Generative engine optimization improves the accessibility, clarity and credibility of information AI-search systems may retrieve and cite. It includes technical foundations, useful content, consistent entities and external authority.

Is GEO a replacement for SEO?

No. They share foundations but measure different surfaces. We connect the work while reporting conventional rankings, AI mentions and citations separately.

Can you guarantee ChatGPT recommendations?

No. Platforms control their answers. We agree deliverables, observation conditions and reporting without promising a citation or recommendation.

Which engines do you assess?

ChatGPT, Gemini, Perplexity and Google AI-search surfaces can be included. Availability, markets, prompt set and observation method are agreed before work begins.

Does llms.txt improve rankings?

It is a crawler-facing summary and navigation aid. We do not claim it causes rankings or citations, and it does not replace crawlable pages or reliable evidence.

SEARCH STRATEGY / WORLDWIDE

Generative Engine Optimization (GEO) Agency

Generative engine optimization helps AI-search systems discover, understand and cite your brand’s expertise. RankX combines technical accessibility, answer-focused content, consistent company facts and editorial authority with repeatable prompt tracking. We distinguish brand mentions, citations and referral visits instead of treating every appearance as a sale.

Book a strategy call Review scope

Assessment first. Scope and responsibilities agreed before work begins.

From assessment to measurable work.

01
Research
Market and buyer questions
02
Prepare
Accessible, accurate pages
03
Build authority
Relevant editorial evidence
04
Measure
Observed search outcomes

When buyers research without opening your website

A buyer asking an assistant to shortlist suppliers may encounter your competitors before visiting any service page. The answer can draw on your own website, third-party coverage, directories and other retrievable material. A brand that is difficult to identify or compare may be absent even when its conventional search performance is respectable.

GEO begins with the buying questions your business can credibly answer. Broad prompts such as “best agency” are not a complete strategy. Industry, market, budget, product suitability and delivery requirements change the shortlist. We build the observation set around those distinctions and define what a useful appearance would mean.

The commercial goal remains qualified demand. An assistant may name a brand without linking to it; a citation may support a factual statement without recommending a purchase. Those observations are valuable but different. Reporting should describe the evidence precisely rather than present a single blended visibility score as revenue.

How we establish an AI-search baseline

We agree prompts, engines, language and market before collecting observations. Each run records the date, exact prompt, response context and cited URLs where visible. We classify whether the brand was named, cited, merely retrieved or absent. Competitor appearances are recorded using the same conditions, not a separately selected favourable prompt.

Responses vary between runs and may depend on personalisation, location and platform behaviour. Repeated observations are therefore more informative than one screenshot. A baseline is a sample of observed answers, not a complete census of what every user sees. We keep those limitations visible when interpreting changes.

Our public pages do not claim an original multi-engine experiment that has not been completed. When campaign observations are available and approved for publication, their prompts, dates and measurement rules belong alongside the findings. Until then, we explain the method without inventing percentages, citations or a dataset.

Make expertise accessible and quotable

We inspect whether important pages are crawlable, indexable and readable in their delivered HTML. A blocked crawler or an empty initial page can limit retrieval. Canonicals, redirects, navigation and sitemaps need to agree on the preferred destination. Allowing a crawler provides access; it does not compel a model to use the page.

Answer-focused content states the service, audience, scope and limitations clearly. Useful comparisons explain the basis for a decision. Research and project claims include sources, dates and relevant context. We use subject-matter input to make the page specific rather than add long generic definitions merely to meet a word count.

Schema describes visible content and consistent entities. It cannot turn an unsupported assertion into evidence. We reference the single RankX organisation record, identify genuine editorial ownership and avoid self-awarded rating markup. A crawler-facing llms.txt summary is maintained as a navigation aid, not described as a ranking mechanism.

Build an evidence layer beyond your own pages

An agency website alone cannot establish independent endorsement. We assess relevant editorial coverage, industry resources and accurate business profiles. Digital PR should earn attention through useful evidence or expertise. Artificial reviews, fabricated awards and purchased mentions presented as independent recommendations weaken the information buyers are evaluating.

Company facts need to agree wherever they appear. The business name, headquarters, website and service descriptions should identify the same organisation. Similar brand names can create ambiguity. We correct inconsistencies on properties you control and identify external listings your team needs to update.

Client work is presented with its actual attribution. An anonymised case can explain a result without implying a named endorsement or a publicly downloadable dataset. Where publication permissions or source records are missing, we ask for them. The response is not to create plausible-looking testimonials or AI-search success claims.

SEO and GEO: shared foundations, different observations

SEO helps relevant pages compete in conventional search. GEO assesses how a brand and its evidence appear in generated answers. Technical access, clear page purpose and credible references support both, but the measurements are not interchangeable. A Google position does not establish a ChatGPT citation.

For conventional search, we review query impressions, clicks, positions and relevant conversion events. For AI search, we review mentions, citations, referenced sources and observable referral visits. The same page may support both journeys, but reports should keep them separate so marketing teams can make defensible decisions.

International programmes need additional context. A response in one language may not represent another market. We scope local terminology, product availability and genuine regional information before multiplying prompts. The objective is a maintainable evidence system, not hundreds of thin pages written for imaginary assistant queries.

Reporting, scope and what we will not promise

A proposal defines the engines and prompts in scope, technical work, editorial responsibilities, outreach and observation cadence. It also states how results will be read back to your team. Platform subscriptions, implementation and research are not assumed to be unlimited. Fees are quoted after assessment of the actual website and market.

We cannot guarantee citations, recommendations or a fixed share of AI answers. Models and search systems control retrieval and response generation. We can define the work, validate releases, document observations and revise priorities. That distinction allows the programme to be accountable without pretending to control the platform.

Start with your website, target audience and the buying questions that matter. A confirmed strategy call establishes business fit and the evidence available. Any free audit is conducted live during that call only when RankX qualifies the business. A separate AI visibility report is scoped explicitly; opening the calendar does not generate one.