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AI Consensus Index

Best AI Search Audit Companies Overall

AI Search Engineers is the consensus leader for AI search audit companies in this 7-platform study, named by 3 of 7 platforms (42.9%) with an average listed position of 1.33 and a best position of 1.

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

Answer Capsule

AI Search Engineers is the consensus leader for AI search audit companies in this 7-platform study, named by 3 of 7 platforms (42.9%) with an average listed position of 1.33 and a best position of 1. Indexable AI is the strongest alternative for enterprise buyers needing a fast, fixed-scope 14-day diagnostic, and Profound is the leading software-first option for organizations that want recurring multi-engine monitoring rather than a one-time report. The study covered 7 platforms (OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google), named 46 unique entities, and qualified 10 that were named by at least two platforms. The principal limitation is that most supporting evidence is company-owned marketing material rather than independent validation, and several entities carry unresolved identity, pricing, or domain conflicts that buyers must verify directly.

Research Snapshot

  • Topic: Best AI search audit companies for companies seeking audits of AI search, generative-answer, and recommendation-platform visibility.
  • Target buyer: Companies seeking AI Search Audit Companies across AI search, generative-answer, and recommendation platforms, primarily in the United States.
  • Platforms included: OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google (7 platforms).
  • Research date: 2026-09-18 (authoritative run date). Platform-reported research dates differ for some platforms and are provenance metadata only; they do not independently prove freshness.
  • Unique entities named: 46.
  • Qualifying entities: 10.
  • Eligibility rule: An entity qualified only if it was named by at least two of the seven included platforms during ranking discovery.
  • Ranking rule: Order is based on platform mentions, then average listed rank, then best listed rank. The final ranking table is the sole authority for rank, mentions, share, average rank, and best rank.
  • Method: One standardized prompt was sent once to each included platform. Platform mentions count only platforms that named the entity during ranking discovery, not platforms that later completed a fit assessment.

The Consensus Ranking

Questions This Section Answers

  • What are the best AI search audit companies for companies that need audits of AI search, generative-answer, and recommendation platforms in 2026?
  • Which AI search audit provider has the most cross-platform consensus among ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, and Kimi?

The table below is the authoritative ranking for this study. Platform mentions reflect ranking-discovery mentions only. Share of platform responses is calculated against the 7 included platforms.

RankEntityPlatform mentionsAverage listed positionBest positionBest considered for
1AI Search Engineers31.331U.S. professional-service businesses needing a one-time diagnostic of AI recommendations, citations, entity consistency, structured data, source coverage, topical authority, and competitor displacement.; Buyers seeking an agency-led audit and prioritized authority-building roadmap rather than self-service monitoring software.; Law firms and other local or jurisdiction-sensitive service businesses, where the company states it has deeper specialization.
2Indexable AI21.001Enterprise brands needing a 14-day baseline and executive-ready action plan.; SEO, content, growth, and marketing teams that want competitive prompt and citation analysis.; Companies needing practical recommendations spanning content, technical readiness, schema, and authority-oriented gaps.
3Profound22.501Enterprise or growth-stage brands with dedicated AEO, SEO, content, PR, or brand teams.; Buyers needing multi-engine monitoring, competitor comparison, citation analysis, prompt customization, daily tracking, exports, API access, and support.; Organizations able to validate data methodology and act on recommendations internally.
4Helium SEO22.502Companies seeking an agency-produced audit and prioritized recommendations across ChatGPT, Perplexity, Gemini, and related AI search surfaces.; Marketing teams that want audit findings translated into content, outreach, schema, site-architecture, and competitive actions.; Businesses needing topic-cluster and buyer-intent analysis rather than only a technical crawler report.
5TriRank23.002Companies seeking a one-time diagnostic of AI citations, competitor mentions, prompt coverage, and technical/content gaps.; Marketing or SEO teams that want prioritized recommendations and screenshots of actual AI answers.; Buyers evaluating AI-search visibility before committing to ongoing monitoring or content work.
6BeCited23.503Companies wanting a one-time, strategy-oriented generative-answer and recommendation audit.; Marketing or SEO teams needing prompt-level competitor and citation-source gaps.; Businesses that value analyst review and a prioritized 90-day action plan over a dashboard.
7OtterlyAI23.503Small and mid-sized companies validating AI-search visibility.; Marketing or SEO teams needing prompt-level mentions, cited URLs, competitor comparisons, and recurring recommendations.; Agencies needing multi-country reporting, exports, API/MCP access, and GEO audit capacity.
8Mercury Technology Solutions24.503Companies wanting an audit-plus-roadmap engagement rather than software-only monitoring.; Enterprise or growth brands needing cross-engine measurement across ChatGPT, Gemini, Perplexity, Google AI Overviews, Claude, or Copilot.; Organizations that value technical GEO, content, authority, entity, and citation analysis in one engagement.
9ReAudit25.005Companies wanting one platform for AI-search audits, prompt monitoring, citations, competitors, and content recommendations.; Marketing teams needing actionable technical and content fixes rather than visibility reporting alone.; Agencies needing multi-project capacity, white-labeling, API access, exports, and presales demonstrations.
10Veza Digital25.505B2B companies needing a one-time strategic AI-search visibility diagnostic; Buyers wanting custom buyer prompts and competitor comparisons rather than a generic automated scan; Marketing teams needing a prioritized 90-day implementation roadmap

Which Option Is Best for Which Version of the Buyer Need?

Questions This Section Answers

  • Which AI search audit company should a buyer choose if they need a one-time diagnostic rather than ongoing monitoring?
  • Is a software platform or an agency-led audit better for a company that needs citation architecture and competitor gap analysis?
  • Which AI search audit provider is best for a small or mid-sized company with a limited budget?
Buyer needBest-fit optionWhy it fitsMain tradeoff
One-time diagnostic for a U.S. professional-services firmAI Search EngineersSix-dimension audit covering entity recognition, structured data, citations, brand consistency, topical authority, and controlled prompts across five named enginesPricing undisclosed; domain identity conflict between.com and.ai
Fast enterprise baseline with executive-ready planIndexable AIFixed-scope 14-day diagnostic across six platforms with stack-ranked priorities and a strategist workshopAudit price not published; point-in-time only
Recurring multi-engine monitoring with citation and prompt intelligenceProfoundEnterprise tier tracks citations, sentiment, ranking, and competitive presence across up to nine answer enginesCurrent official pricing shows Trial and custom Enterprise; the supplied $399 Growth price is unverified
Agency-led audit plus implementation roadmapHelium SEOAI Deep Dive Audit runs 250+ high-intent prompts and produces content, outreach, schema, and site-architecture recommendationsNo.
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1. AI Search Engineers

Questions This Section Answers

  • Is AI Search Engineers worth it for a U.S. professional-services firm that needs an AI search audit, and what are its main drawbacks?
  • What should a buyer verify before hiring AI Search Engineers for an AI visibility audit given the conflicting.com and.ai domains?

AI Search Engineers ranks first because it was named by 3 of 7 platforms (42.9%) at an average listed position of 1.33, the only entity in this study named by three platforms. Its AI Search Visibility Audit and AI Visibility Audit Service (AEO Verified) are positioned for professional-service businesses that are absent or inconsistently visible in AI-generated answers [1]. The audit is described as covering six dimensions: entity recognition, structured data, trusted-source citations, brand-signal consistency, topical authority, and controlled prompt testing across ChatGPT, Google Gemini, Microsoft Copilot, Perplexity, and Grok [2].

Why it ranked here. Three platforms named it, and two of those placed it first. Anthropic rated fit "strong," citing the professional-services specialization and a research base drawn from 50+ completed audits [3]. Perplexity rated fit "mixed," noting that public evidence is mostly company-authored or syndicated launch coverage [4]. OpenAI also rated fit "mixed," flagging that the requested.com domain timed out during verification while public identity evidence points to aisearchengineers.ai [5].

Best suited for. U.S. professional-service businesses — law firms, medical practices, financial advisors, and B2B service firms — that want an agency-led diagnostic plus a prioritized authority-building roadmap rather than self-service monitoring software [6].

Main strengths for the use case. The audit explicitly addresses recommendations, mentions, citations, competitor displacement, entity consistency, structured data, and topical-authority gaps [1]. The company reports that across 50+ audits, businesses achieving the fastest results deployed structured data and secured at least one trusted source citation simultaneously, with initial visibility results in 30–90 days in most cases [7]. It also claims Tier 1 AEO Verified status under a company-authored AEO Differentiation Standard [8].

Main limitations. Pricing is not publicly disclosed for either the AI Search Visibility Audit or the AEO Verified service [1]. The official domain is unresolved: the supplied site is aisearchengineers.com, but the publicly indexed company site and LinkedIn profile identify aisearchengineers.ai, and the relationship between the domains is unverified [5]. The "only AEO Verified agency" claim is self-reported under a standard authored by the same company, with no independent registry or third-party validation located [8]. Scope is explicitly limited to professional-service verticals; eCommerce, SaaS, and consumer retail are not targeted [9].

2. Indexable AI

Questions This Section Answers

  • Is Indexable AI or AI Search Engineers better for an enterprise that needs a fast AI search audit with an executive-ready action plan?
  • What does the Indexable AI 14-Day AI Search Audit cost, and which platforms does it cover?

Indexable AI ranks second with 2 platform mentions (28.6%), an average listed position of 1.00, and a best position of 1. Its 14-Day AI Search Audit is a fixed-scope diagnostic that measures visibility across ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews, and Google AI Mode [10]. Deliverables include a stack-ranked priority list with effort and impact scoring, quick wins, strategic fixes, and a 30-day execution plan [11].

Why it ranked here. Both platforms that named it placed it first, producing the best average listed position in the study. Grok and Google rated fit "strong" [12]. OpenAI, Anthropic, Kimi, and Perplexity rated fit "good" [10]. DeepSeek rated fit "uncertain" because public pages did not verify methodology, deliverables, or pricing [17].

Best suited for. Enterprise brands needing a 14-day baseline and executive-ready action plan, and SEO, content, growth, or marketing teams that want competitive prompt and citation analysis [10].

Main strengths for the use case. The audit combines Brand Radar prompt monitoring, manual prompt testing, and competitive citation tracking, with outputs covering platform-level visibility, competitor wins, share of voice, and a citation-gap measure [18]. It includes a schema audit of the top 50 pages by traffic, inventories present, missing, and broken JSON-LD types, and ranks fixes by claimed citation-lift potential [19]. A 60-to-90-minute workshop with a Forward Deployed SEO Strategist is included, and the company states the founder leads every audit [20]. The company also states that if the audit identifies a gap the buyer can fix in-house, the deliverables stand alone with no platform purchase required [21].

Main limitations. Public pricing for the 14-Day AI Search Audit and the Enterprise variant was not located on the reviewed product page [10]. The audit is a point-in-time diagnostic and does not include ongoing tracking; continuous monitoring requires the broader platform [22]. Public materials do not clearly specify a standalone deliverable listing influential source domains, third-party mentions, review sites, or authority-gap remediation by domain [10]. No public customer reviews, G2 ratings, or documented case studies were found, and the sales model requires direct contact with the founder [14].

Pricing or cost summary. The audit price is unclear; no public amount was identified in the reviewed materials [10].

3. Profound

Questions This Section Answers

  • Is Profound worth it for an enterprise that needs recurring AI search monitoring rather than a one-time audit, and what are its main drawbacks?
  • Which AI engines does Profound track, and what does the Growth plan include compared with Enterprise?

Profound ranks third with 2 platform mentions (28.6%), an average listed position of 2.50, and a best position of 1. It is a software platform rather than a services engagement, positioned around Answer Engine Insights that analyze brand and competitor appearance and track citations, sentiment, ranking, and competitive presence [23]. Enterprise is listed as capable of tracking ChatGPT, Perplexity, Google AI Mode, Google Gemini, Microsoft Copilot, DeepSeek, Anthropic Claude, Google AI Overviews, and Exa Search, with custom languages and regions [23].

Why it ranked here. OpenAI placed it first and Anthropic placed it fourth, producing a 2.50 average. OpenAI rated fit "good" and described it as suitable for structured measurement of mentions, recommendations, citations, sentiment, competitive presence, and prompt performance [23]. Anthropic rated fit "good" and noted that Growth Plan limitations to three engines and 100 prompts may force Enterprise contracts for truly comprehensive audits [24].

Best suited for. Enterprise or growth-stage brands with dedicated AEO, SEO, content, PR, or brand teams, and buyers needing multi-engine monitoring, competitor comparison, citation analysis, prompt customization, daily tracking, exports, API access, and support [23].

Main strengths for the use case. Profound classifies every cited source as Owned, Competitor, Earned Media, PR Wire, Social, or Institution, and can filter to any category [25]. Agent Analytics tracks which AI crawlers consume content and how frequently, revealing whether pages are accessible to AI systems [26]. Enterprise lists CSV and JSON exports, API access, unlimited seats, dedicated support options, SSO/SAML, and SOC 2 compliance [23]. Anthropic-reported evidence describes a 261M+ prompt database and G2 Winter 2026 AEO Category Leader recognition with a 4.5/5 rating across approximately 2,200 verified reviews [27].

Main limitations. The supplied Growth Plan price of $399/month is not shown on the current official pricing page checked on September 18, 2026, which displays a free Trial and custom Enterprise; the $399 figure should be treated as unverified until Profound confirms it in writing [23]. The Trial is limited to 10 prompts run once on ChatGPT only, which is insufficient for a serious cross-platform audit [23]. Citation-domain authority, recommendation causality, sampling methodology, and audit reproducibility are not sufficiently detailed publicly [23]. AI Marketer usage is credit-based, creating potentially variable ongoing costs [23].

4. Helium SEO

Questions This Section Answers

  • Is Helium SEO worth it for a company that wants an agency-produced AI search audit with a prioritized implementation roadmap?
  • What does the Helium SEO AI Deep Dive Audit include, and why do some sources question whether the product exists under that name?

Helium SEO ranks fourth with 2 platform mentions (28.6%), an average listed position of 2.50, and a best position of 2. Its AI Deep Dive Audit is described as running more than 250 high-intent prompts across leading LLM platforms, including ChatGPT, Perplexity, Gemini, and other AI search platforms [29]. The audit reports brand share of voice in AI answers, distinguishing primary mentions, secondary options, and absence, and analyzes where competitors are recommended and which third-party sites mention competitors but not the buyer [29].

Why it ranked here. DeepSeek placed it second and Kimi placed it third. DeepSeek rated fit "mixed," noting that public evidence is confined to the vendor's own marketing pages and a directory listing [30]. Kimi rated fit "uncertain," reporting that the AI Deep Dive Audit lacks publicly verifiable scope on engine coverage, prompt methodology, competitor benchmarking, citation architecture, and pricing [31].

Best suited for. Companies seeking an agency-produced audit and prioritized recommendations across ChatGPT, Perplexity, Gemini, and related AI search surfaces, and marketing teams that want audit findings translated into content, outreach, schema, site-architecture, and competitive actions [29].

Main strengths for the use case. The stated deliverables cover product-page gaps, missing competitor comparisons, implementation guides, buyer-objection answers, topical breadth versus depth, and off-site authority or citation targets [29]. The Competitive GEO Landscape Report benchmarks AI visibility against competitors by topic cluster and identifies competitor content or citations the buyer lacks [29]. Google-reported evidence describes a proprietary ORCA platform that samples eight answer engines — ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity, Claude, Grok, and Copilot — and performs claim-level verification against client documentation [32].

Main limitations. No public price for the AI Deep Dive Audit was found, and the relationship between the audit and the separate ORCA recurring-measurement platform is unclear [29]. Exact model versions, test locations, prompt dataset, repeatability, statistical treatment, and reporting format are not publicly specified [29]. Anthropic reported that no publicly documented product named "AI Deep Dive Audit" appears in Helium SEO's service portfolio across website, third-party reviews, or case-study materials, and that no mention of the product appears in Clutch, DesignRush, G2, or CBInsights profiles [34]. Grok likewise reported no public evidence of a service or page named "AI Deep Dive Audit" [36]. .

5. TriRank

Questions This Section Answers

  • Is TriRank worth it for a company that wants a low-cost one-time AI visibility audit, and what are its main drawbacks?
  • Does the TriRank $399 AEO audit include Google AI Overviews coverage, and is the price one-time or a monthly subscription?

TriRank ranks fifth with 2 platform mentions (28.6%), an average listed position of 3.00, and a best position of 2. Its AEO / AI Visibility Audit is advertised at $399 one-time per site with a stated 5–7 business-day delivery window and a full refund if no actionable opportunities are found [37]. The audit is described as a hands-on review of how five AI-search surfaces answer buyer questions, including who is cited instead, why, and what to change first [39].

Why it ranked here. Kimi placed it second and DeepSeek placed it fourth. Kimi rated fit "uncertain," reporting that trirankai.com returned no accessible content in search results and that no owned-source or independent documentation of the $399 audit could be located [40]. DeepSeek rated fit "uncertain," noting that the $399 price originates from the ranking stage rather than confirmed official-site pricing [41].

Best suited for. Companies seeking a one-time diagnostic of AI citations, competitor mentions, prompt coverage, and technical/content gaps, and marketing or SEO teams that want prioritized recommendations and screenshots of actual AI answers [39].

Main strengths for the use case. TriRank publicly describes checks for structured data, FAQ-schema consistency, robots.txt, AI-crawler reachability, root files such as llms.txt, and cited pages [42]. Google-reported evidence describes live, structured citation probes across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews using real queries buyers ask, measuring actual citation URLs rather than fuzzy text estimates [43]. The audit also checks physical access for major AI user-agents such as GPTBot, ClaudeBot, and PerplexityBot by comparing robots.txt directives against real server response codes and Cloudflare AI-blocking flags [44]. TriRank connects directly with Google Search Console via read-only API scopes to pair real traffic clicks and impressions against measured AI citation visibility [45].

Main limitations. Anthropic reported that the recommended offering is listed as "$399 one-time," but all accessible pricing documentation shows $399 as a monthly subscription tier for the Scale plan, not a one-time audit fee — a critical ambiguity [46]. Google AI Overviews coverage is stated as "coming soon" in one bundle, which is a material gap since AI Overviews appear on roughly 70% of queries [46].

6. BeCited

Questions This Section Answers

  • Is BeCited worth it for a company that wants a human-reviewed AI search audit with a 90-day action plan, and what are its main drawbacks?
  • What is the difference between the BeCited $199 Snapshot and the $2,000 Full Audit, and which engines does each cover?

BeCited ranks sixth with 2 platform mentions (28.6%), an average listed position of 3.50, and a best position of 3. Its Full Audit is listed at $2,000 one-time with a stated one-week delivery, testing 100–300 buying-intent prompts across ChatGPT, Gemini, Perplexity, and Claude [48]. The Snapshot is $199 one-time with stated 48-hour delivery, covering 10 buying-intent prompts on Perplexity only, with the $199 credited toward the Full Audit within 30 days [48].

Why it ranked here. DeepSeek placed it third and Kimi placed it fourth. DeepSeek rated fit "uncertain," noting that independent verification of methodology, scope, deliverable quality, and pricing is lacking [49]. Kimi rated fit "mixed," citing the high-touch manual approach and its scalability, speed, and cost limitations [50].

Best suited for. Companies wanting a one-time, strategy-oriented generative-answer and recommendation audit, and marketing or SEO teams needing prompt-level competitor and citation-source gaps [48].

Main strengths for the use case. BeCited states that the Full Audit maps every platform AI cites for the category and provides a Source Influence Map, with sources tiered by category-specific AI trust rather than general Domain Authority [48]. Every answer is personally reviewed, brand variants are matched manually, and competitor lists are narrowed to relevant competitors; the methodology page reports a 72% blind inter-rater agreement and Cohen's kappa of 0.722, though this is company-published evidence [51]. The Full Audit includes a prioritized 90-day action plan, persona-matched analysis, and a 45-minute strategy session [48]. Anthropic-reported evidence notes that the methodology cites a 75,000-brand study showing brand mentions (0.664 correlation) as a stronger predictor than backlinks (0.218) for AI citability [52].

Main limitations. Coverage is limited to four named AI engines; other generative-answer, shopping, local, or recommendation platforms are not publicly included [48]. The service is analyst-led and report-based rather than a self-service monitoring platform, and results are point-in-time measurements that cannot guarantee future visibility [48]. Public methodology and case-study evidence are company-controlled, and independent validation is not apparent [48]. The website contains an apparent inconsistency: the Full Audit is described as having 19 site-readiness checks in some sections, while the case-studies page describes 15 checks [53].

7. OtterlyAI

Questions This Section Answers

  • Is OtterlyAI worth it for a small or mid-sized company that needs affordable AI search monitoring plus a GEO audit, and what are its main drawbacks?
  • Which AI engines are included in the OtterlyAI base plans, and how much do the Gemini, Google AI Mode, and Claude add-ons cost?

OtterlyAI ranks seventh with 2 platform mentions (28.6%), an average listed position of 3.50, and a best position of 3. It combines recurring AI-search monitoring with a dedicated GEO Audit rather than offering monitoring alone [54]. Base plans cover ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot, with Google AI Mode, Gemini, and Claude listed as paid add-ons on the official pricing page [54].

Why it ranked here. Anthropic placed it third and OpenAI placed it fourth. Anthropic rated fit "good" and described the GEO Audit as genuinely differentiated, with citation tracking more granular than most competitors offer [55]. OpenAI rated fit "good" but noted that prompt capacity and some engine coverage are usage-priced [54].

Best suited for. Small and mid-sized companies validating AI-search visibility, marketing or SEO teams needing prompt-level mentions, cited URLs, competitor comparisons, and recurring recommendations, and agencies needing multi-country reporting, exports, API/MCP access, and GEO audit capacity [54].

Main strengths for the use case. The GEO Audit evaluates 25+ AI-visibility factors across crawlability, content readiness, and query fan-out, checking robots.txt, JavaScript rendering, page speed, structured data, and E-E-A-T signals, and generating prioritized fix lists [56]. Link Citations Analysis and cited-URL visibility are explicitly listed capabilities [54]. The official pricing page lists support for more than 50 countries, detailed reports and export, and Looker Studio connectivity on Standard and Premium [54]. All plans include unlimited team members and support multiple workspaces, with agency plans offering client-specific workspaces and white-label reporting [58].

Main limitations. Low-end prompt limits may be insufficient for large brands, many products, or extensive competitor sets [54]. Important engine coverage can increase total cost because Google AI Mode, Gemini, and Claude are separately priced [54]. The product appears to diagnose and recommend rather than execute content, technical, authority, or digital-PR changes [54]. Methodology for visibility scoring, citation influence, competitor normalization, and recommendation validation is not fully documented in the reviewed public materials [54]. No independently verified evidence was found proving that OtterlyAI visibility metrics predict traffic, conversions, or revenue [54]. Anthropic-reported evidence notes a 7-day refresh lag on some data points and no direct traffic attribution from AI search visibility to website conversions or pipeline [59]. .

8. Mercury Technology Solutions

Questions This Section Answers

  • Is Mercury Technology Solutions worth it for a U.S. company that needs an AI search audit, given its Hong Kong and APAC focus?
  • What does the Mercury GEO Audit Report include, and why do some platforms report that no such product exists on its website?

Mercury Technology Solutions ranks eighth with 2 platform mentions (28.6%), an average listed position of 4.50, and a best position of 3. Its GEO Audit Report is described as measuring visibility across ChatGPT, Google Gemini, Perplexity, Claude, and Microsoft Copilot, with a six-dimension framework covering AI Citability (25%), Content Quality (20%), E-E-A-T Signals (20%), Technical GEO (15%), Brand Authority (10%), and Platform Optimization (10%) [60]. The broader audit page also references Google AI Overviews and reports Citation Frequency, Share of Voice, and Recommendation Rank across core engines [61].

Why it ranked here. Perplexity placed it third and Grok placed it sixth. Perplexity rated fit "good," noting that the GEO Audit Report aligns closely with the use case but that the decision should be contingent on verifying pricing, deliverables, methodology transparency, and the lack of independent evidence [62]. Grok rated fit "mixed," citing limited independent evidence and geographic focus [63].

Best suited for. Companies wanting an audit-plus-roadmap engagement rather than software-only monitoring, enterprise or growth brands needing cross-engine measurement, and organizations that value technical GEO, content, authority, entity, and citation analysis in one engagement [64].

Main strengths for the use case. Mercury states that it runs commercial prompt panels and evaluates whether AI engines mention, cite, recommend, displace, or ignore a brand, with fixed monthly panels of 50–200 prompts per client [65]. Reported deliverables include an AI citation heatmap, citation-share measurement, source attribution, and an A.C.I.D. framework that includes Citation Architecture [64]. The audit framework covers Content Quality, E-E-A-T Signals, Technical GEO, Brand Authority, Platform Optimization, crawlability, indexation, rendering, structured data, content intent, entity consistency, and influential third-party sources, with a prioritized 90-day roadmap [64]. Enterprise GEO audits can include industry-specific query sets, expanded competitive benchmarking up to 10 competitors, and executive reporting [66].

Main limitations. Mercury describes itself as Hong Kong-based and emphasizes Hong Kong, APAC, bilingual, and market-specific engagements; the reviewed pages do not clearly establish U.S.-specific prompt panels, U.S.-local source coverage, U.S. customer references, or a U.S. delivery team [67]. Scoring weights, agent prompts, and ranking heuristics remain proprietary, limiting independent replication [68]. Public pricing is for GEO programmes rather than a clearly itemized GEO Audit Report [69].

9. ReAudit

Questions This Section Answers

  • Is ReAudit worth it for a company that wants one platform for AI search audits, prompt monitoring, citations, and content recommendations?
  • What does the ReAudit Starter plan cost, and which AI engines are included versus sold as add-ons?

ReAudit ranks ninth with 2 platform mentions (28.6%), an average listed position of 5.00, and a best position of 5. It combines a technical AI-search audit with generative-answer visibility monitoring, citation analysis, competitor tracking, and a prioritized optimization workflow [70]. The free AI SEO Audit checks robots.txt, LLMs.txt, structured data, meta tags, content readability, quick wins, and competitor insights, while the Optimization Station advertises single-page or full-site audits up to 10,000 pages [71].

Why it ranked here. Both platforms that named it placed it fifth. DeepSeek rated fit "uncertain," noting that the only sources located are ReAudit's own site and thin third-party listings, with no independent testing, transparent methodology, or verifiable pricing [72]. Kimi rated fit "uncertain," reporting that ReAudit's website was inaccessible or unresponsive during research and that no independent reviews, directory listings, or third-party coverage were found [73].

Best suited for. Companies wanting one platform for AI-search audits, prompt monitoring, citations, competitors, and content recommendations, and agencies needing multi-project capacity, white-labeling, API access, exports, and presales demonstrations [70].

Main strengths for the use case. ReAudit claims citation tracking, source analysis, reverse citation lookup, and identification of URLs cited by prompts [74]. The AI Visibility platform claims prompt generation based on industry and search intent, brand mentions, recommendation scenarios, competitor positioning, geographic tracking, and monitoring across ChatGPT, Perplexity, Google AI Overview, Google AI Mode, Gemini, and additional engines depending on plan or add-on [75]. Paid plans include visibility tracking, analytics, competitor intelligence, data retention, reports or exports, and integrations, with PDF reports, CSV exports, alerts, Data Studio export, and integrations with GA4, Search Console, Bing, Cloudflare, and Microsoft Clarity [76]. Anthropic-reported evidence describes an MCP server exposing 162–180 tools that let AI agents operate the platform via natural language [77].

Main limitations. Most evidence is vendor-reported, and independent validation of accuracy and comparative performance was not found [70]. Public documentation does not fully disclose prompt sampling, geographic controls, answer reproducibility, source-weighting methodology, or citation completeness [70]. Model coverage and pricing details differ between the current pricing page and an older company blog: the pricing page lists five included engines and additional engines as add-ons, while a company blog describes eleven major engines [79].

10. Veza Digital

Questions This Section Answers

  • Is Veza Digital worth it for a B2B SaaS company that needs a one-time AI search visibility audit with 30-day tracking?
  • What does the Veza Digital $4,500 AI Search Visibility Audit include, and is the fee credited toward a retainer?

Veza Digital ranks tenth with 2 platform mentions (28.6%), an average listed position of 5.50, and a best position of 5. Its AI Search Visibility Audit is advertised at $4,500 fixed for a comprehensive audit across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Copilot [80]. The audit is described as testing 50 to 100 custom prompts derived from the buyer's keyword universe, competitor analysis, sales-team input, and industry questions, with client review and approval before tracking [80].

Why it ranked here. Google placed it fifth and Anthropic placed it sixth. Google rated fit "strong," describing the audit as a highly detailed, human-guided, multi-platform engagement with 30 days of continuous tracking [81]. Anthropic rated fit "good" but noted the six-week timeline and Webflow-centric implementation model [82].

Best suited for. B2B companies needing a one-time strategic AI-search visibility diagnostic, buyers wanting custom buyer prompts and competitor comparisons rather than a generic automated scan, and marketing teams needing a prioritized 90-day implementation roadmap [80].

Main strengths for the use case. The stated scope includes which platforms cite the brand, citation frequency, cited pages, citation accuracy, competitor recommendations, and citation stability or volatility over 30 days [80]. The audit includes head-to-head analysis against up to three competitors and a competitive gap map showing queries and topics where competitors appear and the buyer does not [80]. The advertised review covers schema types, AI-crawler access, page speed, semantic HTML, content gaps, entity analysis, and a 90-day prioritized action plan [80]. Stated deliverables are a 30-page report, 30 days of raw citation data, a 90-day action plan, and a 60-minute strategy call [80]. A free AEO audit is also available, manually reviewed across the same six platforms in 5 business days [84].

Main limitations. The audit is a consulting deliverable, not clearly a continuing software product or dashboard subscription [80]. Coverage of recommendation platforms beyond the six named AI-search environments is unclear [80]. Public materials do not fully define source-domain influence analysis, citation-architecture diagnostics, sampling controls, or independent validation [80]. The six-week approximate timeline may not suit buyers needing immediate results [80]. The strongest implementation support is stated to be for Webflow; non-Webflow buyers may need internal or third-party implementation resources [83].

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

  • What does the cross-platform AI consensus reveal about which AI search audit companies are most trusted in 2026?
  • Why do AI platforms recommend different AI search audit companies for the same buyer need?

The AI search audit market in this study is fragmented by delivery model rather than by capability. The ten qualifying entities split into three groups: agency-led audits (AI Search Engineers, Helium SEO, BeCited, Mercury Technology Solutions, Veza Digital), software platforms with audit modules (Profound, OtterlyAI, ReAudit), and fixed-scope productized diagnostics (Indexable AI, TriRank). No single entity spans all three models, which means buyers are effectively choosing a delivery model before they choose a vendor.

A second pattern is that pricing transparency is inversely related to ranking position. The top-ranked entity, AI Search Engineers, publishes no audit price [85]. The second-ranked entity, Indexable AI, publishes platform pricing but not audit pricing [86]. The lowest-ranked entities in this study — TriRank at $399 one-time and Veza Digital at $4,500 fixed — publish the clearest audit prices [87]. Buyers who need budget certainty before shortlisting will find that the highest-consensus vendors require a sales conversation first.

A third pattern is that engine coverage claims are the most contested dimension.

Where the AI Platforms Agreed

Questions This Section Answers

  • Which AI search audit capabilities do ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, and Kimi agree that buyers should require?

Platforms converged on several points. First, every platform that assessed AI Search Engineers, Indexable AI, Profound, Helium SEO, TriRank, BeCited, OtterlyAI, Mercury Technology Solutions, ReAudit, and Veza Digital agreed that the core audit dimensions are recommendations, mentions, citations, prompts, competitor performance, citation architecture, influential source domains, content and authority gaps, and practical improvement opportunities. No platform disputed that these are the relevant evaluation criteria.

Second, platforms agreed that pricing opacity is a material buyer risk. OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google all flagged undisclosed or inconsistent pricing for at least one ranked entity [89].

Third, platforms agreed that AI answers are probabilistic and that no audit can guarantee future visibility or citation outcomes. BeCited's terms state that audits are point-in-time diagnostics and that AI outputs can change because of model, index, training-data, and competitor changes [99]. Profound's evidence notes that the platform cannot establish that an optimization change caused a future recommendation or citation [91].

Where the AI Platforms Disagreed

Questions This Section Answers

  • Where do AI platforms disagree about the best AI search audit company, and how should a buyer weigh conflicting fit ratings?

Fit ratings diverged sharply for several entities. AI Search Engineers received "strong" from Anthropic, "good" from Google, "mixed" from OpenAI and Perplexity, and "uncertain" from DeepSeek, Grok, and Kimi [100]. The disagreement centers on whether company-published methodology and press-release evidence are sufficient for a purchase decision.

Mercury Technology Solutions produced the widest spread: "good" from Anthropic, Google, and Perplexity; "mixed" from Grok and OpenAI; "weak" from DeepSeek; and "uncertain" from Kimi [107]. DeepSeek reported that no product named "GEO Audit Report" exists on the official website, while Anthropic and Perplexity described detailed six-dimension deliverables from the same site [112].

ReAudit produced a similar split: "strong" from Google, "good" from Anthropic, OpenAI, and Perplexity, "mixed" from Grok, and "uncertain" from DeepSeek and Kimi [114].

How Buyers Should Choose

Questions This Section Answers

  • What should a buyer check before choosing an AI search audit company for a one-time diagnostic or ongoing monitoring?
  • Which AI search audit company should a buyer choose if they need published pricing before contacting sales?

Start with the delivery model. If the buyer needs a one-time diagnostic with a prioritized roadmap, the agency-led and productized options — AI Search Engineers, Indexable AI, Helium SEO, TriRank, BeCited, Mercury Technology Solutions, and Veza Digital — are the relevant set. If the buyer needs recurring measurement with historical trends and alerts, the software-first options — Profound, OtterlyAI, and ReAudit — are the relevant set.

Then apply the pricing filter. Buyers who require published pricing before a sales conversation should start with TriRank ($399 one-time, subject to the pricing conflict), BeCited ($199 Snapshot and $2,000 Full Audit), OtterlyAI ($29–$489/month plus engine add-ons), ReAudit (€50–€799/month), and Veza Digital ($4,500 fixed). Buyers who can tolerate a quote-based process can include AI Search Engineers, Indexable AI, Helium SEO, and Mercury Technology Solutions.

Then verify engine coverage in writing. Ask which exact engines, model versions, regions, languages, and search surfaces are included in the quoted plan, and whether any are sold as add-ons.

Methodology

This study used one standardized prompt sent once to each of seven included platforms: OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google. The prompt asked which companies would be recommended for a comprehensive AI search audit covering recommendations, mentions, citations, important prompts, competitor performance, citation architecture, influential source domains, content and authority gaps, and practical opportunities for improvement.

The final ranking table is the sole authority for rank, platform mentions, platform share, average listed position, and best listed rank. Order is determined by platform mentions first, then average listed rank, then best listed rank. Platform mentions count only platforms that named the entity during ranking discovery, not platforms that later completed a fit assessment.

An entity qualified for this index only if it was named by at least two of the seven included platforms. Of 46 unique entities named across the run, 10 qualified. Each qualifying entity was then assessed against the buyer need using the entity evidence bundles, which include platform-reported fit ratings, use-case findings, pricing and terms, strengths, limitations, disagreements, and verification questions.

Citations in this article are platform-reported evidence, not independently verified facts. Company-owned sources are distinguished from independent sources where the evidence bundles provide that information. The URLs collected from platform responses were not independently validated by the writer stage.

Methodology Limitations

Several limitations apply. First, the study used one standardized prompt sent once to each platform. AI answers can vary by date, wording, location, account state, model, interface, browsing configuration, and the sources retrieved. A single run is a snapshot, not a stable measurement.

Second, platform-reported research dates differ from the authoritative run date of 2026-09-18. DeepSeek reported 2026-01-15 for AI Search Engineers, 2026-06-12 for Indexable AI, 2026-02-14 for Profound, 2026-01-15 for Helium SEO, 2026-06-12 for TriRank, 2026-06-30 for BeCited, 2026-06-30 for OtterlyAI, 2026-06-02 for Veza Digital, and 2026-01-15 for ReAudit. These dates are provenance metadata and do not independently prove freshness.

Third, platform recommendations are market intelligence, not independent customer reviews or proof of quality. A high ranking reflects how often and how highly platforms named an entity, not verified performance.

Fourth, company-owned citations materially outnumber independent citations for most entities. This means many capability, pricing, and outcome claims rest on vendor self-description.

Fifth, several entities carry unresolved identity, domain, pricing, or product-name conflicts. These are described in the relevant ranked sections and should be verified directly with each vendor before purchase.

Sixth, the deterministic identity audit flagged conflicting official domains for AI Search Engineers and Profound, and used exact-name fallbacks with unverified domain retention. Mercury Technology Solutions had one or more fetched domains that were not corroborated by brand name or site identity metadata.

Final Verdict

AI Search Engineers is the consensus leader for AI search audit companies in this 7-platform study, named by 3 of 7 platforms at an average listed position of 1.33. Its six-dimension audit framework maps directly to the buyer need, but its undisclosed pricing, unresolved domain identity, and company-authored verification standard mean buyers should treat it as a strong candidate requiring direct verification rather than a settled choice.

Indexable AI is the strongest alternative for enterprise buyers who need a fast, fixed-scope diagnostic with an executive-ready plan, and Profound is the leading software-first option for organizations that want recurring multi-engine monitoring. Helium SEO, TriRank, BeCited, OtterlyAI, Mercury Technology Solutions, ReAudit, and Veza Digital each serve distinct buyer situations, from low-cost one-time audits to integrated audit-and-monitoring platforms.

The single most important takeaway is that no entity in this study combines high cross-platform consensus, published pricing, verified identity, and independent outcome validation. Buyers should use this index to build a shortlist, then verify scope, engine coverage, deliverables, raw-data access, contracting entity, and total cost directly with each vendor before committing.

Frequently Asked Questions

Which company is the consensus leader for AI search audits in this study?

AI Search Engineers, named by 3 of 7 platforms (42.9%) at an average listed position of 1.33 and a best position of 1.

How many platforms were studied?

Seven: OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google.

How many entities qualified for the ranking?

Ten of 46 unique entities named, using the rule that an entity must be named by at least two platforms.

What is the cheapest published audit in this study?

BeCited's Snapshot at $199 one-time for 10 buying-intent prompts on Perplexity, followed by TriRank's advertised $399 one-time audit, subject to the pricing conflict described in its section.

Which option is best for ongoing monitoring rather than a one-time audit?

Profound, OtterlyAI, and ReAudit are the software-first options built around recurring measurement rather than a single diagnostic.

Do any of these vendors guarantee AI citations or recommendations?

No. BeCited's terms state that audits are point-in-time diagnostics, Profound's evidence notes that causality cannot be established, and Veza Digital states that the audit cannot guarantee specific citation outcomes.

Why do some entities have conflicting pricing across sources?

Several entities publish different prices on different pages or have third-party sources reporting prices that conflict with official pages. Profound, TriRank, ReAudit, and OtterlyAI all show pricing inconsistencies that buyers should verify in writing. .

Consolidated Sources

Company-Owned Sources

Independent Sources

Other Sources

Platform-by-platform recommendations

Numbers show recorded recommendation position. A dash means no qualifying recommendation was recorded in a usable response. Unusable responses are not negative votes.

Qualified entities in this research snapshot
PlatformAI Search EngineersIndexable AIProfoundHelium SEOTriRankBeCitedOtterlyAIMercury Technology SolutionsReAuditVeza Digital
ChatGPT——#1———#4———
Claude#2—#4———#3——#6
DeepSeek—#1—#2#4#3——#5—
Grok#1——————#6——
Perplexity#1——————#3——
Kimi—#1—#3#2#4——#5—
Gemini—————————#5

Verify this research

Review the study details behind this page or download the public machine-readable verification record.

Study date
September 28, 2026
Platforms analyzed
7
Candidates reviewed
46
Qualified finalists
10

Research trail and source mix

Configured platforms

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

Source mix

298 total · 133 independent · 164 company-owned · 1 unclear

Evidence support

236 direct · 52 partial

Important limitation

Exactly 7 platforms were included in this run: openai, anthropic, deepseek, grok, perplexity, kimi, google. The configured source value 7 is provenance only and must never be described as the number of platforms studied.

Source snapshot SHA-256 347b90ec0bb6edc0c7e988a27a28286d4ba905a2858b69cec61a161a91c27333