AI visibility tracking
Best AI visibility tracking tools
AI visibility tracking tools follow the same prompts across AI engines on a schedule, so a brand can see whether its presence in generated answers is improving, flat, or losing ground to competitors. Buyers also search for AI visibility trackers and visibility tracking software; the job is trend measurement — one check tells you where you stand, tracking tells you whether anything you did worked.
An AI visibility tracker stores a set of buying-intent prompts, rescans them across engines like ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, and reports mentions, answer positions, competitor appearances, and cited sources as a time series.
Quick picks
- Best for SMBsVisibly
- Focused monitoring, competitor gaps, cited sources, and next actions without enterprise overhead.
- Best for agenciesVisibly
- A repeatable scan-to-recommendation workflow that is easy to explain to clients.
- Best for enterpriseProfound
- Worth evaluating when governance, procurement, and broader research depth matter.
- SEO-suite optionAhrefs Brand Radar
- Best to check when AI visibility needs to sit beside existing SEO research workflows.
- AI visibility specialistOtterly
- Use this lane when you want a focused tool rather than a broad SEO or enterprise suite.
The shortlist
Visibly
Tracking tied to fixes for lean teamsA focused AI visibility tracker with recurring scans, position-aware scoring, competitor benchmarks, and recommendations after every gap.
- Rescans stored prompts across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews.
- Scores mentions by answer position, so moving from fifth to first is visible progress.
- Pairs every tracked gap with source evidence and a recommended fix, then rescans to verify.
Peec AI
Analytics-style tracking and reportingA tracking option centered on visibility, position, and sentiment metrics across prompts, models, and countries.
- Publicly describes visibility, position, and sentiment as core AI-search metrics.
- Shows prompt tags, country tracking, model filters, and exports.
Otterly
Tracking inside a content-intelligence suiteAn option when tracking should sit alongside prompt research, content audits, and GEO optimization modules.
- Public examples show brand coverage over time, average position, and engine filters.
- Names ChatGPT, Gemini, Perplexity, Copilot, AI Overviews, and AI Mode.
Profound
Enterprise-scale tracking programsA heavier platform when tracking is part of an enterprise AI-search operating model with research and agents.
- Public modules include Prompt Volumes, Answer Engine Insights, and Agents.
- Names a wide engine list including Grok, Copilot, Meta AI, and DeepSeek.
Ahrefs Brand Radar
Tracking beside SEO dataWorth evaluating when AI visibility trends should live inside Ahrefs next to rankings, backlinks, and search demand.
- Tracks brand visibility across AI answers, YouTube, and Reddit.
- Emphasizes exports and large-scale database access.
Match the tool to the job
| Category | Best fit | What to check |
|---|---|---|
| Tracking that ends in a fix list | Visibly | Scan cadence, position-aware scoring, competitor benchmarks, and whether gaps become recommendations. |
| Metric dashboards and exports | Peec AI | Visibility, position, sentiment, prompt tags, regions, and export workflow. |
| Tracking plus research modules | Otterly | Whether the broader module set fits, and current plan limits. |
| Enterprise tracking | Profound | Governance, seats, and research depth versus what the team will actually use. |
| Tracking inside an SEO suite | Ahrefs Brand Radar | Whether the team already lives in Ahrefs and how deep the AI-answer view goes. |
A practical buying filter
Insist on stored prompts
Tracking only works if the tool rescans the same questions. Ad-hoc checks with different prompts each time produce trends that mean nothing.
Position matters, not just presence
Being the first recommendation and the seventh are different outcomes. Prefer trackers that score answer position, not just yes/no mentions.
Track competitors in the same pass
A flat score hides the real story if a rival is climbing. Good trackers benchmark competitor visibility on the same prompts.
Match cadence to your pace of change
Weekly or daily tracking suits active GEO work; monthly may be enough while you build the content pipeline.
Methodology
This page groups tools by public positioning and AI visibility workflow fit. It avoids fake ratings, fake reviews, and unverified pricing claims. Check each vendor's current product materials before buying. Last verified July 6, 2026.
Questions buyers ask
- What is an AI visibility tracker?
- A tool that rescans the same buying-intent prompts across AI engines on a schedule and reports brand mentions, positions, competitors, and cited sources over time.
- How is tracking different from a visibility check?
- A check is a snapshot; tracking is a time series. Tracking is what tells you whether your content and source work actually changed AI answers.
- What metrics should AI visibility tracking report?
- Mention rate, answer position, share of voice versus competitors, cited sources, and changes after each fix — per engine and per prompt.
- How often should visibility be tracked?
- Most teams do well with daily or weekly automated scans plus an on-demand rescan after shipping a fix. AI answers change too often for quarterly checks.
- Why did my visibility change when nothing shipped?
- Engines update models and source indexes constantly, and generated answers vary between runs. Trend lines over multiple scans separate real movement from noise.