TLDR
Start by matching the tool to the models your audience actually uses: some track ChatGPT and Perplexity deeply but skip Gemini, Claude, or Google AI Overviews. Then weigh how many prompts you can monitor, whether you get citation-level data (which sources the model pulled from), and how the competitor benchmarking works. If your team already runs traditional SEO, favor a tool that layers cleanly on top of existing reporting rather than a standalone dashboard.
Marketing and SEO teams that need to know how often, and how favorably, their brand shows up in AI-generated answers across ChatGPT, Perplexity, Gemini, and Google AI Overviews.
AI visibility tracking measures how your brand appears inside answers from large language models like ChatGPT, Perplexity, Gemini, and Claude, plus AI-generated summaries in search such as Google AI Overviews. Instead of ranking positions, you track mention frequency, sentiment, and which sources the models cite when they describe your category.
This matters because a growing share of buyers ask an AI assistant before they ever hit a search results page. If a model recommends three competitors and never mentions you, that is invisible demand you cannot see in Google Search Console. The tools in this space run prompts on a schedule, parse the responses, and tell you where you stand.
When comparing options, weigh model coverage, how many prompts and how often you can run them, whether you get citation-level detail, and how the pricing scales as you add prompts or competitors. Newer entrants add features weekly, so treat any ranking as a snapshot.
AI Visibility Tracking Tools compared
Filter by what you care about. Every tool stays on the page.
| Tool | Price | LLM Coverage | Prompt & Query Tracking | Citation & Source Analysis | Competitor Benchmarks | Brand Sentiment | Integrations & API |
|---|---|---|---|---|---|---|---|
| AuditAI | Free | Yes | Yes | Yes | Yes | Limited | Limited |
| display.dev | €0 | No | No | No | No | No | Yes |
| Pushary | $9.99 | No | No | No | No | No | Yes |
| Profound | Custom | Yes | Yes | Yes | Yes | Yes | Yes |
| Otterly.AI | From $29/mo | Yes | Yes | Yes | Yes | Limited | Yes |
| Peec AI | From $89/mo | Yes | Yes | Yes | Yes | Yes | Limited |
| Scrunch AI | Custom | Yes | Yes | Yes | Yes | Limited | Yes |
| Goodie AI | Custom | Yes | Yes | Yes | Yes | Yes | Yes |
| Rankscale | From $99/mo | Yes | Yes | Yes | Yes | Yes | Yes |
| AthenaHQ | From $295/mo | Yes | Yes | Yes | Yes | Yes | Yes |
| Nightwatch | From $39/mo | Yes | Yes | Yes | Yes | Limited | Yes |
| Semrush | From $139.95/mo | Yes | Yes | Yes | Yes | Yes | Yes |
| Ahrefs | From $129/mo | Yes | Limited | Yes | Yes | Limited | Yes |
| seoClarity | Custom | Yes | Yes | Yes | Yes | Yes | Yes |
| BrightEdge | Custom | Yes | Yes | Yes | Yes | Yes | Yes |
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
AuditAI crawls up to 25 pages and checks 19+ signals, including structured data, llms.txt, robots.txt permissions, and content quality, then returns prioritized fixes in about 60 seconds. It tracks both AI mentions and traditional SEO rankings on a weekly basis, and includes share of voice comparison against competitors. The focus is on giving you specific things to fix rather than generic advice.
Pros
- Covers ChatGPT, Claude, Perplexity and Google AI Overview in one audit
- Results in roughly 60 seconds
- Prioritized fixes instead of generic recommendations
- Combines AI visibility with traditional SEO tracking
Cons
- Crawl limited to 25 pages per audit
- Newer tool with a smaller track record than incumbents
Best for: Teams wanting a quick combined AI visibility and SEO audit with clear fixes.
Display.dev gives artifacts from Claude Code, Codex, Cursor, or custom agents a permanent, versioned URL behind Google Workspace or Microsoft SSO. Teams can view, comment, and iterate without per-seat licensing or vendor lock-in, and artifacts stay accessible when you switch agents. It includes inline commenting, version history, audit logs, and unlimited viewers at a flat price.
Pros
- Agent-agnostic publishing with no vendor lock-in
- Company-gated sharing via Google or Microsoft SSO
- Unlimited viewers at a flat price
- Permanent, versioned URLs with audit logs
Cons
- Not an AI search visibility tracker
- Aimed at artifact sharing rather than brand monitoring
Best for: Teams that need to share and version AI agent outputs across tools.
Pushary delivers agent permission requests to your phone, Slack, or web app so agents do not freeze while waiting on your decision. 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
- Approve or deny agent requests from anywhere
- Code never leaves your machine
- Works with any MCP agent
- Includes audit trail and permission policies
Cons
- Built for agent approvals, not AI search visibility tracking
- Requires MCP-compatible agents
Best for: Developers running AI agents who need to approve permissions on the go.
Profound
CustomProfound monitors brand presence across Perplexity, ChatGPT, Claude, Gemini, Grok, Copilot, DeepSeek, and Google AI Overviews. It adds Answer Engine Insights, prompt volumes, and shopping agent analytics, plus agents that generate AEO-optimized content. The platform targets larger marketing teams that want both visibility data and tools to act on it.
Pros
- Broad coverage of major AI answer engines
- Prompt volume and answer engine insights
- Agents for AEO content creation
- Shopping agent analytics for retail brands
Cons
- Priced and positioned for enterprise
- Demo-gated onboarding
- Can be more than small teams need
Best for: Enterprise marketing teams building an AEO program across many engines.
Otterly.AI
From $29/moOtterly.AI tracks where your brand appears and gets cited across ChatGPT, Google AI Overviews, Perplexity, and Copilot, with Claude, Gemini, and AI Mode as add-ons. It offers prompt research, AI search analytics, optimization guidance, and ChatGPT ads tracking. Plans start low and include unlimited team members with daily tracking.
Pros
- Low entry price with daily tracking
- Unlimited team members on all plans
- ChatGPT ads tracking included
- Clear prompt research and analytics
Cons
- Some engines only via add-ons
- Prompt limits on lower tiers
- API access on higher plans only
Best for: Solo marketers and small teams wanting affordable AI search monitoring.
Peec AI
From $89/moPeec AI tracks brand performance across AI search platforms using visibility, position, and sentiment metrics, with a dashboard built for marketing teams. Plans include prompt allotments, a choice of models, unlimited users, and daily tracking. It is used by brands and SEO agencies to benchmark against competitors.
Pros
- Clear visibility, position, and sentiment metrics
- Unlimited users on all plans
- Daily tracking frequency
- Competitor benchmarking built in
Cons
- Prompt and model limits by tier
- Single project on the starter plan
- Pricing details require sign-up
Best for: Marketing teams and agencies wanting a clean AI search analytics dashboard.
Scrunch AI
CustomScrunch AI monitors how your brand shows up in AI answers and tracks citations, while also analyzing AI agent traffic to your site and diagnosing how well AI can consume your content. It adds content delivery optimization for AI agents and product-level shopping insights. The platform is aimed at enterprise AI visibility and agencies.
Pros
- Combines monitoring with agent traffic analysis
- Site diagnostics for AI crawlability
- Product-level shopping insights
- Actionable optimization tips
Cons
- Enterprise-oriented
- Pricing not clearly listed
- Broad feature set can be complex
Best for: Enterprises wanting monitoring plus agent traffic and content delivery insight.
Goodie AI
CustomGoodie AI covers prompt research, visibility monitoring, optimization actions, and analytics that connect AI visibility to revenue. It includes an agent experience suite for understanding AI crawlers, a content studio, and an agentic commerce suite for product discovery. Free tools like an agent site audit and LLMs.txt generator are available.
Pros
- Visibility monitoring with attribution to revenue
- Prioritized optimization actions
- Agent experience and crawler insights
- Free audit and LLMs.txt tools
Cons
- Enterprise focus with demo-gated sales
- Pricing not transparent
- Large suite may exceed simple needs
Best for: Enterprises wanting AEO monitoring tied to attribution and content workflows.
Rankscale
From $99/moRankscale tracks brands, products, and ads across 17+ engines including ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, with no upsell for individual engines. It runs 94+ technical checkpoints for the signals AI engines use to cite content and offers intent-based prompt research. Plans are credit-based, with white-label and REST API options on higher tiers.
Pros
- 17+ engines tracked in one platform
- 94+ technical checkpoints for AI signals
- Intent-based prompt research
- White-label and API on higher plans
Cons
- Credit-based pricing can be hard to estimate
- Higher tiers needed for API and white-label
- Regional and answer volume limits by plan
Best for: Agencies and businesses wanting wide engine coverage with technical audits.
AthenaHQ
From $295/moAthenaHQ tracks and improves brand presence across ChatGPT, Perplexity, AI Overviews, Gemini, and Copilot, with prompt and response analysis, source and competitor insights, and content recommendations. A free tier includes credits to get started, and an Athena AI agent helps act on findings. It targets marketing teams across many industries.
Pros
- Free tier with starter credits
- Prompt and response analysis
- Source and competitor insights
- AI agent for acting on findings
Cons
- Credit-based usage limits
- Paid plans jump in price
- Some features tied to higher tiers
Best for: Marketing teams wanting an AEO command center with a free entry point.
Nightwatch
From $39/moNightwatch unifies Google rank tracking with AI citation tracking across ChatGPT, Claude, Gemini, and Perplexity through its Citation Intelligence feature. It bundles reporting, keyword research, a content writer, prompt research, site audit, and Looker Studio integration. Pricing is based on keywords tracked, with unlimited seats on every plan.
Pros
- Unifies SEO rankings with AI citations
- Unlimited seats, pay per keyword
- White-label reporting included
- Looker Studio and SEO MCP integrations
Cons
- Pricing scales with keyword volume
- AI tracking is newer than its SEO core
- Can be dense for beginners
Best for: SEO teams wanting rankings and AI citations in one tool with no seat fees.
Semrush
From $139.95/moSemrush pairs its large SEO toolkit with AI search features, including AI Brand Sentiment tracking and recommendations for getting recommended by AI assistants. Its MCP connects the dataset into AI assistants, and it covers keyword research, rank tracking, competitor analysis, and content. It fits teams that want AI visibility inside a full marketing platform.
Pros
- Massive established SEO dataset
- AI brand sentiment tracking
- MCP to connect data into AI assistants
- Full toolkit beyond AI visibility
Cons
- AI features add cost on top of core plans
- Can be overkill for AI-only needs
- Learning curve across the suite
Best for: Teams wanting AI visibility inside a complete SEO and marketing platform.
Ahrefs
From $129/moAhrefs added Brand Radar to track your brand's visibility across AI, built on its proprietary web index of trillions of pages and hundreds of millions of monthly AI prompts. It pairs this with Site Explorer, Keywords Explorer, Rank Tracker, and real-time brand mention tracking via Firehose. It suits teams that already rely on Ahrefs for SEO.
Pros
- Built on a very large proprietary web index
- Brand Radar tracks AI visibility
- Real-time brand mention tracking
- Strong core SEO toolset
Cons
- AI visibility is an add-on to its SEO core
- Pricing climbs with usage
- More than needed for AI-only tracking
Best for: SEO teams already on Ahrefs who want AI visibility in the same platform.
seoClarity
CustomSeoClarity is a unified SEO and AEO platform that adds AI Search Engine Tracking, AI Overviews tracking, and AI bot activity monitoring to its enterprise SEO suite. It includes rank intelligence, site audits, content tools, competitive insights, and data APIs. It is SOC 2 compliant and aimed at large organizations and agencies.
Pros
- AI search and AI Overviews tracking
- Deep enterprise SEO toolset
- AI bot activity monitoring
- SOC 2 compliant with data APIs
Cons
- Enterprise pricing and commitment
- Complex for smaller teams
- Pricing requires contact
Best for: Enterprises wanting AI search tracking inside a full SEO platform.
BrightEdge
CustomBrightEdge covers AI search and AEO with tools like AI Hyper Cube for demand intelligence, AI Agent Insights to track AI agent activity, and Agent Edge to serve AI-ready content. It rounds this out with keyword research, competitive analysis, site audit, content creation, and reporting. It is built for enterprise SEO teams.
Pros
- AI agent activity tracking
- AEO tooling with Agent Edge
- Strong enterprise SEO and reporting
- CMS and analytics integrations
Cons
- Enterprise pricing and sales process
- Broad platform can be complex
- Pricing not published
Best for: Enterprise SEO teams adding AI search visibility to an existing platform.
How to choose an AI visibility tracker
Start with model coverage. Confirm the tool tracks the specific assistants your buyers use, not just ChatGPT. Coverage of Perplexity, Gemini, Claude, Google AI Overviews, and Microsoft Copilot varies widely, and adding a model often changes your visibility picture completely.
Next, look at prompt volume and refresh frequency. A plan that caps you at 25 prompts refreshed weekly is fine for a narrow product, but a multi-category brand may need hundreds run daily. Ask how prompts are counted (per query, per model, per run) because that drives the real cost.
Finally, judge the actionability. The best tools do not just report a mention score; they show which URLs the model cited so you know which pages to improve. If a tool cannot tell you why a competitor gets recommended over you, it is a vanity dashboard.
Key features to look for
Citation and source analysis is the feature that separates useful tools from scoreboards. Knowing that Perplexity cited a Reddit thread and a competitor's comparison page tells you exactly where to invest content and PR effort.
Competitor benchmarking should let you track named rivals across the same prompt set, so you can see share of voice over time. Sentiment tracking adds context: being mentioned negatively is different from being recommended, and a raw mention count hides that.
Integrations matter for teams that already report in Looker Studio, BigQuery, or a Semrush and Ahrefs workflow. An API or scheduled export keeps AI visibility data next to your organic search metrics instead of trapped in a separate login.
Implementation tips
Build your prompt list from real customer language, not marketing copy. Pull questions from sales call notes, support tickets, and your site search logs. Include category prompts ("best CRM for startups") and branded prompts ("is [your brand] any good") so you see both discovery and reputation.
Set a baseline before you change anything, then measure monthly. LLM answers are non-deterministic, so a single run is noisy. Look at trends across several runs rather than reacting to one bad result. Tag prompts by funnel stage so you can prioritize the ones closest to purchase.
Frequently asked questions
What is AI visibility tracking?
It is the practice of measuring how and how often your brand appears in answers generated by AI assistants like ChatGPT, Perplexity, Gemini, and Claude, as well as AI summaries in search. Tools run a set of prompts on a schedule, analyze the responses, and report mention frequency, sentiment, and which sources the models cited.
How is this different from traditional SEO rank tracking?
Rank tracking measures your position on a search results page for a keyword. AI visibility tracking measures whether a model mentions or recommends you inside a conversational answer, where there are no ranked positions. The two overlap because AI answers often cite web pages, so strong SEO still helps, but you need different metrics to see AI performance.
Which AI models should a tracker cover?
At minimum, ChatGPT and Perplexity, since they drive the most consumer usage. Ideally also Google AI Overviews, Gemini, Claude, and Microsoft Copilot. Coverage varies by tool, so confirm the specific models before buying, especially if your audience skews toward one platform.
Can I influence what AI models say about my brand?
Partially. Models pull from web content, so improving the pages they cite, earning mentions on high-authority sources, and keeping structured, accurate information across the web all help. You cannot directly edit an answer, but you can shape the sources it draws from. Citation-level tracking shows you which pages to target.
How many prompts should I track?
Small brands with a focused product can start with 20 to 50 prompts covering their main categories and branded questions. Larger brands with multiple product lines often track several hundred. Quality matters more than quantity; prompts that mirror real buyer questions give you far more useful data than a long generic list.
Why do results change between runs?
LLM outputs are non-deterministic, meaning the same prompt can produce different answers each time. Model updates, personalization, and live web retrieval add more variance. This is why good tools run prompts repeatedly and report trends over time rather than a single snapshot.
How much do AI visibility tools cost?
Pricing ranges from around $20 to $50 per month for lightweight prompt trackers up to several hundred or thousands per month for enterprise platforms with large prompt volumes, daily refreshes, and API access. Cost usually scales with the number of prompts, models, and competitors you track, so map your needs before comparing plans.
The bottom line
Pick a tool with a free trial and load your top 20 to 30 real customer prompts before committing. Enterprise brands with multiple product lines should lean toward platforms with strong competitor tracking and API access; solo operators and small agencies get most of the value from lighter, prompt-focused trackers. Run a two-week pilot and check whether the citation data actually points you to fixable pages.