Generative Engine Optimisation: How to Get Cited by AI Search
Generative engine optimisation is the work of making a website easy for AI answer engines to read, quote and attribute. It rests on four things: a clearly defined entity, passages that answer a question in one or two sentences, structured data that labels what each page is, and consistent mentions elsewhere on the web that corroborate your claims.
Search behaviour has shifted. People ask ChatGPT, Perplexity, Gemini and Google AI Overviews a full question and read the generated answer. Some of those answers carry citations. Those citations are the new front page. GEO is how you earn them.
What do AI answer engines actually reward?
They reward retrievability and corroboration. A model needs to find a short, self-contained passage that answers the question, and it needs independent signals that the source is credible.
In practice, three mechanics matter.
Retrieval
Most answer engines use retrieval augmented generation. A query is converted into a search, a handful of passages are pulled in, and the model writes an answer from those passages. If your page buries the answer under 400 words of preamble, the retrieved chunk will not contain it.
Attribution
Engines cite sources they can name. A page that clearly belongs to a named organisation, with an author, a date and a stable URL, is easier to attribute than an anonymous blog post.
Consistency
If your address, service list and founding year differ between your website, your directory listings and your sister company's site, a model has conflicting evidence. It will favour a source that agrees with itself everywhere.
How do you establish entity clarity?
Entity clarity means a machine can answer "what is this business, exactly?" without guessing. Define the entity once, properly, and repeat the same facts everywhere.
Start with a single canonical description. Ours reads the same on every surface: Old Port Solutions LLC, a Dubai free zone company at Cloud Spaces, Dubai Mall Fountain Views, Level M, Downtown Dubai, founded 2021 in Bengaluru, with a sister company Old Port Design LLP in India. That description does not drift between pages.
Then connect the entity to its relationships. Our about page names the Managing Director, Athul Iyju Jacob, and the Operations Director, Gautham Krishna. It links to oldportindia.com for the sister company and to athuliyjujacob.com for the Managing Director. Each link is a verifiable edge in a knowledge graph.
Finally, disambiguate. If your brand name is a common phrase, say what you are not. We distribute Gaatly in the UAE as its exclusive distributor. We are not its parent company. Stating that plainly prevents a model from inferring the wrong relationship.
How should you write an answer block?
Open every page and every major section with a direct answer of 40 to 60 words, then elaborate. The first sentence should be bold and should make sense if it is lifted out of the page entirely.
Test it with one question: if an assistant quoted only this paragraph, would the reader get a correct and complete answer? If the paragraph depends on the heading above it or the sentence after it, rewrite it.
A few rules that hold up well:
- Answer in the first sentence. Qualify in the second.
- Name the subject rather than using a pronoun. Write "generative engine optimisation requires" instead of "it requires".
- Keep numbers and definitions inside the same sentence as the term they define.
- Avoid hedging stacks. One qualifier is credible, three sounds evasive.
- Repeat the question's language in the heading above the answer.
Which schema types support AI comprehension?
Schema does not make a model cite you, but it removes ambiguity about what a page is and who published it. Four types carry most of the weight for a business site: Organization, LocalBusiness, Service and Article.
Keep the markup minimal and accurate.
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Old Port Solutions LLC",
"url": "https://oldport.ae",
"telephone": "+971529614900",
"email": "info@oldport.ae",
"address": {
"@type": "PostalAddress",
"streetAddress": "Cloud Spaces, Dubai Mall Fountain Views, Level M",
"addressLocality": "Downtown Dubai",
"addressCountry": "AE"
},
"sameAs": ["https://oldportindia.com"]
}
A note on FAQ markup. Google narrowed FAQ rich results to a small set of authoritative sites, so most businesses no longer earn the visual snippet from FAQPage schema. The markup is still worth adding, because it labels question and answer pairs unambiguously for any system parsing the page. Treat the rich result as gone and the comprehension benefit as the reason to keep it. Platform rules change, so confirm the current Google structured data documentation before you promise a client a rich result of any kind.
What off-site corroboration do you need?
You need the same facts about your business, stated on sources you do not control. A single website asserting something is a claim. Several independent sources agreeing is evidence.
| Signal | What it corroborates | Effort |
|---|---|---|
| Business profile listings | Name, address, phone, category | Low |
| Industry directories | Services, sector, location | Low |
| Author profiles and bylines | Who wrote the content | Low |
| Press mentions and interviews | Existence, scale, specialism | Medium |
| Sister or group company sites | Group structure, geography | Medium |
| Case studies on client sites | Delivery claims | High |
Audit these once a quarter. Mismatched phone numbers and dead listings do measurable damage, because they give a retrieval system a reason to prefer a competitor whose details agree.
How do you measure GEO?
You measure visibility, not ranking. There is no rank one in a generated answer.
Track four things. First, citation presence: ask the main engines a fixed set of 20 questions your buyers would ask, and record whether you appear. Second, answer accuracy: when you are mentioned, check the facts the model attributes to you. Third, referral traffic from AI sources in your analytics. Fourth, branded search volume, which usually rises when AI answers mention you repeatedly without a click.
Run the question set monthly and keep the wording identical, otherwise you are measuring prompt variance rather than progress.
Where does GEO fit alongside everything else?
GEO is a layer on competent fundamentals. A slow site with a broken information architecture will not be rescued by schema. Fix crawlability and structure first through web design and development, then sharpen positioning so your entity description is worth repeating, then build the content layer through content creation.
Automation helps at scale. We use our AI and automation practice to monitor citation sets and flag factual drift across sites, which is tedious to do by hand across a group of companies. You can see how this thinking shows up in delivered work in our case studies.
Frequently asked questions
What is generative engine optimisation?
Generative engine optimisation is the practice of structuring a website so AI answer engines can understand it, quote it and cite it. It combines entity clarity, direct answer formatting, structured data and off-site corroboration, so a model can retrieve a passage and attribute it with confidence.
Is GEO different from SEO?
GEO extends SEO rather than replacing it. Classic SEO wins a click from a results page. GEO wins a citation inside a generated answer. Both rely on crawlable pages, clear information architecture and credible sources, so the technical foundations overlap heavily.
Does FAQ schema still produce rich results?
Google has restricted FAQ rich results to a narrow set of authoritative sites, so most businesses no longer earn the visual snippet. FAQ schema remains useful because it labels question and answer pairs for machine comprehension. Always verify the current Google structured data documentation before relying on any rich result.
If AI assistants are describing your business inaccurately, or not at all, that is a fixable content and structure problem. Talk to our team about a GEO audit of your site and your off-site footprint. Call +971 52 961 4900, email info@oldport.ae, or use the contact page.
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