/ THE SHORT ANSWER
GEO is best treated as an extension of good search and information practice, not a replacement for SEO. Crawlability, indexing, internal links, helpful original content, clear entities, accurate text, page experience, and visible evidence still matter. The practical difference is that AI-assisted discovery often synthesises complex questions across multiple sources, so pages benefit from direct answers, unambiguous claims, source proximity, comparison structure, and content that contributes something distinctive rather than repeating commodity summaries.
- 01SEO foundations remain relevant to AI-assisted discovery.
- 02There is no special schema or file that guarantees AI inclusion.
- 03Distinct evidence and point of view matter more than query-variant volume.
/ dotSuper point of view
Optimise for being the clearest defensible source on a real question. The label matters less than whether people and retrieval systems can find, interpret, verify, and use the page.
What the evidence says
Google states that the same foundational SEO practices apply to its AI features and that there are no additional technical requirements or special schema needed for inclusion.
Google’s newer AI optimisation guidance emphasises crawlability, non-commodity people-first content, internal discovery, textual clarity, reduced duplication, and a useful page experience rather than manufacturing pages for every query variation.
A practical decision framework
The following framework is dotSuper’s operating synthesis of the cited guidance. It is designed to make the decision inspectable, not to imitate a platform ranking formula, certification checklist, or legal test.
- Be eligible: crawlable, indexable, canonical, internally linked, and technically sound.
- Be understandable: direct answer, semantic headings, explicit entities, and consistent facts.
- Be defensible: first-party evidence, sources, method, dates, limits, and accountable authorship.
- Be useful: help the reader make a decision or complete a task without another search.
| Step | Decision to record |
|---|---|
| 01 | Be eligible: crawlable, indexable, canonical, internally linked, and technically sound. |
| 02 | Be understandable: direct answer, semantic headings, explicit entities, and consistent facts. |
| 03 | Be defensible: first-party evidence, sources, method, dates, limits, and accountable authorship. |
| 04 | Be useful: help the reader make a decision or complete a task without another search. |
How to put it into practice
Audit ten priority buyer questions. For each, identify whether the best existing page gives a direct answer, page-specific evidence, clear definitions, relevant trade-offs, and a practical next step.
Measure search and AI-referral visibility separately from qualified business outcomes. A citation is useful only when it reaches the right audience and supports a credible decision.
- Name the accountable owner and the decision this work must enable.
- Record the current evidence, assumptions, exclusions, and next review trigger.
- Measure a useful outcome rather than treating publication or deployment as success.
What this page cannot conclude
- 01No optimisation method guarantees indexing, ranking, citation, traffic, or inclusion in an AI answer.
- 02AI products use different retrieval systems, data partnerships, policies, and interfaces that change over time.
- 03Publication, technical eligibility, or good practice cannot guarantee ranking, referral traffic, citation, adoption, or a business outcome.
Sources
Turn useful expertise into an inbound system.
dotSuper connects research, evidence-led pages, technical discovery, AI visibility, analytics, and qualified lead routing as one controlled operating loop.
Explore the Inbound Engine