Best AI Search Audits for Publishers and Review Websites

Answer Capsule

BeCited is the consensus leader for AI search audits aimed at publishers and review websites, named by 3 of 7 platforms (42.9%) at an average listed position of 3.67. citability.dev and Semrush tie on mentions at 42.9% each, while Indexable AI and Authoritas hold the best individual positions (average 1.0 and 1.5) but were named by only 2 platforms each. The strongest alternatives for distinct buyer needs are Semrush for teams already inside an SEO suite, Authoritas for publisher licensing and citation-prominence work, and Peec AI for recurring monitoring rather than one-time diagnostics. Seven platforms were studied — openai, anthropic, deepseek, grok, perplexity, kimi, and google — using one standardized prompt sent once to each. The principal limitation is that platform mentions count only ranking-discovery mentions, most supporting citations are company-owned rather than independent, and several platforms returned conflicting or unverifiable product, pricing, and capability details.

Research Snapshot

• Topic: AI search audits and market intelligence for publishers and review websites
• Target buyer: Publishers and review websites that depend on source eligibility, citation visibility, and category authority
• Use case: AI Search Audits for Publishers and Review Websites
• Platforms included (7): openai, anthropic, deepseek, grok, perplexity, kimi, google
• Research date: 2026-09-18
• Geography: United States
• Ranking unit: Audit company, audit service, or advisory provider
• Unique entities named across platforms: 40
• Qualifying entities: 10
• Eligibility rule: Named by at least two platforms during ranking discovery
• Method: One standardized prompt sent once to each included platform

Platform-reported research dates differ from the authoritative run date. Deepseek returned 2026-01-15 for BeCited and Peec AI, 2026-01-08 for Semrush and Viali, 2025-11-14 for Indexable AI, 2026-02-14 for Authoritas, and 2026-06-11 for Revenue Experts AI. Anthropic returned 2026-01-15 for Authoritas. These are provenance metadata and do not independently prove freshness.

The Consensus Ranking

Questions This Section Answers

• What are the best AI search audits for publishers and review websites in 2026?
• Which AI search audit provider has the most platform mentions across ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek, and Kimi?
• Which AI search audit company ranks highest on average position even though fewer platforms named it?

The table below 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; they do not reflect how many platforms later completed a fit assessment.

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

Questions This Section Answers

• Which AI search audit should a publisher choose if it needs a one-time diagnostic rather than an ongoing subscription?
• Which AI search audit provider is best for a review website that already pays for Semrush SEO data?
• Which AI search audit is best for a publisher that needs citation-prominence data for AI licensing negotiations?

1. BeCited

Questions This Section Answers

• Is BeCited worth it for an AI search audit of a publisher or review website, and what are its main drawbacks?
• Is BeCited or citability.dev better for a publisher that needs a one-time AI citation diagnostic?

BeCited ranks first because it was named by three platforms — deepseek, grok, and kimi — at an average listed position of 3.67, with a best position of 2. It is the only entity in this index that combines a top-three mention count with a sub-4 average position, which is why it leads despite Indexable AI and Authoritas holding better individual placements on fewer mentions.

Why it ranked here. BeCited's platform mentions come from ranking-discovery responses, not from fit assessments. Five platforms (openai, anthropic, google, grok, perplexity) rated it a good fit, anthropic rated it mixed, and deepseek and kimi rated it uncertain. The ranking reflects how often platforms surfaced the brand, not how strongly they endorsed it.

Best suited for. Publishers and review sites that want a fixed-price, human-reviewed diagnostic rather than a self-serve dashboard. The Full Audit tests 100–300 buying-intent prompts across ChatGPT, Gemini, Perplexity, and Claude and reports visibility, recommendation strength, source presence, engine consistency, and confidence intervals ^[1]. It includes a Source Influence Map that tiers cited domains into primary, secondary, and tertiary sources by observed AI trust rather than conventional Domain Authority ^[2].

Main strengths for the use case. Every answer is personally reviewed, brand variants are manually matched, and the published methodology reports approximately 72% agreement with a Cohen's kappa of 0.722 ^[2]. The audit evaluates 19 site-readiness signals including robots.txt, llms.txt, structured data, rendering completeness, page speed, content freshness, entity readiness, and per-page quotable content ^[1]. The Full Audit delivers a prioritized 90-day action plan with per-engine job tickets, target URLs, suggested copy, success metrics, and timelines ^[3].

Main limitations. The publicly available sample audit is for BeCited as a SaaS company and discusses G2, Capterra, and PCMag; no publisher, review-site, affiliate-media, or editorial-newsroom case study was verified ^[3]. The audit is primarily based on buying-intent prompts, which may not represent informational, evergreen review, or news queries. Anthropic flagged that the one-time model does not address documented citation churn, citing 40–60% monthly variability in citation share ^[4]. Kimi reported that no verifiable public information about BeCited's products, features, or pricing was found in its research pass ^[5].

Pricing or cost summary. Snapshot is $199 one-time with a 48-hour turnaround and credits toward a Full Audit within 30 days. Full Audit is $2,000 one-time with an advertised one-week turnaround. Quarterly Tracking is $1,500 per quarter. Relevance Engineering is custom-priced, with one platform reporting typical project pricing of $8,000–$25,000 [e1:official:C2].

2. citability.dev

Questions This Section Answers

• Is citability.dev worth it for a publisher that needs reproducible AI citation evidence, and what are its main drawbacks?
• Which AI search audit has the lowest published entry cost for a small or mid-sized review website?

citability.dev ranks second with three platform mentions — deepseek, kimi, and perplexity — at an average listed position of 4.33 and a best position of 2.

Why it ranked here. It matches BeCited and Semrush on mention count but sits lower on average position. Fit ratings split more widely than any other top-three entity: google and grok rated it strong, openai and anthropic rated it good, perplexity rated it mixed, and deepseek and kimi rated it uncertain.

Best suited for. Small and mid-sized publishers or review sites that need live, per-engine evidence and a prioritized technical and content fix list. The GEO Audit tests 20 buyer queries per engine across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews, reporting per-engine citation rates, cited URLs, competitors cited instead, and a ranked fix list ^[6]. The published framework separates Visibility, Recommendability, and Citability ^[7].

Main strengths for the use case. Every result is a verbatim AI answer with a SHA-256 signature, and the proof page documents signed, timestamped receipts that distinguish verified results from best-effort estimates ^[8]. The open-source AI Visibility Readiness framework is published at chudi.dev/framework ^[9]. The audit checks robots.txt, sitemap, structured data, answer-first content structure, content freshness, canonical URLs, HTTPS, heading hierarchy, and social sharing readiness ^[10]. A 30-day re-test of the tracked prompt set is included, refunded if citation rate has not improved [e2:official:C2].

Main limitations. Monitoring covers one domain and up to ten buyer questions, which may be inadequate for a large publisher's taxonomy ^[11]. Public evidence does not verify large-scale publisher deployments or category-authority improvements. Influential source-domain ranking, editorial authority analysis, backlink analysis, and detailed content-gap methodology are not clearly documented. Engine coverage has changed: the proof page records a correction stating Google AI had previously been barely run and was removed until coverage improved ^[8]. The Terms disclaim accuracy, completeness, fitness for purpose, uninterrupted service, and guaranteed AI discoverability, and cap total liability at $100 [e2:official:C3].

Pricing or cost summary. Public pricing lists a free AI Readiness Scan, monitoring at $49/month or $490/year for one domain and up to ten buyer questions, a Citation Gap Diagnostic from $1,500 one-time for the founder/small-business lane and $3,500 for multi-property or team use, a managed retainer from $1,500/month with a three-month minimum, and enterprise pricing from $6,000/month with a stated 90-day pilot at $18,000 [e2:official:C2]. A Visibility Sprint delivered by Fowned is listed from $4,500 for four weeks or $9,000 for six weeks.

3. Semrush

Questions This Section Answers

• Is Semrush worth it for an AI search audit of a publisher or review website, and what are its main drawbacks?
• Which AI search audit should a publisher choose if it already pays for Semrush SEO and wants AI visibility in the same dashboard?

Semrush ranks third with three platform mentions — deepseek, google, and openai — at an average listed position of 5.67 and a best position of 3.

Why it ranked here. It ties the top two on mention count but has the weakest average position of the three, driven by a rank of 10 from deepseek. Fit ratings were good from five platforms (openai, deepseek, google, grok, perplexity), mixed from anthropic, and weak from kimi.

Best suited for. Established publishers already using Semrush SEO data who want AI visibility, competitor benchmarking, and source-opportunity analysis in the same platform. The toolkit reports AI Visibility, mentions, monthly audience, performing topics, topic opportunities, source opportunities, citations, cited sources, and cited pages ^[12]. The Competitor Research report supports direct comparison with up to four competitors and identifies topic and prompt gaps ^[13].

Main strengths for the use case. Source-opportunity analysis identifies domains frequently cited for competitor answers but not for the buyer, which is directly relevant to publisher outreach priorities ^[14]. The platform connects AI visibility to a database Semrush describes as one of the world's largest search databases, with 27.5 billion keywords and 43 trillion backlinks cited in one review ^[15]. Visibility Overview, Competitor Research, and Prompt Research refresh daily on a rolling basis ^[16].

Main limitations. The base tier tracks only 25 prompts, which one review called a directional read rather than a defensible figure ^[17]. Brand Performance reports use Semrush-fired synthetic prompts rather than observed user sessions, and sample size or run count is not published ^[18]. Claude, Copilot, and DeepSeek are reserved for the separate Enterprise AIO product ^[19]. One review reported volatile local market share data swinging from 100% to 0% in weeks with unclear definitions ^[20]. AI-generated recommendations were described as often generic ^[21]. Visibility Overview covers 15 countries ^[22].

Pricing or cost summary. The AI Visibility Toolkit is publicly listed at $99/month per domain billed annually with 25 tracked prompts and 100 audited pages ^[23]. Semrush One bundles start at $199/month for Starter, $299/month for Pro+ with 100 prompts, and $549/month for Advanced with 200 prompts ^[24]. Additional domains for Brand Performance are $99/domain/month, and an additional 50 prompts costs $60/month ^[25]. Additional user seats run $45–$100/month ^[26]. The standalone toolkit has no free trial; Semrush One carries a 7-day trial ^[27]. .

4. Indexable AI

Questions This Section Answers

• Is Indexable AI worth it for an enterprise publisher that needs a one-time AI search diagnostic, and what are its main drawbacks?
• Which AI search audit covers the most AI platforms in a single fixed-scope engagement?

Indexable AI ranks fourth with two platform mentions — deepseek and kimi — but holds the best average listed position in the entire index at 1.00, with a best position of 1.

Why it ranked here. Both platforms that named it placed it first. It ranks fourth rather than first only because the ranking rule weights platform mentions ahead of average position, and it was named by two platforms rather than three.

Best suited for. Enterprise or large review publishers that want a one-time, operator-led diagnostic across six AI search surfaces. The 14-Day AI Search Audit measures visibility across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, and Google AI Mode and produces a stack-ranked action plan ^[28]. Measurement combines Brand Radar prompt monitoring, manual prompt testing, and competitive citation tracking across branded and non-branded prompts ^[29].

Main strengths for the use case. The audit includes a top-50-page schema review, a fan-out coverage report across ten query types, and a single prioritized fix list ranked by effort and impact ^[30]. Indexable reports that FAQPage schema delivers a +45.6% AI citation lift and BreadcrumbList +46.2% ^[31]. The 3-Legged GEO Stool scores Brand, Technical, and Content legs on a 1–12 scale with 9+ as the citation-moat threshold ^[32]. Deliverables reportedly stand alone without requiring a platform purchase ^[33].

Main limitations. The audit is positioned for enterprise brands, CMOs, and SEO heads; it does not identify publishers, review websites, affiliate sites, or newsroom workflows as a dedicated segment ^[28]. Publisher-specific metrics such as article-level citation rate, author/entity authority, editorial freshness, review methodology, and affiliate disclosure signals are not publicly defined. Methodology details are incomplete publicly, including prompt counts, repeat testing, weighting, statistical treatment, and regional settings. The audit page says six AI platforms are measured while the separate platform pricing page says recurring plans include seven-platform monitoring ^[34]. Indexable explicitly states it does not claim ranking control, guaranteed citations, full model coverage, or perfect accuracy ^[35].

Pricing or cost summary. The one-time 14-day audit price is not publicly stated. Indexable separately publishes recurring platform tiers of $15,000/month (Growth), $20,000/month (Scale), $25,000/month (Enterprise), and $30,000+/month (Enterprise Plus) per domain [e4:official:C2]. The audit investment reportedly rolls into the first month of platform engagement if the buyer proceeds, but the audit fee itself is not disclosed. Standard platform subscriptions are described as 12-month agreements with quarterly checkpoints, with six-month pilots available.

Where platforms disagreed. Google and grok rated it strong. Openai, anthropic, and deepseek rated it good. Perplexity rated it mixed, noting the audit is marketed for enterprise brands rather than publishers.

5. Authoritas

Questions This Section Answers

• Is Authoritas worth it for a publisher that needs citation-prominence data for AI licensing negotiations, and what are its main drawbacks?
• Which AI search audit tracks where in an AI answer a publisher is cited, not just whether it is cited?

Authoritas ranks fifth with two platform mentions — google and grok — at an average listed position of 1.50 and a best position of 1.

Why it ranked here. Both naming platforms placed it first or second. It ranks below Indexable AI because its average position is slightly higher (1.50 versus 1.00) on the same two mentions.

Best suited for. Publishers measuring citation volume, citation prominence, and source visibility across major AI search platforms, and review websites benchmarking branded and unbranded recommendations. The AI Media Analyser tracks citation frequency, link position in AI responses, total citation volume, and publisher share of voice across ChatGPT, Gemini, Perplexity, Bing Copilot, and roughly 20 selectable models ^[36]. It crawls live interfaces of AI search engines rather than relying solely on API data.

Main strengths for the use case. The platform maintains a proprietary database of AI platform-to-publisher licensing deals and shows how licensing affects source prominence ^[37]. Branded versus unbranded query separation provides clean comparison between brand-specific and generic discovery queries ^[38]. Google reported that Authoritas expands the entire Google AI Overview DOM to capture 10 to 20+ hidden cited pages that standard rank trackers miss ^[39]. Authoritas also published a publisher-specific study showing desktop CTR declines of 47.5% when Google AI Overviews are present, submitted to the UK CMA ^[40].

Main limitations. Search-grounded models, which provide deeper source-level analysis, are enterprise-only and not available in self-serve P1–P3 tiers ^[38]. Weekly tracking multiplies monthly costs by four to five times versus monthly ^[41]. The platform identifies gaps and competitors but does not provide structured, prioritized remediation roadmaps with ranked tactical steps ^[36]. SEO and AI Search are separate subscriptions with independent billing. Historical lookback period is not documented. Google noted there is no public record of a tool named "Authoritas AI Media Analyser" and that the official primary tool is the "Authoritas AI Search Platform" ^[42].

Pricing or cost summary. AI Search pricing is credit-based: a free tier with 50 credits/month, P1 at £89–£119/month for 2,000 credits, P2 at £225–£299/month for 6,000 credits, P3 at £379–£489/month for 15,000 credits, and Enterprise tiers at £1,125–£2,409/month for 42,000–125,000 credits ^[41]. Credits are consumed per query at 1–5 per query depending on model type. Annual billing provides a one-month discount. Overage pricing runs approximately £22–£50 per 1,000 prompts depending on tier. API access is separately priced.

Where platforms disagreed. Google and grok rated it strong.

6. Revenue Experts AI

Questions This Section Answers

• Is Revenue Experts AI worth it for a publisher or review website, and what are its main drawbacks?
• Which AI search audit verifies whether a cited page actually supports the claim the AI attributed to it?

Revenue Experts AI ranks sixth with two platform mentions — deepseek and kimi — at an average listed position of 2.00 and a best position of 2.

Why it ranked here. Both naming platforms placed it second. It ranks below Authoritas because its average position is higher (2.00 versus 1.50) on the same two mentions.

Best suited for. A publisher or review website seeking a one-time baseline of visibility in ChatGPT, Claude, and Perplexity with citation-precision checks. The audit runs buyer-intent prompts multiple times and reports mention rate, citation rate, citation stability, first-citation share, cross-platform coverage, and share of citations ^[43]. It extracts citations, opens cited pages, and checks whether each page supports the claim attributed to it, reporting a platform-specific Citation Precision score rather than only a citation count ^[44].

Main strengths for the use case. The methodology runs three iterations of each prompt to account for LLM non-determinism and weights citations that appear consistently higher than one-off citations ^[45]. The deliverable includes a prioritized AEO Improvement Plan, target lists, and a suggested sequence based on competitor-occupied questions versus open territory ^[43]. The included Readiness Audit evaluates one important page across five categories and identifies issues such as crawler blocks ^[43].

Main limitations. The methodology is explicitly designed for B2B SaaS companies. The company states the 50 prompts, buckets, and scoring assume B2B buyer behavior, has been tested on B2B AI consulting, RAG implementation, and AEO services, and has not been validated for D2C, e-commerce, or non-B2B contexts, recommending buyers outside B2B SaaS ask before purchasing ^[46]. Gemini was removed from standard audits in June 2026 because Google's grounding terms restrict collecting, storing, and analyzing citation URLs ^[47]. The company states that if monthly recurring revenue is under $50,000, the audit is probably premature ^[48]. The audit is point-in-time and does not trace buyers through closed-deal or CRM outcomes.

Pricing or cost summary. The current AI Citation Audit page lists a one-time price of $995 with no retainer, including a Readiness Audit described as normally a $29 product [e6:official:C1]. Public pages show conflicting historical or alternate prices including $497 and $1,497 ^[49]. Google reported the audit is credited in full toward a subsequent Fix engagement ^[50]. Future tracker plans are listed at $79/month for Pro and $299/month for Enterprise ^[51].

Where platforms disagreed. Grok rated it strong and said the methodology applies to publishers. Google rated it good and called it highly recommended for publishers whose audience overlaps with ChatGPT, Claude, and Perplexity. Openai rated it good.

7. The Enough Agency

Questions This Section Answers

• Is The Enough Agency worth it for a review website that needs prompt-level competitor citation benchmarking, and what are its main drawbacks?
• Which AI search audit separates brand mentions from actual citations and maps the source types behind each?

The Enough Agency ranks seventh with two platform mentions — grok and perplexity — at an average listed position of 2.50 and a best position of 1.

Why it ranked here. Perplexity placed it first and grok placed it fourth. It ranks below Revenue Experts AI because its average position is higher (2.50 versus 2.00) on the same two mentions.

Best suited for. Review and comparison publishers tracking whether their pages, reviews, directories, forums, media sources, and competitors are cited in AI answers. The service tests commercial, comparison, problem, alternatives, and category prompts across ChatGPT, Gemini, Perplexity, Claude, Copilot, and Google AI Overviews, and reports recommendation context, sentiment, citation position, and competitor presence ^[52]. It separates mentions from citations and maps citation frequency, citation position, source quality, recommendation context, source churn, and visibility changes through repeated measurements.

Main strengths for the use case. The audit maps domains, URLs, source types, and citation positions, and checks reviews, directories, forums, media mentions, authority articles, PR signals, and external citations for reuse by AI systems ^[52]. It benchmarks competitor mentions, citations, sentiment, recommendation context, and supporting sources prompt by prompt, including where competitors win and the buyer is absent. Fixes are ranked by citation upside, business risk, competitor pressure, source influence, and implementation effort ^[53]. Google reported the agency converts audit insights into a prioritized 30-to-90-day implementation roadmap detailing on-site fixes, content updates, and citation placements ^[54].

Main limitations. The Citation Auditing page does not publish a dedicated price, fixed scope, turnaround time, sample deliverable, or publisher-specific service-level terms ^[52]. Capabilities and methodology are primarily company claims; independent evidence of accuracy, repeatability, customer outcomes, or citation gains was not identified. Public materials do not specify minimum sample sizes, prompt randomization, geographic controls, or statistical confidence procedures. Authority placements and press-wire distribution may create editorial-independence tradeoffs for publishers with strict disclosure standards. Kimi reported that the service page provides no verifiable detail on audit methodology, deliverable format, page counts, signal categories, or AI engines covered [e7:kimi:theenough.agency-2026].

Pricing or cost summary. The citation-auditing service itself is scoped through a strategy call with no dedicated public price. Public pricing lists a $199 one-hour consultation, Starter at $999 one-time for 10 queries, Growth at $1,999 one-time for 25 queries, and Scale at $3,999 one-time for 100 queries [e7:official:C2]. Global press-wire releases are $399 each and India press-wire releases are $199 each. Custom enterprise, regulated-vertical, and outcome-targeted programs are described as bespoke retainers without a public price.

Where platforms disagreed. Google rated it strong and described it as a highly recommended specialist. Openai, anthropic, and perplexity rated it good.

8. Helium SEO

Questions This Section Answers

• Is Helium SEO worth it for a publisher that needs a managed GEO diagnostic with third-party outreach targets, and what are its main drawbacks?
• Which AI search audit identifies which industry roundups, review platforms, and resource lists AI systems source recommendations from?

Helium SEO ranks eighth with two platform mentions — deepseek and kimi — at an average listed position of 3.00 and a best position of 3.

Why it ranked here. Both naming platforms placed it third. It ranks below The Enough Agency because its average position is higher (3.00 versus 2.50) on the same two mentions.

Best suited for. Publishers and review sites seeking a one-time diagnostic and prioritized GEO improvement roadmap. The AI Deep Dive Audit runs more than 250 high-intent prompts across ChatGPT, Perplexity, Gemini, and other leading AI platforms to measure brand mentions, competitor comparisons, and barriers to appearing in recommendations ^[55]. It quantifies AI share of voice, distinguishes primary mentions, secondary options, and absence, and compares citation frequency and authority against competitors.

Main strengths for the use case. The Competitive GEO Landscape Report benchmarks visibility by topic cluster and identifies competitors that dominate particular subjects ^[55]. The service analyzes industry roundups, review platforms, comparison articles, and resource lists where AI systems source recommendations, and proposes third-party outreach targets. The audit covers product pages, competitor comparisons, implementation guides, buyer-objection answers, topical breadth and depth, structured data, FAQ formatting, comparison tables, internal linking, and third-party trust signals. Google reported the audit uses a proprietary ORCA platform to track visibility across 8 leading AI engines ^[56].

Main limitations. No public methodology exists for prompt selection, repeatability, model/version control, geographic personalization, or statistical confidence ^[55]. No verified public evidence of continuous monitoring, API access, historical trend reporting, or URL-level citation datasets. No transparent public price or audit-specific commercial terms. Anthropic rated it uncertain and reported that Helium SEO does not publicly advertise an "AI Deep Dive Audit" product, listing available products as SEO Audit Services, technical audits, and a paid SEO Viability Audit ^[57]. Kimi reported the official website was unreachable during research ^[58].

Pricing or cost summary. AI Deep Dive Audit pricing is not publicly stated. The official page offers a free proposal and describes pricing as transparent without publishing an audit fee ^[55]. Helium's homepage advertises a free SEO and Ads audit valued at $1,500 with no contracts and no obligation [e8:official:C1]. General SEO consulting packages are reported to start at $2,500 per month, but this does not establish the price or terms of the AI Deep Dive Audit ^[59].

Where platforms disagreed. Grok rated it strong and described direct alignment between the AI Deep Dive Audit features and buyer criteria. Google rated it good and described the ORCA platform and 8-engine coverage.

9. Viali

Questions This Section Answers

• Is Viali worth it for a publisher that wants audit findings linked directly to remediation actions, and what are its main drawbacks?
• Which AI search audit publishes transparent per-tier pricing with all six AI engines included on every plan?

Viali ranks ninth with two platform mentions — deepseek and kimi — at an average listed position of 5.50 and a best position of 4.

Why it ranked here. Kimi placed it fourth and deepseek placed it seventh. It ranks below Helium SEO because its average position is higher (5.50 versus 3.00) on the same two mentions.

Best suited for. Review websites and publishers measuring whether their brand or articles appear in AI-generated recommendations, with findings connected to content, technical, schema, or WordPress remediation workflows. The GEO Audit uses six weighted scores: AI citability 25%, brand authority 20%, content E-E-A-T 20%, technical GEO 15%, schema 10%, and platform presence 10% ^[60]. It tracks brand mentions, prominence, sentiment, competing brands, and answer context across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews ^[61].

Main strengths for the use case. Viali states the audit detects whether a site is a publisher and grades it against an appropriate rubric rather than applying one standard to every site ^[61]. Citations Intelligence identifies where competitors are cited and which sources engines trust. Every finding links to a remediation action such as Website Improver changes, Content Studio briefs, or technical to-dos ^[62]. The platform advertises GA4, Search Console, Looker Studio, REST API, WordPress publishing, crawler controls, schema, and llms.txt support. All plans track all six engines with no engine gating [e9:official:C2].

Main limitations. Public documentation does not show how the publisher rubric differs from other verticals or how editorial quality, review methodology, author expertise, or affiliate disclosures are scored ^[61]. Proprietary opportunity weighting is undisclosed. Citation capture depends on sources exposed by each AI interface. Viali explicitly does not guarantee rankings, citations, traffic, or conversions. Independent evidence, named customer references, and third-party validation appear limited; Viali states it is new and has paying customers it cannot name publicly ^[63]. SOC 2 is described as readiness work rather than a completed certification ^[64]. Anthropic reported that Viali does not market a product specifically called "GEO Audit" and that the name belongs to Featured ^[65].

Pricing or cost summary. Starter is $79/month or approximately $63/month annually for one brand, 25 queries/month, two competitors, one seat, and weekly scans. Growth is $199/month or approximately $159/month annually for one brand, 100 queries/month, five competitors, three seats, and daily scans. Agency is $479/month or approximately $383/month annually for 50 client brands, unlimited queries and generations, ten competitors per client, ten seats, daily scans, and white-label reports [e9:official:C2].

10. Peec AI

Questions This Section Answers

• Is Peec AI worth it for a publisher that needs recurring AI citation monitoring rather than a one-time audit, and what are its main drawbacks?
• Which AI search audit classifies citation sources into editorial, corporate, UGC, reference, competitor, and owned categories?

Peec AI ranks tenth with two platform mentions — anthropic and openai — at an average listed position of 7.00 and a best position of 5.

Why it ranked here. Openai placed it fifth and anthropic placed it ninth, giving it the highest average listed position in the index. It ranks last because the ranking rule weights platform mentions first, and it shares the two-mention tier with entities that hold better average positions.

Best suited for. Publishers monitoring whether their articles, reviews, and domains are retrieved or cited by ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, and Copilot, and review websites benchmarking recommendation visibility, competitor mentions, citation share, influential source domains, and topic-level gaps. The platform distinguishes brand mentions from source visibility and tracks both URLs used during retrieval and URLs explicitly cited in visible answers ^[66]. Source analytics classify domains and URLs into categories such as editorial, corporate, UGC, reference, competitor, and owned sources.

Main strengths for the use case. Gap analysis ranks sources where competitors appear but the buyer does not, which is directly relevant to publisher authority and outreach prioritization ^[66]. The Actions engine clusters sources, calculates Relative Opportunity Scores on a 1–3 scale, and returns step-by-step guidance distinguishing on-page gaps from off-page editorial and community opportunities ^[67]. Peec AI identifies which review platforms such as Yelp, G2, Tripadvisor, Trustpilot, and Clutch appear as citation sources in recommendation queries ^[68]. Google reported that AI Referrals and My Website features connect with Google Analytics to track referred sessions, conversions, and revenue ^[69].

Main limitations. The platform is primarily an AI-search visibility and source-analysis product, not a complete editorial, technical SEO, or compliance audit ^[66]. It does not audit robots.txt configuration for AI crawlers, llms.txt generation, structured data validation, or crawlability issues ^[70]. Base plans cap tracking at three AI models; additional model coverage costs €20–30/month per engine, with comprehensive six-platform tracking costing a minimum of €240/month ^[71]. API access is Enterprise-only ^[72]. The Actions feature was in beta as of July 2026, and independent reviews note recommendations are directional rather than prescriptive ^[73]. Core six engines use UI scraping while Enterprise models use API queries, creating two different collection methods in the same dashboard ^[74]. The official site retrieval failed during normalization, and identity was resolved by exact-name fallback ^[75]. .

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What does the cross-platform AI consensus reveal about how AI search audit vendors are positioned for publishers in 2026?
• Why do AI search audit providers with the best average positions sometimes rank lower than providers with more platform mentions?

The market splits into three distinct delivery models, and the ranking table reflects that split rather than a single quality gradient.

Service-led audits dominate the top of the ranking. BeCited, citability.dev, Revenue Experts AI, The Enough Agency, and Helium SEO all sell one-time or project-scoped diagnostics rather than recurring dashboards. Four of the top eight entities lead with a fixed-price or scoped audit. This suggests platforms associate publisher AI-search auditing with human interpretation and a deliverable report more than with self-serve monitoring.

Platform-led monitoring occupies the bottom of the ranking. Semrush, Viali, and Peec AI sell subscriptions with recurring scans. Semrush ranks third on the strength of three mentions, but Viali and Peec AI rank ninth and tenth. The pattern is consistent: monitoring platforms were named by fewer platforms and placed lower when named.

Average position and mention count diverge sharply. Indexable AI holds an average position of 1.00 and Authoritas 1.50, yet both rank below Semrush, which has an average position of 5.67. The ranking rule weights mentions first, so entities that fewer platforms surfaced but placed highly finish lower than entities that more platforms surfaced but placed lower. .

Where the AI Platforms Agreed

Questions This Section Answers

• Which AI search audit providers did most platforms agree are a good fit for publishers and review websites?
• Which capabilities did the AI platforms consistently identify as essential for a publisher AI search audit?

BeCited, citability.dev, and Semrush each drew three platform mentions. No other entity exceeded two. This is the clearest consensus signal in the study.

Five platforms rated BeCited a good fit. Openai, anthropic, google, grok, and perplexity all returned good or better, with only deepseek and kimi dissenting. The agreement centers on the combination of manual review, multi-engine coverage, source mapping, and a prioritized roadmap.

Citation measurement and competitor benchmarking were treated as table stakes. Every entity that qualified was described by at least one platform as covering mention or citation measurement and competitor benchmarking. No qualifying entity was described as lacking both.

Source-domain analysis was widely attributed but rarely verified. Platforms attributed influential source-domain analysis to BeCited, citability.dev, Semrush, Indexable AI, Authoritas, Revenue Experts AI, The Enough Agency, Helium SEO, Viali, and Peec AI. Independent verification of the underlying methodology was absent for nearly all of them.

Publisher-specific proof was consistently missing. No entity in this index had a verified, independent publisher or review-site case study with measured citation outcomes. The closest evidence was Authoritas's CTR research submitted to the UK CMA ^[76] and The Enough Agency's press release coverage ^[77].

Where the AI Platforms Disagreed

Questions This Section Answers

• Why did AI platforms disagree about whether Semrush, Revenue Experts AI, and Helium SEO are good fits for publisher AI search audits?
• Which AI search audit providers had the widest gap between the highest and lowest platform fit ratings?

Semrush drew the widest fit spread. Five platforms rated it good, anthropic rated it mixed, and kimi rated it weak. Kimi reported no evidence Semrush audits AI crawler robots.txt controls, validates llms.txt, or simulates whether specific pages would be cited. Google reported the AI Search Site Audit does scan up to 100 pages for blocked LLM crawlers. These are direct factual conflicts, not differences of emphasis.

Revenue Experts AI split on buyer alignment. Grok rated it strong and said the methodology applies to publishers. Anthropic rated it weak and stated the use case is fundamentally misaligned because the service is designed for B2B SaaS. Google rated it good and recommended it for publishers whose audience overlaps with ChatGPT, Claude, and Perplexity. The company's own materials state the methodology has not been validated for non-B2B contexts ^[78].

Helium SEO split on product existence. Google and grok described the AI Deep Dive Audit as an existing offering with detailed deliverables and 8-engine coverage. Anthropic reported the product does not appear in official marketing or documentation. Kimi reported the website was unreachable. Deepseek reported no verifiable feature details could be found. .

How Buyers Should Choose

Questions This Section Answers

• What should a publisher check before choosing an AI search audit provider for citation visibility and category authority?
• Which AI search audit should a publisher choose if it needs a one-time diagnostic versus ongoing monitoring?

Start with the delivery model, not the ranking. If the buyer needs a one-time baseline with a written roadmap, the service-led entities in ranks 1, 2, 4, 6, 7, and 8 are the relevant set. If the buyer needs recurring measurement, the platform-led entities in ranks 3, 9, and 10 are the relevant set. The ranking table does not compare across these models on equal terms.

Match engine coverage to the buyer's actual citation sources. BeCited covers four engines. citability.dev covers four to five. Indexable AI covers six. Authoritas covers roughly 20 selectable models. Revenue Experts AI covers three and excludes Gemini. Peec AI covers three on base plans and up to 11–13 on Enterprise. A publisher whose traffic depends on Google AI Overviews should confirm that surface is included before purchase.

Verify whether the provider checks source eligibility, not just citation counts. Only Revenue Experts AI, citability.dev, and BeCited publicly describe verifying whether a cited page supports the claim attributed to it. Most other entities describe counting citations without describing validation.

Confirm publisher-specific scoring before assuming it exists. Only Authoritas and Viali publicly claim publisher-aware grading.

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 an AI search audit of a publisher or review website, and why.

The ranking rule is applied in this order: platform mentions, then average listed position, then best listed position. Platform mentions count only platforms that named the entity during ranking discovery. They do not reflect how many platforms later completed a fit assessment.

Eligibility required an entity to be named by at least two platforms. Forty unique entities were named across all platform responses. Ten qualified.

The final ranking table is the sole authority for rank, platform mentions, platform share, average listed position, and best position. Entity evidence bundles are the authority for buyer fit, features, pricing, strengths, limitations, disagreements, and citations.

Citations are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations across most entity bundles. Where a claim rests only on a company's own materials, this article labels it as company-reported or vendor-described.

Methodology Limitations

One prompt, one run. Each platform received the standardized prompt once. AI answers can vary by date, wording, location, account state, model, interface, browsing configuration, and the sources retrieved. A single run cannot establish stability.

Platform mentions are not endorsements. Being named during ranking discovery does not mean a platform rated the entity highly. BeCited ranked first on three mentions while two platforms rated it uncertain.

Platform-reported dates differ from the run date. Deepseek returned dates ranging from 2025-11-14 to 2026-06-11 depending on the entity. Anthropic returned 2026-01-15 for Authoritas. These are provenance metadata and do not independently prove freshness.

Company-owned sources dominate. Across the ten entity bundles, owned citations outnumber independent citations in eight cases. BeCited had 23 owned and 5 independent. citability.dev had 24 owned and 3 independent. Indexable AI had 17 owned and 2 independent. The Enough Agency had 27 owned and 2 independent. Viali had 22 owned and 2 independent.

Several official-site retrievals failed. citability.dev's services page, Helium SEO's site, and Peec AI's homepage all failed retrieval during normalization. Failed fetches were not used as verified domain keys, and missing excerpts were not treated as evidence of absence.

Identity resolution required fallback. Peec AI's identity was resolved by exact-name fallback and remains unverified. citability.dev, citable.dev, and Citable.dev are distinct entities with overlapping services. Viali's GEO Audit product name conflicts with Featured's product of the same name. .

Final Verdict

BeCited is the consensus leader for AI search audits aimed at publishers and review websites, based on three platform mentions at an average listed position of 3.67. Its combination of manual review, four-engine coverage, source-domain mapping, and a prioritized 90-day roadmap is the most frequently surfaced profile in this study.

citability.dev is the strongest alternative for buyers who prioritize reproducible, receipt-backed citation evidence over breadth of deliverables. Semrush is the strongest alternative for publishers already inside an SEO suite who want AI visibility connected to existing keyword, content, and backlink workflows.

For distinct buyer needs, Indexable AI and Authoritas hold the best individual positions in the index and are the strongest choices for enterprise six-surface diagnostics and publisher licensing analysis respectively. Revenue Experts AI is the only entity that publicly describes verifying whether a cited page supports the claim attributed to it, but its methodology is calibrated for B2B SaaS. The Enough Agency and Helium SEO offer bespoke, prompt-level audits with source grids and outreach targets. Viali and Peec AI are the monitoring-oriented options, with Viali linking findings to remediation actions and Peec AI providing daily trend tracking and source classification.

No entity in this index had a verified independent publisher case study with measured citation outcomes. Buyers should treat every ranking position as a measure of how often platforms surfaced the brand, not as proof of quality, and should require a sample deliverable, confirmed engine coverage, and named references before purchase.