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.