Technical SEO Audits for the AI Agent Era
Compass runs task-based audits, simulates agent navigation step-by-step, and shows you exactly what's blocking AI discovery — so your team can fix it.
A different kind of problem
Your site passes every SEO audit. Lighthouse scores are green. Pages are indexed. But when someone asks an AI assistant to find your pricing page, the agent gives up after three clicks.
AI agents don't have a pre-built index. They don't follow sitemaps. They navigate in real-time, making semantic choices about which links to follow — and they have patience limits.
This creates failure modes traditional tools can't detect:
Navigation failures
Content behind complex menus, accordions, or hover states that agents can't parse
Technical failures
JS-dependent content that renders for users but not for agents
Semantic failures
Link text like "Learn more" that gives agents no signal about what's behind it
Depth failures
Critical pages that require 5+ navigation steps to reach
Compass helps you find these issues before your customers — or their AI assistants — do.
How Compass works
Define tasks
Choose from 140+ pre-built tasks or create your own. "Find pricing", "Locate returns policy", "Reach the support page." Tasks are what real users ask AI to do.
Run the audit
Compass simulates AI agent navigation using a hybrid ML+LLM approach. Watch progress in real-time. See the reasoning behind each navigation choice.
Get actionable results
Receive structured diagnostics: which tasks failed, why, and what to fix. Feature scores your team can action — not opinions they'll push back on.
What Compass does
Task-based auditing
140+ pre-built tasks across industries — Universal, SaaS, E-commerce, Content, Financial, Healthcare, Enterprise. Customise for specific verticals, topics, or locales — or create your own.
Hybrid navigation engine
ML pre-filters link candidates, LLM makes authentic navigation decisions, ML interprets results. Two strategy modes: homepage navigation vs. search-first.
Real failure classification
Issues categorised specifically: Navigation, Technical, Semantic, Depth. Each with affected pages, feature scores, and fix recommendations.
Built on real data
Trained on 3,348+ navigation traces across 250 sites. 494,197 links analysed. Not synthetic benchmarks — real agent behaviour.
Who uses Compass
E-commerce teams
Product pages buried behind filters. Returns policies hidden in footers. Compass tests "find the returns policy" and shows you exactly where agents fail.
SaaS companies
Pricing behind JS modals. Feature comparisons that require interaction. Compass detects JS-dependency issues and tests real user intents.
Agencies
Need to audit multiple client sites and demonstrate AI-readiness. Compass provides structured reports you can share with clients.
Publishers
Archive navigation is complex. Author pages are hard to reach. Compass identifies deep path issues and semantic navigation gaps.