Best AI Market Intelligence Platforms Overall

Answer Capsule

Profound is the consensus leader for AI market intelligence platforms in this 7-platform study, named by 6 of 7 platforms (85.7% share) at an average listed position of 1.33 and a best position of 1. It is strongest for enterprise teams needing citation-share benchmarking, source-category analysis, and cross-engine visibility. OtterlyAI (5 mentions, 71.4%) is the strongest lower-cost alternative for agencies and multi-brand teams, Peec AI (4 mentions, 57.1%) fits daily monitoring with unlimited seats, and Semrush (4 mentions, 57.1%) suits buyers who want AI visibility inside an existing SEO stack. AthenaHQ, Scrunch, and Ahrefs each appeared on 2 platforms (28.6%). The principal limitation: this study used one standardized prompt sent once to each included platform, so results reflect a single snapshot of platform-reported evidence rather than independently audited product performance.

Research Snapshot

• Topic: AI search audits and market intelligence platforms for companies that want to understand which companies AI systems recommend across an industry, not just track their own brand.
• Target buyer: Companies seeking AI market intelligence platforms across AI search, generative-answer, and recommendation platforms, United States.
• Platforms included (7): openai, anthropic, deepseek, grok, perplexity, kimi, google.
• Research date: 2026-09-18 (authoritative run date). Platform-reported research dates differ for some platforms and are disclosed in Methodology Limitations.
• Unique entities named across platforms: 38.
• Qualifying entities: 7.
• Eligibility rule: an entity had to be named by at least two platforms during ranking discovery to qualify for the final index.
• Ranking unit: software platform or research platform.
• Ranking authority: the final ranking table, ordered by platform mentions, then average listed rank, then best listed rank.

The Consensus Ranking

Questions This Section Answers

• What are the best AI market intelligence platforms for tracking which companies AI systems recommend in 2026?
• Which AI search audit platforms were named by the most AI platforms in this 7-platform study?
• Which AI market intelligence platform has the best average listed rank across platforms?

Platform mentions count only ranking-discovery mentions. All seven included platforms later completed a fit assessment, but that is not the same as naming an entity during ranking discovery.

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

Questions This Section Answers

• Which AI market intelligence platform should a buyer choose if they need citation-share benchmarking and source-category analysis?
• Is Profound or OtterlyAI better for an agency tracking multiple client brands on a limited budget?
• Which AI visibility platform should a company choose if it already pays for Semrush or Ahrefs SEO tooling?

1. Profound

Questions This Section Answers

• Is Profound worth it for AI market intelligence, and what are its main drawbacks?
• Which Profound plan covers Claude and Gemini, and what does Enterprise cost?
• Does Profound track which companies AI systems recommend across an industry, or only citations to tracked brands?

Profound is the consensus leader in this index and the only entity named by six of seven platforms. It is best understood as an answer-engine visibility and citation-intelligence platform rather than a general market-research dataset. Its core product, Answer Engine Insights, analyzes brand performance across AI answer engines including ChatGPT, Perplexity, and Gemini, with broader product materials also referencing Google AI Overviews ^[1]. It reports citation share relative to competitors, identifies prompts where competitors are cited but the buyer is not, and shows pages gaining or losing citation share ^[3]. Citation sources are classified into categories such as owned, competitor, earned media, PR wire, social, and institution, which directly supports source-influence and citation-architecture analysis ^[5].

Why it ranked here. Profound received the highest platform mentions (6), the best average listed position (1.33), and the best position (1). Six platforms named it during ranking discovery: anthropic, deepseek, google, grok, openai, and perplexity. No other entity in this index matched that combination.

Best suited for. Enterprise marketing, SEO, communications, and content teams monitoring brand and competitor visibility across major answer engines; buyers needing citation-level analysis and citation-share benchmarking; organizations wanting monitoring plus downstream content or outreach workflows through the broader Profound platform.

Main strengths for this use case. Direct alignment with AI-search and generative-answer intelligence rather than conventional SEO alone. Citation-share and competitor comparison capabilities are directly relevant to recommendation and source-performance analysis. Source categories, cited pages, and clusters can help explain why competitors appear in answers. Cross-engine monitoring supports platform-specific market comparisons. Enterprise positioning and tailored prompt tracking suit organizations with broad brands and markets.

Main limitations. Prompt-based measurements may not equal actual user-level recommendation share or market share. Coverage, prompt limits, historical retention, and integrations appear plan-dependent. Public materials do not fully document model versions, sampling design, confidence intervals, or how recommendation intent is separated from simple mentions. Enterprise pricing and contractual terms are not publicly established. Independent evidence validating Profound's methodology and comparative accuracy is limited. One platform went further, stating that Profound tracks citations of tracked brands and competitors rather than which companies AI systems recommend across an industry, calling that a core gap for market-wide intelligence ^[6].

Pricing or cost summary. Public pricing information is inconsistent across sources. Profound's pricing page describes Starter, Growth, and Enterprise tiers and states that Enterprise pricing is tailored ^[7]. A third-party pricing listing reports approximately $99 per month for Starter and $399 per month for Growth, but those figures should not be treated as authoritative without confirmation ^[8]. One platform reported Starter at $99/month (ChatGPT only, 50 prompts) and Growth at $399/month (three answer engines, 100 prompts), with Enterprise estimated at $2,000–$5,000+/month based on third-party sources ^[9]. Another reported a 7-day free trial on Growth but not Starter ^[11]. Pricing confidence across the evidence is low to moderate.

Where platforms disagreed. Fit ratings ranged from strong (openai, grok, kimi) to good (google, perplexity) to mixed (anthropic, deepseek).

2. OtterlyAI

Questions This Section Answers

• Is OtterlyAI worth it for AI market intelligence, and what are its main drawbacks?
• Which OtterlyAI plan should an agency choose for multi-brand AI visibility tracking, and what do engine add-ons cost?
• Does OtterlyAI track Claude and Gemini in its base plans, or are they paid add-ons?

OtterlyAI is the strongest lower-cost alternative in this index and the second-most-named entity, appearing on five platforms. It runs configured prompts across ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Copilot, and Claude, then reports brand mentions, ranking or prominence, coverage, sentiment, and share of voice ^[12]. Its citation reporting tracks cited URLs, domain coverage, citation counts, competitor domains, citation trends, and whether cited URLs mention the tracked brand ^[14]. A GEO Audit evaluates individual pages for crawlability, extractability, structured data, and entity signal strength, which one platform described as its most distinctive differentiator versus bare mention trackers ^[16].

Why it ranked here. OtterlyAI was named by five platforms (anthropic, google, grok, openai, perplexity) at an average listed position of 3.8 and a best position of 2. Its platform share of 71.4% is second only to Profound.

Best suited for. Marketing and SEO teams monitoring brand and competitor visibility across AI answer engines; companies analyzing which domains and URLs influence AI answers; agencies and multi-brand teams needing prompt tracking, reports, API/MCP access, and scalable prompt volumes.

Main strengths for this use case. Direct coverage of brand recommendations, competitor visibility, citation share, cited URLs, domain coverage, and share of voice. Daily monitoring across multiple major AI answer engines. Prompt-level detail showing responses, competitor ranking, and citations. Historical trend views for brand, domain, and citation performance. Operational recommendations connected to observed visibility and citation gaps. API, MCP, export, and Looker Studio options on higher tiers.

Main limitations. Results depend on the buyer's selected prompts, competitors, engines, geography, and tracking configuration. Several important engines are paid add-ons rather than included in base plans. No independently verified accuracy or market-representativeness evidence was found in the reviewed sources, which are predominantly OtterlyAI-owned. Public materials do not clearly specify historical-data retention duration while subscribed. Cancellation can result in deletion of tracked engine data and historical data. The product measures observed generated answers and citations; it does not establish that recommendations reflect actual purchase demand or market share. One platform also noted that deeper competitive research and market trend analysis are reported as stronger in other platforms ^[17].

Pricing or cost summary. Public pricing lists Lite at $29/month, Standard at $189/month, and Premium at $489/month, with annual prices shown as 15% lower: approximately $25, $161, and $422 per month respectively [e2:official:C2]. Enterprise starts from $1,000/month ^[18]. Additional 100 prompts cost $99/month on Standard or Premium ^[19]. Engine add-ons vary by plan: Google AI Mode and Gemini at $9 (Lite) / $59 (Standard) / $149 (Premium) per month, and Claude at $29 (Lite) / $109 (Standard) / $439 (Premium) per month ^[20]. A 7-day free trial is advertised ^[22]. Pricing confidence is high on the self-serve tiers.

Where platforms disagreed. Fit ratings ranged from strong (grok) to good (anthropic, google, openai, perplexity) to uncertain (deepseek, kimi).

3. Peec AI

Questions This Section Answers

• Is Peec AI worth it for daily AI search visibility monitoring, and what are its main drawbacks?
• Which Peec AI plan includes API access and more than three AI models?
• Does Peec AI provide historical data backfill when an account is first set up?

Peec AI ranked third with four platform mentions and the second-best average listed position in the index (3.0). It tracks brand mentions, citations, position, and sentiment across six core AI models — ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity, and Gemini — with daily tracking frequency ^[23]. Its methodology uses UI scraping to simulate real browser sessions rather than relying solely on official APIs, which independent sources describe as differentiating it from API-only competitors ^[24]. It distinguishes between brand mentions and source citations, clustering citation sources into owned pages, editorial coverage, reference sites, and UGC communities ^[26].

Why it ranked here. Peec AI was named by four platforms (deepseek, google, grok, openai) at an average listed position of 3.0 and a best position of 2. Its average position is better than OtterlyAI's, but it was named by one fewer platform, which places it third under the ranking rule.

Best suited for. Marketing, SEO, GEO, and digital-agency teams tracking brands and competitors across multiple AI-search platforms. Organizations needing daily monitoring, source and URL analysis, share-of-voice metrics, multi-country tracking, dashboards, and API access at Enterprise level. Larger research programs that can use Advanced or negotiate Enterprise requirements.

Main strengths for this use case. Comprehensive daily AI visibility tracking across six major platforms with UI scraping for user-accurate data capture. Strong citation intelligence that distinguishes brand mentions from actual citations and traces specific source URLs and domains. Robust competitor benchmarking with share-of-voice metrics and regional visibility breakdowns. Scalable for agencies and multi-brand teams with unlimited user seats, multi-project support, and credit-based agency plans. MCP and API integrations enable data flow into Claude, n8n, and custom BI tools ^[27].

Main limitations. Self-serve plans cap tracking at three of seven available engines; Claude, DeepSeek, and emerging models require Enterprise contracts ^[28]. No traffic attribution or ROI measurement: the platform cannot connect citations to website visits, leads, or revenue impact ^[30]. Monitoring-only scope: it identifies visibility gaps and recommends actions but does not execute content updates. No historical market trend analysis or one-time market research baselines; data tracking begins on the day the account and prompt tracking are set up ^[31]. Enterprise infrastructure gaps: no public SOC 2 certification, and API access plus SSO are Enterprise-only ^[32].

Pricing or cost summary. Independent review reports $95/month Starter, $245/month Pro, and $495/month Advanced on monthly billing, with annual-equivalent prices of approximately $80, $205, and $420 per month ^[33]. The official pricing page confirms plan structure and feature entitlements but does not expose numeric prices in the captured text ^[34]. Advanced includes 350 prompts, five projects, daily tracking, multi-country support, and Looker Studio integration. Enterprise is custom-priced with API access, SSO, unlimited projects, custom prompt setup, all models, and dedicated support. Extra model add-ons are reported at €25–€140/month depending on tier ^[28]. A 7-day free trial with no credit card required is reported ^[35].

4. Semrush

Questions This Section Answers

• Is Semrush worth it for AI market intelligence, and what are its main drawbacks?
• Which Semrush plan should a buyer choose for AI visibility tracking, and what do extra domains and seats cost?
• Does the Semrush AI Visibility Toolkit cover Claude and Copilot, or are those Enterprise-only?

Semrush ranked fourth with four platform mentions and the best single position of any entity in the index (1), though its average listed position of 3.5 places it below Peec AI. Its AI Visibility Toolkit measures visibility across ChatGPT, Gemini, Google AI Overviews, Google AI Mode, and Perplexity ^[36]. Brand Performance reports include share of voice, sentiment, and competitor comparison, while Competitor Research compares up to four competitors using mentions, citations, and topic coverage ^[38]. Prompt Research searches a documented database of more than 317 million prompts and responses across four principal AI-search environments, with regional databases ^[39].

Why it ranked here. Semrush was named by four platforms (anthropic, deepseek, grok, openai) at an average listed position of 3.5 and a best position of 1. It ties Peec AI on mentions but has a slightly worse average position.

Best suited for. Marketing and SEO teams benchmarking brand and competitor visibility across ChatGPT, Gemini, Google AI Overviews, Google AI Mode, and Perplexity. Companies that want AI-search intelligence integrated with traditional SEO, site auditing, content optimization, and reporting workflows. Mid-market organizations and agencies needing prompt research, competitor comparisons, citation analysis, and historical directional trends.

Main strengths for this use case. Broad documented coverage of major generative-answer and AI-search platforms. Direct metrics for mentions, citations, share of voice, sentiment, competitor visibility, topic coverage, and AI Visibility Score. Large prompt database and regional coverage claims support broad market benchmarking. Combines intelligence with SEO, technical AI-readiness auditing, content optimization, and stakeholder reporting. Enterprise option is available for unlimited tracking and custom integrations.

Main limitations. The core dataset and scoring methodology are proprietary and vendor-controlled. Some reports use synthetic prompts or modeled estimates rather than a census of all user conversations. The AI Visibility Score is directional and should not be interpreted as actual recommendation probability or market share ^[39]. Base-tier prompt tracking and domain limits may be restrictive for multi-brand or large research programs. Public documentation does not establish complete coverage of all AI assistants, recommendation engines, personalization states, or non-US contexts. Public enterprise pricing, retention periods, data-export rights, API availability, and service-level commitments are unclear.

Pricing or cost summary. The AI Visibility Toolkit is publicly listed at $99 per month per domain when billed annually ^[36]. Semrush One, combining SEO and AI Visibility toolkits, is listed at approximately $199 to $199.95 per month depending on the page ^[41]. One platform reported Semrush One Starter at $199/month with 50 prompts, Pro+ at $299/month with 100 prompts, and Advanced at $549/month with 200 prompts ^[42]. Additional users are listed from $45/month, and reporting add-ons at $10/month for Base Report and $20/month for Pro Report ^[43]. Enterprise AIO pricing is custom. The toolkit has no free trial according to the AI Visibility Toolkit documentation ^[36]. Pricing confidence is moderate to high.

Where platforms disagreed. Fit ratings ranged from good (deepseek, google, openai, perplexity) to mixed (anthropic, grok, kimi).

5. AthenaHQ

Questions This Section Answers

• Is AthenaHQ worth it for AI market intelligence, and what are its main drawbacks?
• How do AthenaHQ credits work, and what happens if a buyer exceeds the 3,600-credit Starter allowance?
• Are the Athena Citation Engine and Recommendation Engine available on self-serve plans or Enterprise only?

AthenaHQ ranked fifth with two platform mentions but a strong best position of 3. It states that it monitors AI search and generative-answer systems including ChatGPT, Perplexity, Gemini, Claude, Copilot, and Grok, with the exact engine list and entitlements varying by plan ^[44]. It reports brand visibility, recommendation rate, mentions, share of voice, sentiment, and competitor benchmarks for monitored prompts ^[44]. Citation tracking and citation-source analysis identify which websites and sources AI platforms use for brand-relevant answers ^[45]. AthenaHQ Content and its Action Center are positioned to identify content gaps and recommend on-page and off-page actions intended to improve AI citations and visibility ^[46].

Why it ranked here. AthenaHQ was named by two platforms (google, openai) at an average listed position of 5.0 and a best position of 3. Its best position is stronger than Scrunch's or Ahrefs', but its mention count and average position place it fifth.

Best suited for. Marketing and growth teams monitoring whether AI platforms recommend or cite their company and competitors. Companies needing prompt-level visibility, citation-source analysis, competitor benchmarking, and content recommendations. Organizations seeking an action layer that converts AI visibility data into content or on-page/off-site optimization tasks.

Main strengths for this use case. Broad stated coverage of major generative-answer and AI-search platforms. Direct visibility into competitor mentions, citations, sources, and share-of-voice-style metrics. Action-oriented recommendations rather than reporting alone. Integrations and reporting that may connect AI visibility with web analytics and content operations. Regional segmentation is reported as a differentiator by users ^[47].

Main limitations. Recommendation share and share of voice are vendor-defined measurements whose methodology, sampling, weighting, and reproducibility require validation. Public materials do not fully document historical retention, model-change normalization, API limits, exports, or enterprise governance. Credit-based usage can make high-frequency, multi-engine monitoring expensive and difficult to forecast. G2 users report limitations involving consolidated multi-brand management, local business schema or map-pack visibility, credit complexity, and occasional glitches ^[47]. One platform noted that AthenaHQ lacks classification between factual and hallucinated statements and provides no breakdown of source quality, with advanced citation architecture analysis restricted to Enterprise ^[48].

Pricing or cost summary. Public independent pricing checks report a one-time 300-credit Essential/free allocation, a Starter plan at approximately $295 per month with 3,600 credits and ten models, annual-discount language, paid add-ons for API or additional credits, and custom Enterprise pricing ^[49]. The official pricing page shows Essential free with $25 free credit and 300 credits, and Starter at $295/month with $300/month free credit and 3,600 credits, with API access and extra credits as optional paid add-ons [e5:official:C2]. One platform reported a discounted first month at $95 renewing at $295/month, Growth at $545/month with 10,000 credits, and Enterprise at $2,000–$5,000+/month ^[50]. Extra credits are reported at $100 per 1,250-credit block ^[52]. Pricing confidence is moderate. .

6. Scrunch

Questions This Section Answers

• Is Scrunch worth it for AI market intelligence, and what are its main drawbacks?
• Which Scrunch plan covers nine AI platforms including Claude and Gemini, and what does Enterprise cost?
• Is the Scrunch Agent Experience Platform generally available, or still in limited pilot?

Scrunch ranked sixth with two platform mentions and a best position of 2. Its Core brand plan covers ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot, while Enterprise expands coverage to nine platforms including Claude, Gemini, Google AI Mode, Grok, and Meta AI ^[53]. Its Citations dashboard reports citation share by owner, including the buyer's brand, competitors, and third parties, and identifies top cited domains ^[55]. What one platform described as setting Scrunch apart from a pure answer-tracker is that it looks at both sides of the citation: where a brand appears in AI responses, and which bots visited the site, which pages they read, and how often, connecting crawl activity to referral traffic ^[56].

Why it ranked here. Scrunch was named by two platforms (anthropic, openai) at an average listed position of 5.5 and a best position of 2. Its best position is strong, but its average position is the second-worst in the index.

Best suited for. Mid-market marketing and SEO teams monitoring brand and competitor visibility across major AI answer platforms. Enterprise teams requiring multiple brands, custom prompt volumes, broader model coverage, SSO, API access, and integrations. Teams that need citation-share, cited-domain, page-level, and technical audit analysis.

Main strengths for this use case. Direct coverage of recommendation visibility, citation share, cited sources, competitors, and platform comparisons. Enterprise support for broader model coverage, custom scale, SSO, API access, integrations, and dedicated support. Page-level and technical audit capabilities can connect market-intelligence findings to remediation actions. Dual-sided citation intelligence links AI responses to crawler activity and referral traffic.

Main limitations. Public pricing and plan names are inconsistent across Scrunch-owned pages. Public documentation does not adequately specify historical retention, sampling methodology, model-version handling, or the calculation of recommendation share. Core or self-serve coverage is limited to four AI platforms; broader coverage is Enterprise-only under the cited pricing materials. Independent evidence is mainly review-platform and practitioner material; rigorous third-party validation of accuracy and market benchmarks is limited. One platform reported that Scrunch does not expose prompt-volume data, so buyers cannot easily tell which queries are worth the effort, and that auto-generated prompts lean too branded ^[58]. Another reported that the Agent Experience Platform remains in limited pilot and is more of a future promise than a current, accessible feature ^[59].

Pricing or cost summary. Public Scrunch materials conflict by product or pricing-page version. One official FAQ lists Core at $250 per month and Enterprise as custom ^[53]. Another official product FAQ lists Explorer at $83 per month billed annually, Growth at $417 per month billed annually, and Enterprise as custom ^[60]. One platform reported Growth at $417/month billed annually or $500 month-to-month ^[61]. Agency Core is reported at $500/month with Agency Enterprise custom ^[62]. Additional user seats are reported at $25/month each ^[63]. A seven-day free trial is publicly stated for a self-serve plan ^[64]. Pricing confidence is low to moderate. .

7. Ahrefs

Questions This Section Answers

• Is Ahrefs Brand Radar worth it for AI market intelligence, and what are its main drawbacks?
• Which AI platforms does Ahrefs Brand Radar cover, and does it track Claude and Meta AI?
• How much does Ahrefs Brand Radar cost on top of an Ahrefs SEO subscription?

Ahrefs ranked seventh with two platform mentions and a best position of 6. Its Brand Radar AI Visibility Index covers AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini, and Copilot, with Custom Prompts additionally supporting Claude; Grok data collection is described as temporarily unavailable because of policy changes ^[65]. It reports brand mentions, AI visibility, competitive benchmarking, AI Share of Voice, impressions, citations, cited pages, and cited domains ^[65]. The AI Visibility Index uses search-backed prompts derived from Ahrefs' keyword database, semantic expansion, and related-question data ^[67]. Ahrefs states that the AI Visibility Index provides historical responses dating back to 2025 and uses a 90-day reporting window with monthly re-testing of question sets ^[66].

Why it ranked here. Ahrefs was named by two platforms (deepseek, openai) at an average listed position of 6.5 and a best position of 6 — the weakest average and best positions in the index.

Best suited for. SEO, AEO, and marketing teams measuring AI share of voice across major generative-answer platforms. Companies wanting to connect AI visibility with search demand, cited pages, web visibility, YouTube, Reddit, and other discoverability signals. Teams researching competitors, influential sources, prompt topics, and changes in AI recommendations over time.

Main strengths for this use case. Broad coverage of major public AI-answer surfaces with both index-based discovery and configurable custom prompts. Direct competitor comparison and AI Share of Voice-style reporting. Search-backed prompt construction and links to cited pages, domains, topics, and search demand help connect AI recommendations to content and market opportunities. Historical response access and recurring prompt checks support trend monitoring. API, MCP, Report Builder, and Looker Studio capabilities can support internal reporting workflows.

Main limitations. Coverage is based substantially on Ahrefs' search-demand database and may underrepresent new, niche, low-volume, or non-search-driven buyer questions. Results are captured without user history or personalization, so they may differ from logged-in or individualized AI answers ^[66]. Custom prompts require ongoing checks and have finite quotas; large-scale monitoring can create overage costs. Public documentation does not demonstrate independent auditing of recommendation share, citation share, or AI-platform sampling methodology. Platform coverage and prompt-count descriptions vary across Ahrefs pages and may change as products evolve. One platform reported that Brand Radar lacks sentiment analysis and actionable optimization direction ^[68].

Pricing or cost summary. Brand Radar AI is publicly listed as starting at $199 per month for a single platform and $699 per month for all platforms, with the all-platform option including 2,500 custom-prompt checks per month ^[69]. Ahrefs paid plans shown publicly include Lite at $129/month, Standard at $249/month, Advanced at $449/month, and Enterprise at $1,499/month ^[69]. Custom Prompt packages are listed at Basic $50/month for 2,500 checks, Growth $100/month for 7,000 checks, and Scale $250/month for 25,000 checks, with overage rates of $0.020, $0.015, and $0.010 per check respectively ^[69].

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What does this 7-platform study reveal about how AI systems rank AI market intelligence platforms?
• Which AI market intelligence platforms are named most consistently across AI platforms, and which are named only occasionally?

Three structural patterns emerge from this index. First, the market is concentrated at the top: Profound and OtterlyAI together account for the two highest mention counts (6 and 5), while the remaining five entities each appeared on only two to four platforms. Second, the category is not settled. Every entity in this index carries at least one material unresolved question — pricing opacity, engine coverage by tier, methodology transparency, or identity verification — and no entity received a unanimous fit rating across all seven platforms. Third, the platforms disagree about what the category even is. Some platforms evaluated these tools as AI-search visibility monitors, others as citation-intelligence systems, and others as general market-intelligence platforms, which produced fit ratings ranging from strong to weak for the same entity.

A second pattern is that pricing transparency does not track with ranking. Profound, the leader, has low pricing confidence and an unresolved domain identity. OtterlyAI, ranked second, has the most transparent published pricing in the index. Ahrefs, ranked last, has moderate pricing confidence but the weakest average position. Buyers should therefore treat rank as a signal of platform consensus about relevance, not as a proxy for procurement clarity.

A third pattern is that engine coverage is the most common gating mechanism. Profound, OtterlyAI, Peec AI, Semrush, and Scrunch all restrict broader model coverage to higher or custom-priced tiers, and Ahrefs restricts full-platform coverage to its all-platform bundle.

Where the AI Platforms Agreed

Questions This Section Answers

• On which AI market intelligence platforms do AI systems agree most strongly?
• Which capabilities do AI platforms consistently attribute to Profound and OtterlyAI?

The platforms agreed most strongly on Profound's relevance. Six of seven named it, five rated its fit as strong or good, and multiple platforms independently described the same core capabilities: citation-share benchmarking, source-category classification, competitor citation gaps, and cross-engine monitoring ^[72]. No platform disputed that Profound is a leading answer-engine visibility platform; the disagreement was about scope, not relevance.

The platforms also agreed on OtterlyAI's core value proposition. Multiple platforms independently described daily prompt tracking, citation tracking at the URL level, share-of-voice metrics, and a GEO audit capability ^[75]. They also agreed that OtterlyAI's base plans include four core engines and that Claude, Gemini, and Google AI Mode require paid add-ons ^[78].

A third area of agreement is that all of these tools measure observed AI answers for configured prompts rather than a census of all user conversations. Profound, OtterlyAI, Peec AI, Semrush, Scrunch, and Ahrefs all describe prompt-based or index-based sampling, and multiple platforms explicitly cautioned that these metrics should not be treated as independently audited market share ^[80].

Where the AI Platforms Disagreed

Questions This Section Answers

• Why did AI platforms give the same AI market intelligence platform different fit ratings?
• Which AI market intelligence platforms had unresolved identity or pricing conflicts across platforms?

The deepest disagreement concerns scope. One platform described Profound as a strong fit for cross-platform AI visibility intelligence, while another described it as a weak fit for market intelligence use cases requiring which companies AI systems recommend across an industry, calling that a core gap ^[84]. This is not a factual contradiction about Profound's features; it is a disagreement about whether brand-level citation tracking satisfies an industry-level recommendation-intelligence need.

A second disagreement concerns research coverage. Two platforms reported that they found no verifiable information about OtterlyAI at all ^[85], and two reported the same for Peec AI ^[86], while one reported the same for AthenaHQ ^[88] and one for Scrunch ^[89]. These are coverage gaps in the underlying research passes, not negative findings about the products, and they should not be read as evidence of poor quality.

A third disagreement concerns pricing and packaging. Profound's Enterprise pricing is undisclosed and third-party estimates range from $2,000 to $5,000+ per month ^[90]. Peec AI's Enterprise model count conflicts between 11 and 13 ^[91]. Semrush One is listed at both $199 and $199.95 per month ^[92]. Scrunch's plan names and prices changed repeatedly through 2026 ^[93]. Ahrefs' Brand Radar is listed at $199–$699 per month on some pages and "from $50/month" on another ^[94].

How Buyers Should Choose

Questions This Section Answers

• What should a buyer check before choosing an AI market intelligence platform for tracking AI recommendations?
• Which AI market intelligence platform should a buyer choose if transparent published pricing is a hard requirement?

Start with the decision the platform must support. If the buyer needs to know which companies AI systems recommend across an industry, the evidence in this index suggests that most of these tools track citations and mentions for a configured brand and competitor set rather than industry-wide recommendation patterns. Profound, OtterlyAI, Peec AI, Semrush, AthenaHQ, Scrunch, and Ahrefs all operate on buyer-configured or index-derived prompts. Buyers whose primary need is industry-wide recommendation discovery should verify that capability explicitly before contracting.

Second, map engine coverage to budget. Profound, OtterlyAI, Peec AI, Semrush, and Scrunch all gate broader model coverage behind higher or custom tiers. If the buyer's use case requires Claude, Gemini, Grok, or Meta AI, the headline plan price will understate total cost. OtterlyAI publishes its add-on pricing clearly ^[95]; Profound, Peec AI, Semrush, and Scrunch do not publish equivalent detail for all tiers.

Third, decide whether monitoring alone is sufficient. Peec AI, Scrunch, and Ahrefs are described as diagnostic or monitoring-focused, with execution left to the buyer's team ^[96]. Profound and AthenaHQ both offer downstream content or action workflows ^[99]. Buyers without in-house AEO execution capacity should weight this difference heavily.

Fourth, verify pricing, contract terms, and data retention in writing. Every entity in this index has at least one unresolved pricing or contract question.

Methodology

This study used one standardized prompt sent once to each of seven included AI platforms: openai, anthropic, deepseek, grok, perplexity, kimi, and google. The prompt asked which AI market intelligence platforms would be recommended overall for a company that wants to understand the AI recommendation landscape in its industry, including data on which companies AI systems recommend, recommendation share, citation share, competitor performance, influential sources, citation architecture, platform differences, and historical market changes.

The research date is 2026-09-18. Entities qualified for the final index if they were named by at least two platforms during ranking discovery. The final ranking order is determined by platform mentions, then average listed rank, then best listed rank, and is reproduced here without recalculation.

Platform mentions count only ranking-discovery mentions. All seven included platforms later completed a fit assessment, but that is not the same as naming an entity during ranking discovery. Fit assessments, pricing details, feature descriptions, strengths, limitations, and disagreements were drawn from the entity evidence bundles, which are platform-reported evidence rather than independently verified facts.

Citations are platform-reported evidence. Company-owned sources and independent sources are distinguished where the evidence bundles provide that information. Where a claim rests only on a vendor's own materials, it is described as platform-reported or vendor-reported rather than independently verified.

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 prompt sent once is a snapshot, not a controlled benchmark.

Platform-reported research dates differ from the authoritative run date for some platforms. Deepseek reported 2026-06-12 for Profound, 2026-09-18 for OtterlyAI, 2026-06-11 for Peec AI, 2026-06-11 for Semrush, 2026-01-15 for AthenaHQ, 2026-06-11 for Scrunch, and 2026-02-14 for Ahrefs. These are provenance metadata and do not independently prove freshness.

Official-site retrieval failed for several entities during normalization. Profound's official site timed out, Peec AI's page exceeded the size limit, Ahrefs' page exceeded the size limit, and Scrunch's retrieval returned inconsistent content. Identity for Profound and Peec AI was resolved through exact-name fallback, and the matching reported domains remain unverified.

The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts.

Company-owned citations materially outnumber independent citations for some entities, particularly OtterlyAI and Ahrefs. Company claims should not be described as independently verified.

Platform recommendations are market intelligence, not independent customer reviews or proof of quality. A high rank in this index means multiple AI platforms named the entity in response to one prompt; it does not mean the entity has been independently benchmarked against competitors.

Final Verdict

Profound is the consensus leader for AI market intelligence platforms in this 7-platform study, named by 6 of 7 platforms at the best average listed position in the index. It is the strongest fit for enterprise teams that need citation-share benchmarking, source-category analysis, and cross-engine visibility, provided they verify pricing, engine coverage by tier, historical retention, and the unresolved domain identity before contracting.

OtterlyAI is the strongest lower-cost alternative and the most transparent on published pricing, making it the best fit for agencies and multi-brand teams that need daily monitoring, citation tracking, and GEO audits without an enterprise contract. Peec AI is the best fit for teams that want daily monitoring with unlimited seats and no per-region surcharge, but it is monitoring-only and lacks traffic attribution. Semrush is the best fit for buyers who want AI visibility inside an existing SEO workflow. AthenaHQ is the best fit for teams that want an action layer converting visibility data into content tasks, subject to credit-cost verification. Scrunch is the best fit for multi-brand enterprise monitoring with SSO, API, and technical audits, subject to post-acquisition roadmap verification. Ahrefs is the best fit for SEO-led teams that want search-backed prompt scale and citation data, but it ranked last on both average and best position and carries the weakest fit ratings in the index.

No entity in this index should be treated as a fully validated market-share measurement system. Buyers should run a controlled proof of concept with their own prompts, competitors, geography, and target engines before committing.