Answer Capsule
MarketMuse is a qualified but conditional fit for enterprise AI SEO programs. Three of seven platforms named it during ranking discovery — Google, OpenAI, and Perplexity — each at rank 7, giving it a 42.9% share of included platform responses and an average listed rank of 7.0. Its strongest case is scalable content intelligence: automated inventories, proprietary topic modeling, Personalized Difficulty scoring, and competitive SERP analysis for large publishing operations. The main limitation is that it is not a standalone enterprise SEO suite. Public evidence does not verify multi-brand governance, executive reporting depth, transparent enterprise pricing, or dedicated AI-search visibility measurement, and the Siteimprove acquisition has moved pricing behind a demo-and-quote model.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 3 of 7 platforms (Google, OpenAI, Perplexity) |
| Share of included platform responses | 42.9% |
| Average listed rank | 7.0 |
| Best listed rank | 7 |
| Relevant product/model/plan | MarketMuse Strategy / MarketMuse Enterprise via Siteimprove |
| Overall use-case fit | Good for content-led enterprise SEO; mixed-to-uncertain as a standalone enterprise AI SEO platform |
| Research date | 2026-09-18 |
Why MarketMuse Qualified for This Study
Questions This Section Answers
- Is MarketMuse a good choice for AI SEO Platforms for Enterprise Companies?
- Why did only three of seven AI platforms name MarketMuse for enterprise AI SEO?
MarketMuse qualified because it cleared the study's minimum-mention threshold and was named by three of seven platforms during ranking discovery: Google, OpenAI, and Perplexity [1]. Each of those three placed it at rank 7, producing an average listed rank of 7.0 and a 42.9% share of included platform responses. The remaining four platforms — Anthropic, DeepSeek, Grok, and Kimi — evaluated MarketMuse's fit but did not name it in their ranked recommendations.
The qualification rests on documented capability rather than ranking position. MarketMuse is publicly positioned as a content strategy and intelligence platform, and its pricing page states the Strategy tier is intended for agencies and SEO, content, and marketing teams at mid-market and enterprise companies publishing a lot of content [3]. Siteimprove completed its acquisition of MarketMuse in November 2024 and now offers MarketMuse as an add-on to a Siteimprove package [5].
That acquisition cuts both ways for this use case. It gives MarketMuse a plausible path into a broader enterprise search, accessibility, and marketing-performance program [8]. It also introduces strategic ambiguity: pricing is no longer published, the integration roadmap is unclear, and the exact enterprise packaging is not fully disclosed [10].
This review sits inside a wider comparison of AI SEO Platforms for Enterprise Companies, where MarketMuse is one of several evaluated options.
The Product, Model, Plan, or Service Most Relevant to AI SEO Platforms for Enterprise Companies
Questions This Section Answers
- Which MarketMuse plan should an enterprise buyer choose for multi-brand AI SEO?
- Is MarketMuse Enterprise a real published tier, or is it a custom quote?
The relevant commercial path is MarketMuse Strategy, with custom enterprise arrangements layered on top through Siteimprove. There is no clearly priced public "MarketMuse Enterprise" tier in the sources reviewed; Strategy and custom enterprise orders appear to be the two real options [13].
Strategy is the highest publicly described plan. Public plan limits include five users, 10,000 tracked topics, 20 content briefs per month, and five strategy documents per month [13]. Grok's research describes Strategy as supporting 10,000 tracked topics, five users, 20 briefs per month, all brief types, and full access to Topic Navigator, Optimize, SERP X-Ray, and Heatmap [16]. Those two descriptions align on capacity.
The product itself is a content intelligence and optimization platform, not a full SEO suite. It automates content inventories, generates topic models and content plans, and produces structured briefs [18]. Core workflows include Optimize, Analyze Competitors, Research Topics, and X-Ray SERP [22].
One scope point matters for buyers: MarketMuse retired its former First Draft/NLG product in 2022 and stated it would focus on other product areas [24]. Buyers should treat it as an intelligence, planning, briefing, and optimization platform rather than a full AI writing suite.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree MarketMuse does well for enterprise content teams?
- Is MarketMuse's competitive research strong enough for enterprise content planning?
The clearest cross-platform agreement is that MarketMuse is strong at content strategy, topical modeling, and competitive content analysis — and weak as a standalone enterprise SEO suite. Six of seven platforms rated it good or mixed on content fit while flagging the same structural gaps.
On scalable content optimization, OpenAI, Anthropic, Google, and Grok all describe proprietary topic modeling rather than commodity keyword data. MarketMuse uses a patented topic graph to map semantic gaps and recommend structural content updates across large domains [25]. It produces cluster analyses and content plans in minutes using proprietary data and AI rather than commodity APIs [27].
On competitive research, the platforms converge on the same feature set: SERP X-Ray, Heatmap, head-to-head comparison, Content Score for competing pages, topic gaps, cluster composition, and Personalized Difficulty [28]. Personalized Difficulty evaluates how hard it is for a specific domain to rank based on its existing topical authority, rather than applying a generic difficulty score [36].
On workflow, OpenAI and Anthropic both note that Strategy supports assigning content, tracking progress, storing writing, tracking due dates, and adding notes, with a documented analysis-to-plan-to-brief workflow [38].
On the limitation side, the agreement is equally consistent. MarketMuse does not natively handle backlink analysis, local SEO, or in-depth technical audits, requiring supplementary subscriptions or the broader Siteimprove package [26]. It is not a fully automated, hands-off publishing tool [41].
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's enterprise pricing and multi-brand governance actually documented?
The platforms disagreed most on fit rating and on whether MarketMuse measures AI-search visibility. Fit ratings split three good (OpenAI, Anthropic, Google) against four mixed (DeepSeek, Grok, Kimi, Perplexity). That split is not a quality verdict — it reflects how much weight each platform placed on governance, pricing transparency, and AI-search measurement.
AI-search insights produced the sharpest conflict. Anthropic's independent sources state MarketMuse does not support GEO-focused optimization or prompt-level analysis for AI-generated answers and lacks visibility metrics such as share of voice, brand mention tracking, or AI response positioning [42]. Kimi reports no verified documentation of native tracking across ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, Copilot, or Meta AI [45]. Perplexity found the evidence does not clearly verify dedicated AI-search visibility reporting for the current enterprise offer [47]. Against that, Siteimprove marketing references SEO for the next generation of search including Search Generative Experiences, but that is a partial-support company claim rather than product documentation [51]. OpenAI's position is that AI-search functionality should be treated as unclear unless the vendor demonstrates current generative-search monitoring in a live evaluation [52].
Pricing produced a second conflict. Anthropic reports that MarketMuse has eliminated publicly listed pricing, with the current pricing page displaying four tiers and feature matrices but zero dollar amounts [55]. Perplexity found public pricing inconsistent across sources, with third-party listings placing paid tiers roughly from $99 to $499 per month while enterprise pricing is described as custom or opaque [57]. Kimi reports historical pre-acquisition plans at roughly $600/month Standard and $1,000+/month Premium, with enterprise custom [59]. Grok lists Strategy at approximately $499/month or $5,499/year with custom enterprise pricing via sales [60]. These figures do not reconcile, and no official post-acquisition price list was published in the sources reviewed.
Multi-brand governance is a third unresolved area. OpenAI found that the public pricing page says Strategy can add more sites as needed but does not specify enterprise limits for brands, markets, business units, permissions, approval controls, or cross-property governance [62]. Anthropic reports that standard plans are designed for single-domain inventory and that agencies need a custom or enterprise plan to manage multiple client sites [64]. DeepSeek found no public information confirming enterprise governance features such as role-based access or audit logs [66].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does MarketMuse support the workflow, reporting, and governance an enterprise AI SEO program needs?
- How does MarketMuse handle multi-brand and multi-market content operations?
MarketMuse covers content optimization, competitive research, and editorial workflow well, and covers governance, executive reporting, and AI-search insights weakly or not at all. The table below maps each criterion in this study's category definition to the supplied evidence.
| Enterprise criterion | Assessment | Evidence |
|---|---|---|
| Scalable content optimization | Advantage | Strategy tier positioned for large teams; 10,000 tracked topics, 20 briefs/month, 5 strategy documents/month, site inventory, dashboards, content scoring, topical coverage, Personalized Difficulty |
| Competitive research | Advantage | Top-ranking page and competitor analysis, topic gaps, content scores, cluster composition, topic authority, SERP X-Ray, Heatmap |
| Workflow management | Advantage | Assign content, track progress, store writing, track due dates, add notes; analysis-to-plan-to-brief workflow |
| Reporting and executive measurement | Neutral | Dashboards and metrics including estimated traffic, value per month, content score, topical coverage; depth of executive reporting and cross-brand rollups not clearly established |
| Governance and multi-brand operations | Unclear | "Add more sites as needed" stated publicly, but brand, market, business-unit, permission, and approval limits unspecified |
| AI-search insights | Unclear to limitation | Topic modeling, intent analysis, SERP analysis, recommended questions; dedicated generative-engine or AI-overview visibility measurement not clearly documented |
| Integration with broader search and content program | Advantage with caveats | Siteimprove provides services formerly offered by MarketMuse; intended combination of SEO, content strategy, accessibility, advertising, and marketing performance; complete integration list not published |
Two operational details matter for enterprise deployment. First, content briefs export to Google Docs and Word, and the platform supports API and webhook access for custom integrations [67]. Second, REST API access is reported as gated behind high-tier plans with limited public documentation [70].
Performance at enterprise scale is not independently benchmarked. Anthropic's sources report that report generation and site crawls can be slow for very large domains, without specific benchmarks or performance SLAs for enterprise-tier usage [71].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does MarketMuse cost per month for an enterprise plan, and are there setup fees?
- What contract, renewal, and cancellation terms apply to a MarketMuse enterprise subscription?
MarketMuse no longer publishes dollar pricing for its enterprise-relevant tiers, and the sources reviewed do not agree on historical figures. Buyers should expect a demo-and-quote process.
The current pricing page displays plan tiers and feature matrices without dollar amounts, and all paid tiers direct users to "Book a demo" rather than a self-serve purchase flow [72]. Independent sources report conflicting historical figures: approximately $99/month Optimize, $249/month Research, and $499/month Strategy [75]; roughly $99 to $499 per month across tiers depending on source [78]; approximately $600/month Standard and $1,000+/month Premium pre-acquisition [82]; and Strategy at approximately $499/month or $5,499/year [83]. These are platform-reported and unverified, and they do not reconcile.
On fees, the sources flag several potential add-ons. Additional credits for content brief generation are reported at roughly $100 per credit by one third-party source, though current rates are not published [85]. Managed Briefs are described as a premium optional service consuming four credits per brief [86]. Additional sites, expanded limits, managed briefs, services, or custom enterprise arrangements are not publicly quantified [86].
On contract terms, the current Siteimprove terms state that each subscription begins on the start date in the applicable order and continues for the stated Subscription Term, which defaults to one month unless the order states otherwise, with automatic renewal for successive equal periods unless cancelled [88]. Either party may cancel at any time with notice, and cancellation stops further renewal while access continues through the end of the then-current term; all fees are non-refundable and no credit is given for unused portions (official:C3). Late payments may bear interest at the lower of 2% per month or the highest rate permitted by law, and Siteimprove may suspend services for overdue invoices (official:C3). The reviewed public terms do not provide a universal enterprise cancellation schedule or standardized renewal language, so the order form and master agreement govern [88].
Grok's research notes annual billing discounts of roughly 20% and likely custom enterprise contracts [83]. Perplexity notes annual billing discounts are mentioned by third-party sources but exact terms are not consistently verified [81].
Best Suited For
Questions This Section Answers
- Who gets the most value from MarketMuse for enterprise AI SEO?
- Is MarketMuse worth it for a large publisher or media brand?
MarketMuse fits large, content-led organizations with dedicated SEO and content strategy teams. The strongest fits across the platform responses are:
- Large content organizations prioritizing content inventories, topic clusters, content gaps, briefs, and optimization workflows [89].
- Publisher and media companies with editorial teams that need AI-guided content briefs and structural optimization guidance [91].
- Enterprises managing complex competitive landscapes where detailed SERP analysis and Personalized Difficulty scoring inform content prioritization [93].
- Multi-brand organizations where each brand operates a separate content inventory and does not require cross-brand governance inside MarketMuse [95].
- Organizations already invested in Siteimprove products seeking consolidated content, SEO, and accessibility tools [97].
- Teams needing topic modeling and content gap analysis as primary use cases rather than technical SEO monitoring [100].
Independent reviews describe MarketMuse as best for enterprise-level companies or large agencies with dedicated content strategy teams [101]. One review notes it is a heavy-duty platform that demands significant time and budget to master [102], and another notes it requires deep site-wide audits and internal expertise to turn complex data into a solid content strategy [103].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose MarketMuse for enterprise AI SEO?
- Is MarketMuse a poor fit for enterprises that need technical SEO and backlink analysis?
MarketMuse is a poor fit when the primary requirement is a single platform covering technical SEO, rank tracking, backlink intelligence, and executive dashboards. The platforms consistently flag these exclusions:
- Buyers requiring a fully documented enterprise SEO system covering technical SEO, rank tracking, backlink intelligence, international SEO operations, and executive dashboards in one product [104].
- Enterprises requiring native multi-brand management, centralized governance, and unified reporting across subsidiary brands or business units in a single tool [107].
- Organizations requiring clearly published enterprise pricing, service-level commitments, or data-residency details before procurement [110].
- Teams whose central requirement is measurement of AI-overview, generative-engine, citation, or answer visibility [113].
- Enterprises with limited internal SEO expertise seeking a hands-off, automated content solution requiring minimal training [117].
- Teams seeking fully automated, hands-off "write-and-publish" programmatic AI content generation [119].
Budget-constrained buyers should also weigh the shift to quote-based enterprise sales, which independent sources describe as likely increasing costs post-acquisition [110].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to MarketMuse for an enterprise that needs multi-brand governance?
- When should an enterprise choose a different AI SEO platform instead of MarketMuse?
Several platform responses name specific alternatives and the conditions that trigger them. These are platform-reported recommendations, not independently verified comparisons.
| If the enterprise needs | Consider | Source |
|---|---|---|
| Native multi-brand management, unified governance, consolidated reporting across 5+ brands | Conductor or BrightEdge | , |
| Extensive technical SEO auditing, site health monitoring, backlink analysis as core components | Semrush Enterprise, Conductor, or BrightEdge | |
| Dedicated AI-search visibility tracking across multiple engines | Profound Enterprise or Conductor Intelligence | , |
| Standalone procurement with transparent enterprise pricing and terms | Conductor or BrightEdge | , |
| Technical SEO monitoring, crawler log analysis, and site health governance | JetOctopus Enterprise or Conductor Monitoring | |
| Rapid deployment without broader platform commitment | SEORCE or Georion Enterprise | , |
| Lower-cost content planning with open pricing | Scalenut | |
| Full-stack multi-brand governance and executive dashboards | Semrush Enterprise |
OpenAI's guidance is to choose a broader enterprise SEO suite when technical SEO, rank tracking, backlink intelligence, international operations, large-scale reporting, and executive dashboards are the primary requirements; choose a specialized AI-search monitoring product when AI visibility measurement is central; and choose a lower-cost content-brief tool when site inventory, strategic planning, competitive modeling, and enterprise workflow depth are not needed [121].
Anthropic adds that enterprises with zero Siteimprove footprint seeking a standalone tool without ecosystem lock-in should evaluate Conductor or standalone content platforms such as Clearscope or Surfer SEO [123]. Google notes that teams needing an all-in-one standalone platform including link-building, local SEO, and technical site health without buying a governance tool should look at Semrush or Ahrefs [124].
For buyers comparing across the full field, the broader ai seo content optimization directory covers adjacent categories.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with MarketMuse before signing an enterprise contract?
- Which MarketMuse enterprise terms are undocumented and need written confirmation?
The platform responses converge on a verification list. Buyers should get written answers to each item before committing.
- What exact Siteimprove or MarketMuse SKU, user count, site count, topic allowance, and monthly document limits apply to this enterprise order [125]?
- Can the platform manage separate brands, countries, domains, subdomains, business units, and competitor sets with role-based access and consolidated reporting [125]?
- Which integrations are currently supported for CMS, analytics, Google Search Console, project management, BI, and Siteimprove products [125]?
- Does the current product measure AI Overviews, ChatGPT, Perplexity, Gemini, citations, answer inclusion, or generative-search share of voice [131]?
- What executive dashboards, API access, exports, scheduled reports, data retention, and custom metrics are included [134]?
- Are implementation, migration, training, managed briefs, additional sites, additional users, API usage, or professional services separately charged [125]?
- What are the renewal, cancellation, data export, service-level, security, privacy, and data-residency terms in the order form [137]?
- Which AI writing capabilities remain available after the retirement of First Draft/NLG [138]?
- Is MarketMuse available as a standalone purchase, or is a Siteimprove platform subscription required [139]?
- How does MarketMuse handle site crawls and report generation at your specific domain size, and can the vendor provide performance benchmarks or test environment access [141]?
Final AI Consensus Verdict
MarketMuse is a good fit for enterprise content-led SEO programs and a mixed-to-uncertain fit as a standalone enterprise AI SEO platform. Three of seven platforms named it during ranking discovery at rank 7, and the fit ratings split three good against four mixed.
The consensus case for MarketMuse is narrow but real: proprietary topic modeling, automated content inventories, Personalized Difficulty scoring, competitive SERP analysis, and documented editorial workflow. For large publishers, media brands, and content organizations prioritizing topical authority over automation, that combination is difficult to replicate with commodity keyword tools.
The consensus case against treating it as a complete enterprise platform is equally consistent. Public evidence does not verify multi-brand governance, executive reporting depth, transparent enterprise pricing, or dedicated AI-search visibility measurement. The Siteimprove acquisition has moved pricing behind a demo-and-quote model and left the integration roadmap unclear. MarketMuse also retired its First Draft/NLG product in 2022, so buyers should not assume a full AI writing suite.
The practical verdict: MarketMuse is worth evaluating as the content intelligence layer of an enterprise search program, particularly for Siteimprove customers. It should not be procured as the only enterprise SEO platform without written confirmation on governance, reporting, AI-search measurement, and total cost of ownership.
How This Review Was Produced
This review was produced from a structured multi-platform research run dated 2026-09-18. Seven AI platforms evaluated MarketMuse's fit for the enterprise AI SEO use case: OpenAI (gpt-5.6-luna, native search), Anthropic (claude-haiku-4-5-20251001, native search), Google (gemini-3.5-flash, native search), Grok (x-ai/grok-4.3, server tool search), Kimi (moonshotai/kimi-k2.6, web plugin search), Perplexity (perplexity/sonar, native options search), and DeepSeek (deepseek-v4-flash, no search enabled).
Three of those seven platforms — Google, OpenAI, and Perplexity — named MarketMuse during ranking discovery, each at rank 7. The remaining four evaluated fit without naming it in their ranked recommendations. All platform outputs carry a verification status of platform-reported and not independently verified.
Citations in this article use the supplied citation IDs from each platform's response. Company-owned sources include MarketMuse and Siteimprove pages. Independent sources include third-party reviews and directories. Where a claim rests only on a platform's assertion without a retrieved source, it is labeled platform-reported.
Methodology Limitations
Several limitations apply to this review and should be weighed before purchase decisions.
Platform-reported research dates differ from the authoritative run date. DeepSeek's response carries a research date of 2026-01-15, while the study run date is 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness [142].
DeepSeek's research was conducted with search disabled, so its findings rest on model knowledge rather than retrieved sources. Its claims should be treated as platform-reported rather than current facts.
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.
Pricing conflicts were not resolved. Historical figures of approximately $99/$249/$499 per month, approximately $600/$1,000+ per month, and approximately $499 per month or $5,499 per year appear across sources and do not reconcile. No official post-acquisition price list was published in the sources reviewed.
Product naming conflicts were not resolved. Sources alternate between Optimize, Research, Strategy, Standard, Premium, and custom Enterprise descriptions. The exact composition of the current enterprise offer is unclear.
AI-search capability is unresolved. Independent sources state MarketMuse does not track AI-generated answer positioning, while Siteimprove marketing references SEO for next-generation search. No primary product documentation confirms or denies native multi-engine tracking.
Performance at enterprise scale is not independently benchmarked. Reports of crawl slowness for very large domains lack specific benchmarks or SLAs.
Agreement among AI platforms does not prove product quality. It indicates that multiple models surfaced similar evidence from similar public sources.
Sources
Company-Owned Sources
- How to Conduct Competitive Content Analysis Using MarketMuse: https://blog.marketmuse.com/how-to-conduct-competitive-content-analysis-using-marketmuse/
- Configure Your Document - MarketMuse Knowledge Base: https://docs.marketmuse.com/documents/creating-an-analysis-document/
- Competitor Analysis - MarketMuse Knowledge Base: https://docs.marketmuse.com/faq/faq-features/competitor-analysis/
- Enterprise AI Visibility Platform: SSO, SLA, Scale | Georion: https://georion.app/solutions/enterprise
- MarketMuse Help Center: https://help.marketmuse.com/support/solutions/articles/80001167719
- Competitor Analysis - MarketMuse Help Center: https://help.marketmuse.com/support/solutions/articles/80001167730-competitor-analysis
- Feature Sunsets March 2022: https://help.marketmuse.com/support/solutions/articles/80001167825-feature-sunsets-march-2022
- Enterprise Tech SEO Platform for Google & AI Search - JetOctopus: https://jetoctopus.com/enterprise/
- SEORCE - AI-Powered SEO Platform: https://seorce.com/product
- AI Content Planning and Optimization Software - MarketMuse: https://www.marketmuse.com/
- Get Started With MarketMuse: https://www.marketmuse.com/book-demo/
- Pricing - MarketMuse: https://www.marketmuse.com/pricing/
- Siteimprove announcement - MarketMuse: https://www.marketmuse.com/siteimprove/
- Terms of Service - MarketMuse: https://www.marketmuse.com/terms-of-service/
- MarketMuse Metrics: https://www.marketmuse.com/wp-content/uploads/2023/03/MarketMuse-Metrics.pdf
- Siteimprove Acquires MarketMuse: https://www.siteimprove.com/
- My journey from MarketMuse to Siteimprove: https://www.siteimprove.com/blog/my-journey-from-marketmuse-to-siteimprove/
- Siteimprove has acquired MarketMuse: https://www.siteimprove.com/blog/siteimprove-to-acquire-marketmuse/
- Unlock Your Content’s Full Potential with Siteimprove + MarketMuse: https://www.siteimprove.com/hello/unlock-your-contents-full-potential-with-siteimprove-marketmuse/
- Siteimprove Completes Acquisition of MarketMuse | Press Release: https://www.siteimprove.com/news/siteimprove-completes-acquisition-of-marketmuse/
- Siteimprove Unveils AI-Driven SEO Intelligence Suite Powered by MarketMuse: https://www.siteimprove.com/news/siteimprove-unveils-seo-intelligence-suite/
- Siteimprove Completes Acquisition of MarketMuse | Press Release: https://www.siteimprove.com/press/siteimprove-completes-acquisition-of-marketmuse/
Additional AI research evidence142 records
- AI research evidence record google:1.1.3
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:20-8
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record openai:c8
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:15-2
- AI research evidence record perplexity:c6
- AI research evidence record openai:c1
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c7
- AI research evidence record grok:web:0
- AI research evidence record grok:web:8
- AI research evidence record anthropic:5-2
- AI research evidence record anthropic:7-1
- AI research evidence record anthropic:7-2
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:28-3
- AI research evidence record openai:c11
- AI research evidence record google:2.2.1
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:12-6
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:28-3
- AI research evidence record anthropic:31-2
- AI research evidence record anthropic:31-3
- AI research evidence record anthropic:32-5
- AI research evidence record anthropic:32-6
- AI research evidence record anthropic:32-7
- AI research evidence record google:1.1.4
- AI research evidence record google:2.2.4
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record google:2.2.9
- AI research evidence record google:1.4.8
- AI research evidence record anthropic:43-1
- AI research evidence record anthropic:43-2
- AI research evidence record anthropic:43-4
- AI research evidence record kimi:conductor-review-tryanalyze
- AI research evidence record kimi:profound-review-dupple
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c8
- AI research evidence record anthropic:25-7
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c7
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:15-2
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c7
- AI research evidence record kimi:marketmuse-pricing-2026
- AI research evidence record grok:web:0
- AI research evidence record grok:web:8
- AI research evidence record openai:c1
- AI research evidence record openai:c6
- AI research evidence record anthropic:17-12
- AI research evidence record anthropic:17-13
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:36-9
- AI research evidence record anthropic:30-2
- AI research evidence record anthropic:35-7
- AI research evidence record anthropic:40-7
- AI research evidence record anthropic:40-2
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:15-2
- AI research evidence record anthropic:15-6
- AI research evidence record anthropic:14-1
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:12-8
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c7
- AI research evidence record perplexity:c8
- AI research evidence record kimi:marketmuse-pricing-2026
- AI research evidence record grok:web:0
- AI research evidence record grok:web:8
- AI research evidence record anthropic:15-12
- AI research evidence record openai:c1
- AI research evidence record openai:c6
- AI research evidence record openai:c9
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:5-2
- AI research evidence record anthropic:7-1
- AI research evidence record google:1.1.4
- AI research evidence record google:2.2.4
- AI research evidence record anthropic:17-12
- AI research evidence record anthropic:17-13
- AI research evidence record openai:c8
- AI research evidence record anthropic:20-2
- AI research evidence record perplexity:c3
- AI research evidence record kimi:marketmuse-siteimprove-integration
- AI research evidence record anthropic:3-6
- AI research evidence record anthropic:6-6
- AI research evidence record anthropic:3-7
- AI research evidence record openai:c1
- AI research evidence record google:1.1.3
- AI research evidence record google:2.2.9
- AI research evidence record anthropic:17-12
- AI research evidence record anthropic:17-13
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:15-2
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:43-1
- AI research evidence record anthropic:43-2
- AI research evidence record anthropic:43-4
- AI research evidence record kimi:conductor-review-tryanalyze
- AI research evidence record anthropic:3-7
- AI research evidence record anthropic:6-6
- AI research evidence record google:1.4.8
- AI research evidence record anthropic:17-4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-2
- AI research evidence record google:1.1.3
- AI research evidence record openai:c1
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:17-12
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:30-2
- AI research evidence record anthropic:35-7
- AI research evidence record openai:c2
- AI research evidence record anthropic:43-1
- AI research evidence record kimi:conductor-review-tryanalyze
- AI research evidence record openai:c5
- AI research evidence record anthropic:40-7
- AI research evidence record anthropic:15-12
- AI research evidence record openai:c9
- AI research evidence record openai:c11
- AI research evidence record kimi:marketmuse-siteimprove-integration
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:40-2
- AI research evidence record deepseek:c1
Independent Sources
- MarketMuse Review (2025) - AI Flow Review: https://aiflowreview.com/marketmuse-review-2025/
- MarketMuse Features & Pricing: Is This AI Content Planning & Optimization Tool Worth It? 2026 Review: https://ampifire.com/blog/marketmuse-features-pricing-is-this-ai-content-planning-optimization-tool-worth-it-2026-review/
- MarketMuse Pricing 2026: Plans, Costs & Comparison - MarketMuse | CheckThat.ai: https://checkthat.ai/brands/marketmuse/pricing
- MarketMuse Pricing Plans and Tiers Compared (2026: https://comparetiers.com/tools/marketmuse
- MarketMuse Pricing 2026: 5 Plans from Free–$999/per month: https://costbench.com/software/ai-seo-tools/marketmuse/
- BrightEdge Review 2026: Pricing, Data Cube Explained & Honest Verdict: https://crawlraven.com/blog/brightedge-review
- Profound Review (2026): Is the Enterprise AI Visibility Tool Worth It?: https://dupple.com/learn/profound-review
- Surfer SEO vs Clearscope vs MarketMuse – A Complete Guide for Marketing Leaders in 2026: https://genesysgrowth.la/blog/surfer-seo-vs-clearscope-vs-marketmuse
- MarketMuse Pricing in 2026: Plans, True Costs, and When It's Worth It | Spike AI: https://getspike.ai/blog/marketmuse-pricing/
- MarketMuse vs. Nukipa: Enterprise Tool vs. Mid-Market Solution: https://nukipa.de/en/marketmuse-vs-nukipa/
- MarketMuse Review 2026: Pricing, Features, Pros & Cons: https://saleshive.com/blog/marketmuse-review-pricing-features/
- MarketMuse Review 2026: Pricing, Features, Pros & Cons | SalesHive: https://saleshive.com/vendors/marketmuse
- MarketMuse Review (2026): Features, Pricing, and Pros &: https://searchatlas.com/blog/marketmuse-review/
- MarketMuse: AI content planning, briefs, and SERP analysis: https://theaireports.com/seo/marketmuse/
- MarketMuse Review 2026 — Boost Content Strategy with AI Insights: https://theaitoolsbox.com/tool/marketmuse-review/
- Profound vs Conductor vs BrightEdge: Enterprise AEO Platforms Compared for SEO Teams in 2026: https://toolsolved.com/guides/profound-vs-conductor-vs-brightedge-enterprise-aeo-platforms-compared-for-seo-teams-in-2026
- Conductor Review 2026: No Public Price, Real Cost & AI Search Verdict: https://trakkr.ai/reviews/conductor-review
- MarketMuse vs SEO AI: A detailed comparison | eesel AI: https://www.eesel.ai/blog/marketmuse-vs-seo-ai
- MarketMuse Pricing: https://www.g2.com/products/marketmuse/pricing
- MarketMuse Review: Marketing Tool Analysis & Guide: https://www.marketingmonk.so/products/marketmuse
- MarketMuse Review (2026): Pricing, Pros & Cons - Revuo: https://www.revuo.ai/category/ai-blog-writer/marketmuse
- MarketMuse Review: Is It Right for Modern Content Teams?: https://www.scalenut.com/blogs/marketmuse-review
- MarketMuse review: Users of all sizes should consider this SEO optimization tool: https://www.techradar.com/pro/marketmuse-review
- MarketMuse review: pricing and verdict: https://www.theseoagent.ai/blog/marketmuse-review
- Conductor AI Review (2026): Honest Buyer's Guide: https://www.tryanalyze.ai/blog/conductor-ai-review
Additional AI research evidence142 records
- AI research evidence record google:1.1.3
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:20-8
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record openai:c8
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:15-2
- AI research evidence record perplexity:c6
- AI research evidence record openai:c1
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c7
- AI research evidence record grok:web:0
- AI research evidence record grok:web:8
- AI research evidence record anthropic:5-2
- AI research evidence record anthropic:7-1
- AI research evidence record anthropic:7-2
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:28-3
- AI research evidence record openai:c11
- AI research evidence record google:2.2.1
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:12-6
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:28-3
- AI research evidence record anthropic:31-2
- AI research evidence record anthropic:31-3
- AI research evidence record anthropic:32-5
- AI research evidence record anthropic:32-6
- AI research evidence record anthropic:32-7
- AI research evidence record google:1.1.4
- AI research evidence record google:2.2.4
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record google:2.2.9
- AI research evidence record google:1.4.8
- AI research evidence record anthropic:43-1
- AI research evidence record anthropic:43-2
- AI research evidence record anthropic:43-4
- AI research evidence record kimi:conductor-review-tryanalyze
- AI research evidence record kimi:profound-review-dupple
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c8
- AI research evidence record anthropic:25-7
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c7
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:15-2
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c7
- AI research evidence record kimi:marketmuse-pricing-2026
- AI research evidence record grok:web:0
- AI research evidence record grok:web:8
- AI research evidence record openai:c1
- AI research evidence record openai:c6
- AI research evidence record anthropic:17-12
- AI research evidence record anthropic:17-13
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:36-9
- AI research evidence record anthropic:30-2
- AI research evidence record anthropic:35-7
- AI research evidence record anthropic:40-7
- AI research evidence record anthropic:40-2
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:15-2
- AI research evidence record anthropic:15-6
- AI research evidence record anthropic:14-1
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:12-8
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c7
- AI research evidence record perplexity:c8
- AI research evidence record kimi:marketmuse-pricing-2026
- AI research evidence record grok:web:0
- AI research evidence record grok:web:8
- AI research evidence record anthropic:15-12
- AI research evidence record openai:c1
- AI research evidence record openai:c6
- AI research evidence record openai:c9
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:5-2
- AI research evidence record anthropic:7-1
- AI research evidence record google:1.1.4
- AI research evidence record google:2.2.4
- AI research evidence record anthropic:17-12
- AI research evidence record anthropic:17-13
- AI research evidence record openai:c8
- AI research evidence record anthropic:20-2
- AI research evidence record perplexity:c3
- AI research evidence record kimi:marketmuse-siteimprove-integration
- AI research evidence record anthropic:3-6
- AI research evidence record anthropic:6-6
- AI research evidence record anthropic:3-7
- AI research evidence record openai:c1
- AI research evidence record google:1.1.3
- AI research evidence record google:2.2.9
- AI research evidence record anthropic:17-12
- AI research evidence record anthropic:17-13
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:15-2
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:43-1
- AI research evidence record anthropic:43-2
- AI research evidence record anthropic:43-4
- AI research evidence record kimi:conductor-review-tryanalyze
- AI research evidence record anthropic:3-7
- AI research evidence record anthropic:6-6
- AI research evidence record google:1.4.8
- AI research evidence record anthropic:17-4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-2
- AI research evidence record google:1.1.3
- AI research evidence record openai:c1
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:17-12
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:30-2
- AI research evidence record anthropic:35-7
- AI research evidence record openai:c2
- AI research evidence record anthropic:43-1
- AI research evidence record kimi:conductor-review-tryanalyze
- AI research evidence record openai:c5
- AI research evidence record anthropic:40-7
- AI research evidence record anthropic:15-12
- AI research evidence record openai:c9
- AI research evidence record openai:c11
- AI research evidence record kimi:marketmuse-siteimprove-integration
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:40-2
- AI research evidence record deepseek:c1
Other Sources
- MarketMuse Review 2026: https://aivario.com/tools/marketmuse
- MarketMuse Review 2026: Enterprise Content Intelligence (At: https://thestacc.com/reviews/marketmuse/
- MarketMuse Reviews 2026: Details, Pricing, & Features | G2: https://www.g2.com/products/marketmuse/reviews
- MarketMuse Pricing 2026: Plans, Costs & Alternatives - Wyrote: https://wyrote.com/pages/seo-tool-pricing/marketmuse-pricing
Additional AI research evidence142 records
- AI research evidence record google:1.1.3
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:20-8
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c4
- AI research evidence record openai:c8
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:15-2
- AI research evidence record perplexity:c6
- AI research evidence record openai:c1
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c7
- AI research evidence record grok:web:0
- AI research evidence record grok:web:8
- AI research evidence record anthropic:5-2
- AI research evidence record anthropic:7-1
- AI research evidence record anthropic:7-2
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:28-3
- AI research evidence record openai:c11
- AI research evidence record google:2.2.1
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:12-6
- AI research evidence record anthropic:28-2
- AI research evidence record anthropic:28-3
- AI research evidence record anthropic:31-2
- AI research evidence record anthropic:31-3
- AI research evidence record anthropic:32-5
- AI research evidence record anthropic:32-6
- AI research evidence record anthropic:32-7
- AI research evidence record google:1.1.4
- AI research evidence record google:2.2.4
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record google:2.2.9
- AI research evidence record google:1.4.8
- AI research evidence record anthropic:43-1
- AI research evidence record anthropic:43-2
- AI research evidence record anthropic:43-4
- AI research evidence record kimi:conductor-review-tryanalyze
- AI research evidence record kimi:profound-review-dupple
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c8
- AI research evidence record anthropic:25-7
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c7
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:15-2
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c7
- AI research evidence record kimi:marketmuse-pricing-2026
- AI research evidence record grok:web:0
- AI research evidence record grok:web:8
- AI research evidence record openai:c1
- AI research evidence record openai:c6
- AI research evidence record anthropic:17-12
- AI research evidence record anthropic:17-13
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:36-9
- AI research evidence record anthropic:30-2
- AI research evidence record anthropic:35-7
- AI research evidence record anthropic:40-7
- AI research evidence record anthropic:40-2
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:15-2
- AI research evidence record anthropic:15-6
- AI research evidence record anthropic:14-1
- AI research evidence record anthropic:12-1
- AI research evidence record anthropic:12-8
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c7
- AI research evidence record perplexity:c8
- AI research evidence record kimi:marketmuse-pricing-2026
- AI research evidence record grok:web:0
- AI research evidence record grok:web:8
- AI research evidence record anthropic:15-12
- AI research evidence record openai:c1
- AI research evidence record openai:c6
- AI research evidence record openai:c9
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:5-2
- AI research evidence record anthropic:7-1
- AI research evidence record google:1.1.4
- AI research evidence record google:2.2.4
- AI research evidence record anthropic:17-12
- AI research evidence record anthropic:17-13
- AI research evidence record openai:c8
- AI research evidence record anthropic:20-2
- AI research evidence record perplexity:c3
- AI research evidence record kimi:marketmuse-siteimprove-integration
- AI research evidence record anthropic:3-6
- AI research evidence record anthropic:6-6
- AI research evidence record anthropic:3-7
- AI research evidence record openai:c1
- AI research evidence record google:1.1.3
- AI research evidence record google:2.2.9
- AI research evidence record anthropic:17-12
- AI research evidence record anthropic:17-13
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:15-2
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:43-1
- AI research evidence record anthropic:43-2
- AI research evidence record anthropic:43-4
- AI research evidence record kimi:conductor-review-tryanalyze
- AI research evidence record anthropic:3-7
- AI research evidence record anthropic:6-6
- AI research evidence record google:1.4.8
- AI research evidence record anthropic:17-4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-2
- AI research evidence record google:1.1.3
- AI research evidence record openai:c1
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:17-12
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:30-2
- AI research evidence record anthropic:35-7
- AI research evidence record openai:c2
- AI research evidence record anthropic:43-1
- AI research evidence record kimi:conductor-review-tryanalyze
- AI research evidence record openai:c5
- AI research evidence record anthropic:40-7
- AI research evidence record anthropic:15-12
- AI research evidence record openai:c9
- AI research evidence record openai:c11
- AI research evidence record kimi:marketmuse-siteimprove-integration
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:40-2
- AI research evidence record deepseek:c1
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
- 52
- Ranking mentions
- 3 of 7
- Platform share
- 43%
- Final consensus rank
- #8
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
25 independent · 23 company-owned · 4 unclear
Evidence support
43 direct · 9 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 5bea445b48a89e45c4311b7045ef4a7b1da533a499bccde4908023d5c2dbd781