Win rate and head-to-heads

Win rate is how often AI picks you when a buyer asks it to choose between you and a named rival. It comes from head-to-head questions GetIntel asks every day, separately from your buyer questions.

Head-to-heads

For each topic, GetIntel asks each engine questions that name you and a rival and require a choice, for example “YourBrand or Acme for tracking AI visibility?”. Each answer is judged as a win for you, a win for the rival, or undecided.

How win rate is calculated

Win rate = your wins ÷ decisive answers. Undecided answers count for neither side: they are left out, not counted as losses.

Worked example. 10 head-to-head answers on a topic: you win 6, the rival wins 2, and 2 refuse to pick. Win rate = 6 ÷ 8 = 75%.

Note

A win rate only shapes a topic’s status once it rests on at least 5 decisive answers. Fewer than that, and one answer could flip it.

Win rate versus Found

The two measure different moments in a buyer’s search:

• Found: does AI bring you up unprompted when a buyer asks an open question?
• Win rate: when a buyer is already comparing you with a rival, does AI pick you?

Together they give each topic its status:

	Win rate 50% or more	Win rate below 50%
Found	Strong	Found, but losing to rivals
Not found	Hidden strength	Not found, and losing

• Hidden strength: you win comparisons but AI rarely brings you up on its own. The fix is getting discovered.
• Found, but losing to rivals: AI knows you but prefers a rival when buyers compare. Sharpen your positioning against them.

Where to find it

• Topics: the Win rate and Status columns.
• A topic’s Brand tab: Head to head, with each question, the outcome and what AI said.
• MCP: get_topic.

What moves it

Win rate responds to comparison content: pages that set out plainly where you are stronger than a named rival, and third-party comparisons that do the same. Your Off-Page comparison tasks target these.