An agent that grades pricing pages against a pricing expert’s rubric and ranks a whole market in one table.
The agent grades pricing pages — yours, your competitors’, or a whole market — against a ten-dimension rubric from a pricing expert’s published playbook. Each page also gets an AI-buyer test: an agent tries to price a 10-seat purchase from the page alone. The result is one table ranking the market, with a graded report behind every row.
Graded, tested by an AI buyer, re-checked before ranking
The same rubric at three scales — one page, the market, the synthesis
From a run on 20 GTM tools — Clay, Apollo, HubSpot, Gong, and sixteen more. The pages a human would grade best all failed the AI-buyer test: their top tiers say “Contact sales,” so an agent pricing a 10-seat purchase leaves empty-handed. Mid-table Smartlead passed by publishing one computable number; Clay’s page produced a firm $2,004/yr quote.
Human polish and machine readability are different investments — most pricing teams are making only one of them. Each company’s report closes with its own fixes, quick wins first.
The market ranking from the GTM-tools run — 20 companies on one table, with a per-company teardown behind every row and a cited cross-market report on top.
Reads the LinkedIn, Meta, and Google ad libraries and writes a weekly report on what competitors changed.
Writes your style guide from your published articles and reviews every new draft against it.
Adapted from the pricing-teardown and deep-gtm-research skills published by Kyle Poyar of Growth Unhinged. This rebuild adds the parallel market-scale run, the AI-buyer test, and a verification pass that re-checks every finding.