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Aeologic AI

Industries

Same platform. Six different playbooks.

A regulated pharma portfolio and a D2C catalogue share the mechanics of search and nothing else. Pick the category whose constraints you recognise.

    • Every region and business unit runs its own tooling and its own definition of done.
    • Legal and compliance review is the real bottleneck, not writing.
    • Nobody can answer the board's question: are we visible in AI search or not?

    2.4Madditional monthly organic sessions in 14 months

    • Review sites and listicles outrank your own comparison pages.
    • A model recommends three competitors and never mentions you.
    • Product-led content is written by engineers with no time to optimise it.

    5.1xgrowth in demo requests from organic in 9 months

    • Thousands of product pages with duplicate, manufacturer-supplied copy.
    • Category pages that rank badly and convert worse.
    • Paid acquisition costs rising faster than margin allows.

    82xorganic sessions in 90 days, 11K to 64K

    • One location page doing the work of twelve service areas.
    • Reviews scattered across platforms with no strategy behind them.
    • A model recommends the competitor two suburbs away.

    +412%inbound booking requests year on year

    • Medical and legal review turns a two-week piece into a two-month one.
    • YMYL scrutiny means weak E-E-A-T signals cap your ceiling permanently.
    • Models describe indications, contraindications or dosing incorrectly.

    2.0M+monthly visitors added across the portfolio

    • Per-seat tooling costs that scale faster than the client roster.
    • Reporting assembled by hand at the end of every month.
    • Clients asking about ChatGPT and no credible answer to give them.

    +19clients added without additional delivery headcount

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