AI Visibility Tool

See how AI talks
about your brand

Buyers ask ChatGPT and Perplexity before they ask you. CrunchJunkie is the AI visibility tool that tracks whether your brand shows up across nine AI models, how it's described, and who's winning the conversation — then ties that visibility to the real conversions it drives.

Gartner expects traditional search volume to fall 25% by 2026 as buyers shift to AI assistants (Gartner, 2024). If AI describes you wrong, you lose the sale before it starts.

Tracked across nine AI models, scanned weekly or daily

ChatGPT
Gemini
Perplexity
Claude
Google AI Overviews
Google AI Mode
Microsoft Copilot
Grok
DeepSeek

How to improve your brand visibility in AI search engines

Everything you need for AI brand monitoring — monitor, benchmark and improve how AI represents your brand.

9 models, weekly or daily scans

ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Google AI Mode, Microsoft Copilot, Grok and DeepSeek — automatically scanned every day.

Core visibility metrics

Visibility %, Share of Voice, Sentiment, and Average Position, tracked over time and broken down by model.

Prompt tracking

Group prompts by Discovery, Brand, and Competitor intent, then see per-prompt performance across every model.

Prompt discovery

Not sure what to track? Crunch reads your brand, site and competitors and suggests a well-rounded set of real buyer prompts across the intent mix — or paste your own keywords and it turns each into buyer questions. Add the ones that fit with a click.

Slice by intent, branded & features

Every prompt is auto-classified by buyer intent (Commercial / Informational / Navigational) and deterministically as branded vs non-branded, so you can slice visibility in one click — each slice with its sample size. We even flag when branded prompts inflate your headline score and show the honest non-branded number (are you recommended when nobody names you?). Filter answers by what the engine actually did, like whether it ran a live web search.

Competitor benchmarking

Line your brand up against rivals on a competitive quadrant and watch share of voice shift week to week.

Perception

Not just whether a model mentioned you — the descriptive terms it reached for (responsive, expensive, white-label), pulled verbatim from each answer. Compared against every competitor you track, with distinctive terms — used for your brand and no other — highlighted, and sample sizes throughout.

Sources & citations

AI citation tracking that shows exactly which domains and pages AI cites when it answers — the content actually shaping the response. A source-health check even flags any cited page that's dead (404) or points to a retracted source.

Insights & actions

Prioritised, plain-language strategies to improve brand visibility in AI search engines — where to win mentions, and how to close the gaps competitors are filling.

Content Briefs from real citation evidence

For every prompt where AI recommends competitors but not you: a brief built from the actual cited pages and their research-validated signals — then a per-prompt re-scan that proves the lift.

Know why a line moved

We note configuration changes on the chart automatically — market switched, engines added, competitors changed — and you add your own for launches and campaigns. No more guessing whether a step was a result or a setting.

Signals & Automations

A confidence-scored issues inbox — visibility drops, competitor overtakes, dead or retracted sources, feed & schema gaps, broken connections — raised only when a change is statistically significant, never on scan-to-scan noise. Then turn any signal into a no-code automation that emails you, posts to Slack, calls a webhook, or drafts an action plan for your approval before it's sent.

AI → Conversions

Connect GA4 and overlay your AI-search visibility with the real sessions, conversions and revenue AI assistants drive — on one chart, with an honest correlation. The one view that shows whether AI visibility is turning into revenue.

Shopping visibility

Track whether AI recommends your brand — and which of your products — for purchase-intent shopping questions, benchmarked against competitors and tied to your imported catalog.

Crawlability & crawl insights

Check which AI crawlers your robots.txt allows — with why and how to fix it — then forward your access logs to see which AI bots (GPTBot, ClaudeBot, PerplexityBot and more) actually visit, how often, and which pages they hit.

GEO Audit + Agent Readiness

A 0–100 AI-readiness score across your whole site — crawler access, server-rendered content, structured data and llms.txt — with a prioritised fix list you can have Crunch draft for you. Plus a separate Agent Readiness sub-score for the new class of real-time AI agents.

Import from Peec AI

Already track AI visibility in Peec AI? Connect a project with an API key to pull its visibility, sentiment, prompts and sources straight into your reports.

Track

Nine models, scanned every day

CrunchJunkie asks the questions your customers ask and records how each model answers — whether your brand shows up, where it ranks, and how it's described. No manual prompting, no copy-paste.

  • ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Google AI Mode, Microsoft Copilot, Grok, DeepSeek
  • Fully automated scans — weekly or daily, on every plan
  • Mention tracking with full response capture
  • Trend lines per model over time

Visibility by model

Auto scan
ChatGPT
71%
Perplexity
64%
Gemini
58%
Claude
55%
Google AI Overviews
49%
Google AI Mode
46%

Lumière — visibility overview

Across 9 models · last 30 days

Visibility

62%+8 pts

Share of Voice

31%+4 pts

Avg. Position

2.4−0.6

Sentiment

+0.71Positive
Measure

The metrics that tell you if you're winning

Visibility tells you how often you appear. Share of Voice tells you how much of the conversation you own. Sentiment and Average Position tell you whether that presence is working for you.

  • Visibility % across all tracked prompts
  • Share of Voice versus competitors
  • Sentiment scoring on every mention
  • Average position when you do appear
Benchmark

See where you stand against rivals

Add your competitors once and CrunchJunkie tracks them on the same prompts you do. The competitive quadrant shows who owns the conversation and who's gaining — so you know where to push.

  • Side-by-side visibility and share of voice
  • Competitive quadrant view
  • Per-prompt win and loss tracking
  • Mention-gap detection where rivals appear and you don't
  • Perception side by side — the descriptive terms each model uses for you and for every rival
BrandVisibilityShare of Voice
LU
Lumière (you)
62%31%
VE
Velora
58%27%
NO
Nortex
44%19%
BR
Brandfield
38%15%

Most-cited sources

Domains AI references when answering

g2.com
41 cites
reddit.com
33 cites
trustpilot.com
27 cites
capterra.com
19 cites
wikipedia.org
12 cites
Understand

Know which sources shape the answer

AI answers are built from sources. CrunchJunkie surfaces the domains and pages each model cites most, so you can see whether it's review sites, forums, or your own content driving how you're described.

  • Ranked list of most-cited domains
  • Page-level citation detail
  • Spot which content earns mentions
  • Find the gaps to target with new content
Visibility → outcomes

The number that tells you whether your AI visibility is working

Connect GA4 and CrunchJunkie overlays your AI-search visibility with the real sessions, conversions and revenue that follow — on one chart, with an honest correlation.

AI visibility vs GA4 sessions

Same client, same five weeks

AI visibilityGA4 sessionsConversions
38%33%28%500350200Wk 1Wk 2Wk 3Wk 4Wk 5
↑ 31% → 35% AI visibility↓ 458 → 245 website sessions↓ 24 → 11 conversions

Visibility and sessions are real client data, anonymised and published with consent. Conversion figures are illustrative. Read the five-week case study →

Visibility can climb for five straight weeks while traffic falls the whole time. Most AI-visibility tools stop at the dashboard, so that divergence never surfaces. CrunchJunkie plots both numbers on the same page, so you catch it in week one instead of week five.

  • Visibility and GA4 sessions, plotted on one timeline
  • Conversions and revenue tied to the same period
  • Flags the gap when visibility and outcomes diverge
  • Counts only the AI-referred slice of GA4, and says so — a lower bound, not an inflated number
See how AI traffic attribution works
Prompts

Track the questions that matter, by intent

Organise prompts into three buckets so you know whether you're winning discovery, owning your brand, or losing comparisons.

Discovery

Category questions where buyers haven't named a brand yet — "best marketing reporting tools for agencies". Winning here means being recommended before anyone asks for you.

Brand

Prompts that name you directly — "is Lumière any good?". This is where sentiment and accuracy matter most, because the model is describing you to a buyer with intent.

Competitor

Comparison and alternative prompts — "Lumière vs Velora", "alternatives to Nortex". Track whether you show up favourably when buyers are weighing options.

New · AI Shopping Visibility

Does AI recommend your products for the sale?

Buyers ask AI what to buy. Track your shopping recommendation rate against competitors, detect which of your products AI already suggests, and import your catalog by feed or Google Merchant Center — all inside AI Visibility.

Explore

Honest numbers, with the sample size shown

AI answers are non-deterministic, so a visibility figure is a sample — and we treat it like one. Every AI-visibility KPI shows how it was measured, in the app and in your client reports alike.

Sample size on every metric

Each KPI shows "Based on N runs" — the number of scan runs (prompts × models × repeats) behind the number — so nobody mistakes one lucky answer for a trend.

A margin of error, not false precision

Visibility % is shown with a ± margin of error, so a client can see the confidence around the figure at a glance.

Repeated runs, averaged

We run each prompt several times and aggregate, because a single manual check is one noisy sample. The trend you track is real, not a screenshot.

Want to see it first? Run the free AI-visibility check — a real sample with its sample size and margin of error, no signup.

Bring your own keys, at cost

Already have API keys for the models you care about? Connect them and you only ever pay the providers their usage rates — CrunchJunkie never marks up your AI spend. Keys are encrypted at rest and used solely to run your scans.

Or let us manage it — metered from €25/mo

Don't want to juggle API keys? Managed AI runs the scans for you on our infrastructure. Model choice is free — you pick a monthly plan with an included check allowance (from €25/mo) and pay just €0.05/check beyond it. Premium models count 3×. Turn models on and off whenever you like — set a spend cap so there are no surprises.

See Managed AI pricing

More than a mention tracker

Every tool claims to “track AI” now. CrunchJunkie does that too — with honest sample sizes — then goes two steps further than a tracker, in one platform.

Track mentions across every engine

See how ChatGPT, Gemini, Perplexity, Google AI Overviews and more mention, cite and recommend you — by prompt, buyer intent and competitor, with the sample size always shown.

Industry standard

Plus a technical GEO Audit

Not just what AI says — why. A weighted audit of crawlability, llms.txt, structured data and server-rendering turns every gap into a prioritised, fix-it-yourself action plan — the technical strategies behind stronger brand visibility in AI search. Plus a separate Agent Readiness sub-score for the emerging class of AI agents.

Only in CrunchJunkie

Plus full marketing reporting

AI visibility lives inside white-label client reports alongside Google Ads, Meta, GA4 and every other channel — one platform, one price, instead of a separate subscription your clients never see.

Only in CrunchJunkie

The tactics that measurably raise AI-citation rates — citing sources, adding statistics, clear structure and authoritative voice — come from peer-reviewed research (Aggarwal et al., GEO, KDD 2024). Our GEO Audit scores your site against them.

Independent industry analysis backs this too: content platform AirOps found pages with a clean heading hierarchy and aligned schema earn 2.8× higher AI-citation rates, and pages using three or more relevant schema types are ~13% more likely to be cited — the exact structural signals our GEO Audit checks.

Comparison reflects the standalone AI-visibility category (mention monitoring); specific features vary by tool. CrunchJunkie's edge is combining all three in one place.

FAQ

AI brand monitoring, answered

AI brand monitoring is tracking how AI assistants describe, cite and recommend your brand when buyers ask them questions. CrunchJunkie runs AI brand monitoring across nine engines — ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews and AI Mode, Microsoft Copilot, Grok and DeepSeek — scanning daily and reporting visibility, share of voice, sentiment and the sources each model cites.

Nine: ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Google AI Mode, Microsoft Copilot, Grok and DeepSeek — each scanned automatically every day, with per-model trend lines over time.

Yes. AI citation tracking shows the exact domains and pages each model references when it answers, so you can tell whether review sites, forums or your own content are shaping how you're described — and where to earn new citations, which is the most direct way to improve your brand visibility in AI search.

Yes — "LLM brand monitoring" and "AI visibility tracking" describe the same job: monitoring how large language models represent your brand. CrunchJunkie covers the major LLMs in one place, and you can bring your own API keys at cost or let us manage the scans.

AI answers are non-deterministic, so CrunchJunkie runs each prompt several times and shows the sample size (N runs) plus a ± margin of error on every metric — honest AI search monitoring, not a single lucky screenshot.

Yes — that is what Perception does. On every scan CrunchJunkie pulls the descriptive terms each answer actually uses about your brand (responsive, expensive, white-label) straight from the text, with an explicit instruction never to invent one. Those terms are compared against every competitor you track, and the distinctive ones — used for your brand and no other tracked brand — are highlighted, because that is where positioning shows up. Sample sizes are shown throughout, and Perception is available in-app and as a report widget, so it can go straight into a client report.

Find out what AI says about you

Run the free check to see a real, live sample in under a minute — no signup — then set up a full visibility project and start improving your brand visibility in AI search engines.

Free check needs no signup · 14-day trial · Bring your own keys or go managed