GEO Pro RSS: make source material easy to understand

Build pages around answerable questions

Choose a concrete reader question and answer it directly. Explain the conditions under which the answer applies, define important terms, and provide an example that makes the reasoning useful. A page about feed identifiers should help a maintainer decide what to preserve during a migration, rather than merely repeat a collection of related keywords.

Keep the evidence near the claim it supports. Name the relevant specification or primary documentation, distinguish your practical recommendation from the source's requirement, and retain a clear canonical address. This helps people assess the explanation whether they arrive from an ordinary search result, a feed reader, or an AI answer.

Use documented platform requirements

Google's guidance for AI features and websites says established SEO practices remain relevant and that no special AI file or special schema is required for its AI search features. It also states that eligibility does not guarantee inclusion. Keep that guidance scoped to Google rather than assuming every AI service works the same way.

Maintain readable text, coherent internal links, and structured data that corresponds to the visible page. Use RSS to communicate updates to subscribers and consuming systems. A feed should preserve useful context and source links, but publishing one does not establish that a particular answer engine will retrieve or cite it.

Review visibility with a repeatable question set

1. Select a small set of real questions your guides answer.
2. Record the service, question wording, date, and observed response.
3. Note whether the answer cites your page, another source, or no source.
4. Compare the cited material with the claims in the response.
5. Use recurring gaps to improve the underlying explanation.

Treat observations as a sample of behavior, not a universal ranking. Different wording and contexts can produce different answers. Keep the original observations so a later comparison measures the same questions instead of replacing inconvenient examples with easier ones.

Prioritize improvements that benefit the reader directly: clearer definitions, a missing prerequisite, better source attribution, or a complete example. Those improvements remain valuable even when a particular AI service changes its retrieval process. The structured data guide develops the connection between accurate visible content and machine-readable descriptions.