1 Bold Step

Why AI Doesn't Recommend Your Company (And What to Do About It)

Written by Tom Zelinsky | Mar 23, 2026 2:12:10 PM

You've been in business for years. You've got a solid reputation and loyal customers. But SEO has always been a tough nut to crack. The same companies have dominated the best search terms for years, and breaking through feels impossible.

Now AI has been added to the mix. And it plays by completely different rules.

When someone searches Google, they get a ranked list based on over 200 ranking factors, including keywords, backlinks, and domain authority. When someone asks ChatGPT or Perplexity for a recommendation, AI evaluates who to trust — and builds its own answer.

That means when a prospect asks for recommendations in your space, you might show up described in a way that isn't what you do. Or worse — you don't show up at all.

We see this constantly when we run our visibility exercise in growth workshops with B2B leadership teams. All too often, they see the results and say, "That's not who we are at all."

That's a frightening realization. If potential clients don't recognize you — or worse, can't find you — they won't buy from you.

But here's where it gets interesting.

The scrappy competitor with a small budget can own the AI snippet. Do it right, and you've got a real opportunity to show up instead of the big company that has owned the Google rankings for the last decade.

There's a reason this is happening. The old rules — domain age, backlinks, years of content — don't determine who AI recommends. The map is being redrawn, and the companies that understand how AI evaluates and recommends will claim the best ground regardless of who owned it before


The Map is Being Redrawn

Think about SEO circa 2005. The companies that got in early staked their claim before the territory filled up. They built advantages that take their competitors years to overcome, even today.

That’s how AIEO (AI Engine Optimization) feels right now. There’s a rush to get established and work with these new tools. But no one can own the AI landscape. It continuously evolves while bringing new and better sources to the forefront.

Your big opportunity lies in this fluid situation. The competitors who've outranked you for years don't automatically win with AI. Their keywords, domain authority, and SEO don’t have nearly the same authority here.

You’re no longer locked out of the top spot.

Research from Mike King at iPullRank shows roughly 25% overlap between Google's top rankings and AI recommendations. A follow-up study from Profound Strategy put the number closer to 39% when tracking how AI tools expand queries behind the scenes. Either way, the majority of what AI recommends has nothing to do with Google rankings.

The territory is open. But it won't stay that way. That doesn't mean your SEO investment was wasted.


AIEO Is Not SEO with a New Name

Does that mean SEO is dead?

No. SEO still matters. One of our clients has closed over $400,000 in revenue from their SEO efforts in 2025. But AIEO operates differently, and understanding how it's different is the key to showing up.

SEO is keyword-based. You target a phrase, optimize a page, and hope to rank. AIEO is conversational. People don't type three-word queries into ChatGPT. They describe problems. They ask for recommendations the way they'd ask a trusted colleague.

That’s a fundamental shift in searching.

AI tools don't just match keywords. They evaluate whether your content is structured in a way they can actually use, whether they can understand who you are and who you serve, and whether you have the credibility to back up what you claim.

It comes down to three tests AI runs on every piece of content you publish.

 

Three Pillars That Determine Whether AI Recommends You

Deliverability: Can AI actually use your content?

AI pulls short passages, not entire pages. If your content is written in long, dense blocks that cover multiple topics, there's nothing clean for AI to extract.

The fix is structural.

  • One topic per section.
  • Short paragraphs.
  • Clear headings that signal what each section covers.

Good writers have always done this. The difference now is that AI measurably rewards it.

Understandability: Does AI know who you are and who you serve?

This is where we see companies fall short most often.

They describe themselves one way in conversation and a completely different way on their website. It's like introducing yourself differently to every person at a networking event. In the end, no one knows who you are.

AI has the same problem if your homepage says you offer "innovative solutions for modern enterprises," but your blog says you help manufacturers reduce downtime. AI doesn't know which version to trust, so it won’t pull either one.

Your entire organization needs to be able to say what you do, who you do it for, and what problem you solve. Then use the same language across your website, social profiles, and directory listings. AI reads all of it.

Red flag: If your sales team describes your company differently than your website does, you have an understandability problem.

Credibility: Why should AI trust you enough to recommend you?

AI looks for evidence like case studies, reviews, awards, certifications, and leadership credentials. This is the time to brag about yourself. If you've earned any awards or certifications, you need to display them. The same things that build trust with humans build trust with AI because AI is trained on what humans find credible.

This extends beyond your website. Your Google Business Profile, LinkedIn presence, trade publication features, podcast appearances — anything that links to your organization's online presence — can be used to evaluate your credibility across your entire digital footprint.

Two practical notes:

If your case studies are gated behind a form, AI can't read them. Most of your prospects won't bother either. Asking someone to trade their contact information for proof that you're good at your job is like requiring a form before you'll show them your references. Nobody wins that exchange.

Sometimes you will have great case study material, but not permission to use the client’s name. But you can work around that if you have to. "How we helped a healthcare manufacturer reduce lead time by 30%" still builds credibility, even without a logo attached.

 

Don't Blow Up What's Working

AIEO is a real shift in how buyers find and evaluate companies. It deserves your attention. But it's not a reason to abandon your current marketing strategy or chase random acts of optimization because one AI search spooked you.

The smartest approach is integration. If you're already updating a landing page for a campaign, apply AIEO principles to that page. If you're writing a new blog post, structure it for passage-level readability. If you're refreshing your website messaging, make sure AI can understand it too.

The map is being redrawn. The companies that stake their claim now — not by starting over, but by building smarter on what's already working — will own the ground that matters.