Differences in Brand Recommendations Across Top AI Engines

Differences in Brand Recommendations Across Top AI Engines

👤Author: Claudia Ionescu
📅 Date: 29 January 2026

Something subtle but important has changed in how your brand gets discovered. Prospects are no longer starting with a list of links. They are starting with answers from the top AI Engines.

They ask ChatGPT for recommendations. They read Google AI Overviews instead of scrolling. They trust Perplexity to summarize the “best options” in seconds.

And in those answers, only a handful of brands appear.

The uncomfortable question is simple.  Is your brand one of them?

This article breaks down how three major AI systems decide which brands to mention, why they behave differently, and what that means for your visibility as a B2B company.

The shift from search results to selected answers

From SEO to GEO: How to Stay Visible in the Age of AI Search

Traditional search rewarded visibility. You could rank on page one and still win attention.

AI driven interfaces reward selection. Either your brand is mentioned, or it is not.

There is no second page. No scrolling. No alternative angle.

These systems act less like directories and more like editors. They evaluate sources, filter options, and present what they believe is credible and relevant.

Understanding how they make those decisions is now part of modern B2B marketing.

ChatGPT selects brands like a cautious advisor

ChatGPT behaves like a well informed consultant who relies on accumulated knowledge rather than live browsing.

Its responses are shaped by patterns in high quality content, repeated mentions, and long standing associations between brands and categories.

When ChatGPT includes a brand, it usually does so because:

  • The brand appears consistently in authoritative publications
  • It is clearly associated with a specific category or use case
  • It has been referenced over time, not just recently

ChatGPT values familiarity and credibility. It avoids uncertainty.

If your brand has appeared across expert articles, in depth guides, interviews, and trusted comparisons, it becomes part of the model’s “safe set” of answers.

A useful question to ask yourself is this:
If someone researched your industry for years, would your brand repeatedly appear in credible contexts?

If your presence is limited to your own website, the answer is likely no.

Google AI Overviews prioritize authority and structure

Google AI Overviews are built on top of Google Search, but they operate with a different objective.

Instead of ranking pages, Google synthesizes information into a single response. To do that, it selects sources it already trusts.

Brand inclusion here depends heavily on:
• Topical authority across multiple pages
• Clear and structured explanations
• Consistent messaging aligned with search intent

Google prefers brands that explain concepts clearly and thoroughly, not those that simply promote offerings.

  • Content that performs well in AI Overviews typically:
  • Answers specific questions directly
  • Uses structured formatting and clear language
  • Appears across multiple reputable domains

Google is not evaluating creativity. It is evaluating reliability.

If your content reads like marketing copy rather than an explanation, it is far less likely to be included.

Perplexity favors relevance and citation

Perplexity operates closer to how a human analyst researches.

It openly cites sources and values content that addresses questions directly, even if the brand is not widely known.

Perplexity tends to surface brands that:

  • Appear in articles answering specific questions
  • Are referenced in recent and well reasoned content
  • Contribute to a clear explanation or comparison

This makes Perplexity more open to emerging or niche brands, provided they show up in the right context.

If your brand appears in a thoughtful industry article that explains a problem clearly, Perplexity is willing to include it.

The key difference here is emphasis. Reputation matters, but relevance often matters more.

One question, three different selection patterns

Consider a common B2B query:
“What tools help companies improve lead qualification?”

ChatGPT will likely mention established platforms it has seen repeatedly in authoritative sources.

Google AI Overviews will summarize information from top ranking, well structured pages and include brands that consistently appear in trusted content.

Perplexity may reference a recent article or comparison and include brands that are contextually relevant, even if they are less well known.

Same question. Different logic. Different outcomes.

This is why a single content strategy is no longer enough.

Signals that influence brand selection across all platforms

Despite their differences, these systems share common evaluation signals.

Across different AI engines, brands are more likely to be selected when they demonstrate:

  • Consistent presence across credible third party sources
  • Clear association with a defined category or problem
  • Content that explains concepts, not just products
  • External validation through mentions, interviews, or comparisons

What matters less than many expect:

  • Catchy slogans
  • Aggressive claims
  • One off campaigns

These systems reward clarity, repetition, and context.

A practical self assessment

To understand where your brand stands, consider these questions.

  • Would an AI tool encounter your brand outside your own channels?
  • Are you mentioned in articles that explain your category, not just your solution?
  • Do third parties reference your perspective, data, or expertise?

If the answer is often no, your visibility gap is not technical. It is contextual.

What B2B teams should focus on now

This is not about chasing algorithms. It is about shaping understanding.

Priorities should include:

  • Creating content that answers real buyer questions in plain language
  • Building presence in credible industry publications and analyses
  • Contributing insight even when your brand is not the main subject

When AI systems try to understand a topic, they look for signals of clarity and authority. Your role is to provide both.

The question that matters most

AI tools are becoming the first place buyers go for guidance.

When that happens, are you helping shape the answers, or leaving that to others?

Visibility in this new landscape is not about being louder. It is about being clear, consistent, and present in the right conversations. Register for our upcoming webinar From SEO to GEO: How to Stay Visible in the Age of AI Search, where we’ll cover practical ways of getting your company recommended by AI!

Increase your search visibility with generative search optimization

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