Generative Engine Optimisation

Make your content the source
AI search engines cite.

Generative engine optimisation is the practice of structuring your content, entity signals, and technical infrastructure so that AI-powered search platforms select your site when generating answers. ChatGPT, Perplexity, Google AI Overviews, Gemini, and Copilot don't show ten blue links; they synthesise a single response and cite two to seven sources. GEO is how you become one of those sources rather than the content that gets summarised without attribution, or worse, ignored entirely.

I work across the full GEO methodology: content structuring for LLM extraction, entity authority building, citation architecture, and technical accessibility for AI crawlers. This service pairs with AI search monitoring, which tracks how your visibility in AI-generated responses changes over time, and my deep-dive guide on LLM citations explains the research behind the approach. GEO isn't a rebrand of SEO; it's a specific set of optimisations that traditional search work doesn't cover.

What's Included

What does generative engine
optimisation cover?

✎

Content Structuring for LLM Extraction

AI systems don't read pages the way humans do. They scan for clear, self-contained statements they can extract and reassemble into answers. I restructure your content around strong topic sentences, standalone definitional claims, and answer-first formatting that LLMs can isolate and cite without needing surrounding context to make sense of it.

  • Extractable definitional statements
  • Answer-first paragraph structure
  • Standalone claims that work outside context
  • Unique frameworks and classifications
  • Content rewriting for citability
★

Entity Authority Building

LLMs decide which sources to cite partly based on entity recognition: does the model understand who you are, what you do, and whether you're authoritative on this topic? Entity building strengthens those signals through consistent naming, structured data, topical depth, and cross-web presence that reinforces your authority in your subject area.

  • Organisation and author entity schema
  • Cross-platform entity consistency
  • Topical authority gap analysis
  • Knowledge panel optimisation
  • Brand mention and co-occurrence building
🔗

Citation Architecture

Citation architecture is the internal structure that helps AI systems trace claims back to your pages. It includes how you link between content, how you attribute expertise, and how your site's information hierarchy signals which pages are your most authoritative on a given topic. Strong citation architecture makes your site easier for LLMs to navigate and reference accurately.

  • Internal linking for topical clustering
  • Hub page and spoke content mapping
  • Source attribution and evidence chaining
  • Canonical authority signals per topic
  • Content hierarchy for AI traversal
⚙

Technical AI Crawler Access

If AI crawlers can't reach your content, nothing else matters. GPTBot, ClaudeBot, PerplexityBot, and Google's extended crawlers each have their own user agents and crawl behaviours. I configure your robots.txt, crawl directives, and rendering approach to ensure the right AI systems can access, index, and cite your content.

  • AI crawler robots.txt configuration
  • GPTBot, ClaudeBot, PerplexityBot access
  • Server-side rendering for JS-heavy sites
  • Structured data for semantic understanding
  • Crawl budget allocation for AI bots
📊

GEO Audit & Benchmarking

Before optimising anything, I assess where you stand. The GEO audit examines your content's current citability, entity clarity, technical accessibility, and competitive positioning in AI-generated responses. It identifies exactly which pages have citation potential and which need restructuring, so the work starts where the commercial value is highest.

  • Content citability scoring
  • Entity recognition assessment
  • AI crawler access verification
  • Competitor citation benchmarking
  • Prioritised GEO opportunity roadmap
Why Work With Me

Why does your business
need GEO now?

The Window Is Open

Most businesses haven't started optimising for generative engines. The sites establishing entity authority and citable content structures now will become the default sources AI systems reference once the technology matures further. Displacing an entrenched source in an LLM's training data and retrieval pipeline is significantly harder than being the first credible source on a topic. Early action compounds; late action catches up.

Methodology, Not Guesswork

I've published research on how LLMs select and cite sources and actively track citation patterns across ChatGPT, Perplexity, and Google AI Overviews. The GEO work I do for clients is built on observed patterns of what actually gets cited, tested against real content, and updated as AI search behaviour evolves. This is a defined methodology with documented reasoning behind each recommendation, not a list of best guesses repackaged from conference talks.

GEO Strengthens Traditional SEO

Clear content structure, strong entity signals, topical authority, and unique information are universal quality indicators. Every GEO optimisation I implement also improves your traditional search performance. You're not splitting budget between two competing strategies; you're investing in work that makes both channels stronger. The AI search monitoring service tracks both simultaneously so you can see the compound effect.

How It Works

How does a GEO
engagement work?

01

GEO Audit & Discovery

Assess your current content citability, entity authority, and technical AI crawler access. Benchmark your AI search visibility against competitors and identify which topics have the highest commercial value for citation targeting.

02

Strategy & Prioritisation

Build a prioritised GEO roadmap: which existing pages to restructure for extractability, what new content to create, which entity signals to strengthen, and what technical changes to implement. Every recommendation maps to a specific commercial outcome.

03

Content & Technical Implementation

Restructure high-priority content for LLM extraction. Implement entity schema, configure AI crawler access, and build citation architecture across your site. Each change targets both AI citability and traditional search performance.

04

Monitor, Measure & Refine

Track citation frequency across AI platforms, monitor referral traffic from generative engines, and benchmark against competitors. AI search behaviour shifts regularly; the strategy adapts based on what the data shows, not assumptions about how these systems should work.

Common Questions

Generative engine optimisation
questions answered.

Generative engine optimisation (GEO) is the practice of structuring your content, entity signals, and technical infrastructure so that AI-powered search platforms cite your site when generating answers. Unlike traditional SEO, which focuses on ranking in a list of links, GEO focuses on becoming a source that large language models extract from, reference, and recommend. The two disciplines overlap significantly, but GEO adds specific requirements around content extractability, citation architecture, and technical access for AI crawlers.

GEO is the implementation methodology: how you structure content for LLM extraction, build entity authority, and create citation architecture. SEO for AI search is broader and includes monitoring your visibility in AI-generated responses, tracking referral traffic from AI platforms, and adjusting strategy based on what AI systems are doing with your content. Think of GEO as the optimisation work itself and AI search SEO as the full lifecycle including measurement and ongoing adaptation.

No, and any agency claiming otherwise is oversimplifying. GEO builds on traditional SEO foundations. Domain authority, backlink profiles, topical relevance, and technical health all influence which sources AI systems choose to cite, because most AI search tools pull from the same pool of content that ranks well in traditional search. Strong traditional SEO makes GEO more effective, and GEO techniques like clear content structure and entity clarity improve your traditional rankings. They compound rather than compete.

Content restructuring and technical changes can start influencing AI citations within weeks, because AI search tools re-crawl and re-index content regularly. Entity building and topical authority take longer, typically three to six months to see consistent citation improvements across multiple AI platforms. The timeline depends on your starting position: sites with strong existing SEO authority tend to see GEO results faster because the foundational signals are already in place.

GEO projects are scoped based on your site's size, the number of high-value topics you want to be cited for, and how much existing content needs restructuring versus new content creation. I price transparently based on scope, and I'll never recommend work that doesn't have a clear commercial rationale. For ongoing GEO and AI search monitoring, I work on monthly retainers with no lock-in contracts.

Ready to Start?

Start getting cited by
the AI search engines.

Book a free video audit and I'll show you where your content stands in AI-generated responses, which competitors are already being cited, and where the commercial opportunity sits for your business.

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