What our own search data says about AI automation demand, this quarter.

Every SEO/GEO commentary piece cites the same handful of third-party panels for "what people are searching for AI automation." We have neither the reach nor the interest to compete with those panels on scale. What we do have is a real, dated, first-party dataset nobody else can reproduce: our own Search Console panel, and our own paid Ahrefs keyword research. This index fuses the two into one standing quarterly report.

It is not a claim about the AI-automation market broadly. It is a claim about what a real site with real rankings actually sees, and where the confirmed, sourced gap between that and the available search volume sits. Every figure below is labeled with its source and date.

Demand-by-bucket data: mcp__gscServer__get_advanced_search_analytics, property sc-domain:ayautomate.com, dimensions=query, 2026-06-25 to 2026-07-23 (28 days), the 153 highest-engagement named queries returned. Each query was sorted into one bucket by keyword pattern match (a simple, disclosed classification, not an ML model): model/product names and leak/jailbreak terms to Model News; hooks, repos, templates, and CLAUDE.md terms to Claude Code Tooling; free-model-lookup phrasing to Free Model Directory; agency/automation/ROI terms to Hire/Agency Intent; brand terms to Brand; the remainder to Other.

Content-gap data: the keyword-csv-analyzer skill run across 35 Ahrefs CSV exports, deduplicated against 192 published posts by title token-overlap. A keyword counts as a confirmed gap only if it has KD 20 or under and no existing post or page targets it.

This is the first edition. There is no prior quarter to compare against, so every number on this page is the baseline itself, not a change figure. Starting with the Q4 2026 edition, this page will report real quarter-over-quarter change against these numbers rather than a fresh, disconnected snapshot. We are not backfilling or estimating a synthetic Q2 2026 baseline to manufacture an early trend line.

Two things follow directly from this edition. First, the CTR gap on our highest-impression model-news pages is worth more than new content, since that bucket already carries 79.3% of our named-panel visibility: we are actively rewriting titles and descriptions on those pages rather than starting new ones. Second, the AI Governance cluster is the single largest confirmed, sourced gap on the site at 7,400+ monthly search volume against a pillar page that already exists but is not yet backed by a full supporting cluster, making it the clearest next investment this index points to.

Our AI governance framework guide and GTM engineer pillar are the two live pages this index is grounded in. If your own team needs this same read, our own panel plus our own methodology, applied to your search visibility, our fractional CAIO practice runs that analysis as part of an AI strategy engagement.