Answer Capsule
OtterlyAI is a good fit for companies that need operational monitoring of which brands and sources appear in AI answers, how competitors perform, and how citation patterns change over time. Five of seven platforms named OtterlyAI during the ranking stage, with an average listed rank of 3.8 and a best rank of 2. Its strongest advantage is prompt-based tracking of brand mentions, citation share, cited URLs, and competitor share of voice across major AI answer engines, backed by a page-level GEO Audit. The main limitation is that it is not a complete market-intelligence platform: it lacks independently validated market-wide recommendation data, demand sizing, and attribution, and three engines (Claude, Gemini, Google AI Mode) require paid add-ons.
Research Snapshot
| Field | Detail |
|---|---|
| Platform mentions in ranking stage | 5 of 7 platforms (anthropic, google, grok, openai, perplexity) |
| Share of included platform responses | 71.4% |
| Average listed rank | 3.8 |
| Best listed rank | 2 |
| Relevant product/model/plan | OtterlyAI paid AI Search Analytics plans, especially Standard ($189/mo) or Premium ($489/mo); Enterprise for custom requirements |
| Overall use-case fit | Good |
| Research date | 2026-09-18 |
Why OtterlyAI Qualified for This Study
Questions This Section Answers
- Is OtterlyAI a good choice for AI Market Intelligence Platforms?
- How many AI platforms recommended OtterlyAI for AI Market Intelligence Platforms?
OtterlyAI qualified because five of the seven included platforms named it during ranking discovery, and it directly addresses the study's core criteria: which companies AI systems recommend, recommendation and citation share, competitor performance, influential sources, citation architecture, platform differences, and historical change tracking [1].
The five platforms that named it were anthropic, google, grok, openai, and perplexity. Its listed ranks ranged from 2 (perplexity) to 6 (google), producing an average listed rank of 3.8. Deepseek did not name OtterlyAI at all, reporting that none of its supplied sources mentioned the entity [4], and kimi rated the fit uncertain because it could not verify pricing or plan names from public sources [5].
Qualification here reflects platform agreement about relevance to the buyer question, not verified product quality. Agreement among AI platforms is not evidence that the product performs as described.
The Product, Model, Plan, or Service Most Relevant to AI Market Intelligence Platforms
Questions This Section Answers
- Which OtterlyAI plan should a buyer choose for AI Market Intelligence Platforms if they need competitor and citation tracking?
- Is OtterlyAI Standard or Premium the better value for an agency tracking multiple brands?
The most relevant offering is OtterlyAI's paid AI Search Analytics plans, with Standard ($189/month, 100 prompts) as the practical default for a single company and Premium ($489/month, 400 prompts) for agencies or multi-brand teams [6]. Enterprise, starting from $1,000/month, adds SSO, custom prompt tracking, a quarterly GEO health check, and a dedicated CSM [9].
OtterlyAI is an AI search monitoring and optimization platform that tracks brand visibility, citations, and mentions across multiple AI-powered search engines and large language models [10]. It runs configured prompts across ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Copilot, and Claude, stores the answers, and scores what happened [11].
The platform's four-step workflow is prompt research, daily monitoring, content auditing through GEO Audit, and GEO optimization recommendations [13]. Standard and Premium add API access, MCP access, Looker Studio connectivity, and agent-analytics allowances; Lite includes reports and exports but does not list API, MCP, or agent analytics as included features [6].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree OtterlyAI does well for AI Market Intelligence Platforms?
- Does OtterlyAI track citation share and competitor performance across AI engines?
Platforms broadly agreed on three capabilities. First, brand and competitor visibility tracking: OtterlyAI reports brand mentions, ranking or prominence, coverage, sentiment, and share of voice, and compares them against defined competitors [14]. Second, citation tracking: the platform records every cited URL, whether pages are cited positively, neutrally, or negatively, which domains are referenced, and how citation patterns trend [17]. Third, GEO auditing: the GEO Audit evaluates on-page factors that affect citation likelihood and returns page-level recommendations [20].
Multiple platforms also converged on the entry price. Lite at $29/month was consistently reported, with Standard at $189/month and Premium at $489/month [22]. One independent review described OtterlyAI at $29/month as the cheapest dedicated AI visibility tool [28].
Independent sources added context that company materials do not: company-reported users grew from 1,000 at launch to more than 40,000 by August 2026, and Gartner named Otterly.ai a Cool Vendor in its 2025 Cool Vendors for AI in Marketing report [29]. G2 reviewers broadly rate OtterlyAI positively, averaging around 4.5/5 with recurring praise for intuitive UI and responsive support [31].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why did some AI platforms rate OtterlyAI uncertain for AI Market Intelligence Platforms?
- Does OtterlyAI cover all major AI engines without paid add-ons?
Fit ratings diverged. Grok rated the fit strong [32]. Openai, anthropic, google, and perplexity rated it good [33]. Deepseek and kimi rated it uncertain, with deepseek reporting that none of its seven supplied market-intelligence sources mentioned OtterlyAI at all [37].
Engine coverage produced the sharpest factual conflict. OtterlyAI's homepage refers to coverage across six AI platforms, while current feature and pricing materials describe seven available engines and four included base engines [39]. Base plans include ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot; Claude, Google AI Mode, and Gemini are paid add-ons [41]. Claude is the most expensive add-on, reported at $29/$109/$439 per month on Lite/Standard/Premium [44].
Other unresolved points: whether prompt outputs are sampled, replicated, or normalized across engines; how far back historical data is retained while subscribed; and whether recommendation-share metrics are independently benchmarked [39]. One source states Lite includes 1,000 GEO URL audits, while another states Lite lacks GEO Audit access entirely [46]. Buyers should confirm this directly.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does OtterlyAI show which companies AI systems recommend, not just your own brand?
- Can OtterlyAI track historical changes in AI citation share over time?
OtterlyAI maps the recommendation landscape through configured prompts rather than a census of all AI answers. Prompt detail analysis lists brands mentioned in AI answers, ranks them by frequency and prominence, and supports comparison of visibility, sentiment, citations, and trends against defined competitors [48]. The Brand Report shows coverage percentage over time, mention counts, and average position in answers [50].
Citation architecture is a documented strength. The platform reports domain citation counts, competitor comparisons, domain coverage over time, and whether cited URLs mention the tracked brand [51]. Citation reporting includes winners and losers, bookmarkable URLs, citation details, and citation trends [53]. One independent review describes citation tracking as more granular than most competitors, with sentence-level context for why mentions occurred [54].
Historical tracking runs on daily prompt monitoring with coverage, share-of-voice, domain-coverage, and citation-over-time views [55]. Historical completeness, retention duration, and comparability across changing engine behavior are not publicly specified in the reviewed materials [57].
Influential-source analysis identifies which domains and publications AI engines cite most. OtterlyAI's own research tracked over 8,000 Reddit citations across 126 subreddits and reported that Reddit is the most cited source in AI Search [58]. That finding is company-owned research, not independently validated. Recommendations cover crawlability, entities, content partnerships, Reddit, media, YouTube, social media, and on-page content, and require at least 15 prompts, 3 competitors, and 3 days of data; Lite is limited to 3 recommendations per seven-day cycle [60].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does OtterlyAI cost per month, and what do Claude, Gemini, and Google AI Mode add-ons add?
- What are OtterlyAI's cancellation and data-deletion terms?
Published self-serve pricing is Lite at $29/month (15 prompts), Standard at $189/month (100 prompts), and Premium at $489/month (400 prompts), with annual billing shown at roughly 15% lower: about $25, $161, and $422 per month [62]. Enterprise starts from $1,000/month and is custom-quoted [66]. Prices are in U.S. dollars excluding tax [62].
Add-ons materially change total cost. Google AI Mode and Gemini are listed at $9/$59/$149 per month on Lite/Standard/Premium, and Claude at $29/$109/$439 per month [67]. Extra prompt packs cost $99/month per 100 prompts on Standard and Premium, with an annual add-on listed at $1,020 [62]. A worked example from one independent review: Standard at $189 plus Claude at $109 plus Gemini at $59 equals $357/month [71].
Contract terms: subscriptions renew automatically for an identical period; monthly subscriptions can be terminated monthly, and annual subscriptions can be terminated before the renewal period [72]. The help center states cancellation can be completed in account settings, access continues through the current billing period, and tracked engines and historical data are deleted after cancellation [73]. The terms state customer data is downloadable for 30 days after termination before deletion [72]. These two statements differ in emphasis, and buyers should confirm which applies to their data.
Best Suited For
Questions This Section Answers
- Who gets the most value from OtterlyAI for AI Market Intelligence Platforms?
- Is OtterlyAI a good fit for agencies tracking multiple client brands in AI search?
OtterlyAI fits marketing and SEO teams monitoring brand and competitor visibility across AI answer engines, companies analyzing which domains and URLs influence AI answers, and agencies or multi-brand teams needing prompt tracking, reports, API/MCP access, and scalable prompt volumes [74].
It is also a reasonable fit for teams validating AI search as a channel, given the $29/month entry point and a free trial [77]. Higher tiers support unlimited workspaces and team members, which suits agency-client setups [76]. Teams prioritizing GEO audits with page-level recommendations are a documented fit; one independent review argues the GEO Audit is what makes Otterly worth the price for teams that have already decided AI search matters [80].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose OtterlyAI for AI Market Intelligence Platforms?
- Is OtterlyAI suitable for enterprises that need all seven AI engines in the base plan?
Buyers requiring independently audited market-wide recommendation data, consumer-panel data, demand forecasting, conversion attribution, or comprehensive market sizing should look elsewhere [81]. No independent source was found validating OtterlyAI's market-wide recommendation-share accuracy or customer-reported business outcomes [83].
Teams that need all seven engines without per-engine add-ons will find base plans include only four [84]. Organizations requiring guaranteed historical continuity after cancellation should note that tracked engine and historical data are deleted after cancellation per the help center [86]. Buyers needing content creation, publishing, or community management alongside monitoring will not find it here; OtterlyAI audits and recommends but does not execute [82]. Enterprises requiring SOC-2 certification or out-of-box SSO should verify availability, which is advertised only on the Enterprise tier [88].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to OtterlyAI if the buyer needs all AI engines included without add-ons?
- When is a research-first or SEO-suite platform a better choice than OtterlyAI?
Choose a platform with independent benchmark validation or panel-based demand data when representativeness and market sizing matter more than prompt-level monitoring [89]. Choose a vendor with broader native engine coverage when paying separate add-ons for Claude, Gemini, or Google AI Mode is undesirable; Trakkr is reported to track 8 AI models on every paid plan without per-engine add-ons [90].
Choose a research-first analytics platform when deeper competitive research, query analysis, and market intelligence outrank operational monitoring; Profound is positioned that way in the supplied evidence [91]. Choose a consolidated AI visibility plus SEO suite when one subscription must cover both; Semrush is reported as a consolidation option starting at $139/month [91]. Choose a platform with stronger archival, data-export, or data-retention guarantees when long-term historical continuity is essential [89]. Choose a broader enterprise intelligence or SEO suite when the buyer needs attribution, traffic, conversion, consumer research, or forecasting in addition to AI-answer visibility [89].
Questions to Verify Before Buying
Which AI engines, countries, languages, locations, and device contexts are included in the selected plan and add-ons [92]?
Are prompts executed once daily, multiple times, or through a sampling methodology, and how are volatile answers normalized [92]?
What exact historical-data retention period applies during an active subscription [92]?
Can all raw responses, cited URLs, timestamps, prompt metadata, and competitor data be exported before cancellation [92]?
What is the exact deletion timeline after cancellation, and does the 30-day export window apply to all historical data [93]?
Are recommendation share, rank, sentiment, and citation metrics audited or independently benchmarked [92]?
What limits apply to API, MCP, Looker Studio, exports, workspaces, brands, users, and agency accounts [95]?
Does the Lite plan include GEO Audit access, given conflicting reports [96]?
What constitutes a tracked prompt, and how are failed, unavailable, or materially changed engine responses handled [98]?
What annual commitment, renewal notice, refund, and upgrade or downgrade rules apply to the selected billing cycle [93]?
Final AI Consensus Verdict
OtterlyAI earns a good fit rating for AI Market Intelligence Platforms, supported by five of seven platforms naming it and an average listed rank of 3.8. It delivers on the study's core criteria at the prompt level: which brands AI systems recommend, recommendation and citation share, competitor performance, cited domains, and citation trends over time [99].
Treat it as a prompt-based AI-search monitoring and GEO intelligence platform, not as independently validated market-wide demand intelligence. Standard is the most relevant default for an SME; Premium suits agencies or multi-brand teams; Enterprise should be evaluated when custom prompt tracking, SSO, custom terms, or dedicated support are required [102].
The two platforms that rated it uncertain did so for evidence reasons, not capability reasons: deepseek found no mention of OtterlyAI in its sources, and kimi could not verify pricing or plan names publicly [104]. Buyers should resolve the engine-count, add-on cost, GEO Audit tier, and data-deletion questions before committing. For a broader view of how this platform compares with others evaluated for the same buyer need, see the AI Market Intelligence Platforms consensus index.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms, each asked to recommend AI market intelligence platforms for a company that wants to understand the AI recommendation landscape in its industry. Five platforms named OtterlyAI during ranking discovery; all seven evaluated its fit. The research date is 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness.
Platform mentions count only platforms that named the entity during ranking discovery. All included platforms evaluated fit. Conflicting product names, pricing, and capabilities were described rather than resolved. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Company-owned citations materially outnumber independent citations in the supplied evidence, so company claims are not described as independently verified. Citations are platform-reported evidence, not independently verified facts.
Methodology Limitations
Results depend on the buyer's selected prompts, competitors, engines, geography, and tracking configuration [106]. Several important engines are paid add-ons rather than included in base plans [107]. No independently verified accuracy or market-representativeness evidence was found [108]. Public materials do not clearly specify historical-data retention duration while subscribed [108]. Cancellation can result in deletion of tracked engine data and historical data [109]. The product measures observed generated answers and citations; it does not establish that recommendations reflect actual purchase demand or market share [106]. One independent review found no consistent correlation between increased AI brand mentions and actual traffic or conversions, while acknowledging this as an industry-wide issue [110]. Deepseek's evaluation was based on sources that did not mention OtterlyAI, so its uncertain rating reflects missing evidence rather than a negative finding [111].
Explore more ai search audits market intelligence guidance in the category directory.
Sources
Company-Owned Sources
- Feynn — Decision-grade, because evidence-grade: https://feynn.ai/
- How do Recommendations work in OtterlyAI?: https://help.otterly.ai/ai-recommendations
- I want to cancel a subscription - how does that work?: https://help.otterly.ai/cancel-subscription
- Where does my content rank in AI searches?: https://help.otterly.ai/my-content-rank-in-ai-searches
- What are the plans and the pricing of OtterlyAI?: https://help.otterly.ai/pricing-of-otterlyai
- What insights can I get from a prompt detail analysis?: https://help.otterly.ai/prompt-detail-analysis
- Where do I find the terms and conditions of OtterlyAI?: https://help.otterly.ai/terms
- MarketGeist – Your AI Growth & Strategy Agent: https://marketgeist.com/
- AI Search Monitoring Tool: Track ChatGPT, Perplexity & Google AIO: https://otterly.ai/
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- AI Search Citations: How to Track, Compare & Win Them: https://otterly.ai/blog/ai-search-citations-tracking-update/
- OtterlyAI Terms and Conditions: https://otterly.ai/dl/Terms-OtterlyAI-2025-08.pdf
- Generative Engine Optimization Features | OtterlyAI Platform: https://otterly.ai/features
- AI Search Analytics: Track Mentions & Citations: https://otterly.ai/features/ai-search-analytics
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- MarketLens — AI Market Intelligence Platform | Niotex: https://www.niotex.com/products/marketlens
- Official pricing and terms source: https://otterly.ai/terms
Additional AI research evidence111 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:12-1
- AI research evidence record grok:web:0
- AI research evidence record deepseek:c1
- AI research evidence record kimi:intelcue-market-intel-2024
- AI research evidence record openai:c9
- AI research evidence record anthropic:2-2
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:9-2
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:12-7
- AI research evidence record openai:c1
- AI research evidence record anthropic:7-4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:12-9
- AI research evidence record anthropic:14-1
- AI research evidence record openai:c5
- AI research evidence record anthropic:17-5
- AI research evidence record anthropic:25-1
- AI research evidence record openai:c9
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-2
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c3
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:10-2
- AI research evidence record anthropic:3-3
- AI research evidence record anthropic:3-4
- AI research evidence record anthropic:29-5
- AI research evidence record grok:web:0
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.1.3
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:intelcue-market-intel-2024
- AI research evidence record openai:c11
- AI research evidence record openai:c9
- AI research evidence record anthropic:17-1
- AI research evidence record anthropic:22-5
- AI research evidence record google:1.4.3
- AI research evidence record anthropic:30-3
- AI research evidence record anthropic:35-11
- AI research evidence record anthropic:8-1
- AI research evidence record anthropic:17-5
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:12-1
- AI research evidence record openai:c4
- AI research evidence record anthropic:12-9
- AI research evidence record openai:c5
- AI research evidence record anthropic:14-1
- AI research evidence record openai:c6
- AI research evidence record anthropic:7-4
- AI research evidence record openai:c11
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:11-2
- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record openai:c9
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-2
- AI research evidence record grok:web:1
- AI research evidence record anthropic:9-2
- AI research evidence record anthropic:22-5
- AI research evidence record anthropic:30-3
- AI research evidence record google:1.4.3
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:35-11
- AI research evidence record openai:c12
- AI research evidence record openai:c13
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.1.3
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:10-2
- AI research evidence record anthropic:8-1
- AI research evidence record anthropic:26-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c11
- AI research evidence record anthropic:17-1
- AI research evidence record anthropic:22-5
- AI research evidence record openai:c13
- AI research evidence record anthropic:26-5
- AI research evidence record anthropic:9-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-2
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c11
- AI research evidence record openai:c12
- AI research evidence record openai:c13
- AI research evidence record openai:c9
- AI research evidence record anthropic:8-1
- AI research evidence record anthropic:17-5
- AI research evidence record google:1.4.7
- AI research evidence record openai:c1
- AI research evidence record anthropic:12-1
- AI research evidence record grok:web:0
- AI research evidence record openai:c9
- AI research evidence record anthropic:9-2
- AI research evidence record deepseek:c1
- AI research evidence record kimi:intelcue-market-intel-2024
- AI research evidence record openai:c1
- AI research evidence record anthropic:22-5
- AI research evidence record openai:c11
- AI research evidence record openai:c13
- AI research evidence record anthropic:1-1
- AI research evidence record deepseek:c1
Independent Sources
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- Otterly Review 2026: Pricing, Add-Ons & Alternatives | Trakkr: https://trakkr.ai/reviews/otterly-review
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- Otterly.ai Review 2026: Features, Pricing, and Who It's Really Built For | Am I Cited: https://www.amicited.com/reviews/otterly-ai-review/
- Otterly AI Review: Pricing, Features, and Honest Verdict (2026) | Fokal Guides: https://www.fokal.com/tools/otterly-ai-review/
- OtterlyAI Pricing 2026: https://www.g2.com/products/otterlyai/pricing
- Otterly.AI 2026 Pricing, Features, Reviews & Alternatives | GetApp: https://www.getapp.com/all-software/a/otterly-ai/
- Award-Winning AI Search Monitoring Platform Otterly.AI Launches Generative Engine Optimization (GEO) Audit Tool to Maximize AI Chatbot Visibility: https://www.globenewswire.com/news-release/2025/09/16/2946971/0/en/Award-Winning-AI-Search-Monitoring-Platform-Otterly-AI-Launches-Generative-Engine-Optimization-GEO-Audit-Tool-to-Maximize-AI-Chatbot-Visibility.html
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- Otterly.ai Review: AI Search Visibility Monitoring (2026: https://www.stackmatix.com/blog/otterly-ai-review
- Best AI Citation Tracking Tools for AI Visibility (2026: https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-citation-tracking
- Otterly AI Review 2026: Tracking Your First 100 Prompts: https://www.tryanalyze.ai/blog/otterly-ai-review
- Otterly AI Pricing: Features, Reviews and Alternative | ZeroRank: https://zerorank.ai/blog/otterly-ai-pricing
Additional AI research evidence111 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:12-1
- AI research evidence record grok:web:0
- AI research evidence record deepseek:c1
- AI research evidence record kimi:intelcue-market-intel-2024
- AI research evidence record openai:c9
- AI research evidence record anthropic:2-2
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:9-2
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:12-7
- AI research evidence record openai:c1
- AI research evidence record anthropic:7-4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:12-9
- AI research evidence record anthropic:14-1
- AI research evidence record openai:c5
- AI research evidence record anthropic:17-5
- AI research evidence record anthropic:25-1
- AI research evidence record openai:c9
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-2
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c3
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:10-2
- AI research evidence record anthropic:3-3
- AI research evidence record anthropic:3-4
- AI research evidence record anthropic:29-5
- AI research evidence record grok:web:0
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.1.3
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:intelcue-market-intel-2024
- AI research evidence record openai:c11
- AI research evidence record openai:c9
- AI research evidence record anthropic:17-1
- AI research evidence record anthropic:22-5
- AI research evidence record google:1.4.3
- AI research evidence record anthropic:30-3
- AI research evidence record anthropic:35-11
- AI research evidence record anthropic:8-1
- AI research evidence record anthropic:17-5
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:12-1
- AI research evidence record openai:c4
- AI research evidence record anthropic:12-9
- AI research evidence record openai:c5
- AI research evidence record anthropic:14-1
- AI research evidence record openai:c6
- AI research evidence record anthropic:7-4
- AI research evidence record openai:c11
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:11-2
- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record openai:c9
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-2
- AI research evidence record grok:web:1
- AI research evidence record anthropic:9-2
- AI research evidence record anthropic:22-5
- AI research evidence record anthropic:30-3
- AI research evidence record google:1.4.3
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:35-11
- AI research evidence record openai:c12
- AI research evidence record openai:c13
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.1.3
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:10-2
- AI research evidence record anthropic:8-1
- AI research evidence record anthropic:26-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c11
- AI research evidence record anthropic:17-1
- AI research evidence record anthropic:22-5
- AI research evidence record openai:c13
- AI research evidence record anthropic:26-5
- AI research evidence record anthropic:9-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-2
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c11
- AI research evidence record openai:c12
- AI research evidence record openai:c13
- AI research evidence record openai:c9
- AI research evidence record anthropic:8-1
- AI research evidence record anthropic:17-5
- AI research evidence record google:1.4.7
- AI research evidence record openai:c1
- AI research evidence record anthropic:12-1
- AI research evidence record grok:web:0
- AI research evidence record openai:c9
- AI research evidence record anthropic:9-2
- AI research evidence record deepseek:c1
- AI research evidence record kimi:intelcue-market-intel-2024
- AI research evidence record openai:c1
- AI research evidence record anthropic:22-5
- AI research evidence record openai:c11
- AI research evidence record openai:c13
- AI research evidence record anthropic:1-1
- AI research evidence record deepseek:c1
Other Sources
- All provided search results: https://www.marketrecon.io/
Additional AI research evidence111 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:12-1
- AI research evidence record grok:web:0
- AI research evidence record deepseek:c1
- AI research evidence record kimi:intelcue-market-intel-2024
- AI research evidence record openai:c9
- AI research evidence record anthropic:2-2
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:9-2
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:12-7
- AI research evidence record openai:c1
- AI research evidence record anthropic:7-4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:12-9
- AI research evidence record anthropic:14-1
- AI research evidence record openai:c5
- AI research evidence record anthropic:17-5
- AI research evidence record anthropic:25-1
- AI research evidence record openai:c9
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-2
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c3
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:10-2
- AI research evidence record anthropic:3-3
- AI research evidence record anthropic:3-4
- AI research evidence record anthropic:29-5
- AI research evidence record grok:web:0
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.1.3
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:intelcue-market-intel-2024
- AI research evidence record openai:c11
- AI research evidence record openai:c9
- AI research evidence record anthropic:17-1
- AI research evidence record anthropic:22-5
- AI research evidence record google:1.4.3
- AI research evidence record anthropic:30-3
- AI research evidence record anthropic:35-11
- AI research evidence record anthropic:8-1
- AI research evidence record anthropic:17-5
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:12-1
- AI research evidence record openai:c4
- AI research evidence record anthropic:12-9
- AI research evidence record openai:c5
- AI research evidence record anthropic:14-1
- AI research evidence record openai:c6
- AI research evidence record anthropic:7-4
- AI research evidence record openai:c11
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:11-2
- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record openai:c9
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-2
- AI research evidence record grok:web:1
- AI research evidence record anthropic:9-2
- AI research evidence record anthropic:22-5
- AI research evidence record anthropic:30-3
- AI research evidence record google:1.4.3
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:35-11
- AI research evidence record openai:c12
- AI research evidence record openai:c13
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record google:1.1.3
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:10-2
- AI research evidence record anthropic:8-1
- AI research evidence record anthropic:26-5
- AI research evidence record openai:c1
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c11
- AI research evidence record anthropic:17-1
- AI research evidence record anthropic:22-5
- AI research evidence record openai:c13
- AI research evidence record anthropic:26-5
- AI research evidence record anthropic:9-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-2
- AI research evidence record anthropic:1-1
- AI research evidence record openai:c11
- AI research evidence record openai:c12
- AI research evidence record openai:c13
- AI research evidence record openai:c9
- AI research evidence record anthropic:8-1
- AI research evidence record anthropic:17-5
- AI research evidence record google:1.4.7
- AI research evidence record openai:c1
- AI research evidence record anthropic:12-1
- AI research evidence record grok:web:0
- AI research evidence record openai:c9
- AI research evidence record anthropic:9-2
- AI research evidence record deepseek:c1
- AI research evidence record kimi:intelcue-market-intel-2024
- AI research evidence record openai:c1
- AI research evidence record anthropic:22-5
- AI research evidence record openai:c11
- AI research evidence record openai:c13
- AI research evidence record anthropic:1-1
- 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
- 47
- Ranking mentions
- 5 of 7
- Platform share
- 71%
- Final consensus rank
- #2
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
19 independent · 27 company-owned · 1 unclear
Evidence support
42 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 204267766fbe1f4a884660c2f6bad40f788f6f0f5ad84badd5238989c29ec713