Answer Capsule
Profound is a strong fit for enterprise buyers who need prompt-level AI-search competitive analysis, citation-share comparisons, source-gap analysis, and historical monitoring across multiple answer engines. Six of seven platforms named Profound during the ranking stage, and it finished first overall with an average listed rank of 1.67. The strongest reason to consider it is its citation-level intelligence: page-level citation tracking, source categorization, competitor citation gaps, and real prompt-volume data. The main limitation is commercial opacity. Enterprise pricing, contract terms, seat limits, and SLA details are not published, and several platforms flagged that multi-engine coverage, API access, and multi-region tracking sit behind a custom Enterprise contract.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 6 of 7 platforms (anthropic, deepseek, google, grok, openai, perplexity) |
| Share of included platform responses | 85.7% |
| Average listed rank | 1.67 |
| Best listed rank | 1 |
| Relevant product/model/plan | Profound Answer Engine Insights / Enterprise platform; Growth and Enterprise plans most relevant |
| Overall use-case fit | Strong for enterprise buyers; mixed for lean teams and agencies |
| Research date | 2026-09-18 |
Why Profound Qualified for This Study
Questions This Section Answers
- Why did Profound qualify as a finalist for AI Search Competitive Analysis Services in 2026?
- How many AI platforms named Profound during the ranking stage, and at what average rank?
Profound qualified because it is purpose-built for the exact buyer criteria in this study: prompt-level recommendation data, citation analysis, citation architecture comparisons, source-gap analysis, historical context, and strategic recommendations. Six of the seven included platforms named Profound during ranking discovery, and it finished first overall with an average listed rank of 1.67 and a best rank of 1 [1].
The qualification is not just name recognition. Independent reviewers describe Profound as an AI-answer-engine visibility and analytics platform for marketing teams and enterprises, with competitor analysis and prompt performance as core functions [7]. Other independent reviews place it among dedicated AI citation-tracking tools rather than retrofitted SEO suites [8]. One review notes it emerged as an early platform dedicated to Generative Engine Optimization [9].
Platform fit ratings were not unanimous. Google and Grok rated Profound "strong," OpenAI, Anthropic, DeepSeek, and Perplexity rated it "good," and Kimi rated it "mixed." That spread is itself useful: the disagreement centers on pricing transparency and tier gating, not on whether the product addresses the use case.
The Product, Model, Plan, or Service Most Relevant to AI Search Competitive Analysis Services
Questions This Section Answers
- Which Profound plan should a buyer choose for prompt-level AI search competitive analysis?
- Is Profound's Growth plan enough for multi-engine competitive analysis, or does a buyer need Enterprise?
The most relevant offer is Profound's Answer Engine Insights and Enterprise platform for AI-search visibility and competitive citation analysis. Enterprise pricing and configuration require sales contact [10]. For buyers who cannot sign an Enterprise contract, the Growth plan is the practical floor for any real competitive analysis, because Starter is limited to ChatGPT only.
Profound's citation feature page describes competitor citation tracking, source categorization, citation-share analysis, watched pages, exports, outreach intelligence, content workflows, and recommendations based on citation gaps [11]. The competitive benchmarking product tracks brand visibility, sentiment, and competitor rankings directly from front-end browser experiences rather than API outputs [12].
Plan-level capability differs sharply. Starter tracks ChatGPT only with 50 prompts and one seat. Growth adds Perplexity and Google AI Overviews, three seats, and 100 prompts. Enterprise unlocks up to 9 or 10 engines, including Claude, Gemini, Copilot, Grok, and DeepSeek, plus API access, SSO, and multi-region tracking [14]. Buyers who need Claude or Gemini coverage from day one cannot get it below Enterprise.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Profound does well for AI search competitive analysis?
- Does Profound provide citation architecture and source-gap analysis across multiple AI engines?
The platforms agreed most strongly on citation depth. Profound tracks which specific URLs on a site are cited in AI responses, not just domain-level mentions [17]. It categorizes cited sources as Owned, Competitor, Earned Media, PR Wire, Social, or Institution, and identifies prompts where competitors receive citations but the buyer does not [18]. Multiple platforms independently described this as a direct match for source-gap and citation-architecture work.
The second area of agreement is prompt-level visibility data. Profound's Prompt Volumes feature estimates real user query volume across AI engines, which several platforms called a genuine differentiator because it lets teams prioritize citation gaps by actual demand rather than optimizing blindly [19]. One review states nothing else tells you how often queries are actually asked [19].
The third area is enterprise readiness. Independent sources report SOC 2 Type II compliance, SSO via SAML or OIDC, role-based access control, and AES-256 encryption at rest [21]. One review notes Profound combines log-level AI crawler data, real-time front-end snapshots, and SOC 2 compliance [23].
Agreement on these points does not prove product quality. It shows that multiple independent and company-owned sources describe the same capabilities consistently.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Is Profound's Enterprise pricing published, and what do buyers need to verify before signing?
- Does Profound clearly define a recommendation-position metric across all supported AI engines?
Pricing is the largest unresolved conflict. G2 lists Starter at $99/month, Growth at $399/month, and Enterprise as contact us [24]. Other sources describe annual billing equivalents of $82.50/month and $332.50/month, and one reviewer estimated Enterprise at $2,000–$5,000+/month, which is not company-confirmed [25]. Profound's own pricing page presents Trial and Enterprise comparisons and states that additional Agent credits require an Enterprise package [27]. The current availability, names, and entitlements of Growth and Starter plans are therefore not fully reconciled.
Identity is a second conflict. The requested official website is profound.com, while the AI-search product materials and pricing reviewed here are hosted at tryprofound.com. One platform reported that profound.com is a market research aggregator rather than the AI platform [28]. A ranking-stage normalization audit flagged conflicting official domains and a failed official-site retrieval, leaving identity details unverified [29]. Buyers should confirm the contracting entity and official product domain directly.
Recommendation position is a third uncertainty. Profound reports ranking, competitive presence, and citation comparisons, but public materials do not clearly document a standardized recommendation-position metric across every supported engine [27]. Buyers should verify whether "position" means answer ordering, recommendation rank, or another score.
Methodology disclosure is a fourth gap. Public materials do not fully define sampling controls, answer variance handling, or citation-authority weighting [30]. One platform noted that Profound collects data in three phases: prompt ingestion from panels, LLM response logging, and statistical processing [31]. That is a description, not an independently audited methodology.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Profound track competitor citations and source gaps at the page level?
- How much historical data does Profound retain for competitive trend analysis?
Profound's citation analysis is the strongest use-case match. It tracks cited URLs for the buyer and competitors, citation share by platform, topic, and prompt, source categories, watched-page trends, and cited publishers or authors. It supports CSV and JSON export and connection to Profound Agents [32]. Independent reviews confirm page-level citation tracking rather than domain-level mentions [33].
Source-gap analysis is a first-class output. The product identifies prompts where competitors receive citations but the buyer does not, plus publishers and pages associated with citation opportunities [32]. Agent Analytics adds infrastructure-level tracking of which AI crawlers hit which pages across unlimited domains, a capability one platform described as having few genuine peers [34].
Historical context is available but under-specified. Enterprise lists all-time history, daily tracking, and watched-page trends [35]. Public materials do not specify retention duration, sampling methodology, or whether historical data is backfilled before activation. One platform noted that Starter and Growth prompt limits of 50 and 100 constrain historical depth for competitive tracking [34].
Strategic recommendations are platform-reported. Profound describes actionable next steps such as content briefs, outreach lists, and prioritization based on competitor citations and underperforming pages [32]. One review notes Profound Agents draft and orchestrate content briefs but do not produce publish-ready articles, and the platform does not push updates directly to a CMS [36]. Independent evidence of measurable customer outcomes was not established in the reviewed sources.
Platform coverage is tier-dependent. Enterprise materials list ChatGPT, Perplexity, Google AI Mode, Google Gemini, Microsoft Copilot, DeepSeek, Anthropic Claude, Google AI Overviews, and Exa Search [35]. Trial coverage is ChatGPT only. One review reports Enterprise plans track up to 9 engines [38], while another describes up to 10 [34]. The exact count should be confirmed in the order form.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Profound cost per month, and are there setup or cancellation fees?
- What additional fees should a buyer expect beyond Profound's listed plan prices?
Public pricing is tiered but inconsistent across sources. G2 lists Starter at $99/month, Growth at $399/month, and Enterprise as contact us [39]. One source describes Starter at $99/month or $82.50/month billed annually, and Growth at $399/month or $332.50/month billed annually [40]. Another describes Growth at $399/month billed annually as $4,788/year [41]. These figures are not reconciled with Profound's current pricing page, which emphasizes Trial and Enterprise comparisons [42].
Enterprise pricing is custom and requires sales contact [43]. One independent reviewer estimated Enterprise at $2,000–$5,000+/month, but this is not company-confirmed [44]. Buyers should treat all Enterprise figures as unverified.
Additional fees are possible. Agent usage is credit-based, and Profound states credits are consumed according to agent complexity and that packages can be adjusted over time [42]. One source reports Growth includes 400 Agent credits per month with excess consumption pricing not published [41]. Another describes Agency extra trial workspaces at $199/month per five [45]. API access, SSO, dedicated support, integrations, and custom dashboards may be separately priced or Enterprise-only [46].
Contract terms are largely undisclosed. One platform reports Starter and Growth require annual billing with no monthly option despite monthly equivalent pricing [41]. Another reports monthly or annual billing with self-serve for Starter and Growth [48]. Contract length, renewal, cancellation, refund, data-retention, and overage terms were not clearly disclosed in the reviewed public sources [42]. Buyers should verify whether Enterprise is annual, whether minimum commitments apply, and whether unused credits roll over.
Best Suited For
Questions This Section Answers
- Who gets the most value from Profound for AI search competitive analysis?
- Is Profound a good fit for enterprise teams that need SOC 2 compliance and SSO?
Profound is best suited to enterprise marketing, SEO, content, PR, and brand teams monitoring competitors across multiple answer engines [49]. Buyers who need citation-level source analysis, competitor benchmarking, historical trends, exports, API access, and recurring prompt tracking will find the closest match in the Enterprise offering [50].
It also fits organizations that want competitive findings connected to content briefs, outreach workflows, or AI-assisted execution [51]. One review describes Profound's ideal customers as spanning growth-stage B2B SaaS to large enterprise marketing teams [52]. Another notes its customer list includes MongoDB, Indeed, Figma, DocuSign, and Zapier [53].
Compliance-driven buyers are a strong fit. Independent sources report SOC 2 Type II certification, HIPAA compliance, GDPR-aligned data processing, SSO via SAML or OIDC, and role-based access control [54]. One review notes Enterprise plans include SOC 2 Type II compliance, SSO, role-based access control, and dedicated strategist support [56].
Multi-region programs also fit, but only at Enterprise. One source reports Profound supports 150+ regions with geo-distributed servers across 80+ countries [57]. Another reports Starter and Growth are restricted to a single region and language, pushing global tracking into custom Enterprise [58].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Profound for AI search competitive analysis?
- Is Profound a poor fit for small teams or agencies with limited budgets?
Small teams needing only occasional brand checks or a low-cost single-platform monitor are not a good fit [59]. The Starter tier is limited to ChatGPT only, one-time frequency, 10 prompts on the public trial, no history, no exports, and no API [59]. One platform described the minimum realistic entry point for serious competitive analysis as $4,788/year for Growth [60].
Buyers seeking a traditional SEO competitive-intelligence suite should look elsewhere. Profound focuses narrowly on AI visibility and does not include traditional SEO, link analysis, or content optimization [60]. Organizations needing both analysis and publish-ready content production in one platform will need additional tooling [62].
Agencies managing multiple client brands may find the economics unfavorable. One platform described Profound's structure as favoring large single-brand enterprise contracts, with agency-mode support lacking a full white-label option [60]. Another noted per-client workspace fees and single-account architecture are punitive for agencies [63].
Organizations requiring transparent enterprise pricing or independently validated ROI before a sales-led purchase should treat Profound as a conditional choice [59]. One platform rated the fit "mixed" specifically because of severe engine, region, language, and export limitations below Enterprise tier [63].
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 AI visibility tool instead of Profound?
Choose a lower-cost AI-visibility monitor when the buyer needs only a small prompt set, a few engines, and transparent self-serve pricing [65]. One platform listed MaxAEO ($19–$399/mo), Peec AI, and Otterly.AI ($29/mo Lite tier) as lower entry costs with core citation tracking [66]. Another listed Omniseo at $349/month for 10 AI channels [67].
Choose a broader SEO competitive-intelligence suite when backlink, keyword, traffic, and traditional SERP analysis matter more than AI-answer citations [65]. One platform suggested Semrush or Ahrefs Brand Radar for teams wanting AI visibility plus traditional SEO in one suite [66]. Another noted Profound has no native SEO or rank tracking at any tier [68].
Choose a vendor with a published methodology or trial API when reproducibility, raw-response access, or independent validation is a procurement requirement [65]. One platform noted most competitors publish all plan pricing, and Profound's opaque Enterprise tier creates sales friction [66].
Consider G2's AI Visibility Dashboard when the primary competitive question concerns how G2 pages and third-party proof are cited in LLM responses. It provides product and category visibility, buyer prompts, model and timeframe totals, and source-level breakouts, but is narrower than a general AI-search platform [69].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Profound before signing an Enterprise contract?
- Can a buyer run a proof of concept with their own prompts and competitors before committing?
Ask what exact plan name, prompt volume, engine coverage, refresh frequency, history retention, and number of competitors are included in the proposed quote [70]. Confirm whether recommendation position exposes ordered placement within an answer and whether it is available consistently across ChatGPT, Gemini, Perplexity, Claude, Copilot, and Google surfaces [70].
Ask whether raw prompts, full answers, cited URLs, timestamps, model and version information, and sampling metadata are exportable through CSV, JSON, or API [70]. Confirm how citations are deduplicated, classified, weighted, and compared across platforms with different answer and citation behaviors [71].
Ask what historical data is retained and whether Profound can import or backfill prior prompt results [70]. Confirm what Agent credits are included, what overages cost, and whether the account can automatically pause instead of incurring overage charges [70].
Ask whether API access, SSO, dedicated support, integrations, and custom dashboards are included or separately priced [72]. Confirm the minimum contract term, renewal, cancellation, refund, data-retention, security, and data-processing terms [70].
Ask whether the buyer can run a representative proof of concept using its own prompts, competitors, regions, and product categories before signing [70]. Ask what independently verifiable customer references or benchmark methodology support the claimed strategic recommendations and business impact [71]. Finally, confirm whether the contracting entity and official product domain are tryprofound.com or profound.com [73].
Final AI Consensus Verdict
Profound is a strong fit for enterprise AI Search Competitive Analysis Services when the buyer prioritizes prompt-level competitor visibility, citation architecture, source-gap analysis, historical tracking, and strategic content or outreach actions. Six of seven platforms named it during ranking, and it finished first overall. The rating should be reduced to mixed if transparent pricing, independently validated accuracy, or a clearly documented recommendation-position metric is mandatory. Buyers who need multi-engine coverage, API access, or multi-region tracking below Enterprise tier will find the product structurally limited.
How This Review Was Produced
This review synthesizes platform-reported research from seven AI systems that evaluated Profound against the AI Search Competitive Analysis Services use case on 2026-09-18. Each platform supplied fit assessments, use-case findings, pricing and terms, limitations, and questions to verify before buying. Citations are platform-reported evidence, not independently verified facts. Company-owned sources are labeled as owned; independent reviews and directories are labeled as independent. No personal testing, customer interviews, or independent verification was performed.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date. DeepSeek's research date was 2026-01-15, while the other six platforms reported 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness.
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.
A deterministic identity audit flagged conflicting official domains and a failed official-site retrieval, leaving identity details unverified. The requested official website is profound.com, while the AI-search product materials and pricing reviewed here are hosted at tryprofound.com. The relationship between these domains should be verified.
Pricing conflicts were not resolved by guessing. G2 lists Starter, Growth, Enterprise, Agency Growth, and Agency Enterprise prices, while Profound's current pricing page prominently presents Trial and Enterprise comparisons. The current availability, names, and entitlements of Growth and Starter plans are not fully reconciled.
Profound's feature pages make platform and capability claims. The reviewed independent G2 material confirms the product category and reported plan prices but does not independently validate measurement accuracy or outcomes. Public materials mention ranking and competitive presence but do not clearly define a universal recommendation-position metric.
Explore more ai search audits market intelligence guidance in the category directory.
Sources
Company-Owned Sources
- Profound – AI visibility and competitive intelligence platform: https://profound.com/
- Profound vs. Rankability: Which AI visibility platform fits your team?: https://www.tryprofound.com/blog/profound-vs-rankability
- AI Citation Analysis Tool for AEO | Profound: https://www.tryprofound.com/features/answer-engine-insights/citations
- AI Search Competitive Benchmarking Tool | Profound: https://www.tryprofound.com/features/answer-engine-insights/competitors
- Pricing - Profound: https://www.tryprofound.com/pricing
- AI Search Competitive Benchmarking Tool | Profound: https://www.tryprofound.com/product/benchmarking
- Answer Engine Insights: #1 AI Search Visibility Platform - Profound: https://www.tryprofound.com/product/insights
Additional AI research evidence73 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-1
- AI research evidence record grok:1
- AI research evidence record google:1.1.2
- AI research evidence record perplexity:c2
- AI research evidence record deepseek:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:20-4
- AI research evidence record anthropic:21-7
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record google:1.4.4
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:28-7
- AI research evidence record google:2.1.1
- AI research evidence record kimi:contentmonk
- AI research evidence record anthropic:23-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:15-6
- AI research evidence record anthropic:5-6
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:10-7
- AI research evidence record openai:c3
- AI research evidence record kimi:crawlraven
- AI research evidence record google:2.1.1
- AI research evidence record openai:c1
- AI research evidence record grok:3
- AI research evidence record deepseek:c2
- AI research evidence record openai:c2
- AI research evidence record anthropic:12-5
- AI research evidence record openai:c2
- AI research evidence record anthropic:23-1
- AI research evidence record kimi:contentmonk
- AI research evidence record openai:c1
- AI research evidence record kimi:deepsmith
- AI research evidence record google:2.1.2
- AI research evidence record anthropic:28-7
- AI research evidence record openai:c3
- AI research evidence record google:2.1.1
- AI research evidence record anthropic:1-7
- AI research evidence record openai:c1
- AI research evidence record anthropic:31-3
- AI research evidence record kimi:crawlraven
- AI research evidence record kimi:contentmonk
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:29-5
- AI research evidence record grok:3
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:15-10
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:3-4
- AI research evidence record anthropic:36-19
- AI research evidence record anthropic:32-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-7
- AI research evidence record google:1.3.7
- AI research evidence record kimi:deepsmith
- AI research evidence record kimi:contentmonk
- AI research evidence record anthropic:31-3
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-7
- AI research evidence record kimi:omniseo
- AI research evidence record kimi:contentmonk
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:34-2
- AI research evidence record deepseek:c2
Independent Sources
- Profound - AI Marketplace | G2: https://ai.g2.com/marketplace/tools/profound-profound
- Profound Review 2026: Pricing Is Public Now: https://aitoolsbakery.com/blog/profound-review/
- Profound Alternatives for AI Search Tools With Source Citation Analysis: https://bevisible.app/blog/profound-alternatives-ai-search-citation-analysis
- Profound Review & Pricing Comparison: Evaluate Against Top Alternatives: https://cairrot.com/alternatives/profound-review-price-comparison-top-alternatives/
- Profound Review 2026: Pricing, Features & Honest Verdict | CrawlRaven: https://crawlraven.com/blog/profound-review
- Profound Review: Features, Pricing, and Is It Worth It | DeepSmith: https://deepsmith.ai/blog/profound-review
- Profound AI Visibility Tool: Deep Dive Review for B2B SaaS Teams: 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 Review 2026: Pricing & Is It Worth It? - Geoptie: https://geoptie.com/blog/profound-review
- Profound AI Review 2026: Features, Pricing, Pros, Cons &: https://indexly.ai/blog/profound-ai-review/
- Profound Pricing Review 2026: Is It Worth $399/month?: https://indexly.ai/blog/profound-pricing/
- Profound Pricing Review September 2026 - Maintouch: https://maintouch.com/blog/profound-pricing-review
- Profound Pricing Review September 2026: https://maintouch.com/blogs/profound-ai-pricing
- Profound AI Review 2026: Features, Pricing, Pros & 22 Alternatives: https://maxaeo.ai/blog/profound-ai-review-2026-features-pricing-pros-22-alternatives/
- Profound AI Review 2026: Features, Pricing, Pros & Cons + 8 Best Alternatives: https://maxaeo.com/profound-ai-review
- Profound AI Alternatives: Why I Think Ahrefs Brand Radar Is the Smarter Choice: https://medium.com/@ahrefs/profound-ai-alternatives
- Semrush AI Visibility Toolkit Review (2026): Pricing, Coverage, and Alternatives: https://meev.ai/reviews/semrush-ai-visibility-toolkit
- 9 AI Visibility Optimization Platforms Ranked by AEO Score (2026: https://nicklafferty.com/blog/best-ai-visibility-optimization-platforms/
- G2 + Profound Integration | AI Visibility Dashboard: https://partnerhub.g2.com/integrations/profound
- 10 Best AI Citation Tracking Tools in 2026: Ranked & Compared: https://slatehq.com/blog/best-ai-citation-tracking-tools
- Profound Company Overview (2026: https://swellpulse.ai/companies/profound
- Profound Pricing 2026: $99 Starter to Custom Enterprise: https://thatmarketingbuddy.com/pricing/profound
- Superlines Review 2026: AI Search Intelligence + MCP | TMB: https://thatmarketingbuddy.com/software/superlines
- Profound Review 2026: The Best AEO/GEO Platform For AI Search: https://thepromptinsider.com/ai-tools/profound-review-2026/
- Searchable Review 2026: Is This AI Search Platform Worth It?: https://thepromptinsider.com/ai-tools/searchable-review-2026-is-this-ai-search-visibility-analytics-platform-worth-it/
- Omniseo Review 2026: Pricing, Features & Alternatives | ToolChase: https://toolchase.com/tool/omniseo/
- Profound Review 2026: Features, Limits and Verdict: https://trakkr.ai/reviews/profound-review
- Profound AI Review: Is It Worth The Investment for GEO?: https://writesonic.com/blog/profound-ai-review
- Profound Review (2026): Pricing, Features, and Is It Worth It?: https://www.aipeekaboo.com/blog/profound-review
- Profound Review 2026: Features, Pricing & Honest Verdict: https://www.contentmonk.io/aeo-geo-tools/profound-review
- Profound Pricing 2026: https://www.g2.com/products/profound/pricing
- Best Enterprise GEO Tools and Profound Alternatives (2026: https://www.meetgeo.ai/blog/best-enterprise-geo-tool-alternatives-profound-2026
- Profound AI review for agencies (2026): is it worth it for client AI visibility?: https://www.rankability.com/blog/profound-ai-review/
- Best AI Citation Tracking Tools for AI Visibility (2026: https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-citation-tracking
- Profound Review (2026): Is It Worth It for Enterprise AEO?: https://www.vismore.ai/blog/profound-review
- Profound AI Pricing (Worth the Investment for GEO in 2026?: https://www.workduo.ai/blog/profound-ai-pricing
- Searchable vs Profound (2026): Which AI Search Visibility Platform Wins?: https://www.youtube.com/watch?v=M5sEP7HAnDo
- Profound vs Peec AI (2026): Which GEO Tracking Tool Wins?: https://www.youtube.com/watch?v=NzhsOHqLxtE
- Profound AI Pricing: Is It Worth the Money? Buyer's Guide: https://zerorank.com/blog/profound-pricing
Additional AI research evidence73 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-1
- AI research evidence record grok:1
- AI research evidence record google:1.1.2
- AI research evidence record perplexity:c2
- AI research evidence record deepseek:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:20-4
- AI research evidence record anthropic:21-7
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record google:1.4.4
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:28-7
- AI research evidence record google:2.1.1
- AI research evidence record kimi:contentmonk
- AI research evidence record anthropic:23-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:15-6
- AI research evidence record anthropic:5-6
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:10-7
- AI research evidence record openai:c3
- AI research evidence record kimi:crawlraven
- AI research evidence record google:2.1.1
- AI research evidence record openai:c1
- AI research evidence record grok:3
- AI research evidence record deepseek:c2
- AI research evidence record openai:c2
- AI research evidence record anthropic:12-5
- AI research evidence record openai:c2
- AI research evidence record anthropic:23-1
- AI research evidence record kimi:contentmonk
- AI research evidence record openai:c1
- AI research evidence record kimi:deepsmith
- AI research evidence record google:2.1.2
- AI research evidence record anthropic:28-7
- AI research evidence record openai:c3
- AI research evidence record google:2.1.1
- AI research evidence record anthropic:1-7
- AI research evidence record openai:c1
- AI research evidence record anthropic:31-3
- AI research evidence record kimi:crawlraven
- AI research evidence record kimi:contentmonk
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:29-5
- AI research evidence record grok:3
- AI research evidence record openai:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:15-10
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:3-4
- AI research evidence record anthropic:36-19
- AI research evidence record anthropic:32-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-7
- AI research evidence record google:1.3.7
- AI research evidence record kimi:deepsmith
- AI research evidence record kimi:contentmonk
- AI research evidence record anthropic:31-3
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-7
- AI research evidence record kimi:omniseo
- AI research evidence record kimi:contentmonk
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:34-2
- AI research evidence record deepseek:c2
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 18, 2026
- Platforms analyzed
- 7
- Source records
- 47
- Ranking mentions
- 6 of 7
- Platform share
- 86%
- Final consensus rank
- #1
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
39 independent · 8 company-owned
Evidence support
37 direct · 10 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 b35e54377ecf3558f90f760d265c5d8aa4ff35b338579ca5f903d728045f1f0d