optise-helix-race-audit

What problem does it solve?

Audits a B2B webpage against the proprietary Optise RACE™ framework (Requirements, Actions, Constraints, Evidence) to determine AI agent evaluation readiness — how well AI agents running multi-step buyer workflows can evaluate, recommend, or shortlist this page. Distinct from FITq (which scores AI search citation readiness) — RACE scores agent-readability. Fetches the URL, analyzes rendered HTML, and returns ranked fixes. Use when the user asks for a RACE audit, agent-readiness audit, AI agent evaluation check, or wants to know if AI agents will recommend their page. Returns a 4-signal scorecard (0-100), top 5 fixes, a "not ideal for" template if that signal is weak, and a before/after diff for the highest-priority fix.

Core Features & Use Cases

• Provides a 4-signal RACE score (Requirements, Actions, Constraints, Evidence) with a 0-100 total.
• Returns the top 5 fixes and a before/after diff for the highest-priority fix.
• Offers an explicit "not ideal for" starter template to help buyers identify fit.
• Supplies an actionable workflow for audits to inform product, marketing, and compliance decisions.
• Useful for pages targeted to AI agents evaluating multi-step buyer journeys.

Quick Start

Run the RACE audit against a target URL and review the 4-signal scores, top fixes, and the not-ideal-for starter template.