Latest / Answer Engine Optimization (AEO): The AI Search Podcast / Exa + Gemini: Why Google Needs a Third-Party Search
Transcript
- [Host] Welcome to the A.E.O. Engine AI Search Show — the number one podcast for brands looking to get cited by ChatGPT, Gemini, and Perplexity. I am your host, Aria Chen. Every day we bring you fresh episodes on A.E.O. tactics, S.E.O. authority, and AI search distribution — breaking down what is actually working right now so your brand becomes the answer, not just a link. [Host] Today we are talking about a partnership that made a lot of people in tech do a double take. Google — the company that invented modern web search — is partnering with a search startup called Exa to power its Gemini models. And I have Marcus Reid with me to make sense of it. Marcus, welcome to the show. [Guest] Hey everyone, glad to be here. I’ll admit, when I first saw the announcement I thought it was a parody account. Google paying a startup for search? That is either brilliant or bizarre. [Host] Let’s start with the thing every marketer and founder feels right now: you type a query into Gemini and sometimes it just… shrugs. It gives you a generic answer or, worse, says it can’t access current info. There is this quiet frustration — like your assistant is smart but has no internet. And then you hear that Google went and licensed someone else’s search engine. That feels like admitting your own assistant has a blind spot. There is actually a name for what Exa does — they call it agent-first search. And that is the framework we’re going to unpack. [Guest] Exactly. Exa’s whole pitch is that their index is built not for a human browsing the web, but for an AI agent that needs structured data — people, companies, code, research papers. Google’s index is phenomenal for humans, but it is messy for machines. Exa treats the web like a database. [Host] So what actually happened? On April 1st, 2025 — no joke — Google announced Grounding with Exa Web Search as a private preview. Then at Google Next, Exa was featured as a launch partner on the new Gemini Enterprise Agent Marketplace. The idea is that Gemini models can now pull from billions of websites, technical docs, papers, and more through Exa’s index. [Guest] And the reaction was split. The most re-tweeted take came from developer Jacob Lee, who basically said: no shade to Exa, but this is an absurd thing for Google to do. Whoever runs partnerships at Exa deserves a gigantic raise. That captures the whole tension. [Host] Right. Google owns the largest search index on the planet. Why would they need a third party? Let’s dig into the how. Exa’s technology is different. They index the web in a way that prioritizes entities and attributes — not just keywords and links. So when a Gemini agent needs to find a specific chief technology officer at a startup that just raised a Series B, Exa can return that in a structured format. It’s not crawling the whole page; it’s pulling the fact. [Guest] And that matters because Gemini Enterprise is built around agents that do tasks. The partner-built agents program lets companies build AI modules that query databases, monitor resources — all through natural language. Exa gives those agents a live view of the web that is more queryable than Google’s general index. The Google Cloud blog specifically says Exa Agent gives workers a live web view, turning it into a searchable database of code, people, and companies. [Host] So the why — why does this matter beyond the tech drama? Well, for one, it signals that Google recognizes a gap. The community has been critical of Gemini’s real-world performance. There’s a Reddit comment that says — and I’m paraphrasing — the open source Qwen model you can run on a MacBook is often more reliable than Gemini for productivity work. That stings. If the model itself isn’t trusted to give current, accurate answers, then bringing in a specialized search engine is a way to paper over that weakness. [Guest] But it’s also strategic. Google is both a search competitor and a customer of a search startup. That creates an odd dynamic. Some observers think it’s a defensive move — if they don’t provide the best grounding for AI agents, enterprises might switch entirely to third-party providers. Others see it as a potential acquisition trap — evaluate Exa’s tech, then buy them. I actually don’t know if this holds in six months. The partnership could dissolve if Google builds its own agent-first index. [Host] I’m going to disagree slightly. I think Google is admitting that building an index for humans and an index for AI agents are fundamentally different problems. They could have built this in-house, but that would take years. Partnering lets them move fast. It reminds me of the early iPhone — Apple didn’t build its own maps app from scratch at launch. They licensed from Google. Later they built their own. This could be a temporary fix or a long-term integration. We’ll see. [Guest] That’s a fair point. And for brands listening, this matters because where your content appears in AI answers is about to get more complicated. Exa’s index prioritizes different signals — think structured data, entity recognition, author authority. If you’re optimizing just for Google’s web crawler, you might miss the agents that are powered by Exa. [Host] That’s the key takeaway for our audience. At A.E.O. Engine, we see this as another layer of answer engine optimization. It is not enough to rank on Google; you need to be the answer in Gemini, and now Gemini is using a different search engine to find those answers. That means your content needs to be structured for machines, not just humans. And that is where our always-on AI content agents come in — they build content with schema, entity linking, and citation-ready facts. If Exa’s index is looking for structured entities, we want our clients’ brands to be the primary entity returned. [Guest] I’ll push back a little — we are early. The Exa integration is still private preview. But the direction is clear: AI search is fragmenting. Google owns one index, Exa owns another, Perplexity uses its own. Brands have to win across multiple answer engines. That is harder, but also an opportunity for those who move first. [Host] Exactly. So here is what I want listeners to do: go to A.E.O. Engine dot A.I. and schedule a free strategy call. We’ll audit your current search visibility across Google, Gemini, and Perplexity. The first movers are already capturing 920 percent average traffic growth from AI search. You don’t want to be the brand that gets left behind because you were still optimizing for clicks instead of answers. [Guest] The wild part is this is still March — wait, April? Time is fake. The point is, these changes are happening week over week. If you wait six months to learn about Exa, you’ll be catching up. [Host] Marcus, thanks for the reality check. And thank you for listening. If you found this useful, share it with a colleague who still thinks S.E.O. is just keywords. We’ll see you next time. [Host] Head to A.E.O. Engine dot A.I. to book your free strategy call.