AI search shifts SEO rules, but fundamentals still matter

The false choice is the real problem

SEO is not disappearing, but the job is changing fast enough to make lazy slogans useless. Crystal Ortiz, founder of Socialhart and a practitioner with 10 years of experience building SEO programs, frames the issue the right way: this is not “SEO is dead” versus “nothing has changed.” It is a hybrid era, where authority, relevance, and content quality still matter, but they have to be packaged for systems that expand a query, retrieve across multiple sources, and answer before a click ever happens.

That matters because AI search is not just a shinier version of the old results page. It behaves differently, and that difference changes what gets surfaced, what gets summarized, and what gets ignored. If you keep treating AI visibility like a separate side project, you will miss the larger point: it is now part of the same search system that has always rewarded strong content and trusted brands.

What still compounds, even in AI search

The old fundamentals still earn their keep because AI systems still need signals they can trust. Clear on-page SEO, clean topical coverage, and strong backlinks remain useful because they help establish what a page is about and why it should be treated as credible. The important shift is not that these tactics stopped working, but that they no longer work alone.

Ortiz’s argument is the practical one most marketers need to hear: keep the core SEO playbook intact, then layer in AI-aware page design and more explicit entity signals. In other words, write and structure content so a human can read it quickly, but also so a machine can identify the topic, the brand, the relationships between entities, and the breadth of coverage around the question being asked. That is the kind of work that still compounds, because it strengthens both search performance and brand trust.

Why AI search forces a new layer

Traditional search mostly indexed and ranked pages. AI search expands a prompt into multiple related sub-queries, then synthesizes the results into an answer that may satisfy the user before a site ever gets the visit. That is where query fan-out becomes important: one request can fan into several related intents, which means the page that only matches a single keyword phrase may lose to the page that covers the surrounding concepts more completely.

This is also why prompt intent matters more than old-school keyword matching. If someone asks a layered question, the system is not only looking for an exact phrase. It is trying to understand what entities, subtopics, and supporting details would best answer the full request. Content that anticipates those branches, rather than chasing one query string, has a better chance of being chosen, quoted, or summarized.

The Red Queen effect is a good metaphor here

Ortiz uses the Red Queen principle, and it fits this moment well. In that framing, brands have to keep changing just to hold their place, which is exactly what AI search feels like right now. It is not a one-time algorithm tweak you can patch over with a few schema updates and call it done.

The point is not to overreact. It is to recognize that the competitive baseline is moving, and standing still is the same as falling behind. The smartest teams will keep their content operations, technical SEO, and brand-building systems in one place, rather than spinning up a separate “AI search” silo that never talks to the rest of marketing.

Google made the shift impossible to ignore

Google has been building toward this for a while. It introduced the Search Generative Experience in 2023, then began rolling out AI Overviews to everyone in the United States on May 14, 2024. Google later said AI Overviews had expanded to more than 200 countries and territories and more than 40 languages by May 20, 2025, and that users had already used the feature billions of times in experiments.

Google’s own positioning is revealing: AI Overviews are meant to give people a quick overview and still provide links so they can learn more. That sounds tidy on paper, but it also creates a hard reality for publishers and brands. If the answer is presented up front, the click becomes optional, and optional traffic is not the same thing as the traffic SEO used to deliver.

The traffic math has changed

Pew Research Center added another blunt layer to the story. In a March 2025 analysis, it found that Google users were less likely to click on links when an AI summary appeared, and they very rarely clicked the sources cited inside those summaries. That is the core business problem behind all the hand-wringing: visibility in AI search does not reliably translate into referral traffic.

The Search Engine Land reporting around Ahrefs sharpens that point even more. In one 2026 finding, only 38% of pages cited in Google AI Overviews also ranked in the traditional top 10, down from 76% eight months earlier. That gap says rankings and AI visibility are no longer the same thing, and brands that assume one automatically leads to the other are already behind.

How to adapt without throwing out the playbook

The move now is not to abandon SEO, but to make it legible to AI systems. That means content has to answer the main question, cover the related entities, and do it in a way that is easy to extract and summarize. It also means treating brand trust as a search asset, not a vague marketing slogan.

A durable approach looks like this:

• Keep investing in strong on-page SEO and backlink quality, because authority still matters.

• Build pages around topics, entities, and adjacent questions, not just exact-match keywords.

• Use clearer structure and more explicit signals so AI systems can identify who you are, what you cover, and why you should be surfaced.

• Think in terms of prompt intent and query fan-out, especially for complex or comparative searches.

• Fold AI search into the same workflow that handles content strategy, technical SEO, and brand building, instead of treating it like a separate channel.

That is the real lesson in all of this. AI search has shifted the rules, but it has not erased the basics. It has simply made the old strengths more visible, and the lazy habits more expensive.