Is ChatGPT Recommending Your Brand? How to Check and Improve AI Visibility (GEO Guide)

When someone asks an AI assistant "what's the best tool for X?", a short list of brands appears. If yours isn't on it, you're invisible in a growing share of buying conversations. Generative engine optimization (GEO)—also called answer engine optimization (AEO)—is the practice of improving how AI assistants understand, mention, and cite your brand.

Table of Contents

1. How AI Assistants Decide What to Mention
2. How to Check Your AI Visibility
3. Why You're Not Being Mentioned
4. What Actually Improves AI Visibility
5. What Probably Doesn't Matter Much
6. Measuring Progress
7. Key Takeaways

How AI Assistants Decide What to Mention

Two broad sources shape AI answers:

1. Training data — what the model learned from the web before its cutoff.
2. Live retrieval — web searches the assistant runs while answering, then cites.

For retrieval, the assistant's search and crawler access matter. For training, broad, consistent presence across trusted sources matters.

How to Check Your AI Visibility

1. List 10–20 prompts your buyers would ask ("best session replay tool for startups," "alternatives to X," "how to fix Y").
2. Run them across ChatGPT, Perplexity, Gemini, Copilot, and Claude.
3. Record: is your brand mentioned? In what position? Is it cited with a link? Is the description accurate?
4. Repeat monthly—answers vary run to run, so look for patterns over time.

DeepSync's AI visibility feature (Business and Enterprise) tracks brand mentions in AI answers for topics you choose, plus AI referral traffic and crawler activity.

Why You're Not Being Mentioned

What Actually Improves AI Visibility

1. Let the right crawlers in. Decide deliberately which AI crawlers to allow (crawler guide).
2. State your positioning plainly. "DeepSync is a session replay and heatmap tool for startups and e-commerce" beats clever taglines.
3. Answer specific questions with clear, factual pages: comparisons, alternatives, how-tos, pricing.
4. Earn third-party mentions: reviews, directories, community discussions, guest posts, comparisons by others.
5. Keep facts consistent everywhere—pricing, features, and descriptions.
6. Use structured data (FAQ, Organization, Product) so facts are machine-readable.

What Probably Doesn't Matter Much

• Keyword stuffing for AI—models read for meaning.
• llms.txt alone—a useful convention to offer, but there's little public evidence that major assistants rely on it today. Treat it as a nice-to-have.
• Publishing hundreds of thin pages—quality and corroboration matter more than volume.

Measuring Progress

• Monthly prompt audit (mention rate, position, accuracy).
• AI referral traffic and conversions (tracking guide).
• Crawler activity—are AI crawlers reading your key pages?

Key Takeaways

• AI answers draw on training data and live retrieval.
• Audit visibility with a fixed set of buyer prompts every month.
• Check crawler access at both robots.txt and CDN level.
• Plain positioning, answer-shaped content, and third-party mentions matter most.

Conclusion

AI assistants are becoming a front door to your market. Make sure they know who you are—and describe you accurately.

See AI visibility plans.