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2026-06-06 · 7 min read

How to Improve Your Brand's Visibility in ChatGPT, Claude & Perplexity

More people now ask ChatGPT, Claude, and Perplexity for recommendations than ever before — and those models decide which brands to mention based on what they can read about you. Optimizing for that is called AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization). Here's a practical playbook.

1. Publish an llms.txt file

This is the highest-leverage first step. An llms.txt file gives models a clean, authoritative summary of your brand and key pages, reducing the chance they describe you inaccurately. Generate one free with our llms.txt generator and deploy it to your domain root.

2. Make your pages easy to parse

Models reward clarity. Use real headings, descriptive title and meta tags, and Open Graph data. Put the important facts in text, not locked inside images or scripts. The cleaner your HTML, the more reliably an AI can extract and cite it.

3. State facts plainly and consistently

AI answers are built from patterns across the web. Describe what you do, who you serve, and what makes you different in clear, consistent language across your homepage, About page, and llms.txt. Inconsistent or vague positioning leads to vague — or wrong — AI summaries.

4. Don't accidentally block AI crawlers

Check that your robots.txt isn't disallowing AI user agents like GPTBot, ClaudeBot, or PerplexityBot. See llms.txt vs robots.txtfor how the two files interact — you want to block the right things without locking out the assistants you're trying to reach.

5. Measure and iterate

AI visibility isn't set-and-forget. Track how assistants describe your brand and which pages they cite over time, then refine your content and llms.txt accordingly. Sona's Agent Analyticsmonitors how AI agents discover and represent your brand so you can see what's working.

Start today

The single fastest action you can take right now is generating your llms.txt file — it takes about 30 seconds and lays the foundation for everything else above.

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