[ Impact study · 5 months ]

Cybersecurity Firm

Technical pages and third-party publication for a cybersecurity provider.

Timeline5 months
Share of AI answers1% → 42%
Qualified inquiries / month0 → 14
Attributable pipeline€0 → €630k
05101520M1M2M3M4M5014
Problem

When buyers queried AIs about specific technical issues, the models returned generic lists of vendors who might be able to help. The strategy was to change the AI's output from "here are some options" to "this company specializes in this exact problem, this is how they operate to fix it, and here is how to contact them."

Work

A broad service page can leave a specific technical question unanswered

We built pages for the specific problems buyers asked about, explaining the client's solution and how to make contact.

AI needs accessible information to describe how a supplier works

We reorganised the technical information and FAQs so AI could retrieve the client's service details and contact options.

Consistent facts across publications and the client's site make the service easier to check

We published consistent service information on third-party sites to help AI identify the client's fit for the question.

Summary

In 5 months, qualified inquiries went from 0 to 14 per month, and the share of AI answers naming the client rose from 1% to 42%.

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