Answer Capsule
Profound is a plausible but not fully verified fit for AI SEO Tools for Citation Architecture Content Strategy. Five of the seven platforms in this study named Profound during the ranking stage, and it finished first overall with an average listed rank of 1.4. The strongest reason to consider it is its citation-focused feature set: citation categories, source clusters, competitor citation comparison, prompt-volume data, and AI-crawler analytics map directly to citation-architecture planning [1]. The main limitation is unresolved vendor identity: the supplied official domain, profound.com, describes a market-research service, while the AEO product evidence and pricing sit on tryprofound.com [5]. Independent proof that Profound increases AI citations is also absent.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 5 of 7 platforms named Profound (deepseek, google, grok, openai, perplexity) |
| Share of included platform responses | 71.4% (5 of 7) |
| Average listed rank | 1.4 |
| Best listed rank | 1 |
| Relevant product/model/plan | Profound Growth plan (reported at $399/month billed yearly) and Enterprise plan (custom pricing) for Answer Engine Insights, citation analysis, prompt tracking, and Profound Agents |
| Overall use-case fit | Mixed to good: strong citation-architecture functionality reported, but identity, pricing, and outcome evidence are unresolved |
| Research date | 2026-09-19 |
Why Profound Qualified for This Study
Questions This Section Answers
- Is Profound a good choice for AI SEO Tools for Citation Architecture Content Strategy?
- Why did multiple AI platforms include Profound in this citation architecture ranking?
Profound qualified because five of the seven platforms in this study named it during ranking discovery, and it placed first on four of those five lists (deepseek, grok, openai, perplexity) and third on Google's. That is the strongest ranking-stage signal in this study, but it is a discovery signal, not proof of product quality.
The qualification rests on category relevance rather than verified performance. Profound positions itself in the AI search and AI-answer visibility category [8], and its published materials describe citation tracking, source categorization, and content strategy features that match the citation-architecture use case [9]. Google's research called it a well-funded AI visibility platform used by Fortune 500 companies, with self-serve tiers at $99 and $399 per month [11].
Two caveats belong here. First, the deterministic identity audit found conflicting official domains and used an exact-name fallback, so the Profound identity tied to profound.com remains unverified [8]. Second, one platform, Kimi, could not confirm that an AI SEO platform named Profound exists at the claimed domain at all [12].
The Product, Model, Plan, or Service Most Relevant to AI SEO Tools for Citation Architecture Content Strategy
Questions This Section Answers
- Which Profound plan should a buyer choose for multi-engine citation architecture work?
- Does Profound's Starter plan cover enough AI engines for citation architecture content strategy?
The relevant offering is the Profound AEO platform, and the practical entry point for citation-architecture work is the Growth plan, not Starter. Starter is reported at $99/month billed yearly with ChatGPT tracking only and 50 prompts, while Growth is reported at $399/month billed yearly with three answer engines and 100 tracked prompts [13]. Enterprise is custom-priced and adds broader engine coverage, API access, and multi-company tracking [13].
The feature set that matters for this use case includes Citation Categories for classifying cited domains, source clusters that group cited sources sharing mentions for a topic and platform, query fan-out analysis, citation-gap workflows, and Profound Agents for research and structured drafts [17]. Agent Analytics connects to a CDN and reads server logs to show which AI bots visit which pages, including GPTBot, PerplexityBot, ClaudeBot, and GoogleOther [20].
Platforms named slightly different plan framings. OpenAI and Anthropic pointed to Growth or Enterprise; Google and Grok recommended Enterprise or Growth; Perplexity said Growth for smaller teams and Enterprise for multi-brand or governance-heavy programs [13]. Buyers should treat the plan names as reported, not confirmed.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Profound does well for citation architecture content strategy?
- Does Profound track which sources and competitors influence AI answers?
The clearest agreement is that Profound's citation and source-analysis features are directly relevant to citation-architecture planning. OpenAI, Anthropic, Google, Grok, and Perplexity all described citation tracking, source categorization, or competitor citation comparison in similar terms [24].
Platforms also converged on three supporting points. First, Profound reports real user prompt data: its Prompt Volumes feature draws on 1.5+ billion real conversations broken down by intent, region, and demographics [29]. Second, it reports AI-crawler visibility through server-side log analysis [31]. Third, it reports a content workflow that moves from citation gaps to briefs and drafts [32].
A fourth area of agreement is limitation, not strength: multiple platforms independently reported that meaningful multi-engine coverage requires Growth or Enterprise, not Starter [34]. Agreement among AI platforms reflects shared source material, not verified product performance.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Is Profound's vendor identity verified, and does that matter before buying?
- Do AI platforms disagree about whether Profound is a strong or uncertain fit?
Fit ratings diverged sharply. Google and Grok rated Profound a strong fit; Anthropic and Perplexity rated it good; OpenAI, DeepSeek, and Kimi rated it uncertain [37]. The split tracks evidence quality more than feature descriptions.
The identity conflict is the largest unresolved issue. The supplied official website, profound.com, describes a market-research and search-and-discovery service, not an AEO platform [41]. The AEO product evidence and pricing are hosted on tryprofound.com [44]. DeepSeek and Kimi both flagged the domain conflict as unresolved [42].
Other disagreements and gaps:
- Engine coverage: OpenAI reported three answer engines on Growth and up to nine on Enterprise, while Anthropic reported 10+ engines tracked and Google reported up to 9 or 10 on Enterprise [44]. Exact current coverage is unclear.
- Enterprise pricing: Google reported Enterprise starting around $3,000/month based on market reports, while Anthropic cited third-party estimates of $2,000–$5,000+/month [46]. Neither is official.
- Free trial: Google reported a limited free Trial tier with 10 prompts run once on ChatGPT, while Anthropic stated there is no free trial [45].
- Multi-brand support: Anthropic reported one workspace per account with no consolidated multi-brand dashboard, calling it a structural blocker for agencies [47].
- Outcome evidence: no platform supplied a controlled, causal demonstration that using Profound increases AI citations or recommendations [41].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Which Profound features support citation architecture content strategy specifically?
- Can Profound show which first-party pages AI crawlers actually visit?
For this use case, Profound's reported capabilities cluster into four areas that map onto the buyer's stated needs.
First-party asset decisions. Agent Analytics connects to CDNs including Cloudflare, Akamai, Fastly, AWS CloudFront, Google Cloud CDN, and Netlify, reads server logs, and identifies which AI bots visit which pages [49]. This addresses which first-party assets exist and whether they are being accessed.
Authoritative supporting topics. Query fan-out analysis exposes sub-queries behind tracked prompts, and Prompt Volumes draws on 1.5+ billion real conversations segmented by intent, region, and demographics [51]. This supports topic prioritization.
Third-party corroboration. Citation Categories classify cited domains, and clusters group cited sources sharing mentions for a topic and platform [53]. Grok reported categories covering Owned, Competitor, Earned Media, PR Wire, Social, and Institution, with custom categories supported [55].
Competitor source influence. The Citations dashboard reports which answer engines cite content, how often, and across which prompts, plus competitor citation share [56].
Profound also reports content-format guidance grounded in citation patterns: direct-answer pages, "best X for Y" listicles, and comparison pages [58]. Independent reviewers described the platform as monitoring-first, with a basic content generator rather than a full execution suite [59]. One neutral finding: Profound's citation data shows which domains and pages are cited but does not natively map entity relationships between cited sources [60].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Profound cost per month, and is annual billing required?
- What extra fees should a buyer expect beyond Profound's listed subscription price?
Reported self-serve pricing is consistent across several sources: Starter at $99/month billed yearly and Growth at $399/month billed yearly, with Enterprise custom-priced [61]. The public pricing page states annual billing provides two months free and that Agent usage is credit-based [61].
Known limits by tier, as reported: Starter includes 100 Agent credits per month and ChatGPT tracking only; Growth includes 400 Agent credits per month, three answer engines, and 100 tracked prompts; Enterprise adds up to nine answer engines, multiple companies, and enterprise support [61].
Additional and unclear costs:
- Agent credits are consumed when Agents run; higher thresholds require an Enterprise package according to the pricing page [61].
- Agency client workspaces are reported at $399/month per workspace, with pitch workspaces at $10/month [67].
- Implementation, integration, professional-services, and overage fees are not publicly stated [61].
- Enterprise pricing is undisclosed; third-party estimates of roughly $3,000/month or $2,000–$5,000+/month are not official [68].
Contract terms are thin. The public page indicates annual billing for displayed self-serve prices but does not clearly state cancellation, refund, renewal, or minimum-commitment terms, and Enterprise contract duration, seat limits, service levels, and data-retention terms are unclear [61]. One independent source noted Profound lacks SOC 2 Type II certification as of mid-2026, with no recent official confirmation or denial [69]. Pricing confidence is moderate, and the research date is September 19, 2026, so plan limits may have changed.
Best Suited For
Questions This Section Answers
- Who gets the most value from Profound for citation architecture content strategy?
- Is Profound best for enterprise teams or smaller content programs?
Profound is best suited to enterprise and well-resourced mid-market teams running single-brand citation programs. Anthropic described the best fit as large enterprise brands with dedicated teams, analyst capacity, and multi-year budgets, and reported the platform is trusted by more than 2,000 marketers across 500+ enterprise companies, including over 10% of Fortune 500 companies [70].
Specific fits reported across platforms:
- Teams needing measured visibility across ChatGPT, Perplexity, and Google AI Overviews, with more engines on Enterprise [72].
- Content strategy teams that need prompt and answer-engine insights plus citation-oriented opportunity discovery [74].
- Organizations building a repeatable loop from prompt gaps to supporting content to AI-crawler monitoring [75].
- Enterprise or multi-brand programs that want SSO, API access, and governance controls, which Perplexity reported as Enterprise-tier capabilities [74].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Profound for citation architecture content strategy?
- Is Profound a poor fit for agencies managing multiple client brands?
Several buyer profiles are reported as poor fits. Small teams and startups with limited budgets are repeatedly flagged, with Anthropic noting alternatives such as Otterly.ai at $29/month and Trakkr at $100–$500/month [78].
Agencies and holding companies face a structural limit: Profound is reported to support one workspace per account, with no consolidated dashboard or rolled-up reporting, and multiple independent reviewers flagged this as a hard limit for teams running more than one brand [79].
Other reported mismatches:
- Buyers needing broad coverage of every major AI platform, because public plan materials list limited engine coverage by tier [81].
- Teams seeking plug-and-play execution, since independent reviewers describe Profound as monitoring-first without technical SEO, page optimization, or comprehensive content workflows [83].
- Buyers prioritizing ease of use, because the most common complaint reported is a steep learning curve [85].
- Organizations needing AI-citation-to-revenue attribution, which is described as a structural gap [78].
- Buyers who require the supplied profound.com domain to be the verified vendor identity [86].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Profound for a buyer who needs multi-brand agency reporting?
- When is a lower-cost or more transparent AI visibility tool a better choice than Profound?
Alternatives are better in several reported situations. For small teams under 20 people with limited budget, Anthropic named Otterly.ai at $29/month, Trakkr at $100–$500/month with a free trial, and HubSpot AEO at $50/month for 25 prompts on three engines [88].
For agencies managing three or more client brands, Anthropic reported that Profound's one-workspace-per-account model is a blocker and suggested Trakkr or Analyze AI for multi-account management [88]. For buyers needing broader engine coverage on a single-brand enterprise plan, Growth caps at three engines and only Enterprise unlocks broader tracking [88].
Other reported alternatives:
- Integrated content platforms such as Scalenut, Semrush AI, or Surfer SEO for unified creation, technical SEO, and GEO optimization [88].
- Lower-cost multi-engine tracking such as WorkDuo, reported to start at $33/month [91].
- All-in-one agency tools such as Rankability or RankCite [91].
- Specialized digital-PR, review, community, or knowledge-graph programs when the goal is creating third-party corroboration rather than measuring it [93].
- Traditional enterprise SEO platforms when the primary need is keyword research, technical crawling, backlink management, or editorial workflow [93].
Kimi recommended prioritizing platforms with documented capabilities and transparent pricing, naming Cited, CitationBench, Citingly, and CiteAgent, though those recommendations come from a platform that could not verify Profound's identity [94].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Profound before signing a contract?
- How can a buyer verify Profound's engine coverage and citation methodology before purchase?
The platforms converged on a similar verification list. Buyers should confirm:
- Whether profound.com and tryprofound.com are operated by the same legal vendor, and which entity appears on the contract and invoice [96].
- Which exact answer engines, model versions, regions, languages, and search modes are included on the purchase date [99].
- How prompts are sampled, refreshed, localized, deduplicated, and evaluated across volatile AI responses [99].
- Whether the plan includes citation URLs, page-level source data, citation categories, clusters, competitor comparisons, exports, API access, and historical retention [99].
- The exact Agent-credit consumption rules, overage prices, monthly caps, and unused-credit rollover terms [99].
- Whether Profound can identify third-party citation gaps without claiming to create or change those external citations [96].
- Whether Agent-generated drafts are grounded in buyer-approved sources, subject to human review, and exportable into the buyer's CMS [99].
- Annual commitment, cancellation, renewal, refund, data-retention, security, SSO/SAML, and support terms [99].
- Whether the vendor can provide a representative sample report showing first-party gaps, third-party sources, competitor citations, and recommended content architecture [99].
- What independently measured customer evidence exists for citation-share, recommendation, or qualified-traffic improvements [99].
Final AI Consensus Verdict
Profound is a mixed-to-good fit for AI SEO Tools for Citation Architecture Content Strategy, with the caveat that the fit is reported rather than verified. Five of seven platforms named it in ranking discovery, and its average listed rank of 1.4 was the strongest in this study. Its reported citation categories, source clusters, prompt-volume data, competitor citation comparison, and AI-crawler analytics align closely with the buyer's stated needs.
The verdict is held back by three unresolved issues. Vendor identity is unconfirmed because the supplied official domain describes a different service than the AEO product evidence [104]. Pricing and plan details vary across sources, with Enterprise undisclosed and third-party estimates unconfirmed [107]. And no platform supplied independent, causal evidence that using Profound increases AI citations or recommendations [104].
Buyers with dedicated analyst capacity, single-brand focus, and budget for Growth or Enterprise should evaluate Profound directly against a sample report for their own market. Buyers who need verified identity, published enterprise pricing, multi-brand dashboards, or attribution to revenue should treat those gaps as decision criteria and compare alternatives before committing.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms: OpenAI, Anthropic, Google, Grok, Perplexity, DeepSeek, and Kimi. Each platform independently evaluated Profound against the citation-architecture use case, and their responses were aggregated without weighting. The authoritative research date is 2026-09-19.
Ranking-stage statistics reflect how many platforms named Profound during discovery and where it placed. Fit ratings reflect each platform's own assessment: Google and Grok rated it strong; Anthropic and Perplexity rated it good; OpenAI, DeepSeek, and Kimi rated it uncertain. All platform responses are platform-reported and were not independently verified by the writer stage. The consensus index for this category is available at AI SEO Tools for Citation Architecture Content Strategy.
This review is part of a broader directory covering ai seo content optimization tools and platforms.
Methodology Limitations
Several limitations apply. Platform-reported research dates differ from the authoritative run date: DeepSeek's response is dated 2026-06-04, while the other six platforms are dated 2026-09-19. Platform-reported dates are provenance metadata and do not independently prove freshness.
The deterministic identity audit found conflicting official domains and used an exact-name fallback, so the Profound identity tied to profound.com remains unverified. 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.
DeepSeek's response was produced with search disabled, so its findings are model-reported rather than retrieved. Kimi could not confirm that an AI SEO platform named Profound exists at the claimed domain. No platform supplied a controlled, causal demonstration that Profound increases AI citations or recommendations. Pricing, engine coverage, trial availability, and multi-brand support details conflict across sources and should be verified contractually. The official-page excerpt retrieved for profound.com describes a market-research service, which does not match the AEO product evidence and is disclosed here as an unresolved conflict.
Sources
Company-Owned Sources
- Interpret Answer Engine Insights v2: https://help.tryprofound.com/articles/5194011335
- Building Your Content Portfolio from Citation Data - Profound 101: https://university.tryprofound.com/courses/profound-101/modules/analyze/lessons/building-your-content-portfolio-from-citation-data
- How to Track Your Brand's AI Visibility with Profound: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHs20Ht-z3Hj9jsRAG4niEm_s4ODdGIw4QH7qpUUcZRkJptUQ5Fjy7ZpQLxGUehKHK5T3HEJwxsERcopsBfH1vFYgXjqV8Jyz4Q3S4oCswpuvg8G-mKNQvXxADayxS6MKKR4YyB0PsWF6K0AMcy_MXNRAfOiH2cktvi4a95uLnW402diZuq
- CitationBench — API and MCP Server for SEO and GEO: https://www.citationbench.com/
- Research For Individuals: https://www.profound.com/ResearchForIndividuals.aspx
- Chapter 4: Your first AEO audit: https://www.tryprofound.com/aeo-guide/chapter-4
- Content strategies for AI search: The ultimate playbook: https://www.tryprofound.com/articles/ai-search-content-strategies
- Profound vs. Rankability: Which AI visibility platform fits your team?: https://www.tryprofound.com/articles/profound-vs-rankability
- Who Shapes AI Answers? Introducing Enhanced Citation Categories: https://www.tryprofound.com/blog/enhanced-citation-categories
- The Complete AEO Platform | Profound: https://www.tryprofound.com/features
- Create AI-optimized content in minutes, not weeks: https://www.tryprofound.com/features/agents
- AI Powered Content Optimization | Profound: https://www.tryprofound.com/features/agents/content-optimization
- AI Citation Analysis Tool for AEO | Profound: https://www.tryprofound.com/features/answer-engine-insights/citations
- Pricing - Profound: https://www.tryprofound.com/pricing
- Official pricing and terms source: https://www.profound.com/Home.aspx?ReturnUrl=%2f
Additional AI research evidence108 records
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:30-11
- AI research evidence record google:1.2.3
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record deepseek:c1
- AI research evidence record grok:1
- AI research evidence record grok:2
- AI research evidence record google:1.2.1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record openai:c2
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:11-3
- AI research evidence record google:1.1.3
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record openai:c3
- AI research evidence record anthropic:37-4
- AI research evidence record google:1.2.4
- AI research evidence record grok:1
- AI research evidence record perplexity:c4
- AI research evidence record openai:c4
- AI research evidence record anthropic:30-11
- AI research evidence record google:1.2.3
- AI research evidence record grok:1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:20-4
- AI research evidence record anthropic:42-7
- AI research evidence record anthropic:37-4
- AI research evidence record openai:c3
- AI research evidence record anthropic:31-1
- AI research evidence record anthropic:39-1
- AI research evidence record google:1.1.3
- AI research evidence record perplexity:c4
- AI research evidence record google:1.2.1
- AI research evidence record grok:1
- AI research evidence record anthropic:1-1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record openai:c2
- AI research evidence record google:1.2.4
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:41-1
- AI research evidence record anthropic:41-3
- AI research evidence record anthropic:37-4
- AI research evidence record google:1.2.3
- AI research evidence record openai:c3
- AI research evidence record anthropic:20-4
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record grok:1
- AI research evidence record anthropic:30-11
- AI research evidence record anthropic:30-12
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:40-6
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:11-3
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.2
- AI research evidence record google:1.1.3
- AI research evidence record google:1.1.4
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:38-9
- AI research evidence record openai:c2
- AI research evidence record anthropic:11-3
- AI research evidence record perplexity:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:35-3
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:41-1
- AI research evidence record anthropic:41-3
- AI research evidence record openai:c2
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:40-6
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:40-2
- AI research evidence record openai:c1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:41-1
- AI research evidence record anthropic:39-1
- AI research evidence record google:1.1.4
- AI research evidence record google:1.2.5
- AI research evidence record openai:c1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record kimi:citationbench-2025
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c2
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:40-4
- AI research evidence record perplexity:c5
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:1-1
Independent Sources
- Profound AI Visibility Tool: Deep Dive Review for B2B SaaS Teams | Discovered Labs: https://discoveredlabs.com/blog/profound-ai-visibility-tool-review
- Profound Pricing 2026: What $99 and $399 Buy: https://getintel.ai/blog/profound-pricing-2026/
- Profound Review 2026: Does This Enterprise GEO Platform Deliver? - GetMint: https://getmint.ai/resources/profound-review
- Profound AI Review 2026: Features, Pricing, Pros, Cons &: https://indexly.ai/blog/profound-ai-review/
- Profound Pricing Review August 2026: https://maintouch.com/blogs/profound-ai-pricing
- Profound AI review 2026: enterprise depth, self-serve limits, and buyer fit: https://maxaeo.ai/blog/profound-ai-review-2026-features-pricing-pros-22-alternatives/
- Profound vs Ahrefs: Purpose-Built AEO vs. SEO-First GEO Add-On (2026: https://nicklafferty.com/blog/profound-vs-ahrefs/
- Profound Review 2026: Features, Limits and Verdict | Trakkr: https://trakkr.ai/reviews/profound-review
- RankCite Review: Profound Pricing and AEO Comparison: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFHfq-fRWsr9yyhpLvNRN9sxpci2HaDeOrgeiXqlKl1_VyzitdAJ09tu6UMbnk0mmxe3WbDOdyXgM4zFhbcqirx2LBBR0do29CgAk1O4r1yGfXEt_AN1gUQrL4WTWQjneRuJZCang==
- 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 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 evidence108 records
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:30-11
- AI research evidence record google:1.2.3
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record deepseek:c1
- AI research evidence record grok:1
- AI research evidence record grok:2
- AI research evidence record google:1.2.1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record openai:c2
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:11-3
- AI research evidence record google:1.1.3
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record openai:c3
- AI research evidence record anthropic:37-4
- AI research evidence record google:1.2.4
- AI research evidence record grok:1
- AI research evidence record perplexity:c4
- AI research evidence record openai:c4
- AI research evidence record anthropic:30-11
- AI research evidence record google:1.2.3
- AI research evidence record grok:1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:20-4
- AI research evidence record anthropic:42-7
- AI research evidence record anthropic:37-4
- AI research evidence record openai:c3
- AI research evidence record anthropic:31-1
- AI research evidence record anthropic:39-1
- AI research evidence record google:1.1.3
- AI research evidence record perplexity:c4
- AI research evidence record google:1.2.1
- AI research evidence record grok:1
- AI research evidence record anthropic:1-1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record openai:c2
- AI research evidence record google:1.2.4
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:41-1
- AI research evidence record anthropic:41-3
- AI research evidence record anthropic:37-4
- AI research evidence record google:1.2.3
- AI research evidence record openai:c3
- AI research evidence record anthropic:20-4
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record grok:1
- AI research evidence record anthropic:30-11
- AI research evidence record anthropic:30-12
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:40-6
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:11-3
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.2
- AI research evidence record google:1.1.3
- AI research evidence record google:1.1.4
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:38-9
- AI research evidence record openai:c2
- AI research evidence record anthropic:11-3
- AI research evidence record perplexity:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:35-3
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:41-1
- AI research evidence record anthropic:41-3
- AI research evidence record openai:c2
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:40-6
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:40-2
- AI research evidence record openai:c1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:41-1
- AI research evidence record anthropic:39-1
- AI research evidence record google:1.1.4
- AI research evidence record google:1.2.5
- AI research evidence record openai:c1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record kimi:citationbench-2025
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c2
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:40-4
- AI research evidence record perplexity:c5
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:1-1
Other Sources
- Profound: https://profound.com/
Additional AI research evidence108 records
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:30-11
- AI research evidence record google:1.2.3
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record deepseek:c1
- AI research evidence record grok:1
- AI research evidence record grok:2
- AI research evidence record google:1.2.1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record openai:c2
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:11-3
- AI research evidence record google:1.1.3
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record openai:c3
- AI research evidence record anthropic:37-4
- AI research evidence record google:1.2.4
- AI research evidence record grok:1
- AI research evidence record perplexity:c4
- AI research evidence record openai:c4
- AI research evidence record anthropic:30-11
- AI research evidence record google:1.2.3
- AI research evidence record grok:1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:20-4
- AI research evidence record anthropic:42-7
- AI research evidence record anthropic:37-4
- AI research evidence record openai:c3
- AI research evidence record anthropic:31-1
- AI research evidence record anthropic:39-1
- AI research evidence record google:1.1.3
- AI research evidence record perplexity:c4
- AI research evidence record google:1.2.1
- AI research evidence record grok:1
- AI research evidence record anthropic:1-1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record openai:c2
- AI research evidence record google:1.2.4
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:41-1
- AI research evidence record anthropic:41-3
- AI research evidence record anthropic:37-4
- AI research evidence record google:1.2.3
- AI research evidence record openai:c3
- AI research evidence record anthropic:20-4
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record grok:1
- AI research evidence record anthropic:30-11
- AI research evidence record anthropic:30-12
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:40-6
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:11-3
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.2
- AI research evidence record google:1.1.3
- AI research evidence record google:1.1.4
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:38-9
- AI research evidence record openai:c2
- AI research evidence record anthropic:11-3
- AI research evidence record perplexity:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:35-3
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:41-1
- AI research evidence record anthropic:41-3
- AI research evidence record openai:c2
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:40-6
- AI research evidence record anthropic:44-1
- AI research evidence record anthropic:40-2
- AI research evidence record openai:c1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:41-1
- AI research evidence record anthropic:39-1
- AI research evidence record google:1.1.4
- AI research evidence record google:1.2.5
- AI research evidence record openai:c1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record kimi:citationbench-2025
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c2
- AI research evidence record anthropic:39-1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:40-4
- AI research evidence record perplexity:c5
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:ranking-stage-unverified
- AI research evidence record google:1.1.1
- AI research evidence record anthropic:1-1
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
- 35
- Ranking mentions
- 5 of 7
- Platform share
- 71%
- Final consensus rank
- #1
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
17 independent · 17 company-owned · 1 unclear
Evidence support
28 direct · 6 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 284569ea13c827f8ed550ecb0615595011379c40c4efa32e44f2ebd1c373c6b3