See who AI recommends when it isn’t you

Every AI answer in your category names someone. Peakmark shows who: share of voice, per-prompt visibility and sentiment, engine by engine.

The free check needs no account · Plans from $79/month

Peakmark competitors view with a share-of-voice chart and a visibility trend against rivals (sample data)

The competitor you can’t see

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

Peakmark records the brands named in your category’s answers, including ones you didn’t list, and alerts you when a new competitor appears.

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

AI answers lean on reviews, forums and comparison articles, so their shortlist can differ from a search results page. We show the competitors AI actually names.

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

One share-of-voice number, trended over time. 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 your tracked prompts: a clean “are we winning?” number for AI answers.

Prompt-level gaps

Every tracked prompt has its own visibility score, so you can sort the list and find the questions where competitors get named and you don’t.

Auto-detected competitors

Peakmark records the brands the engines name in their answers, including challengers you weren’t watching. You can add or remove rivals yourself.

Sentiment side-by-side

Mentioned isn’t enough: “popular but pricey” loses deals. Compare how the engines describe you against each rival.

4.4×

the value of an AI-search visitor vs. an organic one, by conversion rate

Semrush study, 2025

How competitor analysis works

  1. Confirm your rivals

    Start from the auto-detected set, add anyone we missed and remove anyone who isn’t a real rival.

  2. Daily head-to-head runs

    Every answer is scored for every brand it names, yours and theirs, on all four engines.

  3. Act on the gaps

    Open a prompt you’re losing and check which sources the answers cite. Then generate an action for it, or ask the agent to draft a page or an outreach pitch. You review and ship.

Frequently asked questions

How does AI competitor analysis work?
Peakmark runs your buying prompts on ChatGPT, Gemini, Perplexity and Google AI Overviews every day, records the brands named in the answers, and computes share of voice, mention order and sentiment for each. You see who wins the questions you track 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 Peakmark records the brands named in the stored answers, challengers that AI starts recommending show up without you adding them, and an alert can tell you when a new competitor appears.
Why do AI models recommend my competitor instead of me?
Often it comes down to sources: AI engines lean on review sites, forum threads, comparison articles and docs. If those consistently frame a rival as the default choice, the answers repeat it. Peakmark’s Sources view shows which sites the answers cite, so you can see where to show up.

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

Share of voice, gaps and sentiment on four engines, checked every day.

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