How to Check What AI Says About Your Brand (Free Tool)

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 Reputation you can't control — AI models may describe your company inaccurately, mention outdated information, or position you unfavorably compared to competitors.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.

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