Here's the honest positioning. Almost every tool above does one job: monitor AI visibility. CrunchJunkie is the only platform in this list that combines
AI-visibility tracking with
full cross-channel marketing reporting — Google Ads, Meta, Microsoft, LinkedIn, Amazon and Reddit Ads, GA4, Search Console, Matomo and Piwik PRO among the connectors — plus a technical GEO Audit (is your site even readable to AI crawlers? do you have llms.txt and valid schema?) and an action layer that turns citation gaps into evidence-grounded content briefs. And it's white-label, so an agency can put all of it in one client report under its own brand and domain.
On the engine question this article has been circling: we track nine — ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, Google AI Mode, Microsoft Copilot, Grok and DeepSeek — and all nine are included on every plan,
starting at €14/month. There is no per-engine add-on and no engine reserved for a higher tier. That is a deliberate choice rather than a feature race: an engine you can't afford to track is an engine you're invisible on without knowing it, and a per-engine price list turns your measurement coverage into a budget negotiation. Eight of the nine are web-search-grounded; DeepSeek answers from training data, which makes it a useful read on what a model believes about your brand when it isn't looking anything up.
That combination is the point: for an agency or in-house team, AI visibility usually isn't a standalone product you want to log into separately — it's one channel that belongs next to everything else the client already pays you to report on.
And since this article's own test is "does it hand you an executable brief, or just another dashboard," here is our full answer to it. Monitoring feeds a
Signals inbox — visibility drops, competitor overtakes, new citation gaps, and cross-channel composites like "AI visibility fell and AI-referred conversions fell with it" — and Automations turn a signal into an AI-drafted response: a content brief, a report section, a client-ready note. Nothing ships without a human approving it; the draft queue exists precisely so the AI never speaks to your client unsupervised. Drafting works in the other direction too: describe a widget in plain language inside the report builder and the in-app assistant creates it against your live data. And the
MCP connector — read-only by default, write actions only with explicit scopes — lets you query or act on all of it from Claude, ChatGPT or Cursor.
Where CrunchJunkie is not the answer, and we'd rather say it here than waste your trial: if you only want the deepest possible AI-visibility analytics with no marketing reporting attached — the largest prompt libraries, real-time crawler log feeds, or enterprise governance like SOC 2 — a specialist such as Profound, Scrunch or Athena will go deeper on that single axis than we do, and Evertune goes deeper still if you can fund it. If your product is a catalog rather than a service, our
AI Shopping Visibility measures the problem — shopping-intent prompts tracked at product level, with your catalog imported straight from Google Merchant Center — but Siftly still goes one step further and writes optimizations back into Merchant Center, which we don't. And on the second question from our own checklist above — per-prompt market and language — we currently carry those settings per project, not per prompt, so a brand tracking Austria and Spain in one project needs two projects today. It's on our roadmap, and it would be dishonest to hand you a checklist question we don't yet pass ourselves.
Pick the specialist if AI visibility is your entire job. Pick a combined platform if it's one part of a client's marketing you need to report and act on in one place.
Whatever you choose, test it on a 14-day trial against your own prompts — or start with a
free AI visibility check to see where you stand before you spend anything — and judge it on one thing: does it hand you an executable brief, or just another dashboard?