GUIDES
In-depth guides to building traffic from Google and AI search.
A practical guide to SEO in Claude with MCP servers: connecting them, researching from Search Console, drafting, publishing with a confirm step and tracking citations.
The 20-item vendor checklist: access, money pages, the review corpus, freshness, and measurement, ordered by payoff and built for a quarter of Fridays.
The agency playbook for honest AI search work: scope the surface per vertical, promise leading indicators, ship the deliverables that move answers.
The four-stage pipeline behind AI product rankings: framing, retrieval, the consensus vote, and answer ordering, plus where new SaaS products lose and win.
The evergreen answer with receipts: what Google's policies actually say, what the spam updates actually hit, why AI takes the blame, and the safe-harbor list.
The mechanism answer: walking the file through every stage of the citation pipeline, the measured results, the audit-score confusion, and where it fits.
The 2026 buyer-behavior numbers reconciled: adoption claims vs the trust gap, the review-site mechanism connecting them, and what vendors should instrument.
Why prospects really go quiet, a four-touch cadence that respects both sides, the emails that earn replies, and the prevention that beats all of it.
Follow one buying query through an AI engine's pipeline, access, retrieval, extraction, trust, citation, and fix what each gate checks on your own site.
The one-afternoon analytics build: a referrer reference table, the GA4 channel group setup, the undercount caveats, and the reporting that survives review.
The complete recipe: spec, worked example, and deployment in 20 minutes, followed by the honest evidence on whether any AI system will ever read it.
A keep/kill/add triage of the off-page portfolio: which link tactics survive the AI search era, what to stop paying for, and the new lines that earn budget.
THE SIGNAL
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