Episode 13: The AEO Podcast EP 13: Google AI Mode Did Not Kill SEO

HOST: Welcome back. Jessica here with Matt. Today we're talking about Google AI Mode and AI Overviews, and Matt's title for this episode was "Google AI Mode did not kill SEO." Subtle.

MATT: I stand by it.

HOST: Why did you want to do this now?

MATT: Because Google has been rolling out AI Search link updates, including a May sixth update, and the industry reaction is always the same. Half the people say SEO is dead. The other half say nothing changed. Both are wrong.

HOST: What actually changed?

MATT: Google announced link-focused updates for AI Mode and AI Overviews: more direct links inside AI responses, further-exploration links at the end of answers, better previews of where links go, more visibility for original sources and personal perspectives, and subscription labels for news content.

HOST: That sounds publisher-focused.

MATT: It is, but merchants should care. Any time Google changes how links appear inside AI answers, it changes the opportunity surface. The question is not only "can I rank number one?" The question is "can I become one of the supporting sources Google chooses when it fans out a complex query?"

HOST: Query fan-out. Define that without making everyone leave.

MATT: Fair. Google's Search Central docs say AI Mode and AI Overviews can use a technique called query fan-out. Instead of running one search, Google breaks a complex question into multiple related searches across subtopics and data sources. Then it assembles the answer from a wider set of pages.

HOST: So if I ask "best non-toxic rug for a nursery that ships fast," Google might search rugs, nursery safety, materials, shipping, reviews, maybe local availability?

MATT: Exactly. That's why old SEO pages that only target one head keyword are weaker in AI Search. AI Mode is looking for pages that answer the sub-questions. What material is it? Is it washable? Does it have certifications? What's the return policy? Are reviews strong? Is the product in stock?

HOST: So SEO is not dead, but the unit of optimization changed.

MATT: That's a good way to say it. Classic SEO asked, "Can this page rank for the query?" AI Search asks, "Can this page answer one or more useful parts of the query fan-out?"

HOST: What does Google say site owners should do?

MATT: The official guidance is refreshingly boring. Google says the best practices for SEO remain relevant for AI features. There are no additional technical requirements to appear in AI Mode or AI Overviews. Your page needs to be indexed, eligible to show in Search with a snippet, and compliant with Search policies.

HOST: No magic AI schema?

MATT: No magic AI schema. Google explicitly says you don't need special AI-only markup or machine-readable AI files to appear in these features. That is Google-specific; it does not mean every AI assistant treats site-summary files or structured content the same way. But for AI Mode and AI Overviews, Google lists the fundamentals: crawling allowed in robots.txt and hosting infrastructure, internal links, good page experience, important content available as text, high-quality images and videos, structured data that matches visible text, and up-to-date Merchant Center and Business Profile information.

HOST: That is basically SEO homework.

MATT: Yes. The AI layer made the homework more important, not obsolete.

HOST: Let's turn that into a merchant checklist.

MATT: Good.

HOST: Number one?

MATT: Indexability. Go to Search Console. Check your key product pages and collection pages. Are they indexed? Are they blocked by robots.txt? Are canonical URLs correct? Indexing is not a guarantee that you'll appear in AI Mode, but if Google can't index the page, AI Mode is not going to save you.

HOST: Number two?

MATT: Textual content. If the important product information is hidden in images, tabs that never render in source HTML, or JavaScript widgets, Google may not get the clean signal. Put the key facts in real text on the page.

HOST: Number three?

MATT: Structured data consistency. Google says structured data should match the visible text. Don't claim in JSON-LD that a product has a five-star rating if the page doesn't show reviews. Don't mark up FAQ answers that users can't see. AI search increases the temptation to stuff schema. Don't. That is how you create trust problems.

HOST: Number four?

MATT: Merchant Center and Business Profile. Ecommerce merchants need current product data in Merchant Center where applicable. Local businesses need Business Profile details up to date. AI systems reconcile your website with external entity data. If those conflict, you lose confidence.

HOST: Number five?

MATT: Internal links. Query fan-out benefits pages that are easy to discover across topic clusters. Product pages should link to buying guides, FAQ pages, sizing guides, ingredient explainers, care instructions. Not as SEO theater. As real paths through the buyer's questions.

HOST: So what's different from SEO in 2018?

MATT: The answer shape. In 2018, a shopper searched "best leather tote bag," clicked ten blue links, and compared stores manually. In 2026, a shopper asks, "What leather tote under 250 dollars fits a laptop, looks professional, and won't scratch easily?" AI Mode decomposes that into attributes and sources.

HOST: The merchant who wins has the page that answers those attributes.

MATT: Right. And not necessarily with one giant page. They might win because the product page has material and dimensions, the buying guide explains leather finishes, the FAQ answers care questions, reviews mention laptop fit, and schema ties it together.

HOST: Where do the new Google link updates matter?

MATT: They matter because Google is trying to make AI answers less of a dead end. More links and previews mean more chances for useful pages to earn clicks. But those clicks may go to pages that answer narrower subtopics, not just category pages. A care guide, a comparison page, a sizing guide, or a FAQ can become the link users click from AI Mode.

HOST: What should merchants publish because of that?

MATT: Answer assets. Not generic blog posts. Answer assets. A sizing guide. A "which material is right for you" guide. A product comparison table. A return-policy explainer. A troubleshooting FAQ. A use-case page.

HOST: How does SEOMelon fit?

MATT: SEOMelon helps identify product clarity gaps and generate FAQ or AEO content for product pages. But for Google AI Mode, I would pair that with Search Console. Search Console tells you where Google is already surfacing you. SEOMelon helps improve the pages that are too thin or ambiguous.

HOST: What should someone not do?

MATT: Don't create a separate "AI page" stuffed with every keyword and hidden from users. Don't add fake FAQ schema. Don't chase every acronym. Google's guidance is clear: make helpful content, ensure it is crawlable, keep important info in text, keep structured data honest.

HOST: Give me the bottom line.

MATT: AI Mode did not kill SEO. It punishes thin SEO faster. The merchants who win will still do the boring fundamentals, but they'll write for full buyer questions instead of isolated keywords.

HOST: What should merchants do first?

MATT: Pick one product category. Write down the five follow-up questions a buyer would ask an AI assistant before purchasing. Then make sure your site has pages that answer each one clearly.

HOST: Next episode, we get more tactical: product data, and why a beautiful page can still be useless to an AI shopping assistant.