Be findable.
Without promising a guaranteed spot.

Make each page useful for a question

A company searching for “install local AI” needs to understand the engagement, the prerequisites and the possible next steps. A page that repeats this term without answering those questions helps little. Another search, such as “which machine to choose”, deserves a distinct angle, linked to the first.

The same principle applies to the library: separate the intentions, add examples and keep the information up to date. Hundreds of almost identical variants do not replace this depth.

Check the technical foundation

Important URLs must be accessible, linked to one another and consistent with the canonical addresses. The sitemap lists the pages meant for search, not errors or private previews. Titles and descriptions must describe the content that is actually visible.

The Google documentation on sitemaps states that submitting one is a discovery signal, not a guarantee of indexing. Search Console then makes it possible to observe the known pages and to diagnose problems, with the appropriate rights.

What about answers generated by AI?

For Google AI Overviews and AI Mode, the usual SEO principles still apply. A page must be indexed and eligible for snippets to be able to serve as a supporting link. Meeting these conditions does not guarantee its selection.

The Google guide to AI optimization does not recommend magic markup. Google notably says not to use llms.txt to improve visibility or ranking. Other engines have their own mechanisms; an observation on Google is not proof for all.

Track what really happens

After publication, look at the queries and pages that generate impressions, clicks and then relevant contact requests. Pick up the questions that visitors still ask. Editorial hypotheses thus become decisions based on actual use, rather than a race for the number of articles.