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Illustrative exampleModelled scenario showing how we work. Not a named client result.

B2B · Software

A software company finds out what AI says about it

A modelled scenario of a B2B company measuring and improving how AI answers describe it.

Scenario

Context

A software company selling to mid-sized firms. Sales said prospects increasingly arrived saying 'I asked ChatGPT'. Marketing had no idea what those tools were saying.

Cause

The problem

Nobody knew whether the company was in the answers.

The product facts differed between the website, directories and review sites. Several pages that explained the product were thin, and one important page blocked AI crawlers by mistake.

What we did

  1. Week 1

    Questions

    We agree thirty buyer questions that matter, in the buyer's own words.

    AI Search / GEO

  2. Week 2

    Test

    We ask each question across the main AI answer engines and log who is named and what is cited.

    AI visibility audit

  3. Months 2 to 4

    Improve

    Product facts made consistent, thin pages rewritten, crawler access fixed.

    AI search programme, Content & On-page

Illustrative example

The modelled outcome

QUESTIONS WHERE THE COMPANY IS NAMEDTIMEILLUSTRATIVE TREND
Illustrative trend. Not a measurement. Real answers vary from day to day.
Which vendor suits a mid-sized firm?ANSWER1 Brand One2 Brand TwoYOUR BRAND · NOT NAMED[1] review-site [2] trade-press

In the model, progress is bumpy. That is why we report a pattern over time, not one result.

Illustrative quote

Illustrative exampleModelled scenario showing how we work. Not a named client result.

"I didn't expect a straight answer about AI search. The page that listed what they couldn't promise is what made me trust the rest."

Marketing lead, B2B software company

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