What we measured about it: 1,000 times a month of demand and a paid auction already at $31.59 per click; the AI answer on it carries no measurements.
Run on your market, a read shows: your real search demand under every phrasing, which AI answers in your market are open, partial or closed (with the evidence), what your competitors run in the public ad archives, and your break-even numbers computed from your own economics.
Book the 20-minute callor read the measured pieces first →"Geo optimization" is searched about 1,000 times a month at difficulty 39 of 100, with a top bid of $31.59: practitioners are already paying for this phrase. The long tail is telling: "ai overview seo" 140 searches a month, "how to rank in ai search" 70 searches a month, "how to get cited by chatgpt" 70 searches a month. measured
The method we actually run
1. Measure presence, twice. AI answers change between pulls; a single read overstates stability. 2. Classify every question as open (no answer), partial (the answer measurably stops short, usually on figures) or closed (complete, strongly cited: walk away). 3. Publish the missing figures on your own domain, sourced and dated, in self-contained passages an answer can lift. 4. Re-check at 60 days and keep score: citations won and lost, not vibes.
Why figures are the wedge
Nearly every partial door we classify fails the same way: the answer names options and carries no decision numbers. Numbers with provenance are the scarcest supply in the answer box, and the cheapest thing an honest operator can produce.
One read: your demand, your winnable AI answers, every competitor's ads, and your site's catch rate. Price and scope on a short call, plainly.
Book a call or see what a read contains →