5 Factors That Decide Whether AI Recommends Your Business

Open ChatGPT or Claude and ask either one to recommend the best company in your category. Then read the answer. If you’re not in it, you already know the feeling. You have happy customers, a good website, and maybe even some great media features. But the tool your buyers now turn to for recommendations doesn’t seem to know you exist. Here’s what changed. AI search tools are becoming the new front door of the internet. People don’t “Google” things the way they used to, sifting through pages of links to find the one that’s relevant. They ask, get an answer with recommendations, and decide. AI tools pull those answers from third-party, trusted, credible sources. Not your ads or your social posts, but the stories a journalist chose to write because it was interesting and credible. The umbrella term for all of this is generative engine optimization, or GEO. Think “the new SEO.” If it helps, picture it like a recipe: press coverage is the protein, but you still need the rest of the ingredients. Here are the five layers that help AI models decide which brands to recommend: 1. Earned media AI tools treat editorial coverage in high-authority outlets the way we used to treat word of mouth: as credible information. A journalist chose to write about you, and that carries weight no ad or social post can replicate. Your coverage should hit three things: recent, relevant, and reputable. Ask yourself: How much coverage have you landed in the last 12 months? Is it tiny blogs, or real mid-tier and top-tier outlets? And when you show up, are you quoted as an expert or just named in passing? Those aren’t the same value to an AI answer engine. 2. Digital footprint consistency This one trips people up more than you’d expect. Your website calls you a wellness entrepreneur. Your LinkedIn says certified nutritionist and speaker. Your press bio says nutrition expert and author. None of those are wrong, but to an AI model trying to build a clear picture of you, it’s confusing. Think of it like everyone reading from the same one-page bio. When your story is told the same way across your website, LinkedIn, press, and social, AI can describe you confidently. When it’s inconsistent, AI gets tentative, and a tentative model doesn’t recommend you. Your tone can shift from platform to platform, but your positioning can’t. Keep your bio and byline consistent everywhere you show up. 3. Reviews and community presence AI reads Reddit, forum threads, Google reviews, and it’s checking whether what the media says about you matches what regular people say in their own words. Land a great feature but let your Google reviews go stale, and that’s fighting your messaging. The fix isn’t glamorous: Ask new customers for reviews so the old ones get diluted and pushed down. 4. Topical authority Ask ChatGPT to provide a list of the top gut health experts. It surfaces the people cited repeatedly, across multiple sources, on that exact topic. This is what we’ve always called thought leadership. What’s new is that it’s now measurable. So, pick your thing. One brand I work with makes breast pumps, and their entire promise is more milk in less time. It’s the tagline, the blog positioning, and most of their press coverage. AI has started recommending them that way when breastfeeding moms ask for the most powerful pump. The test: If AI read everything published about you, would it land on a clear sense of what you’re known for, or a muddy picture of someone featured 10 different ways? 5. Freshness and structure AI favors recent information. If your last press hit was two years ago and your blog’s been quiet for three, AI isn’t seeing you. Structure gets technical, but you don’t need to become a developer. Just know AI reads your website differently than people do. It wants clear, direct language that answers real questions. A beautiful site full of vague brand-speak is harder to parse than a plain one. “We empower visionaries to unlock their potential” tells AI nothing. Say who you help, how, and why you’re qualified. Why you can’t wait for the analytics Someone asks ChatGPT for the best moisturizer for dry skin, gets a recommendation, makes up their mind. Then they close the window, Google the brand name, and buy. Your analytics logs that as “direct traffic” or “branded search.” Nobody sees the AI in the middle of it. The industry calls this dark search, dark AI, and the attribution gap. Pew Research Center found that once a Google AI summary appears, people click a search result only eight percent of the time (down from the standard 15 percent) and click a link inside the summary just one percent of the time. The answer is now the search term. So set a baseline this week. Block half an hour and run an AI visibility audit on your brand with these five steps: 1. Open an AI tool you want to appear in and ask the questions your customers would. 2. Ask the models what it says about you. 3. Screenshot what comes up. 4. Note anything inaccurate, missing, or surprising. 5. Work the five layers. The effort you put in now builds groundwork you can’t see yet. Document your baseline now, so you can prove the movement later. BY JENNIFER BERSON, FOUNDER @JENERATIONPR