Answer Capsule
Profound is a good, not unanimous, fit for GEO Audit Companies. Three of seven platforms named Profound during ranking discovery — DeepSeek (rank 1), Google (rank 2), and OpenAI (rank 6) — giving it a 42.9% share of included platform responses and an average listed rank of 3.0. The strongest reason to consider it is measurement depth: multi-engine citation tracking, prompt-volume data, competitor visibility, and enterprise governance controls [1]. The main limitation is that Profound is an analytics and decision-support platform, not a turnkey audit-and-execution service; independent research also reports limited evidence that GEO optimization produces stable causal visibility gains [4].
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 3 of 7 platforms |
| Share of included platform responses | 42.9% |
| Average listed rank | 3.0 |
| Best listed rank | 1 (DeepSeek) |
| Relevant product/model/plan | Enterprise AEO/GEO Platform and Advisory Services; Profound AI Search Visibility and GEO Analytics Platform (Starter, Growth, Enterprise tiers) |
| Overall use-case fit | Good — strongest as an analytics and decision-support layer for GEO audits; not a complete audit-and-execution service |
| Research date | 2026-09-18 |
Why Profound Qualified for This Study
Questions This Section Answers
- Is Profound a good choice for GEO Audit Companies that need multi-engine AI visibility measurement?
- How many AI platforms named Profound in this GEO audit company ranking, and at what ranks?
Profound qualified because three of the seven included platforms named it during ranking discovery, and it was the only entity in this study to reach final rank 1. DeepSeek placed it first, Google second, and OpenAI sixth [5]. Its platform share of 42.9% means it appeared in fewer than half of the included platform responses, so the ranking evidence is real but not unanimous.
The qualification rests on capability alignment with the audit criteria rather than on ranking volume alone. Profound states that its platform combines AI visibility, traffic analytics, content workflows, technical insights, and Agent Analytics [7]. Independent reviewers describe it as a governance-first GEO analytics platform built for enterprises, regulated industries, and global brands [8]. It also holds a G2 Winter 2026 Leader designation in the AEO category, per independent review coverage [9].
Fit ratings across the seven platforms were split: strong (Anthropic, Google, Grok), good (OpenAI, Perplexity), mixed (DeepSeek), and uncertain (Kimi). That spread is itself a finding — the disagreement is about scope and transparency, not about whether the product measures AI visibility.
The Product, Model, Plan, or Service Most Relevant to GEO Audit Companies
Questions This Section Answers
- Which Profound plan should a GEO audit buyer choose if they need multi-engine coverage rather than ChatGPT-only tracking?
- Is Profound's Enterprise AEO/GEO Platform and Advisory Services enough on its own for a full GEO audit engagement?
The relevant offering is the Profound AI Search Visibility and GEO Analytics Platform, sold as Starter, Growth, and Enterprise tiers, with an Enterprise AEO/GEO Platform and Advisory Services layer on top [10]. For a GEO audit use case, the tier matters more than the brand: Starter is reported as ChatGPT-only, Growth is reported at three engines, and Enterprise is reported as custom-scoped with broader engine coverage [12].
The audit-relevant modules are Answer Engine Insights, Prompt Volumes, Agent Analytics, and citation analysis. Profound describes citation tracking, citation share, publisher analysis, and competitor citation gaps [15], and its help documentation describes citation categories, competitor filtering, and analysis of prompts that return competitor citations but not the buyer's [16]. Prompt tracking covers recommended and custom prompts with visibility score, rank, share of voice, and citation data [17].
One scope caveat is unresolved in the public record. It is unclear whether advisory services, complete site audits, content deployment, and implementation support are included in the recommended Enterprise package or contracted separately [11]. Buyers should treat "Advisory Services" as a scope question, not an assumption.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Profound does well for GEO audit companies?
- Does Profound track citations and competitor visibility across multiple AI answer engines?
Agreement was strongest on measurement capability. Multiple platforms independently described Profound as tracking brand presence and citations across a broad set of AI answer surfaces. Independent review coverage lists 10+ engines including ChatGPT, Claude, Perplexity, Google AI Overviews, Gemini, Copilot, DeepSeek, Grok, Meta AI, and Google AI Mode [19]. Another independent review lists 10+ platforms including ChatGPT, Perplexity, Claude, Gemini, Grok, Copilot, Meta AI, DeepSeek, Google AI Overviews, and ChatGPT Shopping [21].
Platforms also converged on citation and competitor analysis as core strengths. Profound reports competitor mentions, visibility rank, share of voice, co-mentions, and competitive citation comparisons across tracked prompts and platforms [22]. Independent coverage describes Answer Engine Insights as tracking brand GEO performance, share of voice, and how AI represents the brand [24].
A third area of agreement was enterprise governance. Profound is reported as SOC 2 Type II certified and HIPAA compliant, assessed independently by Sensiba LLP, with SSO, role-based access, and daily backups [25]. Independent review coverage separately reports SOC 2 Type II compliance and configurable data residency [26], and Enterprise-tier SSO/SAML, multiple company workspaces, and a dedicated specialist with a 24-hour SLA [27].
Agreement on these three points does not establish that Profound's recommendations improve AI visibility. It establishes that platforms and reviewers describe the same feature set.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why do AI platforms disagree about whether Profound is a strong or uncertain fit for GEO audit companies?
- Is Profound's pricing and contract structure transparent enough for a GEO audit buyer to budget from public information?
Disagreement centered on scope, pricing transparency, and execution. DeepSeek rated fit "mixed" and stated that public information does not confirm pricing, contract terms, or the content, authority, and citation-architecture remediation deliverables a full GEO audit engagement typically requires [28]. Kimi rated fit "uncertain," noting that Profound's site does not clearly distinguish monitoring, auditing, and advisory services, and that no independent reviews of Profound's GEO audit capabilities were found in its searched sources [30].
Pricing is the sharpest conflict. G2 reports a publicly listed Growth price of $399 per month, described as independent marketplace information rather than a verified Enterprise quote [31]. Third-party reviews in early 2026 put Enterprise deployments at $2,000 to $5,000+ per month depending on platform count, seats, and features, and note that Profound does not publish these figures [32]. Other sources report conflicting Starter anchors, including a $99 entry point and references to a $499 "Lite" tier. Enterprise pricing is not publicly stated as a fixed amount in the sources reviewed [34].
Engine gating is also contested. One independent review states that the Enterprise tier tracks up to nine answer engines and is the only place Claude appears [35]. Another states that teams seeking to track Claude visibility cannot do so on any self-serve plan and require a sales conversation and custom contract [36]. A third describes Enterprise as supporting up to nine major answer engines while Growth monitors three [38]. These are consistent on the direction — broader coverage costs more — but not on the exact engine list.
Reliability and usability drew mixed reports. Independent reviews cite a steep learning curve as the most common complaint [39], describe the dashboard as data-heavy and unintuitive [40], and note difficulty exporting data for reports [41]. One review cites serious reliability issues including broken tracking, billing errors, and features not functioning properly [42]. These are platform-reported review findings, not independently verified by this study.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Profound cover first-party content, third-party authority, citation architecture, competitor visibility, source gaps, and prompt opportunities for a GEO audit?
- Can Profound show which AI crawlers visit a site and where technical barriers block AI indexing?
Profound covers the measurement half of the audit criteria well and the remediation half weakly. Against the seven configured criteria:
| Audit criterion | Profound coverage | Evidence |
|---|---|---|
| First-party content | Partial — technical crawlability and content workflows, not content production | |
| Third-party authority | Measurement only — identifies citing publishers, does not build authority | |
| Citation architecture | Advantage — citation categories, publisher analysis, competitor citation gaps | |
| Competitor visibility | Advantage — mentions, visibility rank, share of voice, co-mentions | |
| Source gaps | Advantage — prompts where competitors are cited but the buyer is not | |
| Prompt opportunities | Advantage — recommended and custom prompts, Prompt Volumes | |
| Practical GEO priorities | Neutral — prioritization workflows exist; no validated ranking of which actions work |
Agent Analytics is the most audit-specific technical feature. Independent coverage describes it as log-level tracking of AI bots visiting a site, revealing crawl frequency, blocked resources, and schema markup gaps that affect AI answer quality [43]. The same source reports that Profound surfaces technical issues such as missing structured data or crawl budget problems [44]. Google's platform response adds that Profound connects with CDNs including Cloudflare, Vercel, Fastly, Netlify, CloudFront, and Akamai to analyze server logs [45].
Prompt Volumes is the demand-side input. Profound states that Prompt Volumes is built on 1.9+ billion user prompts — real conversations people are having with answer engines [46]. Independent coverage describes it as built from a panel of real AI conversations rather than search queries or approximations [47], and reports the platform analyzing 10M+ prompts daily and 1B+ citations daily [48]. One independent evaluation reports a directional detection rate of roughly 87%, explicitly labeled directional from a single evaluation rather than an audited benchmark [49].
The execution gap is the consistent limitation. Profound tells you where you stand but does not write your content, repair entity consistency, or build authority [50]. Its Agents generate content briefs, but the brief still requires a human writer, editor, and publisher [51]. Rankability's 2026 agency review is cited as finding the read/write gap the most commonly cited limitation from practitioners [52].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Profound cost per month for a GEO audit, and what do third-party sources say about Enterprise pricing?
- Are there setup, credit, API, or overage fees beyond Profound's listed subscription tiers?
Published self-serve pricing is reported consistently at two anchors, with a custom Enterprise tier above them. Starter is reported at $99 per month, limited to ChatGPT with roughly 50 prompts and one brand [53]. Growth is reported at $399 per month, covering three engines and roughly 100 prompts on a single brand [55]. Annual billing is reported to reduce the effective monthly rate, with one source citing $82.50/month yearly for Starter and $332.50/month yearly for Growth [56].
Enterprise pricing is not published. Third-party reviews in early 2026 put Enterprise deployments at $2,000 to $5,000+ per month depending on platform count, seats, and features [57]. Profound's own pricing page describes plan-dependent features and Agent credit estimates [59], and states that Profound Agents are priced on a credit-based model, with the self-serve Agency Growth plan including 400 credits per month per client workspace and additional credit thresholds requiring an Enterprise package (official:C2).
Additional cost surfaces are unclear. Potential usage, Agent-credit, data-export, API, advisory, implementation, or platform-coverage charges are not resolvable from public materials, and any professional-services or advisory fees are unclear [59]. Enterprise contract duration, renewal, cancellation, implementation commitments, service levels, and annual prepayment terms are also unclear from the sources reviewed [59]. One agency-focused review states that Enterprise contracts move slowly and rarely come with refunds [60].
The per-brand model is the cost trap for agencies. Growth at $399/month is per-brand pricing, and running the math on 10 clients at $399/month each yields $48,000 per year before team payment [61]. Free-trial terms are inconsistent across sources, with some citing 7-day, others 14-day, and some stating no free trial; one independent review states Profound does not offer a free tier but does offer a demo [62].
Best Suited For
Questions This Section Answers
- Which types of companies get the most value from Profound for GEO audit work?
- Is Profound a good fit for regulated industries that need audit trails and compliance controls?
Profound is best suited to enterprise and mid-market organizations that need recurring, measured AI-search visibility rather than a one-time audit deliverable. Enterprise marketing, SEO, content, communications, and digital teams requiring recurring AI-search visibility measurement are the clearest fit [63]. Companies comparing brand and competitor presence across prompts, platforms, citations, sentiment, and share-of-voice metrics also align well [64].
Regulated industries are a specific strength. Independent review coverage describes Profound as suited for regulated industries such as healthcare, finance, and legal where AI misrepresentations could trigger compliance violations [66]. The governance stack supporting that includes SOC 2 Type II and HIPAA compliance verified independently by Sensiba LLP, plus SSO, role-based access, and daily backups [67], and configurable data residency [68].
Organizations with dedicated analytics capacity also fit better than generalist teams. Profound is described as purpose-built for teams with analyst capacity rather than casual users [69]. Buyers who need prompt-volume research, citation-gap discovery, technical crawlability analysis, and reporting integrations round out the core fit profile [70].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Profound for GEO Audit Companies?
- Is Profound a poor fit for agencies managing many clients on tight margins?
Small buyers seeking transparent, low-cost, one-time GEO audits are a poor fit [72]. The Starter tier's ChatGPT-only scope is insufficient for a meaningful multi-engine GEO audit, and real functionality begins at the $399/month Growth tier [73].
Agencies managing multiple clients on tight margins are also a poor fit under the per-brand model. Per-brand pricing at $399/month scales poorly across 10+ clients, reaching $48,000 per year before team costs [75]. One agency-focused review explicitly flags this math as a reason to evaluate lower-cost alternatives [76].
Teams needing fully executed content or technical optimization should look elsewhere. Profound is monitoring- and brief-focused rather than end-to-end execution [77]. Growth-stage B2B SaaS with one content owner managing GEO, SEO, and demand simultaneously without a dedicated analyst is also a weak fit [79].
Buyers requiring guaranteed rankings, guaranteed recommendations, or independently proven revenue impact should not select Profound on that basis. Independent academic work characterizes GEO as a stochastic, partially observable process and reports limited evidence for stable causal effects of optimization on discoverability or downstream behavior [80]. Profound also lacks direct revenue attribution to AI search traffic without a separate GA4 connector, so CMO-level ROI justification requires external tools [81].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Profound for a buyer who needs a fixed-price, one-time GEO audit?
- When is a lower-cost GEO audit tool or an agency better than Profound?
A fixed-price, one-time audit is the clearest alternative scenario. Competitors offer fixed pricing from $99 with explicit 4–5 AI platform coverage and tiered deliverables [83], one-time fees from $97 with peer-reviewed methodology, prioritized fix lists, and schema templates [84], and fixed-price self-serve audits with 10–30 custom prompts across 3–5 AI engines [85]. Buyers who need a published, fixed-price GEO audit may be better served by a vendor with transparent audit packages [86].
Budget-constrained buyers should compare entry points. A competitor is positioned as better for low-budget buyers needing autonomous AI agents for localized rank tracking across 50+ countries starting at $29/month [87]. Lower-cost specialist or broader SEO platforms may be preferable when the buyer needs basic AI visibility tracking with transparent self-serve pricing [88].
Authority-building and execution needs point to different vendors. An agency or digital-PR provider is the better choice when the primary need is building third-party authority, reviews, publisher coverage, or link and mention acquisition [88]. A technical SEO and content platform is better when traditional crawl, structured-data, content optimization, and search-performance workflows matter more than cross-model answer monitoring [88].
Agency economics favor alternatives too. Rankability at $99/month is reported to cover unlimited clients across 9 platforms, and Scrunch and Peec are described as offering agency-focused pricing and white-label capabilities [89]. Buyers who need GEO audit plus executed content production may prefer platforms that bundle visibility with content workflows [89].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Profound before signing an Enterprise GEO audit contract?
- How should a buyer validate Profound's prompt methodology, engine coverage, and data export terms before purchase?
The verification list below consolidates the open items across platforms. Each item is unresolved in the public record and should be answered in writing before commitment.
- Which AI platforms, regions, languages, models, and answer types are included in the quoted Enterprise package [90]?
- How are prompts generated, sampled, deduplicated, localized, refreshed, and weighted [90]?
- How many prompts, brands, competitors, domains, users, exports, API calls, and Agent runs are included [90]?
- Does the audit include first-party technical crawlability, structured data, entity consistency, and content-gap analysis, or only answer and citation monitoring [90]?
- How are third-party authority gaps identified, and does Profound provide or execute digital PR, review, publisher, or content remediation [90]?
- What evidence supports the platform's claimed prioritization recommendations, and how are false positives and model variability handled [90]?
- What are the Enterprise price, minimum term, renewal, cancellation, implementation, advisory, API, export, and overage fees [90]?
- What data-retention, privacy, security, SSO, role-based-access, and contractual terms apply [90]?
- Can the buyer export raw prompts, responses, citations, timestamps, and historical data if the contract ends [90]?
- What service-level commitments and support model apply to Enterprise customers [90]?
- Is Claude tracking available self-serve or Enterprise-only, and which engines are included at each tier [91]?
- How are Agent content generation credits metered, and what is typical monthly spend for a mid-market deployment (official:C2)?
- What is the onboarding timeline for Enterprise deployment, and is implementation support included or self-service [93]?
- What uptime SLA, incident response time, and post-incident reporting apply for audit compliance [94]?
- How frequently is the Prompt Volumes dataset updated, and how do prompts map to the buyer's specific category [95]?
- What data export formats and report customization are available without manual redesign [97]?
Final AI Consensus Verdict
Profound is a good fit for GEO Audit Companies when the engagement is measurement-led and the buyer has analyst capacity and budget for at least the Growth tier. It is the strongest entity in this study on citation architecture, competitor visibility, source gaps, and prompt opportunities, and it is the only entity that reached final rank 1. Its governance stack — SOC 2 Type II, HIPAA, SSO/SAML, role-based access, configurable data residency — is a genuine differentiator for regulated buyers [98].
It is not a complete GEO audit service. The read/write gap is the most consistently reported limitation: Profound identifies issues and generates briefs but does not write, publish, or optimize content [100]. Enterprise pricing is not published, third-party estimates range from $2,000 to $5,000+ per month, and contract, renewal, and refund terms are unclear [102]. Independent academic work also cautions that GEO effects are not established as stable or causal [105].
The practical verdict: buy Profound as the analytics and decision-support layer of a GEO audit program, supplement it with independent authority-building, technical SEO, content, and digital-PR capability, and require a detailed Enterprise scope, methodology, coverage, pricing, and data-export commitment before signing. Buyers who need a fixed-price, one-time audit should compare fixed-price audit vendors first.
For the full ranking of providers evaluated against this use case, see the GEO Audit Companies consensus index.
This review sits within the broader ai search audits market intelligence category.
How This Review Was Produced
This review was produced from seven platform fit-research responses collected for the GEO Audit Companies use case, using the run research date of 2026-09-18. Each platform independently evaluated Profound against the configured criteria: first-party content, third-party authority, citation architecture, competitor visibility, source gaps, prompt opportunities, and practical GEO priorities.
Ranking statistics reflect only platforms that named Profound during ranking discovery. Fit ratings, strengths, limitations, pricing details, and verification questions were drawn from the platform responses and their cited sources. Company-owned sources are identified as owned; independent reviews, journalism, directories, and academic work are identified as independent. No personal testing, customer interviews, or independent verification of vendor claims was performed.
Methodology Limitations
Several limitations apply. Platform-reported research dates differ from the authoritative run date: DeepSeek's response is dated 2026-01-15 while the run research date is 2026-09-18, so DeepSeek's findings may be stale relative to the other six platforms. Platform-reported dates are provenance metadata and do not independently prove freshness.
Only three of seven platforms named Profound during ranking discovery, so the ranking evidence covers 42.9% of included platform responses. The remaining four platforms evaluated fit without naming Profound in the ranking stage, and their fit ratings are included in the consensus spread.
Public sources conflict on plan names, platform coverage, and pricing, and the official pricing page and third-party listings should not be treated as interchangeable [106]. The official site promotes broad platform capabilities while independent reviews provide limited methodology and outcome validation [107]. The meaning and comparability of visibility score, citation share, share of voice, sentiment, and prompt volume may vary by platform and sampling method [109]. It is unclear whether advisory services, complete site audits, content deployment, and implementation support are included in the recommended Enterprise package or separately contracted [107]. No independently verified customer outcome evidence was established for the specific GEO audit use case.
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. Claims from platforms without retrieved citations are labeled platform-reported. AI-platform agreement on a feature set does not prove product quality or performance.
Sources
Company-Owned Sources
- GEO Audit | Fixed-Price AI Visibility Audits From $99: https://generativeengineoptimization.solutions/geo-audit/
- GEO Audit Services — AI Search Visibility Audit | GeoAudit Lab: https://geoauditlab.com/
- GEO Audit Plans — AI Visibility Score | GEORaiser: https://georaiser.com/geo-audit
- Interpret Answer Engine Insights v2: https://help.tryprofound.com/articles/5194011335
- Profound AI Review: Is It Worth The Investment for GEO?: https://writesonic.com/blog/profound-review
- Looking for a Profound Alternative? Here's What to Consider | MeetGEO Blog: https://www.meetgeo.ai/blog/profound-alternative-geo-platform
- Profound — AI Search Visibility Platform: https://www.tryprofound.com
- Best generative engine optimization (GEO) tools for AI search in 2026: https://www.tryprofound.com/blog/best-generative-engine-optimization-tools
- Introducing the Profound Index: https://www.tryprofound.com/blog/introducing-the-profound-index
- The Complete AEO Platform: https://www.tryprofound.com/features
- Answer Engine Insights: #1 AI Search Visibility Platform - Profound: https://www.tryprofound.com/features/answer-engine-insights
- AI Citation Analysis Tool for AEO: https://www.tryprofound.com/features/answer-engine-insights/citations
- Comprehensive Prompt Tracking Tool for AI Search Performance: https://www.tryprofound.com/features/answer-engine-insights/prompt-tracking
- Pricing: https://www.tryprofound.com/pricing
Additional AI research evidence109 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:22-5
- AI research evidence record anthropic:21-6
- AI research evidence record openai:c8
- AI research evidence record deepseek:c1
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:22-2
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:38-3
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:22-5
- AI research evidence record anthropic:22-6
- AI research evidence record anthropic:11-3
- AI research evidence record openai:c3
- AI research evidence record openai:c6
- AI research evidence record anthropic:22-7
- AI research evidence record anthropic:21-6
- AI research evidence record anthropic:1-6
- AI research evidence record anthropic:6-12
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record kimi:profound_site_2026
- AI research evidence record openai:c7
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:10-9
- AI research evidence record openai:c5
- AI research evidence record anthropic:6-8
- AI research evidence record anthropic:36-3
- AI research evidence record anthropic:36-4
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:39-10
- AI research evidence record anthropic:39-2
- AI research evidence record anthropic:39-14
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:1-5
- AI research evidence record google:1.1.9
- AI research evidence record anthropic:21-14
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:33-7
- AI research evidence record grok:web:5
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:46-5
- AI research evidence record anthropic:46-1
- AI research evidence record anthropic:38-2
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:38-3
- AI research evidence record grok:web:0
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:10-9
- AI research evidence record openai:c5
- AI research evidence record anthropic:29-5
- AI research evidence record anthropic:2-25
- AI research evidence record anthropic:4-7
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c6
- AI research evidence record anthropic:5-7
- AI research evidence record anthropic:21-6
- AI research evidence record anthropic:1-6
- AI research evidence record anthropic:39-9
- AI research evidence record openai:c4
- AI research evidence record anthropic:1-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:38-3
- AI research evidence record anthropic:2-25
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:46-4
- AI research evidence record anthropic:46-6
- AI research evidence record openai:c8
- AI research evidence record anthropic:17-5
- AI research evidence record anthropic:17-8
- AI research evidence record kimi:geoauditlab_2026
- AI research evidence record kimi:georaiser_2026
- AI research evidence record kimi:geo_solutions_2026
- AI research evidence record deepseek:c1
- AI research evidence record google:1.1.3
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-25
- AI research evidence record openai:c5
- AI research evidence record anthropic:36-3
- AI research evidence record anthropic:36-4
- AI research evidence record anthropic:29-5
- AI research evidence record anthropic:39-14
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:33-7
- AI research evidence record anthropic:39-2
- AI research evidence record anthropic:21-6
- AI research evidence record anthropic:1-6
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:46-5
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:29-5
- AI research evidence record openai:c5
- AI research evidence record openai:c8
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record anthropic:39-14
- AI research evidence record openai:c6
Independent Sources
- The 8 Best GEO Tools for Agencies - Alex Birkett: https://alexbirkett.com/geo-tools-for-agencies/
- GEO: Generative Engine Optimization: https://arxiv.org/abs/2311.09735
- Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization: https://arxiv.org/abs/2607.14035
- Profound Review (2026): The Enterprise GEO Platform, Honestly: https://citedaily.com/reviews/profound
- 11 Best GEO Tools in 2026: We Tested & Ranked Them: https://geoptie.com/blog/best-geo-tools
- Profound Review 2026: Pricing & Is It Worth It? - Geoptie: https://geoptie.com/blog/profound-review
- Profound Review: is it worth it in 2026?: https://getairefs.com/blog/profound-review/
- Profound Review 2026: Does This Enterprise GEO Platform Deliver? - GetMint: https://getmint.ai/resources/profound-review
- Profound Review 2026: Best Enterprise GEO Governance: https://jingrey.com/tools/Profound/
- From SEO to GEO: How Profound Helps Companies Stay Visible in AI Search - Comcast NBCUniversal LIFT Labs: https://lift.comcast.com/from-seo-to-geo-how-profound-helps-companies-stay-visible-in-ai-search/
- Best Generative Engine Optimization (GEO) Tools 2026: https://nicklafferty.com/blog/best-generative-engine-optimization-tools-2025/
- Evertune vs Profound: Which GEO Platform Delivers Results in 2026?: https://nicklafferty.com/blog/profound-vs-evertune/
- Search Engine Land — AI search visibility and GEO tools coverage: https://searchengineland.com/
- Tracking AI citations: Profound vs manual prompt audits: https://techmarketing.agency/blog/profound-vs-manual-audits/
- Profound raised $180m at a $1.8bn valuation to sell brands visibility in AI answers: https://thenextweb.com/news/profound-180m-series-d-ai-answer-engine-optimisation
- Profound GEO: What It Actually Does, What It Costs, and Where It Really Stands: https://trygeohero.com/blog/comparisons/profound-geo
- Ahrefs vs Profound vs RadarKit: Best Agency AEO Platform in 2026?: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE6_hcbACbN23pbWdkh6pjeXjrv6Omqbx1Zm_cKwY8heVSQ_ctnH_-Dw9gOLIT9wxR6rZJjliYXAy1Wdwhs7NRotP-o8U2pyU9aarf4EPA_KZotH6YpdhQ3NUAIn0FLzw==
- AIVisibility vs Profound: AI visibility tools compared: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEQ3lMfJrkzPNjxeLyPPWzNs2xYi1WEhuoP_spQdE78lyMsqT5sd4CB1RjCCiIKlkoj3Rzj4dWecwHTBAkZXuaxltBNXnUEblPoNz_GzZYpktxILaAmA0NBukH7Lnr-dmy-uS29-nXJ3L__q6Ne_w==
- G2, Profound Partner to Power AEO, AI Search B2B Marketing Strategies: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFApLDxKm7nQ1h3CGyqSP5SP-S86oR7aT-trm18X79vwa5SzLBo-Pl5RYWIosjc5kOY0hT8ZhnfgR6a_Bz4XO72TbGL5Pl-LCEHtsR00K8QVQKtK6k99fQupgnioAsVtxdvmQVJBIq1N4QswtpCtuN7mMAyR8drYAKdi2KayLO8tnV6xCs_EtGEWeiZF7PS6Vi47EfQOQAF2YPNZz0gsUTq_kemL-88mG9if5LFgEMPlmX56Dmw9mb4RYA=
- Searchable vs Profound (2026): Which AI Search Visibility Platform Wins?: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGfO5NsRiy_x3jDTDJBGduOn8N25iW7_O8LhcmHdQTkGHFpF9MW75nYOjEDOqULlIF5gGJdCgTuAQVAPt3_3pa1ybS7RbPVXYxhg4VObGrXK8f8HzdLpId2Vk69vimg8g==
- Profound Review: Is It the Best AEO/GEO Platform for AI Search in 2025?: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHdDxizvx3xkCeVb2IL_7nKr_voijTQ7xiXzU8cfNdP65cirUq8n9TZ1cDx4WeS3YZ30ujJNPtOym05negZeP8a3lOlBeKPSNbgX-izlnRG-0WC2mRJkj4a7VHcgqVCXlZ5cYG3LHlpYlQ5TL0K_-PDF1uDwU4jQ4PKhO0ywRxtNI3qa0g=
- Profound vs Otterly AI: Pricing and Features Compared (2026) - friction AI: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHj0exDkTtw-YTHw95LpTXRdx6pBcVAYoenQlrFLV_Ec0tJ39gpJuycoqLeibaq_bKwvcSWsMdrVY85kKkwAa3mzlS_bU4H_hlSIP70ezEzRFQo43SAlPQTvvi9PpBTWZLoX66ldpKcM5vQ4qPKi5jTF3S2n9-BC4oVllX-im7oDev4T-85
- Has anybody used this AI tool named profound?? : r/GrowthHacking - Reddit: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHzwsZWzqfHAKNbgBKsqiTrWrpp6sPAmAKrm03v87gdaRRPQThuHaXQeg3XadGJRwRbQG_QMIXxFECDV_2wS7SFg8Oeh52ZpvmR0B8uUwqstJsuKzXsNoHDte25STFa4NSttleOVj4NqnbNsxGQujtuP19PQVTCxHiMxuevRJr-yY5Hj6m7EqU67uQGi9jxDGCWbz6ceQ6dJVt54g==
- Profound AI review: GEO tool tested | Customer Impact: https://www.customerimpact.be/en/blog/profound-review/
- Profound Pricing 2026: https://www.g2.com/products/profound/pricing
- Profound AI Visibility Metrics Review - Independent Evaluation 2026: https://www.getaiso.com/evaluate-profound-ai-visibility-metrics
- Profound Review 2026: Does This Enterprise GEO Platform Deliver?: https://www.getmint.ai/blog/profound-review
- Profound GEO: What It Does Well and Where It Falls Short | Gofylo: https://www.gofylo.io/blog/profound-geo-what-it-does-well-and-where-it-falls-short
- 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: AI Answer Monitoring — AEO Encyclopedia: https://www.searchforged.com/aeo-encyclopedia/tools/profound-ai-tool
- Best GEO Audit Tools for AI Visibility (2026: https://www.therankmasters.com/insights/ai-visibility/best-geo-audit-ai-visibility-tools
- Profound AI Review 2026: Limits, Pricing & Results - Analyze AI: https://www.tryanalyze.ai/blog/profound-ai-review
- Profound Review (2026): Is It Worth It for Enterprise AEO? | Vismore: https://www.vismore.ai/blog/profound-review
Additional AI research evidence109 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:22-5
- AI research evidence record anthropic:21-6
- AI research evidence record openai:c8
- AI research evidence record deepseek:c1
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:22-2
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:38-3
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:22-5
- AI research evidence record anthropic:22-6
- AI research evidence record anthropic:11-3
- AI research evidence record openai:c3
- AI research evidence record openai:c6
- AI research evidence record anthropic:22-7
- AI research evidence record anthropic:21-6
- AI research evidence record anthropic:1-6
- AI research evidence record anthropic:6-12
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record kimi:profound_site_2026
- AI research evidence record openai:c7
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:10-9
- AI research evidence record openai:c5
- AI research evidence record anthropic:6-8
- AI research evidence record anthropic:36-3
- AI research evidence record anthropic:36-4
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:39-10
- AI research evidence record anthropic:39-2
- AI research evidence record anthropic:39-14
- AI research evidence record anthropic:1-2
- AI research evidence record anthropic:1-5
- AI research evidence record google:1.1.9
- AI research evidence record anthropic:21-14
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:33-7
- AI research evidence record grok:web:5
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:46-5
- AI research evidence record anthropic:46-1
- AI research evidence record anthropic:38-2
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:38-3
- AI research evidence record grok:web:0
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:10-9
- AI research evidence record openai:c5
- AI research evidence record anthropic:29-5
- AI research evidence record anthropic:2-25
- AI research evidence record anthropic:4-7
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c6
- AI research evidence record anthropic:5-7
- AI research evidence record anthropic:21-6
- AI research evidence record anthropic:1-6
- AI research evidence record anthropic:39-9
- AI research evidence record openai:c4
- AI research evidence record anthropic:1-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:38-2
- AI research evidence record anthropic:38-3
- AI research evidence record anthropic:2-25
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:46-4
- AI research evidence record anthropic:46-6
- AI research evidence record openai:c8
- AI research evidence record anthropic:17-5
- AI research evidence record anthropic:17-8
- AI research evidence record kimi:geoauditlab_2026
- AI research evidence record kimi:georaiser_2026
- AI research evidence record kimi:geo_solutions_2026
- AI research evidence record deepseek:c1
- AI research evidence record google:1.1.3
- AI research evidence record openai:c1
- AI research evidence record anthropic:2-25
- AI research evidence record openai:c5
- AI research evidence record anthropic:36-3
- AI research evidence record anthropic:36-4
- AI research evidence record anthropic:29-5
- AI research evidence record anthropic:39-14
- AI research evidence record anthropic:33-6
- AI research evidence record anthropic:33-7
- AI research evidence record anthropic:39-2
- AI research evidence record anthropic:21-6
- AI research evidence record anthropic:1-6
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:46-5
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:29-5
- AI research evidence record openai:c5
- AI research evidence record openai:c8
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record anthropic:39-14
- AI research evidence record openai:c6
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
- 3 of 7
- Platform share
- 43%
- Final consensus rank
- #1
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
33 independent · 14 company-owned
Evidence support
38 direct · 8 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 8ac1dfe4ab4d6e326ace1d80840937310d3eb07e52474898d25dadd852d1230e