How to get cited by every AI engine

Why isn't optimizing for Google enough?

Because most AI engines don't read the web through Google. Google's own guide puts it plainly: "From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO." Google Search Central That's true for Google. The other engines get their pages elsewhere:

So a site can be perfect for Google and still be invisible to ChatGPT, for example because a firewall blocks OAI-SearchBot or because the site isn't in Bing. Google has no reason to warn you about that.

What is the two-layer method?

It splits the work into what every engine needs and what only some engines use.

• Layer 1, the foundation. Everything Google asks for, which also happens to be what every other engine needs. Do it first.
• Layer 2, the reach. The extra steps that let engines outside Google find and trust you. Google ignores them, and the others use them.

The point of the split is that the two layers never conflict. Nothing in Layer 2 costs you anything in Google. On llms.txt, Google says these files "won't negatively or positively impact your visibility or rankings" in Google Search, and "it's fine if you want to maintain these files for other services or systems that use them." Google Search Central

What goes in Layer 1?

The basics every engine rewards, because every engine has to find, read and trust a page before it quotes it:

1. Crawlable and indexed. Google says a page must be "indexed and eligible to be shown in Google Search with a snippet." Google Search Central Other engines need the same thing from their own crawlers.
2. Text in the HTML. Key facts should be readable without JavaScript. Some crawlers run it; many don't.
3. Answer first. Put the direct answer in the first sentence under each heading, so a short passage can be quoted on its own.
4. Facts that match everywhere. Name, address, services, prices and hours should be the same on your site, listings and profiles.
5. Markup that matches the page. Google says structured data isn't required for its AI features, but if you use it, it must match what readers see. Google Search Central
6. Real proof. Reviews, credentials and mentions from other sites that back up what you say.

What goes in Layer 2?

The steps that reach engines outside Google. Each one is cheap, and each has an engine that says it matters:

On schema: Google calls it optional for its AI features, while Microsoft says schema "helps search engines and AI systems understand your content." Microsoft Advertising Brave's head of search said in 2024 that it pays "special attention to schema.org structured data when building the context of the LLM prompt." Search Engine Journal So keep your markup accurate: Google won't mind, and Microsoft and Brave both say they use it.

On llms.txt: no major answer engine has said it uses the file to pick sources. Its author says it's used mostly by AI agents, and that coding agents "use them reliably." llmstxt.org It's a small file. Treat it as reach for agents, not as a ranking lever.

How do I apply the method, step by step?

1. Fix access first. Make sure Googlebot, Bingbot and each AI search crawler can reach your key pages, in robots.txt and at your firewall.
2. Get indexed in Google and Bing. Verify your site in Google Search Console and Bing Webmaster Tools and submit a sitemap to each.
3. Rewrite the openings. Make the first sentence under each heading answer that heading's question.
4. Line up your facts. Make your site, Google Business Profile, Apple Business listing and main directories say the same thing.
5. Check your markup against the page. Keep only structured data that matches visible text, and fill it in completely.
6. Add the agent files. Publish an llms.txt and Markdown copies of your main pages.
7. Post where the engines look. Keep public Facebook, Instagram and X accounts that say what you do and where.
8. Measure every engine, not one. Ask each assistant your customers' questions and see who it cites.

Where are the guides for each engine?

Each engine has its own page with its crawlers, its sources and its checklist:

• ChatGPT and ChatGPT ranking factors
• Google AI Overviews and AI Mode and Gemini
• Claude and Perplexity
• Microsoft Copilot and Brave Search
• Siri and Alexa+
• Meta AI and Grok
• Mistral Vibe, DeepSeek and DuckDuckGo

For the crawler side of all of them in one place, see which AI crawlers to allow.

How do I know it's working on every engine?

Google now reports AI Overviews and AI Mode impressions in Search Console's generative AI performance report, and Bing Webmaster Tools reports citations in Copilot. Google Search Central Bing Webmaster Blog Neither covers ChatGPT, Claude, Perplexity or the rest.

For those, you have to ask them. Put the same customer questions to each assistant and note who it names and links. Answers change from day to day, so check more than once. Our Prompt Simulator runs one question across 12 engines at once, and how to measure AI visibility covers what to track over time.

Sources

1. Google's Guide to Optimizing for Generative AI Features on Google Search — Google Search Central. Read Sep 30, 2026.
2. Latest Google Search Documentation Updates — Google Search Central. Read Sep 30, 2026.
3. AI features and your website — Google Search Central. Read Sep 30, 2026.
4. Introducing Search Generative AI performance reports in Search Console — Google Search Central. Read Sep 30, 2026.
5. Overview of OpenAI Crawlers — OpenAI. Read Sep 30, 2026.
6. Searching the web with ChatGPT — OpenAI Help Center. Read Sep 30, 2026.
7. Does Anthropic crawl data from the web, and how can site owners block the crawler? — Claude Help Center. Read Sep 30, 2026.
8. Anthropic Trust Center: Brave Search added as a subprocessor — Simon Willison. Read Sep 30, 2026.
9. Perplexity Crawlers — Perplexity. Read Sep 30, 2026.
10. Data, privacy, and security for web search in Microsoft Copilot and Microsoft Copilot Chat — Microsoft Learn. Read Sep 30, 2026.
11. Introducing AI Performance in Bing Webmaster Tools Public Preview — Bing Webmaster Blog. Read Sep 30, 2026.
12. Brave Search Crawler — Brave Search Help. Read Sep 30, 2026.
13. The Brave Search API shows exponential growth, emerging as the best search tool to power AI apps — Brave. Read Sep 30, 2026.
14. Brave Announces AI Search Engine - Shares Insights For SEO — Search Engine Journal. Read Sep 30, 2026.
15. Optimizing Your Content for Inclusion in AI Search Answers — Microsoft Advertising. Read Sep 30, 2026.
16. DuckAssistBot — DuckDuckGo Help. Read Sep 30, 2026.
17. About Applebot — Apple Support. Read Sep 30, 2026.
18. Meta Web Crawlers — Meta for Developers. Read Sep 30, 2026.
19. Mistral crawlers — Mistral Docs. Read Sep 30, 2026.
20. About AmazonBot — Amazon Developer. Read Sep 30, 2026.
21. Web Search — xAI Docs. Read Sep 30, 2026.
22. Public Summary of Training Content for DeepSeek-V4 — DeepSeek. Read Sep 30, 2026.
23. The /llms.txt file, v2 — llmstxt.org. Read Sep 30, 2026.