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Research Note

Research Note: Making a Website Legible to Task-Oriented Software

What should a site owner improve before adding an agent-specific file, feed, or API?

Aug 4, 20263 min readBy Dalton Anderson

Research Note: Making a Website Legible to Task-Oriented Software

Question

What should a site owner improve before adding an agent-specific file, feed, or API?

What the sources establish

Google's AI-features guidance says a page must be indexed and eligible for a Search snippet to appear as a supporting link in AI Overviews or AI Mode. Google says there are no additional technical requirements and no need for special AI text files or markup. It recommends crawl access, internal links, visible text, useful media, accurate structured data, and a good page experience.

The W3C heading guidance explains that headings communicate page organization and support in-page navigation. W3C's landmark guidance explains how semantic regions help assistive technologies identify major sections. These sources establish accessibility and programmatic structure for people and user agents. They do not prove higher citation rates in an AI answer.

Google's structured-data guidelines require markup to represent visible page content accurately. Correct markup can make a page eligible for certain rich results, but Google does not guarantee a rich result or higher rank. Schema.org supplies a shared vocabulary for entities, relationships, and actions. Google documents which subset affects its own Search features.

The Robots Exclusion Protocol standardizes crawler instructions and expressly says those instructions are not access authorization. The Sitemaps protocol defines a discoverability file for canonical URLs. Neither protocol describes task completion.

The /llms.txt file is a 2024 proposal for a curated Markdown map of important site content. It is not a ratified web standard, an access-control mechanism, or a Google Search requirement. It can be tested as a low-cost supplemental index, but it should not displace ordinary information architecture.

The OpenAPI Specification provides a machine-readable description of HTTP APIs. An API can reduce ambiguity when software must query structured data or perform a state-changing action. It also creates security, authentication, authorization, rate-limit, versioning, privacy, and support obligations.

Disagreement and uncertainty

"AI agent" covers different systems. A browser-driving tool may use rendered pages and accessibility data. A crawler may retrieve HTML. A search system may use an index. An integrated agent may call a documented API. One technical surface cannot be assumed to serve every system.

There is not enough evidence to say semantic HTML, schema, an API, or /llms.txt causes a general increase in AI citations or agent task completion. Each element has a narrower supported job.

No controlled Venture Step or Footprint before-and-after test has been authorized in this content package. The public guide can provide a test method and an illustrative task trace. It cannot claim that a change improved the live product.

Editorial use

The guide should begin with task definition rather than markup. A task record needs a goal, starting URL, required facts, allowed actions, completion signal, and safety boundary.

The implementation order should move from stable URLs and visible content to navigation, semantic HTML, accurate metadata, structured data, feeds, and only then an API. Add a new surface when a real task fails because the current surface cannot represent the required data or action.

The guide should distinguish discovery, comprehension, and action. A sitemap helps discovery. Semantic HTML and visible relationships help comprehension. An API can support action. None guarantees that a third-party system will use the site.

Sources

Follow the evidence.

  1. Current Google Search AI feature documentationdevelopers.google.com
  2. Sitemaps protocolsitemaps.org
  3. W3C headings guidancew3.org
  4. Schema.orgschema.org
  5. W3C landmarks patternw3.org
  6. /llms.txt proposalllmstxt.org
  7. Google's guide to optimizing for generative AI featuresdevelopers.google.com
  8. Venture Step E080 on Spotifycreators.spotify.com
  9. News Source Citing Patterns in AI Search Systemsarxiv.org
  10. From Citation Selection to Citation Absorptionarxiv.org
  11. Venture Step E080 on Amazon Musicmusic.amazon.com
  12. Introducing Search Generative AI performance reportsdevelopers.google.com
  13. RFC 9309 Robots Exclusion Protocolietf.org
  14. Venture Step episode listpodnews.net
  15. General structured data guidelinesdevelopers.google.com
  16. OpenAPI Specificationspec.openapis.org
  17. Auditing Citation Behavior in AI-Generated Search Summariesproceedings.mlr.press
  18. 2024 Zero-Click Search Studysparktoro.com
  19. In 2026, Less than One Third of Google Searches Still Send a Clicksparktoro.com
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