How AI Decides Which Brands Get Found (and Which Ones Get Skipped)

Before someone ever visits your site or picks up the phone, LLMs like ChatGPT or Gemini may have already given a verdict on your brand. These LLMs often rely on second-hand information about your brand from random Reddit threads, old angst-ridden comments on YouTube, or analyst quotes you never knew existed. And the worst part: you’ve lost a potential lead before a single interaction even took place.

This isn’t a tomorrow problem. It’s happening right now around the globe.

The new buyer journey just skipped your website

At a recent Sprinklr (virtual) roundtable of senior marketing and digital leaders — spanning food services, financial services, technology, and life sciences — one observation set the tone for the day’s proceedings.

A B2B marketing leader working at Thermo Fisher Scientific Inc. noted this about LLM-powered search: "We're kind of moving to the zero-click world, where people don't come to our websites." The search–click–compare process you built over years is being replaced by a single typed question: “What’s the best option for…?” The model answers. A list appears.

If your name isn’t on that list, the sale will never start. AI models give little weight to the content on your polished About page. From their point of view, crowd chatter and independent reviews matter more. So, if you only nurture owned channels and don’t keep a watch on what people are saying about your brand on third-party sites, you’re already behind.

The missing metric

Most brands have yet to figure out a way to track how often AI tools mention them. “Forums like Reddit, LinkedIn, YouTube are kind of becoming more and more of a trusted data source for these LLMs. So, we are already seeing a lot of brands, even though they don't have a way to measure, trying to have a lot of their content and their presence across these various forums established in parallel right now,” said Anish Chadda, VP of Product Management at Sprinklr.

The leader from Lenovo at the gathering had a solution to this problem.

He offered what his team calls the AI Inclusion Rate, i.e., how many times the brand appears in 20–50 real buyer prompts typed into ChatGPT, Gemini, or similar LLMs. It’s manual and tedious, but it’s a good start, nonetheless.

Meanwhile, a new question is already muddying the water: paid placement inside LLM responses. AI companies are starting to offer promoted slots — SEM logic but buried inside an AI model's answer. The roundtable participant from Cox Communications called it out: "There's kind of like a yuck factor to it." Others in the room drew the parallel to early Google — not surprised, not happy, and watching to see who blinks first. Crawford reiterated what's actually at stake: "If you aren't showing up and other organizations are leveraging the paid responses and are appearing before you... if you want to compete and that's the next level, then maybe that is what needs to be incorporated into a strategy."

Whether we like it or not, the paid-vs-organic battle is starting over. Start building a measurement framework now — even a rough one — before the only option left is paying for the visibility you could have earned.

What actually sways AI results

Adding more content doesn’t help. Many brands that blasted out auto-written posts saw their visibility drop. The models learned to ignore the noise.

Real impact comes from where genuine interactions take place.

• Forums matter most. JP Morgan spent four months building a Reddit presence for their credit cards. Not ads. Not bots. Real employees answering real questions in r/CreditCards and r/personalfinance. When someone asks ChatGPT about travel rewards cards, Chase Sapphire now appears 40% more often than six months ago.
• Other people's words beat yours. A Forrester analyst mentioning your product. A customer explaining your solution on Stack Overflow. A reporter quoting your CEO about supply chain issues. These citations train the AI. Your marketing copy doesn't.
• YouTube captions. The surprise winner! Chadda said: "YouTube's the second most cited source after Reddit." That 47-minute webinar you recorded in 2023? If it doesn't have captions, it doesn't exist. One B2B software company added captions to 200 videos and saw their AI mentions jump 31% in two months.
• Same story everywhere. If your LinkedIn posts say "enterprise-grade security" while your Reddit comments and support docs say "bank-level encryption" and "military-grade protection," the AI sees three different companies and recommends none of them.

The throughline is consistency. Chadda observed: "The more consistent the brand voice across these different forums, I think the higher the pattern recognition is across these LLMs to then showcase your result in the AI searches." The leader from Lenovo put it in concrete terms: "If you have the same message across 25 different channels, then the LLM's going to be able to pull and quantify and show that much easier."

The org question you're probably not asking yet

SEO, social, content, product marketing, customer support — every one of these functions generates signals that LLMs learn from. Unfortunately, in most organizations, these business units rarely interact with each other.

The companies moving fastest aren't restructuring wholesale, they're aligning these teams around a single content and signal strategy, with someone accountable for what the brand looks like across the entire public web, not just the owned channels.

The barriers are real and they're the same across every industry: data scattered across too many systems, governance processes built for quarterly cycles trying to keep up with a technology that evolves every fortnight, and teams that need skills which didn't exist in any job description two years ago. A senior management executive from Dell Technologies said: "It's less about steering a narrative and more about just protecting facts and truth." That's the job. Not crafting a perfect brand story for AI to tell but making sure what AI already knows about you is accurate, and when it's wrong, which it will be, you have a team positioned to fix it.

The fight for shelf space no one sees

AI shopping bots that recommend products to consumers are slowly but surely gaining momentum. When they become common, the brands that show up first will be the ones already minding the small details: fixing captions, joining real discussions, keeping testimonial data current.

Yes, the coming wave of AI‑mediated buying won’t reward who shouts loudest, it’ll reward who shows up honestly and consistently. Forget gaming an algorithm, instead craft every post, reply, and review to tell the same real story. Audit where your name actually appears, not just where you wish it did. Because the era of endless content is over and the era of verified presence has begun. If you want a place in tomorrow’s search box, build that truth into every corner of the internet today.

What can you do right now? Open ChatGPT. Ask the question your ideal customer would. Read the answer. That's your reality. Fixing it starts today.