What changed
For twenty-five years, search returned a list and the user chose. Increasingly, an AI system reads several sources and writes one answer, in a chat assistant, in an AI overview above the results, or inside a tool someone is already using.
The consequence for a site: you can influence an answer without receiving a visit. Being the source a model draws on, and being named while it does, becomes its own objective. That objective is what GEO refers to.
What tends to get used
A system assembling an answer needs passages it can lift, compress, and attribute without introducing an error. That preference shapes what kind of writing gets drawn on.
| Hard to quote | Easy to quote |
|---|---|
| "Our platform helps teams move faster" | "Itiner drafts a day-by-day itinerary that keeps the agent's own edits when it regenerates" |
| "Pricing is flexible" | "Plans start at ₹999 per month for one user" |
| "Founded some years ago" | "Navital Labs was founded in 2025" |
| A claim spread over four paragraphs | A claim stated once, completely, in one paragraph |
- Self-contained paragraphs, a passage that only makes sense after reading the previous three won't survive extraction
- Direct answers under question-shaped headings
- Concrete nouns, numbers, and dates rather than adjectives
- Named entities, say the product name and the company name rather than "we" and "it"
- Explicit dates, so a system can prefer current information
Why attribution and consistency matter
A system choosing between conflicting sources looks for corroboration. If your pricing says one thing on your site, another on a directory, and a third in an old blog post, none of the three is safe to state, and the confident competitor gets quoted instead.
Named authorship helps for the same reason. A lesson with a real author, a role, and a page describing their work is easier to attribute than an anonymous article, and attribution is the currency here.
What you can and can't measure
Be honest about this. Generative answers are personalised, non-deterministic, and mostly don't send a referrer. There is no rank position to check, and the same question asked twice can return different sources.
- You can ask several assistants the questions your customers ask, and record what they say and who they cite, repeated over time, that's a real signal
- You can watch for a rise in direct traffic and branded search, which is often where this shows up
- You cannot get a reliable rank number, and any tool promising one is estimating
Applying it
- List the ten questions a customer asks before buyingIn their words. These are the prompts, not the keywords.
- Give each one a page or a clearly headed sectionQuestion as the heading, answer in the first paragraph beneath it.
- Replace vague claims with checkable factsNumbers, dates, names. Everything a system could get wrong by paraphrasing.
- Make every important fact consistent everywhere it appearsSite, directories, profiles, older posts. Fix or remove the stale ones.
- Ask the assistants your ten questions, monthlyLog the answers. The trend is the measurement.
Common mistakes
- Treating GEO as separate from SEO, uncrawlable pages can't be cited
- Writing to be quoted rather than to be accurate
- Leaving contradictory facts across your own properties
- Expecting a rank number that doesn't exist
- Burying the answer three paragraphs into a page
Key takeaways
- Generative answers mean influence without a visit, so being the cited source is the goal
- Self-contained, specific, named, and dated passages are the ones that get used
- Consistency across your properties decides whether a fact is safe to repeat
- Measurement is directional, log assistant answers over time rather than chasing a rank
Try it yourself
Ask two AI assistants a question your customers ask before buying. Note whether you appear, who does, and whether anything said about you is wrong. That wrong thing is usually traceable to a stale page you'd forgotten about.
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