Get recommended by AI
Move from absent to cited across the four assistants your buyers actually use.
“Assistants name our competitors and not us.”
Talk through your situationWhat this work means
An AI visibility programme measures how often generative assistants name a business in response to real buyer prompts, then improves that rate through entity accuracy, extractable content, structured data and third-party corroboration. Progress is measured against a baseline recorded before any work begins.
How you know this is your problem.
If three or more of these are true, this is the right place to start.
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A prompt naming your category returns three competitors and not you
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An assistant states something about your business that is out of date or wrong
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You rank on Google but the AI Overview above the results cites someone else
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Nobody in the business can say what an assistant currently says about you
How we approach it
Record the baseline before touching anything
We run 20–40 real buyer prompts through ChatGPT, Gemini, Perplexity and Copilot and save the transcripts. Without that record there is no honest way to claim improvement later.
Fix what the model can see
Entity naming, structured data, crawlability and the machine-readable summary. Assistants cannot repeat information they cannot parse, and inconsistent naming splits your identity across several weak entities instead of one strong one.
Publish answers rather than pages
Each page opens with a direct, complete answer to a question a buyer actually asks, with the supporting evidence beneath it. This is the format retrieval systems lift from.
Build the corroboration
Models weight agreement across independent sources heavily. Reviews, listings, mentions and coverage let an assistant verify a claim somewhere other than your own marketing.
The first ninety days
- Weeks 1–3
Prompt set built and baseline recorded
- Weeks 4–6
Technical and entity remediation shipped
- Weeks 7–9
First eight answer-first pages published
- Weeks 10–12
Corroboration programme running, first re-measure against baseline
Who this is wrong for
Businesses that need results inside 90 days. Citation change is the slowest thing we do, because it depends on corroboration accumulating outside your control.
What this involves
Frequently asked questions
Against a recorded baseline. We run your real buyer prompts through four assistants before any work, save the transcripts, and re-measure monthly against that same set.
Find out what AI says about you right now.
We run your real buyer prompts through four assistants and send you the transcript, with your position and your competitors’. No charge, no call required to receive it.
Typical turnaround: 3 working days.