After Google AI search is launched, how should you replan your SEO strategy?

Google AI Overviews goes live, the new battleground is no longer keyword rankings, but enabling AI Agents to understand your website. Structured data, clean APIs, and machine-readable formats are the foundational syntax for the next generation of visibility.
(Background: Google AI search enforcement kicks in, DuckDuckGo installs surge 30% in one week: letting users decide how much AI they want)
(Additional context: Google introduces two new native AI ads: rewriting the past 30 years of search ad rules with Gemini)

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• Click-through rates collapsed, but conversion rates soared
• Google’s SEO teachings need an update
• Not just optimizing for Google, now optimizing every AI entry point

This year at Google I/O, it was announced that AI-generated answers are now officially at the core of search. If you continue to optimize meta tags and chase keyword density, you might miss out on the advantages of the new search engine era.

Click-through rates collapsed, but conversion rates soared

After Google AI Overviews fully launched, data shows organic search click-through rates dropped from 1.76% to 0.61%, evaporating over 60% within a year. This is understandable—users no longer need to click into websites; they get answers directly from the top of the search results page.

But this isn’t a death notice for traffic; it’s a signal of traffic redistribution. According to market research, traffic from AI search tools has a 400% higher conversion rate than traditional organic search. Perplexity, ChatGPT, Gemini are competing for Google’s entry points, and visitors from these channels often have clear intent and are ready to act.

Putting these two figures together paints a clear picture: AI search traffic is of higher quality, but most brands have no idea if they can be found by AI.

Google’s SEO teachings need an update

Matt Thompson, Vice President of Scrunch, directly pointed out on the TechCrunch Equity Podcast: Google’s official SEO best practices are built on outdated logic—designed for human users to see you. But now, the gatekeeper of traffic is AI, and AI’s way of reading websites is completely different from humans.

Traditional SEO focuses on “keyword density,” “backlinks,” and “page experience scores”—metrics designed for Google’s crawlers and human click behavior. But AI Agents care about: Is the website’s data structure clean and readable? Are APIs open? Is the information accessible for machines to extract and reassemble?

Structured Data. Simply put, adding machine-readable tags to webpage content, such as “this is a product name,” “this is a price,” “this is an author,” so AI can understand the page’s semantics without guessing.

Agent Ready. In simple terms, is your website capable of being automatically operated by AI? Not just reading, but also price comparison, inventory checks, or even placing orders directly. Most corporate websites currently don’t even pass the first hurdle.

Not just optimizing for Google, now optimizing every AI entry point

The industry is now talking about a new term: “Search Everywhere Optimization.” Not just Google, but also ChatGPT, Perplexity, TikTok, Amazon—anywhere users might ask questions, brands need visibility.

The underlying logic is even more brutal: AI not only answers questions but will also execute actions directly in the future. Finding shoes, price comparison, checkout—the entire purchasing process will be handled by Agents. If a brand’s website can’t be parsed and called by an Agent, it’s not just dropping to second page rankings; it’s completely skipped over and not even considered.

Old SEO was about performing in front of humans; new SEO is about speaking fluent machine language in front of machines.