How do I benchmark competitors in AI search?

Track the same buyer prompts for your brand and your rivals, then compare mention rates, positions, and share of voice across models. LLM Pulse runs this weekly and keeps the history, so benchmarks come with trend lines rather than one-off snapshots.

Can I see which prompts competitors win and I do not?

Yes. The gap view lists every tracked prompt where a competitor is mentioned and you are absent, which is usually the fastest place to find content worth creating.

Do different AI models rank brands differently?

Constantly. A brand can lead in ChatGPT and barely register in Gemini, because each model draws on different sources. The models comparison puts all five side by side so you can spot exactly where you underperform.

Can I see which sources power a competitor's visibility?

Yes. Citation analysis shows the domains and URLs each model cites when it recommends a rival, so you know which publications and pages to target next.

How current is the competitive data?

Every prompt runs weekly against five AI models on every plan. With 50 prompts tracked, you and your competitors are compared across more than 1,000 AI evaluations a month.

What does competitor benchmarking cost?

Plans start at EUR 49 per month, competitor tracking included, with a 14-day free trial to benchmark your category before you pay.

For Strategy and Competitive Intelligence

Benchmark your AI search position against competitors

Know exactly where you stand in AI answers: which rivals get recommended ahead of you, on which prompts, in which models, and which sources put them there.

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Know which rival wins which topic, and why

Benchmarks that name the topic, the model, and the source behind every rival gain, refreshed with each weekly run.

Tag Leadership

The topics you hold, and the ones about to flip

Your category is never one battle. It is a dozen topics with different leaders, and the matrix ranks every brand first to seventh on each of them. The mention rate deltas underneath tell strategy which leads are safe and which rival is one content push from taking a topic you count as yours.

Rivals ranked one to seven per topic
Deltas flag topics trending against you
Defend a lead before it flips

Explore tags and collections

The topics you hold, and the ones about to flip

Model Comparison

A rival's lead usually lives in one model

A competitor who looks unbeatable in the headline number often owes the whole lead to a single model. Breaking visibility and position out per model, for you and each rival, shows exactly where that lead sits, so you aim the counterattack at one model instead of spreading effort across five.

Find the model carrying a rival's lead
Position per model, not just presence
Concentrate the counter where you trail

Explore models comparison

A rival's lead usually lives in one model

Share of Voice

The board slide, with its receipts attached

When the board asks who is winning AI search this quarter, this is the view you screenshot. The share split settles the week's ranking, and the citation trends and top cited domains beneath it explain each rival's slice, so when a number moves you already know which sources moved it.

One chart that answers the exec question
Week-over-week share for you and each rival
The sources propping up every rival's slice

Explore share of voice

The board slide, with its receipts attached

Why Teams Benchmark AI Search with LLM Pulse

A complete competitive read on AI search, from headline share of voice down to individual prompts and sources.

Track Every Rival

Add the competitors that matter and see their mentions, positions, and sentiment tracked with the same weekly rigor as your own.

See Who Owns the Answers

Share of voice splits AI recommendations across you and your rivals, so you know whether you are gaining ground or ceding it.

Compare Model by Model

Gemini may favor a competitor ChatGPT ignores. The models comparison shows how each AI ranks you against the field.

Map Shared Sources

See which sources cite both you and a competitor, and which cite only them. Those second ones are your outreach list.

Find Prompts You Are Missing

Surface every prompt where a competitor appears and you do not, the fastest route to content worth creating.

Watch Moves as They Happen

Weekly runs turn competitor activity into trend lines, so a rival's content push shows up in the next run.

How Competitor Benchmarking Works

Four steps from a competitor list to a live competitive dashboard.

1

Add Your Competitors

List the rivals buyers compare you against. Their mentions and citations get extracted from the same weekly answers as yours.
2

Compare Across Models

Check share of voice and positions in each AI model separately, because the winners rarely match.
3

Study Their Sources

Open the citation overlap to see which pages make rivals credible to AI models, and where you are absent.
4

Take Back the Prompts

Work the gap list with content and PR, then let the next weekly run score the results.

How Teams Use Competitive Data

From board reporting to prompt-level counterattacks.

Build the Board Slide

One chart with your share of voice against the top rivals answers the question every executive now asks.

React to Competitor Pushes

When a rival's visibility jumps, trace it to the exact prompts and sources behind the move.

Study the Winning Playbook

See which pages earn a competitor citations, then build the piece the models will prefer.

Pick Your Battles by Market

Benchmark by locale to find markets where the leader is weak and a push would pay off fastest.

"LLM Pulse has allowed us to better organize our work and prioritize the actions that matter most. It gives us much greater clarity when implementing new ideas, and it makes reporting far easier, with metrics that were previously complex and difficult to obtain. Today it is part of how we plan and measure our visibility in AI search."

Sandra Vargas

Euroinnova

Frequently Asked Questions

Common questions about benchmarking rivals across ChatGPT, Perplexity, and Gemini.

: Track the same buyer prompts for your brand and your rivals, then compare mention rates, positions, and share of voice across models. LLM Pulse runs this weekly and keeps the history, so benchmarks come with trend lines rather than one-off snapshots.
: Yes. The gap view lists every tracked prompt where a competitor is mentioned and you are absent, which is usually the fastest place to find content worth creating.
: Constantly. A brand can lead in ChatGPT and barely register in Gemini, because each model draws on different sources. The models comparison puts all five side by side so you can spot exactly where you underperform.
: Yes. Citation analysis shows the domains and URLs each model cites when it recommends a rival, so you know which publications and pages to target next.
: Every prompt runs weekly against five AI models on every plan. With 50 prompts tracked, you and your competitors are compared across more than 1,000 AI evaluations a month.
: Plans start at EUR 49 per month, competitor tracking included, with a 14-day free trial to benchmark your category before you pay.