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Research/AI competitor analysis: who AI names next to your brand

AI competitor analysis: who AI names next to your brand

Every time an AI answer names two brands together, it casts a vote about who belongs next to whom. A month of those votes is a competitive set defined by the model, and it is far more lopsided than your competitor slide.

By Dimitry Apollonsky · June 26, 2026 · 8 min read

Top pairing, by type
  • Coattails (bigger, one-sided)74.7%
  • Mutual rivalry23.6%
  • Reverse coattails1.7%
How the strongest pairing breaks down across active brands. Most point up at a bigger brand that does not point back.
▸Contents
  • AI keeps its own competitor map, and it is large
  • Your closest pairing is a mutual rival only 23.6% of the time
  • Your partner rarely ranks you near the top of its own list
  • The median brand sits 5th on its closest partner's list
  • Three shapes of a top pairing, and coattails dominate
  • In 85% of pairings, the partner is the bigger brand
  • Your top partner is typically about 3× your size
  • Among one-sided pairings, 44% don't rank you in their top 10
  • When the pairing is one-sided: named examples
  • What a real rivalry looks like
  • How to read your own competitive set
  • How we measured this
  • Get the data
  • Sources
  • Related research
Contents
  • AI keeps its own competitor map, and it is large
  • Your closest pairing is a mutual rival only 23.6% of the time
  • Your partner rarely ranks you near the top of its own list
  • The median brand sits 5th on its closest partner's list
  • Three shapes of a top pairing, and coattails dominate
  • In 85% of pairings, the partner is the bigger brand
  • Your top partner is typically about 3× your size
  • Among one-sided pairings, 44% don't rank you in their top 10
  • When the pairing is one-sided: named examples
  • What a real rivalry looks like
  • How to read your own competitive set
  • How we measured this
  • Get the data
  • Sources
  • Related research

We mapped 1,300,416 co-mentions, meaning two brands named together in the same AI answer, across 29,797 brands and 153,572 distinct pairs over the 30 days to June 26, 2026, on ChatGPT Search and Google AI Mode.

153,572
Brand pairs mapped
30 days to Jun 26, 2026
29,797
Brands in the map
23.6%
Top pairings that are mutual rivals
2.96×
Median size gap to your top partner

AI keeps its own competitor map, and it is large

Every answer that names two brands together is a small vote that they belong in the same set. Aggregate a month of those votes and you get a competitive map drawn by the model, not by your marketing team.

In a single 30-day window that map held 153,572 distinct brand pairs and 1.3 million co-mentions across 29,797 brands. It is detailed enough to read your own category from.

153,572
Distinct brand pairs
1,300,416
Co-mentions
29,797
Brands in the map

Your closest pairing is a mutual rival only 23.6% of the time

The single brand AI names alongside yours most often is a brand that names you back as its own number one in fewer than one in four cases. Most of the time, the brand you are most tied to barely registers you.

23.6%
of top pairings are mutual #1 rivalries

Takeaway

The brand AI pairs you with most probably does not pair you back. Treat your top pairing as a hypothesis, not a fact.

Your partner rarely ranks you near the top of its own list

Even when your top partner does acknowledge you, it is rarely near the top. It places you in its own top three only 40.8% of the time, and in its top five only 51.6% of the time.

  • Names you #123.6%
  • In its top 340.8%
  • In its top 551.6%
How often your top partner ranks you near the top of its own list.

The median brand sits 5th on its closest partner's list

Among brands with enough pairings to measure, the typical brand ranks fifth on the list of the very brand it is most associated with. You point at them first; they point back, if at all, from the middle of the pack.

5th
median rank on your top partner's list

Three shapes of a top pairing, and coattails dominate

Group the active brands by what their single strongest pairing actually is and three outcomes appear. Three in four ride the coattails of a bigger brand that does not name them back. Only a quarter are genuine mutual rivalries, and just 1.7% are the reverse.

  • Coattails (bigger, one-sided)74.7%
  • Mutual rivalry23.6%
  • Reverse coattails1.7%
Share of active brands by the shape of their strongest pairing.

In 85% of pairings, the partner is the bigger brand

The reason coattails dominate is size. In 85.2% of strongest pairings the partner is the larger brand by co-mention volume. Attention concentrates upward, so the smaller brand is tied tightly to a giant for whom it is a minor association.

85.2%
of top pairings point up at a bigger brand

Your top partner is typically about 3× your size

It is not a near-peer relationship. The median strongest partner carries roughly three times the co-mention volume of the brand tied to it. A buyer asking about them hears you in passing; a buyer asking about you hears them as a main comparison.

2.96×
median size gap to your top partner

Among one-sided pairings, 44% don't rank you in their top 10

When the pairing is not mutual, the gap is stark: 44.2% of the time the bigger partner does not place you anywhere in its top ten, and the median non-mutual rank is ninth. They are firmly on your radar; you are barely on theirs.

44.2%
of one-sided partners rank you outside their top 10

When the pairing is one-sided: named examples

The one-sided shape is clearest in crowded software categories. AI names the bigger brand beside the smaller one constantly, while the bigger brand ranks the smaller one far down its own list.

Named one-sided pairings, latest window. Click a column to sort.
Figma logoFigmaNotion logoNotion10.1×30th
LoomSlack logoSlack10.0×44th
Miro logoMiroNotion logoNotion7.0×22nd
BasecampAsana logoAsana6.9×8th
Smartsheetmonday.com faviconmonday.com6.3×9th
ZohoHubSpot logoHubSpot5.3×8th
Wrike logoWrikeClickUp logoClickUp5.2×8th
AirtableNotion logoNotion3.9×8th
FreshworksZendesk logoZendesk3.5×10th

What a real rivalry looks like

The roughly one in four pairings that go both ways are where AI and the market agree on a head-to-head. These read like rivalries a category analyst would draw by hand.

Mutual rivalries where each brand is the other's number one, with co-mentions in the window.
Datadog logoDatadog / New Relic logoNew Relic1,694
Asana logoAsana / ClickUp logoClickUp1,641
Ahrefs logoAhrefs / Semrush logoSemrush1,013
HubSpot logoHubSpot / Salesforce logoSalesforce586
Airbnb / Vrbo572
Fiverr / Upwork logoUpwork405
Make / Zapier376
DraftKings logoDraftKings / FanDuel logoFanDuel345
Fidelity / Schwab325
QuickBooks logoQuickBooks / Xero logoXero318

How to read your own competitive set

Separate rivalries from coattails. Beating a coattails brand on a feature grid will not change how AI pairs you; that pairing is context, not a contest.

Look past the top partner. Ranks two through ten are where competitors from adjacent categories surface, along with the ones that never make your own slide.

Watch the shape over time. A strengthening coattails link, or a newly forming mutual one, is visible weeks before win rates move.

How we measured this

We counted how often each pair of brands is named together inside the same AI answer, across ChatGPT logoChatGPT Search and Google logoGoogle AI Mode, over the 30 days ending June 26, 2026. For each brand we took its most co-mentioned partner, then looked up where the brand ranks on that partner's own list. A pairing is mutual when each brand is the other's number one.

The active set is limited to brands with enough distinct pairings to be stable, about 7,250 brands. Co-mention measures association, not a recommendation verdict or sentiment: two brands named together may be framed as alternatives, complements, or one as a foil for the other. Figures describe an observed sample of AI answers from the two engines in scope, not Perplexity, Gemini, or Copilot.

Get the data

Dataset CSVHeadline metrics behind every figure in this report.

Sources

  1. Buyers use AI assistants to build shortlists from category questions, Gartner · accessed 2026-06-26
  2. AI answer engines name brands together inside category answers, Search Engine Land · accessed 2026-06-26

Related research

How AI picks a winner in head-to-head comparisons
When AI compares two brands on more than one thing, it picks a different winner about half the time. There is no single winner, only a winner per axis.
Mention vs recommendation: when AI actually picks you
Being named in an AI answer is not the same as being recommended. Only about one in eight named brands is the answer's actual pick.
Which domains AI cites most in its answers
A source-domain cut of AI answers: which domains supply the evidence behind AI recommendations, and why community platforms are not a side channel.
Does AI use different names for the same brand?
Yes. AI used a known alias in 188,527 of 1,762,994 resolved brand mentions, or 10.69%.

About this research

Dimitry Apollonsky

Founder, Parse

I built Parse to track where AI answers really come from: the sources they cite and the brands they name. DM me on LinkedIn to talk shop.

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