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cybersecurity firm

AEO
Qualified leads captured
14 / mo
Research surface impression share
42%

challenge

Answer engines returned generic vendor lists when buyers asked about specific technical problems. The brand was not named. The job was to convert the model output from ‘here are some options’ into ‘this firm specializes in this exact problem.’

approach

External narrative lockdown

Seeded identical operational data across third-party platforms and directories to force cross-source consensus and lock the citation in.

Problem-specific surface

Built isolated, context-dense landing pages mapped one-to-one with target prompts so the model could process the client as the specialist for each problem.

Machine-readable workflows

Restructured the technical foundation and FAQ layer so the answer engines could cleanly extract operational workflows and direct contact pathways.

outcome

Research surface impression share moved from under 1% to 42% inside five months. Qualified leads captured stabilized at 14 per month, all directly attributable to AEO surface.

Before
  • Research surface impression share<1%
  • Qualified leads captured0 / mo
  • Attributable pipeline€0
After
  • Research surface impression share42%
  • Qualified leads captured14 / mo
  • Attributable pipeline€630k / mo

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[ How it works ]

How the guarantee works, and the formula the number is built on.