Add the stats, sources, author attribution, and freshness cues answer engines weigh before they cite a page — the signals that earn the lift.
Enrich authority signals on our "ai marketing agent" and "seo automation" pages.
Twelve pages now name the founder as author, fourteen stats trace to primary sources, and every page shows an update date. The signals that were missing are the ones answer engines weigh before they cite — and the ones that let them attribute the citation to us.
An authority signal template adds the cues answer engines weigh before they quote a page: original stats, sourced claims, named authors with credentials, and current dates. Classic SEO treats these as ranking inputs; AI answer engines treat them as citation inputs — the difference is that a page without them can still rank, but it will not get quoted. The template fixes the gap so the page earns the lift.
A per-page enrichment that adds the cues answer engines weigh: original stats, sourced claims, named authors, publication and update dates, and external references. The output is a fix list, not a score — the signals are concrete and so are the gaps.
The ones that prove the claim: named author with credentials, sourced stats, publication and update dates, and references to primary sources. Generic trust badges and stock photos do nothing — engines read the words, not the images.
Because an engine that names the author can name them in the answer, which raises the odds the citation ships with attribution. A page with no named author is quotable but unattributable, which means the engine often picks a source it can name.
Engines prefer current claims. A visible update date, a current stat, and a reference to a recent source all signal the page is maintained. A page that looks abandoned — no date, old stat, dead links — gets skipped even when the content is still true.
The agent reads the page from your CMS, scores the authority signals against the rubric, and writes the fix list to Docs or Notion. It pairs with the AI extractability audit so the audit flags the gaps and this template fills them with the right kind of evidence.
The page you want AI engines to cite.
Agent checks author, sources, dates, and references.
Add named authors, source stats, refresh dates.
Export to CMS and confirm the signals are visible.
Adds citation signals, not just ranking signals
Names authors so engines can attribute the citation
Sources stats to the primary reference, not to a round-up
Pairs with the extractability audit for the fix workflow
The cues that prove the claim: named author with credentials, sourced stats, publication and update dates, and references to primary sources. Engines read the words, not the trust badges — the signals are concrete and so are the gaps.
Yes, because an engine that names the author can name them in the answer. A page with no named author is quotable but unattributable, which means the engine often picks a source it can name instead.
A visible update date, a current stat, and a reference to a recent source. A page that looks abandoned — no date, old stat, dead links — gets skipped even when the content is still true.
Original stats are best, but a sourced stat beats an unsourced one. The bar is that the claim traces to a primary reference the engine can verify. A round-up of other people’s stats without sources does not help.