Answer Capsule
MarketMuse is a mixed fit for a marketing team buying AI SEO Tools. Three of seven platforms named it during ranking discovery (deepseek, openai, perplexity), a 42.9% share of included platform responses, at an average listed rank of 7.0 and a best rank of 5. Its strongest reason to consider it is content research, topic modeling, competitive gap analysis, and structured briefs for traditional search [1]. The main limitation is that reviewed public materials do not clearly verify native monitoring or optimization across ChatGPT, Gemini, Perplexity, Claude, and Google AI search, and pricing is inconsistent or quote-only [3].
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 3 of 7 platforms (deepseek, openai, perplexity) |
| Share of included platform responses | 42.9% |
| Average listed rank | 7.0 |
| Best listed rank | 5 (openai) |
| Relevant product/model/plan | MarketMuse content intelligence platform, especially Optimize and Strategy; team or enterprise quote for large-scale content planning |
| Overall use-case fit | Mixed |
| Research date | 2026-09-18 |
Why MarketMuse Qualified for This Study
Questions This Section Answers
- Is MarketMuse a good choice for AI SEO Tools if the team needs content research and topic discovery?
- How many AI platforms named MarketMuse in the ranking stage for AI SEO Tools?
MarketMuse qualified because it was named by three of the seven platforms during ranking discovery and because its documented capabilities map directly onto several of this study's category criteria: content research, optimization recommendations, competitive analysis, topic discovery, and content briefs [5]. It did not qualify on the strength of AI-search visibility features, because no platform produced verified evidence of native cross-platform generative-answer tracking.
The three platforms that named it ranked it at 8 (deepseek), 5 (openai), and 8 (perplexity), producing the 7.0 average and 5 best rank shown above. The remaining four platforms evaluated fit but did not name MarketMuse in their ranking lists, which is why the mention share is 42.9% rather than 100%.
Platform fit ratings diverged: grok rated it strong, anthropic and perplexity rated it good, and openai, deepseek, google, and kimi rated it mixed. That spread is itself a finding — the disagreement centers on whether traditional content intelligence counts as AI SEO capability.
The Product, Model, Plan, or Service Most Relevant to AI SEO Tools
Questions This Section Answers
- Which MarketMuse plan should a buyer choose if they need content briefs and competitive analysis for AI SEO Tools?
- Is MarketMuse Optimize or MarketMuse Strategy the better fit for a marketing team buying AI SEO Tools?
The relevant offering is the MarketMuse content intelligence platform, with Optimize and Strategy as the tiers most often cited for this use case [8]. MarketMuse describes Research, Compete, and Optimize applications and a data-driven content-intelligence approach [11].
Optimize is the on-page workflow: it evaluates topical depth and provides guidance for improving comprehensiveness and quality, and MarketMuse states all subscriptions include access to Optimize [12]. Strategy is the tier associated with the largest published allowances and with specialized brief types. MarketMuse help documentation states that Create and Optimize brief types and content-type-specific recommendations are available on Strategy and above [14].
Plan allowances as published by MarketMuse: Free includes 1 user and 10 queries per month; Optimize includes 1 site inventory, 1 user, 100 tracked topics, 5 content briefs per month, 1 strategy document per month, and 100 queries per month; Research includes 1 site inventory, 3 users, 1,000 tracked topics, 10 content briefs per month, 3 strategy documents per month, and unlimited queries; Strategy includes 10,000 tracked topics, 20 content briefs per month, and 5 strategy documents per month [8]. One independent source describes Strategy as including 5 user seats [9], while another states MarketMuse imposes a 5-user cap on its highest tier [15] — a conflict buyers should resolve in writing.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree MarketMuse does well for AI SEO Tools?
- Is MarketMuse strong at content briefs and topic modeling compared with other AI SEO tools?
The clearest cross-platform agreement is that MarketMuse is strong at content research, topic modeling, competitive content analysis, and brief generation. All seven platform responses describe these as advantages or core strengths, and the supporting citations are a mix of company-owned documentation and independent reviews.
On content research and topic discovery, MarketMuse documents keyword, competitor, and SERP research, content-plan recommendations, clusters, topic ideas, difficulty, volume, and intent matching [16]. Independent reviews describe site-wide inventory analysis that surfaces where a site has authority, where gaps exist, and where opportunities sit [17].
On optimization recommendations, the Optimize workflow evaluates topical depth and provides guidance intended to improve comprehensiveness and quality, with content-score and topic-coverage guidance described in company materials [20]. No platform claimed guaranteed ranking improvement, and none should be read that way.
On briefs, one independent reviewer described MarketMuse content briefs as more comprehensive than any SEO tool reviewed [22]. MarketMuse documents Article Briefs plus specialized Create and Optimize brief types on Strategy and above [23].
On competitive analysis, MarketMuse describes competitor and SERP research and applications including Research, Compete, and Optimize [16]. Independent reviews reference SERP X-Ray, heatmaps, and competitor gap identification [25]. The exact depth of competitor backlink, authority, and traffic data is unclear from the reviewed materials.
Two platforms also reported scale and satisfaction signals: a 4.6/5 rating across 200+ G2 reviews [27] and reported savings of roughly 10 hours per week in content research for high-volume teams [28]. Both are platform-reported and not independently verified here.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Does MarketMuse natively track brand visibility in ChatGPT, Gemini, Perplexity, Claude, and Google AI search?
- Why do AI platforms disagree about whether MarketMuse is a good AI SEO tool?
The central disagreement is whether MarketMuse satisfies the AI-search half of this buyer's requirement. The platforms split, and the split is not resolvable from the reviewed evidence.
Positions that MarketMuse does not natively cover generative-answer visibility: openai states the reviewed public materials do not clearly verify native monitoring, citation tracking, share-of-answer measurement, or optimization workflows spanning ChatGPT, Gemini, Perplexity, Claude, and Google AI search [29]. Deepseek found no verifiable evidence of optimization or tracking for those surfaces [32]. Kimi states no independent evidence confirms native tracking across those engines as of September 2026 [34]. Google states MarketMuse does not natively track or optimize directly for ChatGPT, Perplexity, or Google AI Overviews [37]. Perplexity calls the capability unclear from sources checked [39].
A contrary signal exists but is weak. One platform cited a LinkedIn post announcing AI Visibility features within a Siteimprove.ai Search solution that tracks AI citations and share of voice across answer engines [42]. The same platform flags that it is unclear whether this is a standalone MarketMuse feature, requires a Siteimprove bundle, or is enterprise-only [42]. Treat this as platform-reported and unverified.
MarketMuse's own materials address AI search indirectly. Company content discusses analyzing Google SGE and conversational search changes and emphasizes structured data and semantic alignment [43], and describes knowledge graphs and semantic content structures as important for aligning content with generative AI and LLM expectations [44]. Company material also describes using external evaluators such as ChatGPT prompts alongside its proprietary content score metrics [45]. These are positioning and methodology claims, not documented cross-platform tracking features.
A second disagreement concerns pricing. TechRadar reports Strategy at $499 per month or $5,499 per year [46], while Capterra reports a starting price of $99 per feature per month [47]. Other sources cite historical tiers of Optimize $99, Research $249, and Strategy $499 monthly [48], and at least one source states MarketMuse no longer publishes pricing and requires contacting sales [50]. Grok reports historical entry pricing around $149 per month and team tiers around $399 per month [51]. These figures conflict and should not be treated as authoritative.
A third uncertainty concerns ownership and roadmap. One platform cites an October 2024 acquisition agreement with Siteimprove [53] and notes that the standalone product roadmap post-acquisition is unclear [54]. Whether MarketMuse continues as a standalone product or consolidates into Siteimprove.ai is not documented in the reviewed evidence.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Which AI SEO Tools capabilities does MarketMuse actually cover for a marketing team?
- Does MarketMuse generate content briefs and competitive gap analysis for AI SEO Tools?
MarketMuse covers most content-side criteria in this category and does not clearly cover the generative-answer measurement criterion.
| Category criterion | MarketMuse assessment | Evidence |
|---|---|---|
| Content research and topic discovery | Advantage | Topic Navigator, keyword and SERP research, clusters, personalized difficulty, intent matching; patented topic modeling and inventory analysis |
| Optimization recommendations | Advantage | Optimize evaluates topical depth and provides comprehensiveness guidance; real-time Content Score and AI-assisted prompts |
| Competitive analysis | Advantage | Competitor and SERP research; Research, Compete, Optimize applications; SERP X-Ray and heatmaps |
| Topic discovery | Advantage | Topic clusters, content groups, content ideas, site-aware recommendations |
| Content briefs | Advantage | Article Briefs plus Create and Optimize brief types on Strategy and above; briefs described as more comprehensive than competing tools |
| AI-search and generative-answer capabilities | Unclear | No verified native monitoring, citation tracking, or share-of-answer measurement across ChatGPT, Gemini, Perplexity, Claude, and Google AI search |
Two adjacent capabilities are worth separating from AI-search tracking. First, MarketMuse's topical-depth and comprehensiveness work may support indirect preparedness for AI-generated answers, but every platform that raised this framed it as inference rather than a documented cross-platform feature [55]. Second, MarketMuse is a planning and optimization tool, not a content generator: one company source states Optimize has a generative AI component but does not write content for customers [58], while another describes generative prompts to improve writing, expand or condense content, and address gaps [59].
Workflow limitations reported across platforms: a documented 2-4 week learning curve with a G2 Ease of Setup score of 8.6 versus Clearscope at 9.8 and Surfer SEO at 9.4 [60]; no native WordPress or Google Docs support, requiring manual copy-paste publishing [61]; and a 5-user cap on the highest tier [61]. One independent source notes users combine MarketMuse with tactical tools such as Surfer SEO or Frase for complete content execution [62].
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 contract, renewal, and refund terms for a marketing team?
Pricing confidence is low. MarketMuse publishes plan structures and usage limits, but the reviewed official pricing page does not expose complete current dollar pricing for every paid tier [63]. Third-party figures conflict.
| Source | Reported figure | Notes |
|---|---|---|
| TechRadar | Strategy $499/month or $5,499/year | Independent reporting |
| Capterra | Starting price $99 per feature per month, free plan available | Conflicts with TechRadar |
| Costbench | Free, Optimize $99/mo, Research $249/mo, Strategy $499/mo | Independent directory |
| AIVario / Perplexity review | Optimize ~$99/mo, Research ~$249/mo, Strategy ~$499/mo | Third-party signals |
| Grok review | Optimize/Standard historically ~$149/mo; Research/Team ~$399/mo; Strategy custom | Independent review |
| CheckThat | No public pricing; all paid tiers require contacting sales | Independent directory |
Published plan allowances are more consistent than prices. Free: 1 user, 10 queries per month. Optimize: 1 site inventory, 1 user, 100 tracked topics, 5 content briefs per month, 1 strategy document per month, 100 queries per month. Research: 1 site inventory, 3 users, 1,000 tracked topics, 10 content briefs per month, 3 strategy documents per month, unlimited queries. Strategy: 10,000 tracked topics, 20 content briefs per month, 5 strategy documents per month [63].
On contract terms, the official terms of service provide the most concrete evidence available. Unless an order states otherwise, the subscription term is one month; fees are prepaid for the term; the subscription automatically renews for successive equal periods unless cancelled; either party may cancel at any time by notice, with cancellation stopping further renewal and access continuing through the end of the then-current term; all fees are non-refundable with no credit for unused portions; and late payments may bear interest at the lower of 2% per month or the highest rate permitted by law (official:C3). The same terms state the services are provided "as is" and that Siteimprove does not warrant that results, recommendations, or output will be accurate or achieve any particular outcome (official:C3).
Additional fees are unclear. One platform notes content briefs may incur per-credit fees, citing a 2024 review figure of $25 per brief with the caveat that the model may have changed [65]. Another notes at least one documented hidden cost without a verified fee structure [66]. Onboarding, implementation, extra-user, extra-site, overage, custom brief, API, data export, and managed-service fees are not verifiable from the reviewed materials [63]. A 7-day free trial with no credit card required is reported by one platform [65].
Best Suited For
Questions This Section Answers
- Who gets the most value from MarketMuse for AI SEO Tools?
- Is MarketMuse worth it for a mid-market or enterprise content team?
MarketMuse is best suited to marketing teams whose primary need is content-led SEO at scale, not generative-answer measurement.
The strongest fit profiles across platforms: teams prioritizing topical authority, content gaps, content briefs, and optimization of existing pages [67]; teams needing site-aware content planning rather than keyword-by-keyword research [68]; mid-market, enterprise, or agency teams with enough content volume to justify paid planning and research workflows [67]; large content teams and agencies publishing at scale that need topic authority mapping and content gap analysis [70]; organizations with complex content portfolios needing full-site inventory analysis and cluster-first planning [72]; and enterprise buyers already using Siteimprove products, where bundled pricing may apply [73].
One platform frames the value threshold plainly: MarketMuse value scales with content volume, and teams publishing frequently report saving around 10 hours per week in research once proficient [74]. Another notes that for teams publishing often, MarketMuse topic modeling and metrics take guesswork out of what to write [69].
A practical pattern reported by one platform is that users combine MarketMuse with tactical tools such as Surfer SEO or Frase for complete content execution [75]. Buyers should treat that as a platform-reported usage pattern, not a verified recommendation.
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose MarketMuse for AI SEO Tools?
- Is MarketMuse a poor fit for a team whose main goal is AI citation tracking?
MarketMuse is probably not the right primary purchase for buyers whose central requirement is generative-answer visibility.
Buyers whose primary requirement is direct generative-engine visibility monitoring or citation-share measurement across multiple AI answer platforms are a poor fit, because that capability is not verified in the reviewed materials [76]. Teams needing native AI-search visibility tracking across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews in one platform fall into the same category [80].
Small teams seeking transparent, fully self-serve pricing for multiple users and high-volume briefs are also a weak fit, given the pricing opacity and the reported 5-user cap on the highest tier [82]. Solo users and small teams sensitive to quote-based pricing and a learning curve are flagged by another platform [84].
Teams primarily needing backlink intelligence, rank tracking, technical SEO auditing, or broad all-in-one SEO-suite functionality should look elsewhere, because MarketMuse's scope is content intelligence rather than technical SEO [76]. Organizations requiring rapid implementation should weigh the documented 2-4 week learning curve [85]. Teams needing native CMS integrations should note the reported absence of WordPress and Google Docs support [83]. Buyers prioritizing AI content generation should note that MarketMuse is positioned as planning and optimization rather than content authorship [87].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to MarketMuse for a buyer who needs AI citation tracking across ChatGPT and Gemini?
- When should a marketing team choose a dedicated AI visibility platform instead of MarketMuse?
Another option may be better in four recurring situations identified across the platform responses.
First, when the primary requirement is prompt monitoring, brand mentions, citation sources, share of answers, or comparison across ChatGPT, Gemini, Claude, Perplexity, and Google AI experiences, a dedicated AI-search visibility platform is the better primary choice [88]. Platforms named specific alternatives: Profound, Otterly.ai, Peec AI, Semrush AI Visibility, and Scrunch AI [89]; OmniSEO with reported coverage of 10 channels from $89 per month, Profound with reported coverage of up to 9 engines from $99 per month, and the Semrush AI Visibility Toolkit as a reported $99 per month add-on [91]. These competitor prices are platform-reported and not independently verified here.
Second, when the team needs technical crawling, backlink intelligence, rank tracking, competitive traffic estimates, and content capabilities in one system, a broader enterprise SEO suite is the better fit [88].
Third, when the team has limited content volume, few users, and no need for site-wide planning or advanced brief workflows, a lower-cost self-serve content optimizer is more appropriate [88]. One platform cites SE Ranking plus an AI Search add-on at roughly $174 per month combined annual, and ContentMonk at a reported $99 per month with 3 users, as budget-oriented alternatives [96].
Fourth, when both content quality and generative-answer exposure are strategic requirements, the recommended pattern is to use MarketMuse alongside an AI-visibility measurement product rather than instead of one [88]. Buyers comparing options across this category can review the full AI SEO Tools consensus index, and the broader ai seo content optimization directory, before committing.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with MarketMuse before signing a contract?
- Which MarketMuse capabilities and fees need written confirmation before purchase?
The following items are unresolved in the reviewed evidence and should be confirmed in writing before purchase. Each is drawn from the platform responses rather than from independent verification.
- Does the current product natively track brand visibility, citations, recommendations, or source inclusion in ChatGPT, Gemini, Perplexity, Claude, Google AI Overviews, or Google AI Mode? Which platforms, regions, prompts, languages, and answer types are supported, and how frequently are results refreshed [99]?
- Are AI-search metrics separate from traditional SERP and content-optimization metrics, and are they available as a standalone MarketMuse add-on or only through Siteimprove.ai bundled licensing [99]?
- What is the current all-in price for the required number of users, sites, tracked topics, briefs, strategy documents, exports, and queries, and does that price include implementation, onboarding, and training [99]?
- Do Strategy or enterprise plans require an annual commitment, and what are the renewal, cancellation, and refund terms beyond the standard one-month auto-renewing subscription described in the terms of service [103]?
- Are the specialized Create and Optimize briefs available on the proposed plan, and what are the monthly quotas and overage charges [104]?
- Are competitor datasets, SERP data, search-volume sources, and AI recommendations available for United States markets and the buyer's industry [99]?
- What integrations exist for the team's CMS, analytics, workflow, and content-generation systems, given reported gaps in WordPress and Google Docs support [99]?
- Can MarketMuse export recommendations, briefs, topic clusters, and historical performance data in machine-readable formats [99]?
- Will MarketMuse continue as a standalone product or consolidate into Siteimprove.ai, and what is the roadmap for the next 12-24 months [106]?
- What independent evidence can MarketMuse provide for improvements in organic visibility or inclusion in AI-generated answers [99]?
Final AI Consensus Verdict
MarketMuse is a good traditional content-intelligence platform and only a mixed overall fit for a buyer whose requirement spans both traditional search and AI-generated search experiences. Three of seven platforms named it in ranking discovery at an average rank of 7.0, and platform fit ratings ranged from strong to mixed.
The consensus position across the reviewed responses is that MarketMuse is strongest when the marketing team needs research, topical modeling, competitive content planning, optimization recommendations, and structured briefs [108]. It should not be selected as the sole solution for cross-platform AI-search visibility measurement unless a current product demonstration and written commercial documentation verify those capabilities [113].
Two practical conclusions follow. First, buyers whose primary mandate is generative-answer visibility should treat MarketMuse as a complementary content-intelligence layer and budget for a dedicated AI-visibility tool alongside it [113]. Second, buyers whose primary mandate is content-led traditional SEO at scale can evaluate MarketMuse on its own merits, but should resolve the pricing conflict and the post-acquisition roadmap before signing [118].
How This Review Was Produced
This review was produced from a single research run dated 2026-09-18 covering seven AI platforms: anthropic, deepseek, google, grok, kimi, openai, and perplexity. Each platform was asked which AI SEO tools it would recommend for a marketing team seeking visibility across traditional search and AI-generated search experiences, and each returned a fit assessment, use-case findings, pricing and terms, limitations, and questions to verify before buying.
MarketMuse was named during ranking discovery by three of the seven platforms: deepseek (rank 8), openai (rank 5), and perplexity (rank 8). The remaining four platforms evaluated fit without naming MarketMuse in their ranking lists. All platform responses were treated as platform-reported evidence. No product testing, customer interviews, or independent verification was performed at the writing stage.
Methodology Limitations
Several limitations materially affect how this review should be used.
Platform-reported research dates differ from the authoritative run date. Six platforms report 2026-09-18, while deepseek reports 2026-06-12 [121]. Platform-reported dates are provenance metadata and do not independently prove freshness.
Citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated at the writing stage. Claims from models without search enabled require explicit verification before being described as current facts; deepseek is the only platform in this run with search disabled.
Pricing evidence is conflicting and incomplete. Official MarketMuse pricing materials show plan limits but do not clearly display complete current dollar pricing for all paid tiers [122]. TechRadar reports Strategy at $499 per month or $5,499 per year [124], while Capterra reports a starting price of $99 per feature per month [125]. These figures conflict and should not be treated as authoritative without a quote.
AI-search capability evidence is unresolved rather than disproven. The absence of verified native cross-platform tracking in the reviewed materials is not proof that the capability does not exist. One platform cited a LinkedIn announcement of AI Visibility features within a Siteimprove.ai Search solution, but whether that is standalone, bundled, or enterprise-only is unclear [126].
Ownership and roadmap uncertainty persists. One platform cites an October 2024 acquisition agreement with Siteimprove [127], and the standalone MarketMuse product roadmap post-acquisition is not documented in the reviewed evidence [128].
Evidence is predominantly company-owned. Most capability evidence reviewed is MarketMuse documentation or marketing material. Independent evidence for AI-search performance outcomes is limited, and no platform produced a methodologically documented independent study of MarketMuse's effect on AI-search visibility [122].
Platform agreement does not establish product quality. The counts and rankings in this review describe what AI platforms said, not verified product performance.
Sources
Company-Owned Sources
- How to Optimize Content Using MarketMuse AI - Blog: https://blog.marketmuse.com/how-to-optimize-content-using-marketmuse/
- Introducing MarketMuse Pro: https://blog.marketmuse.com/introducing-marketmuse-pro/
- MarketMuse Help Center: Content Brief Examples: https://help.marketmuse.com/support/solutions/articles/80001167719
- Using MarketMuse AI to Evaluate Content: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFJ5VUDAtQO5K10nTlijCYXkCBlld22PiXkVjhJc6Kt4ZQBOAV9gMrlWeaYSqUqwshM5qcDmzckmYk86QjTBqB0sJ7EKcSGRa8gQ8eNueOvMm41pRykWGWAeRYPnsqiUkEmBC5G4pSWXn-rhBv57JPRsPL01--W-YULV2avW68fGrXqziMjagNVhcUrsJEynPEt
- Knowledge Graphs and Generative AI: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFqsHknTfJiRPGvVDxN5XfB0c8P4LRpNjmrcFmBVLqFkuSV-ZdlHtlFRO6Hy5l8UrFRSH4rISsz8t6RlYsharbokDPQP5ERNGm-42EHPoHdhOZIVjp0E0fXvJbxzM1CfHGPNa_UApDZlaHRLYnRUhDuQoqGJv3cHCSFM7PPYem-cXvIK3yfLCknegb44yjM6MtD4X3YL_voQh0PXGw=
- AI Content Planning and Optimization Software - MarketMuse: https://www.marketmuse.com/
- MarketMuse – About/Company Information: https://www.marketmuse.com/about/
- Content Planning: https://www.marketmuse.com/content-planning/
- Optimize: https://www.marketmuse.com/optimize/
- MarketMuse Pricing: https://www.marketmuse.com/pricing/
- Integrate MarketMuse into Your Workflow: https://www.marketmuse.com/wp-content/uploads/2022/06/Content-Optimization-vs-Search-Engine-Optimization.pdf
- Official pricing and terms source: https://www.marketmuse.com/terms-of-service/
Additional AI research evidence128 records
- AI research evidence record openai:c2
- AI research evidence record anthropic:4-13
- AI research evidence record openai:c8
- AI research evidence record anthropic:14-4
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-1
- AI research evidence record perplexity:c3
- AI research evidence record openai:c5
- AI research evidence record openai:c3
- AI research evidence record perplexity:c12
- AI research evidence record openai:c6
- AI research evidence record anthropic:33-5
- AI research evidence record openai:c2
- AI research evidence record anthropic:5-7
- AI research evidence record anthropic:30-7
- AI research evidence record anthropic:4-12
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:6-11
- AI research evidence record openai:c6
- AI research evidence record openai:c5
- AI research evidence record grok:web:1
- AI research evidence record google:1.3.4
- AI research evidence record anthropic:15-3
- AI research evidence record anthropic:42-12
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c6
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c3
- AI research evidence record kimi:toolchase-omniseo
- AI research evidence record kimi:get-ryze-profound
- AI research evidence record kimi:sightivo-semrush-ai
- AI research evidence record google:1.1.3
- AI research evidence record google:1.4.1
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c12
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:1-9
- AI research evidence record google:1.4.2
- AI research evidence record google:1.4.3
- AI research evidence record google:1.4.4
- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record anthropic:13-1
- AI research evidence record perplexity:c13
- AI research evidence record anthropic:14-4
- AI research evidence record grok:web:1
- AI research evidence record grok:web:5
- AI research evidence record anthropic:4-5
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:20-4
- AI research evidence record grok:web:11
- AI research evidence record anthropic:23-1
- AI research evidence record anthropic:24-1
- AI research evidence record anthropic:33-1
- AI research evidence record anthropic:33-5
- AI research evidence record anthropic:42-5
- AI research evidence record openai:c1
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:33-5
- AI research evidence record anthropic:13-1
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:44-2
- AI research evidence record anthropic:4-13
- AI research evidence record anthropic:5-7
- AI research evidence record anthropic:30-7
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:42-12
- AI research evidence record anthropic:42-5
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record google:1.1.3
- AI research evidence record kimi:marketmuse-official
- AI research evidence record kimi:toolchase-omniseo
- AI research evidence record kimi:get-ryze-profound
- AI research evidence record anthropic:14-4
- AI research evidence record anthropic:33-5
- AI research evidence record grok:web:5
- AI research evidence record anthropic:33-1
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:23-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-2
- AI research evidence record anthropic:19-3
- AI research evidence record kimi:toolchase-omniseo
- AI research evidence record kimi:get-ryze-profound
- AI research evidence record kimi:sightivo-semrush-ai
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:33-1
- AI research evidence record kimi:northiscale-se-ranking
- AI research evidence record kimi:contentmonk-semrush
- AI research evidence record anthropic:42-5
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:1-9
- AI research evidence record anthropic:13-1
- AI research evidence record anthropic:14-4
- AI research evidence record openai:c6
- AI research evidence record anthropic:33-5
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:4-5
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c6
- AI research evidence record anthropic:4-13
- AI research evidence record grok:web:1
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record google:1.1.3
- AI research evidence record kimi:marketmuse-official
- AI research evidence record anthropic:19-2
- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record anthropic:1-1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record deepseek:c3
- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record anthropic:1-9
- AI research evidence record anthropic:4-5
- AI research evidence record anthropic:1-1
Independent Sources
- MarketMuse Pricing in 2026: What Small Teams Pay: https://aiflowreview.com/marketmuse-pricing/
- MarketMuse Review 2026 — Best AI Content Strategy Tool? | GEOToolsHub: https://aigeodirectory.com/tools/marketmuse-review
- MarketMuse Stopped Publishing Prices. That Tells You Something. — AIVario: https://aivario.com/tools/marketmuse
- 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 Alternatives: Top 5 Competitors Compared: https://checkthat.ai/brands/marketmuse/alternatives
- MarketMuse Pricing 2026: Plans, Costs & Comparison: https://checkthat.ai/brands/marketmuse/pricing
- MarketMuse Reviews 2026: What Real Users Say: https://checkthat.ai/brands/marketmuse/reviews
- MarketMuse Pricing 2026: 5 Plans from Free–$999/per month: https://costbench.com/software/ai-seo-tools/marketmuse/
- MarketMuse Review 2025: Fire AI Tool For SEO Or Meh?: https://juliety.com/marketmuse-review
- SE Ranking Review 2026: Pricing, Limits & Honest Verdict: https://northiscale.com/reviews/se-ranking-review
- 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/
- Semrush AI Visibility Toolkit Review (2026): Pricing and Limits: https://sightivo.com/blog/semrush-ai-visibility-toolkit-review
- MarketMuse Review 2026: Pricing & Alternatives | ToolChase: https://toolchase.com/tool/marketmuse/
- Omniseo Review 2026: Pricing, Features & Alternatives: https://toolchase.com/tool/omniseo/
- Generative Engine Optimization Platforms Comparison: https://www.arcintermedia.com/knowledge-base/ai-marketing-and-processes/generative-engine-optimization-platforms-comparison/
- MarketMuse Pricing 2026: https://www.capterra.com/p/144457/MarketMuse/pricing/
- Semrush Review (2026): Features, Pricing & Honest Assessment: https://www.contentmonk.io/seo-tools/semrush-review
- MarketMuse pricing: A complete breakdown | eesel AI: https://www.eesel.ai/blog/marketmuse-pricing
- MarketMuse vs SEO AI: A detailed comparison | eesel AI: https://www.eesel.ai/blog/marketmuse-vs-seo-ai
- Profound Review 2026: Features, Pricing, Honest Limits: https://www.get-ryze.ai/blog/profound-review-2026
- MarketMuse by Siteimprove | LinkedIn: https://www.linkedin.com/company/marketmuse
- Generative Engine Optimization (GEO) Market: https://www.marketsandmarkets.com/Market-Reports/generative-engine-optimization-geo-market-265868816.html
- MarketMuse Software Reviews, Demo & Pricing - 2026: https://www.softwareadvice.com/ai-marketing-tools/marketmuse-profile/
- MarketMuse review: Businesses of all sizes should consider this SEO optimization tool: https://www.techradar.com/pro/marketmuse-review
Additional AI research evidence128 records
- AI research evidence record openai:c2
- AI research evidence record anthropic:4-13
- AI research evidence record openai:c8
- AI research evidence record anthropic:14-4
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:10-1
- AI research evidence record perplexity:c3
- AI research evidence record openai:c5
- AI research evidence record openai:c3
- AI research evidence record perplexity:c12
- AI research evidence record openai:c6
- AI research evidence record anthropic:33-5
- AI research evidence record openai:c2
- AI research evidence record anthropic:5-7
- AI research evidence record anthropic:30-7
- AI research evidence record anthropic:4-12
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:6-11
- AI research evidence record openai:c6
- AI research evidence record openai:c5
- AI research evidence record grok:web:1
- AI research evidence record google:1.3.4
- AI research evidence record anthropic:15-3
- AI research evidence record anthropic:42-12
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c6
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c3
- AI research evidence record kimi:toolchase-omniseo
- AI research evidence record kimi:get-ryze-profound
- AI research evidence record kimi:sightivo-semrush-ai
- AI research evidence record google:1.1.3
- AI research evidence record google:1.4.1
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c12
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:1-9
- AI research evidence record google:1.4.2
- AI research evidence record google:1.4.3
- AI research evidence record google:1.4.4
- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record anthropic:13-1
- AI research evidence record perplexity:c13
- AI research evidence record anthropic:14-4
- AI research evidence record grok:web:1
- AI research evidence record grok:web:5
- AI research evidence record anthropic:4-5
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:20-4
- AI research evidence record grok:web:11
- AI research evidence record anthropic:23-1
- AI research evidence record anthropic:24-1
- AI research evidence record anthropic:33-1
- AI research evidence record anthropic:33-5
- AI research evidence record anthropic:42-5
- AI research evidence record openai:c1
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:33-5
- AI research evidence record anthropic:13-1
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:44-2
- AI research evidence record anthropic:4-13
- AI research evidence record anthropic:5-7
- AI research evidence record anthropic:30-7
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:42-12
- AI research evidence record anthropic:42-5
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record google:1.1.3
- AI research evidence record kimi:marketmuse-official
- AI research evidence record kimi:toolchase-omniseo
- AI research evidence record kimi:get-ryze-profound
- AI research evidence record anthropic:14-4
- AI research evidence record anthropic:33-5
- AI research evidence record grok:web:5
- AI research evidence record anthropic:33-1
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:23-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:19-2
- AI research evidence record anthropic:19-3
- AI research evidence record kimi:toolchase-omniseo
- AI research evidence record kimi:get-ryze-profound
- AI research evidence record kimi:sightivo-semrush-ai
- AI research evidence record google:1.1.2
- AI research evidence record anthropic:33-1
- AI research evidence record kimi:northiscale-se-ranking
- AI research evidence record kimi:contentmonk-semrush
- AI research evidence record anthropic:42-5
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:1-9
- AI research evidence record anthropic:13-1
- AI research evidence record anthropic:14-4
- AI research evidence record openai:c6
- AI research evidence record anthropic:33-5
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:4-5
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c6
- AI research evidence record anthropic:4-13
- AI research evidence record grok:web:1
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record google:1.1.3
- AI research evidence record kimi:marketmuse-official
- AI research evidence record anthropic:19-2
- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record anthropic:1-1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record deepseek:c3
- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record anthropic:1-9
- AI research evidence record anthropic:4-5
- AI research evidence record anthropic:1-1
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 18, 2026
- Platforms analyzed
- 7
- Source records
- 50
- Ranking mentions
- 3 of 7
- Platform share
- 43%
- Final consensus rank
- #9
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
36 independent · 14 company-owned
Evidence support
26 direct · 8 partial
Important limitation
Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.
Source snapshot SHA-256 c644c82ef028536a155fa3db3a56d0c63045dafa2a9557c7969e3a267ab780a3