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

AI Consensus Fit Review

SE Ranking AI SEO Tool Fit Review for SaaS Companies

SE Ranking is a good fit for most SaaS companies that need competitive content research, content-gap analysis, topic discovery, and baseline AI-search visibility in one workspace, but it is a mixed fit if dedicated multi-engine AI-answer tracking is the primary buying criterion.

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

Answer Capsule

SE Ranking is a good fit for most SaaS companies that need competitive content research, content-gap analysis, topic discovery, and baseline AI-search visibility in one workspace, but it is a mixed fit if dedicated multi-engine AI-answer tracking is the primary buying criterion. Three of seven platforms named SE Ranking during the ranking stage (anthropic, openai, perplexity), a 42.9% share of included platform responses, at an average listed rank of 6.0 and a best rank of 5. The strongest reason to consider it is the combination of competitor-driven content planning and AI-search monitoring at a price below larger suites. The main limitation is that AI-search tracking is packaged as a paid add-on in several sources, and engine coverage is not fully transparent.

Research Snapshot

FieldValue
Platform mentions in ranking stage3 of 7 (anthropic, openai, perplexity)
Share of included platform responses42.9%
Average listed rank6.0
Best listed rank5
Relevant product/model/planCore or Growth plan with Content Marketing enabled; AI Search/GEO add-on or Enterprise configuration where prompt volume, competitor coverage, or reporting needs exceed included limits
Overall use-case fitGood (six platforms rated good; kimi rated mixed)
Research date2026-09-18

Why SE Ranking Qualified for This Study

Questions This Section Answers

  • Is SE Ranking a good choice for AI SEO Tools for SaaS Companies?
  • Why did only three of seven AI platforms name SE Ranking in the ranking stage?

SE Ranking qualified because it directly addresses the buyer's stated criteria: competitive content research, content-gap analysis, optimization recommendations, topic discovery, and AI-search capabilities. Three of seven platforms named it during ranking discovery, and all seven platforms that evaluated fit returned a substantive assessment, with six rating it a good fit and one (kimi) rating it mixed.

The qualification rests on documented capability rather than ranking position alone. SE Ranking's Content Marketing platform documents competitor research, keyword and topic discovery, SERP-based briefs, AI writing, optimization, WordPress publishing, and performance monitoring [1]. Its Content Idea Finder clusters related terms and surfaces competitor titles and keyword data [2], and its Content Editor and Content Idea Finder are documented as AI-assisted content-marketing tools [3]. Independent coverage describes SE Ranking as an all-in-one platform combining rank tracking, technical audits, keyword and backlink research, competitor analysis, content tools, and AI search visibility [4].

The ranking-stage mention count is lower than the fit-evaluation count because the two stages measure different things: ranking discovery counted only platforms that named SE Ranking in their recommendation list, while fit evaluation captured every platform's assessment of whether SE Ranking suits this use case.

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

Questions This Section Answers

  • Which SE Ranking plan should a SaaS company choose for category, comparison, and alternatives content tracking?
  • Does SE Ranking's Core plan include AI-search visibility, or is the AI Search add-on required?

The relevant configuration is the Core or Growth plan with Content Marketing enabled, plus AI Search/GEO capacity where prompt volume, competitor coverage, or reporting needs exceed included limits. SE Ranking's own materials describe the Content Marketing platform as covering competitor research through performance monitoring [5], and the current plan page lists daily prompt tracking, five LLMs to track, unlimited AI-source tracking, and AI competitor research for five domains on Core and fifteen on Growth [6].

Plan packaging is the central ambiguity. Independent 2026 reviews differ on whether AI-search tracking is included in base plans or delivered primarily through an add-on [7]. One independent review states AI search tracking is a dedicated paid add-on at $89/month, or $71.20/month annually, layered on the base plan [8]. Another states SE Ranking includes AI search tracking in the Pro plan at no additional cost [9]. A third describes AI Search as a paid add-on starting at $71.20/month annual or $89/month monthly [10]. These are conflicting platform-reported claims, and the buyer should confirm packaging directly.

For SaaS category, comparison, alternatives, and recommendation prompts, the practical question is whether the selected tier's daily prompt allowance and AI-competitor domain count cover the product lines and markets being tracked. Published limits are 100 daily prompts and 5 AI-competitor domains on Core, and 250 daily prompts and 15 AI-competitor domains on Growth [6].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree SE Ranking does well for SaaS content research and gap analysis?
  • Is SE Ranking strong enough at competitive content research to justify choosing it over a dedicated AI-search tool?

Platforms agreed strongly on traditional SEO and content-research strength. Six of seven platforms rated SE Ranking a good fit for this use case; kimi rated it mixed.

Competitive content research drew consistent support. SE Ranking's Competitive Research tool identifies keywords competitors target that the buyer's site does not, and the Competitor Comparison tab allows simultaneous comparison against multiple competitors to surface missing keywords [11]. Independent coverage confirms the platform detects both keyword and backlink gaps [13]. SE Ranking's own materials describe competitor-domain and keyword research that exposes competitor topics and ranking keywords [14].

Content-gap analysis and topic discovery also drew agreement. SE Ranking enables identification of content gaps through competitor analysis and includes keyword clustering, with documentation describing support for each step in the content gap analysis process [16]. Content Idea Finder clusters related terms, shows high-volume terms and competitor titles, and provides keyword and SERP data for topic selection [15]. Independent coverage describes content brief generation that analyzes competitor URLs [18].

Optimization recommendations were consistently supported. Content Editor creates SERP-informed briefs covering word count, keywords, structure, media, questions, and related terms, plus content scoring and on-page recommendations [14]. Independent coverage describes site audits, on-page checking, SERP analysis, and an AI-powered content editor with SEO suggestions [19].

Rank tracking and integration breadth were also agreed. SE Ranking provides daily rank tracking across Google, Bing, Yahoo, and YouTube at country, city, and ZIP code levels across 188+ countries, with SERP feature tracking and historical data [20]. Integrations include Google Search Console, Google Analytics, Looker Studio, and API access [25], plus Model Context Protocol integration for connecting to AI assistants [26].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • How deep is SE Ranking's AI-search tracking compared with dedicated AI visibility platforms?
  • Which AI engines does SE Ranking actually track, and is that coverage verified?

The sharpest disagreement concerns AI-search depth. One platform states SE Ranking's AI tracker is positioned as an added visibility capability rather than a full prompt-tracking AEO suite, and that the depth of per-prompt tracking of category, alternatives, and recommendation prompts is not fully specified in public sources [27]. Another states SE Ranking delivers solid traditional SEO tools built for a time when Google's blue links were the only game in town, and that its feature set falls short when trying to dominate AI Overviews and ChatGPT citations [29]. A third states SE Ranking lacks dedicated multi-LLM citation monitoring across ChatGPT, Claude, Gemini, Perplexity, and Grok as offered by specialized platforms [31].

Countering this, one platform describes SE Ranking's AI Search Toolkit as tracking brand mentions, citations, and links across Google AI Overviews, Google AI Mode, ChatGPT, Gemini, and Perplexity, with cached copies of AI answers and analysis of whether mentions include clickable links [34]. Another states the platform tracks brand mentions, citations, sentiment, and share of voice across five AI engines with daily prompt tracking [38].

Engine coverage is uncertain. The public plan comparison page does not clearly name every tracked engine [40]. One platform reports no tracking for Microsoft Copilot or Claude [38]. Another reports the AI Search add-on supports engines such as Google AI Overviews, AI Mode, ChatGPT, Gemini, and Perplexity, but notes exact inclusion depends on the plan or add-on and that public details vary by source [41].

Measurement validation is a shared gap. Public evidence does not establish that SE Ranking's AI-visibility measurements are independently audited or accurate enough for precise share-of-voice or revenue attribution [45]. One platform states no independently verified methodology or accuracy benchmark for AI-visibility measurement was located [27]. Another states independent, audited accuracy evidence was not found in the sources checked [47].

Automation is another limitation. One platform states SE Ranking lacks agentic content optimization that auto-fixes schema or deploys structured data at scale, and that site audit recommendations require manual implementation [48]. Another states the Content Editor lacks direct automation and publishing integrations to CMS stacks compared with platforms focused on automated internal linking and headless CMS exports [50].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Can SE Ranking track category, comparison, alternatives, and product recommendation prompts for a SaaS company?
  • Does SE Ranking support the workflow from competitor research through content brief, optimization, and publishing?

SE Ranking covers the buyer's five stated criteria with documented features, but the AI-search layer is the weakest of the five for SaaS prompt tracking.

Competitive content research. Advantage. The platform supports competitor-domain and keyword research, including discovery of competitor topics and ranking keywords [51]. Independent coverage confirms keyword and backlink gap detection [53] and simultaneous multi-competitor comparison [54].

Content-gap analysis. Advantage, with a caveat. Public materials describe the capability mainly through competitor and keyword research rather than a separately documented SaaS-specific content-gap workflow [51]. One platform notes content gap analysis is traditional SERP-based, not AI-specific gap analysis for LLM recommendation prompts [55].

Topic discovery. Advantage. Content Idea Finder clusters related terms, shows high-volume terms and competitor titles, and provides keyword and SERP data [52]. Independent coverage describes semantic keyword clustering and content scoring [56].

Optimization recommendations. Advantage. Content Editor creates SERP-informed briefs covering word count, keywords, structure, media, questions, and related terms, plus content scoring and on-page recommendations [51]. One platform notes the on-page and content editor generates optimization recommendations but that public materials do not establish a distinct SaaS-specific recommendation engine for AI answer prompts [57].

AI-search capabilities. Advantage with material limits. Current Core and Growth plan materials list daily prompt tracking, five LLMs to track, unlimited AI-source tracking, and AI competitor research for five and fifteen domains respectively [58]. One platform describes tracking of brand mentions, citations, sentiment, and share of voice across five AI engines with daily prompt tracking of 100 prompts on Core and 250 on Growth, plus competitor benchmarks and prompt/source analysis [59]. Another describes an AI Search Toolkit tracking brand mentions, citations, and links across Google AI Overviews, Google AI Mode, ChatGPT, Gemini, and Perplexity, with cached AI-answer copies and domain-authority evaluation of sources [61].

AI-assisted content production. Advantage with a review requirement. The Content Marketing platform includes AI Writer capabilities for articles, headings, FAQs, meta tags, rewriting, and expansion, plus WordPress publishing and Search Console-linked performance monitoring [51]. One platform reports the AI Content Generator uses GPT-4o for one-click draft generation, SEO suggestions, and text quality checks, with paid add-on pricing starting at $29/month [65]. These outputs still require human review for product accuracy, differentiation, and SaaS positioning [51].

Workflow integration. Advantage. Integrations include Google Search Console, Google Analytics, Looker Studio, and API access [66], plus Model Context Protocol integration for direct connection to AI assistants [67].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does SE Ranking cost per month for a SaaS company that needs AI-search tracking?
  • Are there setup, add-on, or cancellation fees with SE Ranking, and is annual billing required?

Current official pricing lists Core at $129/month monthly or $103.20/month billed annually, and Growth at $279/month monthly or $223.20/month billed annually, with Enterprise custom-priced [69]. Annual billing saves 20% [72]. A 14-day trial is available without a credit card, and there is no permanent free plan [72].

Add-on costs materially change total cost of ownership. The Agency Pack starts at $69/month on annual billing [69]. The API add-on starts at $45/month on annual billing for existing subscriptions, with standalone API and higher-volume tiers costing more [69]. One platform reports API access at $149/month, or $119/month annually, for higher-volume queries. Official API pricing shows a standalone tier at $179–$200/month annual billing only with 1M credits/year, an add-on at $45/month annual billing only with 250K credits/year, and a wallet option at $50/month pay-as-you-go (official:C2).

AI-search capacity pricing is the most contested figure. One platform reports the AI Search add-on at $89/month, or $71.20/month annually [74]. Another reports AI Search as a paid add-on starting at $71.20/month annual or $89/month monthly [75]. A third reports AI Search visibility starting around $71.20/month annually or $89/month month-to-month [76]. One platform states AI search tracking is included in the Pro plan at no additional cost [78]. These claims conflict, and the exact incremental price for any AI Search/GEO add-on should be confirmed at checkout or with sales [69].

Extra manager seats start at $16/month, and extra keywords, articles, and locations carry separate charges [69]. Content Marketing features require upgrade to Growth or higher according to one platform, while another reports the Content Marketing add-on starts at $29/month [79].

Contract terms are comparatively flexible. Core and Growth are available monthly or annually, and the official FAQ states customers can upgrade, downgrade, switch billing cadence, and buy or cancel add-ons, with annual plans normally billed upfront [72]. Cancellation is available anytime per official terms, and payments are non-refundable except where service was not delivered as promised [80]. Enterprise terms and any negotiated quarterly payment arrangement are custom and should be confirmed in writing [69].

A significant pricing conflict should be flagged. The ranking-stage recommendation lists Core at $55/month and Professional at $128/month, while the current official pricing page lists Core at $129 monthly or $103.20 annual and Growth at $279 monthly or $223.20 annual; the older figures should not be used without confirmation [69]. One platform notes the previous Essential, Pro, and Business tiers were retired in late 2025 in favor of Core and Growth self-serve plans [82], and that legacy marketing materials and older reviews frequently reference an outdated $65 Essential/Pro/Business tier structure [71].

Best Suited For

Questions This Section Answers

  • Who gets the most value from SE Ranking for SaaS category and comparison content?
  • Is SE Ranking worth it for a budget-conscious SaaS team that also needs AI-search monitoring?

SE Ranking is best suited to budget-conscious SaaS SEO teams combining keyword research, competitor research, content briefs, on-page optimization, rank tracking, and initial AI-search monitoring in one workspace. Small and mid-market SaaS companies tracking category, comparison, alternatives, and recommendation queries across a defined prompt set are a strong match. Teams preferring one SEO workspace rather than separate traditional SEO and AI-visibility products also fit well.

Independent evidence supports the value positioning. G2 reviewers overwhelmingly describe SE Ranking as exceptional value for money compared to Semrush, Ahrefs, and Moz [83]. One platform reports SE Ranking's Pro tier at $89/month annual undercuts Semrush at $139.95/month and Ahrefs at $129/month [84]. Another describes it as a value-oriented SEO suite with AI-search tracking [85].

SaaS agencies and companies managing multiple product lines are also served, given white-label reporting and Agency Pack support. Teams targeting traditional organic search with daily rank monitoring across 188+ countries fit the platform's core strength [86].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose SE Ranking for AI SEO Tools for SaaS Companies?
  • Is SE Ranking a poor fit for a SaaS company whose primary channel is AI search visibility?

Enterprise SaaS organizations needing high-volume prompt monitoring, extensive AI-engine coverage, custom data integrations, or mature attribution analytics are not the best fit. Teams whose primary requirement is dedicated AI-answer monitoring rather than broader SEO and content operations should look elsewhere. Buyers requiring independently validated accuracy or guaranteed coverage of every relevant AI-search surface cannot get that assurance from the public evidence.

One platform states SE Ranking is not best for SaaS companies for which AI search visibility across ChatGPT, Perplexity, and Gemini citations is the primary optimization channel, nor for high-growth SaaS brands requiring agentic content optimization and auto-remediation at scale. Another states it is not best for SaaS companies prioritizing dedicated AI answer-engine optimization across five or more LLMs, nor for teams needing automated content briefs and AI-drafted fixes shipped directly to their CMS.

Backlink depth is a documented gap. One platform states SE Ranking's backlink data depth trails Ahrefs, which may limit competitive intelligence for SaaS companies competing in backlink-sensitive niches. Another states the backlink database remains less exhaustive than dedicated enterprise alternatives like Ahrefs.

Keyword tracking limits can bind quickly. One platform reports keyword tracking caps at 500 for Core and 2,000–3,500 for Growth, and that SaaS companies with large product catalogs or aggressive keyword expansion hit limits quickly and must upgrade. Another reports the Core plan includes 500 keywords for daily tracking [88], while the official plan page lists 2,000 keywords on Core and 5,000 on Growth [89]. This is a direct conflict between platform-reported and official figures.

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to SE Ranking for a SaaS company that needs deep multi-engine AI prompt tracking?
  • When should a SaaS buyer choose a dedicated AI visibility platform instead of SE Ranking?

Choose a dedicated AI-search visibility platform when monitoring many AI assistants, large prompt libraries, citation sources, sentiment, or advanced AI-answer analytics is the primary requirement. One platform names specialized AEO tools and Semrush's AI Visibility Toolkit as alternatives when AI search visibility and GEO are the primary optimization channel. Another names Pondral, RanksPro, ContentMonk, and dedicated GEO/AEO platforms for buyers prioritizing alternatives, best, and comparison prompt optimization across ChatGPT, Claude, Gemini, Perplexity, and Grok.

Choose a larger enterprise SEO platform when the buyer needs deeper backlink databases, more mature enterprise workflows, or extensive custom reporting and governance. One platform states Ahrefs provides superior backlink data depth and competitive link intelligence, and that Semrush or Moz Pro offer enterprise-grade support tiers.

Choose a lower-cost traditional SEO or content tool when AI-search monitoring is not material and the buyer mainly needs keyword research, briefs, and on-page optimization. One platform states a standalone AI visibility tracker could be more cost-effective than a full suite if the SaaS already has a content and SEO stack.

For agentic content optimization and auto-remediation, one platform states Semrush's content marketing automation or dedicated content platforms such as MarketMuse and Clearscope offer more sophisticated features. Another states a different option is better if the SaaS company has extensive content production volume and needs hands-free automation to programmatically publish and build internal links directly inside their CMS.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a SaaS buyer confirm with SE Ranking before signing a contract?
  • Which AI engines and prompt limits are actually included in the SE Ranking plan being quoted?

The following questions are drawn from platform-reported verification lists and should be resolved in writing before purchase.

Which exact AI engines and surfaces are included in the selected plan in the United States: Google AI Overviews, Google AI Mode, ChatGPT, Gemini, Perplexity, or others ? Are the 100 or 250 daily prompts account-wide, project-level, market-level, or otherwise partitioned ? Can prompts be segmented by category, competitor, comparison, alternatives, branded, and recommendation intent, with historical exports and API access ?

What precisely is included in Content Marketing on Core versus Growth, including article limits, AI Writer usage, plagiarism and readability checks, and WordPress publishing ? Is a separate AI Search/GEO add-on required for the intended AI-source, citation, competitor, or reporting features, and what is its current price ? How are AI visibility, citations, mentions, sentiment, and share-of-voice calculated, and can the buyer inspect the underlying responses and sources ?

What are the overage prices for keywords, content articles, manager seats, API credits, projects, and AI prompts ? Are annual subscriptions billed upfront, and what refund, cancellation, renewal, and data-retention terms apply ? Can the platform export prompt-level AI results and connect them to Search Console, analytics, CRM, or warehouse systems ? What service levels, onboarding, support, and security documentation are available for the selected plan ?

Additional verification points from other platforms: whether the AI Search add-on provides coverage for ChatGPT, Perplexity, Gemini, and Google AI Overviews or only a subset; how frequently AI search visibility data is updated; whether the free 14-day trial includes AI Search features or requires purchasing the add-on to evaluate; whether SE Ranking offers a US data-processing agreement, SLA, or security documentation for SaaS procurement; and whether the platform can identify which specific pages AI engines cite when recommending competitors in SaaS categories.

Final AI Consensus Verdict

SE Ranking is a good fit for SaaS companies that need competitive content research, content-gap and topic discovery, SERP-based optimization, AI-assisted content workflows, and initial AI-search monitoring in one platform. Six of seven platforms rated it a good fit for this use case; one rated it mixed. Three of seven platforms named it during ranking discovery at an average listed rank of 6.0.

Buy Core for a focused or budget-conscious program and Growth when prompt, project, keyword, content, or competitor capacity matters. Treat it as a mixed or weaker fit if dedicated AI-search intelligence, broad engine coverage, rigorous measurement validation, or enterprise-scale monitoring is the main buying criterion.

The consensus is not that SE Ranking is best-in-class at AI-search tracking. The consensus is that it consolidates traditional SEO research and content workflows with a usable but less specialized AI-visibility layer, at a price below larger suites, and that buyers whose primary channel is AI search should evaluate dedicated alternatives alongside it. Platform agreement on fit does not establish product quality or measurement accuracy; no independent audit of SE Ranking's AI-visibility methodology was located in the supplied sources.

How This Review Was Produced

This review was produced from seven AI platform responses collected for the query: which AI SEO tools would you recommend for SaaS companies needing competitive content research, content-gap analysis, optimization recommendations, topic discovery, and AI-search capabilities. The research date is 2026-09-18. Platforms evaluated fit for SE Ranking against the stated use case, and three platforms named SE Ranking during ranking discovery.

The review preserves platform-reported claims as platform-reported. Company-owned sources (seranking.com, help.seranking.com) are distinguished from independent sources (reviews, directories, journalism) throughout. Where platforms disagreed on pricing, packaging, or engine coverage, the conflict is stated rather than resolved. No personal testing, customer experience, or independent verification of SE Ranking's performance was performed for this review.

Methodology Limitations

Platform-reported research dates differ from the authoritative run date. DeepSeek's response carries a research date of 2026-02-14, while the run research date is 2026-09-18; other platforms report 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness.

Platform mentions count only platforms that named SE Ranking during ranking discovery; all seven included platforms evaluated fit, so the fit-evaluation base is larger than the ranking-mention base.

Conflicting product names, pricing, and capabilities were not resolved by guessing. The supplied recommendation of $55/month Core and $128/month Professional conflicts with the current official pricing page listing Core at $129 monthly or $103.20 annual and Growth at $279 monthly or $223.20 annual [90]. Legacy Essential, Pro, and Business tier names appear in older sources and were retired in late 2025 according to one platform [91].

AI-search packaging is unresolved across sources. Some sources describe AI Search as a paid add-on at $71.20–$89/month; one describes it as included in the Pro plan at no additional cost [92]. Engine coverage varies by source, and one platform reports no tracking for Microsoft Copilot or Claude [95].

The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. DeepSeek's response was produced without search enabled, so its claims require explicit verification before being described as current facts. No independently audited accuracy evidence for SE Ranking's AI-search tracking was located in the sources checked [96].

Keyword and prompt limit figures conflict between platform-reported and official sources: one platform reports 500 keywords on Core [99], while the official plan page lists 2,000 keywords on Core and 5,000 on Growth [90].

See the broader AI SEO Tools for SaaS Companies consensus index for comparisons across qualified options.

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

Sources

Company-Owned Sources

  • Brandofy for SaaS: https://brandofy.ai/for-saas
  • AI SEO Agent That Writes and Publishes the Fix | Meev: https://meev.ai/growth-agent
  • AI Visibility for SaaS & B2B Tech | Pondral: https://pondral.com/saas
  • SEORCE - AI-Powered SEO Platform: https://seorce.com/product
  • SE Ranking — official website: https://seranking.com/
  • SE Ranking AI Search tracking feature page: https://seranking.com/ai-search.html
  • Meet SE Ranking’s New Content Tool: https://seranking.com/blog/content-tool/
  • Content Marketing Platform: Write, Optimize, Track: https://seranking.com/content-marketing-platform.html
  • Content Marketing Platform: Write, Optimize, Track: https://seranking.com/content-marketing-platform.html?banner=header
  • SE Ranking Content Marketing tools: https://seranking.com/content-marketing.html
  • SE Ranking FAQ: Features, Data & Pricing Answered: https://seranking.com/faq.html
  • Subscription - SE Ranking: https://seranking.com/subscription.html
  • The SEO Tool Built for SaaS Growth in the AI Era: https://www.rankspro.io/seo-tool-for-saas-companies
  • Official pricing and terms source: https://seranking.com/api-pricing.html
  • Additional AI research evidence99 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c2
    3. AI research evidence record openai:c3
    4. AI research evidence record anthropic:8-1
    5. AI research evidence record openai:c1
    6. AI research evidence record openai:c4
    7. AI research evidence record openai:c7
    8. AI research evidence record anthropic:7-17
    9. AI research evidence record anthropic:9-1
    10. AI research evidence record google:1.3.3
    11. AI research evidence record anthropic:12-4
    12. AI research evidence record anthropic:12-7
    13. AI research evidence record anthropic:2-23
    14. AI research evidence record openai:c1
    15. AI research evidence record openai:c2
    16. AI research evidence record anthropic:12-1
    17. AI research evidence record anthropic:12-3
    18. AI research evidence record anthropic:14-12
    19. AI research evidence record grok:web:13
    20. AI research evidence record anthropic:8-8
    21. AI research evidence record anthropic:8-9
    22. AI research evidence record anthropic:8-10
    23. AI research evidence record anthropic:8-11
    24. AI research evidence record anthropic:9-13
    25. AI research evidence record anthropic:9-7
    26. AI research evidence record anthropic:9-8
    27. AI research evidence record deepseek:c2
    28. AI research evidence record deepseek:c4
    29. AI research evidence record anthropic:6-12
    30. AI research evidence record anthropic:6-13
    31. AI research evidence record kimi:contentmonk-semrush
    32. AI research evidence record kimi:pondral-saas
    33. AI research evidence record kimi:rankspro-saas
    34. AI research evidence record google:1.1.1
    35. AI research evidence record google:1.1.2
    36. AI research evidence record google:1.2.1
    37. AI research evidence record google:1.2.3
    38. AI research evidence record grok:web:0
    39. AI research evidence record grok:web:11
    40. AI research evidence record openai:c4
    41. AI research evidence record perplexity:c3
    42. AI research evidence record perplexity:c4
    43. AI research evidence record perplexity:c5
    44. AI research evidence record perplexity:c6
    45. AI research evidence record openai:c6
    46. AI research evidence record openai:c7
    47. AI research evidence record deepseek:c5
    48. AI research evidence record anthropic:6-18
    49. AI research evidence record anthropic:6-19
    50. AI research evidence record google:1.4.3
    51. AI research evidence record openai:c1
    52. AI research evidence record openai:c2
    53. AI research evidence record anthropic:2-23
    54. AI research evidence record anthropic:12-7
    55. AI research evidence record kimi:contentmonk-semrush
    56. AI research evidence record google:1.4.1
    57. AI research evidence record deepseek:c1
    58. AI research evidence record openai:c4
    59. AI research evidence record grok:web:0
    60. AI research evidence record grok:web:11
    61. AI research evidence record google:1.1.1
    62. AI research evidence record google:1.1.2
    63. AI research evidence record google:1.2.3
    64. AI research evidence record openai:c3
    65. AI research evidence record google:1.4.2
    66. AI research evidence record anthropic:9-7
    67. AI research evidence record anthropic:9-8
    68. AI research evidence record google:1.4.4
    69. AI research evidence record openai:c4
    70. AI research evidence record anthropic:24-2
    71. AI research evidence record google:1.3.1
    72. AI research evidence record openai:c5
    73. AI research evidence record anthropic:3-3
    74. AI research evidence record anthropic:7-17
    75. AI research evidence record google:1.3.3
    76. AI research evidence record perplexity:c1
    77. AI research evidence record perplexity:c4
    78. AI research evidence record anthropic:9-1
    79. AI research evidence record google:1.4.2
    80. AI research evidence record anthropic:3-5
    81. AI research evidence record anthropic:3-6
    82. AI research evidence record google:1.3.2
    83. AI research evidence record anthropic:19-5
    84. AI research evidence record anthropic:6-2
    85. AI research evidence record openai:c6
    86. AI research evidence record anthropic:8-9
    87. AI research evidence record anthropic:9-13
    88. AI research evidence record anthropic:26-1
    89. AI research evidence record openai:c4
    90. AI research evidence record openai:c4
    91. AI research evidence record google:1.3.2
    92. AI research evidence record anthropic:9-1
    93. AI research evidence record anthropic:7-17
    94. AI research evidence record google:1.3.3
    95. AI research evidence record grok:web:0
    96. AI research evidence record deepseek:c2
    97. AI research evidence record deepseek:c4
    98. AI research evidence record deepseek:c5
    99. AI research evidence record anthropic:26-1

Independent Sources

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
45
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

29 independent · 16 company-owned

Evidence support

28 direct · 16 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 c6894a88de7c752af98bba1bc96e8021d56325804f4e6dde7ea650f70ef4aa45