Make your business easier to discover, verify and cite when people search through ChatGPT, Perplexity, Google AI Overviews and other answer systems.
Generative engine optimisation, or GEO, applies technical SEO, entity clarity, source development and answer-focused content to AI search. The goal is to give retrieval systems clear facts, credible evidence and useful passages that answer real questions about your market.
AI search systems cannot cite a business confidently when its website is blocked, its service information conflicts across sources, or its claims lack evidence. GEO begins by finding those gaps.
Google's current guidance says normal SEO practices remain relevant to AI Overviews and AI Mode, with no extra requirement for inclusion. OpenAI's crawler documentation says OAI-SearchBot is used to surface websites in ChatGPT search. A site that blocks it will not appear in ChatGPT search answers, though it may still appear as a navigational link.
Neither platform promises placement. Our work focuses on eligibility, clarity and measurable visibility rather than citation guarantees.
Diagnostic scope
Crawl access for Google and OAI-SearchBot
Current appearances, citations and source patterns across selected prompts
Business entities, services, locations, proof and third-party references
Content gaps between the questions people ask and the evidence the business can publish
02 / Service scope
What the GEO service covers
01 / Baseline
AI visibility and citation baseline
We test a defined prompt set across the answer systems relevant to the business. The baseline records whether the brand appears, which pages receive citations, which competitors surface and what source types support the answer.
02 / Questions
Query fan-out and information gaps
A short prompt often hides several questions. We map those questions, the terms a buyer learns next and the evidence needed to answer each one. That map decides whether the answer belongs on an existing page, a new commercial page, a research asset or nowhere on the site.
03 / Evidence
Entity and evidence architecture
We connect the business name, services, people, locations, projects and supporting sources through consistent copy, internal links and suitable structured data. Claims enter the content only when the business can support them.
04 / Answers
Answer asset engineering
We write direct passages that make sense when extracted from the surrounding page. Each passage answers one defined question, states the relevant condition and links the reader to the next useful page or action.
03 / Deliverable
What the GEO diagnostic produces
The GEO diagnostic produces a dated working record, not a visibility score without context. It gives the business a baseline and a prioritised decision list before implementation begins.
Crawler and index eligibility issues for the platforms in scope
The tracked prompt set, brand appearances, cited URLs and recurring source patterns
Evidence gaps across business claims, services, locations, projects and external references
A prioritised action plan separating technical fixes, existing-page revisions, new assets and source-development needs
04 / Process
How a GEO engagement works
01 / Establish
Establish the baseline
We test the agreed prompts and inspect the sources currently used by ChatGPT, Perplexity and Google AI search. We also check crawler access, indexation, rendering and structured data.
02 / Map
Map the evidence
Business records, project material, expert input, customer language and authoritative references become a claim ledger. Unsupported claims stay out of the page.
03 / Build
Build and revise the assets
We improve the pages that already fit the query before proposing new ones. Work may include service pages, comparison pages, research articles, case studies, schema and internal links.
04 / Measure
Measure the change
The same prompt set is checked after publication. Reporting separates brand mentions, cited URLs, source frequency, referral traffic and qualified actions on the site.
05 / Measurement
GEO measurement without invented certainty
OpenAI documentsutm_source=chatgpt.com in ChatGPT referral links, which allows analytics platforms to identify referred sessions. Google documents a Generative AI performance report in Search Console for visibility through its generative search features. A controlled prompt set can separately record appearances, citations and source changes across answer systems.
The report can include
Brand appearance across the tracked prompt set
Citation count and the URLs selected as sources
ChatGPT referral sessions and their on-site actions
Google generative search performance reported in Search Console
Changes in the competitor and source set around each query
A model response can change between checks. We report the observed result, date, location and prompt instead of presenting one test as a permanent position. For a wider measurement system, see SEO analytics and lead attribution.
06 / Fit
Who this service fits
Built for evidence-rich businesses
GEO fits businesses that already have real expertise, services or product knowledge but lack a clear digital evidence layer. It is particularly useful when buyers compare providers, ask for recommendations, research a technical purchase or need location-specific answers before making contact.
GEO does not replace technical SEO or content strategy. It applies those disciplines to the way generative search retrieves and presents sources.
No guaranteed citations
No agency controls whether an answer system cites a page. We can make the business easier to crawl, interpret and verify, then measure whether visibility changes.
We will not sell an llms.txt file, bulk AI copy or fabricated mentions as a shortcut.
Start with your current AI visibility
Find where the evidence breaks down.
Send us your domain, the markets you serve and the prompts buyers are likely to ask. The diagnostic will show where the business appears, which sources shape the answers and what deserves to be built first.
GEO is a specialised layer of SEO focused on visibility inside generative answers. Crawlability, useful content, authority and clear business information still matter. The additional work lies in prompt testing, source analysis, entity consistency and passage-level measurement.
Do we need special AI schema or an llms.txt file?
Google says there is no special schema or AI text file required for its generative search features. Standard structured data can still help search systems understand eligible page facts and rich-result features. Other services may publish their own crawler controls, so each platform should be checked against its current documentation.
How soon can GEO results be measured?
A baseline can be recorded before any page changes. Post-publication measurement has no fixed timeline because crawling, indexing, source selection and model responses change at different rates. We agree on a recheck cadence, record each observation with its date and prompt, and avoid turning one response into a permanent result claim.