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Astiva AI AI Search Intelligence Platform Fit Review for Tracking Recommendation Market Share

Astiva AI is a mixed-to-good fit for tracking recommendation market share, depending on how much independent validation the buyer requires.

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

Answer Capsule

Astiva AI is a mixed-to-good fit for tracking recommendation market share, depending on how much independent validation the buyer requires. Two of seven platforms named Astiva AI during the ranking stage, and both placed it first. Its strongest case is breadth at low cost: company materials state every paid plan includes all 10 monitored AI platforms with no add-on fees, plus Share of Voice, citation analysis, and daily monitoring from $29/month [1]. The main limitation is that nearly all evidence is company-owned, and Astiva's own pages conflict on platform counts per tier, trial length, and Pro pricing. Independent validation of recommendation-share accuracy was not found.

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (anthropic, kimi)
Share of included platform responses28.6%
Average listed rank1.0
Best listed rank1
Relevant product/model/planAstiva AI paid plans; Core Platform (all plans include 10 AI platforms)
Overall use-case fitMixed across platforms: strong (google, grok), good (anthropic), mixed (openai, perplexity), uncertain (deepseek, kimi)
Research date2026-09-18

Why Astiva AI Qualified for This Study

Questions This Section Answers

  • Is Astiva AI a good choice for AI Search Intelligence Platforms for Tracking Recommendation Market Share?
  • Why did only two of seven AI platforms name Astiva AI in the ranking stage?

Astiva AI qualified because it is positioned directly in the AI search intelligence category and advertises the specific metrics this use case requires: Share of Voice, visibility percentage, average position, first-mention rate, and citation analysis across a defined prompt set [4]. Two of seven platforms named it during ranking discovery, and both ranked it first, giving it the highest average listed rank in the study despite a low mention count.

That gap matters. Astiva AI was named by fewer platforms than most finalists, so its top rank reflects two strong endorsements rather than broad consensus. The platform's own materials claim coverage of 10 AI platforms — ChatGPT, Claude, Google Gemini, Perplexity, xAI Grok, Meta AI, DeepSeek, Mistral AI, Google AI Mode, and Google AI Overview — on every paid plan [7]. Independent directory coverage exists but is thin: Tracxn lists Astiva AI as founded in 2025 in San Francisco and unfunded [8], and G2, F6S, AlternativeTo, and PriceTrack carry secondary pricing or product listings [9].

The Product, Model, Plan, or Service Most Relevant to AI Search Intelligence Platforms for Tracking Recommendation Market Share

Questions This Section Answers

  • Which Astiva AI plan should a buyer choose to track recommendation share across all 10 AI platforms?
  • Does Astiva AI's Growth plan at $249 per month include GA4 revenue attribution for AI recommendations?

The relevant offering is the Astiva AI Core Platform, sold through Lite, Starter, Growth, Pro, and Enterprise tiers. Company materials state that every paid plan includes all 10 monitored platforms with no add-on fees, and that customers pick which platforms fill their plan quota [13]. Growth ($249/month) is the tier most platforms flagged as the practical entry point for this use case because it adds native GA4 revenue attribution, citation domain authority scoring, and 10 competitors per brand [14].

Platform recommendations diverged on which tier to name. Google pointed to Growth or Pro [17]. Anthropic recommended the Pro plan for multi-brand tracking, citing 7 platforms, 300 prompts, and 50 content pieces per month at a $349/month launch price [18]. OpenAI and Perplexity described the Core Platform generally without committing to a tier [19]. The product's stated workflow runs Detect, Diagnose, Displace, Prove — monitoring, citation-gap analysis, content generation, and GA4 attribution [21].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Astiva AI does well for tracking recommendation market share?
  • Does Astiva AI measure Share of Voice across ChatGPT, Claude, Gemini, and Perplexity on a daily basis?

Agreement was strong on four points, though it rests almost entirely on Astiva's own published material.

First, all platforms that examined the product agreed Astiva AI computes Share of Voice and related visibility metrics. Astiva publishes the formula as brand mentions divided by brand mentions plus competitor mentions, updated daily with 24-hour, 7-day, and 30-day trend windows [23]. An independent review of AI share-of-voice measurement describes the metric generally as the percentage of AI-generated responses that mention, recommend, or cite a brand relative to competitors [26].

Second, platforms agreed on citation and source tracking. Astiva claims automatic citation detection, authority scoring, three-type citation classification (Full Citation, Recommendation, or Mention), and cross-platform citation overlap [27]. Perplexity-specific source URL verification and Claude citation-presence analysis are both described [29].

Third, platforms agreed on daily monitoring cadence. Astiva states it sends queries to 10 AI platforms daily and captures full responses at regular intervals, with initial insights within 24–48 hours and comprehensive trend analysis after 30 days [31].

Fourth, platforms agreed on low entry pricing. Lite is listed at $29/month, Starter at $99, Growth at $249, and Pro at $499, with Enterprise custom [34].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • How many AI platforms does Astiva AI actually include on the Lite, Starter, Growth, and Pro plans?
  • Is Astiva AI's recommendation-share methodology independently verified, or is it only company-reported?

Disagreement centered on platform entitlements per tier. Astiva's homepage and pricing page state that all paid plans include all 10 platforms [37]. Astiva's Terms of Service list lower counts — 3 platforms for Lite and Starter, 5 for Growth, and 7 for Pro [38]. A separate Astiva comparison page repeats the 3/5/7 split [39]. The official pricing excerpt resolves this partially by describing a platform quota that customers fill from the 10-platform pool, but the conflict is not fully reconciled in public materials.

Trial length is also inconsistent. The pricing page states a 7-day free trial on Lite, Starter, and Agency Solo (official:C2), while other Astiva pages state 14 days [40]. Pro pricing conflicts too: most sources list $499/month [41], while one platform reported $349/month as the Pro recurring price [43].

Platform coverage lists differ as well. One Astiva page names 9 platforms including Microsoft Copilot [44], while current marketing names 10 and omits Copilot [45]. Fit ratings split accordingly: Google and Grok rated Astiva a strong fit, Anthropic rated it good, OpenAI and Perplexity rated it mixed, and DeepSeek and Kimi rated it uncertain (openai, perplexity, deepseek, kimi platform responses).

The largest shared uncertainty is verification. No platform located independent validation of Astiva's recommendation-share methodology, sampling, or classification precision (openai, deepseek, kimi platform responses). DeepSeek's research ran without search enabled and is dated 2026-01-15, eight months before the study date, so its findings should be treated as stale.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Can Astiva AI track which citations and source relationships appear alongside AI recommendations?
  • How many competitors and prompts can Astiva AI track on the Pro plan for category-wide share analysis?

Astiva AI's feature set maps closely to the four requirements in this use case, with caveats on each.

Recommendation share measurement. Astiva tracks seven published metrics: Visibility Percentage, Share of Voice, Average Position, Brand Sentiment, First Mention Rate, Mention Frequency, and Sentiment Volatility [46]. Share of Voice uses the published formula brand mentions divided by brand mentions plus competitor mentions [48]. The limitation: public documentation does not clearly define a distinct denominator for the percentage of recommendations awarded to each competitor, and sentiment measures tone rather than recommendation strength (openai, anthropic platform responses).

Change over time. All metrics carry 24-hour, 7-day, and 30-day trends, with prompt history ranging from 30 days on Lite to 365 days on Pro [49]. No predictive or forward-looking share modeling is documented (anthropic platform response).

Platform-by-platform differences. Astiva advertises 1v1 dashboards showing head-to-head comparisons against each competitor on the same prompt set [50]. Differences by platform are viewable but not automatically surfaced as comparative reports (anthropic platform response).

Citation and source relationships. Citation gap analysis, authority scoring from 0–100, three-type citation classification, and citation publisher intelligence are all described [52]. Perplexity citation tracking includes source URL verification [54].

Prompt and competitor capacity. Lite allows 15 prompts and 3 competitors; Starter 25 prompts and 5 competitors; Growth 100 prompts and 10 competitors per brand; Pro 300 prompts and 15 competitors per brand; Enterprise unlimited [55]. Prompts must be manually defined — no auto-discovery of category queries is documented (anthropic platform response).

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Astiva AI cost per month, and are there setup or cancellation fees?
  • What is Astiva AI's refund policy and annual billing discount?

Published pricing runs from a free tier through $499/month Pro, with Enterprise custom-quoted [56]. Launch pricing of 30% off the first three months is active on select plans, bringing Lite to $20, Starter to $69, and Growth to $174 [59].

PlanMonthlyLaunch pricePromptsCompetitorsPlatforms (per official pricing page)
Free$0—10 lifetime1 brand2 (ChatGPT, Perplexity)
Lite$29$201533
Starter$99$692553
Growth$249$17410010 per brand5
Pro$499$34930015 per brand7
EnterpriseCustom—UnlimitedUnlimitedUnlimited

Contract terms are comparatively buyer-friendly on paper. Astiva states no long-term contract is required, monthly plans cancel anytime from account settings, and annual billing carries a 20% discount (official:C2). A 30-day money-back guarantee applies after billing starts, while renewals are non-refundable [60]. Payment is via PayPal, with invoicing available for Enterprise (official:C2).

Three pricing cautions apply. First, no documented platform add-on fees appear on reviewed pages, but Enterprise configuration, SSO, white-labeling, and SLA terms may be bundled into custom pricing (openai platform response). Second, the Pro plan's launch price is inconsistently reported — one platform lists $349/month as recurring rather than promotional [61]. Third, trial length conflicts between 7 and 14 days depending on the page [62].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Astiva AI for tracking AI recommendation share?
  • Is Astiva AI a cost-effective choice for a mid-market team monitoring 3 to 15 competitors?

Astiva AI best suits SMB and mid-market teams that want multi-platform AI visibility monitoring, competitor share-of-voice comparison, and citation analysis in one self-serve product at accessible prices (openai, anthropic platform responses). Buyers with $250–$500/month budgets who value published metric definitions and want GA4 revenue attribution without an enterprise contract fit the Growth tier well [63].

It also suits teams that already maintain a defined prompt library and a clear competitor set of roughly 3–15 brands, since prompts are manually configured and competitor caps scale by tier [64]. Organizations wanting citation tracking with source URL verification alongside recommendation data are a stated fit [65]. Google rated the platform strong for mid-market B2B SaaS, e-commerce, and agencies measuring Share of Voice against competitors (google platform response).

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Astiva AI for tracking recommendation market share?
  • Can Astiva AI handle a category with more than 15 major competitors?

Enterprise buyers requiring independently validated measurement, contractual data-accuracy SLAs, or transparent API specifications are not well served by the public evidence (openai, anthropic platform responses). Astiva states SOC 2 Type II controls are implemented with the audit in progress, and publishes a 99.9% uptime target, but no accuracy or support-response SLA is documented [67].

Organizations needing very large prompt universes or more than 300 tracked prompts should look elsewhere, since no tier offers unlimited prompts below Enterprise (anthropic platform response, official:C1). Buyers tracking 50+ competitor brands simultaneously exceed the Pro plan's 15-competitor cap and would need Enterprise or a different vendor (anthropic platform response). Teams requiring named Fortune 500 customer references as a procurement signal will not find them — Astiva's reference list is not published, and one company claim of 527% year-over-year AI-sourced traffic growth lacks a named customer or methodology (anthropic platform response).

Buyers who need predictive share-of-voice modeling, market-wide (rather than brand-centric) share measurement, or BI-tool integrations such as Tableau or Looker should also treat Astiva as unproven for those needs (anthropic platform response).

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Astiva AI for a buyer who needs independently verified pricing and reviews?
  • Which alternative suits a buyer who needs to track more than 15 competitors at once?

Several alternatives were named with specific criteria. Searchable was cited with verified G2 reviews (4.8/5 from 97 reviews) and transparent pricing from $124.99 to $999/month [68]. Similarweb AI Search Intelligence was cited at $99 standalone with brand visibility, prompt tracking, citation analysis, and sentiment modules [69]. Citare Brand Radar was cited with a free tier through $1,200+/month enterprise options across 5 LLM engines [70].

For buyers needing 50+ competitor tracking, OptimizeGEO Pro was named as supporting up to 50 brands (anthropic platform response). For ChatGPT-only monitoring at lower cost, Profound Starter at $99/month was cited (anthropic platform response). For buyers wanting AI visibility inside an existing SEO suite, Ahrefs Brand Radar was cited as covering 7 platforms [71]. For enterprises requiring multi-year contracts and custom terms, Profound was named as the enterprise-first option (anthropic platform response).

These alternatives are platform-reported and were not independently tested in this study. Buyers should verify current pricing and coverage directly.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Astiva AI before signing a contract?
  • Which exact AI platforms are active on the plan being purchased?

The platforms surfaced a consistent verification list. Buyers should confirm the exact formula behind recommendation share, share of voice, and visibility percentage, including how multiple mentions of one brand in a single response are counted (openai, anthropic platform responses). They should confirm which AI platforms are active on the selected tier and whether all 10 are simultaneously available, given the 3/5/7 versus 10 conflict [72].

Other items to confirm in writing: whether Google AI Overview and Google AI Mode are measured separately; whether full responses, citations, timestamps, and model-version metadata are archived for auditability; API, CSV export, rate-limit, retention, and data-deletion terms; how recommendations are distinguished from mentions and citations; whether GA4 attribution covers citation clicks only or recommendation visibility without a link; the applicable trial length, refund policy, launch discount, and renewal price; and whether custom prompts, additional competitors, SSO, SLA, and white-label reporting carry separate fees (openai, anthropic platform responses).

Final AI Consensus Verdict

Astiva AI is a credible but not fully proven option for tracking recommendation market share. It was named by 2 of 7 platforms in the ranking stage, both at rank 1, and its advertised feature set — Share of Voice, daily multi-platform monitoring, citation classification, and GA4 attribution from $249/month — maps directly to this use case [73]. Fit ratings ranged from strong (google, grok) to uncertain (deepseek, kimi), reflecting how much weight each platform placed on independent verification.

The decisive caveats are documentation conflicts and evidence quality. Astiva's own pages disagree on platform counts per tier, trial length, and Pro pricing, and no platform located independent validation of recommendation-share accuracy [76]. Buyers with clear prompt universes, 3–15 competitors, and $250–$500/month budgets should run the trial and get written confirmation of entitlements before committing. Enterprise buyers needing validated methodology, accuracy SLAs, or named references should evaluate alternatives or request Astiva Enterprise terms first.

How This Review Was Produced

This review synthesizes fit-research responses from seven AI platforms — OpenAI, Anthropic, Google, Grok, DeepSeek, Perplexity, and Kimi — each asked to recommend AI Search Intelligence Platforms for Tracking Recommendation Market Share. The study date is 2026-09-18. Two of seven platforms named Astiva AI during ranking discovery; all seven evaluated its fit. Platform-reported research dates vary: DeepSeek's response is dated 2026-01-15 and ran without search enabled, while the remaining six are dated 2026-09-18. Citations are platform-reported evidence, not independently verified facts. The consensus index for this category is available at AI Search Intelligence Platforms for Tracking Recommendation Market Share, and the broader directory is at ai search audits market intelligence.

Methodology Limitations

Company-owned citations materially outnumber independent citations in this study — 20 owned versus 8 independent sources. Astiva's capability claims therefore rest largely on vendor self-description and should not be described as independently verified. No platform located third-party validation of recommendation-share methodology, sampling, reproducibility, or classification precision.

Platform-reported research dates differ from the authoritative run date; DeepSeek's findings are eight months older and were produced without search. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Public Astiva materials conflict on platform entitlements per tier, trial length, Pro pricing, and content-generation quotas; this review preserves those conflicts rather than resolving them. Missing research was not treated as disagreement.

Explore more ai search audits market intelligence guidance in the category directory.

Sources

Company-Owned Sources

  • AI Search Intelligence: Tools for AI Search Optimization | Similarweb: https://aisearch.similarweb.com/
  • Competitive Intelligence for AI Search and Visibility | Astiva AI: https://astiva.ai/
  • About Astiva AI: Competitive Intelligence for AI Search and Visibility | Satish K: https://astiva.ai/about
  • About Astiva AI: Competitive Intelligence for AI Search and Visibility: https://astiva.ai/aboutus
  • AI Brand Monitoring: Track Your Brand Across AI Platforms | Astiva AI: https://astiva.ai/ai-brand-monitoring
  • AI Search Visibility & Competitive Intelligence Platform | Astiva AI: https://astiva.ai/ai-brand-monitoring-pricing
  • Astiva AI vs Ahrefs Brand Radar (2026 Comparison: https://astiva.ai/astiva-vs-ahrefs-brand-radar
  • Astiva AI vs Otterly.ai: Complete Comparison for 2026: https://astiva.ai/astiva-vs-otterly
  • Astiva AI vs Profound: Side-by-Side Comparison 2026: https://astiva.ai/astiva-vs-profound
  • Best AI Brand Monitoring Tools 2026: Buyer's Guide by Use Case: https://astiva.ai/best-ai-brand-monitoring-tools
  • How to Optimize Content for AI Citations: 2026 LLM Guide | Astiva AI: https://astiva.ai/blog/optimize-content-ai-citations-llm
  • Best Profound Alternatives in 2026: Top 8 AI Visibility Tools Compared: https://astiva.ai/blog/profound-alternatives
  • AI Brand Monitoring Comparisons 2026: https://astiva.ai/comparisons
  • Competitive Intelligence & Tracking for AI Search - Astiva AI: https://astiva.ai/features/competitive-intelligence
  • Competitive Intelligence for AI Search and Visibility - Astiva AI: https://astiva.ai/integrations
  • Pricing - AI Search Visibility Plans | Astiva AI: https://astiva.ai/pricing
  • Astiva AI Product: Detect, Diagnose, Displace, Prove AI Visibility: https://astiva.ai/product
  • Terms of Service | Astiva AI: Subscription, License, Acceptable Use: https://astiva.ai/terms
  • Brand Radar — AI search visibility monitoring across 5 platforms | Citare: https://www.citare.ai/brand-radar
  • Are AI Platforms Recommending Your Brand or Your Competitors? | Astiva AI: https://www.youtube.com/watch?v=FTCv8urRjtc
  • Additional AI research evidence77 records
    1. AI research evidence record openai:c_home
    2. AI research evidence record anthropic:11-2
    3. AI research evidence record grok:web:0
    4. AI research evidence record openai:c_home
    5. AI research evidence record anthropic:31-1
    6. AI research evidence record grok:web:0
    7. AI research evidence record anthropic:23-1
    8. AI research evidence record anthropic:9-1
    9. AI research evidence record perplexity:c4
    10. AI research evidence record perplexity:c8
    11. AI research evidence record perplexity:c9
    12. AI research evidence record perplexity:c14
    13. AI research evidence record anthropic:11-2
    14. AI research evidence record perplexity:c11
    15. AI research evidence record perplexity:c12
    16. AI research evidence record google:1.2.3
    17. AI research evidence record google:1.2.8
    18. AI research evidence record anthropic:2-10
    19. AI research evidence record openai:c_home
    20. AI research evidence record perplexity:c3
    21. AI research evidence record openai:c_product
    22. AI research evidence record perplexity:c6
    23. AI research evidence record anthropic:32-1
    24. AI research evidence record anthropic:32-8
    25. AI research evidence record anthropic:31-15
    26. AI research evidence record anthropic:29-1
    27. AI research evidence record openai:c_home
    28. AI research evidence record openai:c_product
    29. AI research evidence record anthropic:11-9
    30. AI research evidence record anthropic:11-7
    31. AI research evidence record anthropic:15-7
    32. AI research evidence record anthropic:12-4
    33. AI research evidence record anthropic:12-6
    34. AI research evidence record openai:c_pricing
    35. AI research evidence record grok:web:5
    36. AI research evidence record perplexity:c1
    37. AI research evidence record anthropic:11-2
    38. AI research evidence record openai:c_terms
    39. AI research evidence record google:2.1.7
    40. AI research evidence record anthropic:4-7
    41. AI research evidence record grok:web:5
    42. AI research evidence record perplexity:c1
    43. AI research evidence record anthropic:2-10
    44. AI research evidence record anthropic:12-7
    45. AI research evidence record anthropic:23-1
    46. AI research evidence record anthropic:31-1
    47. AI research evidence record google:1.2.8
    48. AI research evidence record anthropic:32-1
    49. AI research evidence record anthropic:31-15
    50. AI research evidence record anthropic:35-1
    51. AI research evidence record anthropic:32-10
    52. AI research evidence record google:1.3.1
    53. AI research evidence record openai:c_product
    54. AI research evidence record anthropic:11-9
    55. AI research evidence record anthropic:31-13
    56. AI research evidence record openai:c_pricing
    57. AI research evidence record grok:web:5
    58. AI research evidence record perplexity:c1
    59. AI research evidence record anthropic:4-9
    60. AI research evidence record openai:c_terms
    61. AI research evidence record anthropic:2-10
    62. AI research evidence record anthropic:4-7
    63. AI research evidence record perplexity:c11
    64. AI research evidence record anthropic:31-13
    65. AI research evidence record anthropic:11-9
    66. AI research evidence record grok:web:0
    67. AI research evidence record anthropic:20-9
    68. AI research evidence record kimi:searchable_review
    69. AI research evidence record kimi:similarweb_ai
    70. AI research evidence record kimi:citare_brand
    71. AI research evidence record anthropic:5-1
    72. AI research evidence record openai:c_terms
    73. AI research evidence record openai:c_home
    74. AI research evidence record anthropic:31-1
    75. AI research evidence record perplexity:c11
    76. AI research evidence record openai:c_terms
    77. AI research evidence record anthropic:4-7

Independent Sources

  • How to Measure AI Share of Voice (+ 3 Tools) - Alex Birkett: https://alexbirkett.com/ai-share-of-voice/
  • Astiva AI: The Competitive Intelligence platform for AI ... - AlternativeTo: https://alternativeto.net/software/astiva-ai/about/
  • Astiva AI - 2026 Company Profile, Team & Competitors - Tracxn: https://tracxn.com/d/companies/astivaai/__Z1UvjcSz8Ji5dWRFNGpbAR7dSF18gnElAZdF1YfikEo
  • Astiva AI Reviews and Pricing 2026 - F6S: https://www.f6s.com/software/astiva-ai
  • Additional AI research evidence77 records
    1. AI research evidence record openai:c_home
    2. AI research evidence record anthropic:11-2
    3. AI research evidence record grok:web:0
    4. AI research evidence record openai:c_home
    5. AI research evidence record anthropic:31-1
    6. AI research evidence record grok:web:0
    7. AI research evidence record anthropic:23-1
    8. AI research evidence record anthropic:9-1
    9. AI research evidence record perplexity:c4
    10. AI research evidence record perplexity:c8
    11. AI research evidence record perplexity:c9
    12. AI research evidence record perplexity:c14
    13. AI research evidence record anthropic:11-2
    14. AI research evidence record perplexity:c11
    15. AI research evidence record perplexity:c12
    16. AI research evidence record google:1.2.3
    17. AI research evidence record google:1.2.8
    18. AI research evidence record anthropic:2-10
    19. AI research evidence record openai:c_home
    20. AI research evidence record perplexity:c3
    21. AI research evidence record openai:c_product
    22. AI research evidence record perplexity:c6
    23. AI research evidence record anthropic:32-1
    24. AI research evidence record anthropic:32-8
    25. AI research evidence record anthropic:31-15
    26. AI research evidence record anthropic:29-1
    27. AI research evidence record openai:c_home
    28. AI research evidence record openai:c_product
    29. AI research evidence record anthropic:11-9
    30. AI research evidence record anthropic:11-7
    31. AI research evidence record anthropic:15-7
    32. AI research evidence record anthropic:12-4
    33. AI research evidence record anthropic:12-6
    34. AI research evidence record openai:c_pricing
    35. AI research evidence record grok:web:5
    36. AI research evidence record perplexity:c1
    37. AI research evidence record anthropic:11-2
    38. AI research evidence record openai:c_terms
    39. AI research evidence record google:2.1.7
    40. AI research evidence record anthropic:4-7
    41. AI research evidence record grok:web:5
    42. AI research evidence record perplexity:c1
    43. AI research evidence record anthropic:2-10
    44. AI research evidence record anthropic:12-7
    45. AI research evidence record anthropic:23-1
    46. AI research evidence record anthropic:31-1
    47. AI research evidence record google:1.2.8
    48. AI research evidence record anthropic:32-1
    49. AI research evidence record anthropic:31-15
    50. AI research evidence record anthropic:35-1
    51. AI research evidence record anthropic:32-10
    52. AI research evidence record google:1.3.1
    53. AI research evidence record openai:c_product
    54. AI research evidence record anthropic:11-9
    55. AI research evidence record anthropic:31-13
    56. AI research evidence record openai:c_pricing
    57. AI research evidence record grok:web:5
    58. AI research evidence record perplexity:c1
    59. AI research evidence record anthropic:4-9
    60. AI research evidence record openai:c_terms
    61. AI research evidence record anthropic:2-10
    62. AI research evidence record anthropic:4-7
    63. AI research evidence record perplexity:c11
    64. AI research evidence record anthropic:31-13
    65. AI research evidence record anthropic:11-9
    66. AI research evidence record grok:web:0
    67. AI research evidence record anthropic:20-9
    68. AI research evidence record kimi:searchable_review
    69. AI research evidence record kimi:similarweb_ai
    70. AI research evidence record kimi:citare_brand
    71. AI research evidence record anthropic:5-1
    72. AI research evidence record openai:c_terms
    73. AI research evidence record openai:c_home
    74. AI research evidence record anthropic:31-1
    75. AI research evidence record perplexity:c11
    76. AI research evidence record openai:c_terms
    77. AI research evidence record anthropic:4-7

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
28
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#6

Research trail and source mix

Configured platforms

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

Source mix

8 independent · 20 company-owned

Evidence support

22 direct · 5 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 1a0339a69ae47a14fe6d8c971b42c65eef8d3089a88395d31910fd9981d66030