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Insights / Field reports

Field notes fromthe AI search frontier.

Frameworks we ship, case studies from real engagements across industrial e‑commerce and local services, and the algorithm updates that actually moved revenue. No listicle filler — only what we’ve seen work, or fail, on real client pipelines.

Posts published
20
Topics covered
7

What we write about

Three pillars. No filler.

Every post lands in one of three buckets — the same three we build engagements around. If a topic doesn’t move revenue or readiness, we don’t publish on it.

  • § 01 · GEO · AI search

    How to be the source AI engines cite.

    Citation engineering, schema depth, AIO-readiness checklists, and the structural shifts behind why traffic from informational queries collapsed in 18 months.

  • § 02 · Technical SEO

    The mechanics under the rankings.

    Catalog architecture, crawl budgets, internal linking at industrial scale, Core Web Vitals on real PDP templates — not the homepage demo.

  • § 03 · Conversion / lifecycle

    What the traffic does once it lands.

    B2B e‑commerce funnel mechanics, quote-cart vs cart logic, lead-magnet timing, and the email sequences that actually move pipeline.

The archive

Browse by topic. Or read everything.

Filter by the practice area you’re working in — or scroll the full index, newest first.

Topics

How AI Search Picks Sources

A plain-language walkthrough of how AI search engines choose which sources to cite, and the three things that make a page quotable.

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Find the hole. Then decide.

Most owners think they need more leads. They usually don’t. The calls that ring out and the quotes nobody chased are a bigger hole than the ad budget. Either way you leave with the numbers: the exact gap and the highest-payback fix, whether or not you hire us.