Back to Results
The proof · Case study

From zero to visible, in eight weeks

A specialist UK digital marketing agency had zero presence in AI search. Eight weeks later, all 8 major LLMs were citing them.

Last updated:

A specialist UK digital marketing agency had zero presence in AI search. When potential clients asked ChatGPT, Perplexity or Claude for an agency, it didn't appear in the answer. I ran an eight-week on-site sprint - defining the agency's authority pillars and publishing six optimised articles on their own site.

Visibility growth
0% → 30%
On agency discovery prompts, from zero at sprint start.
Weekly citations
2,357
Generated in a single week, across all 8 major LLMs - from just 6 articles.
LLM coverage
8 of 8
Major LLMs referencing the agency, including ChatGPT, Perplexity and Claude.
Time to visibility
8 Weeks
From kick-off to measurable AI visibility.
Weekly mentions
112
Individual AI mentions in a single week - consistent, compounding reference.
Prompt reach
2K+
Monthly searches on the prompts the agency now appears in - real buyer intent.
Inbound leads
2 Global Brands
Two unsolicited inbound enquiries from global consumer brands, plus several smaller leads - all from AI search visibility, before any outreach or paid activity.
"
During the sprint, a global consumer brand found us through Google/Gemini and came in as an inbound enquiry - before any outreach, before any paid activity. Eight weeks earlier, we had zero presence in AI search.
Chief Marketing Officer · UK Digital Marketing Agency

The methodology, applied

This result didn't come from publishing more content in general. It came from the same four-step process behind every engagement I run, applied specifically to this agency:

1. Define the pillars

Before a single article was written, we defined what the agency does, who it's for, and the three or four claims every AI answer needed to reinforce about them.

2. Structure for extraction

The six articles were engineered for how LLMs actually parse and cite a page - direct answers, clear structure - not for how a search engine ranks one.

3. Publish at volume

All six articles reinforced the same commercial positioning across the same defined prompts, published on a consistent cadence over the eight weeks, so the signal compounded instead of resetting with each piece.

4. Track & redirect

Citation tracking ran weekly across all eight major LLMs throughout the sprint, feeding straight back into what got published next.

The full breakdown of this methodology, independent of this specific result, is on the Authority Framework page. The engagement itself was run as an AEO Sprint - this is what that process actually produced.

Further reading

For the mechanics behind why this works - how AI models actually decide what to cite - see How marketing agencies get found in ChatGPT and Perplexity. For what a realistic timeline looks like from a different starting point, see how long AEO actually takes.

Start here

Start with a 30-minute discovery call

I'll tell you exactly where you stand in AI search today - no deck, no spin, just the data.