How to get your brand cited by ChatGPT, Claude, Gemini, Perplexity, and every other AI platform that your customers are asking questions on right now.
AI visibility is how often your brand appears in answers from AI platforms like ChatGPT, Claude, Gemini, and Perplexity. When someone asks an AI "what's the best tool for X" or "how does Y work," AI visibility determines whether your brand gets mentioned — and how accurately it's described.
It's the AI-era equivalent of search engine rankings. Except instead of a list of blue links, AI platforms generate a single authoritative answer. Brands that aren't optimized for this simply don't exist in that answer.
AI platforms weigh these five factors when deciding whether to cite your brand. Weak on any one of them and you're losing citation share to competitors who aren't.
Structured data (JSON-LD) tells AI crawlers exactly what your brand is, what you offer, and how everything connects. Organization, FAQPage, Product, and Article schemas are the highest-impact starting points.
A plain-text file at yourdomain.com/llms.txt that introduces your brand to AI crawlers. It covers what you do, who your customers are, your key URLs, and how you want to be described in AI responses.
AI models pull from structured entity data across the web. Your brand needs a consistent presence on Crunchbase, LinkedIn, G2, Capterra, Wikipedia (if applicable), and schema.org-based directories.
AI models are trained on the web. Pages that directly answer common questions in your category get cited. Write content that matches the exact phrasing of questions your customers ask AI platforms.
AI crawlers need to read your site. Missing or blocking crawlers in robots.txt, slow server response, missing sitemaps, and JavaScript-only rendering all reduce how often AI models discover and index your content.
Complete these in order. Most brands see measurable score improvement within 2-3 weeks.
Each AI platform uses different data sources. Here's what actually matters for each one.
ChatGPT with web search pulls from Bing-indexed pages. Submit your sitemap to Bing Webmaster Tools and use IndexNow for near-instant indexing. GPTBot crawls independently — allow it in robots.txt.
Claude is trained on curated web data and Anthropic sources. Entity authority matters most here. Get your brand in Crunchbase, LinkedIn, and high-authority publications that Anthropic training data includes.
Gemini integrates with Google Search. Standard SEO and structured data carry over directly. Google AI Overviews also use this pipeline — rich results eligibility correlates strongly with AI Overviews citations.
Perplexity actively crawls the web with PerplexityBot. It cites sources inline, so high-authority inbound links and well-structured content increase citation probability. Answer-format pages perform best.
Grok pulls from X (Twitter) data and the web. An active brand presence on X, including clear bio and consistent messaging, strengthens how Grok describes your brand in responses.
Most AI platforms weigh brand authority from the same signals: directory listings, structured data, inbound links from trusted sources, and consistent brand name usage across the web.
| Factor | SEO (search engines) | GEO (AI engines) |
|---|---|---|
| Output format | List of links | Single generated answer |
| Key signal | Backlinks + page authority | Entity data + structured content |
| Ranking factor | Keywords on page | How well AI can extract meaning |
| Click-through | Users choose from results | AI answer cited directly |
| Update speed | Weeks to months | Days to weeks |
| Schema value | Rich results eligible | Core citation signal |
| Primary tool | Google Search Console | BrandCited AI Visibility Score |
Add explicit Allow rules for GPTBot, ClaudeBot, PerplexityBot, and Applebot.
At minimum: Organization schema on every page, Article schema on blog posts.
Write a specific, category-precise description in both your metadata and llms.txt.
Create /llms.txt and list your brand intent, key pages, and customer context.
Use server-side rendering. AI crawlers often cannot execute JavaScript.
Crunchbase, LinkedIn, G2, and relevant directories are minimum coverage.
The questions we hear most from brands getting started with GEO.
AI visibility is how often and how prominently your brand is cited in AI-generated answers from platforms like ChatGPT, Claude, Gemini, Perplexity, and others. It is the AI-era equivalent of search engine rankings — except AI platforms generate a single authoritative answer instead of a list of links.
The five main factors are: structured data (schema markup), a well-formatted llms.txt file, entity presence in directories like Crunchbase and Wikipedia, content that directly answers questions AI models are asked, and a clean technical site structure that AI crawlers can access.
llms.txt is a plain-text file placed at the root of your website that tells AI models and crawlers what your brand does, what pages are most important, and how your content should be understood. It is like robots.txt but for AI platforms.
GEO stands for Generative Engine Optimization — the practice of optimizing your website and content so that AI-powered answer engines cite your brand, recommend your products, and reference your expertise in their responses.
Most brands see measurable score improvement within 2–3 weeks of implementing the quick-start checklist above. Schema markup and llms.txt changes are picked up fastest. Entity building (Crunchbase, directories) takes 4–8 weeks to propagate into AI model responses.
Yes — many AI signals overlap with SEO signals. Strong backlinks, clear content structure, fast load times, and Google indexing all feed into how AI platforms evaluate your authority. GEO extends SEO, it does not replace it.
Detailed guides on every aspect of AI visibility optimization.
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