Should you optimize for the algorithm you have or the one that’s coming?
- Published November 6, 2026
- Linked from 1 answer
- In a cluster of 63
Neither, as a target: build on what has held through Google’s changes, and make only small, low-cost preparations for shifts that are already visible. What has lasted is the core of Google’s own guidance: pages made for people, accurate and complete, from sources that can be trusted, on sites that are technically sound. Those serve today’s systems and are the likeliest to serve the next ones, because Google’s guidance on core updates points site owners back to the same qualities.
What to build on, and what to prepare for
| Durable work | Light preparation for visible shifts | What to skip |
|---|---|---|
| Answering the search directly and completely | Clear, well-structured answers that are easy to quote, which suit both classic results and AI features | Rebuilding the site around a rumored ranking factor |
| Accurate, sourced, current information | Checking how your pages appear in AI Overviews for your main searches | Optimizing for a single tool's preferences before they are documented |
| Clear authorship and ownership | Keeping AI access deliberate: robots.txt choices for other tools' crawlers, and Search Console's Search generative AI control for Google's features | Mass content changes in reaction to one update |
| A crawlable, fast, indexable site | Watching AI-feature impressions in the Generative AI performance report, knowing that the clicks are only in the Web search type total, not separated | Abandoning practices that work today |
Google’s AI features documentation says there are no additional technical requirements for appearing in AI Overviews or AI Mode beyond being indexed and eligible to show with a snippet. That is a strong reason to keep the durable work at the center: the same pages that serve classic search are the ones eligible for AI features.
Why chasing either extreme fails
Optimizing tightly for the current algorithm’s details leaves a site exposed to the next update. Rebuilding around predictions of the next algorithm spends effort on signals that may never matter and may not even exist. Google’s own advice after core updates warns against quick fixes, and the same caution applies to quick bets on the future.
Keep checking the specifics
How AI features choose and cite sources is changing quickly, so confirm the details against Google’s current documentation before acting on them. Ranking in classic results and being cited in AI answers are not the same achievement; the gap between them is the topic of why a page can rank first but never get cited in AI answers. Put the bulk of the effort into what lasts, and keep the bets small.
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