6 min read
Agent readiness is not SEO, and not GEO either
Where SEO, generative engine optimisation and agent readiness overlap, where they diverge, and why ranking and being usable for a task are different problems.
Blog category
Foundations
What agent readiness is, how it differs from SEO, and how to read a score.
- 6 min read
Who is actually fetching your site, a field guide to AI user agents
The six crawler tokens check A2 scores, what each one is for, training, search indexing or a fetch on a user's behalf, and what blocking each one costs.
Checks A2, A5
- 6 min read
Reading your scan report, a check-by-check walkthrough
What each section of an AgentFriendlyRank report means, what the evidence blocks show, how fixes are ranked, and how to decide what to do first.
- 6 min read
The two fetches, what an agent sees versus what your browser sees
Most serious agent readiness findings live between the raw HTML and the rendered DOM. How check A7 measures the gap, and how to measure it yourself with curl.
Checks A7
- 6 min read
The three tiers of fixes, hours, weeks and architecture
What the rubric's Low, Medium and High effort ratings mean in practice, which of the 27 checks fall into each tier, and what the work costs.
- 6 min read
What agent readiness actually means, in one page
The four questions the rubric asks of a site, find, understand, act and trust, and why passing every SEO test says nothing about any of them.
- 6 min read
Why most sites score zero on machine endpoints, and why that is the opportunity
Check C4 asks for an agents.json, an MCP manifest, API docs or an OpenAPI spec. Almost nobody publishes one, which makes it the cheapest differentiation.
Checks C4
- 6 min read
Why we score out of 100 and publish the whole rubric
The case for a public, versioned scoring standard over proprietary AI visibility scores nobody can check, and why we never rewrite a historical score.