Four categories of tool sit next to this one and each answers a different question. None of them answers ours: Know whether AI agents can read you and buy from you — not just find you — and get told the day that changes. Here is the honest difference, including where each of them is the better tool.
Network-level agent controls
Cloudflare and similar edge platforms
They answer
Should this agent be allowed to reach the site at all?
AgentSpeed answers
Once it is allowed through, can it actually use what it finds? We test the page an agent lands on, independently of who let it in.
Use them instead when: Blocking scrapers, rate-limiting crawlers, or deciding agent access policy at the edge. That is enforcement, and it is not something a scanner can do for you.
AI visibility and GEO trackers
Prompt-monitoring and brand-mention tools
They answer
Did an assistant mention or cite our brand?
AgentSpeed answers
When an agent arrives, does the page work? Being mentioned is the easy half — 78% of our rubric weight is what happens after discovery.
Use them instead when: Tracking share of voice across assistants and prompts over time. We do not rank you against competitors in model answers, and we are not trying to.
Conformance specifications
Open agent-readiness specs and checklists
They answer
What SHOULD a site expose to be agent-ready?
AgentSpeed answers
What does this site actually do, measured, with a published error rate. Standards define the target; we report the distance from it.
Use them instead when: Writing an implementation plan from first principles, or when you want a vendor-neutral definition to build against. Specs are the better starting point; they do not measure.
Agent tracing and observability
LangSmith, AgentOps, Arize and similar
They answer
Did the agent WE built behave correctly on this run?
AgentSpeed answers
Can somebody else’s agent — one we never see, running code we do not control — use your website? Different subject entirely: they instrument the agent, we measure the site.
Use them instead when: Debugging your own agent: stepping through prompts, tool calls and model output on a single run. They go far deeper there and plenty of teams run both.
What makes an independent measurement worth having
Your edge platform may let an agent through. Your CMS may emit the right markup. Neither of them checks whether the whole thing works end to end for an agent that has never seen your site — and neither has any reason to tell you when it stops working. That is the job: an outside reading, against a published rubric with a measured error rate, repeated on a schedule.
We do also run telemetry for agents you build
Runs, journey canaries, alerts and status pages, metadata-only by design. It is real and supported, and it is a second surface for a second person — not what AgentSpeed is. If that is what you came for it lives at /observability.