AI Systems Cannot Reliably Access the Source
GPTBot, PerplexityBot or Google-Extended blocked in robots.txt, or key content rendering client-side only. No amount of content work fixes a page a model cannot fetch and parse.
Build visibility inside ChatGPT, Google AI Overviews, Gemini, Perplexity and Copilot with a GEO strategy focused on entity clarity, answer-ready content, authority signals and measurable citation share.
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AI visibility usually breaks because engines cannot confidently retrieve, interpret or validate what a brand represents. GEO fixes those gaps systematically instead of chasing isolated prompts.
GPTBot, PerplexityBot or Google-Extended blocked in robots.txt, or key content rendering client-side only. No amount of content work fixes a page a model cannot fetch and parse.
Models retrieve passages, not pages. Content that only makes sense read top to bottom gives them nothing clean to lift, so they quote a competitor who answered in the first paragraph.
Models weigh third-party consensus heavily — roundups, reviews, comparison sites, forums. If the sources a model already trusts have never mentioned you, your own site rarely carries the answer alone.
Traditional SEO helps search engines discover and rank pages. GEO goes further by shaping how generative systems interpret entities, connect claims to evidence, extract useful passages and decide which sources deserve to be referenced in an answer. The goal is accurate representation and stronger citation visibility across AI-driven research journeys.
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We start by measuring how your brand appears across a defined set of buyer prompts, then improve the technical, content, entity and authority signals that influence AI interpretation and citation.
The starting point: which of your queries now trigger AI answers, whether you are cited or skipped, who is being cited instead, and what it would take to change that. You get the findings and the roadmap whether or not you continue with us.
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Share your domain and the questions your buyers actually ask. We’ll benchmark your visibility across major AI platforms, identify competing sources, and map the highest-impact GEO opportunities.
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Each platform retrieves, ranks and cites differently — and blocking one crawler can remove you from an entire ecosystem. These are the surfaces we baseline, optimise for and track every month.
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These are the workstreams a GEO programme draws on, whatever the platform mix ends up being. The list exists so scope conversations start from something concrete rather than a vague monthly retainer.
GEO is not a checklist of tricks — it follows from how retrieval-augmented systems actually assemble an answer. The list below is what that understanding translates into in practice.
AI answers are assembled from retrieved passages, not recalled from memory. Understanding what gets retrieved, chunked and cited is the difference between GEO as a discipline and GEO as a guess.
Models retrieve passages, not pages. Content written so each section stands alone — with its own context, definitions and specifics — gets cited far more often than content that only makes sense read top to bottom.
Authority is inferred from how consistently your brand appears alongside a topic across the web. We build that co-occurrence deliberately rather than hoping it accumulates.
A defined set of prompts your buyers would realistically type, run across platforms on a schedule. It turns "are we visible in AI" from an argument into a measurement with a trend line.
GPTBot, PerplexityBot, ClaudeBot, Google-Extended and Bingbot each behave differently. Access decisions are strategic — blocking a crawler removes you from that platform entirely, permanently.
Schema is no longer just about rich results. It is the most reliable way to state facts about your business in a form a model can parse without ambiguity or inference.
Named authors with verifiable credentials, cited sources and original data are what separate content a model quotes from content it skips. Anonymous content is increasingly invisible.
When answers replace clicks, sessions understate your influence. We model impression-level visibility and assisted conversions so the value of being cited is not invisible in reporting.
AI agents that browse, compare and transact on a user’s behalf are arriving. Clean structure, machine-readable pricing and unambiguous product data are what make a site usable by them.
Want to See Your Citation Share Before You Commit?
We'll build a prompt set from your real buyer questions, run it across every major AI platform, and show you the baseline — who gets cited, who gets skipped, and what would have to change.
Discuss Your AI RequirementsGEO has no certification body and plenty of noise. The standards below are the published, verifiable ones our work is held against — and the shortcuts we do not take.
Six connected stages. Select any stage to see what it produces.
Stage 01 of 07
We build a prompt set your buyers would realistically use, run it across every major platform, and record where you appear, where you are skipped and who is cited instead. Without this number, nothing that follows is measurable.
The tooling here is young and changing fast. We use what measures reliably today and re-evaluate every quarter rather than committing to one vendor’s worldview.
GEO is roughly two years old, which means the field is full of confident claims and thin evidence. The difference shows up in whether an agency measures citation share against a baseline, whether it separates what is evidenced from what is inference, and whether it will tell you when a tactic is unproven.
Every engagement starts with a prompt set and a baseline citation share. If we cannot show you the number moving, we have not done the job — regardless of how good the deck looks.
A model cannot cite a page it cannot crawl, parse or trust. Anyone selling GEO as separate from technical SEO and authority building is selling you the finishing layer without the foundation.
Blocking an AI crawler removes you from that platform completely. It is a real choice with real trade-offs on content licensing, and we walk you through it rather than defaulting either way.
GEO is roughly two years old. Some of it is well evidenced, some is informed inference. We tell you which is which, rather than presenting every tactic as settled science.
Citation share matters because it drives qualified traffic and enquiries. Reporting connects AI visibility to GA4 and your CRM, so it holds up in a budget conversation.
Search Console, GA4, tracking tools, prompt sets, content and data are yours from day one. If the engagement ends, you keep the measurement framework too.
The questions marketing leaders actually ask on the first call — what GEO is, whether it replaces SEO, whether to block AI crawlers, and how any of it gets measured.
GEO is the practice of optimising your website, content and wider web presence so that AI-powered search tools — Google AI Overviews and AI Mode, ChatGPT, Gemini, Perplexity and Copilot — can find, understand, trust and cite your business when answering a user question. It overlaps heavily with traditional SEO but optimises for being referenced in an answer rather than ranked in a list.
SEO optimises for ranking in a list of results. AEO — answer engine optimisation — targets direct-answer formats like featured snippets. GEO, generative engine optimisation, targets being synthesised and cited inside an AI-generated response. They share the same foundations: crawlability, clear structure, genuine expertise and third-party authority.
No — it depends on it. Models retrieve from indexed, crawlable content and weigh signals that classic SEO already builds: technical health, topical authority and reputable third-party mentions. GEO is a layer on top of SEO, and any agency selling it as a standalone replacement is overselling.
For informational queries, click-through rates have come under real pressure across the industry. Commercial and transactional queries have held up far better. The practical response is to measure your own exposure query by query rather than react to headline statistics, then shift content investment toward intents that still generate clicks while optimising for citation on the rest.
With a defined prompt set — the questions your buyers would realistically ask — run across each platform on a regular schedule. We record whether you are cited, which competitors are cited instead, and how that changes month over month, alongside AI referral traffic segmented in GA4.
It is a genuine strategic decision. Blocking GPTBot or Google-Extended protects your content from being used in training, but it also removes you from that platform’s answers — often permanently. For most businesses that trade on being found, allowing access is the right call. For publishers with licensing revenue, it may not be. We walk you through the trade-off rather than defaulting.
It is a proposed standard: a plain-text file that gives AI systems a curated, structured summary of your most important content. Adoption is still emerging and it is not yet a confirmed ranking factor anywhere. It is cheap to implement and unlikely to hurt, which is roughly how we present it — worth doing, not worth overselling.
Technical and schema fixes can produce citation changes within four to eight weeks, because crawlers revisit and re-evaluate relatively quickly. Entity and authority building takes three to six months. Anyone promising immediate AI Overview inclusion is guessing — the systems are not that predictable yet.
No. Nobody can. AI answers are generated per query and vary by user, region and session. What we commit to is measurable improvement in citation share against a baseline, and honest reporting when a platform change undoes progress — which does happen.
It depends on where your buyers are. B2B enquiries increasingly come via ChatGPT and Copilot; consumer research skews toward Google AI Overviews and Gemini; Perplexity punches above its size in technical and research-heavy categories. We baseline all of them and focus effort where your category actually shows up.
Volume without expertise hurts. Recent algorithm updates specifically target unhelpful mass-produced content, and models increasingly favour sources with verifiable authorship and original information. We use AI for research, clustering and first drafts, with subject-matter review before anything publishes.
Usually one of four things: an AI crawler is blocked, your content renders client-side and cannot be parsed, the answer is buried too deep in the page to extract cleanly, or your entity is not clearly established. The audit identifies which one applies before any work starts.
Often more than for large brands, because AI answers for local and niche queries have fewer credible sources competing. Accurate listings, genuine reviews and clear service information can put a small business into answers where bigger competitors have not bothered.
Yes, and for GEO it is usually the right first step. A paid audit gives you the visibility baseline, the diagnosis and a prioritised roadmap you own outright. If you run it in-house from there, that is a legitimate outcome.
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