Why Brands Are Losing Traffic to Google AI Overviews And How to Win Back Visibility
Jun 23, 2025 • 4 Minute Read • Tod Szewczyk, VP, Services marketing

Search results used to be about options—offering a list of blue links to sift through. Now, it’s about instant, trusted answers.
For brands, if you don't structure your content for AI search tools to find, parse, and trust, you risk being invisible.
This shift isn’t just about technology getting smarter—people changed first. We should have seen this coming.
We live in a “convenience economy” where speed, ease, and frictionless experiences are non-negotiable. A 2024 Morgan Stanley survey found that 77% of U.S. consumers say inconvenience is a deal breaker. Whether shopping or researching, the expectation is to make it easy for the consumer.
Think about it: mobile tech put the world in our pockets. Computer vision lets us shop just by walking out the door. Now, AI-powered answer engines are changing search. They simplify things and provide what people want, when they want it.
The internet can seem like a digital jungle filled with a million blue links. It can be messy and overwhelming. Tech giants, like Google, kept innovating, but the experience often fell short of expectations.
Today, AI search is the natural next step: from digging through links to simply asking for and receiving the answer instantly.
In this new world, structuring your content for AI is essential to remain visible and competitive. This guide will show you how to prepare AI-ready content, become visible in trusted ecosystems, and measure success in new ways.
Like water flowing down a river, people want the fastest path to answers, and AI has quickly become the shortcut of choice.
A widely cited Spark Toro study shows the relentless pace of change. In 2024, over 60% of searches ended without a click. Consumers are getting the information they need and moving on. And increasingly, they're turning to AI to get there.
Attest's second annual report on AI shows that 49% of U.S. consumers use AI tools to research a purchase.
The shift is even more pronounced in B2B. However, B2B buyers are still clicking. According to TrustRadius, 72% of B2B buyers encounter AI-generated summaries, like Google AI Overviews, during research, and 90% still click through to verify sources.
Buyers want immediate answers, but they still value verification and deeper exploration. It's no longer just about where they find the answer; it's also about how fast they get that answer and whether they can trust it once it's there.
AI tools like Perplexity, Gemini, ChatGPT, and Microsoft Bing's Copilot are changing how B2B buyers research, compare, and shortlist vendors. These tools generate answers and pull from trusted sources across the web.
This transformation is accelerating rapidly. At Google I/O 2025, "Search Live" revealed a glimpse into what's next: point your phone at a product and get instant, AI-generated context. These contextual insights mean no scrolling or scanning, just answers.
What matters today isn't ranking; it's being cited. If your content isn't structured for machine interpretation, you're not even part of the consideration set.
The buyer journey now starts with questions AI tools are trained to answer.
Are you prepared to rethink how you approach content strategy and search optimization for AI interpreters?
AI scans, parses, and pulls from what it can identify, so you'll need to structure your data and content for AI machines to understand.
Here's why it matters and what to do:
Large language models (LLMs) like ChatGPT and Gemini rely on clear signals to know what content to access and trust. The proposed llms.txt standard will let you signal which parts of your site—like white papers or product sheets—are AI-accessible. This means you can guide AI directly to your highest-value content.
To ensure machines interpret your content correctly:
AI favors trustworthy sources and cites reputable B2B sources like Crunchbase, LinkedIn, Wikipedia, and G2, which are platforms that are part of trusted knowledge graphs.
Knowledge ecosystems are the trusted hubs AI relies on to gather and verify information about your brand and products. If you’re not in these ecosystems, you won’t show up.
AI search leans heavily on high-authority repositories and cross-format signals. It prioritizes content from authoritative, well-structured, and frequently updated sources because these provide the trustworthy signals that shape AI-generated answers.
Here's how to show up effectively:
AI tools scan all these resources to understand your solutions and capabilities, because AI discovery depends on authority and accessibility. Show up where it's looking and make it easy for it to understand what you do.
Clicks don't tell the full story. Just because someone didn't click doesn't mean they didn't choose you. Traditional metrics miss the growing influence of AI-mediated discovery.
AI is changing how buyers discover and choose brands. Your measurement strategy must evolve with it.
Traditional SEO is set up for crawlers and keyword rankings. Today's search environment demands content that's indexable, understandable by AI, and valuable enough to be cited in real-time responses.
These three steps above are just the beginning. Winning in AI-powered search requires ongoing , faster iteration, and strategic alignment with optimizing for summaries, citations, and trust.
We’re entering a visual-first, answer-centric era of discovery in which search happens across formats, devices, and tools—often before the user even lands on your site.
So your content needs to:
As stated, we should have seen the shift coming. And if you're wondering what's coming next, my prediction is an even more visual, conversational, and intelligent search experience.
Ready or not, AI search is here. It's already shaping audience behavior. But you don't have to figure this out alone. From strategy to schema, visibility to verification, we can help.