A question buyers ask AI

I want to compare my brand against three named competitors across several AI engines. Which AI visibility tools give the most reliable share-of-voice numbers for that?

Measured in 1 answer, last on Nov 7, 2026. Only the passages that name a brand are shown.

Brands in the answers

BrandNamed inRecommended inPositiveAvg. position
Peec AI100%100%100%1
Profound100%100%100%2
Evertune100%100%100%3
Ahrefs Brand Radar100%0%100%4
Otterly.AI100%0%0%5
Semrush AI Visibility100%0%100%—

Where each answer names a brand

Answer 1 · Nov 7, 2026 · 9 sources cited
Peec AI#1RecommendedSite citedpositive
“My first choice to trial for your use case.”
+ competitive benchmarking

“Strong competitive benchmarking and per-engine visibility.”

+ brand mention reporting

“Reports brand-mentioned responses against total responses.”

+ competitor tracking

“Useful for tracking your brand alongside three named competitors.”

+ daily tracking

“Daily tracking, although its public documentation does not specify the sample count per prompt or confidence intervals.”

− sampling transparency

“Daily tracking, although its public documentation does not specify the sample count per prompt or confidence intervals.”

Profound#2RecommendedSite citedpositive
“Profound is worth evaluating if you need broader enterprise intelligence.”
+ AI engine coverage

“Broad AI engine coverage and detailed answer and citation analysis.”

+ prompt-level tracking

“Strong prompt-level tracking and competitive intelligence.”

+ daily measurement

“Daily measurement.”

− definition consistency

“Important caveat: its publicly documented visibility definitions are not entirely consistent, so verify the exact denominator for your report.”

Evertune#3RecommendedSite citedpositive
“I'd start with a Peec AI versus Profound evaluation, and include Evertune as a measurement-validation candidate.”
+ statistical sampling

“Best statistical sampling approach”

+ repeatability

“Particularly interesting for repeatability.”

+ sampling methodology

“Publishes a methodology using 100 runs per prompt/model.”

+ base-model vs live-search distinction

“Distinguishes base-model responses from live-search experiences.”

Ahrefs Brand Radar#4Site citedpositive
“Best for demand-weighted SOV”
+ metric separation

“Separates brand mentions, citations and retrieved pages.”

+ demand-weighted SOV

“Weights AI share of voice by estimated search impressions.”

+ audience demand insight

“Useful when you want to understand visibility in relation to potential audience demand.”

+ citation distinction

“Ahrefs, for example, explicitly distinguishes citations from pages merely retrieved by AI, while Semrush documents its large prompt database and regional coverage.”

− metric definition limitation

“Important limitation: this is not the same as the percentage of AI answers mentioning your brand.”

Otterly.AI#5Site citedmixed
“Best for straightforward monitoring”
+ brand and competitor tracking

“Tracks brand coverage and competitor mentions.”

+ daily monitoring

“Offers daily monitoring.”

+ accessibility for small teams

“Accessible for smaller marketing teams.”

− statistical validation

“Less compelling if you need sophisticated statistical validation.”

“Ahrefs, for example, explicitly distinguishes citations from pages merely retrieved by AI, while Semrush documents its large prompt database and regional coverage.”
+ prompt database and regional coverage documentation

“Semrush documents its large prompt database and regional coverage.”

Sources the answers cite

← All questions and the AI Search Visibility & GEO ranking