Generative Engine Optimisation (GEO)
Visibility inside the answer.
Retrieved. Cited. Recommended.
The shortlist is being built in conversations you can't see
SaaS buying no longer starts with a search. It starts with a conversation.
Buyers describe their problem to ChatGPT, Claude, Perplexity or Gemini. They ask for options, compare features and pricing, interrogate weaknesses and request alternatives. They repeat the process in Google's AI Overviews and AI Mode, cross-check on review platforms and in communities, and arrive at a shortlist. Almost none of this registers in your analytics. Forrester's 2026 buyer research found that 94% of business buyers now use AI somewhere in the buying process, and the majority of searches end without a click to any website.
This is the dark funnel: the research, comparison and shortlisting work that happens before your website enters the journey. By the time a buyer lands on your site, the decision is often largely formed. Generative Engine Optimisation (GEO) is the discipline of earning a place in those answers. Three shifts define how it works.
A machine layer now sits between you and your buyer
AI systems don't return ten links. They retrieve passages from sources they trust, evaluate them and assemble one answer. For every question a buyer asks, your brand is either cited, mentioned, paraphrased or omitted. GEO is the work of moving up that scale: making your content the clearest, most verifiable material the machine can find.
One question fans out into dozens
Behind a single prompt like "best onboarding software for mid-market SaaS", the system silently runs many sub-queries: comparisons, integrations, use cases, pricing, alternatives. Each retrieves the most relevant passage available, and relevance is scored mathematically. You're competing at passage level across an entire decision journey, not page level for one keyword.
Models reason about your brand as an entity
What an AI says about you depends on what the whole web says about you: your site, review platforms, communities, industry coverage and structured data. If that story is consistent, the machine represents you clearly. If it's fragmented, you're represented ambiguously, or left out of the answer entirely.
GEO is engineering, not a content hack
There is no tag to add or trick to apply. GEO is a system of connected work that makes your brand retrievable, verifiable and safe for machines to recommend. Here is what it involves, in plain terms.
Retrieval-ready content
Content structured in clear, self-contained sections that each answer one question well. AI systems lift passages, not pages, so every section has to stand on its own and say something specific.
Entity and brand clarity
Consistent naming, positioning and structured data so models understand who you are, what you do and who you serve without guesswork, everywhere they encounter you.
Machine-verifiable authority
Named authors with real credentials, cited sources, original data and clear timestamps. AI systems favour claims they can quote, attribute and verify over confident assertion.
Third-party corroboration
Presence on review platforms, in communities and in industry coverage. AI answers lean heavily on independent sources, and your own site can't carry the story alone.
Machine access
AI crawlers permitted and served fast, content that renders without JavaScript dependence, and clean technical foundations. If machines can't reach your content, it can't be retrieved.
Measurement
Tracking whether you're cited, mentioned, paraphrased or omitted across the prompts your buyers actually ask, on every platform that matters, and how that share of answer moves over time.
SEO gets you into the answer. Your website confirms it.
Foundation SEO is the entry ticket
ChatGPT, Claude, Perplexity, Gemini, Google's AI Overviews and AI Mode retrieve from the same indexed web that Google crawls. Content that can't be crawled, indexed and ranked can't enter the retrieval pool, and the signals overlap: authority, EEAT and technical health serve both systems at once.
GEO built on weak SEO is a house on sand. Explore SEO
Your website is the validation layer
Buyers now arrive later and better informed, checking whether reality matches what the AI told them. Discovery has moved upstream; your site's job is validation: clear positioning, transparent pricing, credible proof and a frictionless next step.
If the AI's description and your website tell different stories, the buyer trusts neither. Consistency between the two is now a conversion factor.
Win the answer, then confirm it. That is the whole game.
We came to GEO the right way: through fifteen years of SEO
GEO is not a rebrand we adopted when AI search arrived. It's the continuation of work we were already doing. The shift from keywords to semantic, entity-based search was the precursor to the retrieval systems that power AI answers today, and we built for that shift early rather than reacting to it.
Our approach works from how these systems actually operate: retrieval, passages, entities and corroboration. We study the mechanics, test them against real SaaS markets and translate what works into plain language and a plan your team can act on. No mystique, no acronym theatre. Just the mechanics of being found, trusted and recommended where SaaS buyers now make decisions.
Pillar 03 of the SaaS Growth Framework
GEO lives in AI Search Optimisation, Pillar 03 of the framework. It depends on Technical SEO & Foundations for retrieval access, draws its raw material from the Content System, is amplified by EEAT & Trust Signals and Multi-Platform Optimisation, and is held accountable by Measurement.
Highlighted pillars show where GEO connects most directly across the framework.
Start with an AI Visibility Audit
See where your brand appears across ChatGPT, Claude, Perplexity, Gemini, Google's AI Overviews and AI Mode: how you're described, which competitors are cited instead, where the gaps are and what to fix first. A clear baseline and a prioritised plan.
Speak to our team
AI Visibility
This SaaS company was almost invisible on AI search platforms. They knew they were missing out on business so we created six new pages, structured for AI retrievability but designed to be compelling for human users. New business could be mapped directly through ChatGPT prompts and citations.
Results
- Six new AI-focused pages that offered a good experience for human users (prospects)
- Within 3 months – 3 Sales Qualified Leads
- Leads are a perfect match for ICPs
- Potential customer value $150K+