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AI Consensus Fit Review

Profound AI Visibility Platform Fit Review for Competitor Citation Analysis

Profound is a strong fit for enterprise buyers whose central requirement is competitor citation analysis across AI answer engines, according to the majority of platforms that evaluated it.

Research: 2026-09-197 usable platform responsesRead the methodology ↗

Answer Capsule

Profound is a strong fit for enterprise buyers whose central requirement is competitor citation analysis across AI answer engines, according to the majority of platforms that evaluated it. All seven platforms named Profound during the ranking stage, and it finished first overall with an average listed rank of 2.57 and a best rank of 1. The strongest reason to consider it is its Answer Engine Insights product, which is explicitly positioned to expose cited URLs, competitor citation share, source categories, and publisher influence. The main limitation is commercial and operational: pricing, exact engine coverage, plan limits, and enterprise terms are inconsistently documented and require verification through a sales process.

Research Snapshot

FieldFinding
Platform mentions in ranking stage7 of 7 included platforms (anthropic, deepseek, google, grok, kimi, openai, perplexity)
Share of included platform responses100%
Average listed rank2.57
Best listed rank1
Relevant product/model/planAnswer Engine Insights; Growth and Enterprise plans most relevant for multi-engine competitor citation analysis
Overall use-case fitStrong (openai), Good (anthropic, google, grok, perplexity), Mixed (deepseek), Uncertain (kimi)
Research date2026-09-19

Why Profound Qualified for This Study

Questions This Section Answers

  • Is Profound a good choice for AI Visibility Platforms for Competitor Citation Analysis?
  • How many AI platforms named Profound during the ranking stage for competitor citation analysis?

Profound qualified because every included platform named it during ranking discovery, and it finished first overall. The ranking statistics show seven platform mentions across seven included platforms, a 100% platform share, an average listed rank of 2.57, and a best rank of 1 (research snapshot). Ranks by platform were: deepseek 1, google 1, openai 1, perplexity 1, grok 2, anthropic 3, and kimi 9.

The qualification is not the same as verified product quality. Platform mentions reflect how often AI systems surfaced Profound when asked to recommend AI Visibility Platforms for Competitor Citation Analysis. The deterministic identity audit notes that company-name variants were collapsed onto one canonical brand before minimum-mentions qualification, and that official-site retrieval failed for one or more mentions (normalization notes). One retrieved official page at the supplied profound.com URL returned content describing MarketResearch.com, a market intelligence database, rather than an AI visibility product (official:C1). That page is labeled retrieved-not-verified, and the relationship between that domain and the tryprofound.com product pages should be confirmed with the vendor.

Fit ratings diverged by platform: openai rated Profound a strong fit, anthropic, google, grok, and perplexity rated it good, deepseek rated it mixed, and kimi rated it uncertain (fit ratings by platform). The disagreement is concentrated in verification quality rather than the core use case.

The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms for Competitor Citation Analysis

Questions This Section Answers

  • Which Profound product or plan is most relevant for competitor citation analysis across AI answer engines?
  • Does Profound's Answer Engine Insights show which competitor domains and pages are cited in AI answers?

Answer Engine Insights is the Profound product most directly relevant to competitor citation analysis. Profound states that Answer Engine Insights displays cited URLs for monitored prompts, including competitor domains, and allows cited sources to be classified and filtered as Competitor [1]. The same product page describes citation-share analysis, source categories, publisher and author analysis, watched pages, supported answer engines, and CSV or JSON export [1]. Profound also states that every cited source receives a category: Owned, Competitor, Earned Media, PR Wire, Social, or Institution [2].

On plan structure, platforms named different tiers. Anthropic identified the Growth Plan and Enterprise Plan as the relevant commercial tiers [4]. OpenAI described Answer Engine Insights with enterprise access as most relevant for multi-brand and competitor citation analysis [1]. Deepseek referenced a Brand Starter tier plus Growth and Enterprise plans with sales-led enterprise access [6]. Grok named Answer Engine Insights, Profound Enterprise, and the Growth or Enterprise Plan [7]. Perplexity named Answer Engine Insights, the Growth plan, the Enterprise plan, and Citation Analysis / Citation Share [8]. Kimi named Answer Engine Insights, a Brand Starter plan, and an Enterprise Plan [9].

These plan names are not consistent across platforms, and the deterministic audit flags that no source identifies which plan corresponds to actual purchasable product tiers (kimi factual conflicts). Buyers should treat plan naming as unverified until confirmed directly.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree that Profound does well for competitor citation analysis?
  • Does Profound classify cited sources and identify which publishers influence AI recommendations?

Agreement was strongest on citation-level granularity and source classification. Profound states that Answer Engine Insights tracks which specific URLs on any domain are cited in AI-generated responses, not just domain-level mentions [10]. Independent review coverage describes page-level citation tracking as enabling citation gap analysis at the content-asset level, showing which pages are never cited, repeatedly cited, or replaced by competitor pages [11].

Multiple platforms converged on source classification and authority analysis. Profound identifies the top-cited publishers and authors driving AI citations in a category [12], and classifies every cited source into Owned, Competitor, Earned Media, PR Wire, Social, or Institution categories [13]. Google's evaluation described this as robust automated categorization of cited sources that helps brands understand authority gaps [14].

Platforms also agreed on competitor benchmarking mechanics. Profound states that Citation Categories allow benchmarking citation share against specific competitors by platform, topic, or prompt [15], and that competitive benchmarking shows which competitors appear in the same AI responses and how citation share compares [16]. Perplexity's evaluation confirmed that Answer Engine Insights advertises a Citation Share chart and a rankings table comparing the buyer's citation share to competitors [17].

Data portability drew agreement as well. Profound states that citation data can be exported as CSV or JSON and connected to Profound Agents [18]. Independent coverage describes Agent Analytics as tracking AI crawler behavior and how content assets perform for AI indexing [19].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Do AI platforms disagree about whether Profound is a verified AI visibility platform for competitor citation analysis?
  • What is unverified about Profound's pricing, engine coverage, and citation methodology?

The sharpest disagreement was about verification quality, not capability. Kimi rated Profound uncertain, stating that no source it visited independently documents Profound operating as an AI visibility platform, that the official website appeared focused on market research, and that the only evidence placing Profound in the category was a competitor comparison table [20]. The retrieved official page at the supplied profound.com URL returned MarketResearch.com content, which is consistent with that concern (official:C1). By contrast, openai, anthropic, google, grok, and perplexity all cited tryprofound.com product pages directly and rated fit good or strong.

Pricing was the second major uncertainty. OpenAI reported low pricing confidence, stating that no current official price was verified for Answer Engine Insights and that the reviewed product page directs buyers to request a demo [21]. Deepseek reported that public pricing was not verifiable from the sources it checked [22]. Grok reported that enterprise access appears sales-led with exact pricing not publicly verified [23]. Perplexity reported moderate confidence, citing third-party reviews for Starter at $99/month and Growth at $399/month, both commonly described as billed yearly with two months free, with Enterprise custom [24]. Anthropic reported high confidence in the same $99 and $399 figures plus Enterprise at $2,000–$5,000+/month [26]. Google reported that in mid-September 2026 Profound removed the $99 Starter and $399 Growth self-serve plans and moved to a free trial plus custom Enterprise quotes, with enterprise historically starting around $1,000/month [27]. These accounts conflict directly and cannot be reconciled from the supplied evidence.

Engine coverage also varied. Anthropic reported that the Growth plan covers three answer engines and Enterprise reaches up to 11 platforms including ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, Copilot, Grok, Meta AI, DeepSeek, and Amazon Rufus [29]. Anthropic separately reported that Starter tracks ChatGPT only, Growth adds Perplexity and Google AI Overviews, and Claude tracking plus the full engine set requires custom-priced Enterprise [26]. Google reported that wider model tracking including Claude and Gemini is locked behind custom-priced Enterprise contracts [30]. OpenAI reported that the complete current engine list, regional availability, model versions, and sampling methodology are not fully specified on the reviewed page [21].

Measurement reliability drew a distinct caution. Independent research on AI-visibility measurement warns that stochastic answer behavior makes citation-share and visibility estimates uncertain and potentially unstable [32]. Anthropic's evaluation documented that AI engines decompose configured prompts into 8 to 12 parallel sub-queries internally, and that Profound tracks the surface-level prompt result but not the sub-query branches, meaning competitors cited on fan-out queries may go undetected [33]. Anthropic also noted that competitive benchmarking only reflects the prompts the buyer has defined, so competitors cited on untracked queries remain invisible [35].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Which Profound features directly support competitor citation architecture comparison and authority-gap discovery?
  • Does Profound support exports, watched pages, and crawler-level analysis for competitor citation workflows?

Profound's stated capabilities map closely to the four criteria in this use case. For identifying which domains and pages are cited for each brand, Profound states that Answer Engine Insights displays cited URLs for monitored prompts including competitor domains, and that it tracks which specific URLs on any domain are cited rather than only domain-level mentions [36]. For identifying which sources appear to influence recommendations, Profound identifies top-cited publishers and authors and classifies sources into Owned, Competitor, Earned Media, PR Wire, Social, or Institution categories [38].

For comparing competitor citation architecture against the buyer's own, Profound reports citation share by platform, topic, and prompt, and allows citation categories to benchmark share against specific competitors [36]. Google's evaluation described citation gap analysis that maps share of voice against competitors across AI platforms [41]. For locating source or authority gaps, Profound identifies third-party sources that carry citation influence in a category, which is relevant to earned-media opportunity discovery [36].

Operationally, Profound states that citation data can be exported as CSV or JSON and connected to Profound Agents [36]. Agent Analytics tracks AI crawler behavior and how content assets perform for AI indexing, revealing technical barriers to content extraction [42]. Anthropic reported that Agent Analytics requires CDN integration and that the feature does not run if hosting infrastructure cannot be connected [43].

Two capability limits are documented. Profound is described as a monitoring platform that identifies citation gaps and competitor sources but does not push fixes to a CMS or execute technical SEO changes [44]. Anthropic also reported that Profound does not support multi-account management, with one workspace per account [46]. Google reported that the platform lacks native GA4 integration for tracking LLM referral traffic and conversions inside the dashboard [47].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Profound cost per month for competitor citation analysis, and are there setup or cancellation fees?
  • Is Profound's pricing annual-only, and what contract terms should a buyer confirm before signing?

Pricing is the least settled part of this evaluation, and the supplied platforms conflict. Anthropic reported high pricing confidence with Starter at $99/month, Growth at $399/month billed annually at roughly $332.50/month, and Enterprise custom typically $2,000–$5,000+/month, with annual billing standard and two months free on annual prepay [48]. Perplexity reported moderate confidence in the same $99 and $399 figures, commonly billed yearly with two months free, and Enterprise custom [49]. Google reported that in mid-September 2026 Profound removed the $99 and $399 self-serve tiers, transitioning to a free trial and enterprise custom quotes, with enterprise historically starting around $1,000/month [51].

OpenAI reported low pricing confidence, stating that no current official price was verified for Answer Engine Insights on the reviewed product page and that the page directs buyers to request a demo [53]. Deepseek reported that public pricing was not verifiable from the sources it checked [54]. Grok reported that enterprise access appears sales-led with exact pricing not publicly verified [55]. Kimi reported that no pricing information was found for any Profound plan and that the Brand Starter, Enterprise, and Growth plan names could not be verified [56].

On additional fees, Anthropic reported that Agent execution credits are consumed per run and that additional credit thresholds require Enterprise engagement, with agency plans at $99/month plus per-client workspace costs of $399/month per full workspace and $199/month for trial workspaces [48]. OpenAI reported that API, exports, additional users, custom reporting, premium support, or expanded engine and prompt coverage may be separately priced, but that this was not verified from public official pricing [53]. Perplexity reported that possible add-ons for agency or client workspaces, extra seats, expanded engine coverage, or enterprise services are mentioned by some sources but not consistently verified [49].

On contract terms, Anthropic reported that annual billing commitment is standard, that Growth and Starter are self-serve, that Enterprise requires a sales contract, and that no monthly billing option is published [48]. OpenAI reported that minimum term, renewal, cancellation, refund, data-retention, and termination-assistance terms were not verified and that buyers should obtain the order form and service terms before purchase [53]. Perplexity reported that annual billing with two months free is reported for self-serve plans but that enterprise terms, cancellation, minimum commitments, and implementation fees are unclear [49]. Google reported that enterprise plans typically involve annual commitments negotiated directly through sales [51].

Because these accounts conflict, buyers should treat all figures as platform-reported and unverified. The consensus index for this category, AI Visibility Platforms for Competitor Citation Analysis, tracks how other platforms in the same ai visibility llm monitoring category were evaluated on the same criteria.

Best Suited For

Questions This Section Answers

  • Who is Profound best suited for when the goal is competitor citation analysis across multiple AI engines?
  • Is Profound worth it for enterprise teams that need page-level competitor citation intelligence?

Profound is best suited to large companies tracking many brands, competitors, prompts, markets, and AI answer engines (openai fit assessment). Anthropic described the best-fit buyer as enterprises treating AI search as a board-level priority with dedicated AEO ownership and budgets of $2,000+/month, plus mid-market SaaS, financial services, and retail brands needing competitor citation benchmarking across ChatGPT, Perplexity, Google AI Overviews, and Claude (anthropic fit assessment).

The second fit group is SEO, AEO, content, PR, and communications teams needing page- and source-level competitor citation intelligence (openai fit assessment). Google described the best-fit buyer as enterprise brands needing comprehensive AI search citation tracking, deep competitor share-of-voice and citation gap analysis, and understanding of real-time prompt volume demand across LLMs (google fit assessment).

The third fit group is buyers needing historical monitoring, exports, workflow integration, and enterprise governance (openai fit assessment). Anthropic noted that enterprise security posture including SOC 2 Type II compliance, SSO, RBAC, and dedicated support is available on the Enterprise tier, meeting procurement requirements for large organizations (anthropic strengths). Anthropic also reported an established enterprise customer base and significant funding, which it framed as reducing vendor risk (anthropic strengths). That funding and customer claim is platform-reported and not independently verified in the supplied evidence.

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Profound for competitor citation analysis?
  • Is Profound a poor fit for small teams that need low-cost, self-serve citation monitoring?

Profound is probably not best suited to small teams needing a low-cost, transparent, self-serve citation-monitoring tool (openai fit assessment). OpenAI also listed buyers requiring confirmed public pricing before contacting sales and teams seeking primarily content generation or execution rather than measurement and competitive intelligence (openai fit assessment).

Anthropic listed solo operators, early-stage startups, and small teams with AEO budgets under roughly $2,000/month, teams seeking integrated content remediation or CMS publishing workflows alongside citation monitoring, companies needing multi-workspace or multi-account management within a single subscription, and organizations prioritizing citation tracking without intent to invest in prompt strategy and content optimization (anthropic fit assessment). The multi-workspace limitation is corroborated by independent review coverage stating that Profound does not support multi-account management and provides one workspace per account [57].

Google listed solo marketers or small teams requiring low-cost self-serve monthly plans, teams demanding real-time traffic or direct GA4 conversion tracking within the dashboard, and agencies requiring multi-client workspace flexibility on a budget (google fit assessment). Deepseek listed buyers needing published self-serve pricing and instant sign-up with no sales cycle, teams whose citation analysis needs are already covered by incumbent SEO suites, and small brands unwilling to commit to subscription tiers before verifying competitor citation depth (deepseek fit assessment).

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Profound for a buyer who needs transparent self-serve pricing?
  • When should a buyer choose a lower-cost or integrated AI visibility tool instead of Profound?

A different option may be better in several documented situations. OpenAI suggested a lower-cost tool such as Otterly.AI when transparent published pricing and simpler self-service monitoring matter more than enterprise depth, a citation-monitoring plus content-generation product for SMB buyers at a lower entry price, or a broader SEO suite such as Semrush when AI visibility must integrate with established keyword, backlink, technical SEO, and reporting workflows (openai better alternative when).

Anthropic suggested integrated content remediation and publishing platforms when citation tracking must connect to content creation, optimization, and CMS publishing; multi-account structures when the organization requires multi-brand or multi-account management; automated action layers that convert citation gaps into executable content briefs when the team wants execution beyond monitoring; lower-entry-price tools for budgets under $2,000/month; single-engine specialized tools when analysis focuses on one engine; real-time AI bot crawl data when pre-citation consumption signals matter; existing SEO stacks when the organization is already embedded in Ahrefs, Semrush, or HubSpot; and multi-region competitive tracking when geographic or language segmentation is required (anthropic better alternative when).

Perplexity suggested alternatives when fully transparent public pricing, self-serve checkout, or a free or public tier with documented competitor-citation exports is required, when verified API access, SSO, or exact domain and page citation breakdowns are mandatory before signature, and when a small team only needs ChatGPT-only monitoring (perplexity better alternative when). Google suggested alternatives for small teams or agencies requiring self-serve multi-engine tracking starting under $100/month and for buyers requiring native GA4 traffic and conversion attribution inside the AI search analytics dashboard (google better alternative when). Deepseek suggested alternatives when published self-serve pricing and instant onboarding are needed, when basic share-of-voice tracking is already covered by incumbent SEO and AI tools, and when independently benchmarked citation-accuracy data is required before committing (deepseek better alternative when).

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Profound about engine coverage, exports, and citation methodology before signing?
  • What contract, data-retention, and cancellation terms should a buyer verify with Profound before purchase?

The supplied platforms converged on a verification checklist. On coverage, buyers should confirm which exact AI engines, models, regions, languages, and answer surfaces are included in the quoted plan, and whether Gemini and Claude tracking is fully included or requires a premium add-on tier (openai questions to verify, google questions to verify). Buyers should also confirm the complete current engine list, since the reviewed product page does not fully specify it [58].

On data granularity, buyers should confirm whether the platform can show every cited URL for each prompt including competitor URLs, with exportable raw response and citation data, and whether cited domains and pages can be exported per prompt, per brand, and per competitor (openai questions to verify, perplexity questions to verify). Buyers should ask how competitor domains, subdomains, publishers, forums, and syndicated copies are classified and deduplicated (openai questions to verify).

On methodology, buyers should ask how Profound handles stochastic variation, confidence intervals, missing citations, and model changes, and what the precise citation methodology is including citation share, ranking logic, recency weighting, and source authority signals (openai questions to verify, perplexity questions to verify). Buyers should also ask how the platform handles the internal sub-query decomposition that AI engines use, and whether any module detects competitor citations in parallel sub-query branches beyond the primary prompt response (anthropic questions to verify).

On limits and integrations, buyers should confirm prompt, brand, competitor, user, API, export, retention, and historical-data limits, whether watched pages, source categorization, CSV or JSON export, API access, SSO, audit logs, and role-based permissions are included or separately priced, and which hosting platforms and CDN providers are supported for Agent Analytics (openai questions to verify, anthropic questions to verify). Buyers should confirm whether multi-workspace or multi-account management is supported or whether separate subscriptions are required (anthropic questions to verify).

On commercial terms, buyers should obtain the minimum contract term, renewal, cancellation, refund, data ownership, and data-deletion terms, and confirm whether pricing is annual-only (openai questions to verify, perplexity questions to verify). Buyers should request a sample report or pilot using their own prompts and competitors before signing, and ask what independent evidence supports accuracy, coverage, and measurable customer outcomes for competitor citation analysis (openai questions to verify, deepseek questions to verify).

Final AI Consensus Verdict

Profound is a strong fit for enterprise-scale competitor citation analysis when the buyer needs cited-URL detail, citation-share benchmarking, source-authority analysis, and multi-engine monitoring. All seven included platforms named it during ranking, it finished first overall, and the majority rated fit good or strong. The product surface most relevant to this use case, Answer Engine Insights, is explicitly positioned around cited URLs, competitor classification, citation share, source categories, and publisher and author analysis.

The verdict should be downgraded to mixed if transparent pricing, verified engine coverage, reproducible measurement, or self-service deployment is mandatory. Pricing accounts conflict across platforms, engine coverage per tier is inconsistently documented, the official domain relationship is unresolved, and independent research warns that citation-share estimates are sensitive to stochastic answer variation. Buyers should treat every commercial and coverage claim as platform-reported until confirmed through a vendor-led demo or pilot.

How This Review Was Produced

This review was produced from a single research run dated 2026-09-19 covering seven included platforms: anthropic, deepseek, google, grok, kimi, openai, and perplexity. Each platform was asked which AI visibility platforms it would recommend for competitor citation analysis and why. Profound was named by all seven platforms during ranking discovery, with an average listed rank of 2.57 and a best rank of 1. Fit ratings, strengths, limitations, pricing findings, and verification questions were extracted from each platform's response and are reported as platform-reported evidence rather than independently verified facts. No personal testing, customer interviews, or independent benchmark runs were performed for this review.

Methodology Limitations

Several limitations apply. Platform-reported research dates differ from the authoritative run date: deepseek reported 2026-02-14 while the other six platforms reported 2026-09-19, so deepseek's findings may be older (platform date discrepancies). 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, and no-search model claims require explicit verification before being described as current facts.

Official-site retrieval failed for one or more mentions, and no failed fetch was used as a verified domain key (normalization notes). The retrieved official page at the supplied profound.com URL returned MarketResearch.com content and is labeled retrieved-not-verified (official:C1). Company-name variants were collapsed onto one canonical brand before minimum-mentions qualification, and multiple plausible Profound entities may exist, so brand disambiguation remains uncertain (normalization notes, kimi factual conflicts).

Conflicting product names, pricing, and capabilities were not resolved by guessing. Plan names, engine counts per tier, and price points differ across platforms and should be verified directly. Independent comparison and review sources may contain affiliate, vendor, or commercial incentives (openai factual conflicts). Citation-share results may not be directly comparable across vendors without matching prompt sets, run frequency, geography, model versions, and sampling rules (openai factual conflicts). Platform agreement on fit does not prove product quality.

Sources

Company-Owned Sources

  • Astiva AI Product: Detect, Diagnose, Displace, Prove AI Visibility: https://astiva.ai/product
  • Competition Tracking - CiteMetrix: https://citemetrix.com/docs/competition-tracking/
  • AI Visibility Tracker | Monitor Your Brand Across 10 AI Engines: https://getcited.marketing/products/ai-visibility-tracker
  • Competitor Intelligence — Why Rivals Get Cited: https://viali.ai/product/competitive-intelligence/
  • AI Citation Tracking for ChatGPT, Perplexity & Gemini - Choose Your AI Optimization Plan: https://www.citationradar.ai/
  • Cited | AI Search Optimization Platform: https://www.getcited.in/
  • Profound — AI Search Visibility Platform: https://www.profound.com/
  • Profound Pricing / Plans: https://www.profound.com/pricing
  • The Complete AEO Platform | Profound: https://www.tryprofound.com/
  • How to Track Your Brand Visibility in AI Search With Profound: https://www.tryprofound.com/blog/how-to-track-your-visibility-in-ai-search
  • Additional AI research evidence58 records
    1. AI research evidence record openai:c2
    2. AI research evidence record anthropic:cit_5_source_classification
    3. AI research evidence record google:1.2.3
    4. AI research evidence record anthropic:cit_9_platform_coverage
    5. AI research evidence record anthropic:cit_10_plan_tiers
    6. AI research evidence record deepseek:c2
    7. AI research evidence record grok:c4
    8. AI research evidence record perplexity:c13
    9. AI research evidence record kimi:citescore-2024
    10. AI research evidence record anthropic:cit_3_page_level_citation
    11. AI research evidence record anthropic:cit_4_citation_gap_analysis
    12. AI research evidence record anthropic:cit_6_authority_ranking
    13. AI research evidence record anthropic:cit_5_source_classification
    14. AI research evidence record google:1.2.3
    15. AI research evidence record anthropic:cit_2_citation_benchmarking
    16. AI research evidence record anthropic:cit_11_competitor_benchmarking
    17. AI research evidence record perplexity:c13
    18. AI research evidence record openai:c2
    19. AI research evidence record anthropic:cit_15_agent_analytics
    20. AI research evidence record kimi:citescore-2024
    21. AI research evidence record openai:c2
    22. AI research evidence record deepseek:c2
    23. AI research evidence record grok:c5
    24. AI research evidence record perplexity:c2
    25. AI research evidence record perplexity:c14
    26. AI research evidence record anthropic:cit_10_plan_tiers
    27. AI research evidence record google:1.3.8
    28. AI research evidence record google:1.3.6
    29. AI research evidence record anthropic:cit_9_platform_coverage
    30. AI research evidence record google:1.2.7
    31. AI research evidence record google:1.3.3
    32. AI research evidence record openai:c6
    33. AI research evidence record anthropic:cit_13_sub_query_limitation
    34. AI research evidence record anthropic:cit_14_branch_detection
    35. AI research evidence record anthropic:cit_12_prompt_limitation
    36. AI research evidence record openai:c2
    37. AI research evidence record anthropic:cit_3_page_level_citation
    38. AI research evidence record anthropic:cit_6_authority_ranking
    39. AI research evidence record anthropic:cit_5_source_classification
    40. AI research evidence record anthropic:cit_2_citation_benchmarking
    41. AI research evidence record google:1.2.6
    42. AI research evidence record anthropic:cit_15_agent_analytics
    43. AI research evidence record anthropic:cit_16_infrastructure_limitation
    44. AI research evidence record anthropic:cit_17_monitoring_only
    45. AI research evidence record anthropic:cit_18_remediation_gap
    46. AI research evidence record anthropic:cit_19_multi_workspace
    47. AI research evidence record google:1.3.9
    48. AI research evidence record anthropic:cit_10_plan_tiers
    49. AI research evidence record perplexity:c2
    50. AI research evidence record perplexity:c14
    51. AI research evidence record google:1.3.8
    52. AI research evidence record google:1.3.6
    53. AI research evidence record openai:c2
    54. AI research evidence record deepseek:c2
    55. AI research evidence record grok:c5
    56. AI research evidence record kimi:citescore-2024
    57. AI research evidence record anthropic:cit_19_multi_workspace
    58. AI research evidence record openai:c2

Independent Sources

  • Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search Measurement: https://arxiv.org/abs/2603.08924
  • Profound Review: Pricing & Fit: https://bevisible.app/software/profound
  • Profound Evaluation and Pricing Comparison with Top AEO Tool Alternatives: https://cairrot.com
  • Details, Reviews, Pricing, & Features | CheckThat: https://checkthat.ai/brands/tryprofound
  • AI Visibility Platform Comparisons: https://cite.solutions/compare
  • How CiteScore compares to AI visibility tools and SEO suites: https://citescore.ai/
  • Profound AI Visibility Tool: Deep Dive Review for B2B SaaS Teams | Discovered Labs: https://discoveredlabs.com/blog/profound-ai-visibility-tool-review
  • Profound Review (2026): Is the Enterprise AI Visibility Tool: https://dupple.com/learn/profound-review
  • Profound AI Review: Citation Tracking and Limits - Maintouch: https://maintouch.com
  • Profound Pricing Review September 2026 | Maintouch: https://maintouch.com/blogs/profound-ai-pricing
  • Profound AI Visibility: What It Misses | Maintouch: https://maintouch.com/blogs/profound-ai-review-citations-limits
  • Profound Citation Gap Analysis agent - Optimizely Support: https://support.optimizely.com
  • Profound Review 2026: Features, Limits and Verdict - Trakkr: https://trakkr.com
  • Profound Pricing 2026: Costs & 6 Alternatives | Cruelx: https://www.cruelx.com/resources/profound-pricing-alternatives
  • Profound Reviews 2026: Details, Pricing, & Features | G2: https://www.g2.com/products/profound/reviews
  • Profound Review 2026: Features, Pricing, Honest Limits: https://www.get-ryze.ai/blog/profound-review-2026
  • Does anyone here know the pricing for enterprise plan of profound?: https://www.reddit.com/r/marketing/
  • Profound AI Review 2026: Limits, Pricing & Results - Analyze AI: https://www.tryanalyze.ai/blog/profound-ai-review
  • Profound AI Review 2026: Is It Worth It for Enterprise AEO? | Vismore: https://www.vismore.ai/blog/profound-review
  • Profound LLM Visibility Tool Review - Is it worth it?: https://www.youtube.com/watch?v=ym-hJL2H1MU
  • Profound AI Pricing: Is It Worth the Money?: https://zerorank.com
  • Additional AI research evidence58 records
    1. AI research evidence record openai:c2
    2. AI research evidence record anthropic:cit_5_source_classification
    3. AI research evidence record google:1.2.3
    4. AI research evidence record anthropic:cit_9_platform_coverage
    5. AI research evidence record anthropic:cit_10_plan_tiers
    6. AI research evidence record deepseek:c2
    7. AI research evidence record grok:c4
    8. AI research evidence record perplexity:c13
    9. AI research evidence record kimi:citescore-2024
    10. AI research evidence record anthropic:cit_3_page_level_citation
    11. AI research evidence record anthropic:cit_4_citation_gap_analysis
    12. AI research evidence record anthropic:cit_6_authority_ranking
    13. AI research evidence record anthropic:cit_5_source_classification
    14. AI research evidence record google:1.2.3
    15. AI research evidence record anthropic:cit_2_citation_benchmarking
    16. AI research evidence record anthropic:cit_11_competitor_benchmarking
    17. AI research evidence record perplexity:c13
    18. AI research evidence record openai:c2
    19. AI research evidence record anthropic:cit_15_agent_analytics
    20. AI research evidence record kimi:citescore-2024
    21. AI research evidence record openai:c2
    22. AI research evidence record deepseek:c2
    23. AI research evidence record grok:c5
    24. AI research evidence record perplexity:c2
    25. AI research evidence record perplexity:c14
    26. AI research evidence record anthropic:cit_10_plan_tiers
    27. AI research evidence record google:1.3.8
    28. AI research evidence record google:1.3.6
    29. AI research evidence record anthropic:cit_9_platform_coverage
    30. AI research evidence record google:1.2.7
    31. AI research evidence record google:1.3.3
    32. AI research evidence record openai:c6
    33. AI research evidence record anthropic:cit_13_sub_query_limitation
    34. AI research evidence record anthropic:cit_14_branch_detection
    35. AI research evidence record anthropic:cit_12_prompt_limitation
    36. AI research evidence record openai:c2
    37. AI research evidence record anthropic:cit_3_page_level_citation
    38. AI research evidence record anthropic:cit_6_authority_ranking
    39. AI research evidence record anthropic:cit_5_source_classification
    40. AI research evidence record anthropic:cit_2_citation_benchmarking
    41. AI research evidence record google:1.2.6
    42. AI research evidence record anthropic:cit_15_agent_analytics
    43. AI research evidence record anthropic:cit_16_infrastructure_limitation
    44. AI research evidence record anthropic:cit_17_monitoring_only
    45. AI research evidence record anthropic:cit_18_remediation_gap
    46. AI research evidence record anthropic:cit_19_multi_workspace
    47. AI research evidence record google:1.3.9
    48. AI research evidence record anthropic:cit_10_plan_tiers
    49. AI research evidence record perplexity:c2
    50. AI research evidence record perplexity:c14
    51. AI research evidence record google:1.3.8
    52. AI research evidence record google:1.3.6
    53. AI research evidence record openai:c2
    54. AI research evidence record deepseek:c2
    55. AI research evidence record grok:c5
    56. AI research evidence record kimi:citescore-2024
    57. AI research evidence record anthropic:cit_19_multi_workspace
    58. AI research evidence record openai:c2

Other Sources

  • Profound official website URL supplied for evaluation: https://www.profound.com/Home.aspx?ReturnUrl=%2f
  • Additional AI research evidence58 records
    1. AI research evidence record openai:c2
    2. AI research evidence record anthropic:cit_5_source_classification
    3. AI research evidence record google:1.2.3
    4. AI research evidence record anthropic:cit_9_platform_coverage
    5. AI research evidence record anthropic:cit_10_plan_tiers
    6. AI research evidence record deepseek:c2
    7. AI research evidence record grok:c4
    8. AI research evidence record perplexity:c13
    9. AI research evidence record kimi:citescore-2024
    10. AI research evidence record anthropic:cit_3_page_level_citation
    11. AI research evidence record anthropic:cit_4_citation_gap_analysis
    12. AI research evidence record anthropic:cit_6_authority_ranking
    13. AI research evidence record anthropic:cit_5_source_classification
    14. AI research evidence record google:1.2.3
    15. AI research evidence record anthropic:cit_2_citation_benchmarking
    16. AI research evidence record anthropic:cit_11_competitor_benchmarking
    17. AI research evidence record perplexity:c13
    18. AI research evidence record openai:c2
    19. AI research evidence record anthropic:cit_15_agent_analytics
    20. AI research evidence record kimi:citescore-2024
    21. AI research evidence record openai:c2
    22. AI research evidence record deepseek:c2
    23. AI research evidence record grok:c5
    24. AI research evidence record perplexity:c2
    25. AI research evidence record perplexity:c14
    26. AI research evidence record anthropic:cit_10_plan_tiers
    27. AI research evidence record google:1.3.8
    28. AI research evidence record google:1.3.6
    29. AI research evidence record anthropic:cit_9_platform_coverage
    30. AI research evidence record google:1.2.7
    31. AI research evidence record google:1.3.3
    32. AI research evidence record openai:c6
    33. AI research evidence record anthropic:cit_13_sub_query_limitation
    34. AI research evidence record anthropic:cit_14_branch_detection
    35. AI research evidence record anthropic:cit_12_prompt_limitation
    36. AI research evidence record openai:c2
    37. AI research evidence record anthropic:cit_3_page_level_citation
    38. AI research evidence record anthropic:cit_6_authority_ranking
    39. AI research evidence record anthropic:cit_5_source_classification
    40. AI research evidence record anthropic:cit_2_citation_benchmarking
    41. AI research evidence record google:1.2.6
    42. AI research evidence record anthropic:cit_15_agent_analytics
    43. AI research evidence record anthropic:cit_16_infrastructure_limitation
    44. AI research evidence record anthropic:cit_17_monitoring_only
    45. AI research evidence record anthropic:cit_18_remediation_gap
    46. AI research evidence record anthropic:cit_19_multi_workspace
    47. AI research evidence record google:1.3.9
    48. AI research evidence record anthropic:cit_10_plan_tiers
    49. AI research evidence record perplexity:c2
    50. AI research evidence record perplexity:c14
    51. AI research evidence record google:1.3.8
    52. AI research evidence record google:1.3.6
    53. AI research evidence record openai:c2
    54. AI research evidence record deepseek:c2
    55. AI research evidence record grok:c5
    56. AI research evidence record kimi:citescore-2024
    57. AI research evidence record anthropic:cit_19_multi_workspace
    58. AI research evidence record openai:c2

Verify this research

Review the study details behind this page or download the public machine-readable verification record.

Study date
September 19, 2026
Platforms analyzed
7
Source records
36
Ranking mentions
7 of 7
Platform share
100%
Final consensus rank
#1

Research trail and source mix

Configured platforms

openai, anthropic, deepseek, grok, perplexity, kimi, google

Source mix

23 independent · 12 company-owned · 1 unclear

Evidence support

17 direct · 9 partial

Important limitation

Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.

Source snapshot SHA-256 26d287c4eae8254697787b38be7500d9eb5b45fa64a3ff1ad294e0c90f3e5c9b