AI Search Rewards Classic SEO, But Demands Broader Strategy

The smartest SEO retainers are not being cut back. They are being split in two: one half keeps the search fundamentals healthy, and the other half builds visibility for a world where AI systems assemble answers before a user ever clicks.

That is the real takeaway from Crystal Ortiz’s reading of the AI search shift at Search Engine Land. The old work still matters because retrieval-based AI is built on search-engine infrastructure, but the job no longer ends at blue links. Agencies that want to grow have to treat classic SEO and AI-search strategy as one stack, not two separate service lines.

The work that still earns its keep

The easiest mistake right now is to assume that because the interface changed, the underlying rules changed too. They did not. On-page SEO, reputable backlinks, quality content, freshness, and site speed still matter because AI search systems are still pulling from the web that search engines already understand.

That means the legacy deliverables still worth budget are the ones that make a site crawlable, readable, and trustworthy. If a page is slow, stale, thin, or built without clear topical coverage, it is still going to struggle in classic search, and it is also less likely to be surfaced or cited by AI systems that depend on that same underlying index.

For agencies, that keeps the old retainer core alive. Technical cleanup, content refreshes, link earning, and performance work are not obsolete. They are the base layer that makes every newer AI-facing tactic possible.

Why the shift feels bigger than a normal algorithm update

The market pressure is what changes the sales conversation. Search Engine Land framed the current moment as a long-running hybrid model rather than a clean break, tracing that model back to 2015 and Google’s RankBrain. That matters because it means this is not a brand-new discipline to learn from scratch. It is the next version of a search system that has been blending signals, context, and machine interpretation for years.

Google says AI Overviews are used by more than a billion people, and it says AI Overviews and AI Mode may use a query fan-out technique that fans a single request into multiple related searches. That is a huge clue for agencies. The target is no longer just one head term. The target is the full cluster of subtopics, supporting questions, and adjacent intents that a model can pull together into an answer.

Google also says AI Overviews and AI Mode can surface more supporting web links than classic search. That means the winning content strategy is not just about writing one page that tries to catch one query. It is about building a body of material that can support a topic from multiple angles, so the model has plenty to work with when it fans out.

What clients will still pay for, and what they will pay for now

This is where the agency-growth question gets practical. Classic SEO deliverables still justify budget when they protect visibility, indexation, and performance. AI-era deliverables earn budget when they improve the odds of being cited, summarized, or recognized across more than one surface.

A strong hybrid retainer now usually needs both:

• Technical SEO and site performance work that keeps pages fast, clean, and accessible
• Content depth that covers the topic map, not just the exact keyword
• Freshness updates for pages that need to stay current
• Backlink and authority building that still signals trust to search systems
• Query fan-out planning that maps related questions, not just a single head term
• AI-search monitoring that watches how the brand appears inside AI Overviews, AI Mode, and similar surfaces
• Reputation and distribution work that earns third-party coverage, so the brand is known before the prompt is typed

That last point is where Britney Muller’s framing lands hardest. Her message is not to optimize for AI in isolation. It is to optimize for search engines so retrieval-based AI can cite the brand, while also earning third-party coverage that teaches the model who the brand is before anyone asks.

That is a useful pitch for agencies because it broadens the service line without throwing away the old one. The SEO team becomes the team that builds citation-worthiness, not just ranking potential.

The Red Queen problem for agencies

Search Engine Land also uses the Red Queen principle, and it fits this moment perfectly. If competitors keep adapting, standing still leaves you behind even when the core rules look stable. That is exactly what is happening in AI search.

The agencies that keep selling only keyword reports and rank tracking will look increasingly thin. The agencies that add entity visibility, subtopic coverage, AI-search monitoring, and reputation building will look like they understand how search is actually being answered now.

That is why this is less a debate about whether SEO is dead and more a service-line reset. The winning retainer is not pure classic SEO and it is not pure AI branding theater. It is a hybrid package that proves the site is technically sound, the content is deep enough to be cited, and the brand is visible enough to be trusted when models do the answering.

Why the urgency is real

The traffic math already explains why agencies are being pushed in this direction. Rand Fishkin’s SparkToro study found that in the United States, about 360 of every 1,000 Google searches send a click to the open web, while roughly 60 percent end without any click at all. Ahrefs then added a sharper warning, finding that AI Overviews correlated with a 34.5 percent lower average CTR for the top-ranking page, and later updating that estimate to a 58 percent lower organic click-through rate for position-one content when AI Overviews are present.

That is the part publishers and agencies cannot ignore. Chartbeat says AI models are especially good at summarizing commodity content, quick takes, explainers, and repeated-answer coverage, which can choke off organic visibility for sites that rely on that kind of material. In practice, that means shallow articles and interchangeable explainers are the first to get squeezed.

The agencies that adapt fastest will be the ones that help clients move from commodity visibility to durable authority. In AI search, the best budget is still spent on the fundamentals, but the new money goes to being cite-worthy, model-visible, and impossible to mistake for a throwaway answer.