Answer Engine Optimisation (AEO) should build on durable search fundamentals: crawlable pages, original and useful content, accurate entity details, relevant media, supported structured data, and truthful attribution. Google says its AI search features do not require special AI markup or llms.txt. Other products differ, and no implementation guarantees indexing, traffic, or citation.
Why this matters now
Some buyers now add AI summaries to the familiar mix of search results, maps, reviews, and original websites. A business therefore benefits from publishing accurate facts and useful source material in formats that people and retrieval systems can understand.
For Google, AI Overviews and AI Mode build on Search, so established SEO practices still matter. The platform — not the website owner or agency — decides what is crawled, indexed, retrieved, summarised, or cited.
How AI-assisted products may use web sources
Products use different combinations of indexes, live retrieval, licensed data, structured page content, entity matching, and quality systems. Those systems change and are not fully disclosed. Clear, attributable pages reduce ambiguity; they do not force inclusion.
An evidence-based AI visibility foundation
1. Keep important pages crawlable and indexable
Start with the same technical access Search needs. Important public pages should return a successful response, be linked internally, avoid accidental noindex directives, declare a sensible canonical URL, and appear in the sitemap. Review crawler controls against current platform documentation before changing them.
- Document which public and private routes should be crawlable and why
- Keep private, admin, and transactional routes blocked
- Check current platform documentation before changing a user-agent rule
- Remember that allowing a crawler does not guarantee retrieval or citation
This creates a deliberate crawl policy and avoids treating access as a visibility promise.
2. Treat llms.txt as optional, not Google SEO
llms.txt is an emerging, non-universal convention for summarising key pages in Markdown. Google explicitly says Search does not use it, so it is not a Google ranking or AI-visibility signal. Keep it only as a low-maintenance reference for other services that may choose to support it; never let it replace the HTML site, sitemap, internal links, or Search Console. See our llms.txt and llms-full.txt as transparent examples.
3. Publish non-commodity, first-hand content
Give readers information they cannot get from a generic summary: your real process, constraints, prices, comparison criteria, tested examples, source links, dates, and limitations. Clear summaries and headings help people scan the page, but Google says there is no required AI-specific writing pattern or ideal page length.
4. Use supported structured data where it fits
Structured data should match visible content and use types supported for the page, such as Organization, LocalBusiness, Article, Breadcrumb, or JobPosting when applicable. There is no special schema required for Google's generative search features, and adding unsupported markup does not create eligibility.
5. Entity sameAs arrays
A shared brand name can refer to several organisations. A sameAs array can link an Organization entity to verified official profiles and reduce ambiguity. Include only profiles the organisation controls or can verify; markup alone does not establish authority or guarantee use by a platform.
6. Truthful publisher or author attribution
Identify the real publishing organisation, or a named person and relevant credentials only when that information is verified. Accurate attribution and profile links make authorship easier to interpret, but they do not guarantee preferential treatment or citation.
7. Keep questions and answers genuinely useful
Publish real customer questions with visible, accurate answers when they help the page. FAQ structured data should be used only where it accurately describes the visible content, and Google currently limits FAQ rich-result availability.
8. Add relevant, high-quality media
Original images, diagrams, demonstrations, and video can make first-hand content easier to understand and may support multimodal search experiences. Use descriptive alternatives, stable crawlable URLs, explicit dimensions, and media that is genuinely relevant to the surrounding text.
What Malaysian SMEs should do next
- Verify the site in Search Console and inspect important canonical URLs
- Fix crawl, indexing, mobile, performance, and duplicate-content problems
- Publish original detail that reflects real experience, evidence, and limitations
- Connect accurate Organization details to verified official profiles
- Add relevant images or video and measure Search performance over time
These steps improve the same durable foundation used by traditional and AI-assisted search. If you want them integrated with professional web design services and SEO, that is part of the Atlas package. Engines still control indexing, retrieval, and citation.
Build for clarity, attribution, and maintainability first; treat AI visibility as eligibility, not a promised outcome.