Answer Capsule
Profound is a good fit for mid-market and enterprise SaaS companies that need recurring monitoring of category, comparison, alternatives, and product-recommendation prompts across multiple answer engines. Six of the seven platforms in this study named Profound during the ranking stage, and it finished first overall with an average listed rank of 2.5 and a best rank of 1. The strongest reason to consider it is its combination of competitive benchmarking, citation analysis, and real-user prompt data. The main limitation is that meaningful multi-engine coverage starts at the $399/month Growth tier, while Enterprise pricing, contract terms, and historical retention are not publicly transparent.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 6 of 7 platforms named Profound (deepseek, google, grok, kimi, openai, perplexity) |
| Share of included platform responses | 85.7% |
| Average listed rank | 2.5 |
| Best listed rank | 1 |
| Relevant product/model/plan | Profound AI Visibility Platform; Growth for mid-market SaaS, Enterprise for multi-brand, high-volume, or governance-heavy programs |
| Overall use-case fit | Good for mid-market and enterprise SaaS; mixed for early-stage or budget-constrained teams |
| Research date | 2026-09-19 |
Why Profound Qualified for This Study
Questions This Section Answers
- Is Profound a good choice for AI Visibility Platforms for SaaS Companies?
- How many AI platforms named Profound in this study's ranking stage?
Profound qualified because six of the seven platforms in this study named it during ranking discovery, and it finished first overall. The platforms that named Profound were deepseek, google, grok, kimi, openai, and perplexity. Its average listed rank was 2.5, with a best rank of 1. Only one platform in the study did not name it during ranking.
The platforms that evaluated Profound for fit split on suitability. OpenAI, Google, and Perplexity rated it a good fit; Anthropic, DeepSeek, and Grok rated it mixed; Kimi rated it uncertain because it could not retrieve verifiable product information. That spread is itself a finding: the platforms agree Profound belongs in the shortlist, but they disagree on how well it serves the broader SaaS buyer population.
Profound's own site markets an AI search and answer-engine visibility platform [1]. Independent coverage describes it as an AI visibility tool with tracking and analysis centered on answer-engine search visibility [3]. Funding coverage from SiliconANGLE reports a $180M raise to boost brands' visibility in AI services [4] and an earlier $96M raise at a $1B valuation for an AI discovery monitoring platform [5].
The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms for SaaS Companies
Questions This Section Answers
- Which Profound plan should a SaaS buyer choose for category, comparison, and alternatives prompt tracking?
- Does Profound's Starter plan cover multiple answer engines for SaaS visibility monitoring?
The most relevant public plan for a mid-market SaaS buyer is Growth, with Enterprise reserved for multi-brand, high-volume, or governance-heavy programs. Multiple platforms converged on that mapping [6].
Growth is listed at $399/month when billed yearly, with 100 prompts, three answer engines, and 400 Agent credits per month [6]. Independent reviews describe the same tier as adding Perplexity and Google AI Overviews on top of ChatGPT [11]. Starter is listed at $99/month billed yearly with 50 prompts, one seat, and ChatGPT-only tracking [6]. Enterprise is custom-priced and can cover up to nine answer engines with multiple companies, tailored prompt tracking, and custom Agent capacity [6].
The platform's core product is Answer Engine Insights, which benchmarks how a brand and its competitors are mentioned, cited, and recommended across major engines [15]. Profound also markets Prompt Volumes, a database of real user prompts, and Agent Analytics for AI crawler tracking [17]. Independent coverage describes a read/write model where the read side covers visibility tracking, benchmarking, and citation analysis, and the write side generates content and recommendations [18].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Profound does well for SaaS competitive benchmarking?
- Is Profound's citation analysis considered a strength for SaaS recommendation tracking?
The platforms agreed on three things: Profound is a legitimate shortlist candidate, its competitive benchmarking is a core strength, and its multi-engine coverage is gated behind higher pricing.
On benchmarking, OpenAI reported that Profound's Answer Engine Insights is positioned to analyze how a brand and competitors appear in AI platforms [19]. Anthropic reported that Profound maps competitor share of voice and surfaces prompt-level visibility gaps, and that G2 named Profound the Leader in AEO for Winter 2026 with core strengths in competitive benchmarking and AI crawl analysis [21]. Google reported that Answer Engine Insights benchmarks how a SaaS brand and its competitors are mentioned, cited, and recommended across major engines [24].
On citation analysis, Anthropic reported that Profound tracks brand citations across ChatGPT, Perplexity, Claude, Gemini, Copilot, Meta AI, Grok, DeepSeek, and Google AI Overviews using real user conversation data rather than simulated prompts [26]. One independent evaluator rated brand-mention detection at roughly 87% across monitored platforms, described as a directional score rather than an audited benchmark [28]. Perplexity reported citation analytics and competitor share of voice inside answers [29].
On tier gating, OpenAI, Anthropic, Google, and Perplexity all reported that Starter is ChatGPT-only and that broader engine coverage requires Growth or Enterprise [19].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Is Profound worth it for a Series A or Series B SaaS company with a lean marketing team?
- What is uncertain about Profound's pricing and plan naming for SaaS buyers?
The platforms disagreed most sharply on mid-market suitability. OpenAI and Perplexity rated Profound a good fit for mid-market SaaS on Growth. Anthropic rated it mixed and stated that Growth at $399/month is priced higher than some competitors offering broader LLM coverage, making justification harder for teams below Series B [34]. Anthropic also reported that one source found Profound overpriced for SaaS companies, B2B tech startups, and digital agencies working with SMB clients [36], and that smaller companies will likely find it excessive [37].
Kimi rated Profound uncertain because no retrieved source in its search set mentioned Profound at all; every result discussed competitors such as Pendium, SeenByAI, Strajist, Viali, GrackerAI, Centium, and Aethon AI [38]. Kimi also flagged that the $499/month figure it was given matches GrackerAI's Scale plan, creating possible pricing confusion [45].
Pricing and plan naming are genuinely inconsistent across sources. Most reviews cite Starter at $99/month and Growth at $399/month [46]. Some sources reference a Lite or Standard tier at $499/month [50]. One review reports a roughly $332/month equivalent Growth price [52]. Google reported that the $499 Lite tier was either renamed, phased out, or corrected in active pricing updates [53]. Enterprise pricing is reported by third-party sources at $2,000–$5,000+ per month, with no official confirmation [54].
Multi-brand support is also disputed. Anthropic reported that Profound does not support multi-account management, ruling it out for agencies and SaaS companies working with external partners [56]. Trakkr reported that Profound publicly lists Agency Mode and separate pitch and client workspaces but does not list a fully white-label reporting package [58].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Profound support historical trend tracking and citation export for SaaS prompt monitoring?
- How many answer engines does Profound cover on Growth versus Enterprise for SaaS visibility?
Profound covers the five criteria in this study unevenly: competitive benchmarking, recommendation tracking, and citation analysis are well supported; prompt monitoring is plan-dependent; historical trends are unclear from public materials.
Competitive benchmarking is an advantage. Profound maps competitor share of voice and surfaces prompt-level visibility gaps [59], and its published plan comparison supports competitor-oriented visibility analysis [60].
Recommendation and prompt tracking is an advantage but capacity-limited. Growth includes 100 tracked prompts and three answer engines; Enterprise includes a tailored prompt-tracking plan and up to nine answer engines [60]. Starter is limited to 50 prompts on ChatGPT only [62].
Citation analysis is an advantage. Independent reviews report source and citation analysis [61], and Anthropic reported that Profound uses real user conversation data rather than simulated prompts, which sources indicate produces a more accurate picture of actual citation patterns [64]. The exact citation export, URL-level granularity, and historical retention should be confirmed for the quoted plan [60].
Historical trends and reporting are unclear. Profound is designed for recurring monitoring and reporting, and independent coverage describes visibility metrics such as mentions, position, sentiment, and citations [61]. The public pricing page does not specify retention duration, dashboard history, or report-export limits [60]. Trakkr reported that Enterprise tier supports daily historical tracking and Agent Analytics connecting to CDN for server-side AI-bot log tracking with spoof verification [66].
Answer-engine coverage is tier-gated. Starter is ChatGPT-only; Growth lists ChatGPT, Perplexity, and Google AI Overviews; Enterprise can cover up to nine answer engines [60]. Google reported Enterprise tracks up to 9 or 10 engines [69]. Anthropic reported that Gemini, Claude, and Microsoft Copilot tracking requires Enterprise pricing [70].
Two operational caveats recur. Anthropic reported that Agent Analytics relies on CDN integration such as Cloudflare, creating blind spots for SaaS delivery architectures without CDN dependency [71]. Anthropic also reported that the platform surfaces visibility data but requires existing SEO analysts, writers, and strategists to turn insights into action [73].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Profound cost per month for a SaaS company, and is annual billing required?
- Are there Agent credit overage fees or cancellation terms a SaaS buyer should confirm before signing?
Published entry pricing is $99/month for Starter and $399/month for Growth, both presented as billed yearly, with Enterprise custom-quoted. The official pricing page lists Starter at $99/month billed yearly and Growth at $399/month billed yearly, and states that annual billing includes two months free [77]. Independent sources corroborate those two figures [78].
The $499/month Lite figure is not corroborated. The supplied ranking-stage reference to Profound Lite at $499/month is not consistent with the current public pricing page and should be treated as unverified [77]. Google reported that the $499 Lite tier was either renamed, phased out, or corrected in active pricing updates [83]. One review reports a roughly $332/month equivalent Growth price, illustrating public pricing inconsistency [84].
Enterprise pricing is not public. Third-party reviews in early 2026 put enterprise deployments anywhere from $2,000 to $5,000+ per month [85]. Anthropic reported that Enterprise deployments are sales-gated and that real deployment costs are reported in thousands per month [87]. One source states Profound does not publish public pricing and that its pricing page is demo-led with no plan ladder and no public free trial [88].
Additional fees and contract terms are largely undisclosed. Agent usage is credit-based, and additional credit thresholds require an Enterprise package; overage billing or usage pausing may apply depending on account configuration [77]. Starter and Growth are publicly presented as billed yearly, and cancellation, refund, renewal, notice-period, and Enterprise minimum-term terms are not stated on the public pricing page [77]. Anthropic reported that annual commitment is required for Starter and Growth with no month-to-month option published, that Enterprise contracts reportedly move slowly and rarely come with refunds, and that a seven-day free trial is available [89]. G2 states Profound does not offer a free plan or free trial [90], while one source references a 7-day trial — a discrepancy that may reflect trial tier discontinuation or presentation differences.
Best Suited For
Questions This Section Answers
- Which SaaS companies get the most value from Profound's Growth plan for AI visibility?
- Is Profound best for enterprise SaaS teams with dedicated AEO budgets?
Profound is best suited to mid-market and enterprise SaaS teams with a dedicated owner for AI visibility work. OpenAI's fit assessment lists mid-market SaaS teams with a dedicated product marketing, content, SEO, PR, or AEO owner, companies benchmarking brand and competitor visibility across recurring recommendation and comparison prompts, and multi-brand or governance-heavy organizations needing custom prompt programs, broader engine coverage, support, and enterprise controls [91].
Anthropic's assessment narrows this to enterprise SaaS companies at $100M+ ARR treating AI visibility as a strategic acquisition channel, Fortune 500 brands requiring deep competitive benchmarking and multi-engine tracking, organizations with established AI content teams, and brands that prioritize direct consumer monitoring of AI-generated answers over simulated prompt testing [92].
Google's assessment adds mid-to-large SaaS companies tracking category and product recommendation prompts across multiple LLMs, SaaS growth teams optimizing content gaps based on real-world conversational search volume data, and enterprise brands needing SOC 2 Type II compliance and CDN-level crawler analytics [94]. Perplexity's assessment adds marketing or SEO teams that need citation analysis, prompt monitoring, and historical trend reporting [97].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Profound for AI visibility monitoring?
- Is Profound a poor fit for SaaS teams that need multi-brand or agency-style tracking?
Profound is probably not the best choice for small SaaS teams, buyers needing transparent month-to-month pricing, and organizations requiring multi-brand tracking from one platform.
OpenAI's assessment lists small SaaS teams needing inexpensive, transparent, self-serve monitoring across several answer engines, buyers requiring a published Lite or Growth plan with monthly billing and fully disclosed contract terms, and teams primarily seeking content production or publishing execution rather than visibility measurement [100].
Anthropic's assessment lists Series A–Series C SaaS companies with lean marketing teams and limited AI visibility budgets, agencies or SaaS companies requiring multi-account or multi-brand tracking from a single platform, teams seeking transparent publicly-displayed pricing and month-to-month flexibility, SaaS companies with SaaS-delivery architectures dependent on CDN attribution, and buyers seeking lightweight entry-level monitoring without enterprise rollout complexity [101].
Google's assessment lists early-stage SaaS startups with marketing budgets under $400/month and teams seeking a single unified platform covering both AI search optimization and traditional blue-link SEO [104]. Perplexity's assessment lists very small SaaS teams that only need minimal ChatGPT-only tracking and buyers that require fully verified public pricing, API terms, or contract details before evaluation [106].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Profound for a SaaS buyer with a budget under $400 per month?
- When should a SaaS company choose a bundled SEO and AI visibility platform instead of Profound?
Another option may be better in five recurring situations. Each is drawn from platform-reported alternatives, not from independent testing.
Budget under $400/month. Anthropic reported that lighter platforms such as Otterly, SORN AI ($99–$249/month), or MaxAEO offer daily multi-engine monitoring without enterprise complexity or annual commitments [108]. Google reported that budget-conscious SaaS startups wanting multi-model tracking without paying more than $100–$200/month should consider Peec AI or WorkDuo [110].
Multi-brand or agency use case. Anthropic reported that Rankability, Trakkr, Meev, or other platforms with native multi-account support and white-label reporting eliminate Profound's single-brand constraint [111].
Existing Semrush investment. Anthropic reported that the Semrush AI Visibility add-on at $99/month per domain integrates directly into an established SEO workflow for teams already standardized on Semrush [109].
Hybrid SEO plus AI visibility needs. Anthropic reported that SE Ranking, Conductor, or Rankshift AI bundle traditional SEO monitoring with AI visibility features at lower entry cost [109]. Google reported that buyers wanting to consolidate technical SEO monitoring and AI visibility under one budget should consider SEO Site Checkup or Semrush AIO [113].
Verified tracking needed immediately. Kimi reported that GrackerAI ($99–$499/month, 3–4 engines, weekly-to-daily) or Viali offer documented alternatives, and that Pendium, Strajist, or Aethon AI offer SaaS-specific buyer personas and category prompts [114]. These are vendor-owned claims and were not independently verified in this study.
Questions to Verify Before Buying
The platforms converged on a similar verification list. Buyers should confirm the following in writing before signing.
Which exact answer engines, regions, languages, and prompt frequencies are included in the quoted Growth or Enterprise package [119]. Whether the plan tracks Google AI Overviews separately from Google AI Mode, and whether ChatGPT, Claude, Gemini, Copilot, Grok, and DeepSeek are available individually or only in a bundle [119].
What the citation-analysis fields are: cited URL, domain, source type, position, citation frequency, sentiment, and historical change [119]. How long prompt results and historical trends are retained, and whether data can be exported through CSV, API, or scheduled reports [119].
What the API limits, user seats, workspaces, roles, SSO/SAML scope, and SOC 2 documentation available to the buyer are [119]. Whether pricing is monthly or annual in the proposed contract, and what the renewal, cancellation, refund, minimum-term, and price-increase terms are [119].
How Agent credits are calculated, what the overage rates are, and whether usage can be configured to pause rather than incur overage charges [119]. What methodology, sampling frequency, and confidence information support visibility, position, sentiment, and citation metrics [119].
Whether Profound can connect AI visibility results to the buyer's analytics, CRM, CDN, or hosting data, and what implementation work is required [119]. Whether the buyer's SaaS delivery architecture depends on CDN attribution, since Agent Analytics relies on CDN integration [126].
Whether multi-brand tracking is needed now or after a future acquisition, since Anthropic reported Profound does not support it while Trakkr reported Agency Mode and separate client workspaces are publicly listed [128]. Whether the team has existing SEO analysts, writers, and content operations to operationalize visibility insights [130].
Final AI Consensus Verdict
Profound is a good fit for mid-market and enterprise SaaS companies that need competitive benchmarking, recommendation-prompt monitoring, citation analysis, and recurring multi-engine visibility reporting. Six of seven platforms named it during ranking discovery, and it finished first overall with an average listed rank of 2.5.
The consensus is not unanimous on suitability. OpenAI, Google, and Perplexity rated it a good fit; Anthropic, DeepSeek, and Grok rated it mixed; Kimi rated it uncertain because it could not retrieve verifiable product information. That split reflects a real boundary: Profound's strengths concentrate in the enterprise and upper-mid-market segment, while its entry tier is narrow and its pricing opacity creates friction for smaller buyers.
Growth is the most practical public-plan starting point for a mid-market SaaS buyer. Enterprise is more appropriate for multi-brand, high-volume, API, support, or governance requirements. Buyers should proceed only after verifying the exact engine list, historical retention, citation depth, API and governance scope, and annual contract economics. The $499/month Lite figure that appeared in the ranking stage is not corroborated by the current public pricing page and should be treated as unverified.
How This Review Was Produced
This review synthesizes fit assessments submitted by seven AI platforms for the query: which AI visibility platforms would you recommend for SaaS companies that need competitive benchmarking, recommendation tracking, citation analysis, prompt monitoring, and historical trends. Each platform independently researched Profound and returned a structured assessment covering fit rating, strengths, limitations, pricing, and verification questions.
The study used the run research date of 2026-09-19. Platform-reported research dates differ: DeepSeek reported 2026-01-15, while the other six platforms reported 2026-09-19. Platform-reported dates are provenance metadata and do not independently prove freshness.
Profound was named during ranking discovery by six of the seven platforms. All seven platforms evaluated fit. The ranking statistics in this review count only platforms that named the entity during ranking discovery.
Methodology Limitations
Several limitations apply. 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.
Profound's identity was not fully stable during normalization. The audit flagged conflicting official domains, and one or more official-site retrievals failed. The domain [132] was recovered by web search and retained, but remains unverified as the authoritative company domain [133]. A separate official domain, tryprofound.com, appears in multiple citations [135].
The official fact-source page for this run was unavailable, so no retrieved official-page excerpts were used to confirm pricing or plan details. All pricing claims in this review are platform-reported.
Pricing and plan naming conflict across sources. Starter at $99/month and Growth at $399/month are the most consistently reported figures, but a Lite or Standard tier at $499/month appears in some sources, one review reports a roughly $332/month Growth equivalent, and Enterprise is reported anywhere from $2,000 to $5,000+ per month. These conflicts were not resolved by guessing.
Kimi's assessment is a substantive outlier. Kimi reported that no retrieved source in its search set mentioned Profound, and that the $499/month figure it was given matches a competitor's plan. That finding is preserved rather than averaged away.
Platform agreement in this review reflects convergence among AI-generated assessments. It does not prove product quality, and it does not substitute for a trial, a sales conversation, or independent benchmark testing.
See the broader AI Visibility Platforms for SaaS Companies consensus index for comparisons across qualified options.
Explore more ai visibility llm monitoring guidance in the category directory.
Sources
Company-Owned Sources
- AI Visibility Platform for SaaS & Tech Companies | Aethon AI: https://aiaethon.com/saas-tech/
- AI Visibility Platform | Centium: https://centium.ai/platform
- Right Now, AI Is Telling Your Buyers Who to Buy From. Do You Know What It Says About You? | GrackerAI: https://gracker.ai/ai-visibility
- Know what AI tells your buyers about you. As it happens. | GrackerAI: https://gracker.ai/platform/ai-visibility/monitoring
- AI Visibility for SaaS Companies | Pendium: https://pendium.ai/industry/saas
- Profound — official website: https://profound.com/
- AI Visibility for SaaS Products | SeenByAI: https://seenbyai.co/for-saas
- Strajist AI Visibility for SaaS: https://strajist.ai/ai-visibility-for/saas
- Platform: Discover, Improve, Measure AI Visibility | Viali: https://viali.ai/product/
- Answer Engine Insights: #1 AI Search Visibility Platform: https://www.tryprofound.com/
- Profound vs. Rankability: Which AI visibility platform fits your team?: https://www.tryprofound.com/blog/profound-vs-rankability
- Pricing - Profound: https://www.tryprofound.com/pricing
Additional AI research evidence137 records
- AI research evidence record deepseek:c1
- AI research evidence record grok:c2
- AI research evidence record perplexity:c1
- AI research evidence record grok:c1
- AI research evidence record grok:c3
- AI research evidence record openai:c1
- AI research evidence record anthropic:32-2
- AI research evidence record perplexity:c2
- AI research evidence record google:1.2.6
- AI research evidence record anthropic:34-9
- AI research evidence record anthropic:3-14
- AI research evidence record anthropic:20-14
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:3-13
- AI research evidence record google:1.1.4
- AI research evidence record google:1.1.8
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:27-6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:3-8
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:16-2
- AI research evidence record google:1.1.4
- AI research evidence record google:1.1.8
- AI research evidence record anthropic:13-9
- AI research evidence record anthropic:15-4
- AI research evidence record anthropic:26-7
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:3-15
- AI research evidence record anthropic:20-14
- AI research evidence record google:1.2.4
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:15-13
- AI research evidence record anthropic:15-14
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:13-15
- AI research evidence record kimi:pendium-1
- AI research evidence record kimi:seenbyai-1
- AI research evidence record kimi:strajist-1
- AI research evidence record kimi:viali-1
- AI research evidence record kimi:gracker-1
- AI research evidence record kimi:centium-1
- AI research evidence record kimi:aethon-1
- AI research evidence record kimi:gracker-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:32-2
- AI research evidence record perplexity:c7
- AI research evidence record google:1.2.6
- AI research evidence record perplexity:c13
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c14
- AI research evidence record google:1.3.9
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:15-15
- AI research evidence record anthropic:5-7
- AI research evidence record anthropic:20-27
- AI research evidence record anthropic:3-8
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:3-13
- AI research evidence record anthropic:3-7
- AI research evidence record anthropic:25-1
- AI research evidence record anthropic:20-20
- AI research evidence record anthropic:3-14
- AI research evidence record anthropic:20-14
- AI research evidence record google:1.2.4
- AI research evidence record anthropic:3-15
- AI research evidence record anthropic:15-16
- AI research evidence record anthropic:5-7
- AI research evidence record anthropic:23-7
- AI research evidence record anthropic:23-8
- AI research evidence record anthropic:23-9
- AI research evidence record anthropic:25-3
- AI research evidence record openai:c1
- AI research evidence record anthropic:32-2
- AI research evidence record perplexity:c7
- AI research evidence record google:1.2.6
- AI research evidence record anthropic:34-9
- AI research evidence record deepseek:c1
- AI research evidence record google:1.3.9
- AI research evidence record perplexity:c14
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:32-9
- AI research evidence record anthropic:35-3
- AI research evidence record anthropic:35-4
- AI research evidence record anthropic:30-8
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-9
- AI research evidence record anthropic:16-2
- AI research evidence record google:1.1.6
- AI research evidence record google:1.1.8
- AI research evidence record google:1.4.3
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c6
- AI research evidence record openai:c1
- AI research evidence record anthropic:15-15
- AI research evidence record anthropic:15-16
- AI research evidence record anthropic:5-7
- AI research evidence record google:1.2.4
- AI research evidence record google:1.3.5
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c10
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:5-2
- AI research evidence record google:1.2.6
- AI research evidence record anthropic:15-15
- AI research evidence record anthropic:20-27
- AI research evidence record google:1.3.5
- AI research evidence record kimi:gracker-2
- AI research evidence record kimi:viali-1
- AI research evidence record kimi:pendium-1
- AI research evidence record kimi:strajist-1
- AI research evidence record kimi:aethon-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:3-15
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c10
- AI research evidence record anthropic:30-2
- AI research evidence record anthropic:35-4
- AI research evidence record anthropic:26-7
- AI research evidence record anthropic:15-16
- AI research evidence record anthropic:5-7
- AI research evidence record anthropic:15-15
- AI research evidence record anthropic:20-27
- AI research evidence record anthropic:23-9
- AI research evidence record anthropic:25-3
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record grok:c2
- AI research evidence record openai:c1
- AI research evidence record google:1.4.3
- AI research evidence record anthropic:1-4
Independent Sources
- Profound Pricing 2026: What It Actually Costs: https://arobis.ai/blog/profound-pricing
- Profound AI Review 2026: Worth It for Agencies?: https://arvow.com/blog/profound-ai-review
- Is Profound Good for AI Search Visibility? What the Pricing and Features Show: https://brandarmor.ai/alternatives/is-profound-good-for-ai-search-visibility
- Best AI Visibility Tools for SaaS: Profound, Peec, Scrunch, and Trysight Evaluated | Discovered Labs: https://discoveredlabs.com/blog/best-ai-visibility-tools-saas
- 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 Worth It?: https://dupple.com/learn/profound-review
- 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 Review 2026: Pricing & Is It Worth It? - Geoptie: https://geoptie.com/profound-review-pricing
- Profound Pricing Review 2026: Is It Worth $399/month? - Indexly AI: https://indexly.ai/blog/profound-pricing/
- Profound Pricing and Features 2026 | Social Listening Platforms: https://listeningplatforms.com/platforms/profound/
- Profound Pricing Review August 2026 | Maintouch: https://maintouch.com/blogs/profound-ai-pricing
- Profound AI Review (2026): Features, Pricing, and Top Alternatives: https://meev.ai/reviews/profound
- 11 Best AI Search Visibility Tools For SaaS In 2026: https://nathanojaokomo.com/blog/best-ai-visibility-tools
- 7 AI Visibility Tracking Platforms for SaaS (2026: https://nobori.ai/blog/ai-visibility-tracking-platforms-saas-marketers-2026
- SEO Site Checkup vs Profound: https://seositecheckup.com/blog/seo-site-checkup-vs-profound
- Profound raises $96M at $1B valuation for AI discovery monitoring platform: https://siliconangle.com/2026/02/24/profound-raises-96m-1b-valuation-ai-discovery-monitoring-platform/
- Profound raises $180M to boost brands' visibility in AI services: https://siliconangle.com/2026/09/15/profound-raises-180m-to-boost-brands-visibility-in-ai-services/
- Profound Review: Features, Pricing and Alternative: https://surferseo.com/blog/profound-review/
- Profound Review 2026: Features, Limits and Verdict | Trakkr: https://trakkr.ai/reviews/profound-review
- Peec AI vs Profound vs Unveilr in 2026: An Honest Side-by-Side: https://unveilrai.com/blog/peec-ai-vs-profound-vs-unveilr-review
- Profound AI Pricing (Worth the Investment for GEO in 2026?) - WorkDuo: https://workduo.com/blog/profound-ai-pricing-review
- Profound Review (2026): Pricing, Features, and Is It Worth It?: https://www.aipeekaboo.com/blog/profound-review
- Profound Pricing 2026: https://www.g2.com/products/profound/pricing
- 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
- Profound AI Visibility Metrics Review - Independent Evaluation 2026: https://www.getaiso.com/evaluate-profound-ai-visibility-metrics
- Profound AI review for agencies (2026): is it worth it for client AI visibility? | Rankability Blog: https://www.rankability.com/blog/profound-ai-review/
- Profound review: enterprise AI visibility tracking that reads your server logs: https://www.saasinsight.io/reviews/profound
- Profound AI Review 2026: Strong Data, But Here's the Real Catch: https://www.scalenut.com/blogs/profound-ai-reviews
Additional AI research evidence137 records
- AI research evidence record deepseek:c1
- AI research evidence record grok:c2
- AI research evidence record perplexity:c1
- AI research evidence record grok:c1
- AI research evidence record grok:c3
- AI research evidence record openai:c1
- AI research evidence record anthropic:32-2
- AI research evidence record perplexity:c2
- AI research evidence record google:1.2.6
- AI research evidence record anthropic:34-9
- AI research evidence record anthropic:3-14
- AI research evidence record anthropic:20-14
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:3-13
- AI research evidence record google:1.1.4
- AI research evidence record google:1.1.8
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:27-6
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:3-8
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:16-2
- AI research evidence record google:1.1.4
- AI research evidence record google:1.1.8
- AI research evidence record anthropic:13-9
- AI research evidence record anthropic:15-4
- AI research evidence record anthropic:26-7
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:3-15
- AI research evidence record anthropic:20-14
- AI research evidence record google:1.2.4
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:15-13
- AI research evidence record anthropic:15-14
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:13-15
- AI research evidence record kimi:pendium-1
- AI research evidence record kimi:seenbyai-1
- AI research evidence record kimi:strajist-1
- AI research evidence record kimi:viali-1
- AI research evidence record kimi:gracker-1
- AI research evidence record kimi:centium-1
- AI research evidence record kimi:aethon-1
- AI research evidence record kimi:gracker-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:32-2
- AI research evidence record perplexity:c7
- AI research evidence record google:1.2.6
- AI research evidence record perplexity:c13
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c14
- AI research evidence record google:1.3.9
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:15-15
- AI research evidence record anthropic:5-7
- AI research evidence record anthropic:20-27
- AI research evidence record anthropic:3-8
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:3-13
- AI research evidence record anthropic:3-7
- AI research evidence record anthropic:25-1
- AI research evidence record anthropic:20-20
- AI research evidence record anthropic:3-14
- AI research evidence record anthropic:20-14
- AI research evidence record google:1.2.4
- AI research evidence record anthropic:3-15
- AI research evidence record anthropic:15-16
- AI research evidence record anthropic:5-7
- AI research evidence record anthropic:23-7
- AI research evidence record anthropic:23-8
- AI research evidence record anthropic:23-9
- AI research evidence record anthropic:25-3
- AI research evidence record openai:c1
- AI research evidence record anthropic:32-2
- AI research evidence record perplexity:c7
- AI research evidence record google:1.2.6
- AI research evidence record anthropic:34-9
- AI research evidence record deepseek:c1
- AI research evidence record google:1.3.9
- AI research evidence record perplexity:c14
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:32-9
- AI research evidence record anthropic:35-3
- AI research evidence record anthropic:35-4
- AI research evidence record anthropic:30-8
- AI research evidence record openai:c1
- AI research evidence record anthropic:13-9
- AI research evidence record anthropic:16-2
- AI research evidence record google:1.1.6
- AI research evidence record google:1.1.8
- AI research evidence record google:1.4.3
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c6
- AI research evidence record openai:c1
- AI research evidence record anthropic:15-15
- AI research evidence record anthropic:15-16
- AI research evidence record anthropic:5-7
- AI research evidence record google:1.2.4
- AI research evidence record google:1.3.5
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c10
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:5-2
- AI research evidence record google:1.2.6
- AI research evidence record anthropic:15-15
- AI research evidence record anthropic:20-27
- AI research evidence record google:1.3.5
- AI research evidence record kimi:gracker-2
- AI research evidence record kimi:viali-1
- AI research evidence record kimi:pendium-1
- AI research evidence record kimi:strajist-1
- AI research evidence record kimi:aethon-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:3-15
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c10
- AI research evidence record anthropic:30-2
- AI research evidence record anthropic:35-4
- AI research evidence record anthropic:26-7
- AI research evidence record anthropic:15-16
- AI research evidence record anthropic:5-7
- AI research evidence record anthropic:15-15
- AI research evidence record anthropic:20-27
- AI research evidence record anthropic:23-9
- AI research evidence record anthropic:25-3
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record grok:c2
- AI research evidence record openai:c1
- AI research evidence record google:1.4.3
- AI research evidence record anthropic:1-4
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
- 42
- 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
30 independent · 12 company-owned
Evidence support
32 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 707d5abbd964026c633cd15bd253e0809e23f89bcb3daa73df77bc0e366933d9