Best AI Visibility Platforms Overall

Answer Capsule

Profound is the consensus leader in this 7-platform AI consensus index of AI visibility and LLM monitoring platforms, named by 5 of 7 platforms (71.4%) with an average listed position of 1.2 and a best position of 1. Semrush, OtterlyAI, and Ahrefs follow as the strongest alternatives for distinct buyer needs: Semrush for SEO-led teams that want AI visibility inside an existing search workflow, OtterlyAI for small and mid-sized teams that need low-cost prompt monitoring, and Ahrefs for companies that want broad search-backed prompt discovery tied to backlink and keyword data. Nine entities qualified out of 38 unique names. The principal limitation is that this study used one standardized prompt sent once to each included platform, and AI answers vary by date, wording, location, account state, model, interface, browsing configuration, and retrieved sources.

Research Snapshot

• Topic: Best AI Visibility Platforms Overall
• Target buyer: Companies seeking AI visibility platforms across AI search, generative-answer, and recommendation platforms
• Use case: Measuring how a brand appears across ChatGPT, Gemini, Claude, Perplexity, Grok, DeepSeek, and Kimi, including recommendations, mentions, citations, competitors, important prompts, and changes over time
• Platforms included: openai, anthropic, deepseek, grok, perplexity, kimi, google (7 platforms)
• Research date: 2026-09-19
• Unique entities named: 38
• Qualifying entities: 9
• Eligibility rule: Named by at least two platforms during ranking discovery
• Geography: United States
• Ranking unit: Software platform or research platform

Platform-reported research dates differ from the authoritative run date for some platforms, and those dates are provenance metadata only. They do not independently prove freshness. Platform mentions count only ranking-discovery mentions, not the number of platforms that later completed a fit assessment.

The Consensus Ranking

Questions This Section Answers

• What are the best AI visibility and LLM monitoring platforms for tracking brand mentions across ChatGPT, Gemini, Claude, Perplexity, Grok, DeepSeek, and Kimi in 2026?
• Which AI visibility platform has the strongest cross-platform consensus among AI assistants for prompt, citation, and competitor tracking?
• How many AI platforms named each AI visibility tool, and what share of platform responses did each receive?

Which Option Is Best for Which Version of the Buyer Need?

Questions This Section Answers

• Which AI visibility platform should a buyer choose if they need verified coverage of DeepSeek and Kimi as well as ChatGPT and Gemini?
• Is Profound or Semrush better for a company that already pays for traditional SEO tooling?
• Which AI visibility platform has the lowest published entry price for a small marketing team testing prompt monitoring?

1. Profound

Questions This Section Answers

• Is Profound worth it for AI visibility tracking, and what are its main drawbacks?
• Which AI engines does Profound actually cover on its Starter and Growth tiers, and is Kimi included?
• How much does Profound cost per month, and what prompt and agent-credit limits apply?

Profound is the consensus leader of this index and the only entity named by five of seven platforms. It is a good fit for mid-market and enterprise buyers that need detailed AI visibility measurement, citation analysis, competitor benchmarking, prompt monitoring, and reporting across major answer engines ^[1]. It is a weaker fit for small teams seeking low-cost broad model coverage, and for buyers who require confirmed Kimi coverage or transparent enterprise pricing.

Why it ranked here. Profound was named by deepseek, google, grok, openai, and perplexity, with an average listed position of 1.2 and a best position of 1. Four of the five naming platforms placed it first. That consensus reflects its positioning as a dedicated answer-engine intelligence product rather than an add-on to a broader SEO suite.

Best suited for. Companies tracking brand mentions, citations, competitors, visibility rank, sentiment, and share of voice across multiple AI answer engines; marketing, SEO, communications, and executive-reporting teams needing historical, prompt-level, and source-level analysis; and consumer brands needing ChatGPT Shopping visibility, product, SKU, merchant, and attribute analysis ^[1].

Main strengths for the use case. Profound reports visibility, visibility rank, citation share, share of voice, sentiment, average position, cited URLs, competitors, and prompt-level comparisons, and states that citation data is collected daily and can be analyzed by platform, topic, or prompt ^[3]. The public Growth tier includes 100 tracked prompts and 9,000 analyzed responses per month, while Enterprise prompt volume is tailored ^[1]. Enterprise materials list multiple companies, tailored prompt tracking, dedicated Slack support, SSO/SAML, and stated SOC 2 compliance ^[1]. ChatGPT Shopping capabilities add SKU-level analysis, attribute accuracy, shopper sentiment, shopping triggers, and merchant-layer analysis for consumer-product brands ^[2].

Main limitations. Starter is limited to ChatGPT, while Growth publicly lists only three answer engines ^[1]. Kimi coverage was not verified from the reviewed public sources, and the exact engine list by tier should be confirmed ^[1]. Enterprise pricing and several important commercial terms are not public ^[1]. Measurement depends on sampled prompts and answer-engine behavior, so reported visibility is not equivalent to guaranteed traffic, conversions, or universal market coverage ^[1]. Public claims and third-party descriptions differ on the number of engines and enterprise feature scope ^[1].

Pricing or cost summary. Public pricing lists Starter at $99 per month billed yearly, Growth at $399 per month billed yearly, and Enterprise at custom pricing. Starter includes ChatGPT tracking, 50 prompts, and 100 Agent credits per month; Growth includes three answer engines, 100 prompts, and 400 Agent credits per month.

2. Semrush

Questions This Section Answers

• Is Semrush worth it for AI visibility tracking if a buyer already uses Semrush for SEO?
• Which AI systems does the Semrush AI Visibility Toolkit cover, and are Claude, Grok, DeepSeek, and Kimi included?
• What does the Semrush AI Visibility Toolkit cost per domain, and how do extra prompts and users change the total?

Semrush ranks second with four platform mentions and an average listed position of 4.0. It is a good fit for companies that want AI visibility measurement integrated with established SEO, competitor research, reporting, and site-audit workflows, and a weaker fit for buyers whose defining requirement is verified, broad coverage of every named model in one comparable tracking system ^[5].

Why it ranked here. Semrush was named by deepseek, grok, openai, and perplexity. Its best position was 3. The ranking reflects its position as a mature SEO suite that has layered an AI visibility toolkit onto existing plans rather than a purpose-built AI monitoring product ^[6].

Best suited for. Existing Semrush customers adding AI visibility monitoring without switching platforms; content teams with established SEO workflows wanting a unified AI and SEO dashboard; and brands in search-driven verticals protecting organic keywords from AI Overview displacement ^[7].

Main strengths for the use case. The AI Visibility Toolkit provides Visibility Overview, Competitor Research, Prompt Research, Brand Performance, and Prompt Tracking. Prompt Tracking reports cited domains and URLs, brand mentions, mention rate, competitor citations, citation position, lost mentions, and changes over time for tracked prompts ^[8]. Semrush states that its main AI-analysis reports use a database of more than 317 million prompts and responses, updated daily on a rolling basis, while Brand Performance data is updated weekly and Prompt Tracking queries selected prompts daily ^[9]. The toolkit also provides source and topic opportunities, cited-page recommendations, AI-generated strategic recommendations, and AI Search Site Audit checks for technical blockers affecting AI crawlers ^[10].

Main limitations. The base plan tracks only 25 custom prompts and one Brand Performance domain, which may be insufficient for large brands, portfolios, or agencies ^[5]. Documented platform coverage does not verify Claude, Grok, DeepSeek, or Kimi; the buyer should not assume those systems are included ^[5]. Different reports use different datasets and update schedules, so figures may not be directly comparable across Visibility Overview, Brand Performance, and Prompt Tracking ^[9]. The product relies partly on a proprietary prompt database and inferred topic-level metrics rather than exhaustive live querying of every possible user prompt ^[9]. No free trial is documented for the AI Visibility Toolkit ^[11].

Pricing or cost summary. The official pricing page lists AI Visibility Toolkit Base at $99 per month per domain when billed annually.

3. OtterlyAI

Questions This Section Answers

• Is OtterlyAI worth it for a small marketing team monitoring prompts across ChatGPT, Perplexity, and Google AI Overviews?
• Which engines are included in OtterlyAI's base plans, and how much do Gemini, Claude, and Google AI Mode add-ons cost?
• Does OtterlyAI track Grok, DeepSeek, or Kimi, and what should a buyer verify before subscribing?

OtterlyAI ranks third with four platform mentions and an average listed position of 4.25. It is a good fit for companies needing recurring prompt monitoring, brand and competitor visibility, citation tracking, recommendations, exports, and multi-country reporting across major AI search experiences ^[12]. It is not a complete fit for buyers requiring confirmed monitoring of Grok, DeepSeek, or Kimi, because those engines are not identified in the current official supported-engine list ^[12].

Why it ranked here. OtterlyAI was named by anthropic, grok, openai, and perplexity, with a best position of 2. Grok rated the fit strong, while openai, anthropic, and perplexity rated it good and deepseek and kimi rated it uncertain ^[13].

Best suited for. Small and mid-sized marketing teams monitoring defined prompt sets across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot; companies needing brand mentions, competitor rankings, citations, sentiment, share of voice, and changes over time; and agencies or multi-brand teams needing workspaces, exports, API/MCP access, or Looker Studio integration on Standard or Premium ^[12].

Main strengths for the use case. OtterlyAI reports brand mentions, coverage, share of voice, sentiment, competitor comparisons, cited domains and URLs, citation-position changes, and gap analysis, plus reports and CSV exports ^[16]. Users can add or research prompts and monitor them daily, with prompt-level views including brand coverage, sentiment, competitor ranking, responses, and citation URLs ^[18]. The platform supports daily tracking and multi-country monitoring, though a prompt is counted separately for each country, so international coverage consumes prompt capacity faster ^[20]. Beyond monitoring, it offers prompt research, crawlability checks, content audits, GEO audits, and recommendations intended to improve citation readiness and visibility ^[21].

Main limitations. Current official engine lists do not confirm support for Grok, DeepSeek, or Kimi ^[12]. Gemini, Claude, and Google AI Mode require paid add-ons, increasing total cost for buyers seeking broad engine coverage ^[22]. Prompt capacity is limited by plan, and the same prompt monitored across multiple countries consumes multiple prompt slots ^[20]. OtterlyAI monitors user-defined prompts; it does not provide verified comprehensive real-user query logs from AI platforms ^[12]. Lite's recommendation functionality is limited to a preview of three recommendations per seven-day cycle ^[23]. Independent evidence on product accuracy, data completeness, and customer outcomes was not identified in the sources reviewed ^[12]. .

4. Ahrefs

Questions This Section Answers

• Is Ahrefs Brand Radar worth it for AI visibility tracking if a buyer already uses Ahrefs for SEO?
• Which AI platforms does Ahrefs Brand Radar cover, and are DeepSeek, Kimi, and Claude included?
• How much does Ahrefs Brand Radar cost per month, and what is the realistic all-in cost with a base Ahrefs plan?

Ahrefs ranks fourth with four platform mentions and an average listed position of 4.5. It is a good fit for companies needing broad AI-search visibility discovery, competitor benchmarking, citation analysis, prompt monitoring, and connection of AI visibility with SEO and other source channels ^[24]. It is not an unqualified strong fit for buyers requiring uniform, direct, real-time coverage of every named model ^[24].

Why it ranked here. Ahrefs was named by deepseek, grok, openai, and perplexity, with a best position of 3. Fit ratings ranged from good (deepseek, google, grok, openai) to mixed (anthropic, perplexity) to weak (kimi) ^[25].

Best suited for. SEO-led companies that want AI visibility integrated with search demand, web visibility, cited pages, and competitor analysis; teams needing broad discovery across large search-backed prompt datasets rather than a small manually curated prompt set; and companies monitoring important buyer prompts across ChatGPT, Gemini, Perplexity, Google AI surfaces, Copilot, Grok, and Claude where supported ^[24].

Main strengths for the use case. Brand Radar documents coverage for Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, Copilot, Grok, and Claude, with Claude available for custom prompts only ^[24]. The product tracks brand mentions, compares AI share of voice against competitors, identifies cited pages and domains, and supports analysis of brands, products, regions, and authors ^[24]. Custom Prompts supports buyer-selected questions, selected AI assistants, locations, and daily, weekly, or monthly refresh schedules; one check equals one prompt execution multiplied by one AI tool and one location ^[26]. Ahrefs reports a large search-backed prompt index, described across current materials as approximately 405M to 475M-plus prompts ^[24]. Brand Radar connects AI answers with cited pages and domains and broader visibility signals from search, YouTube, Reddit, and TikTok, with some emerging-channel indexes described as beta ^[24].

Main limitations. DeepSeek and Kimi are not documented in the cited platform lists ^[24]. Claude is documented as custom-prompt-only rather than part of the general indexed prompt dataset, and each Claude query consumes 8 checks ^[27]. Grok support has conflicting time-sensitive documentation: one help page says new data collection is temporarily unavailable, while a later Ahrefs announcement says Grok became available ^[28]. The main index is modeled from search-backed prompts and is not equivalent to exhaustive live querying of every AI system ^[24]. Custom-prompt capacity can create substantial ongoing costs when tracking many prompts, models, locations, and frequent refreshes ^[24].

Pricing or cost summary. Brand Radar AI is sold separately from Ahrefs core plans.

5. Peec AI

Questions This Section Answers

• Is Peec AI worth it for prompt-level AI visibility monitoring, and what are its main drawbacks?
• How many AI models are included in Peec AI's self-serve plans, and what do extra engines cost?
• Does Peec AI support Kimi, and what should a buyer verify about model coverage before buying?

Peec AI ranks fifth with three platform mentions and an average listed position of 3.67. It is a good fit for companies that need prompt-based monitoring of AI visibility, recommendations, mentions, citations, competitors, sentiment, and changes over time, and it is especially suitable for marketing, SEO, content, GEO, and agency teams ^[30].

Why it ranked here. Peec AI was named by deepseek, grok, and perplexity, with a best position of 3. Six of seven platforms that assessed fit rated it good; kimi rated it uncertain ^[31].

Best suited for. Companies prioritizing ChatGPT, Gemini, Perplexity, Google AI Overviews, Google AI Mode, and Microsoft Copilot visibility tracking; teams needing competitor benchmarking, citation/source gap analysis, sentiment, share of voice, position, and recommended actions; and agencies or mid-market companies needing multiple projects, reporting, exports, and flexible prompt allocation ^[30].

Main strengths for the use case. Peec AI reports visibility, position, sentiment, and share of voice over time, with daily tracking on Starter, Pro, and Advanced plans, and measures individual prompt/model/location chats rather than conventional search-engine rankings ^[30]. It provides recommended actions and gap analysis, including ranked opportunities based on sources where competitors appear but the buyer does not ^[32]. The platform distinguishes retrieved sources from visible citations and provides domain/URL analysis, citation share, source classification, and citation-gap analysis ^[33]. It states that it uses UI scraping for most tracked engines, simulating user interactions through web interfaces rather than relying exclusively on APIs ^[30].

Main limitations. Self-serve plans track only three selected models, which is restrictive for buyers wanting broad simultaneous coverage ^[30]. Kimi coverage was not verified in the sources checked ^[30]. Coverage and feature availability differ by plan; Enterprise appears necessary for the broadest model set, API, SSO, and custom tracking ^[30]. UI scraping can be affected by interface changes, availability, localization, personalization, rate limits, and model-response variability ^[30]. Visibility metrics are sampled prompt results, not a universal or independently standardized measure of all AI-user exposure ^[30]. One platform noted that Peec AI is monitoring-only and does not include content generation, optimization recommendations, or execution tools ^[34].

Pricing or cost summary. Official pricing confirms Starter, Pro, Advanced, and custom Enterprise tiers, but the accessible official page did not expose dollar prices in the retrieved text. An independent September 2026 review reported annual-billing prices of approximately $80/month for Starter, $205/month for Pro, and $420/month for Advanced, with monthly prices of approximately $95, $245, and $495 ^[35].

6. Viali

Questions This Section Answers

• Is Viali worth it for AI visibility tracking with fix verification, and what are its main drawbacks?
• Which six AI engines does Viali track on every plan, and are DeepSeek and Kimi included?
• What does Viali cost per month for one brand versus an agency portfolio, and what does the 14-day trial include?

Viali ranks sixth with two platform mentions and an average listed position of 2.5, the second-best average in the index. It is a mixed-to-good fit for companies needing broad AI visibility monitoring: it directly supports recurring tracking of brand mentions, recommendations, competitor visibility, citation sources, accuracy issues, and changes across six listed engines, but the public product description does not verify coverage of DeepSeek or Kimi ^[36].

Why it ranked here. Viali was named by anthropic and kimi, with a best position of 2. Its high average position reflects strong fit ratings from those two platforms, but its lower mention count reflects that only two platforms named it during ranking discovery.

Best suited for. Companies prioritizing ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews; marketing teams wanting visibility tracking combined with citation analysis, recommended fixes, verification, content workflows, and integrations; and agencies needing multi-brand monitoring, white-label reporting, scheduled client emails, and API access ^[36].

Main strengths for the use case. Viali publicly lists ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews as the six engines included on every plan, and plans gate volume rather than engines [e6:official:C2]. The platform includes Impact Ledger and Fix Verification, which record changes from baseline to outcome and re-scan to classify fixes as verified, partial, or failed ^[36]. Every listed plan includes locale-aware scans, GA4 and Search Console connectivity, alerts, daily briefs, and GDPR export/deletion; Growth adds an API and Looker Studio; Agency adds white-label reports, scheduled client emails, team roles, and an activity log ^[37]. One platform reported that Viali provides per-query visibility with actual answer text, not just scores, and that the Responses browser keeps every answer verbatim ^[38].

Main limitations. DeepSeek and Kimi coverage is not verified by the reviewed public materials ^[36]. The public cadence descriptions are not fully consistent across pages and plans ^[36]. The product appears relatively new and lacks named public customer references; Viali states that its paying customers cannot yet be named publicly ^[36]. The plus-31-percent organic-traffic statement is a company claim described as correlation, not independently proven causation ^[36]. No permanent free tier is advertised [e6:official:C2]. Public information does not fully specify query methodology, API versus web-interface collection, localization controls, result sampling, or reproducibility ^[36].

Pricing or cost summary. Public pricing lists three plans: Starter at $79 per month or approximately $63 per month on annual billing; Growth at $199 per month or approximately $159 per month annually; and Agency at $479 per month or approximately $383 per month annually.

7. Scrunch

Questions This Section Answers

• Is Scrunch worth it for enterprise AI visibility monitoring with AI-crawler analytics?
• Which nine AI platforms does Scrunch track on Enterprise, and are DeepSeek and Kimi supported?
• What does Scrunch cost per month, and why do public plan names and prices conflict?

Scrunch ranks seventh with two platform mentions and an average listed position of 3.5, including one first-place vote. It is a good fit for companies needing enterprise-oriented AI visibility monitoring across major AI answer and recommendation surfaces, and it directly supports prompt-level tracking, brand and competitor mentions, citations, position, sentiment, share of voice, AI-agent traffic, audits, APIs, integrations, and change monitoring ^[39].

Why it ranked here. Scrunch was named by openai and perplexity, with a best position of 1. Fit ratings ranged from strong (google, grok) to good (anthropic, openai, perplexity) to uncertain (deepseek, kimi) ^[40].

Best suited for. Large or multi-brand companies needing cross-platform AI visibility measurement and technical AI-crawler analytics; teams requiring API access, integrations, SSO, multiple workspaces, custom prompts, and dedicated support; and organizations that want both answer-level visibility data and first-party AI-agent traffic information ^[39].

Main strengths for the use case. Scrunch states that its Enterprise brand plan supports ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, Google AI Mode, Microsoft Copilot, Grok, and Meta AI ^[44]. It reports prompt-centric monitoring with brand presence, competitive presence, share of voice, answer position, sentiment, and full answer text by platform, with new prompts collected daily for the first 14 days and then refreshed on a default 72-hour cadence ^[45]. Scrunch can analyze AI bot traffic through CDN or hosting integrations, distinguish training, indexing, and retrieval requests, show visited pages and request logs, and compare AI traffic with human traffic, with documented integrations including Akamai, AWS CloudFront, Cloudflare, Fastly, Vercel, and WordPress ^[46]. The Enterprise plan is described as including custom prompts, content delivery, complete site audits, custom workspaces and user licenses, API access and integrations, SAML/OIDC SSO, and a dedicated account team ^[39].

Main limitations. DeepSeek and Kimi are not included in the publicly documented nine-platform Enterprise list ^[44]. Enterprise pricing and commercial terms are not public ^[39]. Public pricing pages conflict on plan names and self-service prices ^[48]. The checked sources do not establish historical retention, alerting functionality, sampling methodology by platform, geographic granularity, or guaranteed refresh frequency for every platform ^[39]. AI-platform collection methods vary between browser automation and APIs, which may create comparability or reproducibility tradeoffs ^[49]. AI bot-traffic analytics require CDN, hosting, or proxy integration and may not be equally available for every infrastructure stack ^[47].

Pricing or cost summary. Public Scrunch pricing information is inconsistent across checked official pages.

8. AthenaHQ

Questions This Section Answers

• Is AthenaHQ worth it for AI visibility monitoring with optimization actions, and what are its main drawbacks?
• How does AthenaHQ's credit-based pricing work, and how much do extra credits cost?
• Does AthenaHQ track Kimi, and which models are included on the Starter plan versus Enterprise?

AthenaHQ ranks eighth with two platform mentions and an average listed position of 4.0. It is a good fit for companies needing broad, cross-platform AI visibility monitoring, citation analysis, competitor tracking, prompt/response analysis, and optimization workflows, and it is particularly relevant for buyers prioritizing ChatGPT, Gemini, Claude, Perplexity, Google AI surfaces, Copilot, Grok, and DeepSeek ^[50].

Why it ranked here. AthenaHQ was named by deepseek and google, with a best position of 2. Fit ratings ranged from strong (google) to good (anthropic, grok, openai) to uncertain (deepseek, kimi, perplexity) ^[51].

Best suited for. Marketing, SEO, content, PR, and brand teams needing one platform for monitoring and improving AI-generated visibility; companies tracking recommendations, mentions, citations, competitors, important prompts, and changes across multiple major AI systems; and organizations that want optimization recommendations and action workflows in addition to reporting ^[50].

Main strengths for the use case. The public Starter plan lists visibility across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI, and Mistral, with additional models available upon request ^[50]. AthenaHQ describes prompt and response analysis, source and competitor insights, citation intelligence, and tracking of brand appearance across AI platforms ^[55]. The platform includes content recommendations, an optimization agent, on-page and off-page actions, and self-learning content improvement on the Starter plan; Enterprise adds the Athena Recommendation Engine, content workflows, and Athena Citation Engine ^[50]. One platform reported that AthenaHQ detects AI hallucinations about a brand, catching false or damaging claims that AI engines make in answers, and that few competing trackers address this capability ^[56]. Another reported that direct Shopify and GA4 integration connects citations to revenue outcomes ^[58].

Main limitations. Kimi coverage is not confirmed in the reviewed public materials ^[50]. The public materials do not establish independent validation of visibility scores, citation accuracy, sampling methodology, or longitudinal change detection ^[50]. API, extra-credit, enterprise, and potentially high-volume monitoring costs are not transparent ^[50]. Credit-based usage may create variable ongoing costs as prompt volume, models, sites, or monitoring frequency increase; reviewers testing broad prompt sets with fan-outs enabled found the base allotment covers far less real usage than expected ^[59]. Several customer-performance claims are platform-reported and should not be treated as independently validated ^[50]. Public third-party pricing conflicts with the official pricing information ^[61]. .

9. BrandPeek

Questions This Section Answers

• Is BrandPeek worth it for low-cost AI visibility monitoring, and what are its main drawbacks?
• What does BrandPeek's free 25-credit tier include, and which AI models are excluded from it?
• Does BrandPeek track Grok and Kimi, and what should a buyer verify about model coverage before paying?

BrandPeek ranks ninth with two platform mentions and an average listed position of 5.0. It is a mixed fit for companies needing broad AI visibility monitoring: it offers low-cost tracking across several important AI systems, competitor monitoring, location-based tracking, scheduling on paid plans, and AI Overview optimization, but the recommended 25-credit tier is materially constrained and public documentation is inconsistent about provider coverage ^[62].

Why it ranked here. BrandPeek was named by anthropic and kimi, with a best position of 3. Fit ratings ranged from good (anthropic) to mixed (google, grok, openai, perplexity) to uncertain (deepseek, kimi) ^[63].

Best suited for. Small companies testing AI visibility monitoring at minimal cost; buyers needing basic brand and competitor tracking across ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and Google AI Overviews; and teams that also want AI Overview analysis, fact-sheet generation, and content-optimization workflows ^[62].

Main strengths for the use case. BrandPeek's official site states that it monitors ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and Google AI Overview, while also using broader language such as 10+ AI models ^[62]. The platform reports mentions, rankings, sentiment, visibility metrics, competitor comparisons, competitor detection, and risk alerts ^[68]. It supports custom queries, topic categories, location-based variations, on-demand testing, and scheduled monitoring on paid plans, with the free tier manual-run only ^[70]. It advertises timeline and trend analysis, ranking-change notifications, competitor alerts, and data retention, with retention stated as 30 days on Free, six months on Starter, and unlimited on Growth and Scale [e9:official:C2]. BrandPeek includes an AI Overviews Analyzer, and its help documentation states that AI Overview analysis costs 10 credits and strategy application costs 2 credits per strategy on paid plans ^[71].

Main limitations. The 25-credit tier provides limited monitoring capacity and manual execution only ^[62]. Grok and Kimi coverage was not verified in the checked official sources ^[62]. Provider coverage is described inconsistently as six named systems versus 10+ models ^[62]. Public evidence does not independently validate detection rates, success rates, or claimed customer outcomes ^[72]. Citation tracking methodology and citation export depth are not clearly documented ^[62]. White-label reporting and API access are marked coming soon on the official pricing page ^[73]. Top-up pricing and credit-expiration rules were not verified ^[62]. .

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What does the cross-platform AI consensus reveal about which AI visibility platforms are most trusted for brand monitoring?
• Why do AI visibility platforms disagree about engine coverage, pricing, and accuracy for the same vendors?
• Which AI visibility platforms are named most often when AI assistants recommend tools for tracking brand mentions across LLMs?

The market splits into three recognizable groups. The first is dedicated AI visibility platforms built specifically for answer-engine monitoring: Profound, OtterlyAI, Peec AI, Viali, AthenaHQ, and BrandPeek. The second is SEO suites that added AI visibility modules: Semrush and Ahrefs. The third is enterprise infrastructure that combines answer monitoring with technical crawler analytics: Scrunch.

Consensus concentrates at the top. Profound was named by five of seven platforms and placed first by four of them. Semrush, OtterlyAI, and Ahrefs each appeared on four platforms. Peec AI appeared on three. Viali, Scrunch, AthenaHQ, and BrandPeek each appeared on two. No entity below rank 4 was named by more than three platforms, which suggests the long tail of this category is still unsettled.

A recurring theme across the evidence bundles is that engine coverage is the single most contested specification. Profound's Starter tier is ChatGPT-only ^[74]. Semrush's documented coverage centers on ChatGPT, Gemini, Google AI surfaces, and Perplexity, with Claude, Grok, DeepSeek, and Kimi unverified ^[75]. OtterlyAI's base plans cover four engines with three more as paid add-ons ^[76].

Where the AI Platforms Agreed

Questions This Section Answers

• Which AI visibility platform do most AI assistants agree is the best overall for tracking brand mentions and citations?
• What do AI platforms agree on about the limits of AI visibility measurement accuracy?

Platforms agreed on several points. First, Profound is the strongest overall consensus pick: five of seven platforms named it, and four placed it first ^[77]. Second, AI visibility measurement is directional rather than definitive. Semrush states that its AI visibility metrics are directional because AI answers are dynamic and personalized ^[81]. Profound's bundle notes that measurement depends on sampled prompts and answer-engine behavior and that reported visibility is not equivalent to guaranteed traffic, conversions, or universal market coverage ^[77]. Third, engine coverage is incomplete across the category. No single platform in this index has verified coverage of all seven named systems on a low-cost self-serve plan. Fourth, citation and source analysis is a core differentiator: Profound, Semrush, Peec AI, Viali, Scrunch, and AthenaHQ all describe citation or source tracking in their bundles ^[82].

Platforms also agreed that company-owned evidence dominates this category. The evidence audit shows company-owned citations materially outnumber independent citations for most entities, so company claims should not be described as independently verified.

Where the AI Platforms Disagreed

Questions This Section Answers

• Why do AI platforms disagree about whether Scrunch, AthenaHQ, and BrandPeek are AI visibility platforms at all?
• Which AI visibility platforms have unresolved identity or domain conflicts that buyers should verify before purchase?

Disagreements cluster in four areas.

Identity and domain conflicts. Profound's official domain is unresolved: the supplied normalization marks profound.ai as reported but unverified, while public product and pricing pages use tryprofound.com ^[88]. AthenaHQ's supplied ranking context reports conflicting official domains, with athenahq.ai recovered through search but ownership still requiring verification ^[89]. Peec AI's normalization context reports conflicting official domains and an unresolved identity history ^[90].

Category fit disputes. One platform reported that Scrunch is an influencer marketing platform with no evident AI visibility monitoring capabilities, directly conflicting with the other platforms' descriptions of Scrunch as an AI visibility and agent-experience platform ^[91]. One platform reported that AthenaHQ's positioning is centered on Answer Engine Optimization and citation building rather than multi-engine monitoring, and rated the fit uncertain ^[92]. One platform reported that no public documentation, reviews, or directory listings of BrandPeek were found ^[93].

Accuracy disputes. Independent testing cited by one platform found Ahrefs Brand Radar undercounting ChatGPT mentions by roughly 97%, reporting 3 mentions where manual checks found 123 ^[94].

How Buyers Should Choose

Questions This Section Answers

• What should a buyer check before choosing an AI visibility platform for tracking brand mentions across ChatGPT, Gemini, Claude, Perplexity, Grok, DeepSeek, and Kimi?
• Which AI visibility platform should a buyer choose if they need verified coverage of a specific engine like Kimi or DeepSeek?
• How should a buyer compare AI visibility platform pricing when plans use credits, prompts, domains, or seats as their unit?

Start with the engine list. Write down the exact AI systems the business must monitor, then ask each vendor for a written engine-coverage matrix by plan. This matters because Profound's Starter is ChatGPT-only, Semrush's documented coverage does not verify Claude, Grok, DeepSeek, or Kimi, OtterlyAI's base plans cover four engines, Peec AI's self-serve plans cap at three models, and neither Viali nor Scrunch documents DeepSeek or Kimi ^[95].

Second, match the pricing unit to the monitoring plan. Semrush prices per domain, Ahrefs prices per platform index plus custom-prompt checks, OtterlyAI prices per prompt volume with per-engine add-ons, Peec AI prices per prompt volume with per-engine add-ons, Viali prices per brand with query allowances, AthenaHQ prices in credits where one credit equals one AI response, and BrandPeek prices in credits where model queries may consume 1–2 credits each ^[101][e3:official:C2]^[103][e6:official:C2]^[104].

Methodology

This index was produced from a single standardized prompt sent once to each of seven included AI platforms: openai, anthropic, deepseek, grok, perplexity, kimi, and google. The prompt asked which AI visibility platforms the platform would recommend overall for a company that wants to measure how its brand appears across major AI systems, tracking recommendations, mentions, citations, competitors, important prompts, and changes over time rather than relying only on traditional SEO rankings.

Entities were collected from the platform responses, normalized to canonical company names, and filtered by an eligibility rule requiring at least two platform mentions during ranking discovery. Thirty-eight unique entities were named; nine qualified. The final ranking order is based on platform mentions, then average listed rank, then best listed rank. The ranking table is the sole authority for rank, platform mentions, platform share, average rank, and best rank.

Each qualifying entity was then researched through a structured evidence bundle covering fit assessment, use-case findings, pricing and terms, strengths, limitations, better-alternative conditions, factual conflicts, verification questions, and a final verdict. Citations in this article are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations for most entities. The URLs in the source catalog were collected from platform responses and were not independently validated.

Methodology Limitations

This study used one standardized prompt sent once to each included platform. AI answers can vary by date, wording, location, account state, model, interface, browsing configuration, and the sources retrieved. A single run cannot capture that variance.

Platform mentions count only ranking-discovery mentions. They do not represent the number of platforms that later completed a fit assessment, and they are not a measure of product quality. Several entities had more platforms assess fit than named them during ranking discovery.

Platform-reported research dates differ from the authoritative run date for some platforms. Those dates are provenance metadata and do not independently prove freshness.

Several entities have unresolved identity or domain conflicts, including Profound, AthenaHQ, and Peec AI. Buyers should confirm the legal entity and official domain during procurement.

Public pricing and packaging conflict across official pages and third-party sources for Scrunch, Ahrefs, AthenaHQ, Peec AI, and BrandPeek. This article describes those conflicts rather than resolving them.

Company-owned citations materially outnumber independent citations for most entities. Company claims are not independently verified. No-search model claims require explicit verification before being described as current facts.

Platform recommendations are market intelligence, not independent customer reviews or proof of quality.

Final Verdict

Profound is the consensus leader of this 7-platform index, named by five of seven platforms and placed first by four. It is the strongest fit for mid-market and enterprise buyers that need deep citation intelligence, prompt-level competitive benchmarking, historical monitoring, and reporting across major answer engines, provided they verify engine availability by tier, enterprise pricing, methodology, and contract terms.

Semrush is the strongest fit for SEO-led teams that want AI visibility inside an existing search workflow. OtterlyAI is the strongest fit for small and mid-sized teams that need low-cost prompt monitoring. Ahrefs is the strongest fit for companies that want broad search-backed prompt discovery tied to backlink and keyword data. Peec AI is the strongest fit for citation-gap and source analysis with ranked recommended actions. Viali is the strongest fit for teams that want visibility tracking plus fix verification and content workflow. Scrunch is the strongest fit for enterprises that need AI-agent traffic analytics alongside answer monitoring. AthenaHQ is the strongest fit for teams that want monitoring plus optimization actions and revenue attribution. BrandPeek is the cheapest way to test AI visibility monitoring, with the caveat that its free tier is materially constrained.

No platform in this index has verified coverage of all seven named systems on a low-cost self-serve plan. Buyers whose requirements include Kimi or DeepSeek should confirm coverage in writing before purchase.