Case 03

    Defense Technology

    B2B, B2G

    |

    Timeline: 10 Months

    Capabilities Deployed

    The Opportunity

    Researchers query AI to explore specific defense technologies and locate component specialists. The models were returning broad overviews instead of active manufacturers. We structured the technical data so AI engines cite the client as both the definitive educational resource and the validated vendor.

    Pre-Engagement Baseline

    Commercial AI Impression Share

    20%

    AI Referred Inquiries

    0/mo

    What We Deployed

    AI retrieval bypasses commercial copy and requires strict technical definitions to cite a source.

    We replaced commercial language with strict definition pages, mapped exactly to the technical specifications buyers use for contract vetting.

    Defense buyers use AI and search for unclassified research before directly vetting vendors.

    We structured the foundation so AI cleanly extracts the data, while deploying targeted pages to capture the exact validation searches our AI citations provoke.

    Specific defense queries have low search volume but carry extremely high commercial intent.

    We ignored broad keywords and optimized strictly for niche component prompts to capture the complete validation loop.

    Post-Engagement Results

    Commercial AI Impression Share

    57%

    Directly Attributable AI Referred Inquiries

    2/mo

    Key Metrics

    Before

    Commercial AI Impression Share

    20%

    Before

    AI Referred Inquiries

    0/mo

    After

    Commercial AI Impression Share

    57%

    After

    Directly Attributable AI Referred Inquiries

    2/mo

    57%45%33%20%0%
    M1M5M10
    AI Impression Share (%)

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