Answer Capsule
Profound is a strong fit for larger or growth-stage US agencies that need centralized, multi-client AI-search visibility with enterprise collaboration, exports, and account management, but it is a mixed fit for agencies running many small or mid-market clients on tight budgets. Two of the seven platforms in this study named Profound during the ranking stage (deepseek, grok), where it averaged rank 4.5 and peaked at rank 3. The strongest reason to consider it is Agency Mode: separated client and pitch workspaces, daily multi-engine tracking, exports, API access, and enterprise support. The main limitation is opaque Enterprise pricing and unresolved conflicts over multi-client structure, white-label reporting, and contract terms.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (deepseek, grok) |
| Share of included platform responses | 28.6% |
| Average listed rank | 4.5 |
| Best listed rank | 3 (grok) |
| Relevant product/model/plan | Profound AI search visibility platform, evaluated primarily at the Enterprise tier with Agency Mode |
| Overall use-case fit | Strong for enterprise-scale agency programs; mixed for high-volume SMB portfolios |
| Research date | 2026-09-18 |
Why Profound Qualified for This Study
Questions This Section Answers
- Why did Profound qualify for this AI SEO tools for agencies study if only two platforms named it?
- Is Profound a legitimate contender for agencies managing multiple client AI search programs?
Profound qualified because it cleared the study's minimum-mention threshold and because all seven included platforms evaluated its fit for this use case, even though only two named it during ranking discovery. The ranking stage counted platforms that named the entity; fit evaluation was broader. Profound appeared in deepseek's list at rank 6 and grok's list at rank 3, producing an average listed rank of 4.5 and a platform share of 28.6%.
The entity is a company-level vendor whose relevant offering is the Profound AI search visibility platform, evaluated primarily at the Enterprise tier with Agency Mode [1]. Platform fit ratings ranged from strong (openai, google) to good (deepseek, grok, perplexity) to mixed (anthropic, kimi), so the study includes it as a contested but material option rather than a consensus pick.
The Product, Model, Plan, or Service Most Relevant to AI SEO Tools for Agencies
Questions This Section Answers
- Which Profound plan should an agency choose for multi-client AI search visibility work?
- Is Profound's Enterprise tier with Agency Mode the right product for an agency managing several client brands?
The most relevant offering is the Enterprise tier of the Profound AI search visibility platform with Agency Mode, which is the configuration every platform in this study treated as the agency-relevant option [3]. Agency Mode is designed for organizations managing multiple brands or client workspaces under a single account, with each brand workspace operating independently with its own configuration, data, and lifecycle [4].
Enterprise is the only tier publicly described as covering the broadest answer-engine set plus enterprise controls [7]. Profound's Enterprise plan lists custom pricing, daily and multi-engine tracking, custom prompts, projects, exports, API access, unlimited seats, SSO/SAML, SOC 2 compliance, and dedicated support options [13]. Self-serve tiers are narrower: Starter is ChatGPT-only at $99/month with 50 prompts and one seat, and Growth is $399/month with three engines and 100 prompts [14].
Agency Mode also supports pitch workspaces that let an agency run a full AI visibility audit for a prospect and convert it into an active client account [17]. Profound markets centralized client management, dedicated agency support, multi-engine AI visibility, and agency-focused AEO workflows [19].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Profound does well for agencies running AI search visibility programs?
- Does Profound support daily multi-engine tracking and client-facing reporting for agency use?
Agreement was strongest on three points: AI-search visibility depth, agency workspace separation, and enterprise-grade administration.
On visibility, platforms converged that Profound tracks brand and competitor appearance across multiple AI answer engines. Enterprise is described as covering up to 9 or 10 engines including ChatGPT, Perplexity, Google AI Mode, Google Gemini, Microsoft Copilot, DeepSeek, Claude, Google AI Overviews, and Exa Search [21]. Profound's prompt data foundation is described as more than 1.9 billion real user prompts broken down by intent and demographics [24].
On agency structure, the official Agency Mode documentation states that each client gets its own workspace with separate prompt tracking, share-of-voice data, and reporting, and that pitch workspaces can be promoted into full client workspaces [25]. Independent reviewers echo the pitch-to-client workflow [26].
On administration, platforms agreed that Enterprise includes unlimited view-only seats, SSO/SAML, SOC 2 compliance as stated on the pricing page, and dedicated support options including email, dedicated Slack, or a dedicated specialist with a stated 24-hour SLA [21]. Exports and integrations were also widely supported: CSV and JSON exports on Growth and higher tiers, API access on Enterprise, and a REST API plus TypeScript and Python SDKs and an MCP server for pulling visibility and citation data into other workflows [31].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Do agencies need separate Profound logins per client, or does Agency Mode provide a consolidated multi-client view?
- Is Profound's Enterprise pricing and contract structure clear enough for an agency to budget confidently?
The sharpest conflict concerns multi-client management. Profound's official Agency Mode documentation claims support for multiple brand workspaces with separate dashboards and lifecycle management [36]. Independent reviewer Analyze AI reports the opposite: that Profound does not support multi-account management, runs one workspace per account, and would require five separate Profound accounts for five clients, with no consolidated view [39]. This is a direct contradiction between company-owned and independent evidence and must be resolved in writing before purchase.
Pricing is the second unresolved area. Profound publishes custom Enterprise pricing but no dollar amount, minimum commitment, or standard cancellation terms [43]. Third-party estimates place enterprise deployments at $2,000 to $5,000+ per month, but these are unverified by Profound [46]. One independent analysis found Profound roughly 48% more expensive than the average AI visibility tool [55]. Self-serve Agency Growth is reported at $399 per month per active client workspace, which one reviewer calls expensive at portfolio scale [56].
Engine counts also conflict: some sources say 9 engines, others 10, and one review mentions 11 [58]. White-label reporting is a third uncertainty: multiple independent reviewers state a native white-label client portal is not publicly documented, and Profound's official integration page does not list Looker Studio [61]. Revenue attribution is a fourth: Profound measures citation visibility and brand mentions but cannot track closed-won revenue or conversion from citations to pipeline [64].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- What agency-specific features does Profound offer for scalable multi-client AI SEO workflows?
- Can Profound export client data and integrate with an agency's existing reporting stack?
Profound's agency-relevant capabilities cluster into five areas.
Multi-client account management. Agency Mode is designed to manage multiple brands or client workspaces under one account, with separate configuration, data, prompt sets, competitors, tracked engines, and lifecycle per workspace [66]. Agency-level roles let administrators create workspaces, manage users, and change permissions [66].
Pitch and sales workflows. Agencies can create short-term pitch workspaces, upload custom prompts by CSV, use automatically generated industry prompts, extend or promote successful pitches into full client workspaces, and retain expired workspaces in read-only mode [66]. Pitch data typically takes 24-48 hours to generate, and custom uploaded prompts take about 48 hours to begin producing data [66].
Scalable tracking. Enterprise provides custom prompt tracking, daily frequency, custom regions and languages, and analysis of brand and competitor appearance, citations, sentiment, ranking, and competitive presence [70]. Growth is limited to three engines and 100 prompts on a single brand workspace [71].
Collaboration and workflow execution. Enterprise includes shared Projects, reusable Agents, Context Manager, Profound Sheets, unlimited seats, and custom support options [70]. Workflows, Content, and Agent Analytics are organization-level capabilities rather than isolated per workspace, and are Enterprise-only [73]. Agents are credit-based, with 400 credits per month per client workspace on the self-serve Agency Growth plan [76].
Reporting, exports, and integrations. Enterprise lists all-time data history, CSV and JSON exports, and API access [70]. Profound Agents can call external GET or POST APIs with optional authentication and JSON request bodies, supporting integrations with CRMs, CMSs, analytics systems, and internal APIs [79]. A Gamma integration lets Agents generate presentations, documents, and webpages directly, which Profound positions for automating client-facing visibility reports [80]. CDN and platform integrations include Cloudflare, Vercel, Amazon Data Firehose, Fastly, Netlify, Akamai, Google Cloud CDN, WordPress, Shopify, and AEM [82].
Independent reviewers caution that Profound's primary function is data and analytics, that its basic content generator does not make it an all-in-one execution suite, and that agencies may need separate tools for technical optimization and advanced content workflows [85]. Production execution still requires team strategy, review, and content governance [90].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Profound cost per month for an agency, and are there per-client workspace fees?
- What contract, cancellation, and overage terms should an agency confirm before buying Profound?
Published self-serve pricing is $99/month for Starter (ChatGPT only, 50 prompts, one seat) and $399/month for Growth (three engines, 100 prompts, ChatGPT Shopping Analytics) [92]. Agency Growth is reported at $399/month per active client workspace as a self-serve add-on, with a base plan price that is not published [97]. One platform reports Agency Growth as $99/month base plus $399 per client workspace, with extra trial workspace packs at $199/month [96]. Another reports Agency Growth starting at $99/month plus custom add-ons [100]. These figures conflict and should be treated as platform-reported.
Enterprise pricing is custom and not publicly disclosed [101]. Third-party estimates range from $2,000 to $5,000+ per month [104]. Agent usage is credit-based, with credits consumed each time an Agent runs and packages available at various tiers; additional credit thresholds require an Enterprise package [113].
Additional fees may include expanded prompt limits, workspace volume, Agent credits, or overage usage, and the account may be configured either to permit overage billing or to pause usage after the credit allotment is reached [114]. Some independent sources mention possible one-time setup fees, but these are not confirmed by Profound [109]. Contract duration, renewal, cancellation notice, refund, and termination terms are not specified in public sources reviewed [114]. Client workspace duration is tied to the agency's Profound contract or another agreed period, and pitch workspaces typically expire after about 30 days unless extended or promoted [114]. One platform reports self-serve billing as annual-only, with Starter at $1,188/year and Growth at $4,788/year, and no monthly option displayed [99]. Another reports monthly or annual billing available on self-serve tiers with annual discounts around 17% [96]. This conflict is unresolved.
Best Suited For
Questions This Section Answers
- Is Profound a good choice for an enterprise agency managing large AI search retainers across multiple clients?
- Which agencies get the most value from Profound's Agency Mode and Enterprise tier?
Profound is best suited to larger or growth-stage US agencies that need a centralized, multi-client AI-search visibility platform with enterprise collaboration, exports, integrations, and account management [115]. The strongest fits are agencies managing multiple client brands and recurring AI-search visibility programs, agencies that need pitch audits followed by conversion into ongoing client workspaces, and enterprise agencies requiring client separation, daily monitoring, reporting exports, API connectivity, SSO/SAML, and dedicated support [115].
It also fits agencies selling AI visibility, GEO, or answer-engine optimization retainers to US clients, teams monitoring brand mentions, citations, and sentiment across multiple AI answer engines, and multi-brand or multi-market programs that need enterprise governance and larger scale than self-serve plans [120]. Agencies with technical infrastructure such as AWS, Cloudflare, or Netlify that can use Agent Analytics for AI crawler optimization are another strong fit [124]. Agencies pitching Fortune 500 or mid-market brands where Profound's prompt data and competitive benchmarking justify investment also fit [127].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Profound for AI SEO tools for agencies?
- Is Profound a poor fit for small agencies or those needing transparent self-serve pricing?
Profound is probably not the best fit for small agencies needing transparent self-serve pricing, buyers seeking a low-cost tool for conventional keyword-rank tracking rather than AI-search visibility, and agencies unwilling to negotiate workspace, prompt, agent-credit, and overage terms [129]. Agencies managing large portfolios of SMB or lower-mid-market clients where per-client costs of $399 to $2,000+ per month erode profitability are also a poor fit [131].
Other poor fits include teams requiring a white-label client portal, since a native white-label portal is not publicly documented [134]; agencies needing direct CRM or conversion-attribution integration, since Profound tracks citations rather than closed-won deals [136]; organizations requiring unified reporting across all clients from a single dashboard, given the conflicting evidence on consolidated views [138]; and agencies whose primary deliverable is long-form content production and editorial workflow management [142]. Agencies requiring real-time, daily-updating visibility data without multi-day lag times should also look elsewhere, since pitch and newly added custom-prompt data can take 24-48 hours [129].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Profound for an agency that needs lower per-client costs?
- When should an agency choose a different AI visibility tool instead of Profound?
Another option may be better in several specific situations. When an agency manages 20+ SMB clients where per-client cost is unsustainable, Peec AI, Rankability, or Scrunch are cited as offering lower per-client cost structures. When an agency needs unified reporting and consolidated dashboards across all clients, Peec AI and Loudmink are cited as supporting true multi-client management with a single login. When a white-label client portal is required, Loudmink, Scrunch, or Sendible are cited as offering native white-label capabilities.
When an agency prioritizes cost transparency and predictable pricing, SE Ranking, Ahrefs, or Semrush are cited as offering published pricing without custom demos. When an agency wants an integrated SEO plus AI visibility stack, SE Ranking, Ahrefs, and Semrush are cited as combined platforms with better per-channel cost allocation. When an agency prefers exporting data to custom dashboards, Peec AI and Analyze AI are cited as explicitly supporting Looker Studio and BI integrations. For smaller agencies or lighter needs, cheaper tools such as LLM Pulse or Otterly are cited as delivering roughly 70% of the value at lower cost. When monthly billing flexibility is required, Scrunch is cited as offering month-to-month at $300 with a 7-day no-card trial. When an agency's core need is traditional SEO rank tracking, backlinks, and technical audits, a general SEO suite may fit better.
Questions to Verify Before Buying
Questions This Section Answers
- What should an agency confirm with Profound before signing an Enterprise contract?
- Which Profound capabilities must be verified in writing because public documentation is incomplete?
The following questions come directly from the platform research and should be answered in writing before purchase.
- Does Agency Mode support a single unified dashboard across all client workspaces, or do users need separate logins per client [146]?
- What is the total annual and monthly Enterprise price for the agency's expected number of clients, prompts, engines, regions, users, and Agent runs [150]?
- How many active client workspaces, pitch workspaces, prompts, tracked engines, regions, and languages are included [150]?
- What are the prices and expiration rules for additional workspaces, prompt capacity, and Agent credits [150]?
- Are overages billed automatically, and can the account be configured to pause instead [150]?
- What are the API endpoints, rate limits, export fields, scheduling options, and historical-data retention limits [150]?
- Can reports be white-labeled and scoped separately by client, and can client users be restricted to only their own workspace [150]?
- What are the Enterprise contract term, renewal, cancellation, data-export, and deletion provisions [150]?
- What exact SOC 2 report, SSO/SAML controls, data-processing terms, and security documentation are available [150]?
- What is the expected data latency for new clients, new prompts, and newly tracked answer engines [150]?
- Is there an agency onboarding team, implementation support, and a contractual service-level commitment [150]?
- Can Profound integrate with HubSpot, Salesforce, or another CRM to track citations to pipeline stages or closed-won revenue [163]?
- Does Looker Studio export exist, or is Tableau the only BI-ready export method [155]?
- Are there volume discounts or agency partner programs that reduce per-client cost below $399/month for Growth tier [165]?
Final AI Consensus Verdict
Profound is a strong fit for larger or growth-stage US agencies that need a centralized, multi-client AI-search visibility platform with enterprise collaboration, exports, integrations, and account management, and a mixed fit for agencies running many small or mid-market clients on tight budgets. Platform fit ratings split between strong (openai, google), good (deepseek, grok, perplexity), and mixed (anthropic, kimi), and only two of seven platforms named it during ranking discovery.
The strongest reason to shortlist it is Agency Mode: separated client and pitch workspaces, daily multi-engine tracking, exports, API access, collaboration features, and enterprise support [167]. The main purchase risks are opaque Enterprise pricing, credit and workspace economics, data latency for new prompts, and unverified contract or capacity details [167]. It should be shortlisted, but the agency should require a written quote and capability matrix before purchase, and should resolve the multi-client dashboard conflict between official documentation and independent reporting [169].
For buyers comparing this option against the wider field, the AI SEO Tools for Agencies consensus index ranks Profound against the other finalists.
Agencies that also need traditional keyword research, backlink analysis, and technical SEO auditing should plan for a second tool, since Profound is primarily an AI-search visibility and AEO platform [178]. Buyers evaluating the broader ai seo content optimization category should weigh whether a combined SEO suite or a lower-cost AI visibility tool better matches their portfolio economics.
How This Review Was Produced
This review was produced from a single research run dated 2026-09-18 covering seven AI platforms: openai, anthropic, deepseek, grok, kimi, perplexity, and google. Each platform was asked which AI SEO tools it would recommend for agencies, and each returned a fit assessment, use-case findings, pricing and terms, limitations, and questions to verify before buying. The ranking stage counted only platforms that named Profound during discovery; the fit stage included all seven platforms regardless of whether they named it.
Profound was named by two platforms (deepseek at rank 6, grok at rank 3), producing an average listed rank of 4.5, a best listed rank of 3, and a platform share of 28.6%. Fit ratings were strong for openai and google, good for deepseek, grok, and perplexity, and mixed for anthropic and kimi. All factual claims in this review are attributed to the platform that supplied them, and company-owned sources are distinguished from independent sources throughout.
Methodology Limitations
Several limitations apply. Platform-reported research dates differ from the authoritative run date: deepseek's research is dated 2026-02-14 while the run date is 2026-09-18, so deepseek's findings may be stale [181]. Citations are platform-reported evidence, not independently verified facts, and the supplied URLs were collected from platform responses and were not independently validated by the writer stage. No-search model claims require explicit verification before being described as current facts.
Profound's public pricing page confirms custom Enterprise pricing but does not disclose a dollar amount, minimum commitment, or standard cancellation terms [185]. Public materials describe Enterprise capabilities and Agency Mode mechanics but do not clearly publish the exact number of included client workspaces, prompts, regions, API calls, or Agent credits for a specific Enterprise quote [186]. The pricing page states SOC 2 compliance; the scope, report period, and applicable service boundaries should be verified during procurement [185]. Agency Mode is described as available on supported plans, but the specific Enterprise eligibility and commercial package must be confirmed with the account team [186].
Direct conflicts remain unresolved: multi-client management (official documentation versus Analyze AI), Enterprise pricing estimates, engine counts (9 versus 10 versus 11), white-label availability, and self-serve billing cadence (annual-only versus monthly or annual). These conflicts are described rather than resolved, and buyers should verify each in writing. No personal testing, customer experience, or independent verification was performed for this review.
Sources
Company-Owned Sources
- Introduction - Profound: https://docs.tryprofound.com/introduction
- Agency Mode overview: https://help.tryprofound.com/articles/8593548222-agency-mode-overview
- Profound | AI Search Visibility Platform: https://www.tryprofound.com
- Blog - AI Search Optimization News and Updates - Profound: https://www.tryprofound.com/blog
- Expanding our integrations for agent analytics: https://www.tryprofound.com/blog/agent-analytics-integrations
- 18 Best AI visibility tools for marketing agencies 2026 comparison: https://www.tryprofound.com/blog/best-ai-visibility-tools-for-marketing-agencies
- Bring Profound data directly into your AI workflow with MCP: https://www.tryprofound.com/blog/bring-profound-data-directly-into-your-ai-workflow-with-mcp
- Introducing Gamma integration nodes for Profound Agents: https://www.tryprofound.com/blog/introducing-gamma-integration-nodes-for-profound-agents
- Enterprise: https://www.tryprofound.com/enterprise
- Pricing - Profound: https://www.tryprofound.com/pricing
- Profound Product and Enterprise Overview: https://www.tryprofound.com/product
- Profound for Agencies: https://www.tryprofound.com/solutions/agencies
Additional AI research evidence186 records
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:29-1
- AI research evidence record deepseek:c1
- AI research evidence record grok:0
- AI research evidence record perplexity:6
- AI research evidence record google:1.1.3
- AI research evidence record kimi:ryze-review
- AI research evidence record anthropic:29-3
- AI research evidence record anthropic:29-4
- AI research evidence record perplexity:14
- AI research evidence record openai:c2
- AI research evidence record anthropic:24-13
- AI research evidence record anthropic:24-14
- AI research evidence record anthropic:13-3
- AI research evidence record anthropic:31-4
- AI research evidence record anthropic:31-3
- AI research evidence record openai:c4
- AI research evidence record google:1.2.4
- AI research evidence record openai:c2
- AI research evidence record anthropic:7-2
- AI research evidence record google:1.2.4
- AI research evidence record anthropic:19-12
- AI research evidence record anthropic:31-3
- AI research evidence record anthropic:31-4
- AI research evidence record anthropic:29-4
- AI research evidence record anthropic:11-1
- AI research evidence record perplexity:1
- AI research evidence record perplexity:10
- AI research evidence record anthropic:39-11
- AI research evidence record anthropic:40-1
- AI research evidence record anthropic:40-2
- AI research evidence record anthropic:40-4
- AI research evidence record openai:c3
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:29-4
- AI research evidence record openai:c1
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:36-3
- AI research evidence record anthropic:36-4
- AI research evidence record openai:c2
- AI research evidence record deepseek:c4
- AI research evidence record perplexity:13
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:13-5
- AI research evidence record perplexity:2
- AI research evidence record perplexity:4
- AI research evidence record perplexity:6
- AI research evidence record perplexity:8
- AI research evidence record perplexity:11
- AI research evidence record perplexity:12
- AI research evidence record perplexity:14
- AI research evidence record anthropic:26-14
- AI research evidence record anthropic:32-2
- AI research evidence record anthropic:32-7
- AI research evidence record perplexity:5
- AI research evidence record grok:11
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:32-8
- AI research evidence record anthropic:32-14
- AI research evidence record anthropic:39-11
- AI research evidence record anthropic:24-5
- AI research evidence record anthropic:24-6
- AI research evidence record openai:c1
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:29-4
- AI research evidence record anthropic:31-4
- AI research evidence record openai:c2
- AI research evidence record anthropic:13-3
- AI research evidence record anthropic:15-6
- AI research evidence record anthropic:29-16
- AI research evidence record anthropic:33-9
- AI research evidence record anthropic:33-10
- AI research evidence record anthropic:12-8
- AI research evidence record anthropic:12-11
- AI research evidence record anthropic:39-11
- AI research evidence record openai:c3
- AI research evidence record anthropic:42-6
- AI research evidence record anthropic:42-9
- AI research evidence record anthropic:45-1
- AI research evidence record anthropic:41-1
- AI research evidence record anthropic:41-6
- AI research evidence record anthropic:15-13
- AI research evidence record anthropic:15-14
- AI research evidence record anthropic:15-15
- AI research evidence record anthropic:1-8
- AI research evidence record anthropic:1-9
- AI research evidence record anthropic:24-1
- AI research evidence record anthropic:24-9
- AI research evidence record anthropic:24-13
- AI research evidence record anthropic:24-14
- AI research evidence record anthropic:13-3
- AI research evidence record perplexity:3
- AI research evidence record grok:2
- AI research evidence record anthropic:32-2
- AI research evidence record anthropic:32-7
- AI research evidence record kimi:ryze-review
- AI research evidence record google:1.1.6
- AI research evidence record openai:c2
- AI research evidence record deepseek:c4
- AI research evidence record perplexity:13
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:13-5
- AI research evidence record perplexity:2
- AI research evidence record perplexity:4
- AI research evidence record perplexity:6
- AI research evidence record perplexity:8
- AI research evidence record perplexity:11
- AI research evidence record perplexity:12
- AI research evidence record perplexity:14
- AI research evidence record anthropic:12-8
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c4
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:31-4
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record grok:0
- AI research evidence record google:1.2.4
- AI research evidence record anthropic:41-1
- AI research evidence record anthropic:41-6
- AI research evidence record anthropic:45-1
- AI research evidence record anthropic:19-12
- AI research evidence record anthropic:26-6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:32-7
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:32-8
- AI research evidence record anthropic:32-14
- AI research evidence record anthropic:24-5
- AI research evidence record anthropic:24-6
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:36-3
- AI research evidence record anthropic:36-4
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:15-14
- AI research evidence record anthropic:15-15
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:36-3
- AI research evidence record anthropic:36-4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:12-8
- AI research evidence record anthropic:12-11
- AI research evidence record openai:c3
- AI research evidence record anthropic:39-11
- AI research evidence record anthropic:32-8
- AI research evidence record anthropic:32-14
- AI research evidence record deepseek:c4
- AI research evidence record perplexity:6
- AI research evidence record anthropic:11-1
- AI research evidence record google:1.1.2
- AI research evidence record perplexity:10
- AI research evidence record anthropic:24-5
- AI research evidence record anthropic:24-6
- AI research evidence record anthropic:32-7
- AI research evidence record grok:2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:31-4
- AI research evidence record anthropic:12-8
- AI research evidence record anthropic:13-2
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:36-3
- AI research evidence record anthropic:36-4
- AI research evidence record anthropic:1-8
- AI research evidence record anthropic:1-9
- AI research evidence record anthropic:15-15
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record deepseek:c3
- AI research evidence record deepseek:c4
- AI research evidence record openai:c2
- AI research evidence record openai:c1
Independent Sources
- Profound AI Review 2026: Worth It for Agencies?: https://arvow.com/blog/profound-ai-review
- Top 6 AI visibility tools for SEO agencies: Flexible pricing, powerful features (2026: https://businesscloud.co.uk/news/top-6-ai-visibility-tools-for-seo-agencies-flexible-pricing-powerful-features-2026/
- Profound AI Visibility Tool: Deep Dive Review for B2B SaaS Teams: https://discoveredlabs.com/blog/profound-ai-visibility-tool-review
- 6 Best AI Visibility Tools for Marketing Agencies: https://explodingtopics.com/blog/ai-visibility-tools-marketing
- My Profound AI Search Visibility Review (for SaaS / Tech B2B: https://generatemore.ai/blog/my-profound-ai-search-visibility-review-for-saas-/-tech
- Profound Review 2026: Pricing & Is It Worth It? - Geoptie: https://geoptie.com/blog/profound-review
- Profound Pricing: What It Costs in 2026 (and Is It Worth It: https://geotoolbox.ai/blog/profound-pricing
- Profound Review 2026: Does This Enterprise GEO Platform Deliver?: https://getmint.ai/resources/profound-review
- AEO Platforms with Multi-Client Management for Agencies: https://loudmink.ai/blog/aeo-platforms-with-multi-client-management
- Profound Pricing Review September 2026: https://maintouch.com/blogs/profound-ai-pricing
- Profound Pricing 2026: $99 Starter to Custom Enterprise: https://thatmarketingbuddy.com/pricing/profound
- Profound Review: Enterprise AI Search Visibility (2026: https://thatmarketingbuddy.com/software/profound
- Profound for Agencies: Pricing, Client Reporting and Fit: https://trakkr.ai/reviews/profound-review/agency
- Profound integrations, API, MCP and export options: https://trakkr.ai/reviews/profound-review/integrations
- Profound Pricing 2026: What $99 and $399 Actually Buy · AEO: https://www.aeoaction.com/compare/profound-pricing
- Profound Review 2026: The Enterprise AEO Platform: https://www.arfadia.com/blog/profound-review/
- Best AI visibility tools for marketing agencies: https://www.cognizo.ai/blog/ai-visibility-tools-for-agencies
- Profound Pricing 2026: https://www.g2.com/products/profound/pricing
- Software Directory Listing: Profound: https://www.g2.com/products/profound/reviews
- Profound Pricing 2026: $99 and $399, Annual Billing Only - Ryze AI: https://www.get-ryze.ai/blog/profound-pricing-2026
- Profound Review 2026: Features, Pricing, Honest Limits: https://www.get-ryze.ai/blog/profound-review-2026
- Profound AI review for agencies (2026): is it worth it for client AI visibility?: https://www.rankability.com/blog/profound-ai-review/
- Profound AI Review 2026: Limits, Pricing & Results - Analyze AI: https://www.tryanalyze.ai/blog/profound-ai-review
- Profound LLM Visibility Tool Review - Is it worth it?: https://www.youtube.com/watch?v=ym-hJL2H1MU
Additional AI research evidence186 records
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:29-1
- AI research evidence record deepseek:c1
- AI research evidence record grok:0
- AI research evidence record perplexity:6
- AI research evidence record google:1.1.3
- AI research evidence record kimi:ryze-review
- AI research evidence record anthropic:29-3
- AI research evidence record anthropic:29-4
- AI research evidence record perplexity:14
- AI research evidence record openai:c2
- AI research evidence record anthropic:24-13
- AI research evidence record anthropic:24-14
- AI research evidence record anthropic:13-3
- AI research evidence record anthropic:31-4
- AI research evidence record anthropic:31-3
- AI research evidence record openai:c4
- AI research evidence record google:1.2.4
- AI research evidence record openai:c2
- AI research evidence record anthropic:7-2
- AI research evidence record google:1.2.4
- AI research evidence record anthropic:19-12
- AI research evidence record anthropic:31-3
- AI research evidence record anthropic:31-4
- AI research evidence record anthropic:29-4
- AI research evidence record anthropic:11-1
- AI research evidence record perplexity:1
- AI research evidence record perplexity:10
- AI research evidence record anthropic:39-11
- AI research evidence record anthropic:40-1
- AI research evidence record anthropic:40-2
- AI research evidence record anthropic:40-4
- AI research evidence record openai:c3
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:29-4
- AI research evidence record openai:c1
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:36-3
- AI research evidence record anthropic:36-4
- AI research evidence record openai:c2
- AI research evidence record deepseek:c4
- AI research evidence record perplexity:13
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:13-5
- AI research evidence record perplexity:2
- AI research evidence record perplexity:4
- AI research evidence record perplexity:6
- AI research evidence record perplexity:8
- AI research evidence record perplexity:11
- AI research evidence record perplexity:12
- AI research evidence record perplexity:14
- AI research evidence record anthropic:26-14
- AI research evidence record anthropic:32-2
- AI research evidence record anthropic:32-7
- AI research evidence record perplexity:5
- AI research evidence record grok:11
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:32-8
- AI research evidence record anthropic:32-14
- AI research evidence record anthropic:39-11
- AI research evidence record anthropic:24-5
- AI research evidence record anthropic:24-6
- AI research evidence record openai:c1
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:29-4
- AI research evidence record anthropic:31-4
- AI research evidence record openai:c2
- AI research evidence record anthropic:13-3
- AI research evidence record anthropic:15-6
- AI research evidence record anthropic:29-16
- AI research evidence record anthropic:33-9
- AI research evidence record anthropic:33-10
- AI research evidence record anthropic:12-8
- AI research evidence record anthropic:12-11
- AI research evidence record anthropic:39-11
- AI research evidence record openai:c3
- AI research evidence record anthropic:42-6
- AI research evidence record anthropic:42-9
- AI research evidence record anthropic:45-1
- AI research evidence record anthropic:41-1
- AI research evidence record anthropic:41-6
- AI research evidence record anthropic:15-13
- AI research evidence record anthropic:15-14
- AI research evidence record anthropic:15-15
- AI research evidence record anthropic:1-8
- AI research evidence record anthropic:1-9
- AI research evidence record anthropic:24-1
- AI research evidence record anthropic:24-9
- AI research evidence record anthropic:24-13
- AI research evidence record anthropic:24-14
- AI research evidence record anthropic:13-3
- AI research evidence record perplexity:3
- AI research evidence record grok:2
- AI research evidence record anthropic:32-2
- AI research evidence record anthropic:32-7
- AI research evidence record kimi:ryze-review
- AI research evidence record google:1.1.6
- AI research evidence record openai:c2
- AI research evidence record deepseek:c4
- AI research evidence record perplexity:13
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:13-5
- AI research evidence record perplexity:2
- AI research evidence record perplexity:4
- AI research evidence record perplexity:6
- AI research evidence record perplexity:8
- AI research evidence record perplexity:11
- AI research evidence record perplexity:12
- AI research evidence record perplexity:14
- AI research evidence record anthropic:12-8
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c4
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:31-4
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record grok:0
- AI research evidence record google:1.2.4
- AI research evidence record anthropic:41-1
- AI research evidence record anthropic:41-6
- AI research evidence record anthropic:45-1
- AI research evidence record anthropic:19-12
- AI research evidence record anthropic:26-6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:32-7
- AI research evidence record anthropic:13-2
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:32-8
- AI research evidence record anthropic:32-14
- AI research evidence record anthropic:24-5
- AI research evidence record anthropic:24-6
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:36-3
- AI research evidence record anthropic:36-4
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:15-14
- AI research evidence record anthropic:15-15
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:36-3
- AI research evidence record anthropic:36-4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:12-8
- AI research evidence record anthropic:12-11
- AI research evidence record openai:c3
- AI research evidence record anthropic:39-11
- AI research evidence record anthropic:32-8
- AI research evidence record anthropic:32-14
- AI research evidence record deepseek:c4
- AI research evidence record perplexity:6
- AI research evidence record anthropic:11-1
- AI research evidence record google:1.1.2
- AI research evidence record perplexity:10
- AI research evidence record anthropic:24-5
- AI research evidence record anthropic:24-6
- AI research evidence record anthropic:32-7
- AI research evidence record grok:2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:31-4
- AI research evidence record anthropic:12-8
- AI research evidence record anthropic:13-2
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:36-2
- AI research evidence record anthropic:36-3
- AI research evidence record anthropic:36-4
- AI research evidence record anthropic:1-8
- AI research evidence record anthropic:1-9
- AI research evidence record anthropic:15-15
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record deepseek:c3
- AI research evidence record deepseek:c4
- AI research evidence record openai:c2
- AI research evidence record openai:c1
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
- 37
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #7
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
24 independent · 13 company-owned
Evidence support
24 direct · 13 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 8f18d736e03ce87e42c5dd721a42f6b1fc20d8dd1caaf97c868e15c02d12d708