Best AI Search Rank Tracking & Visibility Tools

How to Select an AI Visibility Tool

AI search is no longer experimental.

ChatGPT, Google AI Overviews, Gemini, Claude, Perplexity AI, and Microsoft Copilot are shaping brand discovery in real time. Buyers are making decisions before they ever click a blue link.

That shift created a new category: AI visibility tools.

But based on combined evaluations across enterprise reviews, agency testing, independent trials, and SEO platform comparisons, selecting a platform is not just about tracking mentions. The strongest recurring themes fall into eight evaluation categories.

1. Coverage: Are You Actually Seeing the Full Picture?

Most tools look impressive. Until you realize they only track two or three engines.

Coverage is the first filter.

Evaluate:

• Does it track ChatGPT, Google AI Overviews,AI Mode, Gemini, Claude and Perplexity?
• Are certain engines locked behind enterprise tiers?
• Does the platform rely on UI-based scraping or API-based pulls?
• Can you track by region and language?

Why this matters:

LLM answers vary significantly by platform, geography, and even interface version. A brand may appear in ChatGPT but disappear in Google AI Overviews. Visibility in the US may differ from Belgium. API access often provides partial results, while UI scraping tends to reflect what users actually see.

Limited coverage equals distorted data.

2. Prompt Methodology: Garbage In Equals Garbage Out

Every serious review highlights the same structural limitation:

These tools only track the prompts you tell them to track.

So the real question becomes: how strong is your prompt framework?

Evaluate:

• Does the tool help generate prompts?
• Can you import keyword lists and convert them into AI-ready prompts?
• Can you segment by branded vs unbranded queries?
• By funnel stage?
• By persona?
• By intent type?
• Does it support repeated runs for statistical reliability?

Advanced platforms allow:

• Bulk uploads
• Negative framing prompts
• Multi-language segmentation
• Confidence scoring based on repeated testing

Why this matters:

Weak prompt design produces misleading visibility data. If your prompt set is narrow or biased, your insights will be too.

3. Data Depth: Insights or Just Mentions?

“You were mentioned” is not a strategy.

Many platforms stop there.

Look for depth:

• Share of Voice scoring
• Sentiment analysis
• Citation tracking, including which domains influence answers
• Quote-level visibility, meaning position inside the response
• Topic clustering and tagging
• Trend visualization over time
• Source domain breakdown

Red flag:

If you are manually interpreting exports in spreadsheets to understand what happened, the tool is not doing enough analytical work.

Data should translate into signal, not manual effort.

4. Actionability: Does It Tell You What To Do?

This is where platforms diverge sharply.

Strong tools provide:

• Content optimization suggestions
• GEO or AEO audits
• Technical crawler analysis
• AI bot indexation checks
• Prompt gap analysis
• Competitor gap recommendations
• Source improvement suggestions

5. Enterprise Readiness and Scale

Tracking ten prompts is easy.

Tracking one thousand across multiple markets is not.

If AI search matters to your organization, evaluate:

• Can it handle hundreds or thousands of prompts?
• Multi-brand environments?
• API access?
• Dashboard integrations?
• Historical data retention?
• User seat pricing?
• Statistical repeat testing?

Some platforms work well for freelancers but struggle at scale. Others are clearly built for enterprise environments.

Choose based on where you are headed, not just where you are today.

6. Reliability and Transparency

This category is young and unstable.

Some tools are well funded, with experienced SEO or AI teams. Others are solo founder experiments built quickly to ride momentum.

Ask:

• Is the data collection methodology transparent?
• Do they publish research?
• Are updates frequent?
• Is the team experienced in search?
• Is the product infrastructure credible?

Durability matters. If the platform disappears in twelve months, your historical data disappears with it.

7. Pricing Model: The Hidden Complexity

Headline pricing is rarely the full story.

Evaluate:

• Cost per prompt
• Cost per engine
• Add-on fees
• User seat charges
• Overage costs
• Enterprise-only features
• Annual commitments

Some affordable tools become expensive once scaled across multiple engines and repeated testing.

Model your real usage before committing.

8. Technical AI Monitoring: Where the Market Is Heading

More advanced buyers are already moving beyond surface-level visibility.

They are asking for:

• AI crawler log analysis
• Referral tracking from AI chatbots
• Weighted position scoring
• Model-specific performance breakdown
• Persona-level tracking
• Brand risk alerts

This is where the category is evolving. Not just visibility, but observability.

9. Data Residency: Infrastructure Is a Strategic Decision

Server location is often treated as a technical footnote.

It is not.

Where your data is stored and processed affects 

• Compliance and regulatory exposure
• Jurisdictional risk
• Procurement and customer requirements
• Performance and latency
• Strategic independence
• Internal governance friction

For AI visibility tools that process prompts, analytics data, user behavior, and sometimes customer information, infrastructure decisions carry strategic weight. In particular, this is a question we often get from European enterprise customers. They really want their data stored and processed in Europe.

The Strategic Reality

There is no perfect tool.

This market is:

• Early stage
• Rapidly evolving
• Non-deterministic, because LLM outputs change constantly
• Lacking standardized metrics

So selection should be based on your maturity level, scale, budget, and internal capabilities.

A Simplified Decision Framework

If you are:

Freelancer or SMB
Prioritize affordability and ease of setup. You need signal quickly, not infrastructure complexity.

Agency
Prioritize prompt flexibility, reporting, competitor tracking, and client-friendly exports. Think of unlimited users and projects. 

Enterprise
Prioritize coverage depth, statistical validity, integrations, and scale.

Here is an overview about the best AI visibility tools:

Rankshift

Rankshift is an AI visibility and brand monitoring platform built specifically for tracking how brands appear inside large language model (LLM) outputs. 

Rather than focusing on traditional search rankings, it measures presence, citations, and competitive positioning inside AI-generated answers from systems like ChatGPT, Gemini, Claude, Perplexity, Mistral, Copilot, and Llama.

Rankshift is designed for SEO teams, growth marketers, and brand strategists working on Generative Engine Optimization (GEO) and AI search visibility. Its core value proposition is narrow but clear: give brands direct visibility into how AI systems describe, cite, and position them.

Rankshift does not attempt to be a full SEO suite. It concentrates on AI answer monitoring and related analytics, including prompt tracking and crawler-level insights.

Founded: 2025
Founders: Pieter Verschueren & Denis Debacker
Headquarters: Deerlijk, Belgium

Key features

• Multi-model AI visibility tracking: Tracks brand mentions and positioning across major LLMs including ChatGPT, Gemini, AI Mode, AI Overviews, Claude, Perplexity, Mistral, Copilot, and Llama. This enables cross-model comparisons rather than relying on a single engine.
• Prompt-based monitoring system: Users define prompts that reflect real-world user questions. Rankshift runs these prompts across selected AI systems and records outputs, mentions, and citations.
• Smart prompt suggestions: Provides prebuilt or recommended prompts aligned with category-level queries, helping teams avoid starting from a blank slate.
• Competitor benchmarking inside AI answers: Identifies which competitors appear in the same responses and highlights where they are mentioned instead of (or ahead of) your brand.
• Source and citation tracking: Captures which domains and URLs AI models cite when answering prompts related to your brand or industry.
• Advanced citation gap analysis: Shows where AI systems consistently cite third-party sources over your own content for the same prompts, surfacing structural authority gaps.
• Actionable GEO insights: Goes beyond raw visibility data by pointing to breakdown areas in prompts, models, or citation sources where improvements are needed.
• AI crawler analytics: Tracks how AI bots interact with your website. This adds a technical observability layer that many AI visibility tools do not address.
• Flexible prompt frequency control: Prompts can be scheduled daily, weekly, or monthly instead of being forced into fixed daily runs, allowing budget optimization.
• Unlimited users and projects: Designed to scale from small teams to enterprise use cases without per-seat restrictions.
• Unlimited pitch projects for agencies: Agencies can spin up AI visibility reports for every prospect without worrying about project limits or burning through credits.

Pros

• Strong multi-LLM coverage across major generative platforms rather than focusing on one ecosystem.
• Direct insight into AI answer positioning, not just traditional SEO metrics.
• Competitor visibility benchmarking within the same AI-generated responses.
• Granular citation tracking and gap analysis, useful for GEO strategy development.
• AI crawler analytics, providing log-level insight into how generative engines discover and process site content.
  
• Flexible credit-based pricing, allowing prompt scheduling control and cost optimization.
• Unlimited users and projects, making it viable for agencies and larger teams.
• Focused product scope, avoiding feature bloat common in broader SEO platforms.

Cons

• Requires thoughtful prompt setup: As with most LLM tracking tools, results depend heavily on the quality and coverage of chosen prompts. Poor prompt strategy limits signal quality.
• Credit-based system requires management: While flexible, improper scheduling or excessive prompt runs could deplete credits quickly if not planned strategically.

Pricing

Rankshift uses a credit-based pricing model.

• 30-day free trial available
• Paid plans start at €77 per month
• Unlimited users and unlimited projects included
• Flexible scheduling (daily, weekly, monthly prompt runs)

Unlike tools that force daily checks for every tracked prompt, Rankshift allows control over frequency, which can significantly improve cost efficiency.

Plan	Cost / Month	Prompts Included	Users Included	Websites / Projects
Starter	~€77 (monthly)	150 prompts	Unlimited	Unlimited
Professional	€177	350 prompts	Unlimited	Unlimited
Business	€399	850 prompts	Unlimited	Unlimited
Enterprise	Custom	Custom	Unlimited	Unlimited

Verdict

Rankshift is a focused, purpose-built AI visibility monitoring platform for teams serious about LLM Optimization.

It is particularly well-suited for:

• SEO teams expanding into AI search monitoring
• Brands needing cross-model visibility reporting
• Agencies managing multiple AI visibility campaigns
• Technical teams wanting crawler-level AI observability

It is less suitable for:

• Teams looking for a traditional all-in-one SEO suite
• Organizations that want a simplified, high-level visibility score without deeper diagnostics

Its strongest differentiator is the combination of multi-model tracking and AI crawler analytics. That pairing provides both surface-level answer visibility and backend discovery insight.

Rankshift does not try to compete on breadth. It competes on clarity of AI answer visibility and for GEO-focused teams, that specialization is its primary strength.

Otterly.AI

Otterly.AI is an AI search visibility and brand monitoring platform designed to track how brands appear across major generative search engines such as Google AI Overviews, ChatGPT, Perplexity, and Microsoft Copilot. It focuses on prompt-level monitoring, citation tracking, and brand mention analysis to help businesses understand and improve their presence in AI-generated answers.

Positioned as an affordable, self-serve solution, Otterly.AI is particularly aimed at freelancers, small businesses, startups, and SEO professionals who want visibility into AI search without enterprise-level costs. It emphasizes ease of setup and automated tracking, though it trades off some depth and scalability compared to more advanced Otterly AI alternatives.

Founded: 2024
Founders: Thomas Peham, Josef Trauner and Klaus-M. Schremser
Headquarters: Persenbeug, Austria

Key Features

• Brand Monitoring Across AI Engines: Tracks brand mentions and visibility across Google AI Overviews, ChatGPT, Perplexity, and Microsoft Copilot. Add-ons are available for Google AI Mode and Gemini.
• Prompt-Level Tracking: Allows users to monitor specific prompts and see how their brand appears in AI-generated answers. However, prompts must be entered one at a time, which limits scalability.
• Link Citation Analysis: Audits which URLs are cited by AI platforms and tracks citation performance over time. Includes reporting on citation frequency and history.
• Brand Visibility Index & KPIs: Provides visibility metrics and performance indicators to quantify AI presence.
• GEO Audit Feature: Offers a generative engine optimization (GEO) audit to identify opportunities to optimize content for better LLM inclusion.
• AI Prompt Generator: Suggests AI search prompts based on entered keywords or a website (up to 10 inputs), helping users discover prompts to track.
• Automated Weekly Reports: Generates recurring reports summarizing AI visibility performance.
• Keyword-to-Prompt Conversion: Converts traditional SEO target keywords into related LLM prompts, bridging SEO and GEO workflows.
• Search Volume Estimation (AI Prompts): Estimates search volume for AI prompts per platform, though accuracy is uncertain.
• Exportable Reports: Allows data export for reporting and client sharing.

Pros

• Affordable Entry Point: Among the lowest-cost tools in the AI visibility space, with plans starting around $25–$29 per month.
• Accessible for Small Teams: Specifically recommended for small businesses, freelance SEOs, and startups exploring AI search monitoring.
• Straightforward Setup: Simple onboarding process and easy keyword-to-prompt conversion for SEO users.
• Clear Focus on Core AI Tracking: Delivers prompt tracking, citation audits, and brand mention monitoring without unnecessary enterprise complexity.
• Positive Early User Feedback: Reports of strong user satisfaction, including high ratings on Product Hunt and OMR Reviews.
• Time Savings Over Manual Checks: Designed to replace manual AI answer checking, with reported time savings.
• Case Study Evidence: A case study reports a client achieving #1 positioning in ChatGPT for specific queries.

Cons

• Limited Prompt Scalability: Prompts must be added one at a time, which makes large-scale tracking inefficient. Given LLM variability, meaningful tracking often requires hundreds of queries.
• Clunky User Interface: Described as not very intuitive and somewhat arcane in design.
• Lacks Advanced Insights: Missing deeper, data-driven actionable insights and trend analysis.
• No AI Crawler Visibility Analysis: Does not provide technical insights into how AI bots crawl or index your site.
• Limited Engine Coverage in Base Plans: Some AI engines require add-ons, and coverage may not match more enterprise-focused competitors.
• Uncertain Data Methodology: The presence of screenshots suggests scraping rather than direct API integrations, which may raise questions about consistency and methodology transparency.
• Search Volume Estimates May Be Unreliable: AI prompt search volume is estimated, with unclear methodology.
• Brand Confusion Risk: Similarity in name to Otter.ai may complicate research and brand differentiation.
• No AI crawler analytics

Pricing

Otterly.AI uses tiered pricing based primarily on the number of tracked prompts.

• Lite plan starts at $25/month (annual billing) with daily tracking of 15 prompts.
• Starter tiers are listed from $29/month for 10 tracked prompts.
• Standard plan at $160/month includes tracking for 100 prompts, with additional prompt bundles available.
• Higher tiers scale up to $989/month for 1,000 prompts.
• Free trial available.

Plan	Cost / Month	Prompts Included	Users Included	Websites / Projects
Lite	~$25 (annual)	15 prompts	Not specified	1 domain (implied)
Starter	$29	10 prompts	Not specified	Not specified
Standard	$160	100 prompts	Not specified	Not specified
Enterprise	Up to $989	1,000 prompts	Not specified	Not specified

(Seat limits and multi-domain details are not clearly specified in available documentation.)

Verdict

Otterly.AI is best described as an entry-level to mid-tier AI search visibility tool.

It performs well for:

• Freelancers and small agencies
• Startups testing AI visibility
• SEO teams wanting to bridge keyword tracking and LLM monitoring
• Businesses needing basic citation and mention tracking without enterprise pricing

It is less suited for:

• Enterprises requiring large-scale, statistically robust prompt sampling
• Brands needing AI crawler diagnostics and deep technical audits
• Teams demanding advanced trend modeling, longitudinal analytics, or broad multi-model coverage
• Agencies managing hundreds or thousands of prompts per client

The platform’s affordability and straightforward workflow are its biggest strengths. However, limitations in prompt scalability, advanced analytics, and technical transparency mean it functions more as a practical starting point than a comprehensive AI observability system.

For small teams exploring generative engine optimization (GEO), Otterly.AI is a rational first step. For large brands treating AI search as a mission-critical channel, it will likely need to be supplemented—or replaced—by more robust platforms.

Peec AI

Peec AI is an AI search visibility and brand monitoring platform built to help marketing, SEO, and growth teams understand how their brand appears inside AI-generated answers. As generative engines like ChatGPT, Gemini, Claude, and Perplexity increasingly shape buyer research, Peec AI focuses on tracking prompt-level visibility, citations, and competitive presence across these platforms.

Positioned as a cost-effective alternative to higher-priced enterprise tools, Peec AI aims to give teams practical visibility into AI search performance without requiring enterprise-level budgets. 

Founded: 2025
Founders: Marius Meiners, Tobias Siwona & Daniel Drabo
Headquarters: Berlin

Key features

• Prompt-based visibility tracking: Peec AI runs selected prompts across major AI engines and tracks whether and how your brand appears in responses. This includes branded, commercial, and informational prompts.
• Multi-engine coverage: Tracks brand visibility across platforms such as ChatGPT, Gemini, Claude, and Perplexity, giving a cross-LLM view rather than single-engine monitoring.
• Citation tracking: Identifies when your website or specific URLs are cited in AI-generated answers, helping teams understand which pages influence LLM responses.
• Competitor benchmarking: Compares your visibility against competitors to measure share of voice and identify gaps where competitors are being recommended more often.
• Visibility scoring and performance metrics: Provides quantifiable metrics (e.g., share of voice, mention frequency) to track performance trends over time rather than relying on isolated snapshots.
• Actionable insights and smart suggestions: Offers recommendations to improve brand presence in AI responses, including guidance on content gaps and prompt coverage.
• Prompt management interface: Allows teams to define and manage tracked prompts directly within the UI, similar to traditional rank tracking tools for SEO.

Pros

• Strong price-to-value ratio: Frequently highlighted as one of the most cost-effective AI search visibility tools, especially compared to high-end enterprise platforms.
• Mid-market accessibility: Positioned below the industry’s higher pricing tiers while still offering broad LLM coverage and competitive analysis.
• Clear competitive benchmarking: Makes it easy to see when competitors are outperforming you in AI-generated recommendations.
• Cross-platform tracking: Covers major AI engines instead of focusing on a single chatbot environment.
• Structured, focused interface: Designed specifically for AI search tracking rather than being a bolt-on feature inside a broader SEO suite.

Cons

• Prompt-dependent tracking model: Like most tools in this category, Peec AI primarily tracks prompts you define. If you don’t know which prompts matter, you risk missing visibility opportunities.
• Limited AI model coverage in plans: Plans typically include tracking for ChatGPT, Perplexity, and Google AI Overviews. Access to additional engines such as Gemini, AI Mode, and potentially other emerging LLM environments requires an additional fee. This can increase total cost if broad multi-engine coverage is essential.
• Limited transparency into methodology details: Compared to some enterprise-grade platforms, public information on scraping vs. API usage, refresh cadence, and sampling methodology is less detailed.
• Less enterprise depth than premium competitors: While cost-effective, it may not match the reporting complexity or advanced analytics offered by higher-priced enterprise platforms.
• Dependent on LLM variability: Since AI responses can change based on timing and prompt phrasing, results may vary even under controlled testing conditions.
• No AI crawler analytics

Pricing

• Commonly listed at $99 per month in comparative analyses.
• Positioned below the reported industry average of $337/month for AI visibility tracking tools.

Plan	Cost / Month	Prompts Included	Users Included	Websites / Projects
Starter	~€89 (~$95–$103)	~25 prompts	Unlimited	Not clearly specified
Pro	~€199 (~$217–$230)	~100 prompts	Unlimited	Not clearly specified
Enterprise	~€499+ (~$545+)	~300+ prompts	Custom	Custom

This pricing places Peec AI firmly in the mid-tier category: more affordable than enterprise platforms like Profound or Semrush’s AI toolkits, while offering broader functionality than entry-level tools.

Verdict

Peec AI is a strong mid-market AI visibility tracking platform that balances affordability with meaningful functionality. It is best suited for:

• SEO teams expanding into Generative Engine Optimization (GEO)
• Growth and marketing teams needing visibility into AI brand mentions
• Agencies looking for scalable but cost-conscious AI search tracking
• Brands that want competitive benchmarking across multiple LLMs

It may not be the best fit for:

• Large enterprises requiring deep enterprise integrations, advanced API-level customization, or extensive reporting infrastructure
• Teams that need automated prompt discovery rather than manual prompt definition
• Organizations demanding complete methodological transparency and granular sampling controls

Profound

Profound, founded in 2024, is an enterprise-focused AI visibility and brand monitoring platform designed to help companies understand how they appear inside AI-generated answers. As AI search engines and large language models (LLMs) like ChatGPT, Gemini, Claude, and Perplexity increasingly shape brand perception, Profound positions itself as a solution for tracking, analyzing, and optimizing brand presence within these systems.

The platform is primarily aimed at enterprise brands, large marketing teams, and organizations that require deep observability into AI-driven search environments.

Founded: 2024
Founders: James Cadwallader & Dylan Babbs
Headquarters: New York City, United States

Key Features

• AI Visibility Tracking Across Multiple LLMs: Profound monitors brand mentions and responses across major AI systems, including ChatGPT, Gemini, Claude, Perplexity, and AI-enhanced search environments. It runs large volumes of synthetic prompts to replicate real-world AI interactions.
• Visibility Scoring & Share of Voice Metrics: The platform quantifies how often a brand appears in AI-generated responses compared to competitors, translating raw mention data into structured visibility metrics.
• Sentiment & Brand Positioning Analysis: Profound analyzes the tone and context in which brands are discussed by AI models, helping teams understand whether they are framed positively, neutrally, or negatively.
• Competitive Benchmarking: Users can compare AI visibility performance against competitors, identifying where rivals are gaining share within AI responses and which prompts drive that advantage.
• Prompt-Level Testing & Monitoring: The tool allows structured tracking of predefined prompts across different models, enabling organizations to test specific commercial or branded queries systematically.
• Citation & Source Analysis: Profound identifies which domains and URLs AI systems rely on when generating responses about a brand, supporting content strategy adjustments.
• Advanced Reporting & Deep Analysis: The platform supports detailed breakdowns by model, topic, sentiment, and prompt cluster. It is built to serve reporting needs for large teams and executive stakeholders.

Pros

• Strong enterprise positioning: Frequently identified as an enterprise-grade solution, particularly suitable for large organizations requiring comprehensive monitoring.
• Robust multi-engine coverage: Tracks visibility across a broad ecosystem of AI platforms, not just a single LLM.
• Advanced sentiment and contextual analysis: Goes beyond mention counting by evaluating tone and positioning within AI-generated outputs.
• Comprehensive share-of-voice measurement: Offers structured metrics to quantify brand presence relative to competitors.
• Competitive intelligence capabilities: Enables benchmarking against rivals to identify prompt-level gaps and positioning opportunities.
• High prompt volume capability: Designed to run synthetic queries at scale, supporting broad coverage across industries and use cases.

Cons

• High pricing compared to competitors: Frequently cited as one of the most expensive AI visibility platforms on the market, making it less accessible to smaller teams.
• Overkill for smaller brands: Many features and scale capabilities may exceed the needs of startups or small marketing teams.
• Prompt dependency limitation: Like most AI visibility tools, it relies heavily on predefined prompts. Without strong prompt strategy, coverage may miss relevant queries.
• Market immaturity risk: The AI visibility category is still evolving, and measurement variability exists due to the non-deterministic nature of LLM outputs.
• Synthetic query model limitations: Even with advanced simulation methods, LLM outputs can fluctuate, meaning reported visibility may vary over time.

Pricing

Profound uses tiered pricing based on AI engine coverage and monthly response volume.

• Starter plan starts at $99/month, only includes ChatGPT tracking, 50 prompts, and 1,500 responses per month (1 language, 1 region).
• Growth plan at $399/month expands to ChatGPT, Perplexity, and Google AI Overviews, with 100 unique prompts and 9,000 responses per month (1 language, 1 region).
• Enterprise plan offers custom pricing, with expanded engine coverage (including Gemini, Copilot, Claude, Grok, Meta AI, DeepSeek, and more), plus custom prompt limits, languages, and regions.

Plan	Cost / Month	Prompts Included	Users Included	Websites / Projects
Starter	$99	50 prompts	1	1
Growth	$399	100 prompts	3	1
Enterprise	Custom pricing	Custom	Custom	Custom

Overall, the Starter plan is quite limited compared to most AI search tools on the market. With tracking restricted to ChatGPT, just 50 prompts, and 1,500 monthly responses, it offers relatively shallow visibility coverage. Many competing platforms provide multi-engine tracking or higher prompt allowances at similar or lower entry-level pricing. 

Verdict

Profound is a serious, enterprise-focused AI visibility platform built for organizations that treat AI search monitoring as a strategic priority rather than an experimental initiative.

It is best suited for:

• Enterprise brands with significant brand equity at risk in AI environments
• Large SEO, PR, and brand marketing teams
• Organizations needing structured reporting and competitor intelligence at scale
• Companies seeking share-of-voice measurement across multiple AI platforms

It is likely not ideal for:

• Small businesses with limited budgets
• Teams experimenting casually with AI search tracking
• Marketers who only need lightweight prompt monitoring

Scrunch AI

Scrunch AI, founded in 2023, is an AI search rank tracking and visibility tool designed to help companies understand how they appear across large language models (LLMs) and AI-powered search environments. It focuses on tracking brand mentions, citations, and competitive positioning within platforms such as ChatGPT, Gemini, Claude, and Perplexity.

Positioned primarily for enterprise and growth-stage companies, Scrunch AI aims to give marketing, SEO, and brand teams visibility into how AI systems recommend, describe, and cite their brand. 

Founded: 2023
Founders: Chris Andrew & Robert MacCloy
Headquarters: Salt Lake City, Utah.

Key features

• Multi-LLM Visibility Tracking: Scrunch AI monitors brand presence across major AI answer engines and chatbots, including ChatGPT, Gemini, Claude, and Perplexity. This enables teams to compare visibility across platforms rather than relying on a single source of data.
• Prompt-Based Monitoring: Like most AI visibility tools, Scrunch AI allows users to input specific prompts (e.g., “best CRM for accounting firms”) and track whether and how their brand appears in responses. This mirrors traditional rank tracking but in AI environments .
• Citation and Mention Tracking: The platform identifies when a brand is directly recommended and when it is cited as a source. This distinction is critical in AI environments where being mentioned is different from being referenced as authoritative.
• Competitive Benchmarking: Scrunch AI compares brand visibility against competitors across tracked prompts, helping teams quantify share of voice and identify gaps in AI recommendations.
• Enterprise-Focused Analytics: Scrunch AI is positioned as a high-tier solution with robust analytics capabilities, likely designed to support larger teams and reporting needs .

Pros

• Strong enterprise positioning: Scrunch AI is frequently grouped with top-tier, well-funded AI visibility platforms, suggesting product maturity and stability .
• Broad AI engine coverage: It tracks visibility across multiple LLM platforms rather than focusing on a single AI source .
• Clear competitive benchmarking focus: Designed to help brands understand not just their presence, but how they compare against competitors in AI-generated responses.

Cons

• High price point: Scrunch AI is listed at approximately $250/month, placing it well above many entry-level alternatives . This may limit accessibility for small businesses or solo operators.
• Prompt discovery limitations: Like most tools in this category, it relies heavily on user-defined prompts. This means users must already know which queries to track, creating potential blind spots .
• Category immaturity risks: AI visibility tracking remains an emerging market. Data variability, LLM response fluctuation, and evolving APIs affect all tools in this space, including Scrunch AI .
• Less transparent methodology (in comparison to some competitors): Some industry analyses emphasize evaluating data collection transparency (API vs. UI simulation, sampling frequency, etc.). Publicly available descriptions of Scrunch AI do not deeply outline these technical details .

Pricing

• Approximate pricing: $250 per month
• Custom enterprise pricing

Scrunch AI is positioned in the upper pricing tier of AI visibility tools. It is significantly more expensive than lower-cost competitors such as Rankshift (€77/month), and sits closer to enterprise-oriented platforms in terms of cost structure .

Plan	Cost / Month	Prompts Included	Users Included	Websites / Projects
Core	$250	125 unique prompts	5 user licenses	1 brand workspace
Enterprise	Custom	Custom # of unique prompts	Custom # of licenses	Custom # of brand workspaces

There is no clear public breakdown in the available material regarding prompt limits, seat limits, or tier differentiation. Prospective buyers would likely need to request a demo for detailed pricing structure.

Verdict

Scrunch AI is a serious, enterprise-grade AI visibility platform designed for brands that want structured monitoring of their presence across major LLMs. It combines multi-platform coverage, competitive benchmarking, and citation tracking into a centralized monitoring system.

However, its high price point makes it best suited for:

• Mid-size to enterprise brands
• SEO and growth teams managing multiple competitive prompts
• Companies that view AI visibility as strategically critical

It is less suitable for:

• Early-stage startups with limited budgets
• Solo operators experimenting with AI tracking
• Teams that need advanced prompt discovery automation (unless Scrunch AI offers this behind closed demos)