Agent Check evaluates how well autonomous agents (e.g., ChatGPT Agent Mode, Perplexity Comet) can complete real customer workflows on your site—and delivers a prioritized fix plan.
Overall workflow completion reliability
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The shift is happening—prepare for it
Autonomous agents acting on behalf of customers are becoming your next user segment. These agents navigate your product to complete tasks, and when they fail, you lose revenue and support efficiency.
Agent failures happen silently—your analytics don't explain why agents get stuck, loop, or dead-end. Traditional monitoring won't catch these issues until they impact revenue or overwhelm support.
Standard web analytics track page views and clicks, but they can't show you the agent's mental model or why it failed to complete a workflow. You need observability for agent-driven journeys.
Clear positioning to avoid confusion
Can humans/search engines find and rank your content?
Does an LLM mention your brand/content in answers?
Can an agent navigate UI, forms, state, and flows end‑to‑end?
Agent Check measures agent task success—not rankings and not content mention optimization.
Procurement-friendly artifacts and actionable insights
Overall score plus breakdown by workflow/journey. Understand at a glance how "agentable" your product is.
Granular metrics by agent/model/environment. See which agents succeed and where they diverge.
Visual map showing exactly where agents got stuck, looped, or dead-ended. Navigate to problem areas instantly.
Screenshots, steps, timestamps, and state transitions for every failure. Replay exactly what the agent experienced.
Systematic categorization: navigation, forms, state, error handling, dynamic UI. Understand failure patterns.
Impact × effort matrix with "quick wins" highlighted. Know exactly what to fix first for maximum ROI.
Rerun the same tests after fixes to track improvements over time. Ensure you're making progress.
Our process combines cutting-edge agent technology with expert human validation
Our expert data scientists, specialized in autonomous agent workflows, define goal-oriented tasks aligned with activation, conversion, and support deflection. Humans review and adjust task prompts and acceptance criteria to ensure real-world relevance.
Runs execute across multiple agents/models and environments, capturing comprehensive traces: actions, screenshots, state transitions, and failure evidence. Our specialized team leverages cutting-edge agent technology to ensure thorough coverage.
Agents propose pass/fail assessments with evidence, then our expert data scientists review edge cases and finalize the report. This human-in-the-loop validation ensures reliable, actionable results.
Reproducible runs on staging or production (with guardrails and enterprise security controls)
Built for big SaaS & big ecommerce
Deep product workflows, not just login/billing
We don't stop at generic flows—we build and execute task suites tailored to your critical SaaS journeys (activation, expansion, support deflection, and day‑2 operations), and report exactly where agents get stuck and why.
Big-brand, complex reality
Our differentiators
Not single-run demos. We execute across multiple agents and models to give you a realistic picture of agent navigability.
Expert data scientists validate findings to reduce flakiness and ensure you get reliable, actionable insights.
Not just screenshots. You get prioritized fixes with impact × effort analysis and specific recommendations.
Staging-first option, rate limits, data handling controls. Built for enterprise procurement requirements.
Rerun after fixes to track improvements over time. Ensure you're making measurable progress.
Enterprise-ready from day one
We recommend starting with staging environments to validate the process before production runs. Full production support available with guardrails.
We test agent navigability using workflow patterns, not personal data. Your user data stays secure and private.
Complete audit trails for all runs. NDA-friendly engagement model for sensitive enterprise environments.
Rate limits, access controls, data encryption, and compliance-ready execution. Built to meet enterprise procurement requirements.
See what you'll receive (placeholder preview)
Get started with an enterprise demo or download a sample report
No. Agent Check measures agent task success—not search engine rankings (SEO) or LLM answer inclusion (GEO). We evaluate whether autonomous agents can complete real workflows on your site, navigate UI, handle forms, and manage state transitions.
Both. We recommend starting with staging environments to validate the process, then moving to production runs with appropriate guardrails. All executions include rate limits, access controls, and enterprise security measures.
We test across multiple agents and models (including ChatGPT Agent Mode, Perplexity Comet, and others) to give you a realistic picture of agent navigability. This multi-agent benchmarking ensures your fixes work broadly, not just for one agent.
We use a dual validation approach: agents propose pass/fail assessments with evidence, then our expert data scientists review edge cases and finalize the report. This human-in-the-loop validation reduces flakiness and ensures reliable, actionable insights.
We need staging or production access to your site to execute workflows. No internal user data is required—we test agent navigability using workflow patterns. All access is secured with enterprise controls and NDA-friendly engagement models.
Yes. Every engagement includes a regression suite you can rerun after fixes to track improvements over time. This ensures you're making measurable progress and validates that your changes actually improve agent navigability.