AI search generated a large amount of advice very quickly, and a lot of it was published before anyone could test it. The guides in this cluster try to separate the parts that are documented by the platforms from the parts that are inference.
What is documented is narrower than the advice suggests. Structured data can make a page eligible for certain result types; eligibility is not selection, and Google removes support for result types periodically. llms.txt is read by some AI systems and explicitly not used by Google, which makes it cheap to publish and dishonest to sell as a lever. Content in server-rendered HTML is more reliably available to crawlers than content assembled by client-side JavaScript, and that has been true for a long time.
What is not documented is why any specific answer cited any specific source, and no one outside those systems can tell you. Anything written with confidence about citation mechanics, including anything here, is a description of observed patterns rather than of the rules.
The practical throughline is that content which answers a question directly, in HTML, with something in it the other sources do not have, is the part that survives every change to how results are assembled. The rest is hygiene worth doing and not worth overclaiming.
Google has confirmed 38 ranking updates since November 2021, 16 of them core updates. The full dated register from Google's own dashboard, plus how to tell whether one actually hit your site.
Compare intent, content, crawlability, internal links, reputation, page experience and first-party search data without blaming a CMS or promising rankings.
How Core Web Vitals fit within page experience, how to separate field and lab evidence, and why performance does not map to a fixed ranking or revenue outcome.
A site migration can change crawling, indexing and ranking signals. Reduce avoidable risk with a URL inventory, relevant redirects, rendered checks, cutover controls and Search Console monitoring.
A dated review of the Agentic Browsing checks shown in the audit snapshot, what was scored, what was marked not applicable, and why no technical score guarantees AI inclusion or sales.
Current Lovable apps support SSR or crawler pre-rendering. Diagnose publishing, indexing, canonicals, metadata, content and Search Console before proposing a rebuild.
Past the reading stage?
These guides describe the decision. If you have made it and want the work scoped against your own site, the commercial terms, acceptance criteria, and exclusions are on one page.