AI search visibility tools answer three separate questions: is a brand named in an AI response, is its website used as a source, and how much presence does it earn beside competing brands? The strongest choice depends less on dashboard size than on how the platform builds its prompt set, separates brand visibility from source visibility, repeats checks across engines and locations, and charges for that sampling.
Product coverage, plan limits, and public pricing were checked on July 31, 2026. Vendors can change supported engines, prompt allowances, billing terms, and regional availability.
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Mentions, Citations, and Share of Voice Are Different Signals
A brand mention means the product, company, or tracked entity appears in the generated answer. A website citation means a domain or URL is shown as a source or linked reference. These events can occur independently: an assistant may recommend a brand without linking to its website, or use a company page as background without naming the brand in the visible answer.
Peec AI separates brand visibility from source visibility and also distinguishes retrieved domains from explicitly cited sources. Its share-of-voice metric is based on a brand’s share of mentions among tracked brands. [Metrics documentation]
Ahrefs uses a different denominator: Brand Radar defines AI share of voice as a brand’s share of impressions compared with tracked competitors, with weighting across platforms. A 25% share-of-voice figure in one product may not equal 25% in another. Before comparing dashboards, check what counts as an appearance, which competitors are included, and whether platforms are weighted equally. [Metric definitions]
Category boundary: these products are not replacements for web analytics, classic keyword rank tracking, social listening, or conversion reporting. A useful measurement stack often pairs AI answer monitoring with traffic analytics and a traditional rank tracker so teams can compare conversational visibility with search positions and site visits.
AI Search Visibility Tool Comparison
| Platform | Measurement Approach | AI Coverage | Source Detail | Pricing Driver | Workflow Fit |
|---|---|---|---|---|---|
| Profound | Daily tracked prompts with answer-engine insights, agents, and traffic attribution | ChatGPT on Starter; three engines on Growth; up to nine on Enterprise | Citations, answer context, competitor visibility, and agent analytics | Plan tier, prompts, engines, and agent credits | Brands running an ongoing AEO program |
| Peec AI | Daily prompt tracking with brand, position, sentiment, and source metrics | User selects three models on published brand plans | Retrieved domains, citation rate, URLs, and source-versus-brand visibility | Prompts, projects, models, and country coverage | Marketing teams that want readable competitive reports |
| OtterlyAI | Prompt research, daily monitoring, citation analysis, and content audits | Four engines included on listed plans; Claude, Gemini, and Google AI Mode offered as add-ons | Link citations, domain rankings, brand reports, and GEO audits | Search prompts, add-on engines, API use, and audit volume | Solo marketers through mid-sized agencies |
| Semrush AI Visibility | Large prompt database, weekly brand analysis, daily custom prompt tracking, and crawler audit | ChatGPT, Google AI surfaces, Gemini, and Perplexity across different reports | Mentions, citations, sentiment, competitor gaps, and AI bot accessibility | Domains, prompts, users, reports, and selected Semrush plan | Teams that want AI monitoring beside SEO research |
| Ahrefs Brand Radar | Large search-backed prompt indexes plus optional custom prompt checks | Seven AI platforms in the published coverage list | Mentions, citations, retrieved pages, impressions, and AI share of voice | Platform indexes and prompt checks by engine, location, and frequency | SEO teams exploring broad market visibility |
| Scrunch | Custom prompts, industry prompts, personas, page audits, and agent traffic | ChatGPT, Claude, Gemini, Perplexity, Google AI Mode and Overviews, and Meta | Citation analysis, competitor position, crawl errors, and agent visits | Prompt allowance, personas, users, page audits, and plan tier | Teams connecting monitoring with site changes |
| ZipTie.dev | Check-based monitoring with query suggestions, summaries, and content recommendations | Google AI Overviews, ChatGPT, and Perplexity | Brand mentions, sentiment, citations, competitors, and full response text | Monthly AI search checks, summaries, and content optimizations | SEO-led teams focused on three core surfaces |
| SE Visible | Prompt portfolio monitoring with sources, sentiment, competitors, and reports | ChatGPT, Gemini, Google AI Mode, Google AI Overviews, and Perplexity | Brand mentions, linked appearances, source domains, and sentiment | Prompts, analyzed answers, projects, and plan tier | Teams that need a clear prompt-to-answer allowance |
Dedicated Platforms for Daily AI Answer Monitoring
Profound for Multi-Engine Programs and Attribution
Profound combines answer-engine tracking with content agents and analytics for AI-sourced traffic. The Starter plan is listed at $99 per month when billed yearly, with ChatGPT tracking, 50 prompts, and 100 agent credits. Growth is listed at $399 per month when billed yearly and expands monitoring to three answer engines and 100 prompts. Enterprise adds wider engine coverage, multiple companies, tailored prompt plans, and enterprise controls. [Official pricing]
This is a closer fit for a company treating AI visibility as an operating program rather than a monthly mention report. The trade-off is that the lower plan is limited to one engine, so cross-engine comparison begins at a higher tier.
Peec AI for Clear Brand and Source Reporting
Peec AI organizes reporting around visibility, share of voice, sentiment, position, prompts, and sources. Its published brand plans scale from 50 prompts and one project to 350 prompts and five projects; each listed self-serve tier lets the user choose three models and includes unlimited users. Multi-country monitoring and Looker Studio integration appear on the Advanced tier. [Plan comparison]
The strongest reason to shortlist Peec is its separation of brand visibility from source visibility. That helps expose two different gaps: the brand may be recommended while its own content earns few links, or the domain may supply information without receiving a visible brand mention.
OtterlyAI for a Lower Entry Point and Content Audits
OtterlyAI starts at $29 per month for 15 search prompts. Its listed Lite, Standard, and Premium plans include daily monitoring across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot, while Claude, Gemini, and Google AI Mode are offered as add-ons. Higher tiers add more prompts, API and MCP access, agent analytics, larger audit allowances, and Looker Studio support. [Official pricing]
OtterlyAI suits teams that want monitoring, prompt research, and page-level audit guidance without starting at an enterprise budget. Buyers should calculate the full cost after extra engines and prompt packs, because the four included surfaces do not represent the entire coverage shown elsewhere on the product site.
SE Visible for High-Volume Prompt Portfolios
SE Visible presents its allowances in prompts and approximate AI answers analyzed each month. The Basic plan is listed at $99 per month with 200 prompts, about 12,000 analyzed answers, three projects, and five answer engines. Core raises those limits to 450 prompts, about 27,000 answers, and five projects.
This model is easy to understand when a team already knows how many prompt themes and projects it needs. It also gives buyers a clearer idea of response volume than products that publish prompt counts without showing how often or across how many engines they are executed.
SEO Suites That Add AI Visibility to Existing Search Data
Semrush When AI Tracking Must Sit Beside SEO Work
Semrush combines several collection layers rather than relying on one dashboard score. Brand Performance uses a large prompt repository and updates weekly, custom Prompt Tracking runs selected prompts daily by platform and location, and AI Search Site Audit checks site access against AI crawlers. The Base AI Visibility plan is listed at $99 per month per domain when billed annually and includes 25 custom prompts. [Official pricing]
Semrush is useful when the same team already works with keyword research, site audits, competitor analysis, and reporting. It is less economical when many domains, users, or prompt packs are required, because the entry price is tied to one domain and a relatively small custom prompt allowance.
Ahrefs Brand Radar for Large-Index Discovery
Ahrefs Brand Radar combines a large search-backed prompt index with custom tracking. Ahrefs states that the discovery index covers more than 405 million search-backed prompts across seven AI platforms, while custom prompts can run monthly, weekly, or daily. Brand Radar also connects AI answers with cited pages, retrieved pages, web visibility, YouTube, Reddit, and TikTok signals. [Product documentation]
Its value is discovery breadth: a user can research brands, products, authors, or regions without first building every prompt manually. Custom monitoring is priced by checks, where one prompt executed on one platform in one location consumes a check. This is a different buying decision from the broader Ahrefs alternatives comparison, which focuses on backlink, keyword, audit, and rank-tracking work rather than AI answer measurement.
Platforms That Connect Monitoring With Page Changes
Scrunch for Persona-Based Monitoring and Agent Traffic
Scrunch combines custom prompts with industry prompts, personas, page audits, citation analysis, and agent traffic. Starter is listed at $250 per month on annual billing or $300 month to month, with 350 custom prompts, 1,000 industry prompts, three personas, five page audits, and three users. Growth expands the prompt, persona, audit, and user allowances. [Official pricing]
The persona layer is useful when a company needs to test how different buyer roles, stages, or markets shape generated answers. Scrunch also extends beyond monitoring through crawl-error detection, page audits, and its Agent Experience Platform. Teams should decide whether they need that delivery layer before paying for it; a reporting-only buyer may not use the full product scope.
ZipTie.dev for Check-Based Tracking Across Three Core Surfaces
ZipTie.dev tracks Google AI Overviews, ChatGPT, and Perplexity, then adds query suggestions, full response text, AI data summaries, and content optimization recommendations. Its published Standard allowance includes 1,000 AI search checks, 50 summaries, and 100 content optimizations per month; Pro doubles those allowances. [Feature documentation]
ZipTie is narrower than products covering six or seven answer engines, but that can be useful when the three listed surfaces match the real customer journey. Its check-based model also makes the monitoring volume visible, which helps prevent a team from confusing a prompt count with the number of actual executions.
Prompt Sampling Can Change the Reported Winner
AI answers are not fixed search results. The same prompt can return different brands and sources after a model update, a web-index change, a location change, or another run at a different time. Personal memory and account context can also make a manual check differ from a neutral monitoring run.
Repeated-sampling research has found substantial variation in citation distributions and unstable rankings across runs. That means a one-time scan should be treated as a snapshot, not a stable market position. [Measurement study]
A defensible prompt portfolio should record:
- The exact prompt and the buyer intent it represents
- The AI engine, model or surface, country, language, and location
- The collection frequency and whether the run uses a neutral session
- The tracked brand names, product aliases, and competitor set
- Whether a result counts mentions, links, retrieved sources, positions, or impressions
- The raw response or screenshot needed to audit unusual movements
A tool that stores raw answers and source URLs is easier to audit than one that exposes only a composite score. The score is useful for trend scanning, but the underlying responses explain whether a change came from a new mention, a lost citation, a competitor entering the answer, or a denominator change.
The Real Pricing Unit Is Usually an Executed Check
Two plans with 100 prompts can produce very different monitoring volumes. The practical calculation is:
Monthly checks = prompts × AI surfaces × locations × runs per month
For example, 100 prompts checked daily across five engines and two locations require about 30,000 executions in a 30-day month.
Ahrefs states this model directly: one prompt on one platform in one location uses one check, and Claude custom prompts consume more checks under its current setup. Profound, OtterlyAI, Peec AI, Scrunch, ZipTie, and SE Visible package the same underlying workload through different combinations of prompts, engines, answer volume, projects, and tiers. Compare the allowance at the sampling plan you will actually run, not at the smallest advertised plan.
- Single-brand baseline: a compact prompt set covering category discovery, comparisons, use cases, objections, and branded questions
- Multi-market monitoring: separate checks for country, language, and location where answers materially differ
- Agency reporting: enough projects, client seats, exports, and raw-answer access to audit each account
- Active optimization: daily or frequent checks for a smaller set of high-value prompts, with broader discovery scans run less often
Choose the Tool by the Decision It Must Support
For a First Paid Baseline
Choose OtterlyAI when a low entry price, daily monitoring, citations, and basic content audits matter more than having every engine included. Choose SE Visible when a larger prompt allowance and a clear answer-volume estimate are easier to budget.
For Reporting Clarity
Choose Peec AI when the team needs daily brand, source, sentiment, position, and share-of-voice reporting with unlimited users on the listed plans. Verify that the selected three-model coverage matches the engines that matter.
For Existing SEO Operations
Choose Semrush when AI visibility must sit beside site audits, keyword research, competitor work, and reports. Choose Ahrefs Brand Radar when large-index discovery and source research are more valuable than a monitoring-only dashboard.
For Monitoring Plus Execution
Choose Scrunch when personas, agent traffic, page audits, and an AI-facing delivery layer belong in the same workflow. Choose ZipTie.dev when Google AI Overviews, ChatGPT, and Perplexity are enough and the team wants check-based tracking with content recommendations.
For a Larger AEO Program
Choose Profound when answer-engine insights, content agents, AI traffic attribution, enterprise controls, and wider multi-engine coverage justify a higher plan. The lower tier is not the right test for a team that needs cross-engine reporting from day one.
When Manual Checks Are Enough
Stay with a small manual sample when the goal is early discovery, not recurring reporting. Move to paid monitoring once the team needs repeatable prompts, historical changes, competitor comparison, source exports, regional checks, or evidence that can be reviewed by clients and stakeholders.
The most defensible setup tracks brand mentions, source citations, and competitive share separately, then connects those signals to traffic and business outcomes. A rising share-of-voice score is useful, but it does not prove that the company website earned citations, that AI-referred visitors converted, or that the same result will persist across engines. Select the platform whose data model can answer the next decision your team must make.