/init.news
AI discovery / FIELD NOTE

SEO, AEO, GEO: what actually changes in the build?

A practical order of operations for teams making their work discoverable in search and AI answers. Start with access, then evidence, then measurement.

THE ANSWER

SEO, AEO, and GEO describe overlapping discovery goals. For implementation, start with accessible, indexable pages that answer a real question and make their evidence easy to inspect. Add accurate metadata and internal links, then measure search visibility, observed citations, and useful visits separately. None of these steps guarantees an AI citation.

One page, several discovery paths

SEO usually describes discovery through search results. AEO emphasizes direct answers. GEO emphasizes visibility within generated responses. These labels are useful when discussing goals, but they do not define three independent technical stacks. Our recommendation is to give one useful page a clear job before buying three kinds of optimization.

Google says its existing SEO practices apply to AI Overviews and AI Mode. A page must be indexed and eligible for a search snippet to qualify as a supporting link. There is no additional technical requirement, and eligibility does not guarantee inclusion. Its documentation also describes query fan-out: an AI response can draw on searches across related subtopics. [1]

Build in this order

LayerShipVerify
AccessUseful content in the returned HTML; a stable URLA logged-out visitor can read the page without executing application code
MeaningA descriptive title and a direct answer followed by reasoningA reader can tell which problem the page resolves
EvidenceDated sources, explicit limitations, reproducible artifacts where availableEach factual claim has support; interpretation is labelled
RelationshipsRelevant topic links and a small number of useful next readsThe article can be reached from another indexable page
MetadataCanonical URL and accurate Article dataStructured data describes the visible page
FeedbackA query set and a dated release recordVisibility and useful visits are compared over a stated period

Article structured data can describe the author, publication date, headline, and other applicable properties. Google recommends validating markup and checking the deployed page. Treat this as a description of the article, not a mechanism that certifies its truth or promises selection. [2]

Choose a useful unit of publication

Suppose a studio has built a beautiful, difficult-to-describe interface. A useful publication might explain one design decision, the constraint that caused it, the alternative rejected, and a small artifact another team can inspect. That creates a reason to read and cite the page. Five lightly reworded pages targeting adjacent phrases add less value.

Google's guidance on generative AI content warns that producing many pages without added value may violate its scaled-content policies. It calls for accuracy checks that also cover titles, descriptions, structured data, and image text. [3]

A small experiment you can run

  • Choose one customer problem and record five natural-language questions people might ask about it. Mark these as proposed queries unless you have observed demand.
  • Publish one substantial answer. Give it one primary search intent and keep related wording on that same page when the answer is substantially the same.
  • Save the publication date and exact changes. Before editing again, inspect whether the page can be fetched and whether its internal links work.
  • Review a consistent query sample after enough time for discovery. Record the engine, date, location, exact prompt, and cited URL. One answer is an observation, not a market-share estimate.
  • When first-party data is available, compare impressions, clicks, and engaged visits. Preserve zero separately from missing data. Keep changes that improve a useful outcome, and document uncertainty.

What this does not establish

This is a recommended workflow, not a published uplift study. No ranking improvement or citation gain has been measured for this publication at launch. A search-demand estimate is evidence of possible interest in a query, not proof that the searcher is your customer.

Sources & checks

  1. Google Search Central: AI features and your website ↗

    [1] Eligibility, query fan-out, standard SEO practices, and no guarantee of inclusion.

    CHECKED 2026-10-07
  2. Google Search Central: Article structured data ↗

    [2] Applicable Article properties, markup validation, and deployed-page checks.

    CHECKED 2026-10-07
  3. Google Search Central: guidance on generative AI content ↗

    [3] Added value, factual review, metadata checks, and scaled-content concerns.

    CHECKED 2026-10-07

Found an error? Use the contact route on Metanomicon and include this page's URL and the correction.