Answer Capsule
Orchly is a good fit for small and mid-sized US marketing teams that want AI-search visibility monitoring bundled with content and SEO execution. Two of seven platforms named Orchly during the ranking stage (anthropic, google), and five of seven rated it a good fit for this use case, while two rated it uncertain. The strongest reason to consider it is the combination of prompt-level tracking, competitor benchmarking, citation analysis, and white-label reporting at a publicly listed Pro price of $125/month. The main limitation is that Orchly's public materials leave prompt limits, add-on pricing, historical retention, and contract terms unclear, and most supporting evidence is company-owned.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (anthropic, google) |
| Share of included platform responses | 28.6% |
| Average listed rank | 7.0 |
| Best listed rank | 5 (google) |
| Relevant product/model/plan | Orchly AI Search Monitoring; Orchly Pro |
| Overall use-case fit | Good (5 platforms); Uncertain (2 platforms) — 7 platforms analyzed |
| Research date | 2026-09-19 |
Why Orchly Qualified for This Study
Questions This Section Answers
- Is Orchly a good choice for LLM Monitoring Platforms?
- Why did only two of seven AI platforms name Orchly in the ranking stage?
Orchly qualified because it is marketed directly at the study's use case: monitoring how AI answer systems discuss, cite, and recommend brands. Orchly describes AI Search Monitoring as covering ChatGPT, Google AI Overview, Perplexity, Gemini, Claude, and Grok, with prompt tracking, citation analysis, sentiment, competitor analysis, recommendation tracking, visibility trends, AI-traffic analytics, and white-label reports [1]. The company positions itself as an AI SEO platform that combines content creation with visibility tracking across traditional search engines and AI platforms [2].
It cleared the study's minimum-mention threshold but only narrowly. Two of seven platforms named Orchly during ranking discovery, at ranks 9 (anthropic) and 5 (google), for an average listed rank of 7.0. Five platforms did not name it in the ranking stage at all. That split matters for buyers: Orchly is a recognized option in this category, but it is not a consensus pick among the models surveyed.
Fit ratings were more favorable than ranking presence. Five of seven platforms rated Orchly a good fit for this use case (openai, anthropic, google, grok, perplexity), and two rated it uncertain (deepseek, kimi). The uncertain ratings came from platforms that could not locate independent corroboration of Orchly's claimed capabilities rather than from evidence of poor performance.
The Product, Model, Plan, or Service Most Relevant to LLM Monitoring Platforms
Questions This Section Answers
- Which Orchly product and plan should a marketing team buy for LLM monitoring?
- Does Orchly Pro include Gemini, Claude, and Grok monitoring, or are those paid add-ons?
The relevant offering is Orchly AI Search Monitoring, sold through Orchly's Essential, Pro, and Enterprise plans, with Pro as the plan most platforms pointed to for serious monitoring use (openai, anthropic, grok, perplexity, google). Orchly Pro is publicly listed at $125/month monthly or $93/month with annual billing, and Essential at $49/month monthly or $37/month annually [4]. Orchly's own pricing page also displays a $37/month figure inside the Pro section, which creates an unexplained presentation conflict that buyers should clarify directly [7].
Platform coverage is the most consequential plan detail, and the sources conflict. Orchly's AI Search Monitoring page says it monitors ChatGPT, Gemini, Perplexity, Claude, Grok, and Google AI Overview [8]. The pricing page says ChatGPT, Google AI Overview, and Perplexity are included in base plans, while Gemini, AI Mode, Grok, and Claude are available as paid add-ons [7]. Orchly's Google AI Mode page separately describes AI Mode as an add-on on top of the base plan [10]. Buyers should treat "six-platform coverage" as a marketing claim and confirm which engines are included at their specific tier before purchase.
Prompt capacity also varies by source. One platform reported Essential at 25 prompts and Pro at 100 prompts refreshed daily [11], while another reported 25 prompts for Pro [7]. This is a material conflict for a buyer sizing prompt coverage, and it should be resolved in writing before signing.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Orchly does well for LLM monitoring?
- Is Orchly's reporting strong enough for agency and executive use?
Platforms broadly agreed on Orchly's core monitoring capabilities. Multi-platform coverage, prompt tracking, competitive analysis, historical trend reporting, and shareable reporting were each assessed as advantages by the platforms that examined them [13].
On competitive analysis, platforms agreed Orchly supports named competitor tracking, AI-visibility leaderboards, per-engine comparisons, share-of-voice analysis, competitor heatmaps, and competitor inclusion in reports [17]. One platform noted that citation analysis lists the URLs and domains used as reference points in AI responses and checks whether the brand or its pages appear on those sources [19].
On reporting, platforms agreed Orchly combines AI-search visibility, citations, sentiment, organic rankings, and social data into shareable reports, live links, or PDF exports, with white-label reporting advertised [22]. One independent review described client-facing reports as live, branded, shareable dashboards that update automatically [23].
On data collection, Orchly says it collects responses directly from AI-platform interfaces using preferred location proxies rather than relying only on API feeds [25]. Platforms treated this as a neutral factor: it may improve comparability with what users actually see, but results can vary with location, personalization, platform changes, and sampling methodology.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why did some AI platforms rate Orchly's fit as uncertain for LLM monitoring?
- Does Orchly provide historical baseline data at signup?
The clearest disagreement was about evidence quality, not features. Two platforms rated Orchly's fit uncertain because they could not find independent verification of its claimed coverage, pricing, or capabilities [27]. One of those platforms reported finding no Orchly results on G2, Capterra, or Product Hunt and minimal social presence as of its research date [30]. That platform's research ran without search enabled, which limits how much weight its absence-of-evidence finding should carry [27].
Historical data produced a second disagreement. One platform reported that Orchly tracks data forward from enrollment only, with no retroactive analysis, preventing baseline comparisons for new accounts [31]. Other platforms described historical trend reporting as an advantage without addressing backfill [34]. No source specified a maximum retention period, so the retention question remains open regardless of which position is correct.
Pricing conflicts were also unresolved. Public sources disagree on trial length: Orchly's own pages show a 7-day trial in one capture and a 14-day trial in another (official:C1, official:C2), and third-party reviews mention both 7-day and 14-day trials [36]. Annual pricing figures conflict as well, with $93/month and $125/month both appearing for Pro across sources [38]. One platform flagged older third-party reviews citing "Starter" plans at $59/month or "Pro" at $189/month that do not match the current official plan structure [40].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Orchly track prompts, citations, sentiment, and competitors across AI platforms?
- Can Orchly monitor product recommendations in AI shopping answers?
Prompt tracking is a documented strength. Orchly runs tracked prompts against covered engines and reports prompt-level visibility, with daily refreshes [41]. One platform described Pro as checking configured buyer-intent prompts against live LLM responses using proxy locations to mimic actual user searches, tracking position, citation status, and sentiment [43].
Competitive analysis covers named competitors, leaderboards, per-engine comparisons, share of voice, heatmaps, and competitor inclusion in reports [44]. Citation analysis identifies which URLs and domains AI responses reference and whether the brand appears on them [46].
Reporting combines AI-search visibility, platform mentions, citations, sentiment, organic rankings, and social data into shareable reports, live links, or PDF decks, with white-label output advertised [48]. One independent review described a single link giving clients real-time access to ranking performance, AI citation status, site audit results, and content metrics [50].
Recommendation and shopping visibility is a narrower capability. Orchly's Shopping Visibility Tracker monitors product visibility in ChatGPT Shopping mode, recording product cards, prices, and merchants captured from the interface rather than an API [51]. One independent source described carousel appearance rate as a reported percentage with week-over-week trends [54]. Coverage beyond shopping surfaces is not fully documented publicly.
Orchly also bundles an Action Center that converts visibility data into next steps, plus content creation, SEO rank tracking, and page audits [55]. Buyers who want monitoring only are paying for that breadth whether they use it or not.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Orchly Pro cost per month, and what does the $37/month figure on the pricing page mean?
- What are the cancellation, renewal, and refund terms for an Orchly subscription?
Publicly listed pricing is Essential at $49/month monthly or $37/month annually, and Pro at $125/month monthly or $93/month annually, with Enterprise custom-priced [58]. Orchly's pricing page also displays a $37/month figure within the Pro section, and the meaning of that figure is not explained in the captured page content [61]. Pricing confidence varies by platform: two rated it high (anthropic, grok), one moderate (perplexity), and two low (openai, deepseek).
Add-on costs are the largest unresolved pricing question. Gemini, AI Mode, Grok, and Claude are described as on-demand paid add-ons whose prices are not publicly specified [61]. A buyer who needs all six advertised engines may face a materially higher total cost than the headline Pro price suggests.
Contract terms are partially documented. Orchly's terms state that subscription fees are billed in advance monthly or annually, that fees are non-refundable except as required by law, that subscriptions automatically renew unless cancelled before the renewal date, and that Orchly may change pricing with 30 days' notice (official:C3). Cancellation is available at any time through account settings, with access ending at the conclusion of the current billing period (official:C3). One platform reported upgrade and downgrade with proration [59]. No source clearly states annual-contract cancellation obligations, refund timing, data export rights, or post-cancellation retention, so those remain open questions.
Best Suited For
Questions This Section Answers
- Who gets the most value from Orchly for LLM monitoring?
- Is Orchly a good fit for agencies that need white-label client reporting?
Orchly is best suited to small and mid-sized US marketing teams that want AI-search visibility monitoring plus execution in one platform. Platforms most often described it as a fit for teams monitoring brand presence and recommendations across ChatGPT, Google AI Overview, Perplexity, Gemini, Claude, Grok, and related AI-search surfaces (openai, anthropic, grok, perplexity, google).
Agencies are a recurring fit profile. Multiple platforms highlighted white-label reporting, client-ready dashboards, and multi-user access at the Pro tier as reasons agencies choose Orchly [62]. One independent review described the Pro plan as undercutting traditional agency tool stacks by combining visibility and execution [65].
E-commerce brands tracking product visibility in AI shopping recommendations are a third fit, based on the Shopping Visibility Tracker [66]. Teams that want monitoring connected to content improvement rather than dashboards alone are also a match, given the Action Center and content agents [68].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Orchly for LLM monitoring?
- Is Orchly suitable for enterprise buyers that need SLAs and security documentation?
Orchly is probably not the best choice for organizations that need high-volume prompt monitoring, many domains, formal enterprise SLAs, or fully documented data-retention and governance terms (openai, anthropic, perplexity). The publicly listed Pro plan shows limited prompt and website capacity, and enterprise limits, service levels, and retention terms are unclear.
Teams focused on application observability rather than public brand visibility are a poor match. Buyers needing model traces, latency, token usage, evaluations, prompt-version monitoring, or production LLM reliability should look at dedicated LLM observability platforms instead (openai, kimi).
Buyers who need clearly published pricing for every monitored platform before purchase should also hesitate, because several engines are described as paid add-ons without public prices [70]. Monitoring-only teams that do not need bundled content creation, SEO rank tracking, or page audits may find the platform broader than required (anthropic, perplexity, google).
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Orchly for a buyer who needs the widest AI engine coverage?
- When should a buyer choose a dedicated LLM observability platform instead of Orchly?
Choose a coverage-first tracker when the priority is the widest native engine coverage. One independent review noted Orchly does not match a coverage-first tracker like Rankscale, which lists 17+ engines on every plan, and described Orchly's engine coverage as narrower than coverage-first alternatives [72].
Choose a dedicated LLM observability platform when the requirement is model traces, latency, token usage, evaluations, or production reliability rather than public brand visibility (openai). One platform pointed to Langfuse, LangWatch, and similar tools with published pricing and documented retention tiers as alternatives for that need [74].
Choose a monitoring-only vendor when bundled content and SEO features are unnecessary, since Orchly has no monitoring-only SKU (anthropic, perplexity). Choose another vendor when all target platforms must be included in one transparent price and Orchly's add-on structure materially increases total cost (openai). Buyers who need 6–12 months of historical baseline at signup should also compare options, given the forward-only tracking limitation reported for Orchly and similar tools [76].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Orchly before signing a contract?
- Which Orchly plan limits and add-on prices need written confirmation?
Confirm the exact Pro price for monthly and annual billing, and what the displayed $37/month figure represents [78]. Confirm the prices and usage limits for the Gemini, AI Mode, Grok, and Claude add-ons [78]. Confirm whether the Pro prompt limit is 25 or 100 prompts, whether it applies per account or per website, and what incremental prompt volume costs [78].
Confirm how long historical data is retained, whether raw prompt responses, citations, and time-series data can be exported, and whether any retroactive data is available at signup [81]. Confirm how prompts are sampled, how often they run, and how platform personalization, location, rate limits, and answer variability are handled [83]. Confirm competitor limits, user permissions, API quotas, and report customization on the plan being sold [84].
Confirm whether annual plans are cancellable, and what the refund, renewal, and data-deletion terms are (official:C3). Confirm what security documentation, subprocessors, SLA, and support response times are available for a US marketing team (openai, perplexity). Ask for independent references or case studies, since most public evidence is company-owned (deepseek, kimi).
Final AI Consensus Verdict
Orchly is a good, not unanimous, fit for LLM Monitoring Platforms. Five of seven platforms rated it a good fit for this use case, and two rated it uncertain because independent corroboration was thin. Two of seven platforms named it during ranking discovery, at ranks 9 and 5.
The case for Orchly rests on breadth at a published price: prompt tracking, competitor benchmarking, citation analysis, sentiment, historical trends, recommendation and shopping visibility, and white-label reporting, with Pro listed at $125/month monthly or $93/month annually. The case against rests on unresolved specifics: which engines are included versus add-on, whether Pro includes 25 or 100 prompts, what the add-ons cost, how long data is retained, and what the contract obligates. Most supporting evidence is company-owned, and no platform independently verified measurement accuracy or customer outcomes.
For a small or mid-sized US marketing team that wants monitoring connected to content and reporting, Orchly is worth a trial. For larger or highly governed buyers, treat it as a mixed-to-good fit until prompt and domain scaling, add-on pricing, historical retention, methodology, and contract terms are confirmed in writing. Buyers comparing options across this category can review the full LLM Monitoring Platforms index for how Orchly ranks against other finalists.
Teams that want to browse adjacent categories and vendor directories can start from the ai visibility llm monitoring directory.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms, each asked to recommend LLM monitoring platforms for a marketing team needing multi-platform coverage, prompt tracking, competitive analysis, historical data, and useful reporting. Each platform returned a fit rating, use-case findings, strengths, limitations, pricing notes, and questions to verify. The study date is 2026-09-19. Platform-reported research dates are provenance metadata and do not independently prove freshness; one platform's research was dated 2026-01-15 and ran without search enabled. Ranking statistics count only platforms that named Orchly during ranking discovery, not platforms that evaluated fit. All citations are platform-reported evidence, and the supplied URLs were not independently validated at the writing stage.
Methodology Limitations
Company-owned citations materially outnumber independent citations in this evidence set, so company claims should not be read as independently verified. Two platforms rated fit uncertain specifically because independent corroboration was missing, and one of those ran without search enabled, which limits its absence-of-evidence conclusions. Platform-reported research dates differ from the authoritative run date. Public sources conflict on trial length, annual pricing, and Pro prompt capacity, and those conflicts are preserved rather than resolved. No source specified maximum historical retention, maximum competitor count, location coverage by plan, or prompt-volume expansion pricing. No platform independently verified measurement accuracy, customer outcomes, security certifications, or service levels. This review reflects platform-reported evidence only and does not include hands-on testing.
Sources
Company-Owned Sources
- Argus — AI Agent Observability: https://argusapp.io/
- Orchly AI: Autonomous Agents for SEO & AI Search Visibility: https://orchly.ai/
- About Orchly - AI SEO Platform for Modern Marketing: https://orchly.ai/about/
- 15 Best AI Search Monitoring Tools (I Tested in 2026: https://orchly.ai/blog/best-ai-search-monitoring-tools/
- We Tested the 8 Best Claude Rank Tracking Tools ( in 2026: https://orchly.ai/blog/best-claude-rank-tracking-tools/
- AI Search Monitoring: Track Brand Visibility Across AI Platforms: https://orchly.ai/features/ai-search-monitoring/
- ChatGPT Shopping Tracker: Product Visibility & Rankings: https://orchly.ai/features/shopping-visibility-tracker/
- Orchly Help Center: https://orchly.ai/help/
- How to create a shareable AI Visibility report in Orchly: https://orchly.ai/help/create-and-share-reports/
- How to add and manage competitors in Orchly: https://orchly.ai/help/manage-competitors/
- How to track AI visibility in Orchly: https://orchly.ai/help/track-ai-visibility/
- Pricing - Orchly: https://orchly.ai/pricing/
- ChatGPT Brand Visibility Tracker: Monitor & Optimize Your: https://orchly.ai/solutions/chatgpt-brand-visibility-tracker/
- Google AI Mode Rank Tracker: Monitor Your Search Visibility: https://orchly.ai/solutions/google-ai-mode-rank-tracker/
- Google AI Overview Rank Tracker: Monitor Your Search: https://orchly.ai/solutions/google-ai-overview-rank-tracker/
- Official pricing and terms source: https://orchly.ai/terms/
Additional AI research evidence85 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:source_43_13
- AI research evidence record anthropic:source_43_14
- AI research evidence record perplexity:c1
- AI research evidence record grok:web:1
- AI research evidence record google:3.2.2
- AI research evidence record openai:c2
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:source_39_1
- AI research evidence record perplexity:c12
- AI research evidence record anthropic:source_6_1
- AI research evidence record anthropic:source_6_3
- AI research evidence record openai:c1
- AI research evidence record anthropic:source_39_7
- AI research evidence record grok:web:3
- AI research evidence record google:1.1.1
- AI research evidence record openai:c5
- AI research evidence record anthropic:source_39_8
- AI research evidence record anthropic:source_20_5
- AI research evidence record anthropic:source_20_6
- AI research evidence record anthropic:source_20_7
- AI research evidence record openai:c7
- AI research evidence record anthropic:source_37_5
- AI research evidence record grok:web:1
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_38_3
- AI research evidence record deepseek:c1
- AI research evidence record kimi:orchly-search-verification-failed
- AI research evidence record kimi:none-independent-prompt-tracking
- AI research evidence record kimi:orchly-2026-site
- AI research evidence record anthropic:source_34_3
- AI research evidence record anthropic:source_34_4
- AI research evidence record anthropic:source_34_5
- AI research evidence record openai:c6
- AI research evidence record grok:web:0
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:source_28_6
- AI research evidence record anthropic:source_6_3
- AI research evidence record perplexity:c1
- AI research evidence record google:3.2.1
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_39_11
- AI research evidence record google:1.1.3
- AI research evidence record openai:c5
- AI research evidence record anthropic:source_39_7
- AI research evidence record anthropic:source_20_6
- AI research evidence record anthropic:source_20_7
- AI research evidence record openai:c7
- AI research evidence record anthropic:source_37_5
- AI research evidence record anthropic:source_37_6
- AI research evidence record anthropic:source_38_1
- AI research evidence record anthropic:source_38_2
- AI research evidence record anthropic:source_38_3
- AI research evidence record anthropic:source_40_3
- AI research evidence record anthropic:source_23_1
- AI research evidence record anthropic:source_23_2
- AI research evidence record anthropic:source_43_13
- AI research evidence record perplexity:c1
- AI research evidence record grok:web:1
- AI research evidence record google:3.2.2
- AI research evidence record openai:c2
- AI research evidence record anthropic:source_37_5
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:source_9_2
- AI research evidence record anthropic:source_38_1
- AI research evidence record anthropic:source_38_2
- AI research evidence record anthropic:source_23_1
- AI research evidence record anthropic:source_23_2
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:source_7_12
- AI research evidence record anthropic:source_7_13
- AI research evidence record kimi:langfuse-retention
- AI research evidence record kimi:langwatch-retention
- AI research evidence record anthropic:source_34_3
- AI research evidence record anthropic:source_34_5
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:source_6_1
- AI research evidence record anthropic:source_34_3
- AI research evidence record anthropic:source_34_5
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record perplexity:c15
Independent Sources
- The Definitive GEO and AI Visibility Tool Guide: https://beamtrace.com/blog/ai-visibility-tools
- Orchly AI Review 2026: https://citedaily.com/orchly-ai-review
- Orchly AI Review (2026): Affordable GEO Tracking + Content: https://citedaily.com/reviews/orchly
- Otterly Review 2026: Pricing, Features & Honest Verdict: https://crawlraven.com/blog/otterly-review
- Langfuse Review 2026 | EuropeanStack: https://europeanstack.com/software/langfuse
- LangWatch Review (2026): Pricing, Features & Honest Verdict: https://makerstack.co/reviews/langwatch-review/
- Tools to Improve Visibility in AI Chatbot Shopping Suggestions: 2026 Comparison: https://siftly.ai/blog/tools-improve-visibility-ai-chatbot-shopping-suggestions-2026
- Automated SEO Reporting Guide: https://sourceloop.ai/blog/automated-seo-reporting
- Orchly AI Review 2026: AI SEO Tool For Google & AI Search Rankings: https://webseotrends.com/blog/orchly-ai-review/
- Orchly AI Search Monitoring and Rank Tracking Review: https://webseotrends.com/orchly-ai-search-monitoring-including-microsoft-copilot-rank-tracking
Additional AI research evidence85 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:source_43_13
- AI research evidence record anthropic:source_43_14
- AI research evidence record perplexity:c1
- AI research evidence record grok:web:1
- AI research evidence record google:3.2.2
- AI research evidence record openai:c2
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:source_39_1
- AI research evidence record perplexity:c12
- AI research evidence record anthropic:source_6_1
- AI research evidence record anthropic:source_6_3
- AI research evidence record openai:c1
- AI research evidence record anthropic:source_39_7
- AI research evidence record grok:web:3
- AI research evidence record google:1.1.1
- AI research evidence record openai:c5
- AI research evidence record anthropic:source_39_8
- AI research evidence record anthropic:source_20_5
- AI research evidence record anthropic:source_20_6
- AI research evidence record anthropic:source_20_7
- AI research evidence record openai:c7
- AI research evidence record anthropic:source_37_5
- AI research evidence record grok:web:1
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_38_3
- AI research evidence record deepseek:c1
- AI research evidence record kimi:orchly-search-verification-failed
- AI research evidence record kimi:none-independent-prompt-tracking
- AI research evidence record kimi:orchly-2026-site
- AI research evidence record anthropic:source_34_3
- AI research evidence record anthropic:source_34_4
- AI research evidence record anthropic:source_34_5
- AI research evidence record openai:c6
- AI research evidence record grok:web:0
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:source_28_6
- AI research evidence record anthropic:source_6_3
- AI research evidence record perplexity:c1
- AI research evidence record google:3.2.1
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_39_11
- AI research evidence record google:1.1.3
- AI research evidence record openai:c5
- AI research evidence record anthropic:source_39_7
- AI research evidence record anthropic:source_20_6
- AI research evidence record anthropic:source_20_7
- AI research evidence record openai:c7
- AI research evidence record anthropic:source_37_5
- AI research evidence record anthropic:source_37_6
- AI research evidence record anthropic:source_38_1
- AI research evidence record anthropic:source_38_2
- AI research evidence record anthropic:source_38_3
- AI research evidence record anthropic:source_40_3
- AI research evidence record anthropic:source_23_1
- AI research evidence record anthropic:source_23_2
- AI research evidence record anthropic:source_43_13
- AI research evidence record perplexity:c1
- AI research evidence record grok:web:1
- AI research evidence record google:3.2.2
- AI research evidence record openai:c2
- AI research evidence record anthropic:source_37_5
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:source_9_2
- AI research evidence record anthropic:source_38_1
- AI research evidence record anthropic:source_38_2
- AI research evidence record anthropic:source_23_1
- AI research evidence record anthropic:source_23_2
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:source_7_12
- AI research evidence record anthropic:source_7_13
- AI research evidence record kimi:langfuse-retention
- AI research evidence record kimi:langwatch-retention
- AI research evidence record anthropic:source_34_3
- AI research evidence record anthropic:source_34_5
- AI research evidence record openai:c2
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:source_6_1
- AI research evidence record anthropic:source_34_3
- AI research evidence record anthropic:source_34_5
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record perplexity:c15
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 19, 2026
- Platforms analyzed
- 7
- Source records
- 26
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #10
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
10 independent · 16 company-owned
Evidence support
23 direct · 3 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 b37a049a4accc1394e9a4eea69ad98f76a862f3f10e22f63f397df7aba6f2628