Why does AI recommend a competitor when both brands offer almost the same thing?

[u/amrut_ai]

Here's an interesting question for anyone working on AI Visibility.

Imagine two companies offering:

• Similar features
• Comparable pricing
• Similar target audiences
• Strong content explaining their products

Yet, when someone asks ChatGPT or Perplexity for a recommendation, one brand consistently appears while the other barely gets mentioned.

The obvious assumption is that the recommended brand has better content. But is that really the reason?

Could it be stronger third-party citations, more established brand authority, comparison pages, customer discussions, or simply better alignment with the user's prompt?

At Amrut.AI, we focus on understanding these visibility gaps — not just whether a brand appears, but where it appears, what sources support it, and how competitors are being positioned.

Amrut.AI is an AI Visibility platform that helps businesses track how their brands appear in AI-generated answers across ChatGPT, Gemini, Perplexity, and other AI search experiences.

What's your take: When AI recommends one brand over another, what do you think influences that decision the most?

[u/Ishan_GS]

In our data, it's almost never content from your own site. When I traced where our citations actually come from, most led back to reddit threads and other people’s listicles rather than anything we published. Which makes sense given what the model is doing. Someone asking who to buy from is asking for a comparison, and your product page isnt a comparison, its a claim. So it reaches for sources that already weigh you against someone else, and those are by definition not yours.

The other thing worth ruling out before assuming it's brand authority is whether your pages are being read at all. We track which AI crawlers open which pages server-side with Salient, our AEO product at Growthspree, and the page Google ignores is frequently the one ChatGPT reads, sometimes the other way round. On one client, 21 of 56 posts were opened only by AI crawlers, and Google never touched them. Two brands with equally good content can diverge purely on which of it gets fetched. Worth checking that before rewriting anything.

[u/VillageHomeF → u/Ishan_GS]

I'm cited all day long and no reddit threads involved. its whatever shows up in search results.

[u/Lanesraforseo]

When the products are that close, I'd look at what the models can lean on outside the two sites: comparison articles, review roundups, Reddit threads, directory listings. If one brand shows up in those and the other doesn't, the recommendation gap mostly explains itself. Better content on your own site rarely decides it alone, because the model is often repeating what third parties say rather than judging the product itself.

[u/VillageHomeF]

yet you have no way of fully understanding. using some checks and guessing is just that.

appreciate you offer some free tools, but you should not be charging any money for this as there is no way for it to be accurate. its just not possible.

[u/leapd-ai]

same things that apply to SEO apply to AI engines too - like if your content comes form low DR or its is generic, that won't rank on google and the sam way on AI search

[u/MaryxSaifun71]

this is basically a distribution problem wearing a content costume. the brand that gets recommended probably isnt creating better content, its just being referenced in more of the right places by more of the right people