The AI SEO agency that gets brands cited, not just ranked
Generative engine optimisation (GEO) is the work of getting your brand quoted inside the AI answers your customers now read: ChatGPT, Gemini, Perplexity, Google’s AI Overviews. We built it into AGL’s search programme. We can build it into yours.
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14.5k
features secured in Google’s AI Overviews for AGL.
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58%
lift in AGL’s average search position in the same programme.
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98%
client retention across the agency.
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40%
increase in AGL’s keywords ranking in Google’s top three.
What you get
The scope, in writing
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An AI visibility audit
Where your brand appears today (and where it’s absent) across ChatGPT, Gemini, Perplexity, Copilot and Google’s AI Overviews, tested against the questions your customers ask, with your competitors’ citations mapped alongside.
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Technical groundwork for AI crawlers
Structured data (schema.org) that tells machines exactly who you are, crawl access for GPTBot, ClaudeBot and PerplexityBot checked and fixed, and an llms.txt file if your stack warrants one. This site runs one; we practise what we ship.
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Citation-ready content
Existing pages restructured so an LLM can lift the answer cleanly: direct answers up top, verifiable facts and figures, named authors, and one unambiguous entity per page. New content built the same way from the start.
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A brand-mention plan
LLMs learn who to trust from the wider web, not just your site. We identify which third-party sources the models lean on for your category and set out how to earn your place in them.
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Your SEO foundation, kept intact
The trust signals that rank you on Google are the same ones LLMs lean on. GEO work that undermines classic SEO is bad GEO; ours is measured against both.
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Monthly measurement in plain English
AI Overview feature counts, citation checks across the major assistants, and Search Console movement, with what changed, why, and what happens next month.
How we do it
5 steps
We run your customers’ real questions through ChatGPT, Gemini, Perplexity and Google’s AI Overviews and record who gets cited — you or your competitors. Alongside that, a classic organic baseline in Search Console and Ahrefs. We don’t write the strategy until we know the starting position.
Schema markup, entity consistency, crawl access for the AI crawlers, llms.txt where it earns its place. Unglamorous, checkable work; you can verify every item yourself.
We rework your highest-value pages so the answer sits where a model can find it: question answered in the first sentences, claims backed by numbers, sources named. Written by people, structured for machines.
We work through the industry publications, directories and data sources the models keep citing in your category, and earn your brand into them. Slow, real work; we don’t buy placements and pass them off as authority.
Citation testing re-run on a fixed question set, AI Overview features tracked, Search Console reviewed. The person walking you through the report is the person doing the work, from the same team that’s embedded in AGL’s digital optimisation team.
Case study
AGL
AGL
AGL could see AI answers starting to replace clicks, and needed to stay visible on both fronts. We embedded our SEO team inside their digital optimisation team and ran GEO and SEO together: technical foundations, content built to be cited, and a deliberate push into AI-driven search. AGL secured 14.5k features in Google’s AI Overviews, alongside a 58% lift in average search position and a 40% increase in top-3 keywords.
Read the AGL case study“They haven’t just consulted for us, they’ve perfectly integrated into our ways of working, feeling like a natural, extended member of the team.”
Adam Hanczuk, Senior Optimisation and SEO Lead, AGL
Questions, answered straight
FAQ
GEO stands for generative engine optimisation: the practice of making your brand and content easy for AI systems to find, understand and cite. Where SEO earns you a ranking and a click, GEO earns you a citation inside the AI-generated answer itself. The two overlap heavily, because the trust signals that rank you are the same ones LLMs draw on. That’s why we run them as one job.
It’s the work of structuring your content and your wider web presence so large language models (the systems behind ChatGPT, Gemini and Google’s AI Overviews) quote your brand when answering questions in your category. In practice that means machine-readable markup, content that answers questions directly with verifiable facts, and brand mentions across the sources the models trust. The goal is a citation, not a click.
There’s no submission form and no shortcut. Models cite brands they encounter repeatedly in sources they trust: your own site, structured clearly enough to be understood; industry publications and directories in your category; and content with checkable facts attached to your name. Test it yourself — ask ChatGPT the questions your customers ask and see who gets named. That gap between the answer and your absence is the work.
No, and anyone selling GEO as a replacement for SEO is selling you the same work twice. LLMs form their answers from the signals SEO has always built: authoritative content, technical soundness, real backlinks and mentions. AGL’s results came from running both together, with 14.5k AI Overview features and a 58% lift in average search position from the same engagement. SEO is the foundation; GEO is what you build on it.
We quote after the AI visibility audit, not before, because the price depends on the gap it reveals: some brands need content restructured, others need the technical layer rebuilt, others mostly need mentions. Most clients run GEO inside an ongoing search retainer rather than as a separate project, since the disciplines share the same foundations. The audit itself is scoped as a fixed piece of work.
Against a fixed set of your customers’ real questions, re-tested monthly across ChatGPT, Gemini, Perplexity and Google’s AI Overviews: is your brand cited, how prominently, and against which competitors. Alongside that, AI Overview feature counts and Search Console data show the traditional side of the same programme. You see the question set, so you can run the checks yourself between reports.