Answer Capsule
MarketMuse is a good fit for mid-market companies whose priority is topical authority, content briefs, competitive content research, and page-level optimization — not dedicated generative-AI search visibility tracking. Six of seven platforms named MarketMuse during ranking discovery, with an average listed rank of 5.0 and a best rank of 3. The strongest reason to consider it is its proprietary topic modeling, site-wide content inventory, and Personalized Difficulty scoring, which independent reviewers repeatedly describe as differentiated. The main limitation is procurement friction: paid pricing is now demo-gated, plan names conflict across sources, and no reviewed source verifies Google AI Overview, ChatGPT, or Perplexity citation tracking.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 6 of 7 platforms (anthropic, deepseek, google, kimi, openai, perplexity) |
| Share of included platform responses | 85.7% |
| Average listed rank | 5.0 |
| Best listed rank | 3 (deepseek) |
| Relevant product/model/plan | MarketMuse Research or Strategy plan, with Optimize for page-level recommendations |
| Overall use-case fit | Good, with pricing and AI-search coverage caveats |
| Research date | 2026-09-18 |
Why MarketMuse Qualified for This Study
Questions This Section Answers
- Is MarketMuse a good choice for AI SEO Tools for Mid-Market Companies?
- How many AI platforms recommended MarketMuse for mid-market AI SEO in 2026?
MarketMuse qualified because it cleared the study's minimum-mention threshold and was named by six of seven platforms during ranking discovery, a platform share of 85.7%. Only grok did not name it in the ranking stage, though grok did supply a fit assessment.
The platform's listed ranks ranged from 3 (deepseek) to 7 (google), producing an average of 5.0 and a final rank of 4. That spread matters: no platform placed MarketMuse at the top of the mid-market list, but most treated it as a legitimate contender.
Fit ratings split four "good" (anthropic, google, openai, perplexity) against three "mixed" (deepseek, grok, kimi). The split tracks one recurring theme — platforms that weighted content intelligence rated it good, while platforms that weighted AI-search visibility tracking rated it mixed.
The Product, Model, Plan, or Service Most Relevant to AI SEO Tools for Mid-Market Companies
Questions This Section Answers
- Which MarketMuse plan should a mid-market buyer choose for content briefs and topic cluster planning?
- Does MarketMuse's Research plan include competitive research and site-wide content audits?
The relevant offering is the MarketMuse Research or Strategy plan, with Optimize handling page-level recommendations. Platforms converged on this pairing even though they disagreed on plan names.
MarketMuse's own pricing page lists Free, Optimize, Research, and Strategy tiers and identifies Strategy as suitable for mid-market and enterprise content teams [1]. Research lists 1,000 tracked topics, 10 content briefs per month, 3 strategy documents per month, and three users; Strategy lists 10,000 tracked topics, 20 content briefs per month, 5 strategy documents per month, and five users [1].
Platforms used inconsistent labels. Anthropic and deepseek referenced "Standard" and "Team" tiers alongside Research and Strategy [3]. Grok cited Optimize/Standard at roughly $149/month and Research/Team at roughly $399/month [5]. Perplexity listed a "Professional plan (estimated $200–400/month)" and a "Standard / Optimize plan" [6]. The current equivalence of these older names to the official Free/Optimize/Research/Strategy structure is unclear and should be confirmed with the vendor.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree MarketMuse does best for mid-market content teams?
- Is MarketMuse strong at topic modeling and content briefs compared with other AI SEO tools?
Agreement was strongest on content intelligence. Every platform that assessed topic discovery rated it an advantage.
Topic modeling and cluster planning. MarketMuse uses proprietary AI and natural language processing for topic modeling, identifying content gaps and topical authority positioning [7]. Topic Navigator supports topic models, variants, keywords, questions, and SERP analysis [10]. The content brief generator analyzes hundreds to thousands of pages to build topic models [11].
Content briefs and optimization. Research and Strategy include content briefs, with Strategy unlocking all nine brief types [12]. Optimize analyzes existing pages for topical depth, content scores, target scores, suggested word counts, and competitor insights [13]. Independent reviews describe detailed briefs covering structure, expertise, and depth [14].
Site-wide inventory and audits. MarketMuse crawls a site automatically, maintains a running page and topic list, and scores each page for quality and performance [16]. The Content Inventory feature analyzes the whole site to show strengths and weaknesses [18].
Personalized metrics. Patented metrics — Content Score, Topic Authority, Personalized Difficulty, and Competitive Advantage — give an objective basis for deciding what to write [9]. Personalized Difficulty adjusts for a site's own authority rather than using generic keyword difficulty [19].
Mid-market positioning. Multiple independent sources explicitly identify MarketMuse as suited to mid-market and enterprise companies with established content operations [21]. MarketMuse's own pricing page says Strategy is ideal for agencies and SEO, content, or marketing teams at mid-market and enterprise companies publishing a lot of content [24].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Does MarketMuse track brand visibility in ChatGPT, Google AI Overviews, or Perplexity?
- Why do some AI platforms rate MarketMuse as only a mixed fit for mid-market AI SEO?
The sharpest disagreement concerned AI-search visibility. OpenAI stated that reviewed public materials do not clearly verify dedicated tracking of Google AI Overviews, ChatGPT citations, Perplexity visibility, or generative-search share of voice [25]. Kimi went further, stating MarketMuse does not offer dedicated tracking of brand mentions or citations across ChatGPT, Perplexity, Google AI Overviews, Gemini, or other LLMs [28]. Grok described the focus as topical authority modeling with limited direct AI engine tracking [30]. Deepseek called independent evidence of distinct AEO visibility features limited and unclear [31].
Pricing was the second conflict. MarketMuse's official pricing page is demo-gated for paid tiers [25]. Independent sources report historical figures that do not reconcile: Optimize at $99/month, Research at $249/month, Strategy at $499/month [32]; a Standard plan at $149/month [36]; Optimize/Standard at ~$149/month and Research/Team at ~$399/month [37]; and a $200–400/month mid-market range [38]. One source reports a median contract of $468/year based on 14 verified purchases [39], which sits far below the monthly figures and is difficult to reconcile.
Learning curve. Independent sources describe a 3–4 week learning curve [40] alongside a general "steep" characterization [41]. The precise onboarding timeline is uncertain.
Scope breadth. MarketMuse is content-intelligence-centric. Independent comparisons indicate weaker depth in backlink analysis and technical SEO relative to full-suite platforms [44]. Google's assessment states MarketMuse does not provide backlink analysis, keyword rank tracking, technical web crawling, or local SEO tools [45].
Acquisition context. MarketMuse entered a definitive agreement to be acquired by Siteimprove in late 2024 [46], and Siteimprove completed the acquisition on October 31, 2024 [47]. One source links quote-based pricing to that acquisition [48]. The timeline for deeper feature integration into Siteimprove's platform remains partially unclear [46].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does MarketMuse cover competitive research, content briefs, and topic discovery for mid-market teams?
- How does MarketMuse's Personalized Difficulty score help a mid-market team prioritize content?
Competitive research is an advantage. MarketMuse provides SERP X-Ray, SERP Heatmap, competitive content analysis, and site-level competitive analysis, comparing topical coverage and content scores against top Google results [49]. SERP X-Ray and Heatmap break down top-ranking pages by headings, images, and links, giving writers a template before drafting [51].
Content briefs and optimization are an advantage. Research and Strategy include briefs; Strategy includes all nine brief types [49]. Optimize scores drafts in real time against topical depth and competitor averages [53]. Independent reviewers note MarketMuse excels at telling teams what to create, how comprehensive it should be, and how difficult ranking will be [55].
Topic discovery and cluster planning are an advantage. Topic Navigator supports topic models, variants, keywords, questions, and prioritized opportunities; Connect provides internal-linking recommendations; Strategy adds Site Heatmap and inventory intelligence [49]. Strategy enables full topic cluster management with inventory and planning [57].
AI-search insights are unclear. This is the weakest factor for the stated use case. MarketMuse documents AI-driven topic modeling and SERP analysis, but reviewed materials do not verify dedicated generative-search visibility measurement [49]. Buyers whose central requirement is monitoring citations or share of voice in AI answer engines should treat this as unverified.
Practical reporting is an advantage. Strategy supports inventory intelligence, dashboards, page- and topic-level analysis, documents, assignments, notes, due dates, and ROI-oriented metrics such as traffic estimates and value per month [49]. Reporting is documented in user reviews as present but not consistently praised as a strength [59].
Team capacity is neutral. The public pricing page lists three users for Research and five for Strategy; incremental seat pricing is not stated [49]. Independent sources note MarketMuse integrates with major content platforms, CRM systems, and marketing automation tools [61].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does MarketMuse cost per month, and is pricing still self-serve in 2026?
- What are MarketMuse's cancellation and refund terms under the Siteimprove subscription agreement?
Current public pricing is not transparent. MarketMuse's official pricing page lists Free, Optimize, Research, and Strategy tiers but does not display current dollar amounts for paid tiers, directing buyers to book a demo [62]. Independent sources state MarketMuse no longer publishes dollar amounts for any paid tier and that the only way to get a quote is through the Book a demo button [63]. One source ties quote-based pricing to the late-2024 Siteimprove acquisition [65], and another reports the Optimize, Research, and Strategy tiers were moved off the public pricing page in 2026 [66].
Historical and third-party figures conflict:
| Source type | Reported figure |
|---|---|
| Official page | Free, Optimize, Research, Strategy tiers; no current dollar amounts |
| Independent (multiple) | Optimize ~$99/mo, Research ~$249/mo, Strategy ~$499/mo |
| Independent | Standard plan at $149/month |
| Independent | Optimize/Standard ~$149/mo; Research/Team ~$399/mo |
| Independent | Strategy at $499/month or $5,499/year |
| Independent | Median contract $468/year from 14 verified purchases |
| Independent | ~16% annual discount |
Treat all dollar figures as unverified for procurement. The official page is demo-gated, and the $468/year median conflicts with every monthly estimate.
Usage limits. Queries are consumed when applications are run; Research and Strategy list unlimited queries, but content briefs and strategy documents remain monthly-limited, and additional queries can be purchased in batches of 10 with the price shown in-app [62]. One independent source reports Optimize at 100 queries/month and 5 briefs/month (Articles only), Research at unlimited queries and 10 briefs/month (Articles), and Strategy unlocking all brief types [68].
Hidden and ongoing costs. Independent analysis states true cost includes labor for content score iterations, team onboarding, and manual effort, which can double the monthly expense [69]. Google's assessment notes overage fees for additional credits, brief exports, or tracked topics, plus a 4–8 week onboarding period adding indirect productivity cost [70].
Contract and cancellation terms. The Siteimprove Subscription Services Agreement states that unless the Order says otherwise, the Subscription Term is one month, fees are prepaid, and the subscription automatically renews for successive equal periods unless cancelled (official:C3). Either party may cancel at any time with notice; cancellation stops renewal but access continues through the current term, and all fees are non-refundable with no credit 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). One platform reported that contract length, cancellation notice, refunds, renewal mechanics, and overage terms were not verified from reviewed public sources [62] — the terms-of-service excerpt above is the more specific official source.
Best Suited For
Questions This Section Answers
- Which mid-market companies get the most value from MarketMuse's Research or Strategy plan?
- Is MarketMuse worth it for a mid-market team with 50 or more published pages?
MarketMuse fits mid-market content teams with meaningful content inventory and dedicated strategy capacity. Independent sources identify mid-market B2B SaaS companies with 50+ published pages and frequent content operations as a strong fit [71]. One source frames the strategic capabilities as justified for mid-market SaaS companies with $200–500K annual marketing budgets [73].
Other well-matched profiles include digital agencies managing multiple client sites that need site-level audits and topic authority modeling [74], publishers and content-led organizations prioritizing topical authority [71], and organizations where manual research and spreadsheet planning consume significant team hours [76]. One source describes MarketMuse as a strong buy for enterprise teams and a strategic option for mid-market [77].
The platform delivers its highest ROI in the first 6–12 months by surfacing major content gaps, after which value becomes incremental [78].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose MarketMuse for AI SEO Tools for Mid-Market Companies?
- Is MarketMuse a poor fit for small teams or buyers needing transparent self-serve pricing?
Several buyer profiles are poor matches. Small mid-market teams under three people, or new sites with limited content inventory, are repeatedly flagged as poor fits [80]. Freelancers, solo creators, and hobbyists seeking lightweight keyword research or AI writing assistance are also excluded [82].
Buyers requiring verified AI Overview, ChatGPT, or other generative-search citation and share-of-voice tracking should look elsewhere, because no reviewed source verifies that capability [84]. Organizations seeking a complete technical SEO, backlink, rank-tracking, and PPC platform will find MarketMuse incomplete [84].
Teams without dedicated content strategy expertise may underutilize the platform given the reported 3–4 week learning curve [88]. Budget-constrained organizations where $3,000+ annual spend is prohibitive are also flagged [80]. Finally, teams needing end-to-end content execution — drafting, publishing, distribution, and reporting — will need additional tools, because MarketMuse stops at the brief and planning phase [90].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to MarketMuse for a mid-market buyer who needs AI-search visibility tracking?
- Which cheaper MarketMuse alternatives deliver content briefs for under $100 per month?
Choose a dedicated AI-search visibility platform when monitoring citations, mentions, answer inclusion, or share of voice in Google AI Overviews, ChatGPT, or Perplexity is the central requirement [92]. Named options include Orion at $59/month, Otterly Lite at $29/month, and Profound Growth at $295–499/month [93].
Choose a broader SEO suite when technical audits, backlink intelligence, rank tracking, PPC data, and competitive domain research must live in one system. Semrush is described as the most comprehensive alternative, extending beyond content strategy into full SEO [94], and Semrush One at $199/month combines traditional SEO with an AI Visibility Toolkit [95].
Choose a lower-cost brief and optimization tool when content volume is limited and site inventory, personalized authority metrics, and advanced cluster planning are unnecessary. Named alternatives include Frase at $49/month, NeuronWriter at $19/month, Surfer SEO, Clearscope at $129/month, and Dashword at $99/month [96].
Choose a more transparent self-service vendor when procurement requires publicly verifiable pricing and simple cancellation terms [92]. SE Ranking Core at $129/month and Orion are cited as self-serve options with published pricing [93].
Choose an end-to-end content execution platform when the team needs research through publication. Frase and xSeek combine planning with drafting and CMS publishing [97], and ContentMonk at $99/month integrates tracking, analysis, and content generation [100].
Questions to Verify Before Buying
Questions This Section Answers
- What should a mid-market buyer confirm with MarketMuse before signing a contract?
- Does the quoted MarketMuse plan include generative-search monitoring or is that a separate product?
Confirm these items directly with the vendor before committing budget:
- Does the quoted plan include Google AI Overview, ChatGPT, Perplexity, or other generative-search monitoring, or would that require another product [101]?
- What is the current monthly and annual price for Research and Strategy in the United States, and is pricing self-serve, quote-based, or demo-only today [101]?
- Which plan names are current — Free/Optimize/Research/Strategy, or Standard/Team/Premium — and what does each include [101]?
- What are the exact content brief allocation limits and brief type restrictions under the quoted tier, and what is the upgrade path if volume increases [104]?
- Are additional users, sites, tracked topics, briefs, strategy documents, or queries charged separately, and how are overage credits priced [101]?
- Are implementation, training, and onboarding services included, and what is the expected time-to-value [106]?
- What are the exact annual commitment, auto-renewal, cancellation, refund, and price-increase terms (official:C3)?
- Are historical SERP data, rankings, traffic integrations, Google Search Console, and analytics connectors included [101]?
- What reporting exports and API access are included, and are dashboards shareable with non-seat stakeholders [101]?
- How frequently is site inventory refreshed, and what are the crawl, page-count, and domain limits [101]?
- How does MarketMuse integrate with your current CMS, CRM, and content collaboration tools [108]?
- Can the vendor demonstrate measurable workflows for your target AI-search engines and content types [101]?
Final AI Consensus Verdict
MarketMuse is a good fit for mid-market companies that prioritize topical authority, content planning, competitive content analysis, briefs, and optimization workflows — and a mixed fit when dedicated generative-AI search visibility tracking is essential [109]. Four of seven platforms rated it good; three rated it mixed.
The strongest evidence supports topic modeling, content briefs, site-wide inventory, and Personalized Difficulty scoring. The weakest evidence concerns AI-search visibility measurement, which no reviewed source verifies. Pricing is demo-gated, plan names conflict across sources, and dollar figures should be treated as unverified for procurement.
Do not approve a purchase until current pricing, plan-name mapping, usage overages, contract terms, and AI-search coverage are confirmed in writing. Buyers who need AI-search monitoring, broad technical SEO, or transparent self-service pricing should evaluate alternatives first.
How This Review Was Produced
This review evaluates MarketMuse only for the AI SEO Tools for Mid-Market Companies use case. It draws on fit-research responses from seven AI platforms — anthropic, deepseek, google, grok, kimi, openai, and perplexity — collected for a study dated 2026-09-18. Six platforms named MarketMuse during ranking discovery; all seven supplied fit assessments.
Platform responses included company-owned sources (MarketMuse and Siteimprove pages) and independent sources (reviews, directories, and comparison sites). Company-owned claims are labeled as such. No product testing, customer interviews, or independent verification was performed. All citations are platform-reported evidence, not independently verified facts.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date. Deepseek's response is dated 2026-01-15, while the remaining platforms and the study run date are 2026-09-18 [112]. Platform-reported dates are provenance metadata and do not independently prove freshness.
Platform mentions count only platforms that named MarketMuse during ranking discovery; all included platforms evaluated fit. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Conflicting product names, pricing, and capabilities were not resolved by guessing — they are described as conflicts with verification guidance.
Deepseek's response was produced with search disabled, so its claims require explicit verification before being described as current facts. No-search model claims are labeled platform-reported. Missing research was not interpreted as disagreement. AI-platform agreement does not prove product quality.
Explore more ai seo content optimization guidance in the category directory.
Sources
Company-Owned Sources
- Select a Workflow: https://docs.marketmuse.com/getting-started/select-a-workflow/
- MarketMuse Research Application Overview: https://help.marketmuse.com/support/solutions/articles/80001167935-research-application-overview
- AI Content Planning and Optimization Software - MarketMuse: https://www.marketmuse.com/
- Content Brief Generator: https://www.marketmuse.com/content-briefs/
- Optimize - MarketMuse: https://www.marketmuse.com/optimize/
- Pricing - MarketMuse: https://www.marketmuse.com/pricing/
- Siteimprove announcement - MarketMuse: https://www.marketmuse.com/siteimprove-acquisition/
- Siteimprove Completes Acquisition of MarketMuse | Press Release: https://www.siteimprove.com/news/siteimprove-completes-acquisition-of-marketmuse/
- Siteimprove To Acquire Leading AI Content Strategy and Intelligence Platform MarketMuse: https://www.siteimprove.com/news/siteimprove-to-acquire-marketmuse/
- Official pricing and terms source: https://www.marketmuse.com/terms-of-service/
Additional AI research evidence112 records
- AI research evidence record openai:c1
- AI research evidence record perplexity:1
- AI research evidence record anthropic:4-13
- AI research evidence record deepseek:c3
- AI research evidence record grok:web:1
- AI research evidence record perplexity:12
- AI research evidence record anthropic:16-2
- AI research evidence record anthropic:17-2
- AI research evidence record anthropic:21-9
- AI research evidence record openai:c2
- AI research evidence record perplexity:15
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record grok:web:0
- AI research evidence record anthropic:17-8
- AI research evidence record anthropic:17-3
- AI research evidence record anthropic:17-4
- AI research evidence record anthropic:14-7
- AI research evidence record anthropic:14-8
- AI research evidence record anthropic:18-3
- AI research evidence record anthropic:19-4
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:23-1
- AI research evidence record perplexity:1
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record kimi:useorion-2026
- AI research evidence record kimi:aiagentsquare-2026semrush
- AI research evidence record grok:web:3
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:20-5
- AI research evidence record anthropic:20-6
- AI research evidence record perplexity:7
- AI research evidence record grok:web:1
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:5-13
- AI research evidence record anthropic:24-6
- AI research evidence record anthropic:11-6
- AI research evidence record anthropic:18-3
- AI research evidence record anthropic:23-11
- AI research evidence record deepseek:c4
- AI research evidence record google:1.1.3
- AI research evidence record google:2.1.3
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:4-9
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:17-7
- AI research evidence record anthropic:17-8
- AI research evidence record openai:c3
- AI research evidence record google:1.1.9
- AI research evidence record anthropic:25-8
- AI research evidence record openai:c4
- AI research evidence record kimi:marketmuse-official
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record deepseek:c4
- AI research evidence record anthropic:22-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-7
- AI research evidence record anthropic:4-8
- AI research evidence record anthropic:4-9
- AI research evidence record anthropic:35-6
- AI research evidence record openai:c5
- AI research evidence record anthropic:4-13
- AI research evidence record anthropic:8-4
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:19-4
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:4-11
- AI research evidence record anthropic:19-11
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:17-5
- AI research evidence record anthropic:27-1
- AI research evidence record anthropic:27-3
- AI research evidence record anthropic:27-4
- AI research evidence record anthropic:27-1
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:18-3
- AI research evidence record anthropic:25-5
- AI research evidence record openai:c1
- AI research evidence record kimi:useorion-2026
- AI research evidence record google:1.1.3
- AI research evidence record deepseek:c4
- AI research evidence record anthropic:24-6
- AI research evidence record anthropic:11-6
- AI research evidence record anthropic:25-9
- AI research evidence record anthropic:14-2
- AI research evidence record openai:c1
- AI research evidence record kimi:useorion-2026
- AI research evidence record anthropic:28-1
- AI research evidence record kimi:aiagentsquare-2026semrush
- AI research evidence record anthropic:25-5
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:21-6
- AI research evidence record anthropic:4-8
- AI research evidence record kimi:contentmonk-2026semrush
- AI research evidence record openai:c1
- AI research evidence record perplexity:1
- AI research evidence record perplexity:12
- AI research evidence record anthropic:4-13
- AI research evidence record openai:c5
- AI research evidence record anthropic:8-4
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:22-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-11
- AI research evidence record perplexity:1
- AI research evidence record deepseek:c1
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- MarketMuse Pricing 2026 - TrustRadius: https://www.trustradius.com/products/marketmuse/pricing
- Best Alternatives to MarketMuse for AI-Optimized Content Strategy 2026: https://www.xseek.io/blogs/articles/best-alternatives-to-marketmuse-for-ai-optimized-content-strategy-2026
- MarketMuse Pricing 2026: Plans, Costs & Alternatives - Wyrote: https://wyrote.com/pages/seo-tool-pricing/marketmuse-pricing
Additional AI research evidence112 records
- AI research evidence record openai:c1
- AI research evidence record perplexity:1
- AI research evidence record anthropic:4-13
- AI research evidence record deepseek:c3
- AI research evidence record grok:web:1
- AI research evidence record perplexity:12
- AI research evidence record anthropic:16-2
- AI research evidence record anthropic:17-2
- AI research evidence record anthropic:21-9
- AI research evidence record openai:c2
- AI research evidence record perplexity:15
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record grok:web:0
- AI research evidence record anthropic:17-8
- AI research evidence record anthropic:17-3
- AI research evidence record anthropic:17-4
- AI research evidence record anthropic:14-7
- AI research evidence record anthropic:14-8
- AI research evidence record anthropic:18-3
- AI research evidence record anthropic:19-4
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:23-1
- AI research evidence record perplexity:1
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record kimi:useorion-2026
- AI research evidence record kimi:aiagentsquare-2026semrush
- AI research evidence record grok:web:3
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:4-1
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:20-5
- AI research evidence record anthropic:20-6
- AI research evidence record perplexity:7
- AI research evidence record grok:web:1
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:5-13
- AI research evidence record anthropic:24-6
- AI research evidence record anthropic:11-6
- AI research evidence record anthropic:18-3
- AI research evidence record anthropic:23-11
- AI research evidence record deepseek:c4
- AI research evidence record google:1.1.3
- AI research evidence record google:2.1.3
- AI research evidence record google:2.2.3
- AI research evidence record anthropic:4-9
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:17-7
- AI research evidence record anthropic:17-8
- AI research evidence record openai:c3
- AI research evidence record google:1.1.9
- AI research evidence record anthropic:25-8
- AI research evidence record openai:c4
- AI research evidence record kimi:marketmuse-official
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record deepseek:c4
- AI research evidence record anthropic:22-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-7
- AI research evidence record anthropic:4-8
- AI research evidence record anthropic:4-9
- AI research evidence record anthropic:35-6
- AI research evidence record openai:c5
- AI research evidence record anthropic:4-13
- AI research evidence record anthropic:8-4
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:19-4
- AI research evidence record anthropic:22-1
- AI research evidence record anthropic:4-11
- AI research evidence record anthropic:19-11
- AI research evidence record anthropic:26-2
- AI research evidence record anthropic:17-5
- AI research evidence record anthropic:27-1
- AI research evidence record anthropic:27-3
- AI research evidence record anthropic:27-4
- AI research evidence record anthropic:27-1
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:18-3
- AI research evidence record anthropic:25-5
- AI research evidence record openai:c1
- AI research evidence record kimi:useorion-2026
- AI research evidence record google:1.1.3
- AI research evidence record deepseek:c4
- AI research evidence record anthropic:24-6
- AI research evidence record anthropic:11-6
- AI research evidence record anthropic:25-9
- AI research evidence record anthropic:14-2
- AI research evidence record openai:c1
- AI research evidence record kimi:useorion-2026
- AI research evidence record anthropic:28-1
- AI research evidence record kimi:aiagentsquare-2026semrush
- AI research evidence record anthropic:25-5
- AI research evidence record anthropic:35-1
- AI research evidence record anthropic:21-6
- AI research evidence record anthropic:4-8
- AI research evidence record kimi:contentmonk-2026semrush
- AI research evidence record openai:c1
- AI research evidence record perplexity:1
- AI research evidence record perplexity:12
- AI research evidence record anthropic:4-13
- AI research evidence record openai:c5
- AI research evidence record anthropic:8-4
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:22-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-11
- AI research evidence record perplexity:1
- 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
- 49
- Ranking mentions
- 6 of 7
- Platform share
- 86%
- Final consensus rank
- #4
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
38 independent · 11 company-owned
Evidence support
34 direct · 15 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 cb3f2eada6fb0d4800d1c66766bbdffcd2b167e14527affaa9b014c7c47d6a40