GEO / AEO guide
Answer engine optimization: a practical playbook
What actually works, with real examples instead of abstract advice.
AEO and GEO, defined plainly
Answer engine optimization (AEO) is structuring content so AI-powered platforms can find it, understand it, and deliver it as a direct answer to a question — the AI-era equivalent of a featured snippet. Generative engine optimization (GEO) is the broader practice of shaping how generative AI systems (Google AI Overviews, ChatGPT, Perplexity, Claude, and others) describe and recommend a brand across synthesized, blended responses, not just a single extracted answer. By 2026 these are table stakes for any site that wants to be found, not an advanced or optional tactic.
What actually moves the needle
1. Write for direct extraction
AI engines read for meaning and context, not keyword density. Structure key content as a clear question followed by a concise, self-contained answer in the first two to four sentences, then expand with detail. This page and the rest of this site's writing/ section are built this way deliberately.
2. Ship real structured data
JSON-LD — Person, Article, FAQPage, Service — gives both classic search and AI systems an explicit, machine-readable description of a page, rather than making them infer it. It has to actually be present in the served HTML, not only injected after JavaScript runs — a client-rendered page that only builds its schema in the browser is invisible to any crawler that doesn't execute JS, which includes a lot of AI crawlers.
3. Publish an llms.txt file
A concise, AI-facing index of a site's key pages, analogous to sitemap.xml. This site's own guide walks through the format using its live file as the example.
4. Keep facts consistent everywhere
AI systems cross-reference facts about a brand across the sites, profiles, and directories they can see. Inconsistent details — a different title, a different location, a different claim in two places — reduce a model's confidence enough that it may omit a source entirely rather than risk citing something wrong. Keep the same facts everywhere a brand appears.
5. Cite specifics, not generic claims
Named facts, real numbers, and concrete outcomes are what get quoted by generative engines. "We help companies grow" doesn't get cited. "$1.224M in ARR pipeline against a $900K target, up 95% quarter-over-quarter" does — because it's specific enough to be worth repeating.
6. Cover the topic, not just the keyword
Topic targeting matters more than keyword targeting for generative engines, which prioritize comprehensive coverage of a subject over matching a specific phrase. A page that actually resolves the reader's question clearly and credibly outperforms one built around repeating a target phrase.
Real proof, not just advice
At Centage, an FP&A software company, this playbook was the actual work: a GEO/AEO program that took the company from zero AI Overview visibility to routinely recommended across core FP&A search terms, alongside an executive thought-leadership program that drove 3M+ organic impressions and a 436% increase in demo requests.