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WP Bulk Publishing

AI Visibility

Be the brand ChatGPT, Gemini, Claude, Perplexity, Copilot and Grok actually name.

Measured, per-model visibility work: a scored prompt-set baseline, a retrievability and entity rebuild, corroboration across the sources models trust, and monthly re-runs so the trend line is provable rather than anecdotal.

10 engagements in this pillar

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Scoped and deliverable on request today — productised pages are being written now.

On the roadmapAI shopping feed visibilityProduct data shaped for assistant-led buying surfaces.
On the roadmapAgent-readable action layerMaking your site usable by agents, not just readable.
How the work is done

Delivery standards every engagement is held to

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.

Research before publish

Every engagement opens with an evidence pass: demand data, log files, index coverage and a uniqueness audit. Nothing ships against a guess.

Performance is a ranking input

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.

Quality gates, not volume targets

A uniqueness gate blocks near-duplicate output at build time. Pages that cannot justify their own existence never reach your sitemap.

Versioned and reversible

Everything ships behind a change log with a one-command rollback bundle kept warm for 90 days.

Measured on a repeat cadence

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.

Your stack, your keys

We work inside your repo, your hosting and your accounts. No lock-in layer, no proprietary black box you cannot inspect.

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