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UK · 2026 first-mover · Limited spots

Generative Engine Optimisation for UK businesses — get cited by ChatGPT and Gemini

Generative Engine Optimisation (GEO) is the new SEO. The buyers you want are no longer Googling first — they're asking ChatGPT, Claude, Gemini and Perplexity. The brands cited there will own the next decade. We help you become one of them.

Source: Aggarwal et al. 2023, "GEO: Generative Engine Optimization".

Live query · UK

"Best AI automation agency in Chester?"

ChatGPT
cited Hand On Web ✓
Claude
cited Hand On Web ✓
Gemini
not cited
Perplexity
cited Hand On Web ✓
Visibility score75 / 100

SEO vs AEO vs GEO — what changed?

The three terms get used interchangeably and that confuses everyone. They're separate disciplines that share roots. Here's the plain-English breakdown:

SEOAEOGEO
GoalRank in Google SERPBe featured in answer box / AI OverviewBe cited by LLMs
Where it showsgoogle.com — blue linksAI Overviews, voice assistantsChatGPT, Claude, Gemini, Perplexity
Primary signalBacklinks + content depthStructured snippets + Q&A schemaBrand entity strength + citations
ToolsAhrefs, Semrush, SistrixSchema generators, FAQ toolsEmerging — limited
Time to result6-12 months3-6 months1-3 months (early-mover)
Competition (UK 2026)HighMediumLow — first-mover window

In practice, you do all three. SEO is the spine, AEO covers the answer box, GEO covers AI search. We bundle them in the retainer.

The shift in numbers

A few data points from credible sources to set the scale of the change:

200M+

weekly active ChatGPT users (late 2024)

OpenAI

25%

forecast drop in traditional search by 2026

Gartner 2024

40%

lift in citation rates from GEO techniques

arXiv:2311.09735

47%

of B2B buyers now use AI before vendor outreach

Forrester 2024

The 7 GEO ranking factors we work on

Based on the Princeton/MSR research plus 18 months of in-house experiments. Some of these overlap with traditional SEO; others are entirely new.

1. Brand entity strength

Is your brand a recognised entity in Wikidata, Wikipedia, Crunchbase, LinkedIn? LLMs lean heavily on these knowledge graphs.

2. Citation-friendly structure

Clear factual claims, with sources, in extractable formats (lists, tables, FAQ schema). LLMs strip these out cleanly.

3. Topical authority

A clear, deep cluster of content on one topic beats a scattered shotgun blast across many. We help build the cluster.

4. Schema markup completeness

Article, FAQ, Service, LocalBusiness, Review schemas all feed LLMs structured data they can re-use.

5. Third-party authority mentions

Press, podcasts, .gov.uk and .ac.uk citations carry disproportionate weight in AI ranking.

6. Freshness signals

LLMs with retrieval prefer recently updated, recently dated content. We keep your top pages refreshed monthly.

7. Query-intent matching

AI ranks pages that match the conversational shape of the query — questions, comparisons, "best", "vs". We rewrite for this.

How an LLM decides who to cite

Two paths, often combined:

Path 1 — Pre-training memory

Content the model saw at training time. Rewards established brand presence, Wikipedia, high-DA press, .gov.uk, .ac.uk. Slow to influence — depends on retraining cycles.

Path 2 — Retrieval at query time (RAG)

The model searches the live web for the query, picks the best matching pages, summarises. Rewards schema, freshness, clear factual structure. Fast to influence — works as soon as you publish.

We push on both. Quick wins come from RAG. The long-term moat comes from pre-training presence — which means PR, citations, and brand-entity strength.

What we don't do

  • Promise specific ChatGPT placements — no agency can guarantee LLM behaviour
  • Mass-spam content to manipulate retrieval — modern detectors flag it and brands get suppressed
  • Buy fake Wikipedia mentions — they get reverted within hours
  • Sell GEO as a magic standalone fix — it works as part of a wider SEO programme

The honest questions

If you're sceptical, you should be. Here are the ones we hear most.

What's the difference between SEO, AEO, and GEO?+
SEO is optimising for traditional search engine results pages — getting your blue link to rank in Google. AEO (Answer Engine Optimisation) is optimising for the answer box, AI Overviews, and voice assistants — getting your structured Q&A featured directly. GEO (Generative Engine Optimisation) is optimising for large language models — getting ChatGPT, Claude, Gemini, and Perplexity to cite your brand when users ask "who does X?". They overlap but the techniques differ.
Is this real or just a buzzword?+
It's real. Princeton, Allen Institute and Microsoft Research published a peer-reviewed paper in 2023 ("GEO: Generative Engine Optimization") showing that specific content techniques can lift LLM citation rates by up to 40%. The paper is open on arXiv (arXiv:2311.09735). What's new is the marketing branding around it; the underlying techniques have been studied for two years.
Do people actually use AI to search now?+
Increasingly yes. Gartner forecasts that traditional Google search volume will fall 25% by 2026 as AI assistants take share. ChatGPT publicly reported over 200M weekly users in late 2024 and has been integrating live web search. Perplexity passed 100M monthly queries. The shift is real, but for now AI search is most mature in B2B software, professional services, and high-consideration consumer purchases — not in low-intent, high-volume product searches.
How does an LLM decide who to cite?+
Two paths. (1) Pre-training data — content that appeared frequently and authoritatively in the model's training corpus. This rewards established brands, Wikipedia presence, and high-DA editorial mentions. (2) Retrieval-augmented generation (RAG) at query time — the model searches the live web, picks the strongest matching pages, and synthesises an answer. RAG rewards proper schema markup, clear factual structure, and recent authority signals. We work on both.
What does GEO work look like in practice?+
For each client we run a baseline visibility audit (which AI models cite you for which queries today), build a brand-entity map (Wikidata, schema linking, knowledge-graph signals), structure content for citation extraction (clear claims with sources, comparison tables, FAQ schema), optimise for AI Overviews (Google's AI box pulls heavily from structured snippets), and pursue authoritative third-party mentions (the press, .gov.uk and .ac.uk citations are gold).
How long until it works?+
Faster than traditional SEO. Because the field is so new, competitors haven't done the work yet. Most clients see citation rates rise within 4-6 weeks. AI Overview placements come within 2-3 weeks if the structured data is right. Full LLM-citation lift takes longer because models retrain on quarterly cycles.
What does it cost?+
GEO usually pairs with a traditional SEO retainer rather than standing alone. We add it as a £350/mo layer on top of an existing SEO package. Standalone GEO retainers start at £750/mo. This is significantly cheaper than equivalent traditional SEO because the competition is thinner — for now.
Will GEO replace traditional SEO?+
No, it complements it. Even at Gartner's most aggressive forecast, traditional Google search will still be the largest single channel for years. What changes is the mix — you can't ignore AI search, and the businesses that get there first will own the citations for the long tail. We treat GEO as a hedge: do it now while it's cheap, before competitors catch up.
How is this different from what Fly High Media or Quirky Digital offer?+
Fly High Media has been advertising AI Visibility Reports nationally — they're good at the lead-magnet step. Quirky Digital launched ChatGPT-SEO and Gemini-SEO pages in late 2024. We're the only Chester-based team doing this, with a hands-on retainer rather than a one-off audit, and we run our own AI Visibility Checker tool so you can see the baseline yourself before talking to us.
Free consultation

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