Here's a question every marketer should be asking in 2026: What does ChatGPT say when someone asks about your company?

Not Google. Not Bing. ChatGPT. Gemini. Claude. Perplexity.

Over 400 million people use ChatGPT weekly as of early 2026. Millions more use Gemini, Claude, and Perplexity as their primary research tools. When a potential buyer asks an AI model "What's the best CRM for small businesses?" or "Who are the top B2B sales tools?" — your brand either shows up in that answer, or it doesn't.

And unlike Google, where you can check your ranking by searching yourself, you can't easily monitor what AI models say about your brand. The responses change based on context, conversation history, and model updates. What ChatGPT said last month might be completely different from what it says today.

This is the new SEO. And most companies are flying blind.

Why AI Brand Visibility Matters​

The Shift from Search to AI Answers​

Traditional SEO focused on ranking in Google's blue links. Then featured snippets changed the game. Now, AI-powered answer engines are changing it again.

When someone asks ChatGPT "What are the best project management tools?", they get a curated list with explanations — not 10 blue links to click through. If your brand isn't in that AI-generated answer, you're invisible to a growing segment of your audience.

Key stats:

• ChatGPT handles over 1 billion queries per week (OpenAI, January 2026)
• 65% of ChatGPT users report using it to research products and services before buying (Forrester, 2025)
• Perplexity processes 25M+ queries daily, up from 10M in early 2025
• Google AI Overviews now appear on 30%+ of search results pages

What This Means for Your Business​

1. Lost discovery opportunities — If AI models don't mention your brand when users ask relevant questions, you're losing potential customers to competitors who do appear.

2. Reputation you can't control — AI models may describe your company inaccurately, mention outdated information, or position you unfavorably compared to competitors. If you don't know what they're saying, you can't fix it.

3. Competitive blind spots — Your competitors might be showing up in AI answers for your core keywords while you're not. Traditional SEO rank tracking won't catch this.

4. Content strategy gaps — If AI models consistently recommend competitors for certain queries, it reveals gaps in your content and authority that you need to address.

How AI Models Decide What to Say About Your Brand​

Understanding how LLMs form opinions about brands helps you influence them. Here's what matters:

Training Data​

AI models are trained on massive datasets of web content. If your brand appears frequently in authoritative sources — industry publications, review sites, news articles, blog posts — the model is more likely to mention you in relevant contexts.

Recency and Authority​

Models like ChatGPT (with web browsing enabled), Perplexity, and Gemini pull from recent sources. Having fresh, authoritative content about your brand increases your chances of being mentioned.

Semantic Association​

LLMs understand concepts, not just keywords. If your brand is consistently associated with specific solutions (e.g., "MarketBetter" + "sales intelligence" + "B2B"), the model builds that semantic connection and surfaces it in relevant queries.

Reviews and Third-Party Mentions​

G2 reviews, Capterra listings, Reddit discussions, and industry analyst reports all contribute to how AI models perceive and describe your brand. First-party content alone isn't enough.

Structured Data and Content Architecture​

Well-structured content (schema markup, clear headings, definitive statements like "X is a platform that does Y") makes it easier for AI models to extract and cite information about your brand.

How to Check Your AI Brand Visibility​

The Manual Method (Time-Consuming)​

You can manually check by:

1. Opening ChatGPT, Gemini, Claude, and Perplexity
2. Asking questions your target audience would ask (e.g., "What are the best [your category] tools?")
3. Checking if your brand appears in the responses
4. Documenting the results
5. Repeating weekly to track changes

Problems with this approach:

• AI responses vary by conversation context, so you might get different answers each time
• Checking across 4+ AI platforms manually is tedious
• No way to track trends over time
• You'll inevitably miss important queries you should be monitoring

The Automated Method (What Tools Exist)​

Several paid tools have emerged to address this:

• Otterly.ai — Tracks brand visibility across ChatGPT, Perplexity, and Google AI Overviews. Starts at ~$29/month.
• SE Ranking Visible — ChatGPT visibility tracking integrated with their SEO platform. Plans from $65/month.
• Profound — AI search optimization platform with real-time visibility monitoring. Enterprise pricing.
• Frase AI Visibility — Multi-platform tracking for ChatGPT, Gemini, Perplexity, and Claude. Part of Frase's content platform.
• GenRank — Tracks brand mentions and citations in ChatGPT responses. Newer tool.
• AIclicks — AI search optimization and visibility tool for ChatGPT, Perplexity, and Gemini.

Most of these tools are aimed at enterprise SEO teams with monthly budgets of $100-$1,000+.

The Free Method: MarketBetter AI Brand Visibility​

MarketBetter's AI Brand Visibility tool lets you check what AI models say about your brand — completely free.

How it works:

1. Enter your company name or brand
2. The tool queries multiple AI models with the types of questions your target audience would ask
3. You get a clear report showing:
   • Whether AI models mention your brand
   • How your brand is described and positioned
   • Which competitors appear alongside you
   • The sentiment and accuracy of mentions
   • Recommendations for improving your AI visibility

Why it's different from the paid alternatives:

• Free — no signup required, no credit card
• Instant results — see what AI says about your brand in seconds
• Actionable insights — not just raw data, but specific recommendations
• Multi-model coverage — checks across major AI platforms

How to Improve Your AI Brand Visibility​

Once you know where you stand, here's how to improve:

1. Create Definitive, Authoritative Content​

AI models prefer clear, authoritative statements. Instead of vague marketing copy, publish content that definitively describes what you do:

Weak: "We help companies grow with innovative solutions." Strong: "MarketBetter is a B2B sales intelligence platform that tracks job changes, identifies website visitors, and automates personalized outreach."

2. Get Listed on Review Sites​

G2, Capterra, TrustRadius, and similar platforms are heavily referenced by AI models. If you have fewer than 10 reviews on major platforms, that's your biggest gap.

Action items:

• Create profiles on G2, Capterra, and TrustRadius
• Ask 10-20 customers to leave honest reviews
• Respond to every review (positive and negative)
• Keep your product descriptions current

3. Earn Third-Party Coverage​

AI models weight third-party mentions heavily. Being mentioned in:

• Industry publications (TechCrunch, SaaStr, etc.)
• Comparison articles on other blogs
• Podcast transcripts
• Reddit and community discussions

...all contribute to your brand's AI visibility.

4. Publish Comparison and "Best Of" Content​

AI models frequently reference "best of" and comparison content. Publishing your own comparisons (honestly, including competitors) helps models understand where your brand fits in the landscape.

5. Use Schema Markup and Structured Data​

Help AI models understand your brand by implementing:

• Organization schema on your homepage
• Product schema on feature pages
• FAQ schema on relevant pages
• Review/rating schema where applicable

6. Monitor and Iterate​

AI brand visibility isn't a one-time fix. Models update regularly, competitors publish new content, and the AI landscape evolves. Check your visibility monthly and adjust your strategy.

What Queries Should You Monitor?​

Focus on the queries your buyers actually ask:

Category Queries​

• "What are the best [your category] tools?"
• "Top [your category] platforms in 2026"
• "Best free [your category] tools"

Comparison Queries​

• "[Your brand] vs [competitor]"
• "[Competitor] alternatives"
• "Is [your brand] good?"

Solution Queries​

• "How to [solve the problem your product addresses]"
• "Best way to [accomplish the task your product helps with]"
• "Tools for [your use case]"

Brand Queries​

• "What is [your brand]?"
• "What does [your brand] do?"
• "[Your brand] pricing"
• "[Your brand] reviews"

The Future of AI Brand Visibility​

This space is evolving fast. Here's what's coming:

• AI-powered ads — OpenAI, Google, and others are experimenting with sponsored placements in AI responses. If you're not visible organically now, you'll be paying for visibility later.
• Citation-based ranking — As AI models add more citations to their responses, the quality and quantity of sources mentioning your brand becomes even more important.
• Real-time brand monitoring — Tools will evolve to alert you when AI model responses about your brand change, similar to Google Alerts but for AI.
• AI SEO as a discipline — Just as SEO became a core marketing function, "AI SEO" or "LLM optimization" is becoming its own discipline with dedicated roles and budgets.

Start Checking Your AI Brand Visibility Now​

The first step is knowing where you stand. Most companies have never checked what AI models say about them — and many are surprised (often unpleasantly) when they do.

Try MarketBetter's free AI Brand Visibility tool →

Enter your brand name, see what AI thinks about you, and get actionable recommendations for improving your visibility. No signup required.

Want to take action on what you learn? Use our Tech Stack Detector to research competitors' technology, or generate a full AI Marketing Plan to improve your brand's online presence.

Your best customer — the one that closed fast, expanded twice, and has never complained — is not unique. There are hundreds, maybe thousands of companies that look just like them: same industry, similar size, comparable tech stack, facing the same problems.

If you could find those companies systematically, you'd have the most productive prospect list in your entire pipeline.

That's the idea behind lookalike company finding: start with your best customers, identify what makes them great, and find more companies that match. It's how Facebook Ads (now Meta) revolutionized advertising — and it works just as well for B2B sales prospecting.

Yet most B2B sales teams still build prospect lists the old way: filtering by industry and company size in a database, then hoping for the best. It's a blunt instrument. You end up with thousands of "technically-fit" companies, most of which will never buy.

This guide explains how lookalike modeling works for B2B sales, compares the tools available, and shows you how to find companies similar to your best customers — starting for free.

What Is Lookalike Company Finding?​

Lookalike company finding is the process of identifying companies that share key characteristics with your existing customers — particularly your best customers.

Instead of defining your ideal customer profile (ICP) from scratch using industry, size, and location filters, you let the data tell you what your best customers have in common. Then you find more companies that match those patterns.

How It Differs from Traditional Prospecting​

Traditional approach:

1. Define ICP manually (e.g., "SaaS companies, 50-500 employees, US-based")
2. Search a database with those filters
3. Get 10,000+ results
4. Manually sort through to find the good ones
5. Discover that most don't respond because the targeting was too broad

Lookalike approach:

1. Start with 10-20 of your best customers
2. AI analyzes what they have in common (beyond obvious firmographics)
3. Get a ranked list of companies that match, sorted by similarity score
4. Focus outreach on the highest-similarity matches
5. Get dramatically higher response and close rates

The difference is signal density. Traditional filters are binary (yes/no on each criteria). Lookalike models consider dozens of weighted attributes simultaneously, producing a similarity score that tells you exactly how closely a prospect resembles your best customers.

What Makes a Good Lookalike Model?​

Not all lookalike tools are created equal. The best ones consider these dimensions:

1. Firmographics (The Basics)​

• Industry and sub-industry (NAICS/SIC codes)
• Company size (employees, revenue)
• Location (HQ, offices)
• Founding year and growth stage

2. Technographics (What They Use)​

• Technology stack (CRM, marketing automation, analytics)
• Development frameworks and infrastructure
• SaaS tools and integrations

3. Business Model Similarity​

• Revenue model (SaaS, marketplace, services)
• Customer type (B2B, B2C, B2B2C)
• Sales motion (PLG, enterprise sales, channel)

4. Growth Signals​

• Hiring velocity (especially in relevant departments)
• Funding history and stage
• Recent news and expansions

5. Digital Presence​

• Website traffic and engagement
• Content marketing activity
• Social media presence

6. Buying Behavior Indicators​

• Previous technology purchases
• Conference attendance
• Content consumption patterns

The more dimensions a tool considers, the more accurate the lookalike matches will be.

Tools for Finding Lookalike Companies​

MarketBetter Lookalike Company Finder (Best Free Option)​

Website: tools.marketbetter.ai/lookalike-finder

How it works:

1. Enter the name or URL of your best customer
2. AI analyzes the company across multiple dimensions (industry, size, tech stack, business model, growth signals)
3. Get a ranked list of similar companies with similarity scores
4. Export results for outreach

Pricing: Completely free. No signup required.

Why it stands out:

• Zero friction — paste a company name or URL, get results instantly
• AI-powered matching — considers more than just industry and size
• Similarity scoring — ranked results so you know which prospects are closest to your ICP
• Free and unlimited for individual lookups
• Actionable output — results you can immediately use for prospecting

Best for: Sales reps, founders, and small teams who want to quickly find companies similar to their best customers without paying for expensive data platforms.

Instantly (SuperSearch)​

Website: instantly.ai

Instantly's SuperSearch feature includes lookalike company discovery as part of their outreach platform.

How it works: Upload your best customer domains, set filters (industry, size, location), and get similar companies ranked by fit.

Pricing: Free trial available; paid plans from $30/month (outreach), data add-ons extra

Pros: Integrated with email outreach platform, verified contacts included, good UI Cons: Lookalike is part of a larger platform — can't use it standalone, data credits have limits

La Growth Machine​

Website: lagrowthmachine.com

LGM's Lookalike Search lets you enter a company URL and get companies ranked by similarity score.

How it works: Enter a company URL, apply filters (industry, company size, location), browse results ranked by similarity.

Pricing: Plans from €50/month (includes outreach features)

Pros: Similarity scoring, integrated with LinkedIn outreach, good European coverage Cons: Can't use lookalike search without the full platform, limited free usage

Surfe​

Website: surfe.com

Surfe offers company search with smart lookalikes, integrated into their CRM-LinkedIn bridge.

How it works: Search from a database of 350M+ companies, with lookalike matching based on firmographic attributes.

Pricing: Free tier available; paid plans from $39/month

Pros: Large database, LinkedIn integration, CRM sync Cons: Lookalike is one feature among many, limited free tier

Coresignal​

Website: coresignal.com

Data provider offering a "Find Similar Companies" tool based on multiple firmographic and growth attributes.

How it works: Enter a company, get similar companies based on employee data, growth patterns, and firmographic matching.

Pricing: Enterprise/API pricing (contact for quotes)

Pros: Deep data (based on 700M+ professional profiles), growth signals, investor-grade data Cons: Enterprise-focused and expensive, not designed for individual sales reps

Clay​

Website: clay.com

Clay's enrichment platform can build lookalike lists using multiple data sources.

How it works: Import your customer list, use Clay's 75+ enrichment sources to find patterns, then search for similar companies.

Pricing: Free tier (100 credits/month); paid plans from $134/month

Pros: Extremely flexible, combines multiple data sources, customizable scoring Cons: Requires setup and configuration, not a one-click solution, credits-based pricing adds up fast

Apollo.io​

Website: apollo.io

Apollo's database of 275M+ contacts includes company search with advanced filters.

How it works: Search companies by industry, size, technology, and other attributes. No native "lookalike" feature, but you can replicate it by analyzing best customers and applying similar filters.

Pricing: Free tier (unlimited emails, limited features); paid from $49/user/month

Pros: Large database, includes contact data, integrated outreach Cons: No true lookalike search — you're manually building equivalent filter sets

How to Build Your Lookalike Prospect List (Step by Step)​

Step 1: Identify Your Seed Companies​

Start with 10-20 of your best customers. "Best" should mean:

• Fastest time to close — they bought without a long sales cycle
• Highest lifetime value — they expanded or renewed
• Lowest churn risk — they're actively using your product
• Best advocacy — they refer others or leave positive reviews

Don't include one-off wins or customers acquired through unusual channels (e.g., a personal connection). You want customers who bought because of genuine fit.

Step 2: Analyze What They Have in Common​

Look beyond the obvious. Yes, they might all be "mid-market SaaS companies," but dig deeper:

• What specific sub-industry? (e.g., not just "SaaS" but "vertical SaaS for healthcare")
• What growth stage? (Series A? Series C? Bootstrapped?)
• What tech stack? Use MarketBetter's Tech Stack Detector to check
• What departments are growing? (Hiring SDRs? Building a marketing team?)
• How do they sell? (PLG? Enterprise? Channel?)

Document the 5-10 attributes that your best customers share. This is your real ICP — not the one your VP of Sales wrote on a whiteboard, but the one validated by actual buying behavior.

Step 3: Run the Lookalike Search​

Enter your seed companies into MarketBetter's Lookalike Company Finder. Review the results, paying attention to:

• Similarity scores — higher is better, but don't ignore medium-similarity companies entirely
• Companies you recognize — if the tool surfaces companies you already know are good fits but haven't prospected, that's validation the model is working
• Surprises — companies you wouldn't have found through traditional filtering are where the real value lives

Step 4: Enrich and Qualify​

For your top lookalike matches, add additional qualifying data:

• Contacts: Use the AI Lead Generator to find buyer contacts
• Tech stack: Verify technology fit with the Tech Stack Detector
• Recent signals: Check for hiring, funding, product launches, or conference attendance

Step 5: Prioritize and Sequence​

Rank your final list by:

1. Similarity score (highest first)
2. Timing signals (recently raised funding, hiring relevant roles)
3. Accessibility (do you have a warm connection? Are they in your territory?)

Then build your outreach sequences — starting with the highest-priority accounts.

Why Lookalike Prospecting Outperforms Traditional Targeting​

The numbers speak for themselves:

• 2-3x higher response rates compared to broadly-filtered cold outreach (Instantly customer data, 2025)
• 40% shorter sales cycles when prospects closely match your ICP (Gong Labs research)
• 30% higher win rates on ICP-matched deals (TOPO/Gartner research)

This makes intuitive sense: if your best customer is a Series B vertical SaaS company with 100-300 employees using HubSpot and Intercom, and you find another company with those exact characteristics, your pitch is already battle-tested. You know the pain points, the objections, and the value proposition that works.

Common Mistakes in Lookalike Prospecting​

1. Using Too Few Seed Companies​

With only 2-3 seeds, the model can't identify meaningful patterns. Use 10-20 for reliable results.

2. Including Bad Customers as Seeds​

That enterprise customer who churned after 3 months? Don't use them as a seed. You want to find more companies like your best customers, not your worst ones.

3. Ignoring the Similarity Scores​

Not all lookalikes are equal. A company with 95% similarity is fundamentally different from one with 60% similarity. Prioritize accordingly.

4. Skipping Enrichment​

Lookalike data tells you which companies to target. You still need to find the right people at those companies, understand their current situation, and personalize your outreach.

5. Set-and-Forget Mentality​

Your ICP evolves as you close more deals and learn what works. Re-run your lookalike analysis quarterly with updated seed lists.

Get Started: Find Your Lookalike Companies​

The fastest way to build a high-quality prospect list is to start with what's already working and find more of it.

Try MarketBetter's free Lookalike Company Finder →

Enter your best customer's name or URL, and get a ranked list of similar companies in seconds. No signup required, completely free.

Found companies you want to prospect? Use our AI Lead Generator to find buyer contacts, or check their Tech Stack to qualify by technology fit. Need help with outreach? The GiftDM Copilot creates personalized gifts and LinkedIn messages for your top prospects.

It's Tuesday morning. Your sales team is prepping for the biggest trade show of the year. You need a list of every exhibitor, speaker, and sponsor — with company names, booth numbers, descriptions, and ideally contact info — so you can prioritize who to visit and who to prospect before the event.

You go to the conference website. The exhibitor list is there: 400+ companies spread across an interactive floor plan with infinite scroll, lazy-loaded cards, and no export button.

So you start copying and pasting.

Company name. Tab. Description. Tab. Website. Tab. Next company. Repeat 400 times.

This is the reality for thousands of SDRs, AEs, and marketing teams every year. Conference and trade show websites are designed for attendees to browse — not for sales teams to extract. The data is right there, but getting it into a usable format (a spreadsheet, a CSV, your CRM) is absurdly painful.

There's a better way.

Why Conference Lists Are Gold for Sales Teams​

Conference exhibitor, speaker, and sponsor lists are among the highest-quality prospecting sources available:

1. Pre-Qualified by Budget​

Companies that pay $5,000-$50,000+ for a booth at a trade show have budget. They're investing in growth. That's a buying signal you can't get from a cold database.

2. Industry-Specific Targeting​

A cybersecurity conference exhibitor list is a curated list of cybersecurity companies. A SaaS conference speaker list is a roster of SaaS leaders. No filtering required — the conference organizer already did it for you.

3. Timely and Relevant​

Conference lists are current. These companies are actively participating in industry events right now, which means they're engaged, investing, and accessible.

4. Multi-Stakeholder Data​

Speaker lists give you names of decision-makers. Exhibitor lists give you company profiles. Sponsor lists tell you who has the biggest budgets. Combined, it's a complete prospecting package.

5. Pre-Event Outreach Advantage​

The most successful conference prospecting happens before the event. If you can email or LinkedIn-message an exhibitor before the show with "I saw you're exhibiting at [event] — I'll be at Booth 342, would love to connect," your meeting rate goes through the roof.

The Pain of Manual Conference Data Extraction​

Let's be honest about what manual extraction looks like:

Time cost: A typical conference with 300 exhibitors takes 4-6 hours to manually copy into a spreadsheet. That's nearly a full working day.

Error rate: Copy-paste errors are inevitable. Company names get truncated, URLs get mangled, descriptions get partially captured.

Format inconsistency: Different conferences structure their data differently. Some have separate pages per exhibitor. Others use interactive maps. Others use accordion-style lists. Each requires a different manual approach.

Dynamic content problems: Many conference sites use JavaScript-heavy frameworks (React, Angular) that render exhibitor data dynamically. You can't even "View Source" to find the data — it's loaded asynchronously.

Repetitive across events: If your team attends 10+ events per year, you're burning 40-60 hours annually just copying exhibitor data. That's a full work week of pure drudgery.

Methods for Extracting Conference Data​

Method 1: Manual Copy-Paste (The Hard Way)​

Process: Open the conference website, manually select each exhibitor's name, description, and details, paste into a spreadsheet.

Pros: No tools required, works on any site Cons: Extremely time-consuming, error-prone, soul-crushing

Time per event: 4-8 hours for 300 exhibitors

Method 2: Browser Extensions (Semi-Automated)​

Tools like Instant Data Scraper (Chrome extension) can detect tables on web pages and export them.

Process: Install the extension, navigate to the exhibitor page, click the extension, hope it detects the right data, export to CSV.

Pros: Free, fast when it works Cons: Only works on simple HTML tables. Fails completely on dynamically-loaded content, interactive maps, and paginated lists. Captures lots of irrelevant data. Requires manual cleanup.

Success rate: Works on maybe 20% of conference websites. Most modern event sites use dynamic rendering that breaks these extensions.

Method 3: Custom Python Scripts (Technical)​

For developers, writing a custom scraper using libraries like Scrapy, BeautifulSoup, or Playwright is an option.

Process: Inspect the conference website's HTML structure, write a Python script to extract the relevant elements, handle pagination and dynamic loading, export to CSV.

# Example: Scraping a simple exhibitor list with BeautifulSoup
import requests
from bs4 import BeautifulSoup

url = "https://example-conference.com/exhibitors"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')

exhibitors = []
for card in soup.find_all('div', class_='exhibitor-card'):
    name = card.find('h3').text.strip()
    desc = card.find('p', class_='description').text.strip()
    exhibitors.append({'name': name, 'description': desc})

Pros: Highly customizable, handles complex sites, can be reused Cons: Requires programming skills, breaks when site structure changes, needs to be rebuilt for each conference site, can take hours to debug JavaScript-rendered content

Time investment: 2-4 hours to write and debug per conference site

Method 4: Apify Actors (Platform-Dependent)​

Apify offers pre-built scrapers ("Actors") for specific conference platforms like Map Your Show, 10times, and Xporience.

Process: Find the right Actor for your conference platform, input the URL, run the scraper, download results.

Pros: Pre-built for specific platforms, handles dynamic content, outputs structured data Cons: Only works for supported platforms (many conference sites aren't covered), requires an Apify account, costs credits for large runs, doesn't work for custom-built conference websites

Pricing: Free tier includes some usage; paid plans from $49/month

Method 5: Web Scraping Services (Expensive)​

Companies like WebScrapingExpert and ScrapeHero offer custom scraping as a service.

Process: Submit the conference URL, they build a custom scraper, deliver results in 24-48 hours.

Pros: Hands-off, handles any site Cons: Expensive ($50-$500+ per project), slow turnaround, not practical for frequent use

Method 6: MarketBetter Conference Scraper (Free, Any Site)​

MarketBetter's Conference Scraper takes a completely different approach: paste any conference URL and get structured CSVs of speakers, exhibitors, and sponsors.

How it works:

1. Paste the conference website URL
2. The AI-powered scraper analyzes the site structure, navigates through exhibitor directories, speaker pages, and sponsor lists
3. You get downloadable CSVs with structured data: company names, descriptions, booth numbers, speaker names, titles, and topics

Why it's different:

• Works on any conference website — not limited to specific platforms like Map Your Show or Eventbrite
• AI-powered navigation — handles dynamic content, infinite scroll, paginated lists, and JavaScript-rendered pages
• Multiple data types — extracts speakers, exhibitors, AND sponsors in one pass
• Structured output — clean CSVs ready for import into your CRM or outreach tool
• Completely free — no account, no credits, no per-use charges

Time per event: 2-5 minutes (versus 4-8 hours manually)

The Conference Prospecting Workflow​

Here's the complete workflow for turning conference data into booked meetings:

Step 1: Extract the Data​

Use MarketBetter's Conference Scraper to pull exhibitor, speaker, and sponsor lists from your target conference.

Step 2: Enrich with Contact Data​

Conference lists give you company names, but you need individual contacts. Use tools like:

• MarketBetter AI Lead Generator — find buyer contacts at each company on LinkedIn
• Apollo.io — search for contacts by company and title
• LinkedIn Sales Navigator — find decision-makers at target companies

Step 3: Prioritize by Fit​

Not every exhibitor is a good prospect. Score your list by:

• Company size — do they fit your ICP?
• Industry fit — are they in your target vertical?
• Technology fit — use our Tech Stack Detector to check if they use compatible/competitive technology
• Sponsor level — Platinum sponsors have bigger budgets than basic exhibitors

Step 4: Pre-Event Outreach​

Reach out 2-4 weeks before the event:

Email template:

Hi [Name],

I noticed [Company] is exhibiting at [Conference] — we'll be there too.

[One sentence about what you do and why it's relevant to them]

Would love to grab 15 minutes at the event. Are you available on [day]?

LinkedIn message template:

Hey [Name], saw you're speaking at [Conference] on [topic]. Really looking forward to your session.

We work with companies like [similar company] on [relevant problem]. Would be great to connect while we're both there.

Step 5: At-Event Meetings​

With pre-scheduled meetings, your conference ROI multiplies. Instead of wandering the floor hoping for productive conversations, you arrive with a full calendar.

Step 6: Post-Event Follow-Up​

Within 48 hours of the event, follow up with everyone you met and everyone who didn't respond to pre-event outreach:

Great connecting at [Conference], [Name]. As discussed, [reference specific conversation point].

Here's [the resource/demo/proposal] I mentioned. Would [date] work for a follow-up call?

Real-World Example: SaaStr Annual​

Let's say your team is attending SaaStr Annual, one of the largest SaaS conferences with 300+ exhibitors and 200+ speakers.

Manual approach:

• Time to extract exhibitor list: ~6 hours
• Time to extract speaker list: ~3 hours
• Total data extraction: 9+ hours
• Result: One messy spreadsheet with inconsistent formatting

MarketBetter Conference Scraper approach:

• Paste the SaaStr exhibitor page URL
• Wait 3-5 minutes
• Download clean CSVs of exhibitors, speakers, and sponsors
• Total data extraction: 5 minutes
• Result: Three clean, structured CSVs ready for CRM import

Time saved: 8+ hours per event. Multiply that by 10 events per year, and you've reclaimed 80+ hours of productive selling time.

Tips for Effective Conference Prospecting​

Start Early​

The best conference prospecting starts 4-6 weeks before the event. Exhibitor lists are usually published 2-3 months in advance. Don't wait until the week before.

Focus on Speakers​

Conference speakers are typically senior leaders (VP+) who are active in the industry and open to networking. They're often higher-quality prospects than random booth visitors.

Layer Multiple Data Sources​

Combine conference data with:

• Lookalike Company Finder to find similar companies not at the conference
• Tech Stack Detector to qualify by technology fit
• LinkedIn to research individual contacts

Track Your Metrics​

Measure conference prospecting ROI:

• Pre-event emails sent
• Meetings booked before the event
• Meetings held at the event
• Deals generated from conference contacts
• Revenue attributed to conference prospecting

Get Started​

Stop manually copying exhibitor data from conference websites. Paste any conference URL into MarketBetter's free Conference Scraper and get structured CSVs of speakers, exhibitors, and sponsors in minutes.

Try the Conference Scraper free →

Once you have your conference list, use our AI Lead Generator to find buyer contacts at each company, or try the GiftDM Copilot to personalize outreach gifts for your top prospects.

Instantly.ai has become one of the most popular cold email tools on the market, especially among agencies, freelancers, and SMB sales teams. The promise is compelling: unlimited email accounts, built-in warmup, and the ability to send thousands of emails without landing in spam.

But dig beneath the surface — into Reddit threads, Trustpilot reviews, and honest G2 feedback — and you'll find a more nuanced picture. Deliverability issues, confusing pricing tiers, and a tool that works great for some use cases but falls short for others.

Here's our honest assessment of Instantly.ai in 2026.

What Is Instantly.ai?​

Instantly.ai is a sales engagement platform focused primarily on cold email automation. Founded in 2021, it's grown rapidly by offering:

• Cold email campaign automation with multi-step sequences and scheduling
• Unlimited email account connections — send from dozens of inboxes in a single campaign
• Built-in email warmup to build sender reputation and avoid spam folders
• B2B lead database (SuperSearch) — claiming 450M+ verified contacts
• Unified inbox (Unibox) — manage replies across all connected accounts
• AI agents — automated reply handling with customizable tone and instructions
• CRM and deal tracking — basic pipeline management

The platform targets agencies running cold outreach at scale, freelancers doing lead generation, and SMB sales teams looking for affordable outreach automation.

Instantly.ai Pricing: What You'll Actually Pay​

Instantly uses a multi-product pricing model that can get confusing. Here's the breakdown:

Sending & Warmup Plans​

Lead Database Plans (Separate)​

CRM Plans (Also Separate)​

The hidden cost trap: What looks like $37/month quickly becomes $130+/month when you add leads and CRM. Real-world SDR teams using Instantly as their primary platform report spending $200–$400/month — not the $37 headline number.

One G2 reviewer noted: "The only downside is the pricing model — if you're sending large volumes, it can get a bit expensive due to account limits."

The Good: What Instantly Does Well​

1. Unlimited Email Accounts Is a Real Advantage​

Instantly's core selling point is legitimate. Being able to connect dozens of email accounts and split campaign volume across them significantly reduces the risk of any single domain getting flagged. For agencies managing multiple clients, this is genuinely useful.

One Reddit user reports: "I've been using Instantly for all my cold email campaigns. In my last campaign, I sent 2,500 emails and landed 4 clients."

2. Warmup Is Set-and-Forget​

The built-in warmup system runs automatically as soon as you connect an inbox. It gradually increases send volume and simulates engagement to build sender reputation. For teams managing 10+ sending domains, having this automated saves hours of manual work.

A G2 reviewer said: "The most helpful is the email warmup, which is very useful to not go to SPAM."

3. The Interface Is Clean and Intuitive​

Multiple reviewers praise Instantly's UI as "really simple to set up." The campaign builder is straightforward — you add steps, write copy, set delays, and launch. There's no steep learning curve or complex configuration required.

4. AI Reply Agents Are Promising​

Instantly's newer AI agents can handle initial reply sorting and response generation. You customize the agent's tone, give it instructions, and it handles the first response to interested prospects. This is still maturing but shows real potential for scaling personalized follow-up.

5. Good Template Library​

For teams starting from scratch, the pre-built template library covers common outreach scenarios — agency pitches, SaaS sales, partnerships, hiring. The A/B testing makes it easy to iterate on messaging.

The Bad: Where Instantly Falls Short​

1. Deliverability Is Inconsistent — The Biggest Issue​

This is the most common complaint across every review platform. Despite the warmup system, many users report emails still landing in spam.

Reddit and Trustpilot are filled with reports:

• "All my warming emails were going straight to spam"
• "Test emails went to spam even after waiting weeks for warmup"
• "Random bounce spikes with no explanation or alerting"

The core problem: Instantly doesn't offer deep deliverability diagnostics. When things go wrong, there are no real-time alerts or root cause analysis — you're left guessing why your open rates suddenly dropped.

2. Lead Database Quality Is Unreliable​

The SuperSearch database claims 450M+ contacts, but multiple review sources flag data accuracy issues. Reports of outdated emails, wrong titles, and high bounce rates are common. High bounce rates don't just waste credits — they actively damage your sender reputation.

If leads are core to your workflow, you'll likely need a dedicated data provider (Apollo, ZoomInfo, Cognism) alongside Instantly, adding another layer of cost.

3. Campaign Bugs Can Kill Your Pipeline​

This is a serious issue. Multiple Trustpilot and Reddit reviews report campaigns failing to send on schedule or entire email sequences being deleted. When your pipeline depends on emails going out at specific times, these aren't minor inconveniences — they're deal-killers.

One Trustpilot reviewer described a "truly terrible experience" after the platform deleted their entire email sequence right before a launch.

4. No Multi-Channel Outreach (Without Paying Extra)​

Instantly is fundamentally an email tool. There's no LinkedIn integration, no built-in dialer, no SMS capabilities on the standard plans. The top-tier plan adds calling, but most teams on the $37–$97/month plans are email-only.

In 2026, pure email outreach is increasingly less effective. Buyers expect multi-channel engagement, and tools that only do email leave gaps in your coverage.

5. No Intent Data or Prioritization​

Instantly tells you nothing about which prospects are actually interested. There's no website visitor identification, no intent signal detection, and no AI-driven prioritization. You're essentially spray-and-pray with better automation — sending to every contact and hoping some respond.

What Real Users Are Saying​

On G2 (4.8/5 from 3,500+ reviews):

• Highest-rated: Email warmup, ease of use, campaign builder
• Lowest-rated: Customer support, data accuracy, reporting depth
• "Almost all you need — if you don't mind increasing your budget"

On Trustpilot (Mixed):

• Positive reviews praise the warmup and simple UI
• Negative reviews focus on bugs, spam issues, and deleted campaigns
• Support responsiveness gets mixed feedback

On Reddit (r/coldemail, r/sales):

• Popular among agency owners running outreach for clients
• Frequent complaints about deliverability despite following best practices
• Some users report excellent results; others report total failures

Instantly vs. MarketBetter: Volume vs. Intelligence​

The fundamental difference: Instantly helps you send more emails to more people. MarketBetter helps you send the right message to the right person at the right time. One is a volume play; the other is a precision play.

If your strategy is "send 10,000 cold emails and see what sticks," Instantly is built for that. If your strategy is "identify the 50 companies showing buying signals this week and engage them with relevant outreach," that's MarketBetter territory.

Who Should Use Instantly?​

Instantly is a good fit if you:

• Run an agency doing cold outreach for multiple clients
• Need to manage dozens of sending domains and inboxes
• Primarily rely on cold email (not multi-channel)
• Have a separate tool for lead data and enrichment
• Need affordable cold email at scale ($37–$97/month)

Instantly is NOT the best fit if you:

• Need to know which accounts are actively showing buying intent
• Want multi-channel outreach (email + phone + social) in one tool
• Require a built-in dialer without premium pricing
• Need reliable, consistent deliverability for mission-critical campaigns
• Want AI to prioritize your daily outreach tasks

The Bottom Line​

Instantly.ai is a solid cold email automation tool at an accessible price point. For agencies and freelancers running high-volume outbound campaigns, the unlimited email accounts and built-in warmup provide real value. The interface is clean, setup is fast, and when it works well, it works really well.

But "when it works well" is doing heavy lifting in that sentence. The deliverability inconsistencies, campaign bugs, and unreliable lead data are genuine concerns that can't be dismissed. And in 2026, cold email alone isn't enough — buyers are harder to reach, spam filters are smarter, and the teams winning deals are the ones who combine intent intelligence with targeted execution.

Instantly optimizes the sending. But it doesn't help you figure out who's worth sending to.

Want to see what intent-driven outreach looks like? Book a demo with MarketBetter and discover how visitor identification and AI playbooks turn cold outreach into warm conversations.

Last updated: February 2026. Pricing from Instantly.ai website. User feedback sourced from G2, Trustpilot, Reddit, and third-party review sites.

Instantly.ai has one of the simplest pricing pages in the sales tech space. Two plans, clear feature lists, reasonable starting prices. But the advertised $37/month rarely tells the full story.

Here's a complete breakdown of what Instantly actually costs when you're running real outreach campaigns — not just testing the platform.

Instantly.ai Pricing Plans (February 2026)​

Sending & Warmup Plans​

This is the core product — email automation and deliverability.

Annual pricing: Growth $30/month ($360/year), Hypergrowth $77.6/month ($931/year)

Lead Database (Supersearch)​

Need prospect data? That's a separate product:

Cost per verified lead: $0.047 (Growth) to $0.022 (Supersonic)

Other Add-Ons​

Instantly has been expanding its product suite. Each addition is priced separately:

• CRM features — Additional cost beyond basic deal tracking
• Website visitor identification — Separate pricing
• Inbox placement testing — Separate pricing
• DFY (Done-For-You) email accounts — Managed setup service, separate pricing

The Real Cost: What SDR Teams Actually Pay​

Let's model realistic scenarios:

Solo Founder / Freelancer​

Just needs to send cold emails:

This works if you have your own lead lists. The Growth plan gives you 5,000 emails and 1,000 contacts — enough to test outreach.

Small Team (3 SDRs)​

Running outbound at moderate scale:

Why the extras? Instantly doesn't have a built-in dialer or meaningful visitor identification. Most SDR teams need both.

Growth Team (5-10 SDRs)​

Scaling outbound across multiple channels:

The pattern: Instantly's base price is low, but building a complete SDR tech stack around it adds 3-5 additional tools, each with their own billing, logins, and integration headaches.

Hidden Costs to Watch​

1. Contact Limits Are Tight​

The Growth plan caps at 1,000 uploaded contacts. That's not 1,000 per campaign — that's 1,000 total. Most SDR teams burn through this in a week. You'll likely need Hypergrowth ($97/month) within the first month.

2. Lead Credits Expire​

Supersearch credits are monthly. Unused leads don't roll over. If you pull 800 of your 1,000 allotted leads one month, those 200 are gone.

3. Deliverability Is Your Responsibility​

Instantly provides the warmup infrastructure, but deliverability still depends on your domain setup, email content, and sending patterns. Users on Reddit have reported:

• DFY email accounts getting flagged
• Warmup scores not matching actual inbox placement
• Campaigns failing to send without clear error messages

4. No Phone Channel​

Cold email is one channel. If your ICP responds better to phone, you need a completely separate dialer tool that doesn't integrate natively with Instantly. Data lives in two places.

5. Support Quality Varies​

G2 reviews are overwhelmingly positive (4.8/5), but Trustpilot reviews (4.0/5) and Reddit threads flag inconsistent support — especially around billing issues and deliverability troubleshooting.

Instantly vs. All-in-One SDR Platforms​

The fundamental pricing question with Instantly is: Is the cheapest starting price actually the cheapest total cost?

When you factor in all the tools an SDR team actually needs, Instantly's low entry price often leads to a higher total stack cost than platforms that bundle everything.

Who Gets the Best Value from Instantly​

Instantly's pricing makes the most sense for:

1. Cold email specialists — If email is genuinely your only outreach channel, Instantly's price-to-volume ratio is unbeatable
2. Solo operators and freelancers — $37/month to start sending is hard to beat
3. Agencies running client campaigns — Separate workspaces per client, volume pricing
4. Teams that already have a dialer and visitor ID — If you've already got those tools, adding Instantly for email makes sense

Who Should Look Elsewhere​

Instantly's pricing model works against you if:

1. You need multi-channel outreach — Adding a dialer, LinkedIn tool, and chatbot doubles or triples your monthly spend
2. Your team is growing — Per-seat costs for supplementary tools scale linearly
3. You want intent-driven outreach — Instantly sends on a schedule; it can't prioritize prospects showing buying signals on your website
4. You want one login — Managing 4-5 tool subscriptions means 4-5 billing cycles, 4-5 support tickets, and data silos between each

The Bottom Line​

Instantly.ai is legitimately one of the best values in cold email. At $37-$97/month for unlimited email accounts and warmup, the core product delivers.

But "best cold email tool" and "cheapest SDR stack" aren't the same thing. When you add up every tool an SDR team needs — dialer, visitor ID, chat, LinkedIn, CRM — the total cost often exceeds what an all-in-one platform would charge.

Before committing, do the math on your full stack. Instantly's $37 starting price is attractive, but your actual monthly spend might be 5-10x higher once you account for everything else your team needs.

Want to compare costs?​

Book a demo → We'll walk through exactly what MarketBetter replaces in your current stack and show you the total cost comparison.

Lemlist has built a reputation for visual personalization and multichannel outreach. But when it comes to pricing, "from $63/user/month" can mean very different things depending on your team size, channel needs, and outreach volume.

Here's a transparent breakdown of what Lemlist actually costs — including the per-seat math that can surprise growing teams.

Lemlist Pricing Plans (February 2026)​

Core Plans​

Annual pricing discounts: Lemlist offers reduced rates on annual commitments, but exact discounts vary. Expect roughly 20-30% off monthly pricing.

The Per-Seat Problem​

This is where Lemlist's pricing gets complicated. Unlike tools that charge per workspace or per company, Lemlist charges per user. Every SDR on your team needs their own seat.

Team Cost Calculator​

Key insight: A 10-person SDR team on Multichannel Expert pays $10,440/year. That's in the same ballpark as enterprise platforms that include significantly more features.

What's Not Included (Even on Multichannel Expert)​

Even at $87/user/month, Lemlist doesn't cover everything an SDR team needs:

1. Website Visitor Identification — Not Available​

Lemlist has no ability to identify companies visiting your website. You'll need a separate tool:

2. Real Dialer Capabilities — Basic Only​

Lemlist's in-app calling is a sequence step, not a full-featured dialer. For power dialing, recording, coaching, and analytics, you'll need:

3. Website Chat / AI Chatbot — Not Available​

No way to engage website visitors in real-time. Adding this requires:

4. AI-Powered Daily Playbook — Not Available​

Lemlist automates sequences, but it doesn't tell SDRs who to prioritize or what to do next. There's no AI playbook equivalent.

Real-World Total Cost Scenarios​

Startup (2 SDRs, email + LinkedIn)​

This works if email and LinkedIn are your only channels and you don't need visitor tracking.

Growth Team (5 SDRs, full stack)​

Scale Team (10 SDRs, full stack)​

At $2,069/month ($24,828/year), you're paying enterprise prices for a cobbled-together stack that doesn't share data between tools.

Lemlist's Pricing Strengths​

To be fair, Lemlist's pricing does have advantages:

1. Transparent tiers — You know exactly what each plan includes. No "contact us" mystery pricing for standard plans.

2. All-in-one prospecting — The 600M+ lead database, email finder, and phone finder are included in every plan. No separate data costs.

3. LinkedIn included in Expert — Native LinkedIn outreach without a separate tool (unlike many competitors that charge extra or require third-party extensions).

4. 14-day free trial — Test the full platform before committing.

5. Multi-currency billing — USD, EUR, and GBP options reduce conversion fee friction for international teams.

Lemlist's Pricing Weaknesses​

1. Per-seat scaling — Every new SDR is another $63-$87/month. A growing team's costs increase linearly with headcount.

2. Channel gating — Email Pro ($63) excludes LinkedIn, calling, unified inbox, and custom reporting. Most teams end up on Multichannel Expert ($87) — a 38% premium.

3. No visitor intelligence — You're paying for outreach without inbound signal context. Your sequences run blind to website behavior.

4. Agency costs — Managing multiple clients requires additional workspace costs. The per-seat model doesn't favor agencies the way flat-rate or per-workspace models do.

5. Credit system complexity — Lead database and email finder credits add up. Heavy prospectors may find limits restrictive.

How Lemlist Pricing Compares​

The takeaway: Lemlist sits in the middle of the market. More capable than Instantly (which is email-only), less expensive than Outreach (which targets enterprise). But when you add the tools Lemlist doesn't include, total stack cost approaches enterprise pricing anyway.

Who Gets the Best Value from Lemlist​

1. Small teams (1-3 SDRs) — Per-seat pricing is manageable at this scale
2. LinkedIn-heavy outreach — If LinkedIn DMs are your highest-converting channel, Lemlist's native integration is worth paying for
3. Visual personalization fans — Dynamic images and personalized landing pages genuinely differentiate outreach
4. European teams — Multi-currency billing, GDPR focus, and French-language interface
5. Teams that don't need phone/chat — If email + LinkedIn covers your motion, Lemlist is well-priced

Who Should Look Elsewhere​

1. Teams larger than 5 SDRs — Per-seat costs become significant. Look at platforms with team/company pricing.
2. Phone-first sales motions — Lemlist's in-app calling is a sequence step, not a power dialer. If cold calling is core, you need a dedicated solution.
3. Companies wanting intent signals — No visitor ID, no buying signal detection, no AI prioritization of accounts.
4. Teams tired of tool sprawl — If you're already managing 4+ tools, adding Lemlist just moves the deck chairs. Consider a platform that consolidates.

The Bottom Line​

Lemlist is a well-built multichannel outreach tool with genuinely unique personalization features. At $63-$87/user/month, the per-seat cost is reasonable for small teams.

But per-seat pricing is a feature, not a bug — it works in Lemlist's favor when you're small and against you when you grow. A 10-person team pays $870/month for Lemlist alone, before adding the visitor ID, dialer, and chat tools that a complete SDR stack requires.

Before choosing Lemlist, calculate your total stack cost — not just the Lemlist invoice. The platform you think is cheaper might end up being the most expensive line item on a longer receipt.

Want to see what an all-in-one platform costs?​

Book a demo → We'll show you exactly how MarketBetter replaces 3-5 tools in your current stack — and what that means for your bottom line.

Lemlist has carved out a strong niche in the cold outreach space by emphasizing something most competitors ignore: personalization at scale. With features like custom images, personalized videos, and AI-generated multichannel sequences, it promises outreach that doesn't feel mass-produced.

But is the personalization hype worth the premium price? We dug through G2, Capterra, Reddit, and hands-on reviews to separate substance from marketing. Here's what we found.

What Is Lemlist?​

Lemlist is a multichannel sales engagement platform designed for personalized outbound prospecting. Originally launched as an email-only tool, it's evolved into a full outreach platform covering:

• Cold email automation with deep personalization (custom images, dynamic variables, liquid syntax)
• LinkedIn outreach — profile visits, connection requests, messages, and InMail
• Phone integration — task-based calling within sequences
• AI sequence generation — describe your ICP and value prop, get a full multichannel campaign in seconds
• B2B lead database — 450M+ contacts with built-in email verification
• Email warmup (Lemwarm) — deliverability optimization through automated engagement
• Advanced conditions — branch sequences based on prospect behavior (opened, clicked, replied, accepted invite)

Lemlist targets primarily SMB and mid-market sales teams, agencies, and founders doing their own outbound.

Lemlist Pricing Breakdown​

Lemlist offers four tiers with per-seat pricing:

What's frustrating about the pricing:

1. Lemwarm only free on Email Pro and above. If you're on the $39 plan, you need to pay separately for email warmup — the one feature most critical for cold email success.
2. LinkedIn outreach requires the $99+ plan. In 2026, multichannel is table stakes. Locking LinkedIn behind the third tier means most teams pay $99/seat minimum.
3. Lead credits are limited. Even the top plan only gives 500 leads/month. Heavy prospectors will burn through credits fast.
4. Per-seat pricing adds up. A 5-person SDR team on Multichannel Expert runs $495/month — $5,940/year. Add CRM integrations and enrichment, and you're quickly at $7,000–$8,000/year.

The Good: What Lemlist Does Well​

1. Personalization Is Genuinely Best-in-Class​

This is Lemlist's crown jewel. The ability to embed personalized images (with the prospect's name, company logo, or custom graphics) directly into cold emails is a real differentiator. It breaks through inbox noise in a way that plain-text personalization can't.

The personalized landing page and video features are equally creative — you can send prospects to a page that dynamically shows their name and company info, creating a "wow, they built this for me" experience.

2. AI Sequence Generation Is Actually Good​

Lemlist's AI asks for your target audience, value proposition, and preferred tone — then generates a complete multichannel sequence (emails, LinkedIn touches, follow-ups) in seconds. Multiple reviewers note the output is surprisingly usable with minimal editing.

One reviewer from HeyReach said: "AI nailed it. The messaging was concise, personalized, and structured based on top-performing outreach patterns."

3. Multichannel Sequences Are Well-Designed​

The campaign builder for combining email, LinkedIn, and calling steps is intuitive. Advanced conditions let you branch based on prospect behavior — if they open but don't reply, trigger a LinkedIn visit; if they accept a connection, send a LinkedIn message instead of another email.

This behavioral branching is more sophisticated than what most competitors offer at similar price points.

4. Strong Community and Education​

Lemlist has invested heavily in educational content. Their library of tutorials, use cases, templates, and guides is consistently praised on G2. For teams new to cold outreach, this learning ecosystem can accelerate time-to-value significantly.

5. Solid Deliverability Track Record​

Lemwarm's email warmup system is generally well-regarded. While no warmup tool guarantees inbox placement, Lemlist's approach of building sender reputation through engagement patterns gets positive feedback from most users.

The Bad: Where Lemlist Falls Short​

1. Chrome Extension Is Glitchy​

Multiple Capterra and G2 reviewers flag issues with Lemlist's Chrome extension, which is essential for LinkedIn prospecting. Reports of needing to remove and reinstall it multiple times are common. For a tool that charges $99/month for LinkedIn features, extension stability should be rock-solid.

2. Lead Finder UX Is Painful​

Reddit feedback on the lead finding experience is brutal. One r/coldemail user described it: "The contact search is very poor in terms of UX, you literally have to do everything manually line by line, no bulk search is available."

For a platform with 450M+ contacts, the inability to do efficient bulk prospecting is a significant workflow bottleneck.

3. Reporting Is Basic​

While you get email-level metrics (opens, clicks, replies), campaign-level analytics and trend analysis are notably shallow. If you need to understand which sequences perform best over time, identify conversion patterns across campaigns, or generate reports for leadership, Lemlist's analytics will leave you wanting.

4. Per-Seat Pricing Punishes Growing Teams​

Unlike tools like Instantly that offer flat-rate plans, Lemlist's per-user pricing means costs scale linearly with team size. Adding one SDR costs another $99–$159/month. For fast-growing teams, this creates budget pressure that usage-based or flat-rate models avoid.

5. No Intent Data or Visitor Intelligence​

Like most outreach tools, Lemlist helps you reach prospects but doesn't help you find the right ones. There's no website visitor identification, no buying intent signals, and no AI that tells your team who to prioritize today.

Your sequences might be beautifully personalized — but if you're sending them to the wrong people, personalization alone won't save your conversion rates.

What Real Users Are Saying​

On G2 (4.5/5 from 2,500+ reviews):

• Highest-rated: Personalization features, ease of use, sequence builder
• Lowest-rated: Reporting, lead finder UX, pricing flexibility
• "Sending cold emails with a personal twist increases my open rate"
• "Lemlist allows me to do this at scale"

On Capterra (4.6/5 from 380+ reviews):

• Strong praise for personalized images and multichannel approach
• "The Chrome extension is glitchy — had to remove and install multiple times"
• Support team gets good marks for responsiveness

On Reddit (r/coldemail):

• Respected as a quality tool but considered pricey
• Lead finder frustrations are a recurring theme
• Some users report switching to Instantly or SmartLead for better value
• "Not the best bang for your buck" — repeated sentiment on r/coldemail

Lemlist vs. MarketBetter: Personalization vs. Intelligence​

The fundamental difference: Lemlist makes your outreach look and feel personal. MarketBetter ensures your outreach reaches people who are actually in-market. One personalizes the message; the other personalizes the targeting.

The best cold email in the world doesn't matter if it lands in the inbox of someone who isn't buying. And the most generic email in the world can still convert if it reaches someone actively researching solutions right now.

Who Should Use Lemlist?​

Lemlist is a good fit if you:

• Prioritize personalization (custom images, videos, landing pages) in your outreach
• Need LinkedIn outreach integrated with email sequences
• Have a small team (1–5 reps) and want an all-in-one outreach tool
• Already know exactly who your ICP is and have good target lists
• Value educational resources and community support

Lemlist is NOT the best fit if you:

• Need to identify which accounts are showing buying intent
• Want AI-driven daily prioritization of your outreach tasks
• Have a growing team where per-seat costs will escalate quickly
• Need deep reporting and analytics for leadership
• Require a built-in smart dialer (not just task-based calling)
• Want website visitor identification and real-time engagement alerts

The Bottom Line​

Lemlist is a well-crafted multichannel outreach tool with genuinely innovative personalization features. If your outreach strategy centers on making every touchpoint feel custom and human — personalized images, behavioral branching, creative sequences — Lemlist does this better than almost anyone.

The challenges are real, though. The pricing structure punishes growth, the lead finder needs work, reporting is basic, and the Chrome extension reliability is a legitimate concern. But the biggest gap in 2026 isn't about features — it's about intelligence.

Lemlist helps you personalize the outreach. But it doesn't help you identify who deserves personalized outreach in the first place. In a market where intent-driven selling is becoming the standard, "spray beautifully-crafted emails and pray" is still spray and pray — just with better graphics.

Want to see what happens when personalization meets intent intelligence? Book a demo with MarketBetter and discover how to reach the right prospects at the right time — every time.

Last updated: February 2026. Pricing from Lemlist website. User feedback sourced from G2, Capterra, Reddit, and third-party review sites.

Instantly.ai has built a massive following among cold email practitioners. With over 3,600 G2 reviews and a 4.8/5 rating, it's the go-to tool for teams who want to send high-volume cold emails without burning domains.

But if you're evaluating your entire SDR stack — not just email — the comparison gets more nuanced.

MarketBetter is an AI-powered SDR platform that combines website visitor identification, a smart dialer, AI chatbot, and daily playbooks into a single workflow. Instantly.ai is a cold email automation tool that does one thing exceptionally well: scaling outbound email.

The question isn't which is better — it's which problem you're actually solving.

What Each Product Does​

Instantly.ai: Cold Email at Scale​

Instantly built its reputation on three pillars:

• Unlimited email accounts — Connect as many sending addresses as you need on any plan
• Built-in email warmup — Automated reputation building across their network
• Campaign automation — Sequences, A/Z testing, scheduling, and analytics

Since launch, they've expanded into adjacent features:

• Lead database (Supersearch) — 450M+ contacts
• Unibox — Centralized inbox for reply management
• CRM — Basic deal tracking (added recently)
• Website visitor identification — Company-level identification (new addition)

G2 rating: 4.8/5 (3,600+ reviews)

MarketBetter: The AI SDR Operating System​

MarketBetter approaches the problem differently. Instead of optimizing one channel, it orchestrates the entire SDR workflow:

• Website visitor identification — Know exactly which companies are on your site, which pages they visit, and what they care about
• Daily SDR Playbook — AI analyzes signals and tells each SDR exactly who to contact, what channel to use, and what to say
• Smart Dialer — Built-in calling with AI call prep and automatic CRM logging
• AI Chatbot — Engages every website visitor in real-time
• Email automation — Hyper-personalized sequences triggered by intent signals
• AI SEO monitoring — Track how AI platforms talk about your brand

G2 rating: 4.97/5 (top-rated in 15 lead generation categories)

Feature-by-Feature Comparison​

The Core Difference: Data vs. Action​

This is the fundamental divide between these two tools:

Instantly gives you the pipes. It's exceptional infrastructure for sending cold emails at scale. You bring the leads, write the sequences, decide who to contact — Instantly makes sure the emails land.

MarketBetter gives you the playbook. It identifies who's interested (visitor ID), tells you what to do about it (daily playbook), and gives you every channel to act on it (email, phone, chat). The AI doesn't just send — it thinks.

When This Matters​

Consider this scenario: A VP of Sales at a target account visits your pricing page three times this week.

With Instantly: You wouldn't know. Your cold email campaign to that company would continue on its preset schedule, sending the same generic sequence.

With MarketBetter: Your SDR sees this company at the top of their daily playbook with context: "VP Sales visited pricing page 3x this week. Last visit was 2 hours ago. Recommended action: Call now with pricing-specific talk track."

That's the difference between broadcasting and selling.

Pricing Comparison​

Instantly.ai Pricing​

Instantly keeps pricing simple:

• Growth: $37/month — 1,000 contacts, 5,000 emails/month
• Hypergrowth: $97/month — 25,000 contacts, 100,000 emails/month

But the base plan is just email. To build a full stack, you're adding:

Realistic total for a 5-person SDR team: $500-$1,200/month depending on volume and add-ons, plus you still need a separate dialer, chatbot, and visitor ID tool.

MarketBetter Pricing​

MarketBetter bundles everything into transparent per-seat pricing:

• Visitor identification, playbook, dialer, chatbot, email, and AI SEO included
• No per-email charges or credit systems
• No surprise add-on costs

For a 5-person SDR team: All features included. No separate tools needed for calling, visitor ID, or chat.

See current pricing →

What Instantly Does Better​

Credit where it's due — Instantly has real advantages:

1. Cold email volume — If you're sending 100K+ cold emails per month, Instantly's infrastructure is purpose-built for this. Unlimited accounts, automated warmup, and deliverability tools are best-in-class.

2. Low entry price — At $37/month, Instantly is one of the cheapest ways to start cold outreach. MarketBetter is built for teams that need a full SDR platform, not just email.

3. Lead database — Supersearch with 450M+ contacts means you can prospect and send from one tool. MarketBetter relies on integrations for lead sourcing.

4. Community and education — Instantly has built an incredible community of cold email practitioners. Their content and training resources are top-tier.

5. A/Z testing — Test up to 26 email variants simultaneously. Great for optimizing at scale.

What MarketBetter Does Better​

1. Multi-channel orchestration — Email is one channel. MarketBetter coordinates email + phone + chat + visitor signals into one workflow. SDRs don't context-switch between 5 tabs.

2. Intent-driven outreach — Instead of spraying cold emails and hoping someone's interested, MarketBetter identifies companies showing buying signals and prioritizes them.

3. Smart dialer — Phone is still the highest-converting outreach channel for B2B. Instantly has no calling capability at all.

4. AI playbook — This is MarketBetter's secret weapon. The AI doesn't just send emails — it tells your SDRs exactly what to do, who to call, and what to say, every single day.

5. Website visitor identification — This is a core competency for MarketBetter, not a bolt-on. Deep intent data including page visits, frequency, and recency.

6. Speed-to-lead — When a prospect visits your site, MarketBetter can have your SDR calling within minutes. Cold email has an inherent delay.

Who Should Choose Instantly.ai​

Instantly is the right choice if:

• Your entire strategy is cold email — You have lists, you write copy, you just need to send at scale
• You're a solo founder or freelancer — Budget is tight, and $37/month to start cold outreach is hard to beat
• You're an agency — Managing cold email campaigns for multiple clients with separate workspaces
• You don't need phone or chat — Email-only outreach is working for your market
• Volume is your advantage — You win by sending more, not by targeting better

Who Should Choose MarketBetter​

MarketBetter is the right choice if:

• You have SDRs who need a daily workflow — Not just a sending tool, but a complete operating system
• You want to combine inbound and outbound — Website visitors + cold outreach in one platform
• Phone matters for your sales motion — B2B deals that require human conversation
• You're tired of managing 5+ tools — Consolidate visitor ID, dialer, email, chat, and analytics
• You want AI that directs, not just automates — The playbook tells SDRs what to do, not just what to send

The Verdict​

Instantly.ai is the best pure cold email tool on the market. If you've built your entire go-to-market on high-volume cold email and that's working, don't fix what isn't broken.

But if cold email alone isn't enough — if you need phone, chat, visitor intelligence, and an AI that actually manages your SDR's day — MarketBetter is the platform that eliminates the tool sprawl and gives your team a single source of truth.

The real question isn't "which sends better emails?" It's "do my SDRs need a sending tool or a selling platform?"

Ready to see MarketBetter in action?​

Book a demo → See how MarketBetter's AI playbook turns website visitors into booked meetings — no cold list required.

Lemlist has carved out a strong position in the outreach market with its visual personalization and multichannel sequence builder. With a 4.4/5 G2 rating across 966+ reviews, it's a popular choice for sales teams who want to go beyond basic cold email.

But "multichannel" means different things to different platforms.

Lemlist offers multichannel sequences — email, LinkedIn, and calling steps in one campaign builder. MarketBetter offers an AI-powered SDR platform — visitor identification, AI playbooks, smart dialer, and real-time chat, all driven by intent signals.

Both claim to help SDRs book more meetings. The difference is in how they get there.

What Each Product Does​

Lemlist: Visual Personalization + Multichannel Sequences​

Lemlist's strengths center on making outreach feel personal:

• Multichannel sequence builder — Email, LinkedIn (profile visits, invites, messages, voice messages), and calling steps in one visual workflow
• AI-powered personalization — Dynamic images, personalized landing pages, custom GIFs, and AI-generated variables
• Deliverability suite — Lemwarm for warmup, spam tests, inbox rotation, and deliverability monitoring
• B2B lead database — 600M+ contacts with intent signals and lead scoring
• In-app calling — Basic dialer functionality built into sequences

G2 rating: 4.4/5 (966+ reviews) Trustpilot: Mixed reviews — praised for personalization, criticized for complexity and pricing

MarketBetter: The AI SDR Operating System​

MarketBetter approaches outreach from the signal side:

• Website visitor identification — Identify companies visiting your site, which pages they view, and how often they return
• Daily SDR Playbook — AI analyzes all signals and creates a prioritized task list for each SDR every morning
• Smart Dialer — Built-in calling with AI-generated call prep, automatic CRM logging, and real-time coaching
• AI Chatbot — Converts website visitors into conversations 24/7
• Email automation — Hyper-personalized sequences triggered by real buying signals
• AI SEO monitoring — Track how AI engines describe your brand vs. competitors

G2 rating: 4.97/5 (top-rated in 15 lead generation categories)

Feature-by-Feature Comparison​

The Core Difference: Sequences vs. Signals​

This is where these two platforms fundamentally diverge:

Lemlist is sequence-first. You build a multichannel campaign — email on day 1, LinkedIn visit on day 3, call on day 5, follow-up email on day 7. The sequence runs on a schedule, hitting every prospect the same way regardless of engagement.

MarketBetter is signal-first. Instead of running prospects through a preset sequence, MarketBetter watches for buying signals — website visits, page views, return frequency — and tells your SDRs to act on the hottest leads right now.

Why This Matters​

Imagine two SDRs starting their Monday morning:

Lemlist SDR: Opens their sequence dashboard. Sees 47 people due for a LinkedIn touch, 23 due for a follow-up email, 12 due for a call. Works through the list in order — regardless of who's actually interested.

MarketBetter SDR: Opens their daily playbook. Sees: "Acme Corp VP of Sales visited pricing page 3x this week. Priority: HIGH. Recommended: Call now, reference pricing interest." Below that: "TechCo marketing director returned to case studies — send comparison deck." Every action is tied to a real signal.

One follows a script. The other follows buyer behavior.

Pricing Comparison​

Lemlist Pricing​

Lemlist uses per-seat pricing that increases with channel access:

For a 5-person SDR team:

• Email Pro: $315/month ($3,780/year)
• Multichannel Expert: $435/month ($5,220/year)

Important: Lemlist charges per seat. Adding a new SDR means adding another $63-$87/month. This adds up fast for growing teams.

MarketBetter Pricing​

MarketBetter bundles all features — visitor ID, dialer, email, chat, playbook — into one platform:

• No per-channel add-ons
• No credit systems for leads or emails
• All channels included in every plan

See current pricing →

What Lemlist Does Better​

Lemlist has genuine strengths:

1. Visual personalization — Dynamic images with prospect names, personalized landing pages, and custom GIFs. This is Lemlist's signature feature and nothing else does it quite like this. If your outreach strategy depends on visual impact, Lemlist delivers.

2. Native LinkedIn integration — Lemlist's LinkedIn steps are built-in: profile visits, connection requests, direct messages, and even AI voice messages. MarketBetter handles LinkedIn through integrations.

3. Lead database — 600M+ contacts with LinkedIn enrichment makes Lemlist a viable all-in-one prospecting and outreach tool.

4. Sequence builder UX — The visual campaign builder is intuitive. Drag-and-drop multichannel sequences with conditional branching are genuinely well-designed.

5. Agency features — Multi-client workspaces, guest users, and white-labeling options make Lemlist popular with agencies managing outreach for multiple clients.

What MarketBetter Does Better​

1. Intent intelligence — MarketBetter knows who's interested before you reach out. Lemlist sequences run blind — they don't know if a prospect just visited your website or hasn't thought about you in months.

2. Smart dialer — MarketBetter's dialer includes AI-generated call prep, real-time suggestions, and automatic CRM logging. Lemlist's in-app calling is basic — it's a step in a sequence, not a full dialer.

3. AI chatbot — Website visitors get engaged in real-time. Lemlist has no equivalent — if someone visits your site while a Lemlist sequence is running, you'd never know.

4. Daily playbook — This is the killer feature. Instead of SDRs deciding what to work on, AI analyzes every signal and creates a prioritized, actionable task list. It's the difference between a to-do list and a GPS.

5. Speed-to-lead — When buying signals appear, MarketBetter surfaces them immediately. A Lemlist sequence can't react to a website visit that just happened — the prospect won't get touched until their next scheduled step, which might be days away.

6. Consolidated platform — One tool replaces visitor ID + dialer + email + chat + analytics. Lemlist covers email and LinkedIn well but still leaves gaps for calling, visitor tracking, and chat.

Who Should Choose Lemlist​

Lemlist is the right choice if:

• Visual personalization is your edge — You've tested it and personalized images/landing pages genuinely improve your reply rates
• LinkedIn is your primary channel — Native LinkedIn outreach with voice messages and profile visits is core to your motion
• You're an agency — Multi-client management, guest users, and white-labeling matter
• You have your own lead sources — You already know who to contact and just need a great way to reach them
• You want a proven outreach tool — Lemlist has 966+ G2 reviews and years of iteration

Who Should Choose MarketBetter​

MarketBetter is the right choice if:

• You need intent signals, not just sequences — You want to know who's interested before you reach out, not just blast a list
• Phone is critical to your sales motion — B2B deals that close on calls need a real dialer, not a basic calling step
• You want fewer tools — Consolidate visitor ID, dialer, email, chat, and analytics into one platform
• Your SDRs need direction, not just tools — The daily playbook tells reps what to do, not just what's available
• Inbound + outbound in one workflow — Website visitors and cold outreach feeding the same AI prioritization engine

The Verdict​

Lemlist is an excellent multichannel outreach tool with best-in-class visual personalization and strong LinkedIn integration. If your outreach strategy is built around creative, high-touch sequences and LinkedIn is a primary channel, Lemlist delivers.

But outreach is only half the equation. Knowing who to reach and when to reach them is where deals are won or lost. MarketBetter's visitor identification and AI playbook ensure your SDRs aren't just executing sequences — they're responding to real buying signals in real time.

The choice comes down to this: Do you need a better way to reach prospects, or a better way to know which prospects to reach?

Ready to see the difference?​

Book a demo → Watch how MarketBetter's AI playbook turns website visitors into your SDR team's highest-converting leads.

Reply.io has been in the sales engagement game for over a decade. It's one of the OGs — multichannel sequences across email, LinkedIn, SMS, and calls, all from one platform. Over the years it's evolved from a simple email automation tool into a full AI outreach platform with its own B2B data layer.

MarketBetter takes a fundamentally different approach. Instead of automating outreach sequences, it identifies who's ready to buy and tells your SDRs exactly what to do about it.

Both platforms serve SDR teams. But they solve very different problems. Here's how to know which one you actually need.