Best AI Search Audits for Mid-Market Companies

Answer Capsule

Helium SEO ranks first in this 7-platform consensus index of AI search audit providers for mid-market companies, named by 3 of 7 platforms (42.9% share) with an average listed position of 4.33 and a best position of 3. The strongest alternatives for distinct buyer needs are AI Search Audit for low-cost self-service readiness scanning, TurboAudit for recurring page audits plus daily monitoring, BeCited for a human-reviewed one-time diagnostic, and MonitorAEO for the cheapest five-engine baseline. The study covered 7 platforms — openai, anthropic, deepseek, grok, perplexity, kimi, and google — and 40 unique entities were named, of which 10 qualified by being named by at least two platforms. The principal limitation is that company-owned citations materially outnumber independent ones, so most capability, pricing, and outcome claims are platform-reported rather than independently verified.

Research Snapshot

• Topic: AI search audits and market intelligence for mid-market companies
• Target buyer: Mid-market companies that need sophisticated AI search intelligence without enterprise-level complexity or cost
• Use case: AI Search Audits for Mid-Market Companies (United States, 2026)
• Platforms included: openai, anthropic, deepseek, grok, perplexity, kimi, google (7 platforms)
• Research date: 2026-09-18
• Unique entities named: 40
• Qualifying entities: 10
• Eligibility rule: Named by at least two platforms during ranking discovery
• Ranking unit: Audit company, audit service, or advisory provider

The study used one standardized prompt sent once to each included platform: "A mid-market company wants a commercially practical AI search audit that identifies where it is being mentioned, cited, and recommended across major AI platforms, how competitors compare, which high-intent prompts matter most, and what actions would likely have the greatest strategic value. Which AI search audit providers would you recommend, and why?"

Platform mentions count only platforms that named the entity during ranking discovery. All seven platforms evaluated fit, but several entities were named by only two or three platforms, which is why platform share tops out at 42.9% in this index.

The Consensus Ranking

Questions This Section Answers

• What are the best AI search audit providers for mid-market companies in 2026?
• Which AI search audit provider has the strongest cross-platform consensus among ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, and Kimi?

The table below is the authority for rank, platform mentions, platform share, average listed position, and best position. Order is determined by platform mentions, then average listed rank, then best listed rank.

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

Questions This Section Answers

• Which AI search audit should a mid-market buyer choose if they need a managed agency engagement rather than self-service software?
• Which AI search audit provider is best for a mid-market company that needs the lowest published one-time cost?
• Is a one-time human-reviewed audit or a recurring monitoring subscription better for a mid-market company tracking AI citations?

1. Helium SEO

Questions This Section Answers

• Is Helium SEO worth it for a mid-market AI search audit, and what are its main drawbacks?
• Which AI search audit provider should a mid-market buyer choose if they need a managed audit with a prioritized implementation roadmap?

Helium SEO ranks first because it was named by three platforms (deepseek, kimi, perplexity) at ranks 3, 3, and 7, giving an average listed position of 4.33 and a best position of 3. It is the only entity in this index whose advertised scope maps almost one-to-one onto every criterion in the buyer brief: recommendation and mention measurement, competitor benchmarking, influential source-domain analysis, content and authority gaps, and a prioritized roadmap.

Why it ranked here. Helium SEO's AI Deep Dive Audit is described as testing more than 250 high-intent prompts across leading LLM platforms and measuring brand mentions, competitive visibility, and presence in AI-generated recommendations ^[1]. Its Competitive GEO Landscape Report compares AI visibility against competitors by topic cluster and identifies competitor content or citations the buyer lacks ^[1]. A newer GEO services page describes a broader ORCA platform covering eight engines with share-of-voice, sentiment, truth-alignment, and source-domain analysis, though it is unclear whether that broader engine set applies to the AI Deep Dive Audit ^[2].

Best suited for. Mid-market companies that want an agency-led audit rather than a self-service analytics platform, buyers needing competitor comparisons and implementation-ready recommendations, and companies that want findings translated into content, schema, site-architecture, and outreach actions ^[1].

Main strengths for the use case. Direct alignment with the requested measures — AI mentions, competitor visibility, topic-cluster benchmarking, third-party citation analysis, technical gaps, and prioritized recommendations ^[1]. Managed delivery may suit mid-market teams without dedicated GEO or AI-search research staff. Developer-ready schema, FAQ, comparison-table, and internal-linking recommendations could make findings more actionable than a high-level visibility report ^[1]. Google's assessment describes a proprietary ORCA platform with 8-engine coverage, 400 custom-built questions mapped to ideal customer profiles, and a truth-alignment score ^[3].

Main limitations. No public price, package scope, turnaround time, service-level commitment, or recurring-cost schedule for the recommended audit ^[1]. The complete list of tested engines, prompt construction rules, geographic personalization controls, repeatability controls, and statistical confidence reporting is not disclosed on the reviewed page. No independent source reviewed confirms that the audit's findings improve AI recommendations or business outcomes. Anthropic's assessment found that the specific product names "AI Deep Dive Audit" and "AI SEO Audit Services for LLM Visibility" do not appear in Helium SEO's public marketing or search results, and rated fit uncertain ^[5]. Kimi could not retrieve crawlable content from the supplied URL and rated fit uncertain, noting no independent sources mention Helium SEO in the AI search audit context ^[6].

Pricing or cost summary. Public pricing for the AI Deep Dive Audit was not disclosed on the reviewed service page. Helium SEO offers a free, no-obligation proposal and separately advertises a free SEO and ads audit valued at $1,500; it is unclear whether that free audit is the same product ^[7].

2. AI Search Audit

Questions This Section Answers

• Is AI Search Audit worth it for a mid-market company that needs a low-cost self-service AI-readiness audit?
• Which AI search audit platform should a buyer choose if published plan limits and pricing transparency matter more than managed consulting?

AI Search Audit ranks second with three platform mentions (anthropic, grok, perplexity) at ranks 8, 2, and 5, giving an average listed position of 5.00 and a best position of 2. It is the only entity in this index with a fully published self-service tier ladder and a free entry point.

Why it ranked here. The platform is described as a SaaS product that crawls sites, generates AI-style prompts, assesses AI search readiness, and produces actionable recommendations ^[8]. Google's assessment describes 27 deterministic, rule-based checks across five pillars — AI accessibility, AI understanding, AI trust, content and retrieval, and technical quality — plus AI agents powered by parent company Kleecks that deploy fixes such as JSON-LD structured data and semantic FAQ formatting ^[9].

Best suited for. A mid-market company seeking a relatively low-cost, self-service AI-search readiness audit for one domain and one market; teams that value technical and semantic recommendations plus optional automated fixes; and companies with websites within the published Pro plan's stated crawl and competitor limits ^[11].

Main strengths for the use case. The published Pro plan is explicitly aimed at medium-sized businesses. The product combines audit, competitor comparison, monitoring, recommendations, and optional remediation in one workflow, supports localized markets and multilingual sites, and offers a free entry point for initial fit testing ^[12]. Google highlights the autonomous "active fixing" capability via Kleecks AI agents, scanning of root-level files such as llms.txt and robots.txt, and consistent deterministic 27-check testing criteria ^[9].

Main limitations. Core buyer requirements for citation measurement and influential source-domain analysis are not clearly documented ^[11]. Standard Pro limits may be insufficient for large, international, or multi-domain mid-market organizations. Public pages conflict on URL limits, audit frequency, and some plan details. No independent evidence was located validating recommendation accuracy, citation coverage, customer outcomes, or competitive performance. Automated fixes introduce governance and quality-control requirements that are not fully documented publicly. Anthropic rated fit uncertain and noted the platform does not appear in major 2026 AI search audit tool comparisons ^[13]. Deepseek and Kimi both reported that the official site failed to load during retrieval, blocking verification of features, plans, and pricing ^[14].

Pricing or cost summary. The pricing page lists monthly Pro pricing at €499, with an annual-display price of €449, positioned for agencies and medium-sized businesses. Free is €0 with one domain, one country, three URLs, three prompts per URL, no competitors, and no monthly reloads. Basic is €99 monthly or €89 annual-display with 50 URLs and one competitor. Starter is €199 monthly or €179 annual-display with 100 URLs and two competitors. Pro includes 250 URLs, four prompts per URL, three competitors, and two monthly reloads. Remediation credits are separately listed from €15 for 1,000 credits to €3,290 for 500,000 credits ^[12].

3. TurboAudit

Questions This Section Answers

• Is TurboAudit worth it for a mid-market company that needs recurring page audits plus daily AI monitoring?
• Which AI search audit platform should a buyer choose if they need audit, monitoring, and content briefs in one subscription under $200 per month?

TurboAudit ranks third with three platform mentions (anthropic, deepseek, kimi) at ranks 9, 7, and 8, giving an average listed position of 8.00 and a best position of 7. It has the lowest published entry price of any entity in this index and the only free tier that includes full audit scoring.

Why it ranked here. TurboAudit audits pages across seven dimensions — technical access, schema, E-E-A-T, content quality, AI citeability, intent, and risk — evaluating 250+ signals per page in roughly two minutes with prioritized fixes grouped by effort estimate ^[16]. It combines that audit engine with daily monitoring and weekly content briefs, which is why it was named by three platforms despite a lower average position.

Best suited for. Companies with one to three domains needing recurring page audits and AI-visibility monitoring; marketing, SEO, and content teams that want audit findings converted into prioritized fixes and weekly content plans; and buyers seeking a lower-cost alternative to enterprise AI-search intelligence platforms ^[18].

Main strengths for the use case. Low public entry price relative to enterprise-oriented AI-search platforms. The product combines page auditing, AI-visibility monitoring, competitor analysis, and content-brief generation in one workflow. Audit scope covers technical access, schema, E-E-A-T, content quality, AI citeability, intent, and risk. Growth and Scale provide multi-domain capacity and recurring monitoring suitable for many mid-market teams. Prioritized fixes and effort estimates can help translate audit findings into an execution backlog ^[18]. Anthropic notes the free tier provides five audits per month with no credit card and includes the full seven-dimension score plus key fix recommendations ^[19].

Main limitations. Daily monitoring is publicly specified for three engines (ChatGPT, Perplexity, Gemini), despite broader nine-engine marketing language ^[18]. Influential source-domain analysis and benchmark methodology are not sufficiently documented publicly. AI Content Strategy is labeled beta, creating potential reliability or product-maturity risk. No independent evidence was identified for accuracy, customer outcomes, citation measurement validity, or competitive benchmark quality. Public Terms of Service and pricing pages contain materially inconsistent audit allowances. Deepseek could not verify the official site as reachable and rated fit uncertain ^[20]. Perplexity rated fit mixed and flagged pricing inconsistency across TurboAudit pages ^[21].

Pricing or cost summary. Public pricing lists Free at $0 (five audits, five-page site-wide audit, monitoring preview, one domain), Starter at $39.99/month (50 audits, 20-page site-wide audits, 15 prompts, three engines, one domain), Growth at $189.99/month (200 audits, 100-page site-wide audits, 50 prompts, three engines, three domains), and Scale at $549.99/month (1,000 audits, 500-page site-wide audits, 150 prompts, ten domains, five workspaces, five seats, API access) ^[22]. Pricing FAQ states no contracts or commitments and cancellation at any time; unused audits do not roll over and reset monthly. .

4. BeCited

Questions This Section Answers

• Is BeCited worth it for a mid-market company that wants a one-time human-reviewed AI search audit?
• Which AI search audit provider should a buyer choose if they need a fixed $2,000 price and a one-week turnaround?

BeCited ranks fourth despite having the best average listed position in the index (1.50) because it was named by only two platforms (deepseek and kimi) at ranks 2 and 1. Under the ranking rule, platform mentions take precedence over average position, which is why a two-mention entity with a 1.50 average sits below three-mention entities with weaker averages.

Why it ranked here. The Full Audit tests 100–300 buying-intent prompts across ChatGPT, Claude, Gemini, and Perplexity, reporting visibility, recommendation strength, engine consistency, and prompt-level gaps. The published methodology distinguishes being mentioned from being recommended, and states that every quote is manually reviewed and brand variants are matched by hand ^[23]. It also reports a 0–100 visibility score, recommendation rate, source presence, engine-by-engine results, confidence intervals, and a source ecosystem map ^[24].

Best suited for. Companies that want a one-time diagnostic across ChatGPT, Gemini, Perplexity, and Claude; marketing or SEO teams needing actionable competitor, citation-source, and content-gap analysis without enterprise-platform complexity; and buyers that value a named analyst and manually reviewed AI responses ^[24].

Main strengths for the use case. Strong alignment with the requested audit criteria: recommendation analysis, mention measurement, source mapping, competitor benchmarking, gap diagnosis, and a prioritized roadmap. Lower stated price and lower operational complexity than a typical enterprise engagement, according to BeCited's own positioning. Manual review, named analyst involvement, and confidence intervals may improve interpretability for a mid-market marketing team ^[23]. Google notes the audit is performed personally by founder Owen Kurth, who hand-reads every quote to filter out LLM hallucinations and mismatches ^[25].

Main limitations. Results are point-in-time diagnostics; AI outputs can change because of model updates, index changes, training-data changes, and competitor activity. The service is primarily a report and consulting engagement, not a clearly documented self-service monitoring platform. Public documentation does not establish enterprise-grade security controls, SSO, API access, data residency, formal SLAs, or procurement certifications. The methodology relies partly on human judgment; BeCited reports approximately 72% agreement in its published blind scoring test, which indicates meaningful but non-perfect scoring consistency ^[23]. Anthropic flagged the exclusion of Google AI Overviews as a material gap for e-commerce and consumer-facing businesses ^[27]. Kimi could not verify the entity through web search and rated fit uncertain ^[28].

Pricing or cost summary. The Full Audit is listed at $2,000 one time with a one-week delivery window. BeCited also lists quarterly tracking at $1,500 per quarter, which is the relevant ongoing cost if the buyer wants recurring measurement ^[24]. Payment is due upon engagement unless otherwise agreed, and the terms provide a 14-day period after delivery to contact BeCited about an unsatisfactory deliverable ^[29]. Google also lists a $199 Snapshot with 10 prompts on Perplexity and 48-hour turnaround, fully credited toward a Full Audit within 30 days ^[30]. .

5. MonitorAEO

Questions This Section Answers

• Is MonitorAEO worth it for a mid-market company that needs the cheapest five-engine AI visibility baseline?
• Which AI search audit provider should a buyer choose if they need a one-time audit under $100 with a prioritized action checklist?

MonitorAEO ranks fifth with two platform mentions (deepseek and kimi) at ranks 1 and 2, giving an average listed position of 1.50 and a best position of 1. It ties BeCited on average position but sits below it because the ranking rule resolves ties by best listed rank, and both share a best rank of 1 — the tiebreak then falls to the supplied final ranking table order.

Why it ranked here. The Full Audit tests 40 buyer-facing queries across five engines — Google AI Overviews, ChatGPT, Claude, Perplexity, and Gemini — and reports whether each engine names, cites, and recommends the brand, with sentiment and accuracy scoring and a prioritized action plan ^[31]. It analyzes 200 AI answers and includes an engine heatmap, citation map, and per-query drill-down ^[32].

Best suited for. Cost-sensitive marketing, SEO, content, and PR teams needing a fast five-engine baseline; companies evaluating AI visibility across brand, category, problem, comparison, and vertical queries; and teams that value a concrete action checklist and CSV-exportable evidence over consulting services ^[31].

Main strengths for the use case. Very low entry cost relative to the breadth of five-engine coverage. Direct alignment with mention, citation, competitor, source-domain, and action-roadmap requirements. Fast delivery and CSV export support practical mid-market experimentation and reporting. A free preview lowers evaluation friction before purchase ^[32]. Google notes the audit includes a top-cited source map showing the top 20 third-party domains AI engines trust in the buyer's category, creating a targeted digital PR roadmap ^[33].

Main limitations. The audit is a point-in-time snapshot; AI answers may vary daily and the provider explicitly says results drift. Recommendations are Claude-generated and described in the terms as educated guesses, not guaranteed outcomes ^[34]. Public materials do not document sampling controls, repeatability, confidence intervals, or independent validation. The 40-query matrix may be insufficient for companies with many products, regions, customer segments, or languages. No publicly confirmed integrations, API, SSO, procurement package, SLA, or dedicated analyst support for the Full Audit. Anthropic noted the product does not clearly show share-of-voice calculation or competitor citation frequency as documented features ^[35]. Deepseek reported that pricing was not publicly listed on the site it reviewed, which conflicts with other platforms that found published pricing ^[36].

Pricing or cost summary. The Full Audit is listed at $79 as a one-time purchase, including all five engines, 40 queries, 200 analyzed answers, scoring, drill-down evidence, the action plan, 15 GEO checks, dashboard access, and CSV export. Applicable tax is calculated and added by Stripe at checkout. Optional Full Monitoring is listed at $95 per month with monthly five-engine reruns, 40 monitored questions, trend tracking, source and competitor changes, and a refreshed action plan. A Two Engine Audit is listed at $29 one-time ^[32].

6. Fratzke

Questions This Section Answers

• Is Fratzke worth it for a mid-market company that needs an executive-ready AI search audit with a benchmark scorecard?
• Which AI search audit provider should a buyer choose if they need a managed consulting engagement in the $10,000–$20,000 range?

Fratzke ranks sixth with two platform mentions (anthropic and perplexity) at ranks 1 and 3, giving an average listed position of 2.00 and a best position of 1. It is the highest-priced qualifying entity in this index and the only one whose published scope explicitly names enterprise and mid-market organizations as the target.

Why it ranked here. The audit evaluates how an organization is discovered, understood, cited, and recommended across AI-powered search experiences including ChatGPT, Google AI Overviews, Gemini, Perplexity, and Microsoft Copilot ^[37]. Deliverables include a Benchmark Report, Benchmark Index Scorecard, Executive Readout, and Prioritized Growth Roadmap, with recommendations ranked by business impact, AI-visibility potential, implementation effort, dependencies, and expected time to value ^[37].

Best suited for. Mid-market companies with meaningful digital visibility, lead-generation, or revenue objectives; marketing and executive teams that want an external assessment rather than operating an audit platform internally; and organizations needing competitor benchmarking, content and authority gap analysis, and prioritized recommendations ^[37].

Main strengths for the use case. Strong alignment with the requested audit factors: AI visibility, citation measurement, competitor benchmarking, content and authority gaps, technical signals, and prioritized recommendations. Managed delivery and executive readout reduce the internal expertise and operational burden for mid-market teams. The standardized Benchmark Index and repeatable scorecard may help establish a baseline for future reassessment ^[37]. Anthropic notes the audit is led by senior strategists rather than automated software or junior analysts, and that most evaluation is conducted by the Fratzke team ^[38].

Main limitations. The service is a consulting engagement rather than a clearly documented self-service software product. The public page does not disclose detailed sampling design, prompt volumes, geographic or language controls, model/version handling, source-domain ranking methodology, or reproducibility procedures. Pricing is material for a mid-market buyer and is custom rather than fully transparent. Fratzke explicitly states that no agency can guarantee AI rankings or citations ^[37]. Deepseek and Kimi both rated fit uncertain, citing the absence of published pricing, third-party reviews, and methodology documentation ^[39]. Anthropic noted conflicting third-party reviews, with some describing operational concerns while official testimonials are uniformly positive ^[41].

Pricing or cost summary. Fratzke publishes a typical AI Search Audit range of $10,000–$20,000. Final pricing is custom and depends on website and digital-ecosystem size, number of websites, AI platforms evaluated, competitive analysis, and stakeholder requirements ^[37]. A separate Fratzke Digital Marketing Audit page states most engagements range from $10,000–$25,000, but that should not be treated as confirmed pricing for the AI Search Audit ^[42]. Typical audit projects are stated to take 3–6 weeks.

Where platforms disagreed. Fit ratings ranged from "strong" (grok) to "good" (openai, anthropic, google, perplexity) to "uncertain" (deepseek, kimi).

7. Veza Digital

Questions This Section Answers

• Is Veza Digital worth it for a mid-market company that needs a fixed-price AI search audit with 30 days of citation tracking?
• Which AI search audit provider should a buyer choose if they need six-platform coverage and a standalone 90-day action plan?

Veza Digital ranks seventh with two platform mentions (deepseek and kimi) at ranks 4 and 5, giving an average listed position of 4.50 and a best position of 4. It is the only qualifying entity with a fully published fixed price attached to a defined tracking window.

Why it ranked here. The AI Search Visibility Audit is described as testing how the brand appears, is cited, or is omitted across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Copilot, using typically 50–100 custom prompts based on the buyer's keyword universe, competitors, sales input, and industry questions ^[43]. It includes 30 days of continuous tracking rather than a one-time snapshot, with citation stability and volatility analysis.

Best suited for. B2B companies that need a decision-ready AI search diagnostic rather than software access alone; marketing or SEO teams that can use a six-week audit process and want data transferable to internal staff or another agency; and companies willing to spend $4,500 for 30 days of tracking and interpretation ^[43].

Main strengths for the use case. Strong stated alignment with recommendation analysis, cross-platform citation measurement, competitor benchmarking, content gaps, and a prioritized action plan. The 30-day tracking period is more decision-useful than a single-day snapshot when citation volatility matters. The buyer receives a standalone report, raw data, and roadmap rather than being required to purchase implementation ^[43]. Anthropic notes the 90-day action plan is genuinely standalone and does not require follow-on services, reducing buyer lock-in risk ^[44].

Main limitations. The scope is materially more expensive than a free or automated snapshot and may exceed the needs of an early-stage measurement effort. The public materials do not fully specify source-domain influence scoring, sampling methodology, prompt reproducibility, statistical confidence, or how recommendation quality and citation correctness are adjudicated. Benchmarking is limited to up to three competitors, and page analysis is described as approximately 20–30 pages. The audit appears time-bounded; ongoing monitoring after delivery is not included in the stated $4,500 diagnostic. Webflow receives deeper implementation guidance than other CMS platforms, which may reduce post-audit execution value for non-Webflow buyers ^[45]. Deepseek and Kimi both rated fit uncertain, citing unverified methodology and pricing ^[46].

Pricing or cost summary. Veza publicly lists the AI Search Visibility Audit at a fixed $4,500 price, describing a roughly six-week process including 30 days of tracking, analysis, report production, and delivery. Veza also states that the fee is credited in full toward the first month of an $8,000-per-month WAIO engagement if that engagement begins within 60 days of receiving the audit ^[43]. Veza states there is no lock-in and that the buyer owns the report and raw data. Public materials do not specify payment schedule, refund policy, rescheduling terms, confidentiality language, data retention, or formal cancellation terms. .

8. OtterlyAI

Questions This Section Answers

• Is OtterlyAI worth it for a mid-market company that needs self-serve AI visibility monitoring with source-domain analysis?
• Which AI search audit platform should a buyer choose if they need recurring monitoring across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot?

OtterlyAI ranks eighth with two platform mentions (google and openai) at ranks 7 and 3, giving an average listed position of 5.00 and a best position of 3. It has the largest independent citation base of any entity in this index, with 30 independent versus 19 owned citations in its evidence bundle.

Why it ranked here. The platform monitors brand visibility and mentions across four base engines — ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot — with citation reporting that identifies cited URLs, whether the buyer or competitors are mentioned, the prompts and engines associated with each citation, citation trends, and brand coverage ^[48]. Domain Sources shows domains cited in AI-generated answers, domain coverage, domain category, and a comparison view for the buyer versus tracked competitors ^[49].

Best suited for. Marketing and SEO teams needing recurring monitoring across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot; mid-market companies needing competitor citation benchmarking and source-domain gap analysis without an enterprise procurement process; and teams that can convert platform recommendations into their own content, digital-PR, technical SEO, and authority-building work ^[50].

Main strengths for the use case. Strong coverage of the requested audit dimensions: recommendations, mentions, citations, competitor benchmarking, source-domain analysis, and content-gap discovery. Premium combines higher prompt capacity with citation analysis, GEO URL audits, detailed exports, API/MCP allowances, and reporting integrations. Self-serve pricing and monthly cancellation reduce procurement complexity compared with a fully enterprise-oriented platform ^[50]. Anthropic notes G2 reviewers rate OtterlyAI around 4.5/5 with recurring praise for intuitive UI, responsive customer support, and fast time-to-value ^[51].

Main limitations. The most useful audit capabilities may require Premium or paid engine add-ons, increasing total cost beyond the headline subscription price. Recommendations require sufficient prompt, competitor, and observation history and are beta; automated priorities may need human validation ^[52]. Base coverage is limited to four engines, while Gemini, Claude, and Google AI Mode are extra-cost add-ons. Prompt-based monitoring is dependent on the buyer's prompt library, competitor definitions, countries, and tracking configuration. System-defined domain categories cannot be customized, and public materials do not establish independent accuracy benchmarks, sampling methodology, data retention, or reproducibility guarantees. Anthropic notes a weekly data refresh cycle limits the ability to test optimizations or respond quickly to AI search shifts ^[53]. Kimi could not verify pricing or plan structure and rated fit uncertain ^[54].

Pricing or cost summary. Public pricing lists Lite at $29/month for 15 prompts, Standard at $189/month for 100 prompts, and Premium at $489/month for 400 prompts. Annual billing is advertised at 15% off. Additional 100 prompts cost $99/month on Standard or Premium. Paid engine add-ons are listed monthly: Google AI Mode $9/$59/$149, Gemini $9/$59/$149, and Claude $29/$109/$439 for Lite/Standard/Premium respectively ^[50].

9. TriRank

Questions This Section Answers

• Is TriRank worth it for a mid-market company that needs screenshot-evidenced AI citation analysis?
• Which AI search audit provider should a buyer choose if they need a $399 one-time audit with a 30-day action plan and a refund guarantee?

TriRank ranks ninth with two platform mentions (deepseek and kimi) at ranks 6 and 4, giving an average listed position of 5.00 and a best position of 4. It is the only qualifying entity that publishes a full refund tied to actionability rather than satisfaction.

Why it ranked here. The audit runs 5–10 core buyer questions across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, recording brand mentions and screenshots of the actual answers ^[55]. It identifies which competitors are cited on the same buyer questions and how frequently each competitor appears, and maps domains and page types used by AI answers, including cited third-party pages grouped by host and citation counts ^[55].

Best suited for. SaaS, e-commerce, and service businesses with an active website and defined buyer questions; marketing teams that need screenshots and source-level evidence rather than a proprietary visibility score; and companies wanting an audit plus optional execution of content and technical fixes ^[55].

Main strengths for the use case. Strong alignment with the requested audit factors: recommendations, competitor citations, source-domain analysis, technical accessibility, content readiness, and a sequenced roadmap. Evidence-oriented deliverables with screenshots and technical evidence rather than only a score. Optional hands-on implementation is more suitable for a mid-market team with limited specialist capacity than a report-only product. Published pricing is materially below the $5,000/month agency example cited on TriRank's page, although that comparison is company-provided ^[55]. Google notes the audit pulls live citation signals directly from actual Search Console data and real engine sweeps, distinguishing "measured zero" from "missing measurement" ^[56].

Main limitations. The public evidence is primarily TriRank's own marketing and methodology claims; independent reviews, audited customer outcomes, and broad third-party validation were not identified in the reviewed sources. The audit's breadth depends on the selected buyer questions and does not publicly specify limits for brands, locations, languages, product lines, or total tracked prompts beyond the stated 5–10 core questions. The $999/month Founding Tier is capped at three sites and the page does not provide a full service specification, SLA, or detailed implementation boundaries. AI answer results are inherently variable; the public page describes a measurement snapshot but does not fully specify replication rules, prompt randomization, geographic settings, or confidence intervals. Anthropic rated fit good but flagged the absence of formal competitor benchmarking, source-domain analysis, and structured improvement roadmaps as gaps ^[57]. Kimi rated fit mixed, noting the $999/month Founding Tier edges toward enterprise-level cost for mid-market buyers ^[58].

Pricing or cost summary. The published AI Visibility Audit price is $399 one-time per site. The optional Founding Tier is published at $999/month per site, with $1,499/month from the fourth site. A separate AI Search Market Report is listed at $69 one-time, but it is a market document rather than the site-specific audit ^[55].

10. Reaudit

Questions This Section Answers

• Is Reaudit worth it for a mid-market company that needs combined AI-readiness auditing and ongoing monitoring across several brands?
• Which AI search audit platform should a buyer choose if they need multi-brand monitoring with MCP and developer integrations?

Reaudit ranks tenth with two platform mentions (deepseek and kimi) at ranks 5 and 6, giving an average listed position of 5.50 and a best position of 5. It is the only qualifying entity that combines a technical AI-readiness audit with content generation, publishing, and a Model Context Protocol server in one subscription.

Why it ranked here. Reaudit says it measures whether AI systems mention, cite, and recommend a brand, and its platform materials describe sentiment, answer position, recommendation scenarios, and feature or comparison criteria ^[59]. The platform reports mention rate, citation share, citation rank, citation context, source URLs, quote extraction, visibility score, and prompt-level tracking ^[59].

Best suited for. Mid-market marketing or SEO teams monitoring several brands, markets, or projects; buyers that need both a technical AI-readiness audit and ongoing monitoring across major AI search surfaces; and teams that value source-domain, competitor, content-gap, and implementation-roadmap outputs in one platform ^[60].

Main strengths for the use case. Broad alignment with the requested audit criteria: prompts, mentions, citations, source URLs, competitor comparisons, content gaps, and technical AI-readiness checks. Professional pricing and capacity are positioned between an entry-level plan and an agency or enterprise plan. The platform combines audit, monitoring, analytics, recommendations, integrations, and reporting rather than requiring separate tools ^[61]. Google highlights the 235-tool MCP server supporting Claude and Cursor, structured data validators, an LLMs.txt generator, and AI token inspectors ^[62].

Main limitations. Engine coverage varies by plan; several relevant engines are add-ons rather than included capabilities. Public documentation does not clearly explain sampling methodology, prompt-volume methodology, geographic controls for U.S. results, model/version tracking, statistical confidence, or treatment of nondeterministic answers. The platform makes substantial performance and customer-outcome claims that are not independently substantiated in the reviewed sources. Public pricing does not fully disclose billing, cancellation, taxes, renewal, overage enforcement, or add-on terms. The product appears broader than an audit tool, including content generation, publishing, MCP, and GTM functions, which can add complexity for buyers wanting only audit intelligence ^[61]. Deepseek and Kimi both rated fit uncertain, with Kimi reporting zero web-search results for Reaudit or reaudit.io on 2026-09-18 ^[64].

Pricing or cost summary. The most relevant listed plan is Professional at €299 per month, with a stated 10% saving for annual billing. Starter is €50 per month; Agency is €799 per month; Enterprise pricing is custom. Starter includes one project, two seats, 30 unique prompts/day, two website audits/month, and six months of data retention. Professional includes five projects, five seats, 250 unique prompts/day, 10 website audits/month, one year of data retention, and five competitors. Agency includes 20 projects, 10 seats, 1,000 unique prompts/day, 40 website audits/month, one year of data retention, and 20 competitors. Extra project add-on is €50/month per unit.

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What does a 7-platform AI consensus study reveal about how AI search audit providers are recommended for mid-market companies?
• Why do AI search audit providers with the best average position sometimes rank below providers named by more platforms?

Three structural patterns emerge from this study.

First, no provider achieved majority consensus. The highest platform share in this index is 42.9%, achieved by three entities (Helium SEO, AI Search Audit, TurboAudit). No entity was named by more than three of seven platforms. This means mid-market buyers comparing AI search audit providers should expect fragmented recommendations and should treat any single platform's answer as one data point rather than a market verdict.

Second, average position and platform mentions diverge sharply. BeCited and MonitorAEO both have an average listed position of 1.50 — the best in the index — but rank fourth and fifth because they were named by only two platforms. TurboAudit has the weakest average position (8.00) but ranks third because three platforms named it. The ranking rule deliberately weights breadth of recognition over depth of enthusiasm, which matters when a buyer is trying to gauge whether a provider is broadly known or narrowly championed.

Third, the market splits into three delivery models. Managed agency audits (Helium SEO, Fratzke, Veza Digital, BeCited) dominate the top of the ranking by average position but carry opaque or high pricing. Self-service platforms (AI Search Audit, TurboAudit, OtterlyAI, Reaudit) publish transparent pricing but have thinner independent validation.

Where the AI Platforms Agreed

Questions This Section Answers

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

Across the seven platforms, several points of agreement held consistently.

Recommendation analysis and mention measurement are table stakes. Every qualifying entity's evidence bundle describes some form of measuring whether AI engines name, cite, or recommend a brand. Helium SEO, AI Search Audit, TurboAudit, BeCited, MonitorAEO, Fratzke, Veza Digital, OtterlyAI, TriRank, and Reaudit all describe prompt-based testing across multiple engines.

Competitor benchmarking is expected. Nine of ten qualifying entities describe comparing the buyer's AI visibility against named competitors. The exception is AI Search Audit, where competitor benchmarking is described but the depth, frequency, and exportability are not specified ^[66].

Prioritized roadmaps are a standard deliverable. Helium SEO, TurboAudit, BeCited, MonitorAEO, Fratzke, Veza Digital, OtterlyAI, TriRank, and Reaudit all describe prioritized or ranked recommendations. AI Search Audit claims a prioritized list of issues but does not publicly define scoring methodology, business-impact weighting, owners, deadlines, dependencies, or roadmap export formats ^[66].

Pricing opacity is common among agency-led providers. Helium SEO, Fratzke, and Veza Digital all require a sales conversation or custom quote for at least part of their pricing. Only BeCited among the agency-led providers publishes a fixed one-time price.

No provider guarantees outcomes. TurboAudit's terms state it does not guarantee specific search rankings, AI citations, or traffic outcomes ^[67]. BeCited's terms disclaim guaranteed business outcomes and limit liability to the amount paid ^[68].

Where the AI Platforms Disagreed

Questions This Section Answers

• Why do AI platforms disagree about whether some AI search audit providers exist or publish pricing?
• Which AI search audit provider claims are most contested across platforms, and what should a buyer verify?

Disagreements in this study fall into four categories.

Entity existence and verifiability. Kimi could not verify Helium SEO, AI Search Audit, BeCited, or Reaudit through web search or the supplied URLs, rating all four uncertain ^[69]. Other platforms retrieved content from the same URLs and rated fit good or strong. This is a retrieval-capability disagreement, not necessarily a factual one, but it means buyers should independently confirm that a provider's site resolves and contains current product information before relying on any platform's assessment.

Pricing availability. Deepseek reported no public pricing for MonitorAEO and Reaudit, while other platforms found published tier ladders ^[73]. Anthropic reported that TriRank's Founding Tier ($999/month) could not be verified on public pricing pages, while Google and Kimi confirmed it from the audit page itself ^[75].

Engine coverage counts. TurboAudit's homepage lists nine AI engines while its pricing page specifies daily monitoring across three ^[77]. Helium SEO's AI audit page names four platforms while its newer GEO page describes eight engines ^[78]. Reaudit's homepage alternately describes 8+, 9+, and 10+ AI platforms while its pricing page lists five included engines ^[79].

How Buyers Should Choose

Questions This Section Answers

• What should a mid-market buyer check before choosing an AI search audit provider?
• Which AI search audit provider is best for a mid-market company that needs published pricing versus a managed engagement?

Start with the delivery model, not the feature list. If the buyer needs an external assessment with executive-ready interpretation, the managed agency options (Helium SEO, Fratzke, Veza Digital, BeCited) fit better. If the buyer needs internal ownership of prompt testing and recurring dashboards, the self-service platforms (AI Search Audit, TurboAudit, OtterlyAI, Reaudit) fit better. If the buyer needs a bounded one-time diagnostic with published pricing, the productized audits (MonitorAEO, TriRank, BeCited) fit better.

Then verify five things before purchase, because every qualifying entity in this index has at least one material evidence gap:

1. Exact engine coverage. Confirm which engines, models, regions, languages, and personalization states are included at the quoted price. Several providers list broader engine counts in marketing than in plan specifications.
2. Prompt volume and methodology. Ask how prompts are selected, categorized, refreshed, repeated, and controlled for answer variance. Ask whether raw prompts, captured answers, citations, dates, and mention classifications are included in the deliverable.
3. Source-domain deliverable. Confirm whether the report includes a ranked list of influential source domains, domain-level citation share, and recommendations for acquiring or improving those sources. This is the criterion most often described as unclear across the evidence bundles.
4. Contract and cancellation terms. Confirm payment schedule, renewal, cancellation, refund, data retention, and ownership terms in writing. Several providers publish no cancellation or refund terms for their audit products.

Methodology

This index was produced from a single standardized prompt sent once to each of seven AI platforms on 2026-09-18: openai, anthropic, deepseek, grok, perplexity, kimi, and google. The prompt asked which AI search audit providers would be recommended for a mid-market company needing commercially practical AI search intelligence.

Each platform's response was parsed for named entities. Entities named by at least two platforms qualified for the final ranking. The ranking order is determined by platform mentions first, then average listed rank, then best listed rank. The final ranking table is the sole authority for rank, platform mentions, platform share, average listed position, and best position.

Platform mentions count only platforms that named the entity during ranking discovery. All seven platforms evaluated fit for each entity, but the mention count reflects only the discovery stage. This is why several entities have fit assessments from six or seven platforms but a platform mention count of two or three.

Entity evidence bundles were assembled from platform-reported claims, official-page excerpts, and cited sources. Citations are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations across the study; the source catalog records 213 deduplicated citations, and the ownership counts per entity show owned sources outnumbering independent ones for most entities.

The study used one standardized prompt sent once to each included platform. AI answers can vary by date, wording, location, account state, model, interface, browsing configuration, and the sources retrieved. Platform recommendations are market intelligence, not independent customer reviews or proof of quality.

Methodology Limitations

Several limitations apply to this index and should be weighed before any purchase decision.

Single-prompt design. One prompt was sent once to each platform. A different prompt wording, a different day, or a different account state could produce different entity sets and different rankings. The results should be treated as a snapshot of platform behavior on one date, not a stable market ranking.

Platform-reported research dates differ from the run date. The authoritative run research date is 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness. Deepseek reported earlier dates for several entities (2026-06-01, 2026-08-06, 2026-06-19, 2026-04-11, 2026-02-14, 2026-01-15, 2026-02-11), and those discrepancies are disclosed here as a methodology limitation.

Company-owned citations materially outnumber independent citations. Across the study, owned sources outnumber independent sources for most entities. Do not describe company claims as independently verified. Where this article cites a capability, price, or outcome, it is platform-reported or company-reported unless an independent source is explicitly named.

Supplied URLs were not independently validated. The URLs in the evidence bundles were collected from platform responses and were not independently validated by the writer stage. Some platforms reported that official sites failed to load or returned no crawlable content.

Conflicting product names, pricing, and capabilities were not resolved by guessing. Where platforms disagreed — on engine counts, plan limits, pricing tiers, or product names — this article describes the conflict and tells buyers what to verify rather than picking a winner.

No-search model claims require verification. Deepseek ran without search enabled for several entities, and its assessments rely on model knowledge rather than retrieved pages.

Final Verdict

Helium SEO ranks first in this 7-platform consensus index of AI search audit providers for mid-market companies, named by 3 of 7 platforms with an average listed position of 4.33. Its advertised AI Deep Dive Audit maps closely onto every criterion in the buyer brief, but its pricing, methodology, and engine coverage are not publicly documented, and one platform could not verify its existence in the AI search audit market at all.

The strongest alternatives for distinct buyer needs are AI Search Audit for a low-cost self-service readiness scan with published plan tiers, TurboAudit for recurring page audits plus daily monitoring under $200 per month, BeCited for a fixed-price human-reviewed one-time diagnostic, and MonitorAEO for the cheapest five-engine baseline with a prioritized action checklist. Fratzke and Veza Digital serve buyers who want managed consulting with executive-ready output. OtterlyAI, TriRank, and Reaudit serve buyers who want self-serve monitoring with published pricing and expandable coverage.

No provider in this index achieved majority consensus, no provider guarantees outcomes, and every provider has at least one material evidence gap. Buyers should treat this index as a shortlist and a verification checklist rather than a purchase recommendation, and should confirm engine coverage, prompt methodology, source-domain deliverables, contract terms, and independent evidence before committing budget.