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geospatial intelligence

AEOSEO
Qualified leads captured
22 / mo
Research surface impression share
48%

challenge

The client wanted to become the canonical reference for a specific technical problem in geospatial intelligence, so that when engineers researched it, they hit the client’s definitions first.

approach

Definitive technical resource

Wrote the canonical technical guide for the target problem, structured so both crawlers and answer engines could ingest it cleanly.

Entity graph cleanup

Linked the resource into the surrounding entity graph (industry standards, academic references) so the model treats it as ground truth.

outcome

Engineers now land on the client’s resource first; the answer engines cite it as the definition. Qualified leads captured grew from 4 to 22 per month.

Before
  • Research surface impression share~6%
  • Qualified leads captured4 / mo
After
  • Research surface impression share48%
  • Qualified leads captured22 / mo

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[ How it works ]

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