RankingBite
AI Visibility · GEO

Generative Engine Optimisation

We make your brand the one AI answer engines recommend, not just a source they quote.

At a glance
Pillar
AI Visibility
Engagement
Retained, monthly
Ownership
One senior strategist
Reporting
Weekly digest, monthly review
Pairs with
Answer Engine Optimisation, Entity & Knowledge Graph
Definition

Generative engine optimisation is the practice of making a brand’s information accurate, structured and well-sourced enough that AI answer engines cite it as a source and recommend it as an option when responding to a user’s question.

DefinitionRankingBite · /services/generative-engine-optimization/

Why generative engine optimisation matters now

Buyers increasingly ask a model which vendor to use before they visit a single website, and the model answers with a shortlist it assembled from sources you may have no presence in.

The click is no longer the entry point

A growing share of research happens inside the answer. If the shortlist is produced before anyone reaches a search results page, ranking first on that page decides nothing.

Citation is not the same as recommendation

Models will quote a source and then recommend a different vendor. Being quoted proves you are readable; being recommended requires corroboration from sources that are not yours.

The work compounds slowly

Entity corrections register in weeks. Source coverage moves over model refresh cycles. Starting late is expensive because the deficit is measured in publication timelines, not ad spend.

How does Generative Engine Optimisation work?

  1. Resolve the entity

    Wikidata presence, consistent schema and disambiguation. If a model cannot tell you apart from a competitor, nothing downstream lands.

  2. Make passages extractable

    Claim-first paragraphs, real definitions and structured facts that answer a question in one liftable sentence.

  3. Earn corroboration

    Independent sources that agree. A model will cite one source but only recommends what several support.

  4. Track and correct

    A fixed prompt set run on a schedule so drift is caught rather than discovered at renewal.

What is included?

01

Citation baseline

A fixed prompt set across six answer engines, recording where you are cited, omitted or described incorrectly.

02

Entity remediation

Wikidata claims, Organization and Service schema, and resolution of naming collisions.

03

Extractability rewrites

Priority pages restructured so key claims are quotable verbatim and correctly attributed.

04

Definition assets

Category definitions and comparison tables built to be cited, the formats engines lift most readily.

05

Source coverage plan

Target list of reference and editorial sources worth earning, sequenced by retrieval likelihood.

06

Monthly reporting

Recommendation share, citation share and description accuracy, reviewed live with your team.

How is GEO measured?

Recommendation share on vendor-selection prompts, citation share on informational prompts, and whether the description a model gives of you is factually correct.

  • Recommendation share: how often you are named as an option, or the option, on direct “which should we use” prompts
  • Citation share: how often you appear as an attributed source across a fixed prompt set
  • Description accuracy: whether the model states your category, audience and offering correctly
  • Attribution mix: which sources the model credits, and whether they are yours or third-party
  • Competitive set: which brands appear beside you, and which displace you

BASELINE FIGURES · TO SUPPLY PER CLIENT

Where does it apply?

ChatGPTClaudePerplexityGeminiAI OverviewsCopilot

How does GEO differ from traditional SEO?

Generative engine optimisation compared with traditional SEO
DimensionTraditional SEORankingBite
ObjectiveRank a page in a listBe quoted inside an answer, and recommended by it
Unit of successPosition and clickCitation, attribution and recommendation share
Content shapeComprehensive pages for dwellClaim-first passages, liftable in isolation
Identity workRarely addressedPrerequisite, the entity must resolve first
Authority signalLinks to your domainPresence in retrieved and referenced sources
Failure modeRanking below competitorsAbsent, described wrongly, or cited while a competitor is recommended

Is GEO right for you?

A good fit when

  • Buyers in your category research with AI assistants before shortlisting.
  • You already rank reasonably well and still never appear in AI answers.
  • You can support a multi-month programme rather than a one-off audit.

Not the right service when

  • You have no site content worth extracting yet, content strategy comes first.
  • Your entity is unresolvable and unfunded; start with entity and knowledge graph work.
  • You need leads this quarter, paid channels will be faster.

If a diagnostic shows the constraint is elsewhere, we will say so and point you at the service that actually fixes it, including one we do not sell.

Frequently asked questions

What is generative engine optimisation?

Generative engine optimisation is the practice of making a brand’s information accurate, structured and well-sourced enough that AI answer engines cite it as a source and recommend it as an option when responding to a user’s question.

How is GEO different from SEO?

SEO competes for a position in a ranked list. GEO competes to be quoted inside a synthesised answer and, more importantly, to be the option that answer recommends.

Does GEO replace SEO?

No. Answer engines draw on the same open web search engines index, so ranking authority feeds citation likelihood. We run them as one programme.

How is it measured?

Recommendation share on vendor-selection prompts, citation share on informational prompts, and description accuracy.

Can you guarantee we will be recommended by ChatGPT?

No, and no one credibly can. Model outputs are probabilistic and change with each release. What we can do is fix the conditions that make recommendation likely, resolvable identity, extractable claims, corroborating sources, and measure the change against a fixed prompt set.

How often should recommendation share be measured?

Weekly for the prompt sets that matter commercially. Model behaviour shifts on days-to-weeks timescales, so a quarterly check discovers losses long after the cheapest window to correct them has closed.

Does GEO work for a brand nobody writes about?

It works more slowly. With no third-party coverage there is nothing to corroborate, so the early months go into earning the first independent sources. Brands with existing press move faster.

Who does the work on your side?

One senior strategist owns the engagement end to end, supported by entity and content specialists. There is no handover to a junior delivery team after the sale.

Is GEO the right place to start?

Send your domain and what you are trying to fix. We will tell you whether generative engine optimisation is the constraint, and, candidly, whether we are the right firm for it.