What is GEO (Generative Engine Optimization)?

What is GEO (Generative Engine Optimization)?

GEO — Generative Engine Optimization — is the practice of structuring your business's content, data and reputation so AI assistants like ChatGPT, Gemini and Perplexity can find, verify and cite your business when someone asks a question your customers would ask, such as "who's a good landscaper near me?"

Where SEO earns you a position on a results page, GEO earns you a mention inside a generated answer. There is no page two of a ChatGPT response: the model names one or a few businesses it can confidently support with evidence, and the conversation usually ends there. GEO is about becoming one of the names a model is confident enough to say out loud.

The term covers the same ground you may see called AI SEO, answer engine optimization (AEO) or LLM optimization — different labels for optimizing your visibility in generated answers rather than ranked links.

How is GEO different from SEO?

SEO optimizes for ranked positions on a search results page; GEO optimizes for citations inside a single AI-generated answer. SEO rewards keywords, backlinks and crawlability. GEO rewards verifiable facts: structured data, consistent business details across the web, strong reviews, and content written so a machine can quote it cleanly.

The two share a foundation — a fast, crawlable site with clean structured data helps both — but they diverge in what they reward on top of it. A keyword-stuffed page can still rank on Google while being useless to a model trying to extract one clean, quotable fact about your business.

How do AI assistants choose which businesses to recommend?

AI assistants recommend businesses they can verify from multiple consistent sources: the same name, location and services everywhere they look, schema markup that states facts machine-readably, a visible review record, and pages that answer questions directly enough to quote. Inconsistency or thin evidence keeps a business out of the answer.

In practice a model is doing something close to due diligence at speed. If your website says one trading name, your Google Business Profile another, and a directory a third, the model can't reconcile you into one confident entity — so it cites a competitor it can. This is why entity consistency, unglamorous as it is, sits at the centre of GEO.

How do I show up in ChatGPT recommendations?

Make your business easy to verify and easy to quote: use one exact business name everywhere, add LocalBusiness schema markup to your site, build a steady stream of Google reviews, publish pages that answer real customer questions directly, and keep your service areas and services stated in plain text a model can lift.

1. 1
   Fix your entity

   One business name, one address format, one phone number — identical across your website, Google Business Profile, Facebook, directories and invoices.
2. 2
   Add structured data

   LocalBusiness/Service schema markup states your services, area and contact details in the machine-readable form models and crawlers trust most.
3. 3
   Build the review record

   Reviews are a reputation signal AI models weigh heavily. Automate the ask after every job so volume and recency build without manual chasing.
4. 4
   Publish answer-shaped content

   Pages with question-shaped headings and direct 40–60 word answers give a model something it can quote — a wall of marketing copy gives it nothing.
5. 5
   Measure your citations

   Track whether AI assistants actually mention you for your key queries, the way you'd track rankings — otherwise you're optimizing blind.

How is GEO measured?

GEO is measured by systematically asking AI assistants the questions your customers ask — "best plumber in [suburb]", "who can re-turf my lawn near me" — and recording whether your business is cited, how it's described, and how often you appear versus competitors. That citation rate and share of voice is your GEO baseline.

Because generated answers vary between runs and models, measurement has to be repeated on a schedule rather than checked once. This is what RankCanvas automates: it probes AI answers for your target queries alongside your Google rankings, then reports both — citations, sentiment and share of voice — in one monthly executive summary.

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