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Rampiq AI Search Audit Fit Review for Companies Losing Google Traffic

Rampiq is a good fit for B2B companies that need an agency-led audit connecting Google AI Overviews, LLM recommendations, citation sources, competitors, and an actionable recovery plan.

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

Answer Capsule

Rampiq is a good fit for B2B companies that need an agency-led audit connecting Google AI Overviews, LLM recommendations, citation sources, competitors, and an actionable recovery plan. Two of seven platforms named Rampiq during the ranking stage, giving it a 28.6% share of included platform responses, an average listed rank of 2.0, and a best listed rank of 2. The strongest reason to consider it is that its published audit scope closely matches the requested need: memory-versus-live LLM visibility, citation-source mapping, competitor benchmarking, Google AI Overview review, and a prioritized GEO action plan. The main limitation is that public evidence is primarily vendor-controlled, with incomplete methodology detail and conflicting pricing signals.

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (google, perplexity)
Share of included platform responses28.6%
Average listed rank2.0
Best listed rank2
Relevant product/model/planAI Search + GEO Audit for B2B Brands; AI Search & GEO Visibility Audit
Overall use-case fitGood (per OpenAI, Anthropic, Perplexity); Strong (per Google, Grok); Uncertain (per DeepSeek, Kimi)
Research date2026-09-18

Why Rampiq Qualified for This Study

Questions This Section Answers

  • Is Rampiq a good choice for AI Search Audits for Companies Losing Google Traffic?
  • How many AI platforms named Rampiq in the ranking stage for this use case?

Rampiq qualified because two of seven included platforms named it during ranking discovery, and all seven platforms that evaluated fit produced a substantive assessment of its AI Search + GEO Audit. The ranking-stage mentions came from google and perplexity, both placing Rampiq at rank 2, producing an average listed rank of 2.0 and a best listed rank of 2. Its 28.6% platform share reflects that only two platforms surfaced it in the ranking stage, even though every platform evaluated it afterward.

The entity's published audit scope maps directly onto the study's category criteria: an audit comparing traditional search visibility with AI recommendations, citations, competitor performance, high-intent prompts, source patterns, and potential GEO opportunities. Rampiq's audit page states it includes memory-versus-live LLM visibility, citation-source analysis, positioning review, GEO readiness, AI Overview content review, competitor benchmarking, and an action plan covering 10 pages and 50 keywords [1]. Independent coverage in Demand Gen Report describes Rampiq's findings that roughly 85% of citations for broad category queries come from third-party sources such as G2, Capterra, and TrustRadius rather than brand websites [2].

Fit ratings diverged across platforms: Google and Grok rated Rampiq a strong fit, OpenAI, Anthropic, and Perplexity rated it good, and DeepSeek and Kimi rated it uncertain. This review treats the aggregate as good, not strong, because the two uncertain ratings stem from missing public methodology and pricing rather than from any negative finding.

The Product, Model, Plan, or Service Most Relevant to AI Search Audits for Companies Losing Google Traffic

Questions This Section Answers

  • Which Rampiq service should a buyer choose for an AI search audit after losing Google traffic?
  • Does Rampiq's AI Search + GEO Audit compare traditional search visibility with AI recommendations?

The most relevant offering is the AI Search + GEO Audit for B2B Brands, also described as the AI Search & GEO Visibility Audit. Rampiq's audit page states the deliverable includes memory-versus-live LLM visibility, citation-source analysis, positioning review, GEO readiness, AI Overview content review, competitor benchmarking, and an action plan covering 10 pages and 50 keywords [3]. The services page describes the broader audit as reviewing LLM memory and live visibility, Google AI Overviews, and GEO compliance with B2B positioning [4].

The audit explicitly compares LLM memory-based visibility with live, search-enabled results and separately reviews Google AI Overviews, which is directly relevant to companies losing Google traffic while also becoming less visible in generative answers [3]. Rampiq's playbook describes memory audits, live audits, comparison audits, and capturing citation references from live results [5].

Rampiq also lists a separate AI Visibility Intensive and an AI Search Accelerator program. The AI Visibility Intensive is publicly listed at $2,800 one-time and includes a comprehensive AI Search audit, AI Overview analysis, LLM visibility-gap assessment, competitor mapping, a strategic action plan, and a 90-minute executive readout; the AI Search Accelerator is listed from $3,800 per month as an ongoing execution program rather than the audit itself [6].

Platforms used inconsistent product names for the same or overlapping offerings. Anthropic listed "AI Search & GEO Visibility Audit; AI Search + GEO Audit for B2B Brands; AI Visibility Optimization Program," while OpenAI and Google listed only "AI Search + GEO Audit for B2B Brands." Buyers should confirm which named product they are actually purchasing.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Rampiq's audit includes for companies losing Google traffic?
  • Do AI platforms agree Rampiq benchmarks competitors and citation sources?

Platforms broadly agreed on the audit's core scope. Multiple platforms reported that Rampiq's audit compares LLM memory-based visibility with live, search-enabled results and separately reviews Google AI Overviews [8]. Google's response described the audit as checking memory versus live LLM responses, tracing citations, checking positioning drift, scoring GEO-readiness, and benchmarking competitors [9].

Platforms also agreed on citation and source analysis. The stated deliverables include an AI Sources Map showing which sources LLMs use, plus a citation-gap review covering outdated, missing, or incorrect information [8]. Anthropic reported that the audit examines entity consistency, structured data implementation, citation opportunities, topical authority, semantic relationships, and content extractability [12].

Competitor benchmarking drew agreement as well. Rampiq states it benchmarks how AI platforms mention competitors and identifies opportunities to improve relative visibility [8]. Anthropic reported that the audit exposes where competitors win citations and why, mapping which sources models trust in the category [14].

Platforms converged on platform coverage. Anthropic reported that Rampiq evaluates how content is interpreted across ChatGPT, Perplexity, Microsoft Copilot, Gemini, and Google AI Overviews [15]. Perplexity reported that Rampiq publicly says its program helps companies earn citations and recommendations across ChatGPT, Perplexity, Gemini, and Google AI Overviews [16].

Agreement among platforms does not establish product quality. It reflects that the same company-owned pages were reachable to multiple research systems.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did some AI platforms rate Rampiq uncertain for AI search audits?
  • Is Rampiq's audit pricing consistent across public sources?

Fit ratings diverged materially. Google and Grok rated Rampiq a strong fit (google, grok). OpenAI, Anthropic, and Perplexity rated it good (openai, anthropic, perplexity). DeepSeek and Kimi rated it uncertain, citing absent independent evidence of methodology, deliverables, and outcomes (deepseek, kimi). Kimi stated that Rampiq's website contains minimal specific detail about AI search audit deliverables and that no third-party coverage of the audit was located [17].

Pricing is the sharpest conflict. One Rampiq page lists a $2,800 one-time AI Search audit [18], while a third-party directory reports an AI Visibility Diagnostic priced at $990 once with 35 questions and 5 engines [21]. Perplexity explicitly flagged that it is unclear whether the $2,800 item and the $990 diagnostic are the same product, different tiers, or different market offers [21]. Anthropic reported no publicly listed Rampiq AI audit pricing at all, only Clutch benchmarks of a $5,000+ minimum project size and $50–$99/hr average hourly rate [22].

Methodology detail is another uncertainty zone. OpenAI noted that the audit's exact prompt set, platform coverage, testing frequency, sampling methodology, and reporting format are not fully published (openai). DeepSeek reported that accessible sources do not itemize specific deliverables such as prompt sets, citation/source-pattern analysis, or competitor benchmark tables against the buyer's criteria [24].

Tooling roles are unclear. Rampiq cites proprietary or partner tools including Vertology.ai and, in program materials, Amadora.ai; the precise roles, data retention, model coverage, and customer access rights are not clearly documented (openai). Perplexity reported that Vertology.ai is described as a no-code audit tool developed by Rampiq's CEO to evaluate memory-based visibility across LLMs [26].

Geographic and testing controls are undocumented. The reviewed sources do not establish whether tests are performed from United States locations, whether personalization is controlled, or how volatile AI answers are normalized (openai). DeepSeek reported that accessible sources do not document specific U.S. market expertise or U.S.-only constraints [24].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Rampiq's audit cover high-intent prompts and source patterns for B2B buyers?
  • What GEO-readiness features does Rampiq's audit include for traffic-loss recovery?

Rampiq's audit covers the study's core criteria, with one partial gap. On traditional-search and AI-search comparison, the audit explicitly compares LLM memory-based visibility with live, search-enabled results and separately reviews Google AI Overviews [28]. On citation and source analysis, stated deliverables include an AI Sources Map showing which sources LLMs use, plus a citation-gap review covering outdated, missing, or incorrect information [28].

On competitor performance, Rampiq states it benchmarks how AI platforms mention competitors and identifies opportunities to improve relative visibility [28]. On GEO and technical opportunity assessment, the audit includes a GEO-readiness review, SEO-plus-GEO technical smoke test, content review, and an action plan covering 10 priority pages and 50 keywords [28].

High-intent prompts are the partial gap. Rampiq says its audit examines how decision-makers encounter brands when asking questions, shortlisting vendors, or comparing options, but public materials do not specify the exact prompt library, sample size, geographic controls, or repeatability of those tests [28]. Perplexity reported that public materials describe prompt libraries, high-intent questions, citation frequency, share of voice, prompt coverage, and prominence score as part of competitor visibility analysis [32]. Anthropic reported the audit tests a wide library of prompts simulating real buyer research questions [34].

On actionability for traffic-loss recovery, Rampiq positions the audit as producing a prioritized roadmap tied to campaigns, content plans, buyer behavior, and Google AI Overview opportunities [28]. The public materials do not establish that implementation will restore lost traffic.

Rampiq's tool stack includes Vertology and Amadora.ai as primary tools, plus Screaming Frog, Schema.org Validator, Ahrefs Brand Radar, and Semrush for on-page and visibility diagnostics [36]. Rampiq also recommends external toolkits such as Scrunch for ongoing monitoring, starting at $300/month [38].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Rampiq's AI Search + GEO Audit cost, and is the $2,800 price the full audit?
  • What contract, cancellation, and refund terms apply to Rampiq's AI search audit?

Pricing is the least settled part of this evaluation. Rampiq's AI Visibility Intensive is publicly listed at $2,800 as a one-time engagement including a comprehensive AI Search audit, AI Overview analysis, LLM visibility-gap assessment, competitor mapping, a strategic action plan, and a 90-minute executive readout [39]. The same page separately lists an AI Search Accelerator from $3,800 per month, but that is an ongoing execution program rather than the audit itself [39].

A third-party directory reports an AI Visibility Diagnostic priced at $990 once with 35 questions and 5 engines [41]. Perplexity flagged that it is unclear whether the $2,800 item and the $990 diagnostic are the same product, different tiers, or different market offers [41]. Anthropic reported no publicly listed Rampiq AI audit pricing, only Clutch benchmarks: a $5,000+ minimum project size and a $50–$99/hr average hourly rate [42]. Google reported that Clutch reviews note Rampiq project sizes often fall below $10,000 up to $49,999 [44].

On additional fees, OpenAI reported that no separate implementation, data-access, platform, travel, or revision fees were identified in the reviewed public materials (openai). Anthropic reported that implementation or optimization services following the audit likely have separate fees, though this is not explicitly stated (anthropic). Perplexity reported that potential add-ons or follow-on optimization work are not priced on the audit page (perplexity).

On contract and cancellation terms, OpenAI reported that contract length, cancellation rights, payment schedule, scope-change rules, and refund terms are not publicly specified in the reviewed sources (openai). Anthropic reported no public contract terms, minimum commitment length, or cancellation policy disclosed on Rampiq's website, and noted the AI Visibility Program states it is accepting new partners for Q1 2026 with limited capacity (anthropic). DeepSeek reported no public contract, term, or cancellation information was found (deepseek). Perplexity reported no clear public contract length, cancellation policy, or refund terms for the recommended audit, and noted that sales-call booking is required on the service page, suggesting customized terms may apply (perplexity).

Rampiq's terms of use page addresses site use, arbitration, and liability limits, including a liability cap of fifty U.S. dollars and mandatory binding arbitration with a class action waiver, but it does not publish audit-specific commercial terms (official:C2). Buyers should treat all pricing and contract details as requiring direct confirmation.

Best Suited For

Questions This Section Answers

  • Is Rampiq best suited for B2B SaaS companies losing Google traffic to AI Overviews?
  • Which buyers get the most value from Rampiq's AI Search + GEO Audit?

Rampiq is best suited for B2B technology and SaaS companies experiencing declining organic traffic or changing Google search visibility (openai, anthropic). Marketing teams needing both diagnosis and prioritized execution recommendations are a stated fit (openai). Companies wanting memory-versus-live LLM analysis, competitor benchmarking, citation-source analysis, and Google AI Overview review are also well matched [45].

Anthropic described the best-fit buyer as upper mid-market B2B SaaS and technology companies with $5,000+ project budgets and a need for pipeline-focused ROI measurement [46]. Google described the best fit as B2B SaaS and technology companies losing traditional Google search traffic to AI Overviews, plus brands wanting to assess positioning drift across AI platform memory versus live search (google).

Buyers who want an agency-led interpretation and action plan rather than operating the audit internally are a stated fit (openai). Buyers comfortable vetting a smaller SEO/PPC agency before committing are also a stated fit (deepseek).

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Rampiq for AI Search Audits for Companies Losing Google Traffic?
  • Is Rampiq a poor fit for buyers who need a self-service AI visibility dashboard?

Rampiq is probably not best suited for buyers requiring a standardized SaaS dashboard with published subscription pricing (openai). Companies needing independently audited attribution or guaranteed traffic recovery are also a poor fit (openai). Consumer brands or businesses outside Rampiq's stated B2B focus are not well matched (openai, grok).

Anthropic listed early-stage startups with sub-$5,000 project constraints, companies seeking only traditional SEO audits without AI search optimization, and verticals outside B2B IT and SaaS as poor fits [48]. Organizations needing instant or templated audit delivery without customization are also a poor fit (anthropic).

DeepSeek listed buyers requiring independently verified audit methodology, sample reports, or benchmark data; enterprise buyers needing published SLAs, certifications, or large-scale references; and buyers seeking self-serve AI visibility tracking rather than a done-for-you audit as poor fits (deepseek). Kimi listed buyers requiring transparent, verifiable audit methodologies before purchase and buyers needing immediate confirmed pricing and deliverables as poor fits (kimi). Google listed consumer-facing brands or B2C retail sites seeking high-volume automated e-commerce SEO audits and organizations requiring a low-cost, self-service automated software tool as poor fits (google).

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Rampiq for a buyer who needs published, transparent audit pricing?
  • When should a buyer choose a self-service AI visibility platform instead of Rampiq?

Another option may be better in several defined situations. OpenAI recommended choosing a self-service AI-visibility platform when the buyer needs continuous monitoring, repeatable prompt testing, exports, and transparent software pricing rather than a one-time agency interpretation (openai). OpenAI also recommended a conventional SEO analytics agency when the main problem is technical indexing, backlinks, penalties, or ranking loss and AI-search visibility is secondary, and an analytics or experimentation specialist when the buyer requires rigorous causal attribution between AI visibility changes and pipeline outcomes (openai).

Anthropic recommended mid-market audit providers such as Avante Visibility at $5,000 flat or DIY tools when the buyer has a strict budget under $5,000 and cannot reach Rampiq's minimum project size (anthropic). Anthropic also recommended dedicated AI monitoring SaaS platforms when ongoing monthly monitoring is the primary deliverable rather than a one-time audit (anthropic).

Kimi named specific alternatives with published pricing: GEORaiser Starter at $97 one-time, TurboAudit with a free tier or $39.99/mo Starter, and TriRank at $399 one-time [50]. Kimi also noted RankEcho for prompt-level gap analysis with actual AI engine answers and Viali for SaaS-based monitoring with daily re-scans and fix verification [53]. These are platform-reported alternatives from a single research system and were not independently validated in this study.

Google recommended external toolkits such as Scrunch for ongoing monitoring starting at $300/month when a buyer wants self-service subscription monitoring [55]. Perplexity recommended choosing a different vendor if the buyer needs fully transparent, fixed enterprise pricing and contract terms up front, a purely SEO-technical audit with no GEO or AI-answer focus, or independently benchmarked methodology documentation before purchase (perplexity).

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Rampiq before signing an AI search audit contract?
  • Which prompts, platforms, and deliverables should be specified in Rampiq's audit scope?

Buyers should confirm scope, price, and terms directly, because public documentation leaves material gaps. OpenAI's verification list includes which exact AI platforms, models, Google surfaces, and browser locations will be tested; how many prompts will be used and whether Rampiq will use the buyer's actual high-intent commercial prompts; whether the deliverable includes exact cited URLs, prompt transcripts, competitor comparisons, and historical baselines; and how memory results are distinguished from live-search results and how volatile answers are replicated or validated (openai).

On commercial terms, OpenAI's list includes whether the $2,800 price applies to the exact scope and what deliverables or revisions cost extra; whether implementation services, monitoring, reporting, or software access are included or separately billed; what access is required to Google Search Console, Analytics, CRM, website source code, or proprietary data; what measurable success criteria will be used and how AI visibility will be connected to qualified traffic, leads, or revenue; and what the contract, cancellation, confidentiality, data-retention, and ownership terms are (openai).

Anthropic's list includes the exact pricing for the AI Search & GEO Visibility Audit and whether it differs from the broader AI Visibility Optimization program; typical turnaround time from discovery call to final report; whether the audit includes page-level technical recommendations for entity restructuring, schema markup, and content rewriting or only category-level guidance; how many high-intent prompts are tested and whether the buyer can review or customize the prompt library; and whether the audit is a standalone deliverable or tied to purchasing an optimization retainer (anthropic).

Perplexity's list includes whether the recommended audit is the $2,800 one-time AI Search audit or a different diagnostic tier; exact outputs including prompt set size, engine coverage, citation report, competitor list, and roadmap; whether AI Overviews, ChatGPT, Perplexity, Gemini, and Copilot are all included in the same audit; how many prompt runs are performed and whether repeated runs reduce answer variance; what follow-on services are optional versus included and their fees; turnaround time and revision scope; and any refund, cancellation, or NDA terms (perplexity).

DeepSeek's list includes what exactly is delivered in the audit, total cost and add-on fees, contract length and refund terms, sample redacted audit reports and references especially for companies losing Google traffic, which AI platforms are covered and how visibility is measured, and verified U.S. market experience (deepseek). Kimi's list includes which specific AI engines are tested, whether the audit poses actual buyer-intent prompts and captures full answers with citations, whether there is a scored framework with per-dimension breakdown, exact price and whether it is one-time or retainer-based, whether competitor citation gap analysis and source pattern identification are included, deliverable formats, guarantees or re-audits, turnaround time, and whether implementation is bundled or separate (kimi).

Final AI Consensus Verdict

Rampiq is a good fit for AI Search Audits for Companies Losing Google Traffic, with meaningful caveats. Its published audit scope closely matches the requested need: comparing conventional search conditions with AI visibility, mapping citations and sources, benchmarking competitors, reviewing Google AI Overviews, and producing a prioritized GEO action plan [56]. Two of seven platforms named it in the ranking stage, and fit ratings ranged from strong (Google, Grok) to good (OpenAI, Anthropic, Perplexity) to uncertain (DeepSeek, Kimi).

The main reasons not to rate it strong are limited public methodological detail, primarily vendor-controlled evidence, and incomplete commercial terms. Company-owned citations materially outnumber independent citations in the supplied research, and company-reported claims about client results and AI Overview placements were not independently verified (openai). Pricing conflicts across sources: $2,800 one-time on a Rampiq page, $990 once in a third-party directory, and no published audit price per another platform's research [59].

It is best shortlisted by B2B companies willing to buy an agency-led diagnostic and confirm the exact testing scope and price before purchase. Buyers who need a transparent self-service platform, independently validated measurement, or a fully specified audit price and methodology should evaluate alternatives first. The broader AI Search Audits for Companies Losing Google Traffic index covers how other providers scored on the same criteria.

How This Review Was Produced

This review synthesizes fit-research responses from seven AI platforms: OpenAI (gpt-5.6-luna), Anthropic (claude-haiku-4-5-20251001), Google (gemini-3.5-flash), Grok (x-ai/grok-4.3), Perplexity (perplexity/sonar), DeepSeek (deepseek-v4-flash), and Kimi (moonshotai/kimi-k2.6). Each platform evaluated Rampiq against the use case of AI Search Audits for Companies Losing Google Traffic and supplied citations for its claims.

Ranking statistics reflect only platforms that named Rampiq during ranking discovery: google and perplexity, both at rank 2. Fit ratings reflect each platform's own assessment. All platform responses are labeled platform-reported and were not independently verified by the writer stage. The supplied URLs were collected from platform responses and were not independently validated.

This report evaluates Rampiq only for AI Search Audits for Companies Losing Google Traffic. It is not a broad company review, and findings should not be generalized to other services or use cases. The category-level ai search audits market intelligence directory covers the wider provider landscape.

Methodology Limitations

Several limitations constrain this review. Company-owned citations materially outnumber independent citations in the supplied research, so company claims should not be described as independently verified. Platform-reported research dates differ from the authoritative run date of 2026-09-18: DeepSeek's response is dated 2026-06-11, while the other six platforms are dated 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness.

DeepSeek's response was produced with search disabled, so its findings rest on model knowledge rather than retrieved sources and require explicit verification before being treated as current facts. Pricing conflicts were not resolved by guessing; the $2,800 one-time figure, the $990 one-time diagnostic, and the absence of published audit pricing are all reported as supplied. Product naming also conflicts across platforms, and buyers should confirm which named product they are purchasing.

The reviewed sources do not establish whether tests are performed from United States locations, whether personalization is controlled, or how volatile AI answers are normalized. No public guarantee links the audit to restored Google traffic, leads, rankings, citations, or revenue. Agreement among platforms on audit scope reflects that the same company-owned pages were reachable to multiple research systems, not that the audit's accuracy or outcomes have been validated.

Sources

Company-Owned Sources

Independent Sources

  • Agency directory listing for Rampiq: https://clutch.co/profile/rampiq
  • Rampiq Agency Reviews (16), Pricing, Services & Verified Ratings: https://clutch.co/profile/rampiq-agency
  • Rampiq Reveals What Content AI Search Engines Cite Most In B2B - Demand Gen Report: https://www.demandgenreport.com/features/demanding-views/rampiq-reveals-what-content-ai-search-engines-cite-most-in-b2b
  • Rampiq Reveals What Content AI Search Engines Cite Most In B2B - Demand Gen Report: https://www.demandgenreport.com/industry-news/news-brief/rampiq-reveals-what-content-ai-search-engines-cite-most-in-b2b/53486
  • Top-Rated B2B SaaS Marketing Agencies Powering Tech Revenue in 2026 - Technology Org: https://www.technology.org/2025/12/23/top-5-b2b-saas-marketing-agencies-2026/
  • 7 Best Marketing Agencies for AI Search Optimization in 2026 - The Ritz Herald - ZoomYourTraffic: https://zoomyourtraffic.com/7-best-marketing-agencies-for-ai-search-optimization-in-2026-the-ritz-herald/
  • Additional AI research evidence60 records
    1. AI research evidence record openai:rampiq_audit_page
    2. AI research evidence record anthropic:25-1
    3. AI research evidence record openai:rampiq_audit_page
    4. AI research evidence record openai:rampiq_services_page
    5. AI research evidence record openai:rampiq_playbook
    6. AI research evidence record openai:rampiq_visibility_program
    7. AI research evidence record grok:12
    8. AI research evidence record openai:rampiq_audit_page
    9. AI research evidence record google:1.1.3
    10. AI research evidence record perplexity:c1
    11. AI research evidence record openai:rampiq_playbook
    12. AI research evidence record anthropic:28-4
    13. AI research evidence record openai:rampiq_visibility_program
    14. AI research evidence record anthropic:3-2
    15. AI research evidence record anthropic:28-3
    16. AI research evidence record perplexity:c12
    17. AI research evidence record kimi:rampiq-site
    18. AI research evidence record openai:rampiq_visibility_program
    19. AI research evidence record grok:12
    20. AI research evidence record perplexity:c4
    21. AI research evidence record perplexity:c7
    22. AI research evidence record anthropic:38-7
    23. AI research evidence record anthropic:38-8
    24. AI research evidence record deepseek:c1
    25. AI research evidence record deepseek:c2
    26. AI research evidence record perplexity:c5
    27. AI research evidence record deepseek:c3
    28. AI research evidence record openai:rampiq_audit_page
    29. AI research evidence record openai:rampiq_services_page
    30. AI research evidence record openai:rampiq_playbook
    31. AI research evidence record openai:rampiq_visibility_program
    32. AI research evidence record perplexity:c3
    33. AI research evidence record perplexity:c14
    34. AI research evidence record anthropic:1-1
    35. AI research evidence record openai:rampiq_case_study
    36. AI research evidence record anthropic:3-1
    37. AI research evidence record anthropic:10-1
    38. AI research evidence record google:2.1.3
    39. AI research evidence record openai:rampiq_visibility_program
    40. AI research evidence record grok:12
    41. AI research evidence record perplexity:c7
    42. AI research evidence record anthropic:38-7
    43. AI research evidence record anthropic:38-8
    44. AI research evidence record google:2.1.1
    45. AI research evidence record google:1.1.3
    46. AI research evidence record anthropic:38-7
    47. AI research evidence record anthropic:45-6
    48. AI research evidence record anthropic:38-7
    49. AI research evidence record anthropic:45-6
    50. AI research evidence record kimi:georaiser-services
    51. AI research evidence record kimi:turboaudit-ai
    52. AI research evidence record kimi:trirank-audit
    53. AI research evidence record kimi:rankecho-audit
    54. AI research evidence record kimi:viali-product
    55. AI research evidence record google:2.1.3
    56. AI research evidence record openai:rampiq_audit_page
    57. AI research evidence record google:1.1.3
    58. AI research evidence record perplexity:c1
    59. AI research evidence record openai:rampiq_visibility_program
    60. AI research evidence record perplexity:c7

Other Sources

  • Additional AI research evidence60 records
    1. AI research evidence record openai:rampiq_audit_page
    2. AI research evidence record anthropic:25-1
    3. AI research evidence record openai:rampiq_audit_page
    4. AI research evidence record openai:rampiq_services_page
    5. AI research evidence record openai:rampiq_playbook
    6. AI research evidence record openai:rampiq_visibility_program
    7. AI research evidence record grok:12
    8. AI research evidence record openai:rampiq_audit_page
    9. AI research evidence record google:1.1.3
    10. AI research evidence record perplexity:c1
    11. AI research evidence record openai:rampiq_playbook
    12. AI research evidence record anthropic:28-4
    13. AI research evidence record openai:rampiq_visibility_program
    14. AI research evidence record anthropic:3-2
    15. AI research evidence record anthropic:28-3
    16. AI research evidence record perplexity:c12
    17. AI research evidence record kimi:rampiq-site
    18. AI research evidence record openai:rampiq_visibility_program
    19. AI research evidence record grok:12
    20. AI research evidence record perplexity:c4
    21. AI research evidence record perplexity:c7
    22. AI research evidence record anthropic:38-7
    23. AI research evidence record anthropic:38-8
    24. AI research evidence record deepseek:c1
    25. AI research evidence record deepseek:c2
    26. AI research evidence record perplexity:c5
    27. AI research evidence record deepseek:c3
    28. AI research evidence record openai:rampiq_audit_page
    29. AI research evidence record openai:rampiq_services_page
    30. AI research evidence record openai:rampiq_playbook
    31. AI research evidence record openai:rampiq_visibility_program
    32. AI research evidence record perplexity:c3
    33. AI research evidence record perplexity:c14
    34. AI research evidence record anthropic:1-1
    35. AI research evidence record openai:rampiq_case_study
    36. AI research evidence record anthropic:3-1
    37. AI research evidence record anthropic:10-1
    38. AI research evidence record google:2.1.3
    39. AI research evidence record openai:rampiq_visibility_program
    40. AI research evidence record grok:12
    41. AI research evidence record perplexity:c7
    42. AI research evidence record anthropic:38-7
    43. AI research evidence record anthropic:38-8
    44. AI research evidence record google:2.1.1
    45. AI research evidence record google:1.1.3
    46. AI research evidence record anthropic:38-7
    47. AI research evidence record anthropic:45-6
    48. AI research evidence record anthropic:38-7
    49. AI research evidence record anthropic:45-6
    50. AI research evidence record kimi:georaiser-services
    51. AI research evidence record kimi:turboaudit-ai
    52. AI research evidence record kimi:trirank-audit
    53. AI research evidence record kimi:rankecho-audit
    54. AI research evidence record kimi:viali-product
    55. AI research evidence record google:2.1.3
    56. AI research evidence record openai:rampiq_audit_page
    57. AI research evidence record google:1.1.3
    58. AI research evidence record perplexity:c1
    59. AI research evidence record openai:rampiq_visibility_program
    60. AI research evidence record perplexity:c7

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Study date
September 18, 2026
Platforms analyzed
7
Source records
33
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#3

Research trail and source mix

Configured platforms

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

Source mix

8 independent · 24 company-owned · 1 unclear

Evidence support

27 direct · 6 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 e34047c324f0c524470bad75a41dd5cb41dfe47722c3ed6034f5b2de828328fb