How to build an internal AI knowledge assistant your team can trust
A practical guide to source quality, permissions, citations, evaluation, human review, and the ongoing work behind a dependable internal AI assistant.
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Notes from the practice: performance, technical SEO, practical AI, and the decisions marketing leaders keep having to make without straight information. Written to be useful whether or not you ever hire us.
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A practical guide to source quality, permissions, citations, evaluation, human review, and the ongoing work behind a dependable internal AI assistant.
A friendly glossary of common website terms, including hosting, DNS, CDN, cache, CMS, APIs, redirects, and structured data, each explained in a sentence or two.
A practical way to assess a workflow before choosing an AI tool, including the work, data, risks, review steps, and outcomes worth measuring.
A plain-language guide to LCP, INP, and CLS: what each metric measures, how much it really affects rankings and conversion, and what to ask your developers.
Agencies are structurally biased toward rebuilds. Often the smarter move is targeted pruning: fixing the specific things that are broken and keeping the equity you have earned.
A plain-language guide to what chatbots, automations, and AI agents actually do, where they overlap, and how to choose the simplest useful approach.
What schema markup actually does, which types are worth implementing for a business website, and why it is a foundation rather than a growth hack.
Redesigns are the most common self-inflicted SEO disaster. The failures are predictable: URL changes without redirects, deleted pages, and slower templates. All preventable.
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