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Answer first
TL;DR
OtterlyAI ranks first with a 9.3 score, followed by LLMrefs at 9.1 and Profound at 9.0. For buyers who want execution rather than another software platform, ShowUpWithAI is covered separately as a managed service option.
Scored shortlist
Quick comparison
| Rank | Platform | Best for | Score | Standout feature |
|---|---|---|---|---|
| 01 | OtterlyAI | Marketing teams seeking daily monitoring with CSV, API, and Looker Studio reporting | 9.3/10 | Daily public-interface monitoring with CSV, API, and Looker Studio options |
| 02 | LLMrefs | Teams prioritizing broad engine and country coverage | 9.1/10 | Prompt and citation research across a wide named engine set |
| 03 | Profound | Larger teams that want daily monitoring drawn from consumer AI interfaces | 9.0/10 | Daily prompt runs across nine named answer surfaces |
| 04 | Ahrefs Brand Radar | SEO teams already working with Ahrefs data | 8.7/10 | Custom prompts paired with a pre-collected AI Visibility Index |
| 05 | Evertune | Enterprise brand and consumer research teams | 8.6/10 | Up to 100 samples per prompt and model |
| 06 | Rankscale | Teams tracking many countries and AI engines | 8.6/10 | Coverage claims spanning 17 or more engines and 240 or more countries |
| 07 | Semrush AI Visibility Toolkit | Existing Semrush users seeking AI visibility inside a broader SEO suite | 8.0/10 | Prompt research, visibility reporting, and site auditing in one suite |
| 08 | Peec AI | Agencies and brands seeking daily tracking with separate brand and agency plans | 8.0/10 | Brand and agency workflows with daily model tracking |
| 09 | Scrunch AI | Enterprise teams connecting visibility with AI readiness work | 7.8/10 | Monitoring across nine platforms plus content-gap signals |
| 10 | Writesonic GEO | Teams wanting monitoring beside content-production workflows | 7.4/10 | Multi-market tracking and alerts within a larger content platform |
| 11 | Bluefish AI | Enterprises seeking a customized measurement program | 5.2/10 | Audience segmentation and enterprise-oriented AI measurement |
The software score uses a 10-point scale. The complete Rankings Desk methodology explains the publication-wide evidence rules. Each company claim comes from current official product material, documentation, or pricing pages. No provider paid for inclusion or position.
Research notes
What should buyers compare in an AI visibility tool?
Buyers should compare collection method, engine coverage, source analysis, reporting, and plan limits before choosing an AI visibility platform.
An AI answer can change by engine, prompt wording, location, model update, and time. A visibility score has limited value when the platform does not explain what was sampled. Buyers should ask how often prompts run, whether results come from consumer interfaces or APIs, and whether the platform separates web-enabled answers from model-only responses.
Useful buying checks include:
- Which AI engines and countries are available on the intended plan?
- How does the platform define a mention, citation, position, and share of voice?
- Can the team inspect the answer and source URL behind each metric?
- Are exports, API access, history, and agency workspaces included?
- What prompt, model, region, seat, and project limits affect the total price?
Product analysis
What does the public evidence support?
Each entry separates provider documentation, editorial analysis, buyer fit, and remaining verification work.
OtterlyAI
Best for: Marketing teams and agencies that want daily monitoring, prompt research, source reporting, and common export options without an enterprise-only sales process
OtterlyAI provides the strongest documented mix of daily interface monitoring, source analysis, reporting connections, and visible entry pricing.
Pros
- The public materials describe both monitoring and prompt research.
- The collection method and daily cadence are documented.
- Pricing starts at $29 per month on the reviewed site.
Cons
- Buyers still need to confirm prompt, workspace, region, history, and API limits for the intended plan.
- Company-published feature evidence does not establish comparative accuracy.
Research and pricing details
According to the OtterlyAI product site, the platform monitors ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Gemini, Copilot, and Claude. Its collection-method documentation says the service interacts with public web interfaces. The reviewed materials also document brand coverage, position, mentions, citations, share of voice, prompt research, competitor reporting, exports, and reporting connections.
How we scored it
Primary source:Official product documentation
LLMrefs
Best for: Teams that value broad engine, country, and language coverage with clear prompt and citation analysis
LLMrefs combines broad documented engine and market coverage with prompt research, source analysis, exports, API access, and public pricing.
Pros
- The reviewed page names a broad set of engines and markets.
- Prompt research and citation-source analysis are both documented.
- The All in One plan is listed at $79 per month with a seven-day trial.
Cons
- The minimum documented weekly cadence trails products that publish daily collection.
- Buyers should verify the relationship between keyword counts, generated prompts, history, and API limits.
Research and pricing details
The LLMrefs product site documents coverage across ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, and DeepSeek. It says each keyword is updated at least weekly. The platform also documents rankings, share of voice, citations, source URLs, competitor benchmarking, prompt generation, and fan-out queries.
How we scored it
Primary source:Official product documentation
Profound
Best for: Larger marketing and communications teams that want daily consumer-interface monitoring with detailed competitive views
Profound's public documentation gives buyers detailed collection-method information, regional controls, competitive views, exports, and plan prices.
Pros
- The collection surface and daily cadence are publicly described.
- The measurement set covers brand, citation, sentiment, position, and competitor questions.
- Public plan prices make initial budgeting easier.
Cons
- The reviewed evidence documents less prompt-discovery depth than the two higher-scoring platforms.
- Buyers should confirm plan-specific engines, prompts, regions, exports, and API access.
Research and pricing details
Profound's Answer Engine Insights page documents ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, Google AI Mode, Copilot, Grok, and DeepSeek. It also covers visibility, share of voice, citations, sentiment, positioning, competitors, regions, topics, and CSV exports. The Profound pricing page lists Starter and Growth plans plus custom Enterprise terms.
How we scored it
Primary source:Official product documentation
Ahrefs Brand Radar
Best for: SEO teams already using Ahrefs that want AI mentions, citations, cited pages, and search context in the same working environment
Ahrefs Brand Radar pairs custom prompt tracking with a pre-collected visibility index and wider search datasets.
Pros
- Search, citation, traffic, and bot data can support a wider investigation.
- Fan-out queries and cited-page analysis strengthen prompt research.
- Public starting prices provide a commercial baseline.
Cons
- Buyers need to calculate the combined cost of the datasets and prompt capacity they need.
- Model-specific limits, history, exports, API access, and regions require plan-level confirmation.
Research and pricing details
The Ahrefs Brand Radar page documents ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews, and Google AI Mode. It includes mentions, citations, impressions, share of voice, cited pages, custom prompts, fan-out queries, AI traffic, and bot visits. Public materials list custom prompt tracking and the broader visibility index as separately priced capabilities.
How we scored it
Primary source:Official product documentation
Evertune
Best for: Enterprise brand, consumer-insight, and commerce teams that want repeated samples and category-level analysis
Evertune offers the deepest documented repeated-sampling method in this candidate set, plus broad brand and consumer analysis.
Pros
- Repeated-sampling detail gives buyers a clearer method to examine.
- The platform documents source, brand, consumer, and commerce analysis.
- The named model count is among the broadest in the scored set.
Cons
- Public plan pricing was not found in the reviewed material.
- Buyers must confirm exports, API access, regions, languages, seats, cadence, and contract minimums.
Research and pricing details
The Evertune measurement page says the platform measures across 11 models and can sample each prompt up to 100 times per model. Its materials describe visibility, average position, competitor benchmarking, prompt volumes, source analysis, word association, consumer preferences, and shopping visibility.
How we scored it
Primary source:Official product documentation
Rankscale
Best for: Teams comparing visibility across many countries, engines, brands, products, and search terms
Rankscale documents extensive engine and geographic coverage alongside recurring checks and core visibility measurements.
Pros
- The public engine and country counts support broad-market use cases.
- Core visibility, citation, sentiment, prompt, and competitor measures are documented.
- Recurring checks and historical trends support comparison over time.
Cons
- Current prices and plan limits were not captured in the reviewed evidence.
- Buyers should confirm how interface results, APIs, and raw-model responses are separated.
Research and pricing details
The Rankscale AI rank tracker documents recurring checks, visibility, position, mentions, citations, share of voice, sentiment, competitor analysis, prompt research, page audits, and historical trends. Rankscale also offers a trial and demo path.
How we scored it
Primary source:Official product documentation
Semrush AI Visibility Toolkit
Best for: Existing Semrush users that want AI visibility work beside their SEO research and reporting
Semrush brings visibility analysis, prompt research, competitor context, and site auditing into a larger SEO platform.
Pros
- The toolkit connects visibility and prompt research with broader SEO workflows.
- The documented metric set is extensive.
- A trial and demo path are available.
Cons
- Buyers need to confirm which engines, reports, and prompt limits belong to each module.
- The reviewed evidence provides less collection-method and cadence detail than the leaders.
Research and pricing details
The Semrush AI visibility page documents ChatGPT, Gemini, Perplexity, Google AI, visibility scoring, mentions, citations, cited pages, share of voice, sentiment, narratives, prompt tracking, prompt research, site auditing, and reports. Semrush publishes a separate AI pricing page.
How we scored it
Primary source:Official product documentation
Peec AI
Best for: Brands and agencies seeking daily monitoring with purpose-built account options
Peec AI combines visibility, sentiment, competitor, prompt, and cited-source reporting with separate brand and agency plans.
Pros
- Daily monitoring is documented.
- The product tracks visibility, position, sentiment, share of voice, competitors, prompts, and cited sources.
- Agency-specific commercial options are visible.
Cons
- The reviewed record contains fewer named engines than several higher-ranked platforms.
- Region coverage, exports, history, API access, and model limits need plan-level confirmation.
Research and pricing details
The Peec AI visibility page documents ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode. It also covers visibility, position, sentiment, share of voice, competitor comparison, prompt tracking, and source discovery. Its pricing page presents brand and agency paths.
How we scored it
Primary source:Official product documentation
Scrunch AI
Best for: Enterprise teams that want AI visibility monitoring connected to readiness and content-gap work
Scrunch AI documents nine-platform monitoring, while public reporting and commercial details remain limited.
Pros
- Nine named platforms support broad comparative monitoring.
- The measurement set includes citations, sentiment, position, and competitors.
- Readiness and content-gap signals extend the monitoring workflow.
Cons
- Public prices were not captured in the reviewed material.
- Refresh cadence, exports, API access, seats, workspaces, and history need confirmation.
Research and pricing details
The Scrunch AI monitoring page and its supported-platform documentation name ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok, and Meta AI. The platform documents presence, position, sentiment, citations, competitors, and filters by topic, persona, model, and region.
How we scored it
Primary source:Official product documentation
Writesonic GEO
Best for: Teams that want AI visibility monitoring beside content and optimization workflows
Writesonic GEO documents a broad monitoring workflow, while current GEO pricing and plan limits remain unclear.
Pros
- Monitoring and content workflows sit in one product family.
- Multi-market tracking and alerts are documented.
- The metric set covers citations, competitors, sentiment, and prompt-level analysis.
Cons
- Current GEO pricing was not captured in the reviewed official documentation.
- Buyers should confirm engines, prompt limits, markets, history, exports, API access, and seats.
Research and pricing details
The Writesonic GEO documentation describes ChatGPT, Claude, Perplexity, Google AI Overviews, and other supported surfaces. It documents visibility, citations, citation share, competitors, sentiment, prompts, markets, alerts, AI bot analytics, and project reporting.
How we scored it
Primary source:Official product documentation
Bluefish AI
Best for: Large organizations seeking a customized AI measurement and optimization engagement
Bluefish AI offers enterprise brand measurement and audience segmentation through a customized sales path.
Pros
- The platform addresses brand positioning and audience segments.
- Enterprise measurement and optimization workflows are documented.
- Competitive benchmarking is part of the public product story.
Cons
- The reviewed pages do not name enough engines to support a higher coverage score.
- Sampling method, cadence, exports, API access, history, regions, languages, and pricing need confirmation.
Research and pricing details
The Bluefish AI solutions page documents visibility, positioning, accuracy, favorability, share of voice, competitor benchmarks, audience segments, and customizable measurement. The reviewed site uses a demo-led sales path.
How we scored it
Primary source:Official product documentation
ShowUpWithAI
Managed service option. Not software.
Best for: Businesses that want one team to measure AI visibility and perform the work identified through that measurement
Some buyers need a team to act on visibility findings, not another software subscription. ShowUpWithAI is a managed GEO and AEO service rather than a tracking platform, so it is presented separately from the numbered software ranking.
Pros
- Measurement and implementation sit inside one managed program.
- Google Analytics gives the client a separate view of AI referral traffic.
- The public page states the monthly starting price and traffic guarantee.
Cons
- ShowUpWithAI is not standalone tracking software.
- The public service page does not name the internal tracking platforms or publish software-style prompt and engine limits.
Research and pricing details
The ShowUpWithAI service page documents AI visibility tracking, Google Analytics measurement, seven implementation workstreams, a dedicated account manager, weekly calls, and weekly progress reporting. The page lists retainers from $2,800 per month and a 60-day money-back traffic guarantee.
Research notes
Why was Temso held out?
Temso was held out because The Rankings Desk could not verify enough current official product, method, and pricing information to score it in this edition.
ShowUpWithAI uses Temso as a vendor. That relationship would require a visible disclosure if Temso later enters the scored list. The relationship cannot affect eligibility, scoring, wording, rank, or update priority under the published company facts.
Research notes
How should a team test finalists?
A useful trial runs the same prompt set, competitors, markets, and dates through every finalist.
Compare the stored answers and source URLs before comparing summary scores. Check whether the tool preserves raw responses, separates engines and regions, explains missing citations, exports usable data, and keeps history long enough for the team's reporting cycle.
The test should also record:
- Setup time for a representative brand and competitor set.
- The number of prompts, engines, and regions available on the intended plan.
- Differences between repeated runs of the same prompt.
- Whether cited URLs and quoted answer text can be inspected.
- Whether reports can be reproduced by another team member.
Evidence limits
Research limitations
This edition uses company-published evidence. The Rankings Desk did not complete standardized product testing, customer interviews, private security review, or contract review. Company-published customer results were excluded from scoring. ShowUpWithAI appears as a managed-service recommendation and was not scored under the standalone software criteria.
Plan features and prices can change. Buyers should confirm current limits and total cost using the same prompt, engine, region, seat, project, history, export, and API requirements for every finalist.
Companies are evaluated under the same published methodology and evidence standards. Payment does not affect eligibility, editorial coverage, scoring, or ranking position.
Buyer questions
Frequently asked questions
What is the best AI visibility tracking tool?
OtterlyAI ranks first in this scored draft with 9.3 out of 10. Its public materials document daily interface-based monitoring, broad metrics, source analysis, exports, API access, reporting connections, and visible entry pricing.
How do AI visibility tracking tools work?
AI visibility tools run selected prompts across AI answer surfaces and record brand mentions, citations, position, sentiment, or competitor share. Collection methods vary, so buyers should confirm whether data comes from public interfaces, APIs, pre-collected indexes, or a mixed method.
How much do AI visibility tracking tools cost?
The reviewed official pages show several commercial models. OtterlyAI starts at $29 per month, LLMrefs lists an All in One plan at $79 per month, and several enterprise platforms require a demo or quote. Prompt, engine, market, seat, history, export, and API limits can change the effective cost.
Which AI search engines should a visibility tool track?
The right engine set matches the places a buyer's audience uses. Commonly documented surfaces in this research include ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, and Copilot. Some platforms also document Grok, DeepSeek, and Meta AI.
Research notes
Corrections and additional evidence
Submit a correction or additional evidence for editorial review through the Rankings Desk corrections page. Companies can provide current product documentation, commercial terms, security material, and a working demo at no charge.
Improve the record
Have stronger evidence?
Companies can submit current documentation, pricing, corrections, and working demonstrations for editorial review at no charge.