Agent Ready SEO

Agent-Ready SEO

Optimizing for search used to have one reader. It now has three, and they want different things from the same text.

Most sites are built for the first reader only. This skill covers the other two without breaking the first, and the three layers share one content source rather than becoming three codebases.

The load-bearing claim: a generative engine cites numbers, dates, sources and methods. It does not cite restated common knowledge. So the work splits in two halves that must both happen. Publish something only you can publish (GEO), and make it trivially machine-readable (AEO). Doing only the second makes you easy to read and forgettable.

Start here: what is the task?

Read the reference for the layer in play. Do not read all of them.

Templates are working code with the framework-neutral contract stated at the top of each file. templates/generic/ holds the same contract as raw HTTP plus one non-framework implementation, for stacks other than Next.js.

The order that works

Each step depends on the one before it. The most common failure is doing them backwards: writing a hundred pages before having anything different to say.

1. Survey the competition before writing. You need to know what is already occupied and where the gap is. An afternoon of teardown saves months of redundant content.
2. Find the data only you have. This decides whether GEO is available to you or only SEO. Without proprietary data, all that is left is writing better than everyone else, which is much slower.
3. Fix the technical base. Sitemap, robots, canonical, titles, structured data. Cheap, fast, and what stops the rest of the effort from leaking.
4. Ship the free tool before the content. A no-login calculator or checker answers practical-intent queries better than any article, and it is what earns unsolicited links. It is also what still gets the click: on one property the guides sat near one percent click-through and the tools of the same segments at three to six, at the same position, because the informational query is increasingly answered on the results page and the click that survives is for a page that does the thing. The tool must deliver to an anonymous visitor what its title promises; gate saving and exporting, not the result.
5. Only then scale pages per segment, with real data per page. If a page does not answer something only you can answer, it should not exist.
6. Add the agent layer. Text version, llms.txt, canonical stitching the two. Do it after the base is ready, because it mirrors content that already exists.
7. Instrument before expecting results. First-touch attribution and search console configured before traffic arrives, or the first months are lost data. Verify the layer against production, and consider an external scorer as a second opinion. See references/verification.md. Any later change to titles or templates is an experiment with a register, a control and a baseline taken before the deploy; see references/measurement.md.
8. Treat the data as a recurring publication. An index that stops updating stops being citable within two months. The routine is part of the asset.

Non-negotiables

These hold regardless of stack, market or CMS. Violating one usually undoes the rest of the work.

• Never ask a search engine to index two versions of the same text. The markdown twin stays out of the sitemap and declares the HTML page as canonical. Discovery for agents happens through llms.txt, rel=alternate and a predictable URL pattern.
• Generate, do not copy. Any second rendering of content (markdown twin, llms.txt, a pricing summary) must be derived from the same source as the page. Where a hand-maintained copy is unavoidable, say so and schedule an audit.
• Structured data that contradicts the page is worse than no structured data. A model reads the declared block, not your table. A wrong number there gets repeated with your name attached.
• Emit lastmod only when a real content date backs it. A per-deploy timestamp teaches crawlers to distrust the field entirely. Absent beats false.
• Let AI crawlers in, on purpose. Blocking them guarantees you are never cited, at the exact moment that channel is growing. If the strategy is to be the source, the reader has to be allowed in.
• Publish the aggregate, gate the live. Dated snapshots, methodology and educational material are what get cited; per-user, current and personalized data is what people pay for. That line is also what keeps a data business from giving itself away.
• A page must answer something only you can answer. This is the single test that separates programmatic SEO from doorway pages, and it applies before the template is written, not after the penalty.
• No invented ratings, no fabricated review counts. Aggregate rating markup without real reviews is the fastest way to lose rich results permanently.
• An unknown path answers 404, even behind an auth gate. A default-deny middleware that redirects everything to a 200 login page tells every agent that every URL exists. Keep the deny; distinguish "gated" from "nothing".
• Verify against the deployed site, from outside. The edge can override robots.txt, the framework can drop a header, and a dev server hides both.

Using the templates

Every template is self-contained and starts with a comment block stating the contract it implements, so it can be read without this skill loaded.

Adapt rather than transplant:

• Replace SITE_URL with the canonical host, including the www decision.
• Replace the example content sources (getGuides, getPosts) with the project's real ones. Never leave a template's placeholder data in a shipped file.
• Keep the comments that explain a constraint (why lastmod is conditional, why the item route precedes the region route). Drop the ones that narrate the template itself.
• Check the framework note at the bottom of each file before porting.

When the project is not Next.js, read templates/generic/contract.http first: it states the observable behavior each endpoint must have, which is what actually matters. The framework is an implementation detail of that contract.

Scope

In scope. Publishing and serving: the agent layer, citable datasets, programmatic pages, the technical base, structured data, attribution of AI referrals.

Also out of scope. Making the product operable by an agent: authentication an agent can complete, controls it can drive, an API or MCP server for your product, a machine-payable checkout. External scorers weight those heavily, so a site that follows this skill completely will still not score full marks. That is expected. See the layer mapping in references/verification.md.

Out of scope. Acquiring the data in the first place (scraping, licensing, normalization pipelines) is a separate discipline with its own legal and ethical constraints. This skill assumes the data exists and is yours to publish.

Adjacent skills. seo-audit for hunting on-page issues, programmatic-seo for keyword-side opportunity sizing, schema-markup for a broader catalog of types, copywriting for the words themselves.