What results should a company expect from AI search optimization?

Results vary by category and starting position. One insurance engagement is documented in full on our case studies page, including AI Overview citations earned and coverage movement over 14 months.

How do you attribute AI visibility to pipeline?

We connect the locked prompt universe to Search Console and GA4, tag AI-referred sessions where the engines expose them, and report assisted pipeline alongside citation and recommendation movement rather than claiming direct attribution the platforms don't provide.

How long do engagements typically run?

Advisory and Partner run month to month with a recommended 6–12 month horizon; Embedded engagements are limited to two clients at a time because they include production capacity.

Case Studies

Case Studies: Measured AI Visibility Results

Last reviewed: August 19, 2026

One program, one regulated B2B category, one 14-month measurement window. Every figure below comes from that engagement and describes it only — it is not an average across clients and not a promise of what another program will produce.

Insurance · Regulated carrier

One regulated B2B insurance category: AI Overview coverage from 32% to 88% over 14 months

A carrier in a compliance-heavy category was largely absent from AI answers in its own core policy questions. Over fourteen months we rebuilt answer-first page structure, structured data and topical coverage across those questions, and tracked AI Overview presence every month against a fixed set of prompts.

32% → 88%

AI Overview coverage, 14 months

117

AI Overview citations earned

963 → 25,588

Ranking keywords, same period

~19,900

Monthly searches covered in category

AI Overview coverage across the 14-month window

Share of the locked prompt universe where the brand appeared in a Google AI Overview, measured at baseline and at month 14.

Endpoints are measured values. The connecting line is indicative only; month-by-month coverage is not published.

Published measurement window Live model

Month 0

32%

Baseline

Month 14

88%

Measured endpoint

Only the documented baseline and month-14 endpoint are treated as measured coverage values.

How this was measured

A locked prompt universe, built once from the client's buyer research and competitive set, then re-tested every month without changing the prompts.
Five engines measured each cycle: ChatGPT, Google AI Overviews, Gemini, Perplexity and Microsoft Copilot.
Citation scored separately from recommendation — being quoted as a source and being named as the answer are recorded as two different outcomes.

Limitations

The client is not named, under NDA. The figures cover one category over one 14-month window and are not an average across clients or a forecast for another program. What is reported is citation and coverage movement — it is not a claim of direct revenue attribution.

Questions about how any of this was measured? Ask directly →

Results questions

Ranking is no longer enough

You need to be cited, mentioned, and recommended.

Being cited, mentioned, and recommended are three different outcomes, and most brands only ever achieve the first one. Ranking is no longer enough because AI engines answer buyers directly and name only a short list of vendors as the recommendation — everyone else is cited in passing, if at all. Get a free AI Visibility Report to see exactly where your brand appears today across ChatGPT, Google AI Overviews, Gemini, Perplexity, and Copilot, where competitors are winning the recommendation instead, and what's keeping you from moving up the shortlist.

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