Case studies

AI search results you can inspect.

See how restaurants and software businesses became easier to find in AI answers and Google search.

Daily measurement · Real baselines · Full method

Real businesses. Measured results.
10.77%
London-based wine and restaurant chain

How often the branch was named in checked local AI answers: 1.4% to 10.77%. During the programme.

41.6%
UK trades software platform

How often the platform was named in checked AI answers: 5.8% to 41.6%, after around two months.

6.7x
B2B identity data platform

How often the platform was named in checked AI answers: 3.5% to 23.2%, after around two and a half months.

The results

Real businesses. Measured results.

Each study states its own AI or Google measurement scope, baseline, current window and limits.

Local dining-question visibilityAgreed baseline and latest report15%7.5%0%1.4%10.77%BaselineLatestTracked Canary Wharf dining questions

London-based wine and restaurant chain

10.77%

1.4% to 10.77%

During the programme

AI visibility for “where to eat in Canary Wharf” questions rose from an agreed baseline of 1.4% to 10.77%, above the 3% target.

Inspect the evidence →
AI search visibility rose from 5.8 percent to 41.6 percent A two point trend using the measured start and end values only. AI search visibility Measured start and end values 50% 25% 0% 5.8% 41.6% Start Latest Share of voice: 1.2% to 13.7% · Rank: 17th to 6th

UK trades job management and compliance software platform

41.6%

5.8% to 41.6% AI visibility

After around two months

AI visibility rose from 5.8% to 41.6% after around two months. In a separate comparison of matched Google Search periods, clicks rose from 173 to 522 (+202%).

Inspect the evidence →
AI search visibility rose from 3.5 percent to 23.2 percent A two point trend using the measured start and end values only. AI search visibility Measured start and end values 25% 12.5% 0% 3.5% 23.2% Start Latest Share of voice: 4.4% to 22.1% · Rank: 10th to 1st

B2B entity resolution and identity data platform

6.7x

3.5% to 23.2%

After around two and a half months

Share of voice rose from 4.4% to 22.1%. Category rank moved from tenth to first. The detail page explains the changed prompt set and the separate traffic window.

Inspect the evidence →

How we measure

Measured questions, checked repeatedly.

Daily Multi engine Study-specific scope

Each study states its question set, engine coverage, dates and limits. Where a source does not prove a fixed set, the study says so rather than implying a controlled experiment.

Your baseline

Find out where your brand stands now.

The free audit maps your current visibility, position, and competitive gaps. Book Marco if you would rather talk through the category first.

FAQ

How to read the evidence.

What counts as an AI Search visibility result?+
A result is a measured change in mentions, citations, position or share of voice across a named prompt set and engine set. Where attribution is available, we also connect that movement to qualified requests or pipeline.
Are all case studies measured the same way?+
The core discipline is the same: a recorded baseline, a named question set and repeated checks. Each study states its time window and flags any change to the prompts or engines so comparisons stay honest.
Can you guarantee the same result for another company?+
No. Categories, starting authority, competition and engine outputs differ. Each case study records one observed body of work and does not promise that another company will reproduce it.
Can we see our own baseline before choosing a service?+
Yes. The free AI Search audit checks your current category and competitor visibility first, then shows which gaps are worth addressing and which can wait.

Start with evidence

Measure the starting point. Then choose what to fix.

Your audit shows where AI answers mention you, where competitors lead, and which gaps deserve work first.