optise-helix-race-audit

An AI agent readiness audit scores how well AI agents running multi-step buyer workflows can evaluate and recommend your page. It uses the RACE framework to analyze rendered HTML and return a 0-100 scorecard with prioritized fixes.

To check B2B webpage readability for AI agents, run a RACE audit on the target URL. The audit evaluates Requirements, Actions, Constraints, and Evidence signals, returning a 4-signal scorecard and a before/after diff for top fixes.

Agent-readiness evaluation differs from AI search citation scoring because it specifically measures how easily AI agents can shortlist a page in multi-step buyer journeys. RACE audits focus on agent-readability rather than general search citation readiness.

Improve your webpage score for AI buyer workflows by applying the top 5 fixes from a RACE audit scorecard. The audit provides a before/after diff for the highest-priority fix and a not-ideal-for starter template to help identify fit.

You should not use a RACE audit when your goal is scoring AI search citation readiness, as it specifically targets agent-readability in multi-step buyer journeys. If the page is not targeted at AI agents evaluating B2B workflows, RACE is not the ideal fit.

Yes, a RACE audit returns a before/after diff for the highest-priority fix to improve AI agent recommendations. It analyzes the rendered HTML of your target URL and supplies actionable fixes alongside the 0-100 total score.