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AI Consensus Fit Review

Reaudit AI Search Audit Fit Review for Mid-Market Companies

Reaudit is a qualified good fit for mid-market AI search audits.

Research: 2026-09-187 usable platform responsesRead the methodology ↗

Answer Capsule

Reaudit is a qualified good fit for mid-market AI search audits. Two of seven platforms named it during ranking discovery (deepseek at rank 5, kimi at rank 6), yet five of seven platforms that produced fit research rated it good or strong. The strongest reason to consider it is a single platform that combines prompt-level mention and citation tracking, competitor benchmarking, source-domain analysis, content-gap detection, and a prioritized technical roadmap at self-service pricing starting at €50/month [1]. The main limitation is evidence quality: most available material is company-owned, no independent validation of measurement accuracy was located, and pricing, engine coverage, and refresh cadence conflict across sources [3].

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (deepseek, kimi)
Share of included platform responses28.6%
Average listed rank5.5
Best listed rank5 (deepseek)
Relevant product/model/planAI SEO Audit + Visibility Monitoring; AI Visibility Tracking platform; Professional plan (€299/month) most relevant for mid-market
Overall use-case fitGood, with qualification (openai, anthropic, grok, perplexity: good; google: strong; deepseek, kimi: uncertain)
Research date2026-09-18

Why Reaudit Qualified for This Study

Questions This Section Answers

  • Why did Reaudit qualify for a mid-market AI search audit study when only two platforms named it in the ranking stage?
  • Does Reaudit meet the six evaluation criteria used for AI search audits for mid-market companies?

Reaudit qualified because it was named during ranking discovery by two of the seven included platforms and because its advertised scope maps directly onto all six evaluation criteria used in this study: recommendation analysis, mention and citation measurement, competitor benchmarking, influential source-domain analysis, content and authority gaps, and a prioritized improvement roadmap [6].

The ranking-stage signal was thin. Only deepseek (rank 5) and kimi (rank 6) named Reaudit, giving it an average listed rank of 5.5 and a 28.6% share of included platform responses. Five platforms that produced fit research did not name it during ranking discovery but still evaluated it afterward, and five of those seven fit ratings landed at good or strong (openai, anthropic, grok, perplexity, google), while deepseek and kimi returned uncertain ratings.

The qualification threshold for this study was at least two platform mentions, which Reaudit met. Its inclusion rests on that threshold plus criteria alignment, not on broad platform consensus.

The Product, Model, Plan, or Service Most Relevant to AI Search Audits for Mid-Market Companies

Questions This Section Answers

  • Which Reaudit plan is the most relevant starting point for a mid-market company buying an AI search audit?
  • Does Reaudit's Professional plan include enough prompts, projects, and competitor slots for a mid-market team?

The most relevant offering is Reaudit's AI SEO Audit plus AI Visibility Monitoring platform, sold as a self-service subscription with a separate done-for-you services tier [9]. For a mid-market buyer, the Professional plan is the practical starting point: €299/month for five projects, five seats, 250 unique prompts per day, 10 website audits per month, one year of data retention, and five competitors [12].

The platform's audit surface combines two components. The visibility side tracks mentions, citations, sentiment, answer position, share of voice, and cited source URLs across AI engines [14]. The technical side, branded Optimization Station, crawls a site for AI-readiness signals including structured data, robots.txt, llms.txt, content clarity, performance, and accessibility, then issues recommendations ranked Critical, Important, or Suggested with generated implementation code [18].

A separate managed tier exists. Reaudit's services page lists done-for-you plans at approximately €1,499/month, €2,999/month, and €4,499/month, with the €2,999 tier described as including 50 dedicated hours and a monthly content plan [21]. Platform outputs disagree on whether the €2,999 tier includes citation acquisition or only content planning, so scope must be confirmed directly [21].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do most AI platforms agree Reaudit does well for mid-market AI search audits?
  • Is Reaudit's combination of visibility tracking and technical auditing considered a strength by the platforms that evaluated it?

Platforms broadly agreed on capability coverage. Five of seven fit ratings were good or strong, and the recurring theme was that Reaudit bundles audit, monitoring, competitor comparison, and remediation guidance in one subscription rather than requiring separate tools (openai, anthropic, grok, perplexity, google).

Specific points of agreement:

  • Mention and citation measurement. Platforms consistently described tracking of brand mentions, citation rates, citation source URLs, sentiment, and answer position [24].
  • Competitor benchmarking. Share-of-voice comparison, competitor visibility tracking, and identification of competitor-cited pages were described across platforms [29].
  • Content and authority gaps. Gap intelligence that flags prompts where a brand is absent, underperforming, or competitor-dominated appeared in multiple outputs [32].
  • Prioritized roadmap. Recommendations ranked by priority with code snippets ready for implementation were described by openai, anthropic, and google [35].
  • Mid-market pricing accessibility. Multiple platforms noted that self-service tiers sit well below typical enterprise software pricing [38].

Agreement here reflects consistent reading of the same largely company-owned material. It is not independent proof that the product performs as described.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did some AI platforms rate Reaudit uncertain for mid-market AI search audits?
  • Do the platforms agree on Reaudit's pricing, engine coverage, and independent validation?

Disagreement centered on evidence quality and factual consistency, not on feature descriptions.

Fit ratings diverged. Google rated Reaudit a strong fit, calling it an outstanding solution for mid-market AI search visibility (google). OpenAI, Anthropic, Grok, and Perplexity rated it good with qualifications (openai, anthropic, grok, perplexity). DeepSeek and Kimi rated it uncertain (deepseek, kimi).

Kimi reported finding no evidence of the company. Kimi's web search on 2026-09-18 returned zero results for Reaudit or reaudit.io, while the same search surfaced competitor audit services [41]. This directly conflicts with six other platforms that retrieved and cited reaudit.io pages. The most likely explanation is a search-tooling or indexing failure on Kimi's side, but the conflict is unresolved in the supplied evidence and buyers should treat it as a verification flag rather than a settled fact.

Pricing conflicts. Reaudit's own pages list Starter at €50/month, Professional at €299/month, and Agency at €799/month [42]. One independent directory extracted USD amounts of $50, $299, and $799 on August 28, 2026 [45]. Google's output noted earlier documentation listing Professional at €250/month versus the current €299/month (google). Perplexity reported third-party listings with conflicting currency and plan formatting [47].

Engine coverage conflicts. Reaudit's homepage variously describes tracking 8+, 9+, and 10+ AI platforms, while the pricing page lists five included engines with Claude, DeepSeek, Meta AI, Grok, Copilot, and Mistral as add-ons [49]. Google's output referenced 11 tracked engines [51]. Plan-level coverage is not clearly resolved.

Refresh cadence conflicts. The homepage states real-time monitoring, while pricing and other material reference daily refreshes [49].

MCP tool count conflicts. Sources reference 180, 197, 233, and 235 MCP tools [53].

Independent validation is absent. No independent third-party evaluation of Reaudit's citation detection, recommendation scoring, competitor benchmarking, or roadmap quality was located in the reviewed sources (openai, anthropic, deepseek, grok, perplexity). Company-owned citations materially outnumber independent ones in this evidence set.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Reaudit cover all six capabilities a mid-market buyer needs in an AI search audit?
  • How does Reaudit handle source-domain analysis and content gap detection for mid-market teams?

Reaudit covers all six study criteria, with source-domain analysis the least documented.

CriterionReaudit capabilityEvidence strength
Recommendation analysisMeasures whether AI systems mention, cite, and recommend a brand; tracks sentiment, answer position, and recommendation scenariosCompany-reported, not independently validated
Mention and citation measurementMention rate, citation share, citation rank, citation context, source URLs, quote extraction, visibility score, prompt-level trackingCompany-reported; engine coverage varies by plan
Competitor benchmarkingVisibility, citation rank, share of voice, average position, and trends versus competitors; five competitors on Professional, 20 on AgencyCompany-reported
Influential source-domain analysisIdentifies cited URLs and domains, filters by domain, platform, and model, surfaces missing citation opportunitiesCompany-reported; Perplexity rated this capability unclear in public materials (perplexity)
Content and authority gapsCompetitor-advantage analysis, content gaps, citation opportunities, schema deficiencies, keyword blind spots, authority-signal recommendationsCompany-reported
Prioritized improvement roadmapRecommendations ranked Critical, Important, Suggested with generated code and export or deployment optionsCompany-reported; business-impact scoring not documented

Two capability notes matter for mid-market buyers. First, the roadmap's prioritization logic appears technical-completeness-focused; public material does not document business-impact scoring, owner assignment, dependencies, or project-management workflow (openai, anthropic). Second, Reaudit audits AI readiness separately from traditional Google SEO metrics and does not explicitly integrate Google Search Console data, keyword ranking, or backlink analysis [54].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Reaudit cost per month for a mid-market AI search audit, and what add-ons raise the bill?
  • What are Reaudit's cancellation, renewal, and refund terms, and are prices billed in euros or dollars?

Self-service pricing is published and tiered. The Professional plan at €299/month is the most relevant mid-market tier [55].

PlanPriceKey limits
Starter€50/month1 project, 2 seats, 30 unique prompts/day, 2 website audits/month, 6 months retention
Professional€299/month5 projects, 5 seats, 250 unique prompts/day, 10 website audits/month, 1 year retention, 5 competitors
Agency€799/month20 projects, 10 seats, 1,000 unique prompts/day, 40 website audits/month, 1 year retention, 20 competitors
EnterpriseCustomCustom contract terms
Done-for-you services~€1,499 / €2,999 / €4,499 per monthManaged tiers; €2,999 includes 50 dedicated hours and a monthly content plan

Add-ons and overages. Claude, DeepSeek, Meta AI, Grok, Copilot, and Mistral are listed as add-on models [55]. Extra projects cost €50/month per unit, prorated for the current billing period [55]. A Starter Broadcast + MCP Pack is listed at €39.90/month [55]. Overage rates are €0.50 per content article, AI image, or website audit, and €0.05 per social-media post [55]. An AI-First GTM Strategy add-on is described as premium for Professional, Agency, and Enterprise, with price not disclosed [55].

Contract terms. Reaudit's terms page states subscriptions are billed in advance monthly or annually, renew automatically unless cancelled before the renewal date, and can be cancelled anytime through account settings with cancellation effective at the end of the current billing period (official:C3). All fees are stated as non-refundable, and buyers waive any right of withdrawal or cooling-off period upon purchase (official:C3). Prices may change with 30 days' notice, and fees exclude applicable taxes (official:C3). Annual billing is advertised as saving 10% [55].

Currency and geography. Pricing is displayed in euros. One independent directory extracted USD figures in August 2026, but the current pricing page shows EUR only [60]. A United States buyer should verify currency conversion, taxes, billing entity, and any U.S.-specific charges before purchase.

Best Suited For

Questions This Section Answers

  • Is Reaudit a good choice for a mid-market marketing team that wants self-service AI search auditing and monitoring?
  • Which mid-market buyer profile gets the most value from Reaudit's Professional plan?

Reaudit is best suited to mid-market marketing or SEO teams that want both a technical AI-readiness audit and ongoing prompt-based visibility monitoring in one subscription, and that have the internal capacity to act on recommendations (openai, anthropic, perplexity).

Strongest-fit profiles from the platform outputs:

  • Mid-market brands monitoring several brands, markets, or projects, where the Professional plan's five projects and five seats fit (openai).
  • Teams that value source-domain, competitor, content-gap, and implementation-roadmap outputs in one platform rather than stitching tools together (openai, anthropic).
  • Buyers wanting mention, citation, sentiment, and share-of-voice tracking combined with site technical readiness assessment (anthropic).
  • Cost-conscious teams that want a low entry price with room to scale from €50/month to €799/month before considering enterprise contracts (perplexity, anthropic).
  • Developer-led or agile teams that would use the MCP server to query visibility data from compatible AI assistants (google, grok).

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Reaudit for AI search audits for mid-market companies?
  • Is Reaudit a poor fit for buyers who need independently validated measurement or hands-on execution?

Reaudit is probably not the best choice for buyers whose primary requirement is independently validated measurement, formal enterprise procurement controls, or hands-on execution at standard pricing (openai, anthropic, deepseek, perplexity).

Specific poor-fit situations:

  • Organizations requiring independently validated measurement accuracy or clearly documented model-level methodology before purchase (openai, anthropic, perplexity).
  • Buyers needing broad AI-engine coverage on the lowest-priced plan, since lower tiers include only a subset of engines and several models are add-ons (openai).
  • Teams seeking a narrowly focused audit-only engagement rather than a recurring monitoring and optimization platform (openai).
  • Companies needing multi-month implementation support or hands-on content creation tied to audit recommendations, unless they buy the managed tier (anthropic).
  • Buyers requiring third-party validation of platform measurement accuracy or published case studies demonstrating outcome reproducibility (anthropic, deepseek).
  • U.S. companies that require U.S.-based account management and billing strictly in USD, since Reaudit is European-based with euro pricing (google).
  • Buyers with hard budget caps who need fully transparent pricing before a sales conversation, given the conflicting third-party listings (deepseek, perplexity).

When Another Option May Be Better

Questions This Section Answers

  • When is a different AI search audit provider a better choice than Reaudit for a mid-market company?
  • What should a mid-market buyer choose instead of Reaudit if they need managed execution or traditional SEO depth?

Another option may be better in several defined situations, based on platform-supplied comparisons.

  • Managed execution is required. Reaudit's managed tier starts at €1,499/month and rises to €4,499/month, while agency-delivered audits from firms such as Straight North, Victorious, Bruce Clay, Infidigit, and MV3 bundle implementation guidance and citation acquisition at comparable or lower cost (anthropic).
  • Unified traditional SEO plus AI search auditing is required. Semrush Enterprise or Conductor offer broader combined SEO and AI search tooling, though at higher cost (anthropic).
  • Revenue-impact attribution is required. Agency-led audits such as MV3 tie recommendations to estimated qualified pipeline impact; Reaudit focuses on visibility signals without business-outcome framing (anthropic).
  • Enterprise governance is required. Larger alternatives have more formal reporting and compliance documentation (anthropic, perplexity).
  • Published, transparent pricing is a hard requirement. Competitors with confirmed public price points include MonitorAEO ($29–$79 one-time), TriRank ($399 one-time), and TurboAudit ($39.99–$549.99/month) [62].
  • Classical SEO data is the main priority. A traditional SEO suite may be needed alongside or instead of Reaudit when backlink databases and Google SERP positions matter most (openai, google).
  • Pure enterprise-grade dashboard reporting is the only need. Profound and similar dedicated reporting platforms may fit better (google).

Questions to Verify Before Buying

Questions This Section Answers

  • What should a mid-market buyer confirm with Reaudit before signing a contract?
  • Which Reaudit claims need direct verification because public evidence is company-reported or conflicting?

Verify these items directly with Reaudit before purchase, because the supplied evidence is company-reported, conflicting, or incomplete:

  1. Which AI engines, models, locales, and search surfaces are included in the Professional plan for a U.S. account, and what are the exact add-on prices for Claude, DeepSeek, Meta AI, Grok, Copilot, and Mistral? [65]
  2. How are prompts sampled and repeated, how is nondeterminism handled, and can raw responses and citations be exported for auditability? [66]
  3. Can the platform separate branded, non-branded, category, comparison, local, and purchase-intent prompts? (openai)
  4. How are recommendation, sentiment, answer position, citation share, and share-of-voice metrics defined and validated? [68]
  5. What source-domain data is available: full URLs, domain-level aggregation, source frequency, source influence, historical changes, and competitor-source overlap? (openai, perplexity)
  6. Does the roadmap provide business-impact prioritization, implementation owners, dependencies, and evidence for each recommendation? (openai, anthropic)
  7. What are the monthly and annual cancellation, renewal, refund, tax, currency, overage, and data-export terms? (official:C3, openai)
  8. Are security, privacy, data-processing, retention, access-control, and U.S. data-location requirements documented for the intended deployment? (openai, anthropic)
  9. Can Reaudit demonstrate a live audit using the buyer's own domain, competitors, U.S. prompts, and target AI engines before purchase? (openai)
  10. Is pricing quoted in EUR only or is USD billing available, and does the 10% annual discount apply to the Professional tier? [70]
  11. What exactly does the €2,999/month managed tier's 50 dedicated hours cover, and does it include citation acquisition or only content planning? [71]
  12. Are there named mid-market reference customers or independent reviews available? (deepseek, anthropic)

Final AI Consensus Verdict

Reaudit is a good fit, with qualification, for mid-market AI search audits. Five of seven platforms that produced fit research rated it good or strong, and its advertised scope covers all six study criteria at self-service pricing that starts well below enterprise alternatives (openai, anthropic, grok, perplexity, google).

The qualification is evidence quality. Only two platforms named Reaudit during ranking discovery, most available material is company-owned, no independent validation of measurement accuracy was located, and pricing, engine coverage, refresh cadence, and MCP tool counts conflict across sources (openai, anthropic, perplexity, google). One platform reported finding no evidence of the company at all, a conflict that remains unresolved in the supplied evidence [72].

The practical path for a mid-market buyer is a paid pilot or live demo on the Professional plan, with written confirmation of engine coverage, measurement methodology, U.S. localization, data export, and commercial terms before any annual commitment. Buyers who need independently validated measurement, enterprise governance, or hands-on execution should compare agency-led and enterprise alternatives first.

How This Review Was Produced

This review was produced from a seven-platform AI research run dated 2026-09-18. Each platform independently evaluated Reaudit against the same mid-market AI search audit prompt and criteria. Two platforms named Reaudit during ranking discovery; all seven produced fit research. Fit ratings, feature findings, pricing details, and limitations were aggregated from those outputs. All factual claims are cited to the platform-supplied source that supported them. No personal testing, customer interviews, or independent verification was performed.

Methodology Limitations

  • Platform-reported research dates differ from the authoritative run date. DeepSeek's research is dated 2026-01-15, while the study date is 2026-09-18 (deepseek). Platform-reported dates are provenance metadata and do not independently prove freshness.
  • All included platforms evaluated fit, but the platform-mention count reflects only platforms that named Reaudit during ranking discovery.
  • Company-owned citations materially outnumber independent citations in this evidence set. Company claims are not independently verified.
  • Conflicting product names, pricing, and capabilities were not resolved by guessing. Conflicts are described, and buyers are directed to verify.
  • 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. Claims from platforms without search enabled require explicit verification before being described as current facts.
  • No independent third-party evaluation of Reaudit's citation detection, recommendation scoring, competitor benchmarking, or roadmap quality was located in the reviewed sources.

See the broader AI Search Audits for Mid-Market Companies consensus index for comparisons across qualified options.

Explore more ai search audits market intelligence guidance in the category directory.

Sources

Company-Owned Sources

  • Reaudit Documentation — AI SEO & Visibility Platform: https://docs.reaudit.io/
  • Gap Intelligence | Reaudit Docs: https://docs.reaudit.io/gap-intelligence
  • Data Studio Integration | Reaudit Docs: https://docs.reaudit.io/looker-studio-integration
  • AI Search Optimization & Brand Visibility | Reaudit: https://reaudit.io/
  • What Is AI Visibility? Definition & Metrics | Reaudit: https://reaudit.io/ai-visibility
  • Reaudit — AI Brand Visibility & AEO Platform: https://reaudit.io/audit
  • best AI visibility tools 2026 | Reaudit: https://reaudit.io/blog/best-ai-visibility-tools
  • Building the New SEO Stack: Why AI Visibility Tools Are Now Essential - Reaudit Blog | Reaudit: https://reaudit.io/blog/building-new-seo-stack-ai-visibility-tools-essential
  • We Paid for an SEO Audit. Then We Ran the Same Analysis in: https://reaudit.io/blog/seo-audit-vs-claude-mcp-ai-visibility-faster-cheaper
  • Top AI Visibility Tools for Brand Dominance in 2026 - Reaudit Blog: https://reaudit.io/blog/top-ai-visibility-tools-2026
  • Reaudit vs Semrush: AI Visibility (2026: https://reaudit.io/compare/reaudit-vs-semrush
  • Free AI Visibility Audit Tool (2026) - Reaudit: https://reaudit.io/free-tools/ai-seo-audit
  • Optimization Station — AI Website Audit Tool | Reaudit: https://reaudit.io/optimization-station
  • Pricing — AI Visibility & SEO Plans | Reaudit: https://reaudit.io/pricing
  • AI Visibility — Brand Monitoring for AI Search - Reaudit: https://reaudit.io/product/ai-visibility
  • AI SEO Services — Done-for-You Optimization | Reaudit: https://reaudit.io/services
  • Free AI SEO & GEO Tools - Reaudit: https://reaudit.io/tools
  • Free AI Visibility Audit Tool (2026) - Reaudit: https://reaudit.io/tools/ai-seo-audit
  • Official pricing and terms source: https://reaudit.io/terms
  • Additional AI research evidence72 records
    1. AI research evidence record openai:reaudit_pricing
    2. AI research evidence record anthropic:12-3
    3. AI research evidence record openai:reaudit_homepage
    4. AI research evidence record anthropic:11-1
    5. AI research evidence record perplexity:c5
    6. AI research evidence record openai:reaudit_homepage
    7. AI research evidence record anthropic:33-18
    8. AI research evidence record perplexity:c13
    9. AI research evidence record openai:reaudit_homepage
    10. AI research evidence record anthropic:2-1
    11. AI research evidence record perplexity:c2
    12. AI research evidence record openai:reaudit_pricing
    13. AI research evidence record google:2.2.1
    14. AI research evidence record openai:reaudit_ai_visibility
    15. AI research evidence record anthropic:31-1
    16. AI research evidence record anthropic:31-3
    17. AI research evidence record anthropic:33-13
    18. AI research evidence record openai:reaudit_optimization
    19. AI research evidence record anthropic:3-1
    20. AI research evidence record anthropic:3-2
    21. AI research evidence record anthropic:4-2
    22. AI research evidence record perplexity:c3
    23. AI research evidence record google:1.2.4
    24. AI research evidence record openai:reaudit_ai_visibility
    25. AI research evidence record anthropic:31-1
    26. AI research evidence record anthropic:31-3
    27. AI research evidence record anthropic:33-13
    28. AI research evidence record perplexity:c12
    29. AI research evidence record openai:reaudit_homepage
    30. AI research evidence record anthropic:31-9
    31. AI research evidence record anthropic:31-21
    32. AI research evidence record perplexity:c13
    33. AI research evidence record grok:13
    34. AI research evidence record anthropic:31-22
    35. AI research evidence record openai:reaudit_optimization
    36. AI research evidence record anthropic:3-2
    37. AI research evidence record google:1.2.5
    38. AI research evidence record perplexity:c1
    39. AI research evidence record anthropic:11-1
    40. AI research evidence record google:2.2.1
    41. AI research evidence record kimi:search_2026_2026-09-18
    42. AI research evidence record openai:reaudit_pricing
    43. AI research evidence record anthropic:12-3
    44. AI research evidence record google:2.2.1
    45. AI research evidence record anthropic:11-1
    46. AI research evidence record anthropic:11-5
    47. AI research evidence record perplexity:c5
    48. AI research evidence record perplexity:c6
    49. AI research evidence record openai:reaudit_homepage
    50. AI research evidence record anthropic:33-18
    51. AI research evidence record google:2.2.6
    52. AI research evidence record anthropic:33-12
    53. AI research evidence record google:1.1.9
    54. AI research evidence record anthropic:3-14
    55. AI research evidence record openai:reaudit_pricing
    56. AI research evidence record google:2.2.1
    57. AI research evidence record anthropic:12-7
    58. AI research evidence record anthropic:12-9
    59. AI research evidence record google:2.1.2
    60. AI research evidence record anthropic:11-1
    61. AI research evidence record anthropic:11-5
    62. AI research evidence record kimi:monitoraeo_audit
    63. AI research evidence record kimi:trirank_audit
    64. AI research evidence record kimi:turbovudit_pricing
    65. AI research evidence record openai:reaudit_pricing
    66. AI research evidence record anthropic:30-4
    67. AI research evidence record anthropic:30-5
    68. AI research evidence record anthropic:31-1
    69. AI research evidence record anthropic:31-3
    70. AI research evidence record anthropic:11-1
    71. AI research evidence record anthropic:4-2
    72. AI research evidence record kimi:search_2026_2026-09-18

Independent Sources

  • GitHub - RoseSamaras/reaudit-ai-plugin: https://github.com/RoseSamaras/reaudit-ai-plugin
  • Reaudit: LLM Mention Score & AI Search Visibility Optimization Tools Software Rank: https://llm.dataforseo.com/reaudit/
  • AEO / AI Visibility Audit — $399 one-time: https://trirankai.com/audit
  • TurboAudit Pricing — Plans for Every Stage: https://turboaudit.ai/
  • Reaudit — brand and pricing data | webclaw: https://webclaw.io/data/startups/company/reaudit.io
  • Web search results for AI search audit services: https://www.monitoraeo.com/product/audit
  • Additional AI research evidence72 records
    1. AI research evidence record openai:reaudit_pricing
    2. AI research evidence record anthropic:12-3
    3. AI research evidence record openai:reaudit_homepage
    4. AI research evidence record anthropic:11-1
    5. AI research evidence record perplexity:c5
    6. AI research evidence record openai:reaudit_homepage
    7. AI research evidence record anthropic:33-18
    8. AI research evidence record perplexity:c13
    9. AI research evidence record openai:reaudit_homepage
    10. AI research evidence record anthropic:2-1
    11. AI research evidence record perplexity:c2
    12. AI research evidence record openai:reaudit_pricing
    13. AI research evidence record google:2.2.1
    14. AI research evidence record openai:reaudit_ai_visibility
    15. AI research evidence record anthropic:31-1
    16. AI research evidence record anthropic:31-3
    17. AI research evidence record anthropic:33-13
    18. AI research evidence record openai:reaudit_optimization
    19. AI research evidence record anthropic:3-1
    20. AI research evidence record anthropic:3-2
    21. AI research evidence record anthropic:4-2
    22. AI research evidence record perplexity:c3
    23. AI research evidence record google:1.2.4
    24. AI research evidence record openai:reaudit_ai_visibility
    25. AI research evidence record anthropic:31-1
    26. AI research evidence record anthropic:31-3
    27. AI research evidence record anthropic:33-13
    28. AI research evidence record perplexity:c12
    29. AI research evidence record openai:reaudit_homepage
    30. AI research evidence record anthropic:31-9
    31. AI research evidence record anthropic:31-21
    32. AI research evidence record perplexity:c13
    33. AI research evidence record grok:13
    34. AI research evidence record anthropic:31-22
    35. AI research evidence record openai:reaudit_optimization
    36. AI research evidence record anthropic:3-2
    37. AI research evidence record google:1.2.5
    38. AI research evidence record perplexity:c1
    39. AI research evidence record anthropic:11-1
    40. AI research evidence record google:2.2.1
    41. AI research evidence record kimi:search_2026_2026-09-18
    42. AI research evidence record openai:reaudit_pricing
    43. AI research evidence record anthropic:12-3
    44. AI research evidence record google:2.2.1
    45. AI research evidence record anthropic:11-1
    46. AI research evidence record anthropic:11-5
    47. AI research evidence record perplexity:c5
    48. AI research evidence record perplexity:c6
    49. AI research evidence record openai:reaudit_homepage
    50. AI research evidence record anthropic:33-18
    51. AI research evidence record google:2.2.6
    52. AI research evidence record anthropic:33-12
    53. AI research evidence record google:1.1.9
    54. AI research evidence record anthropic:3-14
    55. AI research evidence record openai:reaudit_pricing
    56. AI research evidence record google:2.2.1
    57. AI research evidence record anthropic:12-7
    58. AI research evidence record anthropic:12-9
    59. AI research evidence record google:2.1.2
    60. AI research evidence record anthropic:11-1
    61. AI research evidence record anthropic:11-5
    62. AI research evidence record kimi:monitoraeo_audit
    63. AI research evidence record kimi:trirank_audit
    64. AI research evidence record kimi:turbovudit_pricing
    65. AI research evidence record openai:reaudit_pricing
    66. AI research evidence record anthropic:30-4
    67. AI research evidence record anthropic:30-5
    68. AI research evidence record anthropic:31-1
    69. AI research evidence record anthropic:31-3
    70. AI research evidence record anthropic:11-1
    71. AI research evidence record anthropic:4-2
    72. AI research evidence record kimi:search_2026_2026-09-18

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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
31
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#10

Research trail and source mix

Configured platforms

openai, anthropic, deepseek, grok, perplexity, kimi, google

Source mix

10 independent · 21 company-owned

Evidence support

18 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 b6dae60454ec35373d30642f375d86db6a6aa61dfb14c5fac362b4bd399a4d23