AI SEO: Generative Engine Optimisation
Get represented accurately in AI answers with Generative Engine Optimisation
Generative Engine Optimisation, or GEO, is the practice of improving how a business appears inside the conversational answers produced by tools like ChatGPT, Gemini, Claude and Perplexity.
Affirmed Digital builds GEO strategies for UK businesses that want to be represented accurately, and mentioned at all, when their prospects ask these tools questions relevant to their market.
Generative AI tools work differently to a search engine: they synthesise an answer from patterns learned across training data and, increasingly, real-time retrieval, rather than presenting a ranked list of links. That means visibility depends on entity clarity, third-party corroboration and content structured to be genuinely citable, not on traditional ranking signals alone.
Senior expertise. Clear priorities. Practical implementation.
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Understanding Generative Engine Optimisation
What is Generative Engine Optimisation (GEO)?
Generative Engine Optimisation (GEO) is the practice of improving how a business is represented within AI-generated conversational answers from tools like ChatGPT, Gemini, Claude and Perplexity, designed to help businesses remain visible as more research and buying journeys begin inside AI chat interfaces.
When someone asks ChatGPT or Perplexity a question about a market, product or service, the answer that comes back is generated, not retrieved from a ranked list. GEO is how a business earns an accurate, favourable mention inside that generated answer.
Generative Engine Optimisation, or GEO, sits within the wider AI SEO category alongside its sibling discipline, Answer Engine Optimisation (AEO). See our AEO service for the distinction.
Where AEO concerns extractive answer features inside Google itself, GEO concerns fully conversational tools: ChatGPT, Gemini, Claude and Perplexity. These tools draw on training data, and increasingly on live web retrieval, to construct an answer.
That means a business’s visibility depends on how clearly and consistently it’s described across the web, how often credible third parties mention it, and how citable its own content is.
GEO activity, such as publishing a piece of content or cleaning up an entity description, is not the same as a GEO outcome. The outcome is the business being mentioned accurately and favourably when a real prospect asks a relevant question. That distinction is why testing actual AI outputs, not just implementing best-practice tactics, forms a core part of how this service is measured.
Understand
Testing how a business currently appears (or doesn't) across generative AI tools for relevant queries.
Improve
Strengthening entity clarity, citation-worthy content and third-party corroboration.
Measure
Re-testing prompts over time to track mention frequency and accuracy.
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Why generative AI visibility requires a more joined-up approach
A meaningful and growing share of research, from comparing suppliers to understanding a market and shortlisting options, now happens inside conversational AI tools before a user ever opens a search engine.
These tools do not rank pages. They generate an answer, drawing on whichever sources they judge to be relevant, authoritative and consistent.
A business with strong traditional SEO but thin, inconsistent, or contradictory information across the web can be entirely absent from these generated answers, or worse, described inaccurately.
Businesses that haven’t addressed this risk being invisible in exactly the research moment where a growing number of buying decisions now start. GEO treats this as a distinct discipline requiring its own content structuring, entity clarity and monitoring, not a side effect of traditional SEO work.
Discuss your current positionGenerative AI tools reward consistency and citability across the wider web, not just strong performance on a business’s own site.
What’s included
Generative Engine Optimisation services built around your priorities
Generative visibility testing
Systematically testing how a business appears across ChatGPT, Gemini, Claude and Perplexity for realistic prospect queries.
Entity clarity and consistency
Ensuring a business’s core facts (what it does, who it serves, where it operates) are described consistently across the sources AI tools draw on.
Citation-worthy content development
Creating and refining content that generative tools are more likely to draw on and cite when constructing an answer.
Third-party mention strategy
Building the credible third-party presence that generative models rely on for corroboration.
Ongoing prompt monitoring
Regularly re-testing key prompts to track how visibility and accuracy change as models update.
Why it matters
Benefits of a stronger Generative Engine Optimisation strategy
Presence in AI-assisted research
Being mentioned when prospects use ChatGPT, Gemini or Perplexity to research options.
Accurate AI representation
Reducing the risk of a business being described incorrectly or incompletely.
Stronger third-party credibility
A consistent, corroborated presence across the web that supports generative visibility.
Early-mover advantage
Most competitors have not yet addressed generative AI visibility directly.
Content with a clearer purpose
Content built to be genuinely citable tends to be more useful to human readers too.
Ongoing visibility monitoring
Understanding how generative AI representation shifts as models are updated.
Our approach
How we deliver Generative Engine Optimisation
Discover
Test current generative AI visibility across relevant tools and prompts, and audit entity consistency across the web.
- Client receives
- A GEO baseline report.
- Why it matters
- Generative visibility cannot be improved without knowing the current state of representation.
Prioritise
Identify the highest-impact gaps (entity inconsistency, missing citations, weak third-party presence) and build a roadmap.
- Client receives
- A prioritised GEO roadmap.
- Why it matters
- Generative AI visibility spans multiple, sometimes unfamiliar levers that need sequencing.
Implement
Deliver entity corrections, citation-worthy content and third-party mention activity against the roadmap.
- Client receives
- Completed content, corrected entity data and mention-building progress.
- Why it matters
- Generative visibility depends on real changes across the web, not a single on-site fix.
Measure and improve
Re-test prompts regularly and refine the approach as generative models update.
- Client receives
- Ongoing GEO visibility reporting.
- Why it matters
- Generative AI models change on a different cycle to traditional search algorithms.
Why Affirmed Digital
Specialist advice backed by practical implementation
Senior expertise directly involved
GEO is tested and delivered by practitioners who understand how generative models retrieve and synthesise information.
Strategy and implementation connected
Entity fixes and content are delivered, not just recommended.
SEO and AI search considered together
GEO strategy connects to our organic SEO and AEO work for full-spectrum visibility.
Reporting focused on commercial meaning
Visibility measured through real prompt testing, not theoretical best-practice scores.
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Platforms we work with
Connected visibility across the platforms that shape discovery
GEO focuses on conversational AI tools. Affirmed Digital works across the platforms below. Partnership status is not implied unless verified.
- ChatGPT
- Gemini
- Claude
- Perplexity
- Microsoft Copilot
Not sure where the biggest opportunity lies?
Start with a focused conversation about your current visibility, technical constraints and commercial priorities.
In one sentence: Affirmed Digital’s Generative Engine Optimisation services improve how UK businesses are represented in ChatGPT, Gemini, Claude and Perplexity answers through entity clarity, citable content and third-party corroboration, measured by real prompt testing.
Frequently asked questions
Questions about Generative Engine Optimisation
GEO is the practice of improving how a business is represented inside AI-generated conversational answers from tools like ChatGPT, Gemini, Claude and Perplexity. It focuses on entity clarity, citation-worthy content and third-party corroboration rather than traditional ranking signals.
GEO targets fully conversational AI tools such as ChatGPT and Perplexity. AEO targets extractive answer features inside Google itself, like AI Overviews and featured snippets. Many businesses need both, and our AI SEO hub explains how to prioritise between them.
We test realistic prospect queries directly against generative AI tools and track whether, how accurately and how favourably a business is mentioned. This is repeated over time, since generative models are updated periodically and visibility can shift as a result.
Not directly or with certainty, but a business can meaningfully improve the odds and accuracy of being mentioned by ensuring consistent entity information, credible third-party coverage and genuinely citable content exist across the sources these tools draw on.
Scale can help through wider third-party coverage, but consistency and citability matter more than size alone. A smaller business with clear, consistent, well-corroborated information can outperform a larger, less consistently represented competitor in generative answers.
This varies by platform and depends on how and when each model refreshes its training or retrieval data. Some visibility improvements can appear within weeks of stronger third-party coverage; others depend on a model’s next update cycle, which is outside any agency’s control.
No. Third-party mentions and coverage are one of several inputs into generative visibility, and dedicated PR campaigns often support GEO directly. See our digital PR agency service for the deep-dive on earning that coverage.
Visibility into current brand mentions, existing content, and any known inaccuracies in how the business is described online, plus reasonable input on priority audiences and query types. This lets us test the right prompts and prioritise the right fixes.
Research and insights
Explore all insightsExplore the thinking behind the service
Start with a conversation
Build a clearer route to greater generative AI visibility
Discuss your goals, current barriers and the practical steps most likely to move your visibility forward.
- Discuss your current position
- Identify the highest-priority opportunities
- Decide whether we are the right specialist partner