TLDR
Start by checking which models a tool actually monitors (ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews are the ones that matter most in 2024). Then weigh how it tracks prompts: static weekly snapshots are fine for reporting, but if you need to react to ranking shifts you want daily runs and alerting. Teams running SEO already should favor tools that fit their existing reporting stack over standalone dashboards.
Marketing and SEO teams that need to see whether their brand gets mentioned, cited, and recommended inside AI assistant answers, and how they stack up against competitors.
AI visibility tracking measures how often and how favorably your brand shows up when people ask AI assistants questions. Instead of ranking on a search results page, you are being summarized, cited, or recommended inside an answer from ChatGPT, Perplexity, Gemini, or Google's AI Overviews. These tools run your prompts against the models on a schedule and report mentions, position, sentiment, and the sources the models pulled from.
The space is young, so feature sets vary a lot. Some tools focus narrowly on mention counts; others reconstruct the full citation chain so you can see which pages the model trusted. Coverage of specific models also differs, and that matters because answers diverge sharply between, say, Perplexity (web-grounded) and a base ChatGPT response.
When comparing, focus on three things: which models and regions are covered, how prompts are managed and refreshed, and whether you can export data into the reporting you already do. Sentiment and competitor benchmarking are useful but secondary to getting accurate, repeatable measurement.
AI Visibility Tracking Tools compared
Filter by what you care about. Every tool stays on the page.
| Tool | Price | LLM Coverage | Prompt & Query Tracking | Brand Sentiment | Citation Sources | Competitor Benchmarks | API & Integrations |
|---|---|---|---|---|---|---|---|
| Scanora | 0 € | Yes | Limited | No | Yes | Yes | No |
| AuditAI | 0 € | Yes | Limited | No | Yes | Yes | No |
| display.dev | €0 | No | No | No | No | No | Limited |
| Pushary | $9.99 | No | No | No | No | No | Yes |
| Profound | Custom | Yes | Yes | Yes | Yes | Yes | Yes |
| Otterly.AI | From $29/mo | Yes | Yes | Limited | Yes | Yes | Yes |
| Peec AI | From $90/mo | Yes | Yes | Yes | Yes | Yes | Limited |
| Scrunch AI | Custom | Yes | Yes | Limited | Yes | Yes | Limited |
| Goodie AI | Custom | Yes | Yes | Yes | Yes | Yes | Yes |
| Nightwatch | From $39/mo | Yes | Yes | Limited | Yes | Yes | Yes |
| Ahrefs Brand Radar | From $129/mo | Yes | Yes | Limited | Yes | Yes | Yes |
| SE Ranking AI Tracker | From $65/mo | Yes | Yes | Limited | Yes | Yes | Yes |
| Semrush AI Toolkit | From $140/mo | Yes | Yes | Yes | Yes | Yes | Yes |
| Rank Prompt | From $40/mo | Yes | Yes | Yes | Yes | Yes | Yes |
| AthenaHQ | Free | Yes | Yes | Yes | Yes | Yes | Limited |
Highlighted rows are featured placements. Competitor details are set by each platform, so confirm on their site before buying.
The 15 best ai visibility tracking tools
Scanora is a website audit tool that tests whether ChatGPT, Claude, Perplexity, Gemini, and Google AI Overview use your site as a source, alongside how it ranks in classic Google results. It returns an AI visibility score from 0 to 100, an SEO score, performance metrics, and a Claude-generated fix report with prioritized actions. Users can track their AI visibility and SEO over time.
Pros
- AI visibility and SEO scores in one report
- Covers five major AI engines
- Claude-generated prioritized fix reports
- Includes performance metrics and competitive analysis
Cons
- Report-based rather than deep ongoing monitoring
- Newer product still building its reputation
Best for: Site owners who want a fast AI and SEO visibility snapshot with fixes.
AuditAI crawls up to 25 pages and checks 19+ signals, including structured data, llms.txt, and robots.txt permissions, to show whether ChatGPT, Claude, Perplexity, and Google AI Overview cite your site. It pairs that with traditional SEO ranking checks and returns prioritized fixes rather than generic advice. Results land in roughly a minute, and it tracks your AI and SEO rankings weekly.
Pros
- Covers both AI visibility and classic SEO in one scan
- Prioritized fixes instead of generic tips
- Fast results in about 60 seconds
- Checks AI crawler signals like llms.txt and robots.txt
Cons
- Crawl limited to 25 pages
- Newer tool with a narrower track record
Best for: Teams wanting a quick combined AI and SEO visibility check for free.
Display.dev publishes HTML and Markdown artifacts from any AI agent, such as Claude Code, Codex, or Cursor, behind company authentication. Teams can view, comment on, and iterate on artifacts without vendor lock-in or per-seat licensing, and files stay versioned even when you switch agents. Sharing is gated through Google Workspace or Microsoft SSO, with inline comments, permanent URLs, and access logs.
Pros
- Works with any AI agent, no lock-in
- Company-gated sharing via Google or Microsoft SSO
- Unlimited viewers at a flat price
- Permanent, versioned URLs with audit logs
Cons
- Not built for AI visibility or rank tracking
- Niche use case tied to agent artifacts
Best for: Teams that need to publish and review AI agent output across tools.
Pushary is a control panel for AI agents that routes permission requests to your phone, Slack, or web app so agents do not freeze while waiting on you. Your code stays on your machine; only the decision is sent to Pushary's servers. It works with any MCP agent and includes permission policies, an audit trail, and n8n integration.
Pros
- Respond to agent requests from anywhere in seconds
- Code never leaves your machine
- Works with any MCP agent
- Audit trail for every decision
Cons
- Not an AI visibility or SEO tracking tool
- Focused only on agent approvals
Best for: Developers running AI agents who need fast, mobile approval of actions.
Profound
CustomProfound tracks how brands appear across ChatGPT, Perplexity, Claude, Gemini, Copilot, DeepSeek, and Google AI Overviews, pairing monitoring with prompt volume data and citation analysis. Its Answer Engine Insights and AI Marketer agents help teams understand what consumers ask and what gets cited, then act on it. It targets larger brands and agencies, with a limited free trial before a demo.
Pros
- Wide AI engine coverage
- Prompt volume and consumer intent data
- AI Marketer agents for research and reporting
- Shopping and agent analytics
Cons
- Built for enterprise budgets
- Pricing requires a demo
- Heavier than solo marketers need
Best for: Enterprise marketing teams running a serious answer engine strategy.
Otterly.AI
From $29/moOtterly.AI tracks brand mentions and website citations across ChatGPT, Google AI Overviews, Perplexity, and Copilot, with Claude, Gemini, and AI Mode available as add-ons. It offers prompt research, AI search analytics, and ChatGPT ads tracking, with daily tracking and unlimited team members on every plan. Plans start low, making it accessible for solo marketers and small teams.
Pros
- Low entry price with unlimited team members
- Daily tracking frequency
- Prompt research and ChatGPT ads tracking
- Free trial available
Cons
- Some engines are paid add-ons
- Prompt limits on lower tiers
- Fewer enterprise features
Best for: Solo marketers and small teams needing affordable AI search tracking.
Peec AI
From $90/moPeec AI helps marketing teams track and improve brand performance across AI search platforms using metrics like visibility, position, and sentiment. You add your own prompts, organize them with tags, and track across countries and multiple models. Plans include unlimited users and daily tracking, with tiers scaling by prompt count and model selection.
Pros
- Clear visibility, position, and sentiment metrics
- Unlimited users on all plans
- Custom prompts with tagging
- Competitor comparison built in
Cons
- Model choice capped on lower tiers
- Prompt limits by plan
- No classic SEO rank tracking
Best for: Marketing teams and SEO agencies focused on AI search metrics.
Scrunch AI
CustomScrunch AI combines AI visibility monitoring with agent-focused site optimization, letting you see how your brand shows up in AI answers and how agents consume your site. Its Agent Pages, agent traffic analytics, and citation monitoring aim at enterprises and agencies navigating AI-first discovery. It also includes shopping-level product visibility and emerging AI search trend insights.
Pros
- Monitoring plus agent traffic analysis
- Agent Pages to optimize for crawlers
- Citation tracking for AI answers
- Product-level shopping visibility
Cons
- Enterprise orientation
- Pricing not transparent
- Broad scope can be complex
Best for: Enterprises optimizing both AI visibility and how agents crawl their site.
Goodie AI
CustomGoodie AI is an AEO platform that shows the prompts customers ask, how AI models describe your brand, and how crawlers interact with your site. It pairs visibility monitoring with prioritized optimization actions, a content studio, and attribution that connects visibility to revenue. Goodie targets enterprise and agency teams across industries like travel, fintech, and retail.
Pros
- Prompt research and visibility monitoring
- Prioritized optimization actions
- Attribution linking visibility to revenue
- Content studio for AI-optimized copy
Cons
- Demo-led, enterprise pricing
- Heavier than small teams need
Best for: Enterprise and agency teams wanting AEO plus revenue attribution.
Nightwatch
From $39/moNightwatch combines rank tracking with AI visibility and its Citation Intelligence feature, which ties ranking changes to citations in ChatGPT, Claude, Gemini, and Perplexity. It includes prompt research, site audit, reporting, keyword research, and an SEO MCP that connects to Claude, Cursor, and ChatGPT. Pricing is based on keywords tracked with unlimited seats and no per-seat fees.
Pros
- Rank tracking and AI visibility together
- Links ranking changes to AI citations
- Unlimited seats, no per-seat fees
- White-label reporting and site audit
Cons
- Priced by keyword volume
- Can get costly at scale
Best for: SEO teams wanting rank tracking and AI citations in one tool.
Ahrefs Brand Radar
From $129/moAhrefs Brand Radar tracks your brand's visibility across large language models, with Custom Prompts to monitor the AI prompts that matter to you. It sits inside the broader Ahrefs platform of Site Explorer, Keywords Explorer, Rank Tracker, and Site Audit, all backed by a huge proprietary web index. This makes it a strong fit for teams already using Ahrefs for SEO.
Pros
- Backed by Ahrefs' large web index
- Custom prompt tracking in LLMs
- Pairs with full SEO toolkit
- 400M monthly AI prompts analyzed
Cons
- Full value needs an Ahrefs subscription
- AI features newer than core SEO tools
Best for: Existing Ahrefs users adding LLM visibility to their SEO workflow.
SE Ranking AI Tracker
From $65/moSE Ranking's AI Search Toolkit adds trackers for AI Overviews, AI Mode, ChatGPT, Gemini, and Perplexity on top of its established SEO suite. You get rank tracking, keyword research, site audit, competitor analysis, and reporting alongside AI visibility data. It also offers an API and MCP, making it a practical all-in-one for agencies and growing businesses.
Pros
- Separate trackers per AI engine
- Full SEO toolkit included
- API and MCP access
- Agency-friendly reporting and white label
Cons
- AI features spread across modules
- Costs add up with more tools
Best for: Agencies and businesses wanting AI trackers inside a full SEO suite.
Semrush AI Toolkit
From $140/moSemrush's AI Toolkit adds AI visibility tracking, prompt research, and AI brand sentiment to its large SEO and market data platform. It connects to AI assistants via Semrush MCP and API, letting teams research prompts and measure how AI tools describe their brand. For existing Semrush users it extends familiar workflows into AI search.
Pros
- Built on Semrush's deep data
- AI brand sentiment analysis
- Prompt research and visibility tracking
- MCP and API access
Cons
- Added cost on top of core plans
- Can be complex for beginners
- Priced for serious marketers
Best for: Semrush users extending SEO work into AI search visibility.
Rank Prompt
From $40/moRank Prompt tracks brand mentions across AI models, shows which sources AI cites, and ties AI traffic to GA4. It adds a brand perception audit, content studio, technical SEO audit, and citation outreach, plus scheduled reports and prioritized AI SEO tasks. Developers get a REST API, MCP server, and webhooks, and there are several free checker tools.
Pros
- Monitoring plus citation source tracking
- AI traffic analytics with GA4
- Developer API, MCP, and webhooks
- Free AI readiness and visibility checkers
Cons
- Broad feature set to learn
- Newer than big SEO suites
Best for: Teams wanting AI visibility plus content and outreach with API access.
AthenaHQ
FreeAthenaHQ helps brands see, act, and win on AI search with prompt and response analysis, source and competitor insights, and content recommendations across ChatGPT, Perplexity, AI Overviews, Gemini, and Copilot. Its Athena AI agent automates research and action, and plans scale from a free credit tier to enterprise. It covers a wide range of industries with a free audit to start.
Pros
- Prompt and response analysis across engines
- Sources and competitor insights
- AI agent that acts on findings
- Free tier with starter credits
Cons
- Credit-based usage can limit volume
- Enterprise features behind sales
Best for: Teams wanting an agent to analyze and improve AI search presence.
How to choose an AI visibility tracker
Begin with model coverage. If most of your audience uses ChatGPT, make sure the tool queries the actual ChatGPT product and not just the raw API, because the consumer app adds browsing and memory that change answers. Perplexity and Google AI Overviews are the other two worth confirming, since both ground responses in live web content and reward fresh, well-structured pages.
Next, look at prompt management. You will usually track dozens to hundreds of prompts, so you want bulk import, grouping by topic, and the ability to vary phrasing. Daily refreshes catch volatility that weekly snapshots miss. Finally, check the export path: CSV and API access let you fold AI visibility into the same dashboards you use for organic search and paid.
Key features to look for
Citation tracking is the feature that separates reporting tools from actionable ones. Knowing you were mentioned is useful; knowing which URL the model cited tells you what to optimize. Favor tools that surface the exact source pages and let you see when a competitor's page is cited instead of yours.
Sentiment analysis matters for reputation-sensitive brands, since a mention framed negatively is worse than no mention. Competitor benchmarking is the other high-value feature: tracking share of voice across your category shows whether you are gaining or losing ground as models update. Alerting on sudden drops helps you respond before a quarter of data goes missing.
Implementation tips
Write prompts the way real users phrase questions, not the way you describe your product. Mix branded queries ("is Acme good for X") with unbranded category questions ("best tool for X"), because the unbranded ones reveal whether you show up at all when the user has no brand in mind.
Run a baseline for at least two weeks before drawing conclusions. AI answers are non-deterministic, so a single run can mislead; trends over multiple runs are what count. Pair the data with a content plan, since the main lever for AI visibility is publishing clear, citable, well-structured pages that models can parse and trust.
Frequently asked questions
What is AI visibility tracking?
It is the practice of measuring how your brand appears in answers from AI assistants like ChatGPT, Perplexity, Gemini, and Google AI Overviews. Tools run a set of prompts against these models on a schedule and report whether you were mentioned, where you ranked in the answer, how you were framed, and which sources the model cited.
How is it different from traditional SEO rank tracking?
Classic rank tracking measures your position in a list of blue links. AI visibility tracking measures whether you appear inside a generated answer, which may cite several sources or none at all. The signals overlap (good content helps both), but AI answers are non-deterministic and often draw from different pages than the top organic results.
Which AI models should a tool cover?
At minimum ChatGPT, Google AI Overviews, and Perplexity, since those drive the most assistant traffic. Gemini and Claude are worth adding if your audience uses them. Check whether the tool queries the consumer products or just the raw APIs, because browsing and personalization features change the answers users actually see.
How often should I track prompts?
Daily is ideal for catching volatility, but weekly is acceptable for reporting. Because answers vary between runs, judge trends across multiple checks rather than any single result. Set alerts for sharp drops so you can investigate before a reporting period closes.
Can I improve my AI visibility, and how?
Yes. The main levers are publishing clear, well-structured content that models can parse, earning citations from sources the models trust, and keeping key pages current. Unbranded category pages and comparison content tend to get picked up most. Treat it like SEO: steady content work, measured over weeks.
Do I need a dedicated tool or can my SEO suite do it?
If you track only a few branded prompts, an add-on in Semrush, Ahrefs, or SE Ranking may be enough. If you track hundreds of prompts across several models, need citation-level detail, or run client reporting, a dedicated platform with competitor benchmarking and API export will save time and give deeper data.
How much do these tools cost?
Pricing ranges widely, from free or low-cost tiers for small prompt sets to several hundred dollars a month for agency-grade platforms with many models, large prompt volumes, and API access. Most charge based on number of prompts tracked and refresh frequency, so scope your prompt list before comparing plans.
The bottom line
If you only track a handful of brand prompts, a lightweight tool or even an existing SEO suite add-on covers it. Agencies and larger brands tracking hundreds of prompts across multiple models should pick a dedicated platform with competitor benchmarking and API export. Run a two-week trial with your real prompts before committing.