• AI

Search, Summaries & Storytelling: Full Funnel Impact in the AI Era

Explore the shift to AI-driven synthesis and how brands must adapt to win both bots and buyers.

By Faye Liddle-Moore - VP, Integrated Solutions, Teads
June 8, 2026
Person facing a digital world map with floating ad screens and brand messages, illustrating brand influence in the AI era.

At the Google I/O 2026 keynote last week, the search giant didn’t just announce an update; it issued a final eviction notice to the internet as we’ve known it. For twenty-five years, we lived in the era of “Retrieve-and-Rank”—the classic ten blue links. Now, Google has declared that world is officially extinct.

We’ve transitioned into the era of “Retrieve-and-Synthesize.” Google is no longer just a librarian handing you a book; it’s a researcher that has already read the library for you and summarized the answer into a single paragraph. For brands, the mission has shifted from winning a click to winning Influence. 

But here is the twist: in the AI era, Brand influence has a dual purpose. You aren’t just influencing the human; you’re influencing the machine that talks to the human. To do that, you have to diversify your channels of influence—not just where people search, but everywhere they live.

The Dual Front: Influencing the Bot and the Buyer

Modern influence is a two-front war. On one side, you have the AI Personalities—the “researchers” who need high-quality data to synthesize your brand story. On the other, you have the Human Experience—the users browsing the open web, watching TV, and scrolling social media.

If you aren’t visible in the “real world” outside of search, the AI won’t have anything to talk about. These engines aren’t creative; they’re mirrors. They reflect the influence you’ve built across the wider ecosystem.

  • ChatGPT (The High-Brow Intern): Think of ChatGPT as the intern who spends all morning scrolling The New York Times and The Guardian.” This is the go-to for Gen Z (31% of queries). It’s a journalistic snob that hangs out in premium news cycles. If you aren’t influencing the narrative in high-end editorial, you don’t exist to ChatGPT.
  • Claude (The Academic Gatekeeper): Claude is the librarian who will only cite you if you have a peer-reviewed paper or a deep-dive white paper. It has a physical allergy to social media fluff. If you want Claude to recommend you, you need high-authority editorial weight.
  • Perplexity (The Vibe-Check Private Eye): This is the digital detective. It scours Reddit threads and community forums to see what real people are actually saying. If your brand looks great in ads but is getting roasted on a subreddit, Perplexity will find the receipts. It’s looking for the “authentic” consensus you’ve built on social platforms.

The Hybrid Trust Model: Why “The Receipts” Matter

Here is the clever part: users aren’t blindly trusting the bot. We are seeing a Hybrid Trust Model emerge. While the AI provides the quick summary, high-intent users—the ones actually ready to buy—are increasingly looking at the citations to validate the answer.

They want the “source of truth.” This is why the Premium Publisher Ecosystem is now the most valuable real estate on the planet. LLMs trust these environments because they are editorially vetted; humans trust them because they provide the context a bot cannot. When a user clicks a citation to see your brand featured in a premium publication, highly reviewed, tested and trusted – you’re not an ad— you’re a verified endorsement.

Feeding the Funnel: Different Moments, Different Fuel

In the AI era, the full funnel matters more than ever, but the “fuel” you feed the engine must change based on the moment. 

For Brands;’ focusing on where and how you need to show up in the real-world, impacts the machine presence: 

  1.  Discovery (The Upper Funnel): The AI is deciding who you are. For Brand’s, in this channel, awareness is all about winning the AI’s Trust. In the Discovery phase, LLMs fundamentally rely on Earned Media—news, reviews, and editorial coverage from premium publishers—as their verified ‘source of truth.’ This isn’t a preference, its a mandate. 61% of AI responses regarding brand reputation come from editorial media. This reliance on premium publishers increases significantly based on user intent, jumping to 65% for trust-related queries and 72% for value perceptions*. To be the answer in the AI Era, your brand story must be validated by trusted, third-party credentials. 

(*SOURCE: Bubble PR/PR Week) 

  1. Decision (The Bottom Funnel): When a user asks “should I buy X?”, models like Gemini pivot. They look for your official brand content, structured data and pricing tables to close the deal. This is the rise in AEO strategies we are seeing: Brands reshaping their own content to ensure the answer satisfies the buy/not buy calls that almost half of global consumers are using these platforms for. This strategic shift is reflected by the fact that 94% of enterprise CMOs plan to increase their investments in AEO/GEO throughout 2026, driven by the unmissable fact that AI search traffic converts at 14.2%, which is five times higher than traditional organic search (2.8%).

(SOURCES: The State of AI Visibility 2026 and AI Search in 2026: Statistics, Trends & What’s Next) 

The Bottom Line

Success in the “Answer Era” isn’t about chasing a new algorithm; it’s about diversification. Showing up when it matters; Brand Stories woven into the very fabric of the AI’s “truth.”

If you want to own the answer, you have to fuel the engine with quality. The blue link is gone, but the power of a great story, told in the right place, has never been more important.