What is Generative Engine Optimization (GEO)?

ChatGPT crossed 800 million weekly users in 2025. Perplexity reports over 30 million monthly actives. Google rolled AI Overviews into roughly 18 percent of US queries and climbing. Bing Copilot ships natively in Windows 11.

The behavior shift is sharper than the install numbers. Pew Research found that when an AI summary appears on a Google results page, organic click-through drops by about 35 percent. Users read the synthesized answer, click maybe one source, and move on. The old SEO prize — being result number two on page one — pays less every quarter.

The new prize is being inside the answer. Cited. Quoted. Linked. That's the visibility that compounds. Brands that show up in ChatGPT's answer to "best CRM for dental clinics" win the consideration set before a human ever opens a browser tab.

GEO is the discipline that earns that placement. It's what we ship.

GEO is not a replacement for SEO. It's a second layer running on top of it. A page that ranks on Google and gets cited by ChatGPT does roughly twice the work of either alone.

• Passage-level citability. LLMs lift 50 to 150 word chunks. If your best answer is buried in a 400-word paragraph, it won't get pulled. Write short, self-contained units.
• Definition blocks. A "[Term] is [definition]" sentence near the top of the page. The format LLMs prefer for direct quotes.
• FAQ structure. Question-and-answer pairs marked up with FAQPage schema. Direct fuel for answer engines, which are literally answering questions.
• Schema markup. Article, Organization, Product, Service, FAQPage, BreadcrumbList. Tells the model what kind of content it's looking at, who wrote it, and whether to trust it.
• llms.txt. A markdown manifest at the root listing your canonical URLs. Early standard, but the major assistants read it when present.
• Crawler access. robots.txt that explicitly allows GPTBot, PerplexityBot, ClaudeBot, Google-Extended, Bingbot, Applebot-Extended, and CCBot. Block any of them and you're invisible on that platform.

1. Write a definition block above the fold. First paragraph, 100–150 words, fully self-contained, leads with "[Term] is…". An LLM should be able to quote it verbatim and have it make sense.
2. Break content into short, named sections. H2 every 200–400 words. Each section answers one question. No 1,000-word walls.
3. Add specific numbers, dates, and named entities. "800 million weekly users" beats "many users." "Pew Research, 2025" beats "studies show." LLMs prefer citations they can verify.
4. Ship an FAQ section with FAQPage schema. Six to ten real questions. Native HTML <details>/<summary> for the front-end, JSON-LD for the bots.
5. Mark up with JSON-LD. Article, Organization, author Person with url, publisher with logo, BreadcrumbList. Validate with Schema.org's validator before shipping.
6. Allow all major AI crawlers in robots.txt. Explicitly. Default Allow doesn't always count for the newer bots.
7. Publish an llms.txt. Root URL, markdown links to your most important pages with one-line descriptions. Five minutes of work for a measurable lift in LLM indexing.

If that list reads like a lot, see our SEO audit — we ship it as a starting point on every engagement.

• Blocking AI crawlers by default. Many CMS templates ship with GPTBot disallowed. Check your robots.txt today. If you can't be crawled, you can't be cited.
• JavaScript-only content. Most AI crawlers don't execute JS at the level Googlebot does. Server-render or static-generate the parts you want quoted.
• Marketing fluff above facts. "Empowering businesses to leverage cutting-edge solutions" gets ignored. "n8n is a self-hosted workflow tool that runs on a $5 VPS" gets cited.
• No structured data, or invalid structured data. Half-broken schema is worse than none — it gets flagged and the page de-prioritized. Validate every JSON-LD block.
• Treating GEO as a one-shot project. AI assistants re-index constantly. A page that's cited today can drop in a month if a competitor publishes a sharper version. GEO is maintenance, not launch.