seo-content-audit

AI-search readiness is determined by scoring content against E-E-A-T and CITE rubrics. The audit requires fetching the published URL, extracting metadata and inline citations, and applying four veto checks to deliver a structured publish verdict with prioritized fixes.

The CITE framework evaluates content quality by checking for a Clear answer, Including primary stats, Timestamps, and Entity authority. Auditing against this 30-item rubric, alongside a 60-item E-E-A-T rubric, surfaces specific content gaps and applies veto checks to determine if the page is ready to publish.

Checking E-E-A-T veto checks involves fetching your published URL and evaluating it against a 60-item rubric. The audit automatically detects AI-content markers and applies four veto checks to the extracted metadata and inline citations, returning a structured verdict with evidence snapshots if it fails.

An E-E-A-T content audit requires WebFetch or Firecrawl to fetch published URLs and extract metadata. The workflow uses this fetched data to compute rubric scores, apply veto checks, and generate a publish verdict with top fixes.

Identifying AI-content markers requires an automated audit that fetches the published article and evaluates it against E-E-A-T and CITE rubrics. The workflow detects AI markers, applies veto checks, and outputs a structured publish verdict with evidence snapshots and top fixes.

You can get a publish verdict with specific fixes by pasting a URL into the auditor. The workflow fetches the page content, computes E-E-A-T and CITE scores, and returns a structured verdict with top fixes and evidence snapshots for editorial action.