Answer Capsule
OtterlyAI is a good fit for companies that want prompt-based AI citation intelligence at small-to-mid-market scale, especially when the priority is seeing cited URLs, competitor domains, and daily changes across four core AI answer platforms. Five of the seven included platforms named OtterlyAI during the ranking stage, and six returned a usable fit assessment. The strongest reason to consider it is direct visibility into which URLs and domains AI answers cite, backed by public pricing that starts at $29/month. The main limitation is coverage: Gemini, Claude, and Google AI Mode are paid add-ons, and public evidence does not verify citation accuracy, geographic controls, or historical-data retention in a standardized way.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 5 of 7 included platforms (anthropic, google, grok, openai, perplexity) |
| Share of included platform responses | 71.4% |
| Average listed rank | 4.0 |
| Best listed rank | 2 (grok) |
| Relevant product/model/plan | OtterlyAI Lite, Standard, or Premium; Standard is the most relevant default for multi-platform citation and competitor-source analysis |
| Overall use-case fit | Good (openai, anthropic, perplexity); strong (grok); mixed (deepseek); uncertain (kimi) |
| Research date | 2026-09-17 |
Why OtterlyAI Qualified for This Study
Questions This Section Answers
- Is OtterlyAI a good choice for AI Citation Intelligence Platforms?
- How many AI platforms named OtterlyAI during the ranking stage for AI Citation Intelligence Platforms?
OtterlyAI qualified because it was named by five of the seven included platforms during ranking discovery, and six platforms returned a usable fit assessment. It is positioned as an AI search monitoring and brand visibility platform that tracks how brands appear in AI answers [1].
The platform's core relevance to this use case is that it reports cited URLs and domains associated with tracked answers rather than only brand mentions [2]. It uses user-defined search prompts and daily tracking, which allows comparison of visibility, citations, and competitor presence over recurring observations [5].
OtterlyAI also publishes its own citation research. Its 2026 AI Citations Report analyzed more than 1 million AI citations from January–February 2026 and reported platform-specific patterns: ChatGPT emphasizes Reddit and Wikipedia, Perplexity leans on community sources (16.9%), and Google AI Overviews show 59.8% brand citation preference [7]. That research is company-owned evidence, not independent verification.
For buyers comparing this option against the wider field, the AI Citation Intelligence Platforms consensus index aggregates how each platform was ranked.
The Product, Model, Plan, or Service Most Relevant to AI Citation Intelligence Platforms
Questions This Section Answers
- Which OtterlyAI plan should a buyer choose for multi-platform citation and competitor-source analysis?
- Does OtterlyAI Lite include Gemini and Claude, or are those paid add-ons for AI citation intelligence?
The most relevant default for this use case is the Standard plan at $189/month with 100 search prompts, because it adds API and MCP access that Lite does not list [8]. Premium at $489/month raises the ceiling to 400 prompts for buyers tracking many markets or competitor sets [11].
Lite at $29/month covers 15 prompts and is best treated as entry-level research rather than a competitive-analysis tier [8]. Core tracking covers ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot on all plans; Google AI Mode, Gemini, and Claude are separately priced add-ons [8].
OtterlyAI's own feature pages describe AI Search Analytics tracking brand mentions, citations, sentiment, and share of voice, plus Website Citation Tracking showing every cited URL and whether the brand is named [15]. A July 2026 update added Winners & Losers tracking and a Citation Details View showing citation trends over time, which prompts a URL was cited in, and brand coverage by engine [16].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree OtterlyAI does well for AI citation intelligence?
- Does OtterlyAI show which specific URLs and domains AI answers cite?
The clearest agreement is that OtterlyAI exposes cited URLs and domains rather than only brand mentions. OpenAI, Anthropic, Grok, and Perplexity all describe citation- and domain-level reporting [17].
A second area of agreement is prompt-based, recurring tracking. Multiple platforms describe user-defined prompts run against AI engines on a daily basis, enabling comparison of citations and competitor presence over time [26].
A third is competitor and share-of-voice reporting. Public product materials and independent reviews describe competitor visibility, brand mentions, and identification of competitors appearing in answers [17].
A fourth is pricing structure. OpenAI, Anthropic, Grok, and Perplexity all report Lite at $29/month, Standard at $189/month, and Premium at $489/month, with annual billing advertised at a discount [17].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Is OtterlyAI's authority-gap and citation-architecture analysis independently verified?
- Does an OtterlyAI Pro plan at $989 per month actually exist?
Fit ratings diverged. Grok rated OtterlyAI a strong fit; OpenAI, Anthropic, and Perplexity rated it good; DeepSeek rated it mixed; Kimi rated it uncertain [34].
The largest unresolved conflict is the Pro plan. Ranking-stage materials reference an OtterlyAI Pro plan at $989/month, but the public pricing page and help page checked list Lite, Standard, Premium, and custom Enterprise; Pro was not verified [35]. DeepSeek and Kimi both flagged this as unconfirmed [41].
Engine coverage is also described inconsistently. The homepage describes citation tracking across six AI platforms, while the pricing page lists four included engines plus three separately priced add-ons; the distinction may reflect included versus optional engines [35].
Annual pricing carries a smaller conflict: the pricing page displays both a monthly Premium price of $489 and an annual-billing figure of $422/month, and the billing commitment and exact annual total should be confirmed [42]. Anthropic reported a 13% annual discount while Grok and Perplexity reported roughly 15% [40].
Authority-gap analysis is the weakest-verified claim. OpenAI rated it unclear, noting that public materials do not clearly establish a comprehensive, independently validated authority-scoring or source-quality framework [44]. Perplexity reached the same conclusion [37]. DeepSeek found no independently authored accuracy benchmark or audited citation-reporting review [38].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does OtterlyAI track how citation sources differ by prompt and by AI platform?
- Can OtterlyAI data be exported or accessed by API for independent citation analysis?
Citation and source intelligence is the strongest-supported capability. OtterlyAI reports cited URLs and domains associated with tracked answers, and citation export is available on all plans according to company help documentation [50]. Independent reviews corroborate citation-tab functionality showing exact URLs, brand presence, competitors, and domains [52].
Prompt- and time-based analysis is also supported. The service runs user-defined prompts with daily tracking, enabling comparison of visibility, citations, and competitor presence across recurring observations; usefulness depends on prompt selection, engine availability, and consistent tracking conditions [54].
Domain categorization is described in independent review coverage: OtterlyAI's Domain Citations view categorizes cited sources by type (News/Media, Government/NGO, Competitor, Blogs/Personal Sites, Community) and tracks citation frequency by category [57]. This is the closest documented feature to authority-gap research, though no independent validation of the categorization methodology was supplied.
Exports and integrations are documented. CSV and citation-report exports are available on all plans; Standard and Premium publicly list API and MCP access, while Lite does not [50]. Anthropic reported Standard at 2,000 API requests/month and Premium at 5,000, plus a Google Looker Studio connector [58].
GEO audit functionality is described as testing 19 AI crawlers against robots.txt and server configuration [60]. OtterlyAI's own research reported that 73% of sites have technical barriers blocking AI crawler access, which limits citation visibility to crawlable content [60].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does OtterlyAI cost per month, and what do Gemini and Claude add-ons add to the total?
- What are OtterlyAI's cancellation, refund, and annual-billing terms?
Public pricing lists Lite at $29/month for 15 prompts, Standard at $189/month for 100 prompts, and Premium at $489/month for 400 prompts; Enterprise is custom and starts from $1,000/month [61]. Annual billing is advertised at 15% off, with the page displaying Lite at $25/month, Standard at $160/month, and Premium at $422/month [63].
Add-ons materially change total cost. Additional 100 prompts cost $99/month on Standard or Premium [61]. Monthly engine add-ons list Google AI Mode and Gemini at $9/$59/$149 for Lite/Standard/Premium, and Claude at $29/$109/$439 [61]. Perplexity's pricing calculator reported Gemini AI and Google AI-Mode add-ons at +$9/month or +$93/year, and Claude at +$29/month or +$300/year [65]. Taxes are excluded from displayed add-on prices [61].
Contract terms are partially documented. Monthly and annual payment options are publicly stated, payment is by credit card, and the pricing page FAQ states subscriptions are monthly and can be cancelled anytime through account settings [61]. Anthropic reported month-to-month billing with no minimum contract term and upgrade/downgrade available at any time [62]. Grok reported that unused prompts do not roll over and that Standard is limited to 300 extra prompts before an upgrade to Premium is required [63].
Public sources checked did not clearly establish refund, cancellation timing, data-retention, or renewal terms [61]. Pricing confidence was rated high by Anthropic and Grok, moderate by OpenAI, and low by Perplexity, DeepSeek, and Kimi [62].
Best Suited For
Questions This Section Answers
- Who gets the most value from OtterlyAI for AI citation intelligence?
- Is OtterlyAI a good fit for agencies managing AI search optimization for multiple clients?
OtterlyAI is best suited to companies that need daily monitoring of a defined set of buyer prompts [70]. Marketing and SEO teams analyzing which domains and URLs AI systems cite are the clearest fit [72].
Small and mid-sized teams needing a comparatively low-cost starting point are also well matched, given the $29/month entry tier [70]. Agencies requiring multiple workspaces, API/MCP access, and higher prompt volumes fit the Standard and Premium tiers [70].
Content strategists identifying which sources and domains AI engines prioritize by platform, and organizations monitoring authority gaps by domain category, are also named as appropriate buyers [73]. Buyers who will independently validate prompt coverage, platform coverage, and citation-source reporting in a trial are a particularly good match given the evidence gaps [80].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose OtterlyAI for AI Citation Intelligence Platforms?
- Is OtterlyAI suitable for regulated industries that need citation compliance audit trails?
Buyers requiring broad native coverage of every major generative-answer platform at the base price should look elsewhere, because Gemini, Claude, and Google AI Mode are paid add-ons [81].
Organizations needing independently validated citation accuracy, causal attribution to pipeline, or comprehensive geographic and model experimentation are not well served by the public evidence [84].
Teams needing deep content execution, outreach, or guaranteed recommendations rather than monitoring and reporting should not expect those capabilities from public materials [81]. Academic researchers requiring citation provenance for peer review, fact-checking organizations needing deterministic source authenticity verification, and enterprises requiring guaranteed citation attribution compliance in regulated industries such as healthcare or finance are all named as poor fits [89].
Buyers whose procurement requires fixed, publicly documented US pricing and cancellation terms should also proceed cautiously, since refund, retention, and renewal terms were not clearly established in the sources checked [87].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to OtterlyAI when Gemini and Claude coverage is mandatory?
- When should a buyer choose a broader enterprise AI-search platform instead of OtterlyAI?
Choose a broader enterprise AI-search intelligence platform when the buyer needs native coverage across more engines, larger prompt volumes, location and model controls, or formal governance [91]. Choose a broader SEO or content platform when citation monitoring must be combined with extensive search data, content optimization, publishing, or backlink workflows [91].
Choose a lower-cost multi-engine alternative when Gemini and Claude are mandatory and OtterlyAI add-on pricing makes the total cost materially higher [91]. Kimi's research named Citingly, Citany, CiteMetrix, Cited, CiteTrack AI, Citare, and Vercite as alternatives with documented capabilities, though those comparisons come from a single platform response and were not independently validated [92].
For buyers who need AI training-data attribution rather than generated-answer citations, model transparency tools are a different category entirely [93]. For comprehensive traditional search citation tracking, SEO tools focused on organic search are more appropriate [93]. For scientific paper citation analysis, academic citation networks such as Scopus, Web of Science, or Dimensions serve a different need [93].
Use independent manual validation or a second platform when decisions depend on citation accuracy, source quality, or causal explanations rather than directional monitoring [91].
Questions to Verify Before Buying
Which exact engines, models, locales, and browsing modes are included in the quoted plan, and which require add-ons [95]?
Does the buyer receive the raw answer, every cited URL, citation position, source type, and historical snapshot for each prompt [95]?
What are the sampling frequency, geographic controls, rate limits, and retention period [95]?
Are API and MCP access included in the proposed plan, and are there usage limits or separate charges [95]?
What happens to tracked data, reports, and exports after cancellation [95]?
Are annual plans prepaid, auto-renewing, refundable, or cancellable mid-term [95]?
Can the buyer obtain a trial or sample report using its own prompts and target markets [95]?
What is the verified price and scope of any Pro plan referenced in third-party or ranking materials [95]?
Does OtterlyAI capture citations for paraphrased prompts with the same intent, or only exact-match prompts [96]?
What SLA is offered for API uptime and data accuracy on Standard and Premium plans [98]?
Final AI Consensus Verdict
OtterlyAI is a good fit for companies seeking practical, prompt-based AI citation intelligence at small-to-mid-market scale, especially when the priority is seeing cited URLs, competitor domains, and daily changes across four core AI answer platforms [104]. Grok rated it strong, OpenAI, Anthropic, and Perplexity rated it good, DeepSeek rated it mixed, and Kimi rated it uncertain.
It is not a definitive all-platform authority-gap or attribution system. Buyers should validate total cost and coverage if Gemini, Claude, Google AI Mode, enterprise controls, or rigorous citation-quality measurement are essential [104]. The unresolved Pro plan pricing, inconsistent engine-count descriptions, and unverified authority-gap methodology are the three items most likely to affect a purchase decision [104].
For buyers who need to compare this verdict against the full field, the ai citation authority building directory covers the broader category.
How This Review Was Produced
This review synthesizes fit assessments returned by seven AI platforms against a single buyer prompt about AI citation intelligence platforms. Five platforms named OtterlyAI during ranking discovery, and six returned a usable fit assessment. Platform-reported research dates ranged from 2026-01-15 to 2026-09-17; the authoritative run research date is 2026-09-17.
Platform responses were treated as platform-reported evidence, not independently verified facts. Company-owned sources were distinguished from independent reviews and directories throughout. Where platforms disagreed, the disagreement is stated rather than resolved.
Methodology Limitations
Six of seven included platforms returned a usable fit assessment, so the fit findings are not unanimous. Platform mentions in the ranking stage count only platforms that named the entity during ranking discovery.
Platform-reported research dates differ from the authoritative run date and do not independently prove freshness. Anthropic reported 2026-01-15 and DeepSeek reported 2026-01-22, while the remaining platforms reported 2026-09-17.
The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Official-site retrieval failed for one or more mentions during normalization, and no failed fetch was used as a verified domain key. Company-name variants were collapsed onto one canonical brand before minimum-mentions qualification.
Conflicting product names, pricing, and capabilities were not resolved by guessing. The OtterlyAI Pro plan and $989/month price remain unverified. The annual Premium figure of $422/month appears alongside a $489 monthly figure, and the billing commitment and exact annual total were not confirmed. The homepage describes six AI platforms while the pricing page lists four included engines plus three add-ons.
Most detailed feature and pricing evidence is vendor-controlled. Independent reviews generally corroborate citation-tab, competitor, and prompt-monitoring functionality, but no controlled accuracy benchmark against other platforms was supplied. Public evidence does not verify citation precision, recall, model sampling methodology, geographic coverage, or historical-data retention in a standardized way.
Sources
Company-Owned Sources
- Comparing Citany and Otterly on AI engine coverage, Chinese market support, pricing, and citation diagnostics: https://citany.com/
- How many search prompts / keywords can I track?: https://help.otterly.ai/amount-searchprompts
- Can I export my data and reports?: https://help.otterly.ai/can-i-export-my-data-and-reports
- Do you provide an API for OtterlyAI?: https://help.otterly.ai/do-you-provide-an-api-for-otterlyai
- What are the plans and the pricing of OtterlyAI?: https://help.otterly.ai/pricing-of-otterlyai
- Otterly.ai — AI Search Monitoring: https://otterly.ai
- AI Search Citations: How to Track, Compare & Win Them (New OtterlyAI Update: https://otterly.ai/blog/ai-search-citations-tracking-update/
- The AI Citation Economy: What 1+ Million Data Points Reveal: https://otterly.ai/blog/the-ai-citations-report-2026/
- OtterlyAI Features: AI Search Monitoring Tool: https://otterly.ai/features
- AI Search Analytics: Track Mentions & Citations | OtterlyAI: https://otterly.ai/features/ai-search-analytics
- OtterlyAI Pricing - Transparent & Simple: https://otterly.ai/pricing/
- AI Search Pricing Calculator for OtterlyAI: https://otterly.ai/pricingcalc/
- Official pricing and terms source: https://otterly.ai/terms
Additional AI research evidence109 records
- AI research evidence record deepseek:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record openai:c5
- AI research evidence record anthropic:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:c9
- AI research evidence record anthropic:c6
- AI research evidence record anthropic:c7
- AI research evidence record perplexity:c1
- AI research evidence record grok:0
- AI research evidence record anthropic:c4
- AI research evidence record anthropic:c5
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:c1
- AI research evidence record anthropic:c2
- AI research evidence record grok:0
- AI research evidence record grok:4
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c5
- AI research evidence record grok:7
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c4
- AI research evidence record grok:5
- AI research evidence record anthropic:c6
- AI research evidence record grok:1
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record anthropic:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:citany-comparison-2026
- AI research evidence record anthropic:c6
- AI research evidence record deepseek:c3
- AI research evidence record openai:c2
- AI research evidence record grok:1
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record deepseek:c4
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record grok:4
- AI research evidence record grok:7
- AI research evidence record anthropic:c2
- AI research evidence record anthropic:c8
- AI research evidence record anthropic:c9
- AI research evidence record anthropic:c3
- AI research evidence record openai:c1
- AI research evidence record anthropic:c6
- AI research evidence record grok:1
- AI research evidence record anthropic:c7
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record kimi:citany-comparison-2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:c2
- AI research evidence record grok:5
- AI research evidence record anthropic:c6
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c9
- AI research evidence record grok:1
- AI research evidence record anthropic:c4
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:c1
- AI research evidence record grok:0
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:c2
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record kimi:citany-comparison-2026
- AI research evidence record anthropic:c2
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:c1
- AI research evidence record anthropic:c5
- AI research evidence record anthropic:c8
- AI research evidence record anthropic:c9
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c6
- AI research evidence record deepseek:c3
- AI research evidence record kimi:citany-comparison-2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c3
- AI research evidence record kimi:citany-comparison-2026
Independent Sources
- Otterly.ai Review 2026: Pricing, GEO Features & Who It's For: https://aiagentsquare.com/agents/otterly-ai
- Otterly.ai Review (2026): Cheapest Self-Serve AI Visibility Tool?: https://citedaily.com/reviews/otterly-ai
- OtterlyAI: Copilot, llms.txt and local tracking: https://citedindex.com/otterly-ai
- Otterly.ai Review (2026): Pricing, Features & Alternatives: https://maxaeo.ai/ai-tools/tool/otterly-ai/
- Otterly.AI Review (2026): Features, Pricing, and Top Alternatives: https://meev.ai/reviews/otterly
- Otterly.AI Review (2026): Tested Hands-On: https://organikpi.com/blog/reviews/otterly-ai-review/
- OtterlyAI Pricing & Plans: https://slateindex.ai/products/otterlyai/pricing
- Otterly.AI Pricing 2026: $29 Lite to Custom Enterprise: https://thatmarketingbuddy.com/pricing/otterly-ai
- Otterly AI review 2026: features, pricing, and who it's for: https://visible.seranking.com/blog/otterly-ai-review/
- Otterly.ai Review and Pricing Overview: https://www.futurepedia.io/tool/otterlyai
- OtterlyAI Pricing 2026: https://www.g2.com/products/otterlyai/pricing
- Otterly.ai — AI Search Visibility Tool Overview: https://www.toolify.ai/tool/otterly-ai
Additional AI research evidence109 records
- AI research evidence record deepseek:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record openai:c5
- AI research evidence record anthropic:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:c9
- AI research evidence record anthropic:c6
- AI research evidence record anthropic:c7
- AI research evidence record perplexity:c1
- AI research evidence record grok:0
- AI research evidence record anthropic:c4
- AI research evidence record anthropic:c5
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:c1
- AI research evidence record anthropic:c2
- AI research evidence record grok:0
- AI research evidence record grok:4
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c5
- AI research evidence record grok:7
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c4
- AI research evidence record grok:5
- AI research evidence record anthropic:c6
- AI research evidence record grok:1
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record anthropic:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:citany-comparison-2026
- AI research evidence record anthropic:c6
- AI research evidence record deepseek:c3
- AI research evidence record openai:c2
- AI research evidence record grok:1
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record deepseek:c4
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record grok:4
- AI research evidence record grok:7
- AI research evidence record anthropic:c2
- AI research evidence record anthropic:c8
- AI research evidence record anthropic:c9
- AI research evidence record anthropic:c3
- AI research evidence record openai:c1
- AI research evidence record anthropic:c6
- AI research evidence record grok:1
- AI research evidence record anthropic:c7
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c2
- AI research evidence record kimi:citany-comparison-2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:c2
- AI research evidence record grok:5
- AI research evidence record anthropic:c6
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c9
- AI research evidence record grok:1
- AI research evidence record anthropic:c4
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:c1
- AI research evidence record grok:0
- AI research evidence record openai:c4
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:c2
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record kimi:citany-comparison-2026
- AI research evidence record anthropic:c2
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:c1
- AI research evidence record anthropic:c5
- AI research evidence record anthropic:c8
- AI research evidence record anthropic:c9
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c6
- AI research evidence record deepseek:c3
- AI research evidence record kimi:citany-comparison-2026
- AI research evidence record openai:c1
- AI research evidence record anthropic:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c3
- AI research evidence record kimi:citany-comparison-2026
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
- 26
- Ranking mentions
- 5 of 7
- Platform share
- 71%
- Final consensus rank
- #3
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
12 independent · 14 company-owned
Evidence support
12 direct · 13 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 443ed4c0b60654b98af90b7ceafa1bd02cc81cb569450a8173a5ef2a7b6dc2ad