ChatGPT Just Became an Ad Platform + Google Just Killed FAQ Schema

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Two stories shook AI search this week, and they look completely unrelated. They're not.

OpenAI rolled out a self-serve Ads Manager — the moment ChatGPT officially became a paid placement environment with an organic layer on top. Then, two days later, Google quietly deprecated FAQ rich results, ending one of the most overused SEO tactics of the last five years.

In this episode, Cassie breaks down what actually happened, what the SEO industry is getting wrong about both updates, and why these two stories — together — are sending the same message: the shortcuts are running out, and entity authority is the only durable AI visibility play left.

What you'll learn:

• Why OpenAI's self-serve Ads Manager is a bigger deal than the headlines suggest — and what the 2030 revenue target signals about the future of organic citation in ChatGPT
• The category restrictions on ChatGPT Ads right now (and why B2B SaaS isn't in the room yet)
• Why the "Google killed FAQ schema" headlines are technically true but strategically misleading
• The one sentence in Google's deprecation notice that completely changes how to read the news
• The difference between schema markup and rich results — and why marketers have conflated them for years
• Three specific actions to take on your FAQ schema this week
• Why the FSA framework (Freshness, Structure, Authority) is a mental model, not

Let’s connect:

LinkedIn → Cassie Clark | Fractional Content Strategist
Website → https://cassieclarkmarketing.com

Download Freshness, Structure, Authority: The Framework for AI Search Visibility:

Amazon

P.S. Is your brand losing its "Answer Authority"?

Most series A/B and enterprise brands are being "nudged" out of AI search results because of entity gaps and "stale" content. I am opening a limited number of specialized audit slots to help you reclaim your Share of Voice using the FSA Framework (Freshness, Structure, Authority).

Request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search optimization expert and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com.

Transcript

SPEAKER_00 1:13

Hey marketers, welcome back to another edition of AI Search News. This week is short, there are two stories, but both of them matter, and you've probably already heard about one of them. OpenAI turned ChatGPT into a real ad platform. That's the first story. And the second, Google officially killed one of the most overused SEO tactics of the last five years. Hey, I am Cassie Clark, a fractional content strategist and an AI search optimization expert. You are listening to Found and AI, the show dedicated to helping marketers and founders stay ahead of the wave instead of getting drowned by it. Here's the thing about this week: these two stories look completely unrelated. One's about paid media, one's about schema markup, but they're telling you the exact same thing. The window for cheap, easy AI visibility is closing. And the brands that build real entity authority now are the ones that can are going to keep showing up later. Let's break it down. On May 5th, OpenAI announced the launch of a beta self-serve ads manager, and they introduced cost per click bidding alongside the existing CPM model. Here's a quick translation for anyone who doesn't live in the paid media world. Up until now, if you wanted to run ads in Chat GPT, you had to go through an agency holding company or through an ad tech partner like Adobe. It was high touch, it was expensive, and it was basically limited to just enterprise advertisers. Now you can go to ads.openai.com, sign up with a business email and an EIN, set a budget, upload a creative, and run a campaign yourself. No agency required, there's no minimum spend. But there are a few things to know. First, it's category limited. So as of right now, eligible categories are just household and consumer goods, local services, travel and entertainment, and digital products and education. So if you are B2B SaaS, which I know a lot of you are, this is not for you just yet, but it will be likely. The financial scope here is also enormous. OpenAI is targeting$2.5 billion in ad revenue this year and a hundred billion dollars annually by 2030. Now, here's where this matters, even if you have zero intention of ever running an ad inside ChatGPT. This is the moment that ChatGPT stops being a free distribution channel for great content and starts becoming a paid placement environment. It's a tongue twister, paid placement environment with an organic layer. We have seen this before. We watched it happen with Google Search over the last 20 years. Google promised that ads wouldn't influence organic rankings and technically they still don't, but the real estate organic search occupies on a results page has shrunk every single year. The space available for unpaid visibility has gotten smaller and smaller. OpenAI said ads do not influence the core organic model of Chat GPT. They have been very clear about this. It was announced in that first memo about ads are here. And right now, this is probably believable. The line between paid and organic in Chat GPT is is pretty it is pretty clean. But ads appear clearly labeled, subtly tinted boxes, they're separate from the answer. Like you know it's an ad when you look at it. But the trajectory here also matters. Right now, organic citation in Chat GPT is the dominant signal. It's how brands get discovered, evaluated, recommended. As of now, optimizing here, this is all free real estate. But that window is closing. Maybe not in 2026, maybe not in 2027, but soon. So here's the strategic implication, and I want you to really kind of sit with this one and think about it. The brands that build entity authority now, and I talk about entity authority so much because it's so important, but the brands that build it now, while organic AI citations are still the dominant way people discover brands inside these engines, those brands are gonna have a moat when paid placement becomes table stakes. The brands that wait until ChatGBT looks like Google search before they take IA visibility seriously, they're gonna be buying their way back in. That is exactly what the authority pillar of the FSA framework is built for. Showing up consistently across the open web, getting cited, getting mentioned, building entity recognition. It's not a nice to have thing anymore. It's your insurance policy against the paid future. So if you've been on the fence about investing in AI search visibility, take this announcement as your sign. The free window won't stay open forever. Okay, second story. This one has been talked about so much on LinkedIn the last couple of days, and it's a perfect case study in how marketers should not react to algorithm news. On May 7th, Google added a deprecation notice to its FAQ structured data documentation. The notice reads, and I'm quoting here, FAQ rich results are no longer appearing in Google search. We will be dropping the FAQ search appearance, rich result report, and support in the rich results in June 2026. To allow time for adjusting your API calls, support for the FAQ rich results and Search Console API will be removed in August 2026. End quote. Translation. The FAQ dropdowns that used to appear under organic listings, they're gone as of May 7th. Now, here's why this is a big deal. FAQ schema has been one of the most recommended SEO tactics of the last five years. Every SEO audit, every content brief, every how to optimize your blog post checklist, all of them had FAQ on it. It became the digital equivalent of putting Cilantro on everything. And the SEO industry, as always, has split into two over-corrected camps here. Camp 1, schema is dead, rip it out, structured data is a waste of time. Camp 2, FAQ schema matters more than ever for AI search, double down, schema everything. Neither of these takes is is correct, but let me walk you through what actually happened and what you should do. This deprecation isn't sudden. It started in August 2023 when John Mueller from Google announced that FAQ rich results would only appear for well-known authoritative government and health websites. That's a quote. For most of the web, FAQ rich results have already been gone for nearly three years. That May 2026 announcement, it removes them for the last group that still had them, the government and health sites. So if you've been watching your FAQ rich result impressions in Search Console, they've probably been near zero for a while. This update just kind of makes it official. But Google included one sentence in their notice that completely changes how this should be read. Google states that will continue to use FAQ structured data to better understand pages, even though it will no longer display the rich result. Let me say that again. Google is killing the display feature. We can have a funeral for that, but it is not killing the markup. Schema markup tells Google what a page is about in machine readable form. Rich results are the visual SERP element that uses some of the structured data. These are two different things entirely, and marketers have conflated them for years because they happen to come bundled together. Now they're being unbundled in public. Here's what this means for AI search visibility specifically. That comprehension layer is still there. Pages that Google understands clearly are still the pages that get retrieved for relevant queries that get cited in AI overviews that contribute to entity recognition across AI retrieval systems. FAQ markup that accurately describes real questions and answers on your page, it is still doing the real work. What's gone is just that visual reward in the SERP. So here's what you should actually do. I'm going to give you this in three pieces because I want this to be useful, not just informative. One, do not go and rip out your FAQ schema. If your markup describes real questions and real answers that are actually on your page, please leave it alone. Google has confirmed unused structured data doesn't cause problems for search. Other engines in AI retrieval systems will continue to parse it. Two, do rip out your FAQ schema if it was thin, fake, or describes content that doesn't exist on the page. If you added that markup on the product pages to gain a SERP drop down and the questions are stuff no real person ever asks, go fix that. It is not helping you anywhere anymore. And AI engines are getting smarter about pattern matching low quality schema. Three, update your reporting. If you have dashboards, search console API polls or big query exports tied to FAQ rich result data, you'll have until August 2026 before those calls start returning nothing. So get ahead of that now. Now, bigger lesson here, and this is a real lesson I want to cover in this story, the real reason, is what it tells you about how to think about AI search optimization in general. FAQ schema was a tactic, it's a checkbox. Add FAQ schema to all blog posts, done move on. We've talked about this on the on the podcast here. This is one of the things that you can add to start appearing inside of those AI answers. It's a pretty easy fix. The FSA framework though, freshness, structure, authority, it's a mental model. And the reason why I created that instead of a checklist is because of this. Tactics change, display features get retired, algorithms change. But those underlying principles do not. Freshness still matters because LLMs reward sites that are active. Structures still matter because LLMs reward content they can live cleanly. Authority still matters because LLMs reward entities they recognize across the web. The brands that build or build FAQ sections because they generally answered weird questions, those are still doing the structural work. Leave them. AI engines love them. But the brands that just added them on just to like gain of system, those are not doing anything. Those are not doing anything. So that's the lesson here. Build for the principles. Tactics are temporary. They're gonna change and they're gonna continue to change as AI search optimization matures. So let's zoom out. We have two stories and one through line. OpenAI built a real ad platform, which means the clock is officially ticking on the free organic citation window. Every brand is currently operating inside. And Google killed an SEO tactic that millions of pages were built around, while making it clear that the underlying understanding signal is still doing the work. Both of these stories are telling you the same thing. Shortcuts are running out, the display features are getting retired, the free placement window is closing, and what's left, the only thing that's left, is whether AI engines actually understand who you are, what you do, and why anyone should trust you. That's the FSA framework in a nutshell. Fresh enough that engines know you're active, structure enough that they can lift your view cleanly, authoritative enough that they can recognize you across the open web. None of these things can be bolted on, they have to be built together. If this episode helped you make sense of the week, hit subscribe. And if you've got 30 seconds, I would love it if you would leave a review. It genuinely helps show get in front of more marketers and founders trying to navigate this stuff. And if you're staring at your content strategy this week and thinking, okay, where do I even start with all of this? Head over to CassieClarkmarketing.com to get an AI search visibility audit. We'll show you exactly where you're showing up, where you're invisible, and what to do to fix it. Alright, that's it for this week. I will see you in the next episode. Until then, stay visible.