Search interfaces are changing, but no credible source can tell every business exactly what share of discovery will move to AI assistants by a fixed future date. The useful response is not a decade-long percentage forecast. It is a flexible plan that preserves proven SEO foundations while adding careful observation of generative search and answer systems.
What remains stable
Useful pages still need to be accessible, indexable, accurate, well linked, and supported by evidence. Google says its established SEO guidance remains relevant to AI Overviews and AI Mode, with no additional technical requirements or special schema.
The durable work includes:
- correcting public product, price, author, location, and policy facts;
- maintaining crawlable canonical pages and accurate sitemaps;
- using structured data only when it matches visible, eligible content;
- citing direct sources for material claims;
- measuring visits and business outcomes with stated attribution limits.
What is genuinely new
Teams may also need to observe generated answers:
- which questions are relevant to their audience;
- whether the brand is mentioned or cited;
- whether the answer is accurate;
- which sources appear;
- how responses vary by system, date, prompt, language, or location.
These are observations, not a stable ranking. A changed answer does not prove that one website edit caused it.
Use scenarios instead of predictions
Build plans that remain useful under several possible futures:
| Scenario | Practical response |
|---|---|
| Traditional search remains dominant | Continue investing in useful pages, technical quality, and conversion measurement |
| Generative features expand unevenly | Track the queries and markets where they actually appear |
| AI assistants become important for a buyer segment | Publish accurate decision information and observe those assistants separately |
| Referral data remains incomplete | Keep mention, citation, visit, and revenue metrics separate |
Do not assign a date or market-share percentage unless a direct source supports the exact population, method, and limitation.
A staged operating plan
Planning periods organize work; they are not promises of external results.
Foundation cycle
- inventory material public claims;
- fix security, privacy, indexing, and broken-journey issues;
- establish canonical facts and content owners;
- record a small baseline prompt set.
Evidence cycle
- improve pages buyers use to evaluate the product;
- add direct sources and limitations;
- validate structured data against visible content;
- correct authorized third-party profiles.
Observation cycle
- repeat the same prompts;
- save complete answers and cited URLs;
- compare search analytics and attributed business outcomes;
- document unknowns and competing explanations.
Optional AI-oriented files
llms.txt is an optional community proposal. agent.json is SkillAEO's experimental format. Neither guarantees discovery, citation, ranking, or recommendation, and neither replaces normal web pages or an authenticated API.
Frequently Asked Questions
Is AEO replacing SEO?
No. AEO relies heavily on established SEO, content, and evidence foundations.
What percentage of discovery will happen through AI assistants?
There is no universal, defensible forecast for every market. Use current evidence for your audience and state its sample and limitations.
Should we set a fixed SEO-to-AEO budget split?
No universal split exists. Allocate resources based on actual user behavior, query observations, search performance, and business value.
How can we prepare without overinvesting?
Start with accurate public information and a documented observation set. Expand only when evidence shows a real user or operational need.