One marketing need. Multiple leading AI platforms. One transparent consensus. How it works
AI MarketingConsensus Index

AI Consensus Fit Review

MarketMuse AI SEO Tool Fit Review for B2B Companies

MarketMuse is a good fit for B2B marketing and revenue teams that need topic discovery, content-cluster planning, competitive content analysis, and page-level optimization guidance.

Research: 2026-09-187 usable platform responsesRead the methodology ↗

Answer Capsule

MarketMuse is a good fit for B2B marketing and revenue teams that need topic discovery, content-cluster planning, competitive content analysis, and page-level optimization guidance. Four of seven platforms named MarketMuse during ranking discovery, at an average listed rank of 5.0 and a best rank of 3. The strongest reason to consider it is its documented topical-authority and competitor-gap workflow, which maps well to vendor-comparison and alternatives content. The main limitation is that no cited public source verifies native tracking of ChatGPT, Google AI Overviews, Perplexity, or other generative-answer visibility, and current dollar pricing is not published on the cited pricing page.

Research Snapshot

FieldValue
Platform mentions in ranking stage4 of 7 platforms
Share of included platform responses57.1%
Average listed rank5.0
Best listed rank3
Relevant product/model/planMarketMuse Platform, especially Optimize, Research, and Strategy tiers
Overall use-case fitGood (four platforms rated good; three rated mixed)
Research date2026-09-18

Platforms naming MarketMuse in the ranking stage were anthropic (rank 4), deepseek (rank 6), kimi (rank 7), and openai (rank 3). Grok, Google, and Perplexity evaluated fit but did not name MarketMuse during ranking discovery.

Why MarketMuse Qualified for This Study

Questions This Section Answers

  • Is MarketMuse a good choice for AI SEO Tools for B2B Companies?
  • Why did only four of seven AI platforms name MarketMuse in the ranking stage?

MarketMuse qualified because it is a content research and optimization platform whose documented capabilities map directly to the study's category criteria: content research, competitive analysis, topic discovery, and optimization guidance [1]. It cleared the study's minimum-mention threshold of two platforms, appearing in four of seven ranking-stage responses.

The platform's inclusion rests on company-owned documentation plus independent review coverage. MarketMuse documents SERP and competitor-domain analysis using content scores, word count, topic gaps, clusters, authority, difficulty, and heatmaps [1]. Research provides topic models, keywords, questions, SERP analysis, buyer-journey-oriented search context, and site heatmaps [2]. Optimize compares a page with top-ranking pages, identifies missing topics, and supplies content scores and target scores [3].

Independent coverage supports the same general positioning. One review describes MarketMuse as standing out for a cluster-based approach and content plans built on its own AI rather than generic keyword APIs [5]. Another says it is best for B2B SaaS companies, publishers, and agencies that publish frequently and care about topical authority [6].

The qualification is not unanimous. Three platforms rated the fit mixed rather than good, and one platform's ranking-stage plan names and prices did not match the current public plan lineup. Those conflicts are disclosed in later sections rather than resolved.

The Product, Model, Plan, or Service Most Relevant to AI SEO Tools for B2B Companies

Questions This Section Answers

  • Which MarketMuse plan should a B2B buyer choose for topic discovery and competitor comparison content?
  • Does MarketMuse Optimize work for vendor-comparison and alternatives pages?

The most relevant offering is the MarketMuse Platform, specifically the Optimize, Research, and Strategy tiers [7]. Optimize is the page-level optimization application; Research and Strategy add topic modeling, content planning, and competitive analysis capacity.

MarketMuse describes Optimize as a human-in-the-loop content optimization tool and states that it does not replace a CMS or write content for customers [9]. The Optimize workflow is described as helping users write, review, and optimize content against a topic model [10]. MarketMuse also states that all subscriptions have access to Optimize [11].

For B2B vendor-discovery content specifically, the relevant documented features are:

  • Competitor analysis that gathers Content Score, word count, topic gaps, content-cluster composition, and Topic Authority for competitor pages [12].
  • Competitive content analysis that shows how a page measures up and how to structure it to stand out [13].
  • SERP X-Ray and Heatmap tools for competitive content analysis [15].
  • Recommended questions and brief types including comparison, FAQ, guide, product review, and how-to formats [16].
  • Optimize Brief inputs covering target personas, pain points, content focus, SERP, and user intents [17].

Platforms named different plan labels for the same product. OpenAI named "MarketMuse Platform, especially Optimize, Research, and Strategy tiers." Deepseek and Kimi named "Standard ($149–$199/month) or Team ($399/month)." Anthropic named "Optimize ($99/month), Research ($249/month), Strategy ($499/month)." These labels conflict, and the current public pricing page lists Free, Optimize, Research, and Strategy tiers without dollar amounts [7]. Buyers should treat the Standard/Team naming as unverified.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree MarketMuse does well for B2B content strategy?
  • Is MarketMuse strong at competitive content gap analysis for vendor comparison pages?

Four findings drew agreement across multiple platforms.

Topical research and cluster planning. OpenAI, Anthropic, Deepseek, Grok, and Perplexity all described MarketMuse as strong at topic modeling, cluster planning, or topical-authority mapping [18]. MarketMuse's own materials describe identifying where a site has topic authority, weak spots, and opportunities to take over [19].

Competitive content gap analysis. OpenAI, Anthropic, Deepseek, Grok, and Perplexity described competitor-gap or SERP-competitor analysis as a core workflow [23]. The documented mechanics include Content Score, word count, topic gaps, clusters, and Topic Authority for competitor domains [24].

Optimization guidance rather than full content generation. OpenAI, Anthropic, Deepseek, Grok, and Perplexity agreed that MarketMuse supplies briefs, scores, and structural recommendations rather than finished articles [26]. MarketMuse states it does not replace a CMS or write content for customers [26].

Fit for teams with existing content volume. Anthropic, Google, and OpenAI all tied value to organizations that already publish regularly and have a content inventory to analyze [29]. One review states the platform is ideal for sites with 200+ pages [30].

Agreement among platforms does not establish product quality. It reflects that the same company-owned documentation was available to each platform.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Do AI platforms disagree about whether MarketMuse tracks AI search visibility?
  • Is MarketMuse pricing transparent enough for a B2B buyer to budget without a sales call?

Three material disagreements and uncertainties emerged.

Overall fit rating. Four platforms rated MarketMuse a good fit for this use case (anthropic, deepseek, google, openai). Three rated it mixed (grok, kimi, perplexity). The mixed ratings cluster around the same concern: the study's prompt emphasizes buying-journey prompts and how buyers research solutions, and those platforms judged MarketMuse's coverage of that specific need to be indirect.

AI-search visibility. No cited public source verifies native tracking of ChatGPT, Google AI Overviews, Perplexity, or other generative-answer surfaces [32]. Kimi stated flatly that MarketMuse does not offer tracking of brand mentions, citations, or recommendations across those engines. Deepseek described public materials as not clearly documenting monitoring of buyer prompts inside AI assistants. This is a limitation finding, not a disagreement about a documented feature.

Pricing and plan names. The ranking-stage figures of Standard at $149–$199/month and Team at $399/month could not be verified as current 2026 public prices [35]. Independent sources cite Optimize at $99/month, Research at $249/month, and Strategy at $499/month as historical pricing [37]. One independent source states MarketMuse no longer publishes dollar amounts for any paid tier [40]. Another ties the quote-based shift to the Siteimprove acquisition [41]. The current public pricing page lists tier entitlements but not dollar prices [35].

Ownership transition. The June 2026 terms state that Siteimprove acquired MarketMuse and that services were formerly provided by MarketMuse, Inc. [42]. Siteimprove announced the acquisition in October 2024 [43]. Product ownership, support model, and roadmap implications under Siteimprove are not documented in the supplied sources.

Learning curve. Independent reviews describe a steep learning curve and complex interface [44]. One review estimates a four-to-eight-week onboarding period during which team productivity may temporarily decline [45]. G2 shows a 4.6/5 rating, which one platform noted is inconsistent with a severe usability problem [46]. Whether the difficulty is temporary onboarding or ongoing friction is unresolved.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does MarketMuse support B2B buying-journey content research, or only general SEO topics?
  • What MarketMuse features help a B2B team build competitor-comparison and alternatives pages?

MarketMuse covers content research, competitive analysis, and optimization guidance well, and covers buying-journey prompt research only indirectly.

Content research and topic discovery — advantage. Research provides topic models, related keywords, questions, search volume, CPC, trend data, and up to 1,000 related keywords [47]. Topic Navigator includes buyer-journey-oriented topic variants and questions [47]. Topic Navigator and Research reveal related topics, entities, and questions to cover for any keyword [48]. Public documentation does not establish that MarketMuse identifies account-level buying intent or pipeline impact.

Competitive analysis — advantage. MarketMuse analyzes SERP competitors and competitor domains using Content Score, word count, topic gaps, content clusters, topical coverage, Topic Authority, Personalized Difficulty, and heatmaps [49]. The documented workflow is competitive content and SERP analysis rather than broad market-intelligence or vendor-landscape research.

Optimization guidance — advantage. Optimize compares a page with top-ranking pages, identifies missing topics and coverage gaps, supplies content scores and target scores, and supports exports to Word and Google Docs [51]. Documented optimization metrics include Content Score, topical coverage, Personalized Difficulty, Topic Authority, and intent match [51].

B2B buying-journey prompts — neutral. Research documentation references buyer-journey search behavior, recommended questions, and brief types including comparison, FAQ, product review, guide, and how-to [47]. Public materials do not verify persona-level journey mapping, account-based intent, sales-enablement integration, or conversion attribution. One platform noted that MarketMuse does not model multi-stakeholder B2B buying groups or capture how technical evaluators, economic buyers, and executives research differently [54].

AI-search visibility — limitation. Documented capabilities focus on Google SERP, topical coverage, content inventories, and competitor content [47]. No cited public source verifies native tracking or optimization measurement for ChatGPT, Google AI Overviews, Perplexity, or other generative-answer surfaces.

Operational fit — advantage. The Strategy tier is positioned for SEO, content, and marketing teams at mid-market and enterprise companies, with inventories, documents, dashboards, assignments, due dates, and multiple brief types [56]. The public plan page lists one site inventory for Optimize, Research, and Strategy, though additional sites or topic capacity may require purchases [56].

Company and service continuity — unclear. The June 2026 subscription terms identify Siteimprove as the provider [58]. Buyers should evaluate current product ownership, roadmap, support, data-processing terms, and renewal documents under Siteimprove.

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does MarketMuse cost per month, and are there setup or cancellation fees?
  • What are MarketMuse's renewal, cancellation, and refund terms for a B2B subscription?

Current public pricing is presented by product tier but does not display dollar amounts on the cited pricing page [59]. Pricing confidence is low to moderate across platforms.

Documented tier entitlements (company-owned):

TierUsersTracked topicsBriefs/monthStrategy docs/monthQueries
Free1Not listedNot listedNot listed10/month
Optimize110051100/month
Research31,000103Unlimited
Strategy510,000205Unlimited

These entitlements come from the cited pricing page [59]. The same page does not display dollar amounts.

Conflicting price figures from other sources:

  • Optimize ~$99/month, Research ~$249/month, Strategy ~$499/month [60].
  • Standard ~$149–$199/month, Team ~$399/month [64].
  • Annual equivalents reported at about $999/year, $2,499/year, and $5,499/year [63].
  • A 16% annual discount is reported by one independent source [66].
  • One independent source states MarketMuse no longer publishes dollar amounts for any paid tier [67].

Additional fees. Additional query batches are purchasable, with current price shown during checkout [68]. Additional topic capacity and document packs can be purchased [69]. Managed briefs consume more credits than self-serve briefs and include human editorial work [70]. One independent analysis estimates that labor for content-score iteration and manual effort to act on insights can double the effective monthly expense [71].

Contract and cancellation terms. The June 2026 terms state that subscriptions are prepaid for the subscription term, automatically renew for equivalent periods unless cancelled, and are non-refundable for unused time [72]. Unless an order states otherwise, the term is one month; cancellation stops future renewal when notice is provided before the current term ends [72]. The public help documentation does not establish whether enterprise orders commonly use annual commitments, implementation fees, service-level commitments, or negotiated discounts.

ROI context. One independent source estimates a B2B SaaS team needs three to four additional qualified leads per month to break even on the Research plan [73]. That estimate is inferred, not verified.

Best Suited For

Questions This Section Answers

  • Who gets the most value from MarketMuse for B2B vendor-discovery content?
  • Is MarketMuse worth it for a B2B team publishing ten or more pieces per month?

MarketMuse is best suited to B2B SEO and content teams that prioritize topics and content clusters, compare their coverage with SERP competitors, and already have a website inventory and recurring content production [74].

Specific fits named across platforms:

  • B2B SEO and content teams prioritizing topics and content clusters [74].
  • Teams comparing their content coverage with SERP competitors [76].
  • Organizations with an existing website inventory and recurring content production [74].
  • Marketing teams that need personalized difficulty and topical-authority signals [79].
  • Mid-market to enterprise B2B SaaS companies with five-person-plus content teams [75].
  • B2B marketing and revenue teams that publish ten or more pieces monthly and fund content programs [75].
  • Organizations building competitive intelligence content and solution comparison assets [81].
  • Agencies managing multiple B2B client accounts with content strategy at the core of the engagement [75].

One independent review states that for businesses wanting to invest in building a tech-empowered content team, MarketMuse is a clear winner [83]. Another reports year-over-year organic traffic growth of 45% using MarketMuse [84]. That figure is a single platform-reported review claim and is not independently verified.

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose MarketMuse for AI SEO Tools for B2B Companies?
  • Is MarketMuse a poor fit for teams that mainly need AI citation tracking?

MarketMuse is probably not the best choice for teams whose primary requirement is measuring or influencing how AI assistants describe and recommend vendors.

Named exclusions across platforms:

  • Teams primarily seeking technical SEO crawling, backlink intelligence, or rank tracking [85].
  • Revenue teams needing CRM, pipeline attribution, or buyer-intent data [85].
  • Buyers requiring direct measurement of ChatGPT, Google AI Overview, or other generative-search visibility [85].
  • Small teams needing a low-cost, lightweight brief generator [85].
  • Small businesses and solo marketers with minimal content budgets [87].
  • Teams focused primarily on AI-powered content generation over research and strategy [87].
  • Buyers needing instant pricing transparency or self-serve purchasing without sales calls [88].
  • Organizations requiring ROI breakeven on content spend within one to two months [89].
  • Non-English language content strategies, given limited data coverage outside English [87].
  • Teams whose primary need is tracking brand citations inside ChatGPT, Perplexity, Gemini, or AI Overviews [90].
  • End-to-end automated article writing, direct CMS publishing, and cross-channel distribution [91].

One platform also noted that MarketMuse does not cover information sources that influence B2B buying decisions beyond SERP analysis, such as G2, Capterra, analyst reports, and peer reviews [92].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to MarketMuse for a B2B buyer who needs AI citation tracking?
  • When should a B2B team choose a cheaper content optimization tool over MarketMuse?

Several platforms named conditions under which a different tool fits better. These are platform-reported recommendations, not independently tested comparisons.

When AI-visibility tracking is the priority. Choose a dedicated generative-search visibility platform when the priority is tracking brand mentions and citations in AI-generated answers [93]. Kimi named SEORCE, OmniSEO, and Georion as purpose-built alternatives, citing SEORCE's mapping of AI buyer journeys and tracking across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews [94], OmniSEO's Essentials tier at $89/month covering four channels [95], and Georion Enterprise at $4,999/month with SSO/SAML and a 99.9% SLA [96]. Kimi also cited Semrush's AI Visibility Toolkit at $99/month standalone or $199–$549/month bundled [97]. These figures are platform-reported and not independently verified.

When budget is under $200/month. Choose a lower-cost content brief or writing tool when the team needs simple keyword briefs and AI drafting rather than site-wide topical intelligence [93]. Anthropic named Clearscope at roughly $89–$199/month and Surfer SEO at roughly $89/month as lower-cost alternatives [98].

When technical SEO is the primary need. Choose a technical SEO platform when crawling, indexation, site health, backlinks, and rank monitoring are the primary requirements [93].

When the team lacks SEO expertise. Choose a lighter, more intuitive interface when the marketing team lacks SEO expertise [98].

When CRM or sales-intelligence integration matters. Use a CRM, intent-data, or buyer-intelligence platform alongside MarketMuse when the requirement is account-level buying signals, journey attribution, or pipeline measurement [93]. Anthropic noted that HubSpot, Salesforce, and Apollo.io offer better ecosystem fit for tight CRM and marketing-automation integration [98].

When buyer research must model stakeholder roles. Choose a different approach when buyer research must directly model how technical buyers, procurement, and CFOs evaluate competing vendors rather than SERP patterns [98].

When the team already has an enterprise SEO suite. A dedicated AI-visibility or prompt-tracking tool may be the better incremental purchase if an enterprise SEO suite already covers content optimization [99].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a B2B buyer confirm with MarketMuse before signing a contract?
  • Does MarketMuse support multiple domains, markets, and competitors on one plan?

The supplied platform responses converge on a verification list. Buyers should get written answers before committing.

Pricing and terms. Confirm the exact United States monthly and annual price for Optimize, Research, and Strategy, including taxes and negotiated discounts [100]. Confirm whether subscriptions are month-to-month or annual for the proposed order, and what notice period, refund policy, and renewal terms apply [101]. Confirm the prices and limits for additional queries, tracked topics, documents, users, sites, and managed briefs [102].

Capacity and scope. Confirm whether the proposed plan supports multiple domains, subdomains, markets, and competitors without separate inventory charges [100]. Confirm seat limits, content-inventory caps, and query-volume restrictions that would affect a B2B team's usage [100].

Integrations. Confirm whether Google Search Console, Google Analytics, CMS, CRM, or marketing-automation integrations are available and included [100]. One platform noted limited documented integrations and recommended implementing MarketMuse within broader workflows rather than as a complete solution [105].

Buyer-journey data. Ask what data specifically supports buyer-journey recommendations, and whether the team can distinguish informational, comparison, commercial, and post-purchase intent [106]. Ask how the platform helps map and prioritize buyer-journey keywords across different stakeholder personas [107].

AI-search monitoring. Ask whether MarketMuse provides any current monitoring of ChatGPT, Google AI Overviews, Perplexity, or other generative-answer visibility [100]. Ask how optimization guidance accounts for AI model citation preferences versus traditional search ranking factors [108].

Data freshness and validation. Ask how content scores, Personalized Difficulty, Topic Authority, and competitor data are refreshed and validated [109]. One platform noted that content inventories are updated regularly to support decisions based on fresh data [110].

Post-acquisition continuity. Ask what changed after Siteimprove's acquisition, including data processing, support ownership, service levels, and product roadmap [101]. Ask whether standalone self-serve plans are still purchasable or whether a full Siteimprove bundle is required [112].

Proof of concept. Ask whether a proof of concept can be run on representative B2B topics and compared against existing SEO and pipeline benchmarks [100]. Ask whether the platform can be trialed on a specific competitor and buyer-research use case [107].

Final AI Consensus Verdict

MarketMuse is a good fit for B2B marketing and revenue teams that need topic discovery, content-cluster planning, competitive content analysis, and page-level optimization guidance. Four of seven platforms rated the fit good; three rated it mixed. The strongest documented capabilities are topical research, competitor content-gap analysis, and optimization scoring. The clearest limitation is the absence of verified native tracking for generative-answer visibility, which is central to the study's prompt.

Purchase confidence is reduced by three unresolved issues: current dollar pricing is not published on the cited pricing page, plan names conflict across sources, and the 2026 Siteimprove ownership transition leaves support model and roadmap implications undocumented. MarketMuse should not be treated as a complete buyer-intelligence, technical-SEO, attribution, or generative-search-visibility platform.

For buyers weighing this tool against the wider field, the AI SEO Tools for B2B Companies consensus index compares how each platform was ranked. Buyers evaluating the broader category of ai seo content optimization tools should treat MarketMuse as a content strategy layer that is typically paired with a dedicated AI-visibility monitor.

How This Review Was Produced

This review was produced from a structured multi-platform research run dated 2026-09-18. Seven AI platforms evaluated the same prompt: which AI SEO tools they would recommend for B2B companies needing content research, competitive analysis, topic discovery, optimization guidance, and insights into how buyers research solutions. Four platforms named MarketMuse during ranking discovery; all seven produced fit-research responses.

The article uses only the supplied platform responses, citation catalog, and official-page excerpts. Company-owned citations materially outnumber independent citations in the supplied evidence, so company claims are not described as independently verified. Platform-reported claims without retrieved evidence are labeled as such. Conflicting plan names, prices, and capabilities are described rather than resolved.

Methodology Limitations

  • Platform-reported research dates differ from the authoritative run date. Deepseek reported 2026-01-15; the other six platforms reported 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness.
  • All included platforms evaluated fit, but the platform-mention count reflects only platforms that named MarketMuse during ranking discovery.
  • The supplied URLs were collected from platform responses and were not independently validated.
  • Company-owned citations materially outnumber independent citations; company claims are not independently verified.
  • Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts.
  • Conflicting product names, pricing, and capabilities were not resolved by guessing. Buyers should verify current plan names, dollar pricing, and feature availability directly.
  • No personal testing, customer experience, or independent verification was performed for this review.
  • Agreement among AI platforms does not establish product quality.

Explore more ai seo content optimization guidance in the category directory.

Sources

Company-Owned Sources

Independent Sources

  • Semrush AI Review 2026: Pricing, AI Toolkit & Verdict: https://aiagentsquare.com/agents/semrush-ai
  • MarketMuse Review (2025) - AI Flow Review: https://aiflowreview.com/marketmuse-review-2025/
  • MarketMuse Pricing 2026 | AI:PRODUCTIVITY: https://aiproductivity.ai/pricing/marketmuse/
  • MarketMuse Pricing 2026: Plans, Costs & Comparison: https://checkthat.ai/brands/marketmuse/pricing
  • MarketMuse Pricing 2026: 5 Plans from Free–$999/per month: https://costbench.com/software/ai-seo-tools/marketmuse/
  • MarketMuse Pricing in 2026: Plans, True Costs, and When It's Worth It | Spike AI: https://getspike.ai/blog/marketmuse-pricing/
  • MarketMuse Review 2026: Pricing, Features, Pros & Cons | SalesHive: https://saleshive.com/vendors/marketmuse
  • 24 Best MarketMuse Alternatives (Free, Paid and Cheaper) in 2025: https://searchatlas.com/blog/marketmuse-review/
  • OmniSEO Review 2026: Pricing, Features & Alternatives: https://toolchase.com/tool/omniseo/
  • MarketMuse Pricing 2026 | Capterra: https://www.capterra.com/p/144457/MarketMuse/pricing/
  • MarketMuse pricing listing (third-party: https://www.g2.com/products/marketmuse/pricing
  • MarketMuse Reviews 2026: Details, Pricing, & Features | G2: https://www.g2.com/products/marketmuse/reviews
  • MarketMuse Customer Reviews 2024 | SoftwareReviews: https://www.softwarereviews.com/products/marketmuse
  • MarketMuse 2026 Verified Reviews, Review Insights, Pros & Cons: https://www.trustradius.com/products/marketmuse/reviews/all
  • Additional AI research evidence112 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c2
    3. AI research evidence record openai:c3
    4. AI research evidence record openai:c9
    5. AI research evidence record anthropic:19-5
    6. AI research evidence record anthropic:12-2
    7. AI research evidence record openai:c4
    8. AI research evidence record perplexity:2
    9. AI research evidence record openai:c9
    10. AI research evidence record perplexity:5
    11. AI research evidence record perplexity:9
    12. AI research evidence record anthropic:21-1
    13. AI research evidence record anthropic:24-1
    14. AI research evidence record openai:c6
    15. AI research evidence record anthropic:26-2
    16. AI research evidence record openai:c10
    17. AI research evidence record anthropic:23-1
    18. AI research evidence record openai:c2
    19. AI research evidence record anthropic:15-13
    20. AI research evidence record deepseek:c1
    21. AI research evidence record grok:web:0
    22. AI research evidence record perplexity:15
    23. AI research evidence record openai:c1
    24. AI research evidence record anthropic:21-1
    25. AI research evidence record perplexity:1
    26. AI research evidence record openai:c9
    27. AI research evidence record anthropic:23-1
    28. AI research evidence record perplexity:5
    29. AI research evidence record anthropic:12-2
    30. AI research evidence record google:spike_ai_2026
    31. AI research evidence record openai:c4
    32. AI research evidence record openai:c2
    33. AI research evidence record deepseek:c2
    34. AI research evidence record kimi:marketmuse-2024
    35. AI research evidence record openai:c4
    36. AI research evidence record deepseek:c3
    37. AI research evidence record anthropic:4-1
    38. AI research evidence record grok:web:1
    39. AI research evidence record grok:web:2
    40. AI research evidence record anthropic:4-7
    41. AI research evidence record anthropic:4-9
    42. AI research evidence record openai:c8
    43. AI research evidence record anthropic:10-1
    44. AI research evidence record anthropic:16-7
    45. AI research evidence record google:spike_ai_2026
    46. AI research evidence record anthropic:33-7
    47. AI research evidence record openai:c2
    48. AI research evidence record anthropic:46-2
    49. AI research evidence record openai:c1
    50. AI research evidence record openai:c6
    51. AI research evidence record openai:c3
    52. AI research evidence record openai:c9
    53. AI research evidence record openai:c10
    54. AI research evidence record anthropic:23-1
    55. AI research evidence record openai:c5
    56. AI research evidence record openai:c4
    57. AI research evidence record openai:c7
    58. AI research evidence record openai:c8
    59. AI research evidence record openai:c4
    60. AI research evidence record anthropic:4-1
    61. AI research evidence record grok:web:1
    62. AI research evidence record grok:web:2
    63. AI research evidence record perplexity:4
    64. AI research evidence record deepseek:c3
    65. AI research evidence record kimi:marketmuse-2024
    66. AI research evidence record anthropic:6-14
    67. AI research evidence record anthropic:4-7
    68. AI research evidence record openai:c11
    69. AI research evidence record openai:c7
    70. AI research evidence record openai:c12
    71. AI research evidence record anthropic:8-4
    72. AI research evidence record openai:c8
    73. AI research evidence record anthropic:8-7
    74. AI research evidence record openai:c4
    75. AI research evidence record anthropic:12-2
    76. AI research evidence record openai:c1
    77. AI research evidence record anthropic:21-1
    78. AI research evidence record google:spike_ai_2026
    79. AI research evidence record openai:c3
    80. AI research evidence record anthropic:15-13
    81. AI research evidence record anthropic:24-1
    82. AI research evidence record anthropic:26-2
    83. AI research evidence record anthropic:36-5
    84. AI research evidence record anthropic:33-7
    85. AI research evidence record openai:c4
    86. AI research evidence record kimi:marketmuse-2024
    87. AI research evidence record anthropic:12-2
    88. AI research evidence record anthropic:4-7
    89. AI research evidence record anthropic:8-7
    90. AI research evidence record deepseek:c2
    91. AI research evidence record google:inbounder_vs_marketmuse
    92. AI research evidence record anthropic:23-1
    93. AI research evidence record openai:c4
    94. AI research evidence record kimi:seorce-2024
    95. AI research evidence record kimi:omniseo-review-2026
    96. AI research evidence record kimi:georion-2024
    97. AI research evidence record kimi:semrush-ai-2026
    98. AI research evidence record anthropic:12-2
    99. AI research evidence record deepseek:c2
    100. AI research evidence record openai:c4
    101. AI research evidence record openai:c8
    102. AI research evidence record openai:c7
    103. AI research evidence record openai:c11
    104. AI research evidence record openai:c12
    105. AI research evidence record anthropic:16-7
    106. AI research evidence record openai:c2
    107. AI research evidence record anthropic:23-1
    108. AI research evidence record kimi:marketmuse-2024
    109. AI research evidence record openai:c3
    110. AI research evidence record perplexity:15
    111. AI research evidence record anthropic:10-1
    112. AI research evidence record google:inbounder_vs_marketmuse

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
43
Ranking mentions
4 of 7
Platform share
57%
Final consensus rank
#6

Research trail and source mix

Configured platforms

openai, anthropic, deepseek, grok, perplexity, kimi, google

Source mix

16 independent · 27 company-owned

Evidence support

39 direct · 3 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 a450f7f35f6e8ac90aac708c8d095132f0a58ee239a551f83ffd86a488f79327