How does AI competitor analysis work?

Peakmark runs your category’s buying prompts through the major AI models daily, extracts every brand named in the answers, and computes share of voice, mention order, and sentiment for each. You see who wins each question and how the balance shifts over time.

What is share of voice in AI answers?

It’s your brand’s share of all brand mentions across the tracked prompt set. If models name brands 200 times this week and 30 of those are you, your share of voice is 15%. It’s the fastest way to know whether AI answers favor you or a competitor.

Can Peakmark find competitors I don’t know about?

Yes. Because we extract every brand from the raw answers, challengers that AI has started recommending show up automatically — often before they register in your classic SEO tools.

Why do AI models recommend my competitor instead of me?

Usually sources: models lean on review sites, Reddit threads, comparison articles, and docs. If those consistently frame a rival as the default choice, the models repeat it. Peakmark shows which sources power each competitor’s mentions, so you know exactly where to compete.

See who AI recommends when it isn’t you

Every AI answer in your category names someone. Peakmark shows who — share of voice, gap prompts, and sentiment, model by model.

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The competitor you can’t see

“A rival gets recommended daily and we’d never know.”

Peakmark tracks every brand named in your category’s answers — including ones you didn’t list. New names surface automatically.

“We know our SEO competitors. AI names different ones.”

AI pulls from reviews, Reddit, and listicles — so its shortlist often differs from the SERP. We show the actual competitive set inside AI answers.

“Leadership asks: are we winning or losing in AI? I shrug.”

One share-of-voice number, trended over time, split by model and prompt group. A screenshot answers the question.

Your category’s answer list, quantified

Who gets named, how often, in what order, and with what tone.

Share of voice

Your mentions as a share of all brand mentions across tracked prompts — the single cleanest “are we winning?” metric for AI answers.

Gap prompts

The exact questions where competitors get named and you don’t. Sorted by frequency, these are your highest-leverage targets.

Auto-detected competitors

We extract every brand the models mention, so your competitive set builds itself — including challengers you weren’t watching.

Sentiment side-by-side

Mentioned isn’t enough — “popular but pricey” loses deals. Compare how models characterize you against each rival.

4.4×

more valuable — visitors arriving from AI search convert better than classic organic traffic

Semrush study

How competitor analysis works

Confirm your rivals
Start from the auto-detected set, add anyone we missed, and group them however you report.
Daily head-to-head runs
Every tracked prompt is scored for every brand it names — yours and theirs — across all models.
Act on the gaps
Open the prompts you’re losing, see which sources power the competitor’s presence, and feed them straight into your action plan.

Frequently asked questions

How does AI competitor analysis work?: Peakmark runs your category’s buying prompts through the major AI models daily, extracts every brand named in the answers, and computes share of voice, mention order, and sentiment for each. You see who wins each question and how the balance shifts over time.
What is share of voice in AI answers?: It’s your brand’s share of all brand mentions across the tracked prompt set. If models name brands 200 times this week and 30 of those are you, your share of voice is 15%. It’s the fastest way to know whether AI answers favor you or a competitor.
Can Peakmark find competitors I don’t know about?: Yes. Because we extract every brand from the raw answers, challengers that AI has started recommending show up automatically — often before they register in your classic SEO tools.
Why do AI models recommend my competitor instead of me?: Usually sources: models lean on review sites, Reddit threads, comparison articles, and docs. If those consistently frame a rival as the default choice, the models repeat it. Peakmark shows which sources power each competitor’s mentions, so you know exactly where to compete.

Explore the rest of the platform

Monitoring, evidence, and execution — every piece feeds the next.

Find out who’s winning your category’s AI answers

Run your first head-to-head today — share of voice, gaps, and sentiment across every major model.

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