Answer Capsule
Audits.com is a qualified fit for AI Search Audit Services for Executive and Board Reporting, but with material diligence conditions. Two of seven platforms named Audits.com during the ranking stage — grok and perplexity — giving it a 28.6% share of included platform responses, an average listed rank of 5.5, and a best listed rank of 4. The strongest reason to consider it is that its AI & LLM SEO Audits service explicitly targets board-level clarity, quantified AI search exposure, share-of-voice monitoring, and leadership education. The main limitation is transparency: no public pricing, no published board-report samples, no independent validation of its proprietary measurement technology, and conflicting platform fit ratings ranging from "strong" to "uncertain."
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (grok, perplexity) |
| Share of included platform responses | 28.6% |
| Average listed rank | 5.5 |
| Best listed rank | 4 (grok) |
| Relevant product/model/plan | AI & LLM SEO Audits; AI Search Technical Audit |
| Overall use-case fit | Qualified fit — consultative strength, transparency gaps |
| Research date | 2026-09-18 |
Why Audits.com Qualified for This Study
Questions This Section Answers
- Is Audits.com a legitimate contender for AI Search Audit Services for Executive and Board Reporting?
- How many AI platforms actually named Audits.com when asked to recommend providers for board-level AI search reporting?
Audits.com qualified because two independent platforms — grok and perplexity — named it during ranking discovery for a prompt asking which AI search audit or intelligence providers suit a senior leadership team needing board-communicable assessments [1]. That is a 28.6% share of the seven included platform responses, above the study's two-mention minimum but well short of unanimous recognition.
The qualification rests on a specific capability match rather than general brand recognition. Audits.com publicly describes an AI & LLM SEO Audit that includes board-level clarity, quantified AI search exposure, share-of-voice monitoring, and leadership education [3]. Its public research pages describe repeated prompting across multiple engines and markets, including a United States savings study [4].
Qualification is not endorsement. Five of seven platforms did not name Audits.com in the ranking stage, and the platforms that did evaluate it disagreed sharply on fit. Buyers should treat this as a shortlist candidate requiring direct verification, not a settled recommendation.
The Product, Model, Plan, or Service Most Relevant to AI Search Audit Services for Executive and Board Reporting
Questions This Section Answers
- Which Audits.com service should a buyer request if they need board-ready AI search risk and competitive reporting?
- Is the Audits.com AI Search Technical Audit the same thing as the AI & LLM SEO Audit, or are they separate purchases?
The relevant offering is the AI & LLM SEO Audit, sometimes labeled the AI & LLM Search Audit or AI & LLM SEO Consultancy, alongside a named AI Search Technical Audit [6]. All seven platforms converged on essentially the same product name, which is unusual agreement given how much else they disputed.
The scope described in company materials includes AI crawler crawlability and rendering assessment, bot-log monitoring, AI answer eligibility, structured data for AI systems, entity clarity, E-E-A-T signals, and query redirection [6]. The company states it tracks brand appearance across Google AI Mode, ChatGPT Search, and Perplexity for share-of-voice monitoring [12].
A naming conflict is unresolved. Platforms described overlapping labels — AI & LLM SEO Audit, AI Search Technical Audit, AI & LLM SEO Consultancy, and AI Search Visibility Tracker — without clarifying which is the purchased deliverable [6]. Kimi explicitly flagged that it could not determine whether the AI Search Technical Audit is a separate service or a subset of the broader audit [15]. Buyers should confirm the exact deliverable before signing.
What the AI Platforms Agreed About
Questions This Section Answers
- What do multiple AI platforms agree Audits.com actually delivers for executive and board reporting?
- Does Audits.com measure citation share and competitive position, or only technical SEO readiness?
Agreement was strong on capability claims and weak on evidence quality. Four platforms — openai, anthropic, grok, and google — independently described board-level or executive-facing reporting as part of the offering [16]. Google stated the consultancy explicitly includes "Leadership Education & Realistic Expectations" as a named service component [19].
Platforms also agreed that Audits.com measures competitive visibility rather than only technical readiness. OpenAI, anthropic, and google all described share-of-voice tracking across Google AI Mode, ChatGPT Search, and Perplexity, with competitor benchmarking [21]. OpenAI and anthropic both described citation-share analysis identifying which sites win AI citations [24].
A third area of agreement was the consultative model. Platforms consistently described a senior-led engagement rather than a self-service dashboard, with work led by consultants with vertical experience rather than generalists applying templates [26].
Critically, all of this agreement traces back to company-owned pages. No platform located independent validation of the measurement framework, and the citation catalog confirms company-owned sources outnumber independent sources 19 to 6. Agreement among platforms about what a vendor's website says is not evidence that the vendor's claims are accurate.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why did some AI platforms rate Audits.com as a strong fit while others rated it uncertain?
- Is Audits.com's board-reporting capability verified or assumed?
Fit ratings diverged more than any other dimension. Google and grok rated Audits.com a strong fit (google, grok). OpenAI rated it good (openai). Anthropic and perplexity rated it mixed (anthropic, perplexity). Deepseek and kimi rated it uncertain (deepseek, kimi). That spread — from strong to uncertain across seven platforms evaluating the same vendor for the same use case — is the single most important finding in this review.
The disagreement centers on board-reporting evidence. Google asserted the firm conducts organic due diligence and competitive risk framing for PE and VC firms [29]. Anthropic countered that no public materials specify board report templates, executive dashboard formats, delivery cadence, or whether reports are pre-formatted for audit committee presentation [30]. Perplexity reached a similar conclusion, stating the site copy checked does not clearly prove a board-ready reporting package [32].
Pricing produced a second cluster of uncertainty. Grok reported fixed-fee audit projects and monthly retainers for fractional leadership, with pricing discussed on a call [34]. OpenAI and perplexity confirmed the fixed-fee structure but found no published rates [35]. Anthropic estimated a likely $3,000–$10,000+ positioning based on market benchmarks, explicitly labeling this an inference rather than a disclosed price [36].
Two further conflicts deserve disclosure. Deepseek's research ran on 2026-06-12, roughly three months before the authoritative study date, and its model ran without search enabled — its findings are platform-reported and may be stale (deepseek). Kimi retrieved no corroborating source content for the entity at all and stated Audits.com "cannot be assessed" on the supplied evidence [38]. The deterministic identity audit also flagged that one or more fetched domains were not corroborated by brand name or site identity metadata.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Audits.com quantify revenue exposure from AI search, or only report visibility metrics?
- Which AI search surfaces does Audits.com audit for board reporting purposes?
For board-facing buyers, the most relevant capability is risk quantification. Company materials state the audit maps which high-value queries trigger AI Overviews, estimates the percentage of organic traffic and revenue at risk, and assesses whether the trend is accelerating [39]. Anthropic characterized this as an advantage because it addresses traffic displacement as a material board-level risk rather than a technical concern [39].
Competitive positioning intelligence is the second pillar. The service tracks brand appearance across Google AI Mode, ChatGPT Search, and Perplexity, monitors prompts and model outputs, and identifies where the brand appears, where it is absent, and how to close gaps [41]. Google described engine agreement metrics showing which brands win recommendations [43].
Source intelligence extends to the underlying data layer. Google reported that custom tools include Knowledge Graph Search cross-referencing brand profiles against Wikipedia, Wikidata, and Common Crawl [44]. OpenAI described citation classification identifying which websites win citations, with public research reporting citation concentration in affiliate and comparison sites [45].
Historical context is the weakest pillar. Audits.com states it monitors share of voice over time and keeps an audit trail of what changed and when [46]. But no platform could establish the length, completeness, retention period, or comparability of historical data for a specific client [46]. Buyers needing multi-year trend lines should verify this directly.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does an Audits.com AI & LLM SEO Audit cost, and is any price published?
- Are there setup fees, minimum terms, or cancellation penalties in an Audits.com engagement?
No public price exists for the AI & LLM SEO Audit or AI Search Technical Audit. Audits.com states that diagnostic and audit projects are fixed-fee and scoped to domain complexity and competitive landscape, specialist consulting is project-priced, and fractional leadership is monthly retainer-based [48]. The amount is disclosed only after scoping.
Independent market benchmarks provide context but not a quote. One independent source places professional AI search audit pricing from $500 for basic automated scans to $5,000+ for comprehensive consulting-led audits [51]. Another reports scoped AI audit and implementation work commonly landing in five figures, with retainers from a few thousand to tens of thousands per month [52]. These are market ranges, not Audits.com rates, and should not be presented to procurement as the vendor's price.
Contract terms are undocumented. No platform found public information on minimum engagement duration, deposits, renewal conditions, cancellation notice, or service-level agreements [48]. The initial consultation is described as a no-obligation 30-minute conversation [48].
Additional fees are unclear. Whether model or API usage, additional markets, additional domains, expanded prompt sets, implementation support, dashboard access, or recurring monitoring carry separate charges was not established by any platform [48]. Google noted custom software and tracking setup fees may apply depending on scope [54]. Pricing confidence across platforms was low to moderate.
Best Suited For
Questions This Section Answers
- Who gets the most value from Audits.com for board-level AI search reporting?
- Is Audits.com a good choice for a PE or VC firm assessing AI search risk in a portfolio company?
Audits.com is best suited to executives, CMOs, CTOs, investors, and board-facing teams that need a concise AI search risk and opportunity assessment rather than a dashboard subscription (openai, anthropic). The service fits organizations that want strategic interpretation and prioritized recommendations, and that are willing to purchase a custom audit or ongoing consultancy engagement (openai).
Vertical depth matters here. Audits.com states it serves financial services, ecommerce, marketplaces, travel, SaaS, and iGaming with commercial context specific to each vertical [55]. Google reported the firm advises VC and PE firms on organic due diligence, portfolio growth, and competitive benchmarking through senior leadership [56].
Buyers who value senior-led interpretation over automated output are the strongest match. Platforms consistently described consultant-led positioning with prioritized roadmaps tied to commercial outcomes rather than long technical checklists [57]. Organizations with in-house or external leadership able to translate audit findings into strategic narratives will extract more value than teams expecting a finished board deck.
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Audits.com for AI Search Audit Services for Executive and Board Reporting?
- Is Audits.com suitable for a buyer with a fixed budget under $3,000?
Buyers requiring transparent list pricing, standardized deliverables, guaranteed reporting frequency, or fixed service-level commitments should look elsewhere (openai). No platform found published rates, cadence commitments, or SLA terms.
Boards or audit committees needing standalone, pre-templated board reporting without consulting integration are a poor match (anthropic). Anthropic specifically flagged that board fit relies on the services team translating SEO audit findings into governance-level narratives, rather than delivering a pre-built governance artifact [60].
Teams wanting a self-service platform with scheduled, push-button executive dashboards should not choose a services engagement (anthropic, perplexity). Buyers with fixed, modest budgets under $3,000 wanting basic automated AI visibility scans are better served by low-cost tools (anthropic). Organizations needing rapid automated monitoring across multiple brands for agency-facing work will find the consultative model slow and expensive (anthropic).
Boards requiring long-term historical trend data across many years should also exercise caution, since the publicly described AI monitoring evidence appears relatively recent (openai).
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Audits.com if the buyer needs published pricing and a self-service dashboard?
- When should a buyer choose a SaaS AI visibility platform instead of an Audits.com consulting engagement?
Choose a self-service AI-search analytics platform when the buyer prioritizes published pricing, continuous internal access, standardized dashboards, and operational monitoring (openai). Named alternatives include Profound, Amadora AI, and Otterly.AI for ongoing AI visibility monitoring (anthropic).
Choose a vendor with explicit board reporting artifacts when the buyer needs standardized executive decks, KPI rollups, and governance-ready findings (perplexity). Kimi named several competitors with published deliverables and pricing: Mihir Naik at a fixed $3,000 with board-ready documents, Indexable AI with a CFO-ready composite score and 14-day delivery, Logarithmic with an 18–24 page report, MonitorAEO at $29–$79, Presenc AI with six-factor scoring, and MassMonopoly with tiered pricing from $497 to $2,497 [61]. These are competitor-published claims, not independently verified.
Choose a larger enterprise SEO or analytics consultancy when the engagement requires multi-country governance, procurement maturity, formal SLAs, implementation capacity, or integration with existing reporting systems (openai). Choose an independent research or market-intelligence provider when the board requires third-party methodology and documented sampling controls (openai). Choose an internal analytics-led project when the organization already has reliable prompt datasets, model access, and SEO engineering resources (openai).
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Audits.com before signing a contract for board-level AI search reporting?
- Can Audits.com provide anonymized sample board reports before purchase?
The verification list below consolidates the open items every platform flagged. None of these were resolvable from public evidence.
- What exact deliverables are included in the AI & LLM SEO Audit versus the AI Search Technical Audit? (openai, kimi)
- Will the report quantify recommendation share, citation share, competitor position, source categories, engine agreement, and uncertainty? (openai)
- Which US prompts, product categories, competitors, locations, languages, and customer segments will be included? (openai)
- Which models and search surfaces will be tested, and how are model-version changes handled? (openai)
- How many runs per prompt are performed, over what period, and how are results normalized? (openai)
- How are citations classified, deduplicated, and attributed to domains or source types? (openai)
- What historical data is available before the engagement, and how long will results remain accessible? (openai)
- Does the fee include recurring monitoring, dashboard access, executive presentation support, and follow-up measurement? (openai)
- What are the payment, renewal, cancellation, confidentiality, data-retention, and intellectual-property terms? (openai)
- Can Audits.com provide anonymized sample board reports and clarify which claims are measured versus modeled? (openai)
- What independent or client-verifiable evidence supports the accuracy and repeatability of the measurement framework? (openai)
- Does the firm have documented examples of board-level or audit committee reports it has delivered? (anthropic)
- What is the consultant-to-project ratio, and will a senior SEO leader own the engagement? (anthropic)
- Can the firm provide references from board-facing engagements in your specific vertical? (anthropic)
- How does the proprietary tracker handle localized US queries down to regional levels? (google)
- Can executive reporting dashboards be customized to match specific board slide templates? (google)
Final AI Consensus Verdict
Audits.com is a qualified fit for AI Search Audit Services for Executive and Board Reporting, conditional on direct verification of scope, pricing, and board-deliverable format. Two of seven platforms named it during ranking discovery, and fit ratings ranged from strong (google, grok) to good (openai) to mixed (anthropic, perplexity) to uncertain (deepseek, kimi).
The case for consideration is genuine: explicit board-level exposure assessment, share-of-voice and citation-share monitoring across Google AI Mode, ChatGPT Search, and Perplexity, vertical depth in financial services and SaaS, and senior-led interpretation rather than template output [66]. The case for caution is equally genuine: no published pricing, no public board-report samples, no independent validation of the proprietary measurement framework, and unresolved questions about historical data depth and reporting cadence (openai, anthropic, perplexity).
The decision hinges on whether the buyer values a senior consultant-led diagnostic — Audits.com's demonstrated strength — or a self-service, repeatable, scheduled reporting platform, where SaaS alternatives are stronger. Buyers should request a sample board report, a scoped price for their company size, and references from board-facing engagements before committing. This review is part of a broader AI Search Audit Services for Executive and Board Reporting consensus study covering multiple providers.
How This Review Was Produced
This review synthesizes responses from seven AI platforms — openai, anthropic, google, grok, perplexity, deepseek, and kimi — each asked which AI search audit or intelligence providers they would recommend to a senior leadership team needing board-communicable assessments. Platforms evaluated Audits.com against recommendation share, competitive position, citation share, source intelligence, historical context, material risks, and prioritized strategic opportunities.
Audits.com was named during ranking discovery by two of seven platforms, producing a 28.6% share of included platform responses, an average listed rank of 5.5, and a best listed rank of 4. Fit ratings, capability findings, pricing details, and verification questions were extracted from each platform's structured response. All platform outputs are platform-reported and were not independently verified by the writer stage. The study date is 2026-09-18.
Methodology Limitations
Several limitations materially affect how this review should be read.
Company-owned citations dominate the evidence base. Of 25 deduplicated sources, 19 are company-owned and 6 are independent. Most capability claims trace to Audits.com's own service pages, tools pages, and company-produced research. These support capability claims but are not independent verification of performance, accuracy, or customer outcomes (openai).
Platform research dates differ from the authoritative study date. Deepseek's research ran on 2026-06-12, roughly three months earlier, and its model ran without search enabled (deepseek). Platform-reported dates are provenance metadata and do not independently prove freshness.
One platform retrieved no corroborating content. Kimi stated the entity name and URL were supplied but no corroborating source content was retrieved, and concluded Audits.com could not be assessed on the available evidence [69]. The deterministic identity audit also flagged that one or more fetched domains were not corroborated by brand name or site identity metadata.
Product naming is inconsistent across sources. Overlapping labels — AI & LLM SEO Audit, AI Search Technical Audit, AI & LLM SEO Consultancy, and AI Search Visibility Tracker — were used without clarifying which is the purchased deliverable (openai, perplexity, google).
No pricing, contract terms, or service levels are publicly documented. Market benchmark ranges cited in this review come from independent sources describing the broader market, not Audits.com specifically, and should not be treated as the vendor's rates [70].
Agreement among AI platforms about what a vendor's website states does not establish product quality, measurement accuracy, or delivery reliability. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
Explore more ai search audits market intelligence guidance in the category directory.
Sources
Company-Owned Sources
- SEO Audits & Enterprise SEO Consulting | Audits.com: https://audits.com/
- AI Search Landscape: Financial Products - Audits.com: https://audits.com/ai-index/
- US Savings: Share of Voice in AI Search | Audits.com: https://audits.com/ai-index/us-savings/
- Contact Audits.com - Speak Directly with Carl: https://audits.com/contact/
- SEO Consultancy & Audit Services | Audits.com: https://audits.com/seo/
- AI & LLM SEO Audits - AI Mode & AI Search | Audits.com: https://audits.com/seo/ai-seo/
- AI SEO Audits: https://audits.com/seo/kb/ai-seo/
- SEO Share of Voice Audits & Competitor Analysis | Audits.com: https://audits.com/seo/share-of-voice/
- SEO Technology and Tools | Audits.com: https://audits.com/tools/
- AI Search Audit | GEO Audit for Enterprise Brands — 14-Day Diagnostic | Indexable AI: https://indexableai.com/ai-search-audit/
- AI Visibility Audit Service | Presenc AI: https://presenc.ai/use-cases/ai-visibility-audit-service
- AI Visibility Audits — GAIO Deficit Reports | RankBee: https://rankbee.ai/audits
- AI Search Landscape: Financial Products - Audits.com: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQE1fc4tpehBBkvLX7MuzhMUMvSqT61NubSrwWfCx016R53-WqYmNvA32EBSWbyBt_Bvc0yPknW--HC1ZSVzCd8QciYFyEHpDBWjKwiqJUtuP8iA
- GEO Audit by Logarithmic: https://www.logarithmic.com/geo-audit
- AI Search Visibility Audit ($3,000) | Mihir Naik: https://www.mihirnaik.com/services/ai-search-visibility-audit
- Audit — AI visibility diagnostic | monitoraeo: https://www.monitoraeo.com/product/audit
Additional AI research evidence71 records
- AI research evidence record grok:0
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record google:1.2.3
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-2
- AI research evidence record anthropic:2-3
- AI research evidence record anthropic:2-5
- AI research evidence record anthropic:11-10
- AI research evidence record google:1.3.2
- AI research evidence record kimi:audits_com_1
- AI research evidence record openai:c1
- AI research evidence record anthropic:5-3
- AI research evidence record grok:0
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:11-12
- AI research evidence record openai:c2
- AI research evidence record anthropic:11-11
- AI research evidence record google:1.1.1
- AI research evidence record openai:c4
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:5-14
- AI research evidence record anthropic:3-9
- AI research evidence record google:1.3.4
- AI research evidence record google:1.3.4
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:5-6
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record grok:1
- AI research evidence record openai:c6
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:18-2
- AI research evidence record kimi:audits_com_1
- AI research evidence record anthropic:11-4
- AI research evidence record anthropic:11-5
- AI research evidence record anthropic:11-10
- AI research evidence record anthropic:11-11
- AI research evidence record google:1.1.1
- AI research evidence record google:1.3.2
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record perplexity:c5
- AI research evidence record openai:c6
- AI research evidence record grok:1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:18-2
- AI research evidence record anthropic:5-3
- AI research evidence record google:1.2.3
- AI research evidence record anthropic:3-1
- AI research evidence record google:1.3.4
- AI research evidence record anthropic:5-6
- AI research evidence record anthropic:5-14
- AI research evidence record grok:0
- AI research evidence record anthropic:5-3
- AI research evidence record kimi:mihirnaik_1
- AI research evidence record kimi:indexableai_1
- AI research evidence record kimi:logarithmic_1
- AI research evidence record kimi:monitoraeo_1
- AI research evidence record kimi:presenc_1
- AI research evidence record openai:c1
- AI research evidence record anthropic:3-1
- AI research evidence record google:1.1.1
- AI research evidence record kimi:audits_com_1
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:18-2
Independent Sources
- What AI Search Audits Can Tell You About Your Site: https://ipullrank.com/ai-search-audit
- SEO Audit Service 2026: Complete Guide to Costs, Process & Choosing the Right Provider — Rebirth Distribution: https://rebirthdistribution.com/seo-audit-service-2026
- What Does an AI Visibility Audit Cost? A 2026 Pricing Guide | Sparkle Technologies: https://sparkletechnologies.com/blog/what-an-ai-visibility-audit-costs
- AI Search Audit Services | Benchmark AI Visibility | Fratzke: https://www.fratzkemedia.com/solutions/ai-search-audit
- How Much Does an AI Visibility Audit Cost in 2026?: https://www.lovedby.ai/blog/how-much-does-an-ai-visibility-audit-cost
- How to conduct an AI search audit| Wix Studio AI Search Lab: https://www.wix.com/studio/ai-search-lab/ai-search-audit
Additional AI research evidence71 records
- AI research evidence record grok:0
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record google:1.2.3
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-2
- AI research evidence record anthropic:2-3
- AI research evidence record anthropic:2-5
- AI research evidence record anthropic:11-10
- AI research evidence record google:1.3.2
- AI research evidence record kimi:audits_com_1
- AI research evidence record openai:c1
- AI research evidence record anthropic:5-3
- AI research evidence record grok:0
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:11-12
- AI research evidence record openai:c2
- AI research evidence record anthropic:11-11
- AI research evidence record google:1.1.1
- AI research evidence record openai:c4
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:5-14
- AI research evidence record anthropic:3-9
- AI research evidence record google:1.3.4
- AI research evidence record google:1.3.4
- AI research evidence record anthropic:5-3
- AI research evidence record anthropic:5-6
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record grok:1
- AI research evidence record openai:c6
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:18-2
- AI research evidence record kimi:audits_com_1
- AI research evidence record anthropic:11-4
- AI research evidence record anthropic:11-5
- AI research evidence record anthropic:11-10
- AI research evidence record anthropic:11-11
- AI research evidence record google:1.1.1
- AI research evidence record google:1.3.2
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record perplexity:c5
- AI research evidence record openai:c6
- AI research evidence record grok:1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:18-2
- AI research evidence record anthropic:5-3
- AI research evidence record google:1.2.3
- AI research evidence record anthropic:3-1
- AI research evidence record google:1.3.4
- AI research evidence record anthropic:5-6
- AI research evidence record anthropic:5-14
- AI research evidence record grok:0
- AI research evidence record anthropic:5-3
- AI research evidence record kimi:mihirnaik_1
- AI research evidence record kimi:indexableai_1
- AI research evidence record kimi:logarithmic_1
- AI research evidence record kimi:monitoraeo_1
- AI research evidence record kimi:presenc_1
- AI research evidence record openai:c1
- AI research evidence record anthropic:3-1
- AI research evidence record google:1.1.1
- AI research evidence record kimi:audits_com_1
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:18-2
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
- 25
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #6
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
6 independent · 19 company-owned
Evidence support
18 direct · 7 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 8e49089a8ea6356b432c9436497d001bb9059afd17b48d99384990fabf33e6af