Best AI Visibility Platforms for High-Intent Commercial Prompts

Answer Capsule

Profound is the consensus leader for monitoring high-intent commercial prompts across AI answer engines, named by 6 of 7 platforms at an average listed position of 1.0 and a best position of 1. Peec AI (6 mentions, 85.7% share, average 3.5) is the strongest alternative for mid-market and agency buyers who want transparent self-serve pricing and daily prompt tracking. Semrush (5 mentions, 71.4%) is the best fit for teams already running SEO workflows, while Otterly.AI (5 mentions, 71.4%) is the lowest-cost credible entry point. This index studied 7 platforms — openai, anthropic, deepseek, grok, perplexity, kimi, and google — using one standardized prompt sent once to each. The principal limitation is that platform recommendations are market intelligence, not independent customer reviews or proof of quality, and several entities carry conflicting pricing, plan names, and identity records that buyers must verify directly.

Research Snapshot

• Topic: Best AI visibility and LLM monitoring platforms for high-intent commercial prompts
• Target buyer: Companies seeking AI visibility platforms for high-intent commercial prompts across AI search, generative-answer, and recommendation platforms
• Geography: United States
• Platforms included (7): openai, anthropic, deepseek, grok, perplexity, kimi, google
• Research date: 2026-09-19
• Unique entities named across platforms: 31
• Qualifying entities: 7
• Eligibility rule: Named by at least two platforms during ranking discovery
• Ranking unit: Software platform or research platform
• Method: One standardized prompt sent once to each included platform

The prompt asked which AI visibility platforms the platform would recommend for monitoring the AI prompts closest to a purchase decision — best-provider questions, product comparisons, alternatives, vendor recommendations, and service-selection questions — and why, against six criteria: recommendation frequency, recommendation position, competitor benchmarking, citations, source intelligence, and historical tracking.

The Consensus Ranking

Questions This Section Answers

• What are the best AI visibility platforms for high-intent commercial prompts in 2026?
• Which AI visibility platform has the strongest cross-platform consensus for commercial prompt monitoring?
• How many of the 7 studied AI platforms named each AI visibility vendor?

Platform mentions count only ranking-discovery mentions — the number of platforms that named the entity when asked which platforms they would recommend. They do not count the number of platforms that later completed a fit assessment; all 7 platforms evaluated fit for every qualifying entity.

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

Questions This Section Answers

• Which AI visibility platform should an enterprise buyer choose for high-intent commercial prompt monitoring if multi-engine coverage matters?
• Which AI visibility platform is best for an agency managing multiple client brands on a limited budget?
• Is Semrush or Ahrefs better for a team that wants AI visibility inside an existing SEO workflow?

1. Profound

Questions This Section Answers

• Is Profound worth it for high-intent commercial prompt monitoring, and what are its main drawbacks?
• Which AI visibility platform should an enterprise choose if it needs citation-share trends and citation-decay monitoring?
• How much does Profound cost for multi-engine AI visibility tracking, and what limits apply to the Growth plan?

Profound is the consensus leader in this index: 6 of 7 platforms named it, every one of them placed it first, and its average listed position is 1.0. It is a purpose-built answer-engine optimization platform that runs structured prompts across AI platforms daily and analyzes brand visibility, sentiment, ranking, competitive presence, and citations ^[1]. The complete fit review is available at Profound.

Why it ranked here. Profound was the only entity named by six platforms and ranked first by all six. Platforms converged on its combination of daily prompt measurement, citation tracking, competitor benchmarking, and historical citation trends. Anthropic described it as a strong fit for companies seeking AI visibility tracking across multiple answer engines with recommendation monitoring, competitive benchmarking, and citation source intelligence ^[2]. Google called it a market-leading, enterprise-grade AEO platform ^[3]. DeepSeek rated the fit mixed, citing thin independent validation of measurement accuracy and sales-led contracting ^[4].

Best suited for. Enterprise and growth-stage brands monitoring high-intent commercial prompts across ChatGPT, Perplexity, and Google AI Overviews; marketing, SEO, and content teams needing competitor benchmarking, citation analysis, historical trends, and AEO workflows; agencies requiring multi-workspace or client-oriented monitoring, subject to plan and workspace pricing.

Main strengths for the use case. Daily prompt-based measurement with citation tracking, competitive presence analysis, and historical citation trends, including week-over-week citation counts and citation-decay monitoring ^[5]. Source intelligence identifies cited URLs, citation share, and pages with citation potential. Growth provides a publicly disclosed entry point for multi-engine monitoring; Enterprise is designed for broader engine, prompt, workspace, and support requirements. Enterprise includes SOC 2 Type II compliance, SSO/SAML, role-based access control, and a dedicated specialist with a 24-hour SLA ^[6]. Query Fanout Analysis tracks how AI engines decompose a single user prompt into secondary queries ^[7].

Main limitations. Growth publicly covers only three answer engines, which may be insufficient for buyers whose customers use Gemini, Claude, Copilot, Grok, DeepSeek, or Google AI Mode. Prompt and response-volume limits may constrain statistically robust measurement of large commercial-query portfolios. Enterprise pricing and exact limits are not public. Cross-engine ranking and recommendation-position methodology is not sufficiently specified in public materials. Platform-reported visibility and citation metrics should not be treated as proof of increased sales or recommendation causality. Benchmarking against Profound's network may not be fully representative of the buyer's market, category, geography, or exact commercial prompts.

Pricing or cost summary. Public pricing lists Starter at $99/month billed yearly (50 prompts, ChatGPT only, 100 Agent credits/month), Growth at $399/month billed yearly (three answer engines, 100 prompts, 9,000 responses/month, 400 Agent credits/month), and Enterprise at custom pricing ^[1]. Agency Growth is publicly described at $99/month with 10 pitch workspaces per month; full client workspaces are listed at an additional $399/month per client workspace in an independent pricing record ^[8]. Additional Agent-credit thresholds require an Enterprise package. Anthropic reported that as of September 2026 Profound removed public self-serve pricing pages and now shows only a free trial and Enterprise contact option, with Enterprise pricing estimated by independent reviewers at $2,000–$5,000+/month ^[9].

Where platforms disagreed. DeepSeek rated the fit mixed and flagged unreconciled conflicts between a reported ~$399/month Growth tier and a sales-only official site ^[10]. Anthropic reported the September 2026 removal of public self-serve pricing, while OpenAI and Grok cited the $99/$399 tiers as current. Engine counts conflict: Grok and Kimi describe up to 10+ engines on Enterprise, while Anthropic's cited comparison lists up to 9 ^[11]. DeepSeek's research ran without search enabled, so its claims are model-reported rather than retrieved.

2. Peec AI

Questions This Section Answers

• Is Peec AI or Profound better for high-intent commercial prompt monitoring when transparent self-serve pricing matters?
• Which AI visibility platform should a mid-market team choose if it needs daily prompt tracking and unlimited user seats?
• How much does Peec AI cost, and what do extra AI models add to the bill?

Peec AI ranked second with 6 mentions, an 85.7% share, an average listed position of 3.5, and a best position of 2. It is positioned as a brand AI-search visibility platform with daily prompt-level tracking, competitor benchmarking, citation analysis, and source intelligence. The complete fit review is available at Peec AI.

Why it ranked here. Peec AI matched Profound on mention count (6) but placed lower on average position. Platforms consistently described it as the strongest mid-market alternative: OpenAI rated the fit strong for recurring, prompt-level measurement of recommendation frequency, position, competitor performance, citations, source intelligence, and historical change ^[13]. Grok rated it strong for prompt-level tracking, competitor benchmarking, citation analysis, and intent classification across ChatGPT, Perplexity, Gemini, Google AI Overviews/Mode, and Copilot ^[14]. Kimi rated it uncertain because its official site could not be retrieved during that platform's research ^[15].

Best suited for. In-house SEO, content, brand, and digital-marketing teams tracking high-intent commercial prompts; agencies managing multiple brand or client visibility programs; buyers prioritizing daily monitoring, competitor benchmarking, citation analysis, and trend reporting.

Main strengths for the use case. Daily prompt-level tracking reports visibility, position among mentioned brands, sentiment, and which source domains AI systems cited ^[16]. Competitor benchmarking compares visibility against direct competitors, including regional breakdowns and specific mention position ^[17]. Source intelligence reveals whether AI relies on the buyer's own content or third-party sources ^[18]. Peec uses UI scraping (real browser simulation) rather than API querying, which it positions as an accuracy advantage ^[19]. All paid plans include unlimited user seats ^[20].

Main limitations. Base plans include only 3 AI models; adding Claude, Grok, or DeepSeek costs €20–30 per month per model on base tiers, or $35–$165/month depending on tier ^[21]. Prompt limits fill quickly for brands tracking brand, competitors, and multiple intent variations. The platform is monitoring-only with no content execution tools ^[22]. API access is restricted to Enterprise, and white-label reporting is unavailable on self-serve plans ^[23]. Per-prompt cost is approximately $1.99 on Pro, roughly 2x mid-tier competitors at ~$0.99 per prompt ^[24]. No public commitment to SOC 2 Type II, HIPAA, or advanced security certifications ^[25]. Historical tracking depth and data retention are not publicly specified.

Pricing or cost summary. Self-serve brand plans: Starter $95/month (50 prompts), Pro $245/month (150 prompts), Advanced $495/month (350 prompts), with a 15% annual discount ^[26]. Agency credit-based plans: Essential €205/month (~10,000 credits), Growth €425/month (~25,000 credits), Scale €675–€795/month (~65,000 credits) ^[27]. Enterprise is custom. Additional AI models cost €20–30/month each on base tiers. A 7-day free trial is available across self-serve plans. OpenAI reported that the current public pricing page confirms Starter, Pro, Advanced, and Enterprise brand plans but did not expose exact dollar amounts in the retrieved page content, so supplied figures should be treated as unverified current pricing ^[28].

Where platforms disagreed. Google listed Peec AI at rank 9 with a €199/month Pro plan covering 100 prompts ^[29], while Anthropic and Grok cited $245/month for 150 prompts. Kimi rated the fit uncertain because the official site could not be retrieved and no independent source confirmed engine coverage, pricing, or commercial-prompt methodology ^[30]. DeepSeek also rated it mixed, citing conflicting plan names and prices and an unverified domain ^[31]. Supported model counts conflict across Peec's own pages: one lists 11 LLM models on Enterprise, another lists 13 including Grok and Claude Haiku ^[32].

3. Semrush

Questions This Section Answers

• Is Semrush worth it for high-intent commercial prompt monitoring if the team already runs SEO workflows?
• Which AI visibility platform should a buyer choose if it needs prompt-level visibility plus traditional SEO, content, and site-audit data?
• How much does the Semrush AI Visibility Toolkit cost per domain, and what prompt limits apply?

Semrush ranked third with 5 mentions, a 71.4% share, an average listed position of 3.6, and a best position of 2. Its AI Visibility Toolkit tracks how brands appear in AI-generated answers and integrates with Semrush's SEO, content, and site-audit ecosystem. The complete fit review is available at Semrush.

Why it ranked here. Semrush was named by five platforms and placed as high as second by Google and OpenAI. OpenAI rated it a good fit for companies that want AI recommendation, citation, competitor, prompt, and historical-visibility reporting integrated with established SEO workflows ^[33]. Google described a proprietary AI Visibility Score (0–100) combining Topic Coverage and Mention Consistency across ChatGPT, Gemini, Google AI Mode, and Google AI Overviews ^[34]. Kimi rated the fit uncertain, reporting that no independent verification of dedicated AI answer-engine tracking capabilities was found in its September 2026 search results ^[35].

Best suited for. SEO and marketing teams already using Semrush; companies benchmarking brand recommendations and citations against competitors; high-intent commercial programs that need prompt-level visibility plus traditional SEO, content, and site-audit workflows; teams needing recurring reports and historical trend tracking rather than one-time audits.

Main strengths for the use case. Direct reporting on mentions, citations, cited pages, visibility, sentiment, and share of voice. Competitor Research compares mentions, citations, and topic coverage side by side, with up to four competitors compared at once. The AI Search Site Audit tracks technical issues preventing AI bots from scraping the site, flagging missing llms.txt files, robots.txt blocks, and outdated headers ^[36]. Prompt Research provides keyword research for AI with topic-level volume, difficulty, and intent data ^[37]. Semrush states its dataset includes 317M+ AI queries and 126M prompts in the 2026 AI Visibility Index ^[37].

Main limitations. Base-plan prompt capacity is limited to 25 custom prompts, which may be inadequate for broad product catalogs, locations, or many purchase-stage queries. Coverage publicly emphasizes ChatGPT, Google AI, Gemini, and Perplexity; broader assistant coverage is unclear. Data is partly based on Semrush-generated synthetic prompts and a proprietary prompt database, so results may not represent every real user query. Per-domain pricing can become expensive for multiple brands, countries, or domains. No cited independent evidence establishes measurement accuracy, causal impact on recommendations, conversion attribution, or revenue lift. No free trial is stated for the standalone toolkit.

Pricing or cost summary. The official AI Visibility Toolkit pricing page lists a Base plan at $99 per month per domain when billed annually ^[38]. Semrush documentation separately states that additional Brand Performance domains can cost $99 per domain per month. Semrush One bundles SEO and AI Visibility: Starter $199/month (50 prompts, 5 domains), Pro+ $299/month (100 prompts, 15 domains), Advanced $549/month (200 prompts, 40 domains) ^[39]. Additional prompts cost $60/month per 50; additional users cost $45/month on SEO plans or $20/month on non-SEO toolkits. A 7-day free trial is available for Semrush One plans but not for the standalone Base AI Visibility Toolkit.

Where platforms disagreed. Pricing conflicts materially: OpenAI cited the official $99/month per domain Base plan while noting a supplied $139.95/month Semrush One base plus add-on figure ^[38]. Update cadence conflicts: the pricing page lists daily, weekly, and monthly updates, while feature documentation says reports automatically update weekly ^[37]. Kimi could not verify AI-specific capabilities at all ^[35]. Google noted that independent reviewers debate the accuracy of Semrush's proxy-based tracking versus direct API integrations ^[40]. Anthropic reported that Adobe's acquisition of Semrush completed April 28, 2026, with product roadmap implications unclear ^[41].

4. Otterly.AI

Questions This Section Answers

• Is Otterly.AI worth it for high-intent commercial prompt monitoring on a small budget, and what are its main drawbacks?
• Which AI visibility platform should a buyer choose if it needs the lowest published entry price with daily prompt tracking?
• What do Claude, Gemini, and Google AI Mode add-ons cost on Otterly.AI plans?

Otterly.AI ranked fourth with 5 mentions, a 71.4% share, an average listed position of 5.4, and a best position of 3. It is the lowest-cost credible entry point in this index, with daily prompt monitoring, citation analysis, competitor benchmarking, and GEO audits. The complete fit review is available at Otterly.AI.

Why it ranked here. Otterly.AI was named by five platforms and placed as high as third by Grok. OpenAI rated it a good fit for repeatable monitoring of high-intent commercial prompts across major AI search engines, with competitor visibility, recommendation-position signals, citation analysis, and historical tracking ^[42]. Google called it an excellent diagnostic platform and the standard first-buy choice for brands wanting to measure share of voice, rankings, and citations across conversational search ^[43]. DeepSeek rated the fit mixed, citing limited independent verification of recommendation frequency and position accuracy ^[44].

Best suited for. SMBs and marketing teams monitoring commercial prompts across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot; teams needing competitor presence, relative ranking or prominence, cited-source intelligence, and daily historical monitoring; agencies or multi-brand teams needing multiple workspaces, exports, API/MCP access, and scalable prompt pools.

Main strengths for the use case. Direct measurement of brand mention frequency, coverage, competitor presence, relative prominence or ranking, and citations at prompt level. Daily monitoring and historical trend views are well aligned with high-intent commercial prompts whose answers change frequently. Standard includes 100 prompts, unlimited workspaces, API/MCP access, and reporting capabilities. Citation and source views identify which third-party pages and domains influence recommendations. OtterlyAI automatically captures all cited URLs and source domains in AI-generated responses for tracked prompts, logging link position changes weekly ^[45]. The platform released a public API, a Claude Skill, and the OtterlyAI Marketplace on June 1, 2026 ^[46].

Main limitations. Base pricing covers four engines; full seven-engine coverage requires paid add-ons. The platform monitors prompts selected or generated by the customer; it does not provide verified, comprehensive logs of actual consumer AI queries. Engine responses are probabilistic and may vary by location, account state, personalization, model version, and collection timing. Public evidence is primarily vendor documentation; independent evidence for recommendation-position accuracy, visibility lift, and revenue impact is limited. Prompt volume and add-on pricing can make multi-market, multi-product, or agency-scale monitoring substantially more expensive than the entry price. Otterly stores results only from the day tracking starts, with no earlier backfill ^[47]. G2 reviewers single out the sentiment classifier as oversensitive ^[48].

Pricing or cost summary. Lite: $29/month or $25/month equivalent on annual billing (15 prompts). Standard: $189/month or $160/month equivalent on annual billing (100 prompts). Premium: $489/month or $422/month equivalent on annual billing (400 prompts). Enterprise: custom, starting from $1,000/month ^[49]. Additional 100 prompts on Standard or Premium: $99/month. Google AI Mode and Gemini add-ons: $59/month each on Standard; Claude add-on: $109/month on Standard. Lite add-ons are $9/month for Google AI Mode or Gemini and $29/month for Claude. A free trial is offered without a credit card, but public pages conflict on trial duration.

Where platforms disagreed. Trial duration conflicts: the official agency page states 7 days, while an older official announcement and an independent review reference 14 days ^[49]. Engine counts conflict across official pages, listing six or seven tracked engines. Kimi reported that the exact engine count was unspecified in its sources and that the Standard tier price was not found ^[50]. DeepSeek rated the fit mixed and noted that the $29/month Starter price could not be confirmed on an official pricing page in its sources ^[51].

5. AthenaHQ

Questions This Section Answers

• Is AthenaHQ worth it for high-intent commercial prompt monitoring, and what are its main drawbacks?
• Which AI visibility platform should an ecommerce buyer choose if it needs to attribute AI citations to revenue?
• How does AthenaHQ's credit-based pricing work, and what happens when credits run out?

AthenaHQ ranked fifth with 5 mentions, a 71.4% share, an average listed position of 5.6, and a best position of 5. It is an AEO/GEO platform with broad stated platform coverage, competitor and source intelligence, content recommendations, and ecommerce revenue attribution. The complete fit review is available at AthenaHQ.

Why it ranked here. AthenaHQ was named by five platforms and placed fifth by Google and Grok. Google rated it an exceptionally strong fit for companies targeting high-intent commercial prompts because it specializes in AEO and GEO, offering AI product recommendation tracking and direct Shopify/GA4 revenue attribution ^[52]. Grok rated it strong for tracking recommendation frequency, position, citations, competitor benchmarking, and source intelligence across AI search platforms ^[53]. DeepSeek and Kimi both rated the fit uncertain, citing near-absence of independent third-party coverage and unverified pricing ^[54].

Best suited for. Growth-stage SaaS and ecommerce companies monitoring high-intent prompts across multiple AI platforms; teams wanting visibility monitoring combined with competitor/source intelligence and content recommendations; organizations willing to evaluate a credit-based model and potentially purchase API, extra-credit, integration, or enterprise capabilities.

Main strengths for the use case. Broad stated coverage of AI search and generative-answer platforms, including major engines relevant to commercial recommendations. Explicit source and competitor intelligence is aligned with high-intent visibility assessment. Content recommendations and optimization actions connect measurement to remediation. A free entry tier permits initial testing before a paid commitment. Enterprise controls and reporting are relevant to larger organizations with security, governance, and multi-region requirements. The platform monitors 8+ AI platforms on all plans from day one ^[55]. Shopify and GA4 integrations let ecommerce brands tie AI visibility to revenue ^[56]. The Action Center generates structured GEO optimization workflows ^[57].

Main limitations. Recommendation frequency and recommendation-position methodology are not sufficiently documented publicly. Historical retention, sampling frequency, prompt-volume limits, and cross-engine comparability are unclear. Credit-based pricing may create variable costs as prompt coverage expands. API access and extra credits are paid add-ons on Starter, and add-on pricing is not public. Public evidence is primarily vendor-controlled; independent evidence validating accuracy, customer outcomes, and comparative performance is limited. The Athena Citation Engine (ACE) is Enterprise-only ^[58]. The platform may be more than needed for buyers seeking only low-cost monitoring without content or workflow features.

Pricing or cost summary. The official site shows a free Essential tier with $25 in free credit and 300 credits, a Starter tier at $295/month with $300 in free credit and 3,600 credits, and a custom-priced Enterprise tier ^[59]. One credit equals one AI response. Annual billing is displayed as 17% off. Extra credits are reported at $100 per 1,250 credits ^[60]. API access and additional seats are billed as optional add-ons on top of Starter, with pricing requiring vendor contact. Anthropic reported a $95 introductory rate for the first month on Self-Serve, dropping to $295/month after ^[61].

Where platforms disagreed. Pricing and plan naming conflict across public sources: some cite Essential free plus Starter $295/month, while others describe Self-Serve at $295/month, a $95 promotional first month, or additional tiers such as Growth ^[62]. Platform coverage is reported as 6 platforms in some sources, 8+ in others, and up to 9+ including Amazon Rufus in others. DeepSeek rated the fit uncertain and reported that no public data was available for recommendation frequency or historical tracking ^[63]. Kimi rated it uncertain, reporting zero independent third-party reviews or validated customer outcomes ^[54].

6. Scrunch AI

Questions This Section Answers

• Is Scrunch AI worth it for high-intent commercial prompt monitoring, and what are its main drawbacks?
• Which AI visibility platform should an agency choose if it needs multi-brand monitoring plus technical GEO audits?
• How much does Scrunch AI cost, and what does the Enterprise tier add over the Core plan?

Scrunch AI ranked sixth with 4 mentions, a 57.1% share, an average listed position of 5.5, and a best position of 4. It is an AI Visibility Command Center with prompt-level monitoring, competitor benchmarking, citation and source intelligence, historical trends, and an Agent Experience Platform for crawler delivery. The complete fit review is available at Scrunch AI.

Why it ranked here. Scrunch AI was named by four platforms and placed as high as fourth by Grok. OpenAI rated it a good fit for companies needing prompt-level monitoring of commercial recommendations across major AI answer engines, including brand presence, recommendation position, competitor benchmarking, citations, and historical trends ^[64]. Google rated it strong, calling it a premier choice for enterprise brands seeking to monitor and optimize visibility across commercial AI search, with unique brand-safety tools like hallucination detection and the Agent Experience Platform ^[65]. DeepSeek rated the fit mixed, citing unresolved identity and domain verification and absent public pricing ^[66].

Best suited for. US companies benchmarking high-intent commercial prompts across ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot; marketing and SEO teams needing competitor, position, citation, sentiment, and historical visibility reporting; organizations that need expanded model coverage, custom prompt volume, API access, SSO, or dedicated support.

Main strengths for the use case. Direct coverage of brand presence, share of voice, response position, citations, sentiment, competitor performance, and historical trends. Citation-level source intelligence identifies influential domains and URLs rather than only reporting brand mentions. Core has a clear entry price and is suitable for an initial benchmark using 125 prompts and four major AI platforms. Enterprise supports custom prompt volume, nine listed AI platforms, API access, SSO, custom workspaces, and dedicated account support. The Agent Experience Platform operates at the CDN level to detect agentic traffic and serve a condensed, token-optimized version of web pages to AI retrieval bots ^[67]. Scrunch offers an integrated hallucination detection system that flags incorrect pricing, fictional features, or outdated information surfaced by AI models ^[65].

Main limitations. Core's four-platform coverage may be insufficient for buyers prioritizing Claude, Gemini, Google AI Mode, Meta AI, or Grok. Enterprise pricing and limits are not publicly disclosed. Public documentation does not fully specify sampling frequency, response-refresh methodology, historical retention, regional query behavior, or the statistical meaning of recommendation frequency and position. The platform measures and diagnoses AI visibility; public evidence does not verify causal optimization, guaranteed recommendation gains, or revenue attribution. Independent reviewers report a weekly dashboard refresh rather than daily ^[65]. Scrunch lacks integrated content generation tools and off-site execution workflows ^[68].

Pricing or cost summary. Core is publicly listed at $250 per month for brands, including 125 unique prompts, five site audits per month, one brand workspace, and five user licenses ^[69]. Agency Core is $500/month with 250 prompts and three brand workspaces. Enterprise pricing is custom. Additional user licenses on Core cost $25/month per user or $75/month per 5-seat pack. A 7-day Core free trial is publicly stated. Annual billing with the equivalent of two months free is available only on Enterprise plans.

Where platforms disagreed. Plan naming conflicts: public pages show Core/Enterprise on pricing and FAQ pages, while another Scrunch FAQ page lists Explorer, Growth, and Enterprise ^[70]. Pricing conflicts: third-party reviews cite a $300/month Starter plan versus the official $250/month Core plan ^[65]. Grok noted that pricing and plan details vary across 2026 reviews due to platform changes and an acquisition by Sitecore in June 2026 ^[71]. DeepSeek reported that the official domain itself remains unverified after failed retrieval ^[66].

7. Ahrefs

Questions This Section Answers

• Is Ahrefs Brand Radar worth it for high-intent commercial prompt monitoring, and what are its main drawbacks?
• Which AI visibility platform should a buyer choose if it wants AI visibility inside an existing SEO and backlink platform?
• How much does Ahrefs Brand Radar cost when stacked on a base Ahrefs subscription?

Ahrefs ranked seventh with 3 mentions, a 42.9% share, an average listed position of 6.33, and a best position of 4. Its Brand Radar product combines AI visibility monitoring with Ahrefs' search, backlink, and content data. The complete fit review is available at Ahrefs.

Why it ranked here. Ahrefs was named by three platforms and placed as high as fourth by DeepSeek. OpenAI rated it a good fit for companies needing broad AI visibility discovery, competitor benchmarking, cited-source intelligence, and historical monitoring across major AI search and answer platforms ^[72]. Perplexity rated it a good fit for AI visibility tracking of high-intent commercial prompts when the buyer wants brand mention and share-of-voice monitoring inside a broader SEO platform ^[73]. Anthropic, DeepSeek, and Google all rated the fit mixed, citing accuracy gaps, stacked pricing, and model coverage limits ^[74].

Best suited for. Companies benchmarking brand and competitor visibility across Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, Copilot, and selected additional channels; teams needing citation, cited-domain, share-of-voice, mention, impression, and historical-trend analysis; SEO, content, and AEO teams connecting AI visibility findings to search demand, web visibility, cited pages, and content optimization.

Main strengths for the use case. Strong breadth across major AI search and answer platforms. A useful combination of exact custom prompts and large search-backed prompt indexes. Direct competitor benchmarking using mentions, citations, impressions, and AI Share of Voice. Cited-page and cited-domain intelligence suitable for source-gap analysis. Historical visibility reporting and API/reporting integrations. A natural fit for organizations already using Ahrefs SEO, content, search-demand, or competitive-analysis products. Brand Radar's Citation Funnel distinguishes "Cited In" from "Found In" metrics ^[75].

Main limitations. Recommendation-specific position measurement is not clearly documented as a standardized cross-platform metric. Custom-prompt monitoring consumes checks based on prompt, platform, and location, so broad daily coverage can become expensive. Indexed prompt data is refreshed periodically rather than necessarily checked live for every buyer question. Custom Prompt history starts when tracking begins; it is not automatically backfilled. Coverage may not represent logged-in, personalized, or private AI experiences. Grok monitoring is temporarily unavailable according to Ahrefs documentation. Some social-channel capabilities are described as beta and may later become paid add-ons. The evidence reviewed is primarily Ahrefs-owned; independent validation of accuracy, recommendation lift, or customer outcomes was not established. Independent tests reported Brand Radar undercounting ChatGPT mentions by roughly 97% in one case, reporting 3 mentions where manual checks found 123 ^[74].

Pricing or cost summary. Brand Radar AI is publicly listed from $199/month for a single platform/index or $699/month for all platforms ^[76]. Custom-prompt packages are listed at $50/month (2,500 checks), $100/month (7,000 checks), or $250/month (25,000 checks), with overage charges of $0.020, $0.015, and $0.010 per check respectively. Ahrefs subscription plans may separately include limited daily tracked-prompt quotas. AI Content Helper is free for 1 document/month, $99/month for 50 documents/month, or $299/month for the Content Kit. Brand Radar is publicly described as monthly; an Ahrefs blog states only Enterprise users can buy it annually.

Where platforms disagreed. Pricing conflicts materially: Ahrefs' pricing page and help center indicate $199/month per index or $699/month for all platforms, while an Ahrefs FAQ says Brand Radar is sold standalone from $50/month with no Ahrefs subscription required ^[77]. Indexed-prompt totals conflict across public Ahrefs pages, including approximately 405 million, 455 million, and 459 million ^[78]. Anthropic, DeepSeek, and Google rated the fit mixed, while OpenAI, Perplexity, and Kimi rated it good. Kimi reported that exact engine coverage for Brand Radar is not specified in reviewed sources ^[79].

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What do AI platforms consistently look for when recommending AI visibility platforms for commercial prompt monitoring?
• Which AI visibility capabilities are table stakes versus differentiators for high-intent commercial prompt tracking?

Three capabilities are treated as table stakes across nearly every entity: prompt-level tracking, competitor benchmarking, and citation or source intelligence. Every qualifying entity's evidence bundle describes some form of prompt monitoring, competitor comparison, and cited-source analysis. The differentiators cluster around four areas: engine breadth (Profound and AthenaHQ claim the widest coverage; Otterly.AI and Peec AI gate additional engines behind add-ons), historical depth (Profound documents citation-decay monitoring; Otterly.AI explicitly cannot backfill history), execution versus diagnosis (AthenaHQ and Profound include content or agent workflows; Peec AI, Otterly.AI, and Scrunch AI are monitoring-first), and pricing transparency (Peec AI and Otterly.AI publish self-serve tiers; Profound, Scrunch AI, and AthenaHQ Enterprise pricing is custom).

A second pattern is that SEO incumbents enter through bundling rather than specialization. Semrush and Ahrefs both attach AI visibility to existing search data, which lowers adoption friction for existing customers but introduces per-domain or per-index add-on costs that can exceed dedicated tools. A third pattern is measurement methodology divergence: Peec AI and Otterly.AI describe UI scraping or web-interface collection, Semrush describes a database-derived proxy approach, and Ahrefs describes a modeled, search-backed prompt index. Each method carries different accuracy and freshness trade-offs that buyers should test against their own prompt sets.

Where the AI Platforms Agreed

Questions This Section Answers

• Which AI visibility platforms do multiple AI platforms agree are strong for high-intent commercial prompt monitoring?
• Do AI platforms agree on which vendor leads for enterprise AI visibility?

Platforms agreed on the top of the ranking. Profound was named by six platforms and placed first by all six, producing an average listed position of 1.0 — the only entity with unanimous first-place placement. Peec AI was also named by six platforms, confirming it as the consensus second choice. Both entities were described as strong or good fits by most platforms that assessed them.

Platforms also agreed on the core capability set. Across Profound, Peec AI, Semrush, Otterly.AI, AthenaHQ, Scrunch AI, and Ahrefs, the same six criteria — recommendation frequency, recommendation position, competitor benchmarking, citations, source intelligence, and historical tracking — were mapped to concrete features rather than dismissed as unavailable. Platforms further agreed that no vendor provides guaranteed coverage of every AI surface, and that AI answers vary by location, account state, personalization, model version, and collection timing.

A third area of agreement: pricing opacity is a shared problem. Profound, Scrunch AI, and AthenaHQ Enterprise pricing is custom; Semrush and Ahrefs pricing conflicts across their own pages; Peec AI and Otterly.AI publish tiers but with currency and add-on inconsistencies. No platform described any vendor's pricing as fully settled.

Where the AI Platforms Disagreed

Questions This Section Answers

• Why do AI platforms disagree about whether Profound, Peec AI, Semrush, AthenaHQ, and Ahrefs are strong fits?
• Which AI visibility vendors received mixed or uncertain fit ratings, and what caused the disagreement?

Disagreement concentrated on four entities. Profound received strong ratings from Google and Grok, good ratings from OpenAI, Anthropic, Kimi, and Perplexity, and a mixed rating from DeepSeek, which cited thin independent validation and sales-led contracting ^[80]. Peec AI received strong ratings from OpenAI and Grok, good ratings from Anthropic, Google, and Perplexity, and uncertain ratings from Kimi and mixed from DeepSeek, both citing unretrievable official sites and conflicting pricing ^[81].

Semrush received good ratings from six platforms and an uncertain rating from Kimi, which could not verify AI-specific capabilities in its search results ^[83]. AthenaHQ received strong ratings from Google and Grok, good ratings from OpenAI and Perplexity, and uncertain ratings from DeepSeek and Kimi, both citing absent independent coverage ^[84]. Ahrefs received good ratings from OpenAI, Perplexity, and Kimi, and mixed ratings from Anthropic, DeepSeek, Google, and Grok, driven by documented accuracy gaps and stacked pricing ^[85].

A structural cause of disagreement is research capability. DeepSeek ran without search enabled, so its assessments are model-reported rather than retrieved. Kimi's web-plugin retrieval failed for Peec AI and AthenaHQ official sites, producing uncertain ratings. Platform-reported research dates also differ from the authoritative run date: Anthropic's bundle carries a 2026-01-17 date for Profound and 2026-05-15 for Semrush, and DeepSeek's carries dates ranging from 2026-01-15 to 2026-06-30. These are provenance metadata and do not independently prove freshness.

How Buyers Should Choose

Questions This Section Answers

• What should a buyer check before choosing an AI visibility platform for high-intent commercial prompt monitoring?
• Which AI visibility platform should a buyer pick if it needs verified engine coverage and published pricing before purchase?

Start with the constraint that eliminates the most options. If the buyer needs published self-serve pricing and a free trial, Peec AI and Otterly.AI are the clearest starting points; Profound, Scrunch AI, and AthenaHQ Enterprise require sales engagement. If the buyer needs the widest engine coverage, Profound and AthenaHQ claim the broadest lists, but both gate full coverage behind Enterprise pricing. If the buyer already runs Semrush or Ahrefs, the bundled path avoids a second vendor relationship but adds per-domain or per-index costs.

Then test the metric that matters most. For recommendation position, ask each vendor to define how position is calculated when an answer contains lists, tables, multiple citations, or no explicit ranking — Profound, Peec AI, Otterly.AI, and Scrunch AI all leave this partially unspecified in public materials. For historical tracking, ask for the retention window and whether backfill is available; Otterly.AI explicitly cannot backfill, and Ahrefs Custom Prompt history starts when tracking begins. For citation intelligence, ask whether the vendor distinguishes linked citations from unlinked mentions; Ahrefs and Peec AI both document this distinction, while others do not.

Finally, run a pilot against the buyer's own high-intent prompts. Every entity in this index carries at least one unresolved conflict — pricing, plan naming, engine counts, or identity verification — that a pilot can resolve faster than public documentation.

Methodology

This index used one standardized prompt sent once to each of 7 included platforms: openai, anthropic, deepseek, grok, perplexity, kimi, and google. The prompt asked which AI visibility platforms the platform would recommend for high-intent commercial prompt monitoring and why, against six criteria: recommendation frequency, recommendation position, competitor benchmarking, citations, source intelligence, and historical tracking.

The final ranking table is the sole authority for rank, platform mentions, platform share, average listed position, and best position. Ranking order is based on platform mentions, then average listed rank, then best listed rank. Platform mentions count only ranking-discovery mentions — the number of platforms that named the entity when asked which platforms they would recommend. They do not count the number of platforms that later completed a fit assessment; all 7 platforms evaluated fit for every qualifying entity.

Eligibility required an entity to be named by at least two platforms. Of 31 unique entities named across platforms, 7 qualified. Entity evidence bundles are the authority for buyer fit, features, pricing, strengths, limitations, disagreements, and citations. Citation IDs are entity-namespaced and local to each entity; they were consolidated by URL in the source catalog. The URLs were collected from platform responses and were not independently validated by either writer stage.

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 recommendations are market intelligence, not independent customer reviews or proof of quality. No entity in this index was rewarded or penalized based on affiliate status. Citations are platform-reported evidence, not independently verified facts; no-search model claims require explicit verification before being described as current facts.

Platform-reported research dates differ from the authoritative run date of 2026-09-19 and are provenance metadata only; they do not independently prove freshness. DeepSeek ran without search enabled, so its assessments are model-reported. Official-site retrieval failed for several entities, including Peec AI, Scrunch AI, Ahrefs, and AthenaHQ, and identity normalization used exact-name fallback in those cases; reported domains remain unverified. Company-owned citations materially outnumber independent citations for Semrush and Scrunch AI, so their capability claims should not be described as independently verified. Conflicting product names, pricing, and capabilities were preserved rather than resolved by guessing.

Final Verdict

Profound is the consensus leader for AI visibility platforms serving high-intent commercial prompts, named by 6 of 7 platforms at an average listed position of 1.0. Peec AI is the strongest alternative for mid-market and agency buyers who want transparent self-serve pricing and daily prompt tracking. Semrush is the best fit for teams already running SEO workflows, Otterly.AI is the lowest-cost credible entry point, AthenaHQ is the strongest fit for ecommerce revenue attribution, Scrunch AI is the strongest fit for agency multi-brand monitoring with technical GEO audits, and Ahrefs is the strongest fit for buyers who want AI visibility inside an existing search and backlink platform.

No entity in this index is unconditionally best. Every qualifying vendor carries at least one unresolved conflict in pricing, plan naming, engine coverage, historical retention, or identity verification. Buyers should treat this index as a shortlist and validate the specific metrics, limits, and contract terms that matter to their program before purchase.