Google’s AI Is Watching Inboxes… Smart Brands Aren’t Stopping There

By Alexandra O’Neil

Google now lets AI Mode reference people’s inboxes when recommending answers, and that’s changing what shows up in someone’s results. When someone connects Gmail and Photos to Personal Intelligence, Gemini and AI Mode start using that personal history to shape the answers that person gets, including which brands get recommended to them. A new study by iPullRank decided to test just how much that actually matters, and the results should get any business owner’s attention.

TL;DR: A new study found that brand mentions in a connected Gmail inbox can significantly boost how often, and how high, a brand appears in Google AI Mode recommendations.

What Is Google Personal Intelligence?

Personal Intelligence is a new feature Google built into the Gemini app and AI Mode in Search. It’s opt-in, meaning nothing happens unless the user turns it on, but once someone connects apps like Gmail, Photos, YouTube, and Search, Gemini can pull from that personal history to give more helpful, tailored answers. Some potential examples:

• Ask about tire sizes for a minivan and it can pull specs from a photo.
• Ask for restaurant ideas and it might factor in a trip from two years ago.
• Ask for a gift idea and it might remember a hobby someone mentioned in an email.
• Ask what to pack for a trip and it might reference a hotel confirmation sitting in the inbox.

Google has said the feature is off by default, users choose what to connect, and there are guardrails around sensitive topics like health.

This is a very convenient feature for the person asking the question, and it’s a new variable for brands to keep in mind.

Does Gmail Actually Influence Which Brands AI Mode Recommends?

The iPullRank team ran a controlled test using three Google accounts: a blank control, a blank account connected to Personal Intelligence, and a long-standing personal account with years of real history. They seeded brand mentions into Gmail and Photos across eight categories, then ran the same prompts across all three and tracked what came back.

In the connected account, seeded brands went from showing up in 23.9% of responses to nearly 66.8% after seeding. They also moved up in the results, with top-three placement climbing from under 4.5% to almost 24.9%. 

What does this mean? This system is picking up on personal context and actively deciding who gets mentioned because of it.

Think about how many emails land in your inbox in a given week. From vendors, tools, brands you’ve bought from once, newsletters you forgot you signed up for. Based on this study, those emails could be shaping what Google’s AI recommends to you later, whether you’ve been clicking their CTAs or not. Visibility is now less about the click and more about the presence. Show up consistently, and you’re more likely to be in front of your customer when they’re ready to convert.

Why Did Email Beat Photos As A Brand Signal?

Brands that showed up in Gmail messages got mentioned in more than half of the relevant AI responses. Brands that only showed up in Photos barely made a dent, appearing in roughly one out of every ten. Makes sense when you think about it: a photo doesn’t really tell Google why someone likes a brand. But an email that reads like a recommendation, something along the lines of “this is a great fit for you because…”, gives the AI something much more concrete to work with.

The researchers even tested this with brands that don’t exist. Made-up companies, seeded only through email, still showed up in AI Mode recommendations. Real brands still performed better overall, likely because they also have an established presence across the web for the AI to draw from and cite. Search Engine Journal’s coverage of the study makes the same point: personal context didn’t replace web grounding. AI Mode still leaned on brand websites, product listings, and other web sources even when personalization was clearly in play.

What Does This Mean For A Brand’s AI Search Strategy?

With all of this information, you’d be inclined to believe that our advice is “start cold emailing!” but that’s not the case. Do NOT turn your inbox strategy into a spam cannon. That’s a fast way to get unsubscribed and lose whatever visibility you had. 

What this study actually points to is that useful, consistent communication through channels a brand already owns, like email, may now carry weight beyond opens and clicks. It’s one more reason showing up across multiple touchpoints matters more than chasing a single ranking.

This lines up with what we’ve said before about what it takes to show up inside ChatGPT Ads and other AI-driven discovery tools. Visibility isn’t about winning one channel anymore. Brands that stay present across connected TV, streaming audio, Meta ads, and digital out-of-home are building exactly the kind of broad digital footprint that AI systems end up referencing when constructing an answer.

How Should Brands Prepare For AI-Personalized Recommendations?

Here’s what brands should be prioritizing right now:

• Keep email content genuinely worth reading, since recommendation-style messaging appeared to carry more weight than generic promotions. 
• Invest in a strong web presence, since AI Mode still needs somewhere to point when it’s building an answer.
• Stop measuring success by any single channel. The brands showing up inside AI answers tend to be the ones showing up everywhere else too.

Floodlight Helps Brands Build Visibility Across Every Channel

From web content to personal context like Gmail, AI tools are pulling from more places than ever to decide what to recommend. That means brands can’t rely on a single channel or a single tactic to stay visible. A broader, more consistent presence matters more than ever.

That’s where an omnichannel marketing approach comes in. Floodlight offers programmatic marketing services, including ChatGPT Ads, Meta Ads, streaming audio, and connected TV, built to help brands show up consistently across the platforms their customers actually use. Staying visible across more channels builds the kind of brand recognition and trust that supports every part of a business, including how it shows up in search and AI-driven recommendations.