Service · GEO

AI engines are answering your customers' questions. They should be citing you.

Google AI Overviews, ChatGPT, and Perplexity now intercept searches before a customer ever clicks a link. They recommend businesses by name. The businesses they cite have entity signals and content structure that make them easy to quote — the ones they don't are invisible at the top of the funnel, even when they rank classically.

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What it is

GEO is the work that makes you citable, not just rankable.

Classic SEO gets you into the top 10. GEO gets you cited from the top 10. AI engines retrieve pages from the search index and then apply a second filter: is this page structured well enough to quote? Pages with direct answers, clear entity signals, and question-shaped headings pass that filter. Pages without them often don't.

For Google, this means AI Overviews. For ChatGPT, it's live search answers via OAI-SearchBot. For Perplexity, it's the inline citations that accompany every response. For Claude, it's live web search. Each engine has a different retrieval model — but the core signals are the same: extract the answer, ground the entity, trust the source.

What we audit and fix

  • Entity schema implementation. Organization or LocalBusiness schema with a complete sameAs array — Google Business Profile URL, LinkedIn, Wikidata where applicable. This is the single most leverage-efficient GEO action: it tells every AI engine exactly who you are and where you operate, so citations are attributed correctly.
  • FAQPage schema on every informational page. FAQPage is the schema type AI engines are most likely to extract from. We deploy it on every service page and informational pillar, then validate with Google's Rich Results Test. Already recommended for classic SEO — in the AI era, it carries double weight.
  • Content restructured for extractability. We rewrite H2s as full questions ("How long does a brand strategy engagement take?") and restructure each section so the answer comes in the first one to two sentences. Research (Princeton/Georgia Tech, 2024) found that roughly 44% of AI citations come from the first 30% of a page — the so-called "ski ramp" pattern. We front-load every page that's a citation candidate.
  • robots.txt AI crawler audit. We verify that citation crawlers — OAI-SearchBot (ChatGPT search), ClaudeBot, PerplexityBot — are not blocked. A single misplaced wildcard rule can block all AI citations at once. We also document any intentional training-data blocks (e.g., GPTBot) so they don't inadvertently affect search-citation crawlers. These are different agent strings and must be managed separately.
  • dateModified discipline. AI retrieval pipelines filter out stale pages before they get to the citation stage. We implement systematic dateModified updating in both the HTML meta and JSON-LD schema on a structured refresh cadence.
  • AI visibility monitoring via Brand Radar. We set up ongoing monitoring in Ahrefs Brand Radar: monthly AI impression counts, share-of-voice vs. competitors in your category, and cited-page tracking. When a competitor's AI SOV spikes, we diagnose what drove it.

The local GEO advantage

National brands compete on entity strength — domain rating, Wikipedia presence, mass brand mentions. Local service businesses compete on extractability and GBP grounding. A business in Burnaby with DR 5, a complete LocalBusiness schema linked to its Google Business Profile, and neighbourhood FAQ content can outperform a national chain's local branch for queries like "best brand agency in Burnaby."

The reason: AI engines answering local recommendation queries look for a page that explicitly states the service, the city, and a concrete extractable fact — a price range, a timeline, a specific credential. Thin service pages with no specifics don't get cited. Adding one specific sentence to each service area page ("We complete most brand strategy engagements in 8–12 weeks, starting at $4,500, and work with service businesses across Metro Vancouver") materially improves citation likelihood.

How GEO fits with the rest of your SEO

GEO doesn't replace the other five pillars — it amplifies them. Schema markup is the foundation of entity grounding. Content architecture (neighbourhood pages, service pages) creates the citation candidates. Local SEO (GBP grounding, NAP consistency) is the primary local GEO signal for Google. GEO is the layer that makes all of those investments visible to AI engines, not just classic search.

Common questions

GEO, answered.

What is Generative Engine Optimization (GEO)?

GEO is the practice of structuring your website so that AI-powered answer engines — Google AI Overviews, ChatGPT, Perplexity, and others — cite your business when answering questions your customers are asking. It's a layer on top of classic SEO, not a replacement. A page that ranks top 10 and is well-structured for AI citation gets cited; one that ranks but isn't structured for extractability often doesn't.

Does GEO matter for local service businesses?

Yes — and local businesses have a structural advantage. AI engines answering "who is the best brand agency in Burnaby?" or "which accountant serves North Vancouver?" are recommending businesses by name. Those citations are driven by entity schema (telling Google exactly who and where you are), review structure, and neighbourhood-specific content. A local business with DR 5 and solid entity schema can outperform a national competitor for neighbourhood-specific AI queries.

Is GEO the same as SEO?

GEO extends classic SEO rather than replacing it. For Google specifically, AI Overviews retrieve from the classic search index first — so ranking in the top 10 is still the foundation. What GEO adds: question-shaped headings, direct-answer paragraphs (front-loading the answer), entity schema with GBP linking, FAQPage schema, and correct AI crawler access in robots.txt. These signals move a ranking page from "sometimes cited" to "consistently cited."

Does blocking GPTBot stop ChatGPT from citing my site?

No — this is the most common mistake in DIY robots.txt management. GPTBot is OpenAI's model training crawler. OAI-SearchBot is the ChatGPT live-search citation crawler. They are different agents. Blocking GPTBot stops model training use, but has no effect on ChatGPT citing your pages in live search answers. We audit robots.txt on every GEO engagement to catch exactly this class of error.

Free Audit · 48 hr turnaround

Find out if AI engines can even see you.

The audit checks entity schema, FAQPage coverage, AI crawler access, and Brand Radar impressions — and tells you exactly what's blocking AI citation.

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