Answer Capsule
Profound is a strong fit for companies with strong traditional SEO but weak AI visibility, according to four of the six platforms that evaluated it for this use case (anthropic, grok, kimi, openai), while deepseek rated it "good" and perplexity rated it "mixed." Three of the six platforms named Profound during the ranking stage (deepseek, grok, openai), where it averaged rank 1.33 and took the top spot on two of three lists. The strongest reason to consider it is its citation-source and competitor-citation analysis, which directly diagnoses why organic authority is not converting into AI citations. The main limitation is that Profound measures and diagnoses; it does not execute content fixes, backlink acquisition, or third-party placement, and public pricing and contract terms remain inconsistent across sources.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 3 of 6 included platforms (deepseek, grok, openai) |
| Share of included platform responses | 50% |
| Average listed rank | 1.33 |
| Best listed rank | 1 |
| Relevant product/model/plan | Answer Engine Insights; Profound Agents; Growth or Enterprise tier |
| Overall use-case fit | Strong (4 platforms); Good (1 platform); Mixed (1 platform) — 6 platforms analyzed |
| Research date | 2026-09-17 |
Why Profound Qualified for This Study
Questions This Section Answers
- Is Profound a good choice for AI Citation Strategies for Companies With Strong SEO but Weak AI Visibility?
- Why did AI platforms rank Profound first for diagnosing weak AI visibility despite strong SEO?
Profound qualified because it was named during the ranking stage by three of the six included platforms (deepseek, grok, openai), where it averaged rank 1.33 and took first place on the deepseek and openai lists [1]. The remaining three platforms (anthropic, kimi, perplexity) evaluated Profound's fit for this use case without naming it in their ranking discovery, so the 50% platform share reflects ranking-stage mentions only, not the total number of platforms that assessed it.
The use case itself is well documented in the supplied research. Commercial brands with strong traditional SEO often achieve minimal AI citation visibility, and brands with strong organic rankings frequently have zero citations in AI answers [3]. Profound's positioning maps to that gap: it pairs AI visibility analytics with agent-driven workflows, giving both the insight to see how a brand appears across AI engines and automation to act on it [5]. Independent reviewers describe the platform's core value as diagnostic, mapping competitor share of voice and surfacing prompt-level visibility gaps [6].
Profound's own materials state that its citation tooling reports cited sources, source categories, citation share, earned-media opportunities, watched pages, and exports [7]. Independent coverage describes it as the benchmark for identifying which platforms actually increase brand mentions inside ChatGPT, Google AI Overviews, and Perplexity [8].
One qualification applies at the entity level: the supplied normalization context reports conflicting official domains and a failed retrieval of the official site, so the matching Profound domain should be verified during procurement [9]. This review relies on Profound materials hosted at tryprofound.com and on independent third-party reviews.
The Product, Model, Plan, or Service Most Relevant to AI Citation Strategies for Companies With Strong SEO but Weak AI Visibility
Questions This Section Answers
- Which Profound plan should a buyer choose for multi-engine citation analysis if Growth is limited to three answer engines?
- Does Profound's Answer Engine Insights actually show which third-party sources AI engines cite in a category?
The most relevant Profound offering for this use case is Answer Engine Insights, with Profound Agents for workflow support and either the Growth or Enterprise tier depending on engine coverage and scale [10]. Answer Engine Insights measures brand mentions, visibility, share of voice, sentiment, citations, citation authority, and inaccurate claims across tracked answer engines [10]. Its citation tooling reports cited URLs, source categories, citation share, and the publishers or authors driving citations, which supports classification of owned, competitor, earned-media, PR-wire, social, and institutional sources [12].
Competitive benchmarking is the second core component. Profound supports competitor discovery, prompt-level comparison, citation-share analysis, visibility rank, head-to-head content optimization, and competitor monitoring [13]. Independent reviewers frame the product's purpose as answering "why are we losing citation share to a competitor and what do we do about it" [14].
Plan selection matters because coverage is tiered. Starter is limited to ChatGPT and Growth to three answer engines; broad coverage and API access require a custom Enterprise plan [15]. Growth unlocks engine coverage across ChatGPT, Perplexity, and Google AI Overviews, but the product assumes someone owns AEO full-time and has the bandwidth to act on the data [16]. Independent reviews put Enterprise at $2,000–$5,000+ per month when AI visibility is a board-level priority and full engine coverage is required [17].
A separate integration exists for buyers already using Optimizely: the Profound Citation Gap Analysis agent analyzes AI citation performance for any topic using Profound's visibility data and produces a citation gap report showing share of voice against key competitors, with prioritized blog topic recommendations [18].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Profound does best for companies with strong SEO but weak AI visibility?
- Is Profound's citation-source analysis strong enough to identify missing third-party corroboration?
The platforms agreed on three points: Profound is purpose-built for AI visibility rather than retrofitted from SEO tooling, its citation and competitor analysis is the strongest part of the product for this use case, and it is a measurement and diagnosis layer rather than an execution service.
On purpose-built positioning, Profound's own materials state it was built for AEO from the start rather than retrofitted from an SEO tool [20]. Independent coverage describes the platform as tracking brand performance across five major AI engines: Google AI Overviews, AI Mode, ChatGPT, Perplexity, and Bing Copilot [21]. Profound's architecture centers on prompt-to-response logging rather than API simulation, which reviewers say gives a more accurate picture of real-world citations than tools that generate synthetic prompts [22]. Profound also states it tracks all major answer engines daily through front-end browsers, capturing the response a real user sees instead of the thinner version an API returns [23].
On citation and competitor analysis, the agreement is consistent across platforms. Profound's citation tracking tool gives a clear view of every source AI pulls from, how the brand and competitors rank for citations, and where to act [24]. The Citation Share chart shows day-over-day changes across all tracked prompts, alongside a rankings table comparing citation share to competitors [25]. Independent reviewers note that citation tracking helps identify which sources AI engines rely on in a category, including third-party reviews, listicles, forums, and competitor pages, and that competitor citations from pages where the buyer is missing give a clear place to investigate [26].
On the measurement-versus-execution boundary, the platforms were also aligned. Profound monitors and shows where a brand is invisible in AI search but will not push a content fix to a CMS, source a backlink, or execute a technical SEO change; the diagnosis is the deliverable, and remediation is the buyer's responsibility [27]. Reviewers describe the core value as diagnostic, with production execution still requiring a team to set strategy, review outputs, and manage content governance [28].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why do AI platforms disagree about Profound's pricing and free trial availability in 2026?
- Is Profound's fit rating reliable given that one platform rated it mixed and another rated it only good?
Fit ratings diverged. Four platforms rated Profound a strong fit (anthropic, grok, kimi, openai), deepseek rated it good, and perplexity rated it mixed. The disagreement is not about capability but about verifiability. Deepseek's rating was conditional because the entity's canonical identity and domain were unverified, public pricing and contract terms could not be confirmed, and no independent evidence was found that the product reliably diagnoses and fixes the specific SEO-to-AI citation gap [29]. Perplexity reached a similar conclusion, describing Profound as directionally aligned but not cleanly verifiable enough to treat as a low-uncertainty purchase, citing incomplete official pricing page text and inconsistent third-party reporting [30].
Pricing conflicts are material and unresolved. Multiple independent reviews cite Enterprise at $2,000–$5,000+ per month [32], while one source cites older pricing of $2,000 per month. Some sources report Growth at $399 per month on annual billing while others report $332.50 per month annually, which may reflect regional or contract-timing differences. Free-trial availability is also contested: one review reports a seven-day free trial of the Growth plan [34], while other sources report that the public pricing page lists only one option with no free trial or self-serve tier. The more recent articles suggest Profound shifted toward enterprise-only positioning but may have reverted; this review cannot resolve the conflict.
Engine coverage counts also conflict. One source lists five engines including "AI Mode" alongside Google AI Overviews, ChatGPT, Perplexity, and Bing Copilot [35], but "AI Mode" is not a standard public LLM platform name and may be outdated or regional nomenclature. Another source describes Enterprise as covering up to nine answer engines [36], while a third describes full eleven-engine coverage at the Enterprise tier [33]. Buyers should confirm the exact engine list in writing.
Two further uncertainties are worth flagging. Profound publishes research claiming only 8% of ChatGPT citations come from Google top-10 URLs, but the underlying methodology and sample size are not detailed in the supplied sources and independent replication is not available. And the effect of improving citation share on qualified traffic, conversions, or revenue is not established by the reviewed sources [37].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Which Profound features actually diagnose why strong SEO authority is not producing AI citations?
- Does Profound's Agent Analytics require CDN or server-log access that some hosting setups cannot provide?
Profound's use-case fit rests on four capability clusters: citation architecture analysis, competitor citation benchmarking, AI crawler diagnostics, and agent-driven workflow support.
Citation architecture analysis is the most directly relevant. Profound reports cited URLs, source categories, citation share, and the publishers or authors driving citations, which supports classification of owned, competitor, earned-media, PR-wire, social, and institutional sources [38]. Independent reviewers note that if competitors are cited from pages where the buyer is missing, that identifies a specific place to investigate [39]. Profound's Agents now include Noble nodes, which the company says automate placement of a brand into key third-party citation sources, described as the same long-tail surfaces where 97.4% of AI citations originate [40]. That placement claim is platform-reported and should be verified.
Competitor citation benchmarking compares competitors by prompt, topic, platform, visibility rank, citation share, share of voice, sentiment, and average position [41]. Profound states that buyers can compare AI citation performance against more than 2 million pages to see how their site stacks up [42].
AI crawler diagnostics come through Agent Analytics, which connects to a CDN (Cloudflare, Akamai, Fastly, AWS CloudFront, Google Cloud CDN, Netlify, or WordPress) and reads server logs to show which AI bots visit which pages, tracking GPTBot, PerplexityBot, ClaudeBot, and others [43]. Reviewers note that if GPTBot stops crawling a key page, the buyer sees it before it shows up as a visibility drop [43]. The limitation is structural: if the hosting infrastructure cannot be connected, the feature does not run [44].
Workflow support runs through Profound Agents, which reviewers describe as supporting AEO content workflows while production execution still requires a team to set strategy, review outputs, and manage content governance [45]. Profound states that it is SOC 2 Type II certified and HIPAA compliant, with SSO, role-based access, and daily backups, and that every account comes with a dedicated AI strategist and engagement manager rather than a ticket queue [46]. Buyers should independently verify the current SOC 2 report, scope, and trust period.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Profound cost per month for Growth and Enterprise, and are there setup or cancellation fees?
- Is Profound's Growth plan worth it at $399 per month if it only covers three answer engines and 100 prompts?
Published self-serve pricing is consistent across most sources but not all. Starter is listed at $99 per month when billed yearly, including ChatGPT tracking, 50 prompts, and 100 Agents credits per month [47]. Growth is listed at $399 per month when billed yearly, including three answer engines, 100 prompts, and 400 Agents credits per month [47]. Enterprise is custom-priced, with published scope including up to nine answer engines and multiple companies tracked [47].
Independent reviews add context and conflict. One review notes that Growth at $399 per month runs above the category average and is limited to three engines and 100 prompts on a single brand workspace [49]. Third-party reviews in early 2026 put enterprise deployments anywhere from $2,000 to $5,000+ per month depending on platform count, seats, and features [50]. One source cites older Enterprise pricing of $2,000 per month. Some sources report Growth at $332.50 per month annually rather than $399, which may reflect regional or contract-timing differences. This review cannot resolve which figure is current.
Contract terms are only partially documented. The public pricing page indicates annual billing for Starter and Growth and advertises two months free, but does not establish cancellation, renewal, refund, or downgrade terms [51]. Enterprise contract length, minimum commitment, renewal mechanics, service levels, and exit or data-export provisions are unclear from the reviewed public materials [51]. One independent review reports that self-serve plans are billed as annual commitments with no month-to-month option, and that a seven-day free trial is available for Growth [52], while other sources report no free trial or self-serve tier at all. Buyers should confirm current terms directly.
Additional fees are not fully published. No separately published implementation, additional-engine, overage, professional-services, or managed-outreach fees were verified [51]. Agents usage beyond included credits, expanded prompt volume, additional brands, data integrations, and implementation services may affect the quoted Enterprise price [51]. Independent reviews note that Agents consume credits per run and that additional credit packages are required beyond the included allocation [48].
Best Suited For
Questions This Section Answers
- Who gets the most value from Profound when traditional SEO is strong but AI citations are weak?
- Is Profound a good fit for enterprise teams that need citation-share benchmarking across multiple answer engines?
Profound is best suited to enterprise and mid-market organizations with proven SEO authority but zero or minimal AI citations, and with dedicated AEO, SEO, content, or PR resources to act on the findings [53]. Independent reviewers state that Profound makes more sense if the buyer already has SEO analysts, writers, and strategists who can turn the data into action [54].
The second fit profile is teams that need citation-share and competitor benchmarking across multiple answer engines. Profound's citation tooling reports cited sources, source categories, citation share, earned-media opportunities, watched pages, and exports [55], and its competitive benchmarking compares competitors by prompt, topic, platform, visibility rank, citation share, share of voice, sentiment, and average position [56].
The third fit profile is organizations where AI visibility is a board-level priority. Enterprise at $2,000–$5,000+ per month makes sense when AI visibility is a board-level priority, procurement needs SOC 2 clearance, and full engine coverage is required [57]. Profound states that it is SOC 2 Type II certified and HIPAA compliant, with SSO, role-based access, and daily backups [58].
A fourth profile is buyers who need to identify which publishers, competitor pages, source categories, and prompts influence AI answers, and who can convert those findings into content, digital PR, partnerships, or outreach execution [55].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Profound for AI Citation Strategies for Companies With Strong SEO but Weak AI Visibility?
- Is Profound a poor fit for small teams that need content creation and SEO execution in the same platform?
Profound is probably not the best fit for buyers seeking a low-cost, fully managed third-party citation-building service rather than analytics and workflow software [60]. It is also a poor fit for organizations that require guaranteed rankings, guaranteed citations, or independently validated causal attribution from platform metrics [60].
Small teams without dedicated AEO or SEO resources are a weak fit. Independent reviewers note that Profound may feel heavy for teams that are completely new to GEO [61], and that the platform's technical sophistication comes with a steeper learning curve, potentially making it less intuitive for teams without dedicated technical resources [62]. Reviewers also note that Profound focuses specifically on AI visibility monitoring and does not provide comprehensive content creation capabilities, so organizations may need separate tools for traditional SEO analysis and content optimization [63].
Buyers who need execution inside the same platform are also a weak fit. Profound will not push a content fix to a CMS, source a backlink, or execute a technical SEO change [64]. Reviewers describe the consequence plainly: for teams without a dedicated resource to act on the data, the buyer pays for insight and then pays again to do something about it [64].
Finally, buyers who cannot connect their hosting infrastructure to Agent Analytics will not get that feature at all [65], and buyers who need multi-account management or white-label reporting for agency delivery at scale may find Profound's positioning is single-brand enterprise rather than agency-optimized at lower tiers [60].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Profound for a buyer who needs AI visibility bundled with existing SEO workflows?
- When is a managed AEO or digital PR agency a better choice than Profound for earning third-party citations?
A broader SEO-suite provider may be better when the buyer wants AI visibility measurement bundled with existing keyword, backlink, technical SEO, and reporting workflows [66]. A managed AEO, digital PR, or content agency may be better when the primary need is execution of third-party corroboration, publisher outreach, review-site coverage, or partnership development [66]. A lower-cost specialist tracker may be better when the buyer needs only limited prompt monitoring and does not need Profound's citation taxonomy, enterprise workflows, or broader benchmarking [66].
Independent reviewers add several alternative scenarios. An all-in-one SEO platform that bundles AEO as a feature alongside traditional keyword research, rank tracking, and content optimization may fit buyers who want one vendor [67]. Execution-focused tooling with guided workflows and content creation may fit buyers who lack internal AEO or SEO expertise [68]. A bridge product for SEO teams dipping into AEO without a full architecture rebuild may fit buyers prioritizing SEO incumbency [67]. Buyers who need multi-account management or white-label reporting for agency delivery at scale may need a different vendor, since Profound's positioning is single-brand enterprise rather than agency-optimized at lower tiers [66].
Budget is a practical threshold. Buyers under $399 per month who need only basic tracking should consider lower-cost monitors, and buyers who need immediate content drafting without enterprise pricing should consider tools with lower entry points or done-for-you options [69]. Buyers who need transparent self-serve pricing may prefer a lower-cost AI-visibility monitor or a general SEO suite add-on [70]. Buyers who primarily need editorial or PR outreach to earn third-party citations rather than software monitoring may fit better with a specialist PR or SEO consultancy [70].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Profound about engine coverage, prompt limits, and contract terms before signing?
- Can Profound demonstrate a representative citation-gap analysis using the buyer's own domain and competitors before purchase?
Before signing, buyers should confirm which exact answer engines, regions, languages, browser experiences, and prompt volumes are included in the proposed tier [71]. They should ask whether Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Perplexity, and ChatGPT are measured directly or through a different collection method [71]. They should confirm how citation share, visibility, source authority, sentiment, and competitor rank are calculated, deduplicated, and sampled [71].
Buyers should also ask whether the platform can identify missing third-party corroboration by publisher type, author, review site, forum, institution, or region [71], and what portion of the engagement is software access versus analyst onboarding, strategy consulting, content production, or outreach execution [71]. They should confirm whether Agents credits, API access, exports, integrations, additional brands, additional prompts, and historical data are included or charged separately [71].
Contract questions matter given the unresolved pricing conflicts. Buyers should confirm the annual commitment, renewal, cancellation, refund, service-level, data-retention, and data-export terms [71]. They should ask whether Profound can provide a representative analysis using the buyer's domain, prompts, competitors, and target geography before contract signature [71], and what independent evidence demonstrates that recommended changes improved AI citations rather than merely changing measured visibility [71].
Two verification items are specific to this entity. Buyers should confirm the canonical domain and contracting entity, because the supplied normalization context reports conflicting official domains and a failed retrieval of the official site [71]. And buyers should confirm whether the current public pricing page still lists self-serve tiers or has moved to enterprise-only sales, because sources conflict on this point [73].
Final AI Consensus Verdict
Profound is a strong fit for companies with strong traditional SEO but weak AI visibility when the immediate requirement is rigorous citation intelligence, competitor and source diagnosis, and prioritization of content and third-party corroboration opportunities [75]. Four of the six platforms that evaluated it for this use case rated it strong (anthropic, grok, kimi, openai), one rated it good (deepseek), and one rated it mixed (perplexity). The mixed and conditional ratings trace to unresolved identity, pricing, and contract questions rather than to capability disagreements.
The consensus position is that Profound should be treated as an analytics and orchestration platform, not as a guaranteed citation-acquisition service [75]. Growth is a reasonable pilot tier for multi-engine citation analysis; Enterprise is more appropriate for multi-brand, multi-engine, high-volume, or implementation-heavy programs, subject to verification of scope and commercial terms [75]. Buyers should verify the contracting entity, current pricing, engine coverage, and contract terms in writing before committing.
How This Review Was Produced
This review synthesizes fit-research responses from six AI platforms that evaluated Profound for the use case "AI Citation Strategies for Companies With Strong SEO but Weak AI Visibility." The platforms were anthropic (claude-haiku-4-5-20251001, search enabled), deepseek (deepseek-v4-flash, search disabled), grok (x-ai/grok-4.3, search enabled), kimi (moonshotai/kimi-k2.6, search enabled), openai (gpt-5.6-luna, search enabled), and perplexity (perplexity/sonar, search enabled). The study date is 2026-09-17.
Ranking-stage mentions were counted only from platforms that named Profound during ranking discovery: deepseek, grok, and openai. The other three platforms evaluated fit without naming Profound in their ranking lists, so the 50% platform share reflects ranking-stage mentions only. Fit ratings were taken from each platform's own assessment. All factual claims are cited to the platform-supplied citation IDs in the catalog, and company-owned sources are distinguished from independent sources throughout.
Methodology Limitations
Several limitations apply. Platform-reported research dates differ from the authoritative run date: deepseek's research date is 2026-06-15, while the other five platforms report 2026-09-17. Platform-reported dates are provenance metadata and do not independently prove freshness.
The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. Deepseek's response was produced with search disabled, so its claims require explicit verification before being described as current facts.
The deterministic identity audit flagged conflicting official domains and a failed retrieval of the official site, so the matching Profound domain remains unverified. Pricing, plan names, engine counts, and free-trial availability conflict across sources and were not resolved by guessing. Company-reported customer outcomes and feature descriptions should be distinguished from independently validated performance evidence. The effect of improving citation share on qualified traffic, conversions, or revenue is not established by the reviewed sources.
Explore more ai citation authority building guidance in the category directory.
Sources
Company-Owned Sources
- B2B AI Visibility Services | Cite Solutions: https://cite.solutions/b2b-ai-visibility-services
- How Clear Cited Works — full-stack AEO + SEO: https://clearcited.com/how-it-works/
- Profound — AI Search / Answer Engine Optimization platform: https://profound.ai/
- AEO tools guide 2026: 19 Best answer engine optimization platforms, reviewed: https://www.tryprofound.com/blog/9-best-answer-engine-optimization-platforms
- AI Crawler & Traffic Analysis | Agent Analytics: https://www.tryprofound.com/features/agent-analytics
- Answer Engine Insights: #1 AI Search Visibility Platform: https://www.tryprofound.com/features/answer-engine-insights
- AI Citation Analysis Tool for AEO: https://www.tryprofound.com/features/answer-engine-insights/citations
- AI Search Competitive Benchmarking Tool: https://www.tryprofound.com/features/answer-engine-insights/competitors
- Profound Pricing: https://www.tryprofound.com/pricing
Additional AI research evidence75 records
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:37-1
- AI research evidence record anthropic:37-5
- AI research evidence record anthropic:1-3
- AI research evidence record anthropic:34-6
- AI research evidence record openai:c2
- AI research evidence record anthropic:4-2
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-3
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:30-16
- AI research evidence record anthropic:19-9
- AI research evidence record anthropic:27-13
- AI research evidence record anthropic:27-1
- AI research evidence record anthropic:28-3
- AI research evidence record anthropic:28-5
- AI research evidence record anthropic:1-3
- AI research evidence record anthropic:2-2
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:1-9
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:29-11
- AI research evidence record anthropic:33-5
- AI research evidence record anthropic:27-6
- AI research evidence record anthropic:34-6
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c15
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:20-2
- AI research evidence record anthropic:27-1
- AI research evidence record anthropic:19-3
- AI research evidence record anthropic:2-2
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record anthropic:33-5
- AI research evidence record anthropic:30-1
- AI research evidence record openai:c3
- AI research evidence record anthropic:31-6
- AI research evidence record anthropic:36-6
- AI research evidence record anthropic:25-2
- AI research evidence record anthropic:34-6
- AI research evidence record anthropic:1-15
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-2
- AI research evidence record anthropic:20-7
- AI research evidence record anthropic:20-2
- AI research evidence record openai:c4
- AI research evidence record anthropic:19-3
- AI research evidence record anthropic:34-8
- AI research evidence record anthropic:14-6
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:27-1
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:33-5
- AI research evidence record openai:c4
- AI research evidence record anthropic:14-2
- AI research evidence record anthropic:10-4
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:27-6
- AI research evidence record anthropic:25-2
- AI research evidence record openai:c4
- AI research evidence record anthropic:1-3
- AI research evidence record anthropic:14-6
- AI research evidence record grok:1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c4
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:19-3
- AI research evidence record perplexity:c15
- AI research evidence record openai:c4
Independent Sources
- Profound Review 2026: Features, Pricing & Verdict: https://aiagentsquare.com/agents/profound
- Profound AI Visibility Tool: Deep Dive Review for B2B SaaS Teams: https://discoveredlabs.com/blog/profound-ai-visibility-tool-review
- Profound Review (2026): Is the Enterprise AI Visibility Tool Worth It?: https://dupple.com/learn/profound-review
- Profound Review 2026: Is the Enterprise AEO Tool Worth It?: https://fixaeo.com/blogs/profound-ai-review/
- Profound Review 2026: Pricing & Is It Worth It?: https://geoptie.com/blog/profound-review
- Is profound answer engine insights worth it for: https://indexly.ai/blog/is-profound-answer-engine-insights-worth-it-for-answer-engine-optimization-reporting-and-competitor-citation-tracking/
- Profound Pricing Review September 2026: https://maintouch.com/blogs/profound-ai-pricing
- Profound AI Review 2026: Features, Pricing, Pros & 22 Alternatives: https://maxaeo.ai/blog/profound-ai-review-2026-features-pricing-pros-22-alternatives/
- 9 AI Visibility Optimization Platforms Ranked by AEO Score (2026: https://nicklafferty.com/blog/best-ai-visibility-optimization-platforms/
- 10 Best Competitor Analysis Tools for AI Search & SEO (2026): Ranked by Citation Share: https://nicklafferty.com/blog/best-competitor-analysis-tools-ai-search/
- Profound vs Ahrefs: Purpose-Built AEO vs. SEO-First GEO Add-On (2026: https://nicklafferty.com/blog/profound-vs-ahrefs/
- Profound Citation Gap Analysis agent – Support Help Center: https://support.optimizely.com/hc/en-us/articles/42860418745229-Profound-Citation-Gap-Analysis-agent
- Profound Review 2026: Features, Limits and Verdict: https://trakkr.ai/reviews/profound-review
- Otterly AI review 2026: features, pricing, and who it's for: https://visible.seranking.com/blog/otterly-ai-review/
- Profound AI Review 2026: Is It Still Worth It? - SE Visible: https://visible.seranking.com/blog/profound-review/
- Answer Engine Optimization (AEO): Your Complete Guide to AI Search Visibility | Amsive: https://www.amsive.com/insights/seo/answer-engine-optimization-aeo-evolving-your-seo-strategy-in-the-age-of-ai-search/
- Is Profound Good for AI Search Visibility? What the Pricing: https://www.brandarmor.ai/alternatives/is-profound-good
- Profound Review 2026: Features, Pricing, Honest Limits: https://www.get-ryze.ai/blog/profound-review-2026
- Good SEO Rankings But No AI Visibility — Why and What to Do About It: https://www.margen.net/good-seo-rankings-but-no-ai-visibility-why/
- Profound AI Review for 2026: Is It Worth the Investment? - Radarkit: https://www.radarkit.ai/blog/profound-ai-review/
- Profound AI review for agencies (2026): is it worth it for client AI visibility?: https://www.rankability.com/blog/profound-ai-review/
- Profound AI Review 2026: Strong Data, But Here's the Real Catch: https://www.scalenut.com/blogs/profound-ai-reviews
- The AI Search Visibility Audit: 15 Questions Every CMO Should Ask: https://www.searchenginejournal.com/ai-visibility-audit-questions-iqrush-spa/558015/
- Profound AI Review 2026: Limits, Pricing & Results: https://www.tryanalyze.ai/blog/profound-ai-review
Additional AI research evidence75 records
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:37-1
- AI research evidence record anthropic:37-5
- AI research evidence record anthropic:1-3
- AI research evidence record anthropic:34-6
- AI research evidence record openai:c2
- AI research evidence record anthropic:4-2
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-3
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:30-16
- AI research evidence record anthropic:19-9
- AI research evidence record anthropic:27-13
- AI research evidence record anthropic:27-1
- AI research evidence record anthropic:28-3
- AI research evidence record anthropic:28-5
- AI research evidence record anthropic:1-3
- AI research evidence record anthropic:2-2
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:1-9
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:29-11
- AI research evidence record anthropic:33-5
- AI research evidence record anthropic:27-6
- AI research evidence record anthropic:34-6
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c15
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:20-2
- AI research evidence record anthropic:27-1
- AI research evidence record anthropic:19-3
- AI research evidence record anthropic:2-2
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record anthropic:33-5
- AI research evidence record anthropic:30-1
- AI research evidence record openai:c3
- AI research evidence record anthropic:31-6
- AI research evidence record anthropic:36-6
- AI research evidence record anthropic:25-2
- AI research evidence record anthropic:34-6
- AI research evidence record anthropic:1-15
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-2
- AI research evidence record anthropic:20-7
- AI research evidence record anthropic:20-2
- AI research evidence record openai:c4
- AI research evidence record anthropic:19-3
- AI research evidence record anthropic:34-8
- AI research evidence record anthropic:14-6
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:27-1
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:33-5
- AI research evidence record openai:c4
- AI research evidence record anthropic:14-2
- AI research evidence record anthropic:10-4
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:27-6
- AI research evidence record anthropic:25-2
- AI research evidence record openai:c4
- AI research evidence record anthropic:1-3
- AI research evidence record anthropic:14-6
- AI research evidence record grok:1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c4
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:19-3
- AI research evidence record perplexity:c15
- AI research evidence record openai:c4
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 17, 2026
- Platforms analyzed
- 6
- Source records
- 33
- Ranking mentions
- 3 of 6
- Platform share
- 50%
- Final consensus rank
- #1
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
24 independent · 9 company-owned
Evidence support
22 direct · 11 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 c000eea104d2b8412272d561734427549ef1158b4eb1d59d5714b553bb2747ca