6 Best AI Visibility Tools in 2026 (Honest Comparison)
The AI visibility category splits by what gets measured and what happens next. Peec and Profound lead measurement-first tracking (prompt panels, share-of-voice dashboards); Otterly focuses on monitoring simplicity; Scrunch leans brand-and-agency workflows; a spreadsheet plus manual prompting is the honest free baseline; and Fenn is the act-on-it option — measurement wired to proposed site fixes, each with a ready prompt, and drafts for missing pages, which you approve and publish. Every tool here, ours included, should be judged by the same three questions: what exactly is sampled, is a citation distinguished from a mention, and can you reproduce the number.
Every tool in this category, Fenn included, sells a version of the same promise: know how visible you are in AI answers. The honest complication is that 'visibility' isn't one number — it's a sample of prompts, run on a subset of engines, at a moment in time, counted by rules each vendor chooses differently. That's not a scandal; it's the nature of measuring stochastic systems. But it means the comparison that matters is methodological, not cosmetic.
The three questions that separate these tools
- What's sampled — which prompts, how many, chosen by whom, on which engines? A number without its prompt set is unreproducible by construction
- Mention or citation — does the tool distinguish your brand appearing in an answer from your URL being cited as a source? These are different assets with different values
- Measurement or action — does the tool stop at the dashboard, or connect findings to changes you can review and ship?
At a glance
| Tool | Center of gravity | Best for | Pricing shape |
|---|---|---|---|
| Peec | Prompt-panel tracking | Marketing teams wanting share-of-voice | Tiered subscription |
| Profound | Enterprise answer analytics | Brands with budget and volume | Quoted |
| Otterly | Lightweight monitoring | Solo marketers, agencies starting out | Tiered subscription |
| Scrunch | Brand presence workflows | Agencies managing multiple brands | Tiered subscription |
| Manual tracking | A spreadsheet and discipline | Anyone, at zero cost | Free |
| Fenn | Measurement → shipped fixes | Teams that want the loop closed | See fenn.sh/pricing |
The tools, honestly
Peec built the category's most recognizable share-of-voice dashboards: define a prompt set, track which brands appear across engines, watch movement over time. Profound plays the same game at enterprise depth — bigger prompt volumes, more engines, analyst-grade reporting, quoted pricing to match. Otterly strips it to monitoring essentials at a price solo marketers can justify. Scrunch wraps tracking in agency workflow — multi-brand, client reporting. All four are measurement-first: they tell you where you stand and leave the standing-up to you.
Manual tracking deserves its row because it's the zero-cost baseline every tool must beat: a fixed prompt list, run monthly on each engine, results in a spreadsheet with a mention/citation column. Tedious, small-sample, and completely transparent — you know exactly what was measured because you measured it. Our buyer-intent prompt set guide is effectively the free starter kit for this.
Fenn is built on a different bet: that measurement without a path to action becomes a dashboard people stop opening. Visibility measurement feeds proposed site fixes, each with a ready prompt, and drafts for the pages you're missing; you approve and publish every change, because Fenn doesn't change your site itself. The fair caveat, stated the way we'd state it about anyone: if you have an SEO team that just wants numbers piped into their own workflow, a measurement-first tool plus your process may fit better. Run us through the same evaluation as everyone — our own citation evidence log is the template.
How to evaluate any of them (including us)
Ask each vendor for their sampling methodology in writing: prompt count, selection method, engines, refresh cadence, and the mention-vs-citation rule. Then run a two-week trial against your own 20-prompt buyer-intent set and compare the tool's numbers to your manual baseline. A tool whose numbers you can't reconcile with hand-checks on the same prompts isn't measuring — it's vibing with extra steps. And treat any promise of guaranteed placement in AI answers as the tell that it is: nobody controls these engines, vendors included.
FAQ
Is AI visibility tracking worth paying for? — Once AI answers drive meaningful discovery in your category, yes: manual tracking stops scaling past a few dozen prompts, and trend detection needs consistency humans don't sustain. Before that point, the spreadsheet baseline is genuinely enough.
What's the difference between a mention and a citation? — A mention is your brand named in the answer text; a citation is your URL listed as a source. Citations drive clicks and are verifiable; mentions drive awareness and are easier to inflate. Any tool that blends them into one score is hiding the distinction that matters most.
Can these tools improve visibility, or just measure it? — Measurement-first tools improve it indirectly, through your team acting on reports. Fenn's premise is closing that loop directly — proposed fixes from the findings, each with a ready prompt, and nothing changes on your site until you approve and publish it. Which model fits depends on whether the bottleneck in your org is knowing or doing.
Put this to work on your own website.
Fenn finds what your customers ask, drafts the articles and site fixes, and measures what ChatGPT, Claude, Gemini, Perplexity and Grok say about you — with every change waiting for your approval.