1
State the category
Put the product, audience, use case, and differentiator in the title, H1, opening copy, and structured data.
Discovery and recommendation
Help agents find, compare, and recommend your product.
Make the public facts an agent needs to recommend your product easy to crawl, cite, compare, and verify.
Recommendation begins before a click. An agent needs a stable canonical page, a clear product category, plain-language capabilities, current pricing context, and evidence for claims. It should not have to infer your market, audience, or limits from decorative copy. This outcome page focuses on the discovery layer that turns search visibility into a trustworthy short-list entry.
2
Publish comparison facts
Keep pricing context, integrations, limitations, policies, and dated change notes accessible without a login.
3
Connect the evidence
Use canonical URLs, descriptive internal links, source citations, and consistent organization or product entities.
4
Test retrieval
Ask a fresh agent to find a named fact from the homepage and return the source URL and as-of date.
Findability
The page appears in crawlable navigation and its URL is included in the canonical sitemap.
Extractability
Core facts are present in server-rendered HTML with meaningful headings and labels.
Trust
Claims have owners, dates, limits, and source links rather than unsupported superlatives.
Evidence loop
Find the first failure. Fix the task. Verify the same task again.
A score is a summary. The useful artifact is the URL, control, state, assertion, and safe stopping point your team can hand to a coding agent. Scan a public URL to create that baseline, then rerun the journey after each fix.
Create your baselineQuestions teams ask first
Will adding an agent manifest improve rankings?
A manifest may help a compatible tool orient itself, but it does not replace crawlability, useful content, authority, or normal technical SEO.
What should an agent be able to cite?
At minimum: what the product does, who it serves, the relevant constraints, pricing or next-step context, and the canonical page where each fact was found.
How do I validate recommendation readiness?
Use a fixed question and fixture: start at the homepage, ask for a specific comparison fact, require a citation and date, and record the first ambiguity.