AI Growth Scan

Where Opportunity Finds Intelligence.

See your company the way AI search does

When a buyer asks an AI assistant for suppliers, integrators or tools in your category, does your company appear — and is your website one of the sources it cites? The AI Growth Scan measures exactly that, then tells you what to fix first. It is where most companies start on GlobleMatch.

Pilot service — free during the pilot. We run the analysis and email you the full report after a human review. The report is not generated instantly, and we will tell you exactly which AI engines were measured.
Module 1

AI visibility

How often your brand is mentioned when buyers ask category questions in AI answers — the questions where your competitors are being recommended today.

Module 2

Citation sources

Which websites AI actually cites in your category — roundups, review sites, directories — and whether your own pages are ever among them.

Module 3

Competitor defaults

Which brands have become the default answer in your category, question by question, so you know what you are up against.

Module 4

Fix-first action plan

A prioritised list of changes — structured data, answer-first content, directory and roundup presence — ordered by how hard each position is to win.

Methodology

Measured, reproducible, brand-neutral

  • 12 category questions per engine, written the way buyers actually ask — tool recommendations, comparisons and use-case questions. Your brand name never appears in the question; we measure whether AI names you on its own.
  • Mention = your brand is named in the answer. Citation = your domain appears in the answer's sources. Both are counted, question by question.
  • Same question set, re-runnable. After you make changes, we re-run the identical questions so the before/after comparison is honest.
  • Engine coverage is stated, not implied. We add AI engines as API access allows; every report names the engines actually measured.
Sample audit

What a first scan typically finds

Sample findings from a November 2026 method demonstration run on websites we operate or advise (anonymised). It shows the shape of a real report — your scan uses your category and your competitors.

0 / 120

Brand mentions across 120 category questions on the measured engine — the sites were invisible in AI answers

475

Third-party domains cited by the AI answers instead — the citation economy is real, it just was not theirs

10 / 12

Questions where one head competitor was named in the most monopolised category

3

Root causes found on every site: no third-party mentions, roundup/review content monopolising citations, head brands as default answers

Sample data from a real audit, anonymised. It is a demonstration of method, not a promise of results.

How it works

From request to report in four steps

1

You submit your website

Thirty seconds: website, work email, industry and the markets you sell into.

2

We run the scan

The fixed question set runs against the measured AI engines; mentions and citations are recorded with the raw answers kept on file.

3

A person reviews it

An analyst checks the findings, removes noise and writes the fix-first plan. No raw model output is forwarded as a "report".

4

Report by email

Your visibility score, the citation map for your category, your competitor defaults and the prioritised fixes — then, if you want, a re-scan after changes.

Free tool — works now

AI-search readiness checklist

A transparent self-check, not an invented score. Your answers stay in this browser and are not sent anywhere.

0 of 6 checks complete

Request a scan

Free during the pilot

The scan is free, and every listed company gets one baseline scan as part of the free base. Ongoing tracking is part of the Growth plan when subscriptions open.

We email the report to the address above after the human review is complete. By submitting you agree to our Privacy Policy; we use these details only to respond to this request.