Answer Capsule
MonitorAEO is a mixed fit for buyers seeking an AI search audit and market-intelligence partner for strategy and execution. Two of the seven platforms in this study named MonitorAEO during the ranking stage (anthropic, kimi), and it finished eighth overall with an average listed rank of 5.5. Its strongest reason to consider it is a low-cost, fast, five-engine Full Audit at $79 one-off that measures brand mentions, domain citations, competitor share of voice, hallucination flags, and 15 technical GEO checks, with Full Monitoring at $95/month for recurring tracking. The main limitation is that no supplied evidence documents human strategic interpretation, custom large-scale prompt research, executive reporting, or implementation services.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (anthropic, kimi) |
| Share of included platform responses | 28.6% |
| Average listed rank | 5.5 |
| Best listed rank | 5 (kimi) |
| Relevant product/model/plan | Full Audit — $79 one-off (5 engines, 40 queries, 200 AI answers); Full Monitoring — $95/month |
| Overall use-case fit | Mixed |
| Research date | 2026-09-18 |
Why MonitorAEO Qualified for This Study
Questions This Section Answers
- Is MonitorAEO a good choice for AI Search Audit and Market Intelligence Partners for Strategy and Execution?
- Why did only two of seven AI platforms name MonitorAEO for this use case?
MonitorAEO qualified because it was named by two of the seven platforms during ranking discovery and because its published product directly addresses several criteria in this use case: a multi-engine audit, recommendation and citation measurement, competitor benchmarking, source mapping, and a prioritized action plan [1]. It cleared the study's minimum-mention threshold of two platforms, which is why it appears here rather than being excluded.
The qualification is narrow. MonitorAEO was named by anthropic and kimi only, giving it a 28.6% share of included platform responses and an average listed rank of 5.5 across those two lists. It did not appear in the ranking-stage outputs from openai, deepseek, grok, perplexity, or google, even though all seven platforms evaluated its fit for this use case. That split matters: the platforms that did not name it still produced detailed fit assessments, and several of those assessments were more skeptical than the ones that ranked it.
The strongest qualification signal is product-to-criteria overlap. The Full Audit tests five engines — Google AI Overviews, ChatGPT, Claude, Perplexity, and Gemini — across 40 buyer-facing queries, producing 200 AI answers, and reports brand mentions, domain citations, visibility by engine and query type, competitor share of voice, sentiment, accuracy, hallucination flags, cited-source domains, and per-query evidence [1]. It also includes 15 site-level GEO checks covering items such as robots.txt, sitemap, llms.txt, schema, server-rendered content, metadata, and performance [1].
The weakest qualification signal is the strategy-and-execution half of the use case. The documented deliverable is a Claude-generated prioritized action plan split into content, schema, and entity fixes with rationale and next steps [7]. No supplied source documents human analyst review, custom research design, executive workshops, content production, technical deployment, or managed implementation.
The Product, Model, Plan, or Service Most Relevant to AI Search Audit and Market Intelligence Partners for Strategy and Execution
Questions This Section Answers
- Which MonitorAEO plan should a buyer choose for a one-off AI search audit versus recurring market intelligence?
- Does MonitorAEO's Full Audit cover enough AI engines and queries for a strategy and execution engagement?
The relevant offer is the Full Audit at $79 one-off, with Full Monitoring at $95/month as the recurring companion [10]. The Full Audit covers all five engines — Google AI Overviews, ChatGPT, Claude, Perplexity, and Gemini — running 40 buyer-facing queries per engine for 200 AI answers, and includes an engine heatmap, per-engine sentiment and accuracy scoring, and the full prioritized action plan [14].
A cheaper Two Engine Audit at $29 one-off covers Google AI Overviews and ChatGPT only, producing 80 AI answers, and a free preview runs 8 questions on Google AI Overviews with no card or signup [11]. Full Monitoring includes the Full Audit, monthly five-engine reruns, 40 monitored questions that are editable, per-engine trend charts for visibility, citations, sentiment, accuracy, and hallucinations, competitor and source-change tracking, one extra manual rerun per month, and unlimited brands plus team invites [16].
For this use case specifically, the Full Audit is the only tier that matches the buyer's stated need for coverage across AI search, generative-answer, and recommendation platforms [17]. The Two Engine tier is a cost-saving subset, not a substitute. Monitoring is the only documented mechanism for historical tracking, and it reruns the same 40-question matrix monthly rather than expanding research scope [16].
One naming conflict should be flagged. The ranking-stage description supplied for this study names the Full Audit at $79 and Monitoring as the recurring option, while MonitorAEO's current public pages additionally show a $29 Two Engine Audit and $35/month Two Engine Monitoring [19]. These are consistent at the starting-price level but do not constitute a complete contract record, and buyers should confirm the exact tier names and prices at checkout [20].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree MonitorAEO does well for AI search audits?
- Is MonitorAEO's five-engine coverage considered adequate for AI visibility measurement?
The clearest cross-platform agreement is on measurement breadth at a low price. Platforms that ranked MonitorAEO and platforms that did not both describe the same core capability: five-engine coverage, 40 buyer-facing queries, 200 AI answers, brand-mention and domain-citation measurement, competitor share of voice, hallucination and accuracy scoring, and a prioritized action plan [22].
A second area of agreement is that MonitorAEO measures two distinct signals: the brands named in the AI's prose and the source links cited underneath [28]. Multiple platforms described this dual measurement as directly relevant to the buyer's requirement for recommendation and citation measurement [31].
A third agreement is on speed and accessibility. A paid audit runs in roughly 5–10 minutes because it queries 40 questions across multiple engines in parallel and then applies a second-pass LLM scoring step for sentiment, accuracy, and hallucination flags [33]. The free preview runs in about 30 seconds [33].
A fourth agreement is that MonitorAEO is self-service software rather than a consulting engagement. Platforms described the action plan as automated and Claude-generated rather than analyst-authored [35]. No supplied source documents human strategic review, workshops, or implementation services.
Agreement among AI platforms is not evidence of product quality. It reflects that the platforms read the same company-owned pages and reached similar descriptions of the published offer.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why do AI platforms disagree about whether MonitorAEO fits a strategy and execution engagement?
- Is MonitorAEO a strong fit or a weak fit for market intelligence, according to the platforms?
Fit ratings diverged sharply. Grok rated MonitorAEO a strong fit, calling the Full Audit a direct match for audit, citation, benchmarking, and strategic action requirements [36]. Google and perplexity rated it good, with both noting it is not clearly a full-service strategy-and-execution partner [37]. OpenAI, anthropic, and kimi rated it mixed, each concluding it is a tactical tool rather than a strategic partner [39]. DeepSeek rated it uncertain, noting that no independent review, analyst coverage, or third-party benchmark of audit accuracy was located [42].
The disagreement centers on whether the action plan counts as strategic interpretation. Grok treated the prioritized plan as satisfying the strategy requirement [36]. Anthropic and kimi treated it as a tactical execution checklist rather than executive scorecards, trend narratives, or strategic recommendations [40]. OpenAI described it as platform-generated guidance rather than demonstrated human consulting [39].
Uncertainty clusters around four items. First, whether any human review, consulting, implementation, or account management is included is not clarified in public materials [39]. Second, no public evidence verifies independent validation of engine coverage, scraping stability, scoring accuracy, sampling methodology, or reproducibility [39]. Third, sentiment and hallucination scoring methodology is mentioned but not explained, including how scores are weighted [44]. Fourth, whether the 40-question set is customizable per client or is a fixed template is unclear [41].
Two additional conflicts are worth naming. MonitorAEO's site states both that monitoring reruns monthly and that AI engines can change daily, so trend data should be treated as sampled directional evidence rather than a complete census [46]. And the terms state that one-off audits are charged once while monitoring is a recurring subscription billed monthly or annually, but no public cancellation, refund, minimum-term, or SLA terms were clearly verified beyond the 14-day audit refund window [47].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does MonitorAEO provide citation architecture analysis and source intelligence for AI search audits?
- Can MonitorAEO support large-scale prompt research beyond 40 buyer questions?
MonitorAEO covers roughly half of this use case's criteria well and leaves the other half undocumented. The table below maps each stated criterion to the supplied evidence.
| Use-case criterion | MonitorAEO evidence | Assessment |
|---|---|---|
| Rigorous audit | 5 engines, 40 queries, 200 AI answers, per-query evidence | Advantage, but bounded sample |
| Large-scale prompt research | Fixed 40-question matrix; no documented custom prompt programs | Limitation |
| Recommendation and citation measurement | Brand mentions in prose plus cited source links, per engine and query | Advantage |
| Competitor benchmarking | Competitor share of voice and engine heatmap by query type | Partial; no structured benchmarking workflow |
| Citation architecture analysis | Top-cited source map of 20 domains framed as a PR target list | Partial; no gap-to-content-pattern mapping |
| Source intelligence | Cited domain URLs captured; no domain authority or source trust scoring | Limitation |
| Historical tracking | Monthly reruns, per-engine trend charts, alerts, one manual rerun per month | Advantage, with retention caveats |
| Executive reporting | One-page email changelog, quarterly refreshed summaries, shareable dashboard | Limitation; no board-ready narratives |
| Strategic interpretation | Claude-generated prioritized action plan | Neutral; automated, not human-led |
| Implementation help | Action plan with next steps only; no managed execution documented | Limitation |
Two capability details are worth separating from the table. The audit includes 15 technical GEO checks covering robots.txt, sitemap, llms.txt, JSON-LD schema, server-rendered content, metadata, and performance, and audits are external, inspecting public pages rather than requiring first-party instrumentation [48]. That external approach removes tag or plugin deployment work but also means the audit sees only what is publicly reachable.
On the AEO versus GEO distinction, one supplied source defines AEO as helping brands appear as direct answers in AI search results while GEO concerns how generative AI platforms understand and surface brand content [51]. Anthropic assessed MonitorAEO's scope as AEO-focused, with GEO limited to the technical foundations layer rather than embedding-level or persona-level visibility [51]. MonitorAEO's own materials describe a GEO foundations check as part of paid audits [49].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does MonitorAEO cost per month, and are there setup or cancellation fees?
- What are MonitorAEO's refund and cancellation terms for a United States buyer?
Published pricing is transparent at the entry level. The Full Audit is $79 one-off, the Two Engine Audit is $29 one-off, Full Monitoring is $95/month, Two Engine Monitoring is $35/month, and a free 8-question Google AI Overviews preview requires no account [53]. Pricing confidence is high across openai, grok, kimi, and google, and moderate for anthropic and perplexity because multiple public pages give consistent starting points but not a complete contract record [56].
| Item | Price | Notes |
|---|---|---|
| Free preview | $0 | 8 questions, Google AI Overviews only, no card or signup (official:C1) |
| Two Engine Audit | $29 one-off | Google AI Overviews + ChatGPT, 80 AI answers |
| Full Audit | $79 one-off | 5 engines, 40 queries, 200 AI answers, action plan |
| Two Engine Monitoring | $35/month | Includes Two Engine Audit, monthly reruns, 20 editable questions |
| Full Monitoring | $95/month | Includes Full Audit, monthly 5-engine reruns, 40 editable questions, trend charts |
On fees and terms: applicable taxes are calculated and added by Stripe where applicable [56]. No setup or onboarding fees were noted, and no overage or per-query charges were mentioned. Agency or volume pricing is described as available by contacting MonitorAEO, but no public amount is stated [56].
Cancellation and refunds are documented in part. Monitoring can be canceled at any time, access continues through the current billing period, and cancellation is not prorated [60]. If an audit fails to run successfully, the terms state a full automatic refund applies; if it runs but is unsatisfactory, the buyer must contact support within 14 days for a rerun or refund discussion [60]. One-off audits are charged once [62].
Two contract details deserve attention. The terms are governed by New South Wales, Australia law, with disputes heard in New South Wales courts [60]. And the service is provided as-is, does not guarantee accuracy or business outcomes, and liability is capped at fees paid in the prior 12 months [60]. No public service-level commitments, uptime guarantees, or support-response targets were located [63].
Best Suited For
Questions This Section Answers
- Who gets the most value from MonitorAEO's Full Audit for AI visibility work?
- Is MonitorAEO worth it for a team that can execute GEO and AEO fixes internally?
MonitorAEO is best suited to teams that can interpret findings and execute fixes themselves. The platforms converged on three buyer profiles: companies needing an affordable first audit of AI visibility across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews; marketing, SEO, content, or growth teams that can act on findings internally; and organizations wanting recurring visibility, citation, competitor, source, and hallucination tracking without a consulting engagement [65].
A fourth profile is buyers who want a low-cost baseline before committing to a larger engagement. Multiple platforms described the audit as a fast, cheap way to validate AI extractability and citation readiness before deeper optimization investment [68]. The 5–10 minute runtime and $79 price support that use [68].
A fifth profile is teams that prefer external querying over first-party instrumentation. MonitorAEO queries engines externally rather than requiring tags or plugins, which removes deployment work [71]. Independent coverage describes MonitorAEO as an SMB-oriented scored audit plus light tracking tool with monthly reruns, which broadly matches the vendor's positioning [72].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose MonitorAEO for AI Search Audit and Market Intelligence Partners for Strategy and Execution?
- Is MonitorAEO unsuitable for enterprises that need documented methodology and service-level commitments?
MonitorAEO is probably not the right choice for buyers who need a human-led strategy partner. Companies requiring bespoke prompt research beyond the fixed 40-question matrix, buyers seeking executive workshops, implementation support, or measurable business-outcome consulting, and large enterprises needing documented methodology validation, extensive historical datasets, integrations, procurement controls, or formal service-level commitments are all poor fits on the supplied evidence [73].
Three specific exclusions recur across platforms. First, buyers needing independently validated audit methodology or named analyst credentials should look elsewhere, since no independent review, analyst coverage, or third-party benchmark of audit accuracy was located [76]. Second, procurement processes requiring vendor references, SLAs, or security documentation are not supported by any supplied source [77]. Third, organizations where 40 buyer questions cannot cover category breadth or multiple brand portfolios will hit the query ceiling [78].
A fourth exclusion concerns data retention. The privacy policy states that raw AI responses are retained for 90 days and hosted reports are accessible for 12 months, which may limit long-term historical reconstruction unless the buyer exports and archives results [79]. Anthropic separately noted that MonitorAEO's data retention policy for monitoring subscriptions is not documented, leaving unclear whether historical data persists for six months or more.
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to MonitorAEO when a buyer needs 200 or more prompts and strategic advisory?
- When should a buyer choose a done-for-you AEO service instead of MonitorAEO's self-serve audit?
Another option may be better in five situations documented by the platforms. When the buyer needs 200–500+ queries, geographic footprint, or ongoing strategic advisory, one platform pointed to SearchIntel, which operates on a three-month minimum retainer with no self-serve option [80]. When the buyer requires competitive intelligence with exact prompt-platform-source isolation and citation-ready content generation, Astiva AI was named with a Starter tier at $99/month [81]. When the buyer needs done-for-you execution with founder review and white-label reporting, TriRank Founding was named at $999/month per site [82]. When enterprise requirements include BI/CRM integration, SSO/SAML, and large brand portfolio management, UltraScout AI was named from £5,000/month [83]. When the buyer wants real-time daily tracking across 8+ platforms with source URL intelligence, Reaudit.io was named [84].
A second cluster of alternatives applies when the buyer needs services rather than software. One platform recommended a specialized AI-search consultancy or agency when the buyer needs custom research design, human strategic interpretation, executive workshops, content or technical implementation, PR and source acquisition, and ongoing change management. A larger enterprise SEO or search-intelligence platform was recommended when procurement requires integrations, formal support commitments, extensive historical storage, multi-market governance, or large-scale workflow management. A broader market-research provider was recommended when the objective includes customer research, category sizing, brand tracking, or demand intelligence beyond AI-generated answer visibility.
A third pattern is combining tools. One platform concluded that buyers seeking an end-to-end strategic partner should combine MonitorAEO with a professional SEO/AEO agency, or opt for high-end enterprise partners. Another described MonitorAEO as working best as an audit component within a broader platform strategy rather than a standalone market-intelligence partner.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with MonitorAEO before signing a contract or starting a monitoring subscription?
- Can MonitorAEO customize queries, retain historical data, and export raw answers for external analysis?
The platforms produced overlapping verification lists. The consolidated items below combine the questions raised across openai, anthropic, deepseek, grok, perplexity, kimi, and google.
- Can the buyer provide custom queries by market, product, persona, language, or geography beyond the standard 40-question matrix, and is the 40-question set templated or co-designed?
- Are query wording, locations, personalization, search settings, timestamps, model versions, and rerun conditions preserved for reproducibility?
- What exact data is exported, in what formats, and can the buyer retain raw answers, citations, screenshots, and historical trend data indefinitely?
- How long does MonitorAEO retain historical monitoring data, and can the buyer retrieve month-over-month or year-over-year comparisons?
- Is human analyst review included, and are strategy workshops, executive readouts, implementation, and remediation support available at additional cost?
- What uptime, rerun-failure, support-response, and data-processing commitments apply, and are any SLAs or security documents available?
- How are Google AI Overviews and other engines accessed, and how does MonitorAEO handle engine-interface, model, or scraping changes?
- Can multiple domains, brands, regions, and competitors be managed under one contract, and what are the volume fees?
- Are the stated prices still valid at checkout, and what taxes or additional charges apply to a United States buyer?
- What is the definition and methodology of the sentiment and hallucination scores, and how are they weighted?
- Does MonitorAEO provide structured competitive benchmarking such as share-of-voice calculation, win/loss analysis by prompt, and competitor trend tracking, and how is it visualized?
- Does the platform integrate with SEO tools, analytics platforms, or content management systems for cross-channel correlation?
Final AI Consensus Verdict
MonitorAEO is a mixed fit for AI Search Audit and Market Intelligence Partners for Strategy and Execution. It is a strong tactical choice for an affordable, standardized AI-search visibility audit and recurring monitoring program, and a weak fit as a full-service market-intelligence partner for strategy and execution because human strategic interpretation, bespoke research, enterprise reporting, and implementation services are unclear or undocumented.
The consensus splits by fit rating. Grok rated it strong [85]. Google and perplexity rated it good [86]. OpenAI, anthropic, and kimi rated it mixed [88]. DeepSeek rated it uncertain [91]. No platform rated it a poor fit, and no platform described it as a complete strategy-and-execution partner.
The practical verdict for a buyer is to treat MonitorAEO as a measurement layer, not a strategy layer. It answers what AI engines say about a brand, which domains they cite, which competitors they recommend instead, and whether the site's technical GEO foundations are in place [92]. It does not, on the supplied evidence, answer how to interpret those findings for a board, how to design research beyond 40 questions, or who will implement the fixes [89].
Buyers evaluating this category can compare MonitorAEO against the other named partners in the AI Search Audit and Market Intelligence Partners for Strategy and Execution consensus index, which ranks the full field for this use case.
How This Review Was Produced
This review was produced from seven platform fit-research responses collected for the study date 2026-09-18, covering openai, anthropic, deepseek, grok, perplexity, kimi, and google. Each platform evaluated MonitorAEO against the same use case: AI Search Audit and Market Intelligence Partners for Strategy and Execution. Two platforms, anthropic and kimi, named MonitorAEO during ranking discovery, which is why it appears in this review; the other five produced fit assessments without ranking it.
The review preserves each platform's stated fit rating, strengths, limitations, pricing findings, and verification questions. Where platforms disagreed, the disagreement is reported rather than resolved. Where a claim rests only on company-owned pages, it is attributed to those pages rather than described as independently verified. The category directory for this research area is available at ai search audits market intelligence.
Methodology Limitations
Several limitations apply to this review. Company-owned citations materially outnumber independent citations: 17 of 19 deduplicated sources are company-owned, and only two are independent [95]. Company claims should not be read as independently verified.
Platform-reported research dates differ from the authoritative run date. DeepSeek's response is dated 2026-02-14, while the study date is 2026-09-18; the other six platforms are dated 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness.
The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. DeepSeek's response was produced with search disabled, so its claims require explicit verification before being described as current facts.
Conflicting product names and pricing were not resolved by guessing. The ranking-stage description names the Full Audit at $79 and Monitoring as the recurring option, while current public pages additionally show a $29 Two Engine Audit and $35/month Two Engine Monitoring [97]. Buyers should confirm exact tier names and prices at checkout.
No supplied source documents independent validation of engine coverage, scraping stability, scoring accuracy, sampling methodology, or reproducibility [97]. No supplied source documents human strategic review, custom research programs, executive reporting artifacts, or implementation services [99]. Agreement among AI platforms reflects shared reading of company-owned pages and is not evidence of product quality.
Sources
Company-Owned Sources
- Astiva AI Product: Detect, Diagnose, Displace, Prove AI Visibility | Astiva AI: https://astiva.ai/product
- Market Brew | AI Visibility Modeling for Search, LLMs, and GEO: https://marketbrew.ai/
- If you don't appear in ChatGPT you don't exist for 56% of searches: https://reaudit.io/
- AI Market Intel | See Your Whole Category in AI | TopSlot: https://topslot.ai/product/ai-market
- AEO / AI Visibility Audit — $399 one-time | TriRank - AI Search Visibility: https://trirankai.com/audit
- Enterprise AI Visibility & Strategic Intelligence | UltraScout AI: https://ultrascout.ai/platform/enterprise
- Monitoraeo — see how AI engines describe your brand: https://www.monitoraeo.com/
- AEO tools comparison (2026): honest pros and cons: https://www.monitoraeo.com/blog/aeo-tools-comparison-2026
- What is GEO? Generative Engine Optimisation explained: https://www.monitoraeo.com/blog/what-is-geo
- Pricing — monitoraeo: https://www.monitoraeo.com/pricing
- Privacy Policy — monitoraeo: https://www.monitoraeo.com/privacy
- Audit — AI visibility diagnostic: https://www.monitoraeo.com/product/audit
- Monitoring — track AI visibility every month: https://www.monitoraeo.com/product/monitoring
- Terms of Service — monitoraeo: https://www.monitoraeo.com/terms
- What is Google AI Mode? How it works + how to appear in it: https://www.monitoraeo.com/what-is-ai-mode
- Search Intelligence Platform: How SearchIntel Works: https://www.searchintel.tech/technology/
- AI Visibility Audit for Agencies — White Label IQ: https://www.whitelabeliq.com/white-label-website-audit-services/ai-visibility-audit/
Additional AI research evidence100 records
- AI research evidence record openai:audit
- AI research evidence record anthropic:16-4
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record anthropic:3-1
- AI research evidence record anthropic:3-13
- AI research evidence record google:2.1.4
- AI research evidence record anthropic:3-15
- AI research evidence record anthropic:3-16
- AI research evidence record google:1.3.5
- AI research evidence record openai:pricing
- AI research evidence record anthropic:3-6
- AI research evidence record anthropic:3-7
- AI research evidence record google:3.1.1
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record google:1.3.5
- AI research evidence record openai:monitoring
- AI research evidence record anthropic:16-10
- AI research evidence record anthropic:16-2
- AI research evidence record openai:audit
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:audit
- AI research evidence record anthropic:16-4
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record grok:0
- AI research evidence record google:1.3.5
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:31-5
- AI research evidence record anthropic:31-6
- AI research evidence record anthropic:31-18
- AI research evidence record anthropic:16-8
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:3-11
- AI research evidence record anthropic:16-17
- AI research evidence record anthropic:3-15
- AI research evidence record grok:0
- AI research evidence record google:1.3.9
- AI research evidence record perplexity:c2
- AI research evidence record openai:audit
- AI research evidence record anthropic:3-15
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:3-16
- AI research evidence record anthropic:3-11
- AI research evidence record anthropic:16-17
- AI research evidence record openai:terms
- AI research evidence record perplexity:c8
- AI research evidence record anthropic:3-13
- AI research evidence record google:2.1.4
- AI research evidence record openai:audit
- AI research evidence record anthropic:7-6
- AI research evidence record anthropic:7-7
- AI research evidence record anthropic:3-6
- AI research evidence record anthropic:3-7
- AI research evidence record google:3.1.1
- AI research evidence record openai:pricing
- AI research evidence record grok:0
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record perplexity:c1
- AI research evidence record openai:terms
- AI research evidence record google:3.1.9
- AI research evidence record perplexity:c8
- AI research evidence record openai:audit
- AI research evidence record perplexity:c2
- AI research evidence record openai:audit
- AI research evidence record anthropic:3-15
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record anthropic:3-11
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:16-17
- AI research evidence record anthropic:3-13
- AI research evidence record perplexity:c6
- AI research evidence record openai:audit
- AI research evidence record anthropic:3-15
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record deepseek:c2
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:3-11
- AI research evidence record openai:privacy
- AI research evidence record kimi:searchintel-1
- AI research evidence record kimi:astiva-ai-1
- AI research evidence record kimi:trirank-1
- AI research evidence record kimi:ultrascout-1
- AI research evidence record kimi:reaudit-1
- AI research evidence record grok:0
- AI research evidence record google:1.3.9
- AI research evidence record perplexity:c2
- AI research evidence record openai:audit
- AI research evidence record anthropic:3-15
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:16-8
- AI research evidence record anthropic:31-6
- AI research evidence record google:2.1.4
- AI research evidence record perplexity:c6
- AI research evidence record deepseek:c2
- AI research evidence record openai:audit
- AI research evidence record anthropic:3-6
- AI research evidence record anthropic:3-15
- AI research evidence record kimi:monitoraeo-audit-1
Independent Sources
- Web search for independent reviews of MonitorAEO: https://www.google.com/search?q=MonitorAEO+review
- Best AI Reputation & Visibility Tools (2026), Reviewed | Stork.AI: https://www.stork.ai/blog/best-ai-reputation-tools-2026
Additional AI research evidence100 records
- AI research evidence record openai:audit
- AI research evidence record anthropic:16-4
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record anthropic:3-1
- AI research evidence record anthropic:3-13
- AI research evidence record google:2.1.4
- AI research evidence record anthropic:3-15
- AI research evidence record anthropic:3-16
- AI research evidence record google:1.3.5
- AI research evidence record openai:pricing
- AI research evidence record anthropic:3-6
- AI research evidence record anthropic:3-7
- AI research evidence record google:3.1.1
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record google:1.3.5
- AI research evidence record openai:monitoring
- AI research evidence record anthropic:16-10
- AI research evidence record anthropic:16-2
- AI research evidence record openai:audit
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:audit
- AI research evidence record anthropic:16-4
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record grok:0
- AI research evidence record google:1.3.5
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:31-5
- AI research evidence record anthropic:31-6
- AI research evidence record anthropic:31-18
- AI research evidence record anthropic:16-8
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:3-11
- AI research evidence record anthropic:16-17
- AI research evidence record anthropic:3-15
- AI research evidence record grok:0
- AI research evidence record google:1.3.9
- AI research evidence record perplexity:c2
- AI research evidence record openai:audit
- AI research evidence record anthropic:3-15
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:3-16
- AI research evidence record anthropic:3-11
- AI research evidence record anthropic:16-17
- AI research evidence record openai:terms
- AI research evidence record perplexity:c8
- AI research evidence record anthropic:3-13
- AI research evidence record google:2.1.4
- AI research evidence record openai:audit
- AI research evidence record anthropic:7-6
- AI research evidence record anthropic:7-7
- AI research evidence record anthropic:3-6
- AI research evidence record anthropic:3-7
- AI research evidence record google:3.1.1
- AI research evidence record openai:pricing
- AI research evidence record grok:0
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record perplexity:c1
- AI research evidence record openai:terms
- AI research evidence record google:3.1.9
- AI research evidence record perplexity:c8
- AI research evidence record openai:audit
- AI research evidence record perplexity:c2
- AI research evidence record openai:audit
- AI research evidence record anthropic:3-15
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record anthropic:3-11
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:16-17
- AI research evidence record anthropic:3-13
- AI research evidence record perplexity:c6
- AI research evidence record openai:audit
- AI research evidence record anthropic:3-15
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record deepseek:c2
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:3-11
- AI research evidence record openai:privacy
- AI research evidence record kimi:searchintel-1
- AI research evidence record kimi:astiva-ai-1
- AI research evidence record kimi:trirank-1
- AI research evidence record kimi:ultrascout-1
- AI research evidence record kimi:reaudit-1
- AI research evidence record grok:0
- AI research evidence record google:1.3.9
- AI research evidence record perplexity:c2
- AI research evidence record openai:audit
- AI research evidence record anthropic:3-15
- AI research evidence record kimi:monitoraeo-audit-1
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:16-8
- AI research evidence record anthropic:31-6
- AI research evidence record google:2.1.4
- AI research evidence record perplexity:c6
- AI research evidence record deepseek:c2
- AI research evidence record openai:audit
- AI research evidence record anthropic:3-6
- AI research evidence record anthropic:3-15
- AI research evidence record kimi:monitoraeo-audit-1
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- Study date
- September 18, 2026
- Platforms analyzed
- 7
- Source records
- 19
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #8
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
2 independent · 17 company-owned
Evidence support
15 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 2167c9c9bde417bb269935dd9d445d997182ad46906d7d3d4083300a52b223de