// services / geo · GEO
GEO — winning the retrieval layer.
Generative Engine Optimization is the technical practice of structuring your content, entities and authority so generative engines retrieve and cite you accurately. It's where SEO is going.
WHAT IT IS
A deep-technical retrieval discipline: schema, entity graph, content templating and internal linking — built specifically for how generative engines retrieve and synthesise sources.
WHO IT'S FOR
Content businesses and B2B SaaS losing share to zero-click AI answers; teams whose existing SEO is solid but whose content isn't getting picked up by AI Overviews or Perplexity.
OUTCOME
Measurable lift in citation share across LLMs + AI Overview presence on the queries that drive your category.
// what's included
Deliverables,
itemised.
// process · how this engagement runs
Five steps. No theatre.
Retrieval audit
I check how your content is being chunked, what schema is present, and how your entity graph appears to retrieval systems. This is where most sites fail silently.
Entity + schema plan
A structured map of your brand entities, product entities, and the schema types each piece of content needs.
Implement
JSON-LD across your stack, internal-linking restructure, content template updates. Validated before deploy.
Authority + mentions
A plan for third-party mentions and citations that GenAI systems weight heavily.
Track
Monthly tracker covering AI Overview presence, Perplexity citations, and retrieval coverage for your priority queries.
// pricing
GEO is implementation-heavy. Projects typically run 3–6 months before transitioning to lighter ongoing maintenance.
Get a quote for your scope →// what makes the price honest
- 01 No agency margin layered on top of the work
- 02 No juniors fronted as senior practitioners
- 03 No retainer designed to outlast the problem
- 04 Fixed scope where possible; transparent T&M where not
// proof · speaking + practice
// faq · frequently asked
The questions buyers actually ask.
01 Is GEO different from AEO?
Is GEO different from AEO?
They overlap but are not identical. AEO is about being the answer LLMs surface. GEO is the deeper technical layer that makes retrieval possible — schema, entity graph, content structure, internal linking. AEO sits on top of GEO; you can't do AEO well without GEO discipline.
02 What does GEO replace in traditional SEO?
What does GEO replace in traditional SEO?
Nothing — it extends it. Classical on-page SEO, technical SEO, and link building still apply. GEO adds retrieval-layer concerns: how chunks of your content are indexed by generative engines, how your entity graph is built, and how AI systems decide your content is authoritative on a topic.
03 Do I need to start over?
Do I need to start over?
No. GEO usually means improving what you already have: tightening structure, adding the right schema, restructuring internal links, and writing content with retrieval in mind. The destructive rewrite is almost never the answer.
04 How do you measure GEO success?
How do you measure GEO success?
Three signals: AI Overview presence (Google), citation share inside Perplexity / ChatGPT / Gemini / Claude, and retrieval coverage (how often your content is the source for AI answers in your category). All tracked monthly against a fixed query set.
05 Will Google AI Overviews matter most?
Will Google AI Overviews matter most?
Yes for B2C and high-volume B2B queries — Google still owns 90%+ of search volume. But Perplexity and ChatGPT increasingly own the high-intent research queries where individual citations matter more than ranking. Good GEO covers all surfaces.
06 Who is GEO for?
Who is GEO for?
Content-led businesses (media, SaaS, knowledge products) and any brand whose buyers ask category-defining questions before they buy. If your category is being summarised inside AI answers, GEO is mandatory.
// ready?