The retrieval fundamentals every other pillar stands on.
Classic search engineering extended to generative and answer engines: entity graphs, schema, crawler policy, llms.txt, answer-shaped content structure and the technical hygiene that decides whether anything you publish is retrievable at all.
Rewrite your site into the shape answer engines can lift verbatim.
Influence the corpus assistants read, not just the page they crawl.
Make every machine agree on who you are.
The technical layer that decides whether AI can read you at all.
The 4-week planning sprint that stops you from building the wrong website.
Scoped and deliverable on request today — productised pages are being written now.
The same operating standards apply whether the scope is a five-day audit or a hundred-thousand-URL build. They exist because scaled publishing fails in predictable ways — and each one closes a failure mode we have had to fix on inherited projects.
Every engagement opens with an evidence pass: demand data, log files, index coverage and a uniqueness audit. Nothing ships against a guess.
Templates carry an LCP and payload budget. Slow pages get crawled less, and pages crawled rarely fall out of the index — so speed is scoped in, not bolted on.
A uniqueness gate blocks near-duplicate output at build time. Pages that cannot justify their own existence never reach your sitemap.
Everything ships behind a change log with a one-command rollback bundle kept warm for 90 days.
Prompt sets, index coverage and crawl rate are re-run on the same schedule with the same scoring, so improvement is a trend line rather than a claim.
We work inside your repo, your hosting and your accounts. No lock-in layer, no proprietary black box you cannot inspect.