How often does AI call a brand an alternative?

Among 89,979 alternative appearances, 25,922, or 28.8%, also carried a reservation. Specific criticism appeared in 20,047, or 22.3%. Only 48, or 0.05%, were explicit rejections, and 284, or 0.32%, also carried a direct-comparison label.

G2 reports that buyers use AI for category, competitor, and alternative questions. Semrush found that 36% of consumers compare an AI-mentioned brand with alternatives. Those studies describe buyer behavior. This study measures the role assigned to a ranked brand inside the answer. A reservation, criticism, comparison, rejection, and alternative are separate states.

ChatGPT Search framed 55,995 of 1,039,729 reviewed appearances as alternatives, or 5.4%. Google AI Mode did so in 33,984 of 1,108,761, or 3.1%. The ChatGPT Search rate was 1.8 times as high, a 2.3-point difference.

Use separate engine baselines. One combined rate hides a material difference and does not show that either engine assigned the role correctly.

Alternative framing appeared in 2,395 of 375,645 first-place appearances, or 0.64%; 25,905 of 655,169 second- or third-place appearances, or 4.0%; and 61,679 of 1,117,676 appearances at fourth or lower, or 5.5%. The fourth-or-lower rate was 8.7 times the first-place rate.

Position and role measure different parts of the recommendation. A lower-ranked brand is more likely to be presented as a substitute, but this descriptive result does not show that position caused the wording.

Among brands with at least 500 reviewed appearances, QGIS was framed as an alternative in 242 of 901 appearances, or 26.9%. Tether followed with 144 of 777, or 18.5%. Underdog Fantasy reached 90 of 534, or 16.9%. Seven more cleaned root-brand names complete the leaderboard.

Use the table to choose answers for review, not to infer brand quality. Compare the prompts, topics, engines, recommendation positions, and named primary options before deciding why a brand appears as an alternative.

Among industries with at least 10,000 reviewed appearances, Apps recorded 1,081 alternatives among 16,872 appearances, or 6.4%. Data and Analytics recorded 2,762 of 44,858, or 6.2%. Manufacturing recorded 363 of 16,563, or 2.2%.

Use an industry baseline before calling a brand's alternative rate unusual. These breakdowns describe the observed prompt corpus and do not show that industry caused the difference.

The main appearance-level rate was 89,979 of 2,148,490, or 4.2%. Counting reviewed statements produced 91,668 of 2,251,376, or 4.1%. Keeping exact brand identities produced 90,726 of 2,189,548, or 4.1%. Starting on June 1 produced 89,124 of 2,129,792, or 4.2%.

Reviewed language covered 2,148,490 of 3,582,303 direct ranked root-brand appearances, or 60.0%. The denominator excludes ranked brands without reviewed language. Brand families were consolidated, displayed names were checked, and no time trend was inferred from uneven daily coverage. The result does not measure accuracy, preference strength, buyer choice, or causation.

Alternative framing appeared in 89,979 reviewed ranked-brand appearances. ChatGPT Search's rate was 1.8 times Google's, and the fourth-or-lower rate was 8.7 times the first-place rate.

Track whether a brand is the main recommendation, an alternative, or explicitly rejected. Keep the engine, prompt, topic, recommendation position, and named primary option with each answer. Review high-rate brands and industries at the underlying answer level. Repeat the same method next quarter before calling any difference movement.