Best AI Search Competitive Analysis Services

Answer Capsule

Profound is the consensus leader for AI Search Competitive Analysis Services in this 7-platform study, named by 6 of 7 platforms (85.7%) at an average listed position of 1.67 and a best position of 1. Peec AI (5 mentions, 71.4%, average 3.2) and Semrush (5 mentions, 71.4%, average 3.4) are the strongest alternatives for buyers who need lower entry pricing or unified SEO-plus-AI workflows. OtterlyAI (4 mentions, 57.1%) is the lowest-cost credible starting point. Ahrefs, Conductor, and Similarweb each appeared on 2 platforms (28.6%) and serve narrower needs: search-demand-scale benchmarking, enterprise AEO suites, and prompt-plus-traffic intelligence respectively. 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 recommendations are market intelligence, not independent customer reviews or proof of quality, and several entities' pricing, methodology, and identity details remain unverified.

Research Snapshot

• Topic: Best AI search audits and market intelligence for AI Search Competitive Analysis Services
• Target buyer: Companies seeking AI Search Competitive Analysis Services across AI search, generative-answer, and recommendation platforms
• Use case: Prompt-level recommendation data, recommendation position, citation analysis, citation architecture comparisons, source-gap analysis, historical context, and strategic recommendations
• Platforms included (7): openai, anthropic, deepseek, grok, perplexity, kimi, google
• Research date: 2026-09-18 (authoritative run date)
• Geography: United States
• Unique entities named across platforms: 36
• Qualifying entities: 7
• Eligibility rule: Named by at least two platforms during ranking discovery
• Ranking unit: Service provider or advisory partner

Platform-reported research dates differ from the authoritative run date for several platforms — deepseek reported 2026-01-15 for Profound and Similarweb, 2026-01-05 for Peec AI, 2026-06-10 for Semrush, 2026-06-11 for Ahrefs, 2026-01-29 for OtterlyAI, and 2026-02-14 for Conductor. These are provenance metadata and do not independently prove freshness.

The Consensus Ranking

Questions This Section Answers

• What are the best AI search competitive analysis services in 2026 for prompt-level recommendation and citation data?
• Which AI search audit providers were named most often across ChatGPT, Claude, Gemini, Grok, Perplexity, Kimi, and Google?

The table below is the authoritative ranking for this study. Platform mentions count only ranking-discovery mentions — the number of platforms that named the entity when asked which services they would recommend — not the number of platforms that later completed a fit assessment.

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

Questions This Section Answers

• Which AI search competitive analysis service should a buyer choose if they need citation architecture comparisons and source-gap analysis?
• Is a low-cost AI visibility monitor or an enterprise AEO platform better for a mid-market team tracking competitors across multiple engines?

1. Profound

Questions This Section Answers

• Is Profound worth it for AI search competitive analysis, and what are its main drawbacks?
• Which Profound plan does a buyer need for multi-engine competitive analysis, and what does the Growth tier exclude?

Profound is the consensus leader in this study and the most frequently named service for prompt-level AI-search competitive analysis. It was named by 6 of 7 platforms at an average listed position of 1.67, with four platforms placing it first ^[1]. The Profound platform tracks brand and competitor appearances in AI platforms with analysis by platform, topic, and prompt, and its citation layer distinguishes cited sources by category — Owned, Competitor, Earned Media, PR Wire, Social, and Institution — while surfacing prompts where competitors receive citations but the buyer does not ^[3].

Why it ranked here. Profound combines the three capabilities buyers in this use case weight most heavily: prompt-level competitor tracking, citation architecture with source-gap identification, and historical trend data. Its Prompt Volumes feature estimates real user query volume across AI engines, which multiple platforms described as a differentiator no other reviewed tool matched ^[4]. Enterprise plans track up to 9 engines including ChatGPT, Claude, Perplexity, Gemini, Copilot, Grok, DeepSeek, Google AI Mode, and Google AI Overviews ^[1].

Best suited for. Enterprise marketing, SEO, content, PR, and brand teams monitoring competitors across multiple answer engines; buyers requiring citation-level source analysis, competitor benchmarking, historical trends, exports, API access, and recurring prompt tracking; organizations that want competitive findings connected to content briefs, outreach workflows, or AI-assisted execution.

Main strengths for this use case. Page-level citation tracking with source categorization and competitive citation-gap analysis ^[6]. Prompt Volumes delivers real query-volume intelligence for prioritizing citation opportunities by actual user demand ^[8]. Multi-engine coverage with model-level performance breakdown enables platform-specific strategy ^[1]. Enterprise-grade security including SOC 2 Type II, HIPAA, GDPR alignment, SSO via SAML/OIDC, RBAC, and AES-256 encryption ^[9]. Agent Analytics surfaces AI crawler behavior patterns indicating which pages are candidates for optimization ^[11].

Main limitations. Enterprise pricing and contract terms are not published; sales contact is required ^[12]. The trial is limited to 10 prompts run once on ChatGPT with no history or exports ^[13]. Public materials do not clearly define a universal recommendation-position metric, sampling controls, answer-variance handling, or citation-authority scoring ^[3]. The dashboard is data-heavy and reviewers describe a steeper learning curve than lighter tools ^[14]. Independent evidence validating customer ROI or measurement accuracy was not established in the reviewed sources.

Pricing or cost summary. Public pricing is tiered. G2 lists Starter at $99/month, Growth at $399/month, and Enterprise as contact us ^[15]. Anthropic-reported evidence describes Growth at $399/month billed annually as $4,788/year with 3 engines, 100 prompts, and 400 Agent credits/month ^[16]. Google-reported evidence lists Starter at $99/month (or $82.50/month billed annually) tracking ChatGPT only with 1 seat, 50 prompts, 100 agent credits, and 1 region/language, and Growth at $399/month (or $332.50/month billed annually) tracking 3 engines with 3 seats, 100 prompts, 400 agent credits, and 6 optimized articles ^[17].

2. Peec AI

Questions This Section Answers

• Is Peec AI better than Profound for prompt-level recommendation position when a mid-market budget matters?
• Which AI engines does Peec AI include on self-serve plans, and what does adding Claude or Grok cost?

Peec AI ranked second, named by 5 of 7 platforms (71.4%) at an average listed position of 3.2 with a best position of 2. The Peec AI platform measures individual tracked chats generated from prompts, including model, response text, brand mentions, mention order, and URLs accessed or cited, and it compares competitors on the same prompts ^[18]. Its position metric is based on the order of all detected brands in a response, including untracked brands appearing ahead of a tracked competitor ^[18].

Why it ranked here. Peec AI is the strongest mid-market alternative to Profound for buyers who need prompt-level recommendation position, citation architecture, and source-gap analysis without enterprise procurement. It distinguishes sources an engine accessed from citations explicitly shown in the answer, and separately reports brand visibility versus source visibility ^[18]. Its Actions module converts competitive gaps and source data into prioritized on-page and off-page recommendations with opportunity scoring, and it is included with all plans at no additional cost ^[19].

Best suited for. Marketing, SEO, content, and PR teams tracking named competitors across AI-generated answers; buyers prioritizing prompt-level visibility, recommendation position, citation architecture, competitor source gaps, and actionable content or outreach recommendations; organizations willing to select tracked prompts and engines within usage-based plan limits.

Main strengths for this use case. Prompt-level data classified by intent type (branded/non-branded, informational/commercial/transactional) ^[21]. Citation source clustering into owned pages, editorial coverage, reference sites, and UGC communities including Reddit, YouTube, LinkedIn, Medium, and review sites ^[23]. Actions module with Relative Opportunity Score (1–3) based on how often AI models cite a source type and how much competitors appear there ^[24]. UI scraping captures what real users see rather than sanitized API responses ^[25]. Unlimited seats on all paid plans ^[26]. Daily historical tracking with citation drift monitoring — 40–60% of cited domains change monthly ^[27].

Main limitations. Self-serve plans track only three models chosen from ChatGPT, Google AI Mode, Google AI Overviews, Microsoft Copilot, Perplexity, and Gemini; Claude, DeepSeek, Grok, Qwen, and Mistral are Enterprise-only via API ^[28]. No built-in end-to-end AI referral attribution or citation-to-lead tracking ^[30]. No retroactive historical data — trends are tracked from onboarding forward ^[27]. Actions identifies opportunities but does not execute; users must write, pitch, or optimize content themselves ^[31]. No publicly listed SOC 2, HIPAA, or formal compliance certifications ^[32].

Pricing or cost summary. Starter is $95/month for 50 prompts, three selected models, one project, daily tracking, and unlimited users. Pro is $245/month for 150 prompts, three models, two projects, and up to three countries. Advanced is $495/month for 350 prompts, three models, five projects, and broader country support ^[33]. Annual billing is advertised as 15% below monthly pricing, with independent September 2026 reviews reporting approximately $80, $205, and $420 monthly equivalents ^[34]. Additional models cost €30/month on Starter, €70 on Pro, and €140 on Advanced in one source, and €25/€55/€115 in another ^[35].

3. Semrush

Questions This Section Answers

• Is Semrush or Peec AI better for AI search competitive analysis when a team already uses Semrush SEO tools?
• How many prompts and competitors does the Semrush AI Visibility Toolkit track, and what does each additional domain cost?

Semrush ranked third, named by 5 of 7 platforms (71.4%) at an average listed position of 3.4 with a best position of 2. The Semrush AI Visibility Toolkit's Competitor Research report compares a brand against up to four competitor domains with side-by-side metrics for mentions, citations, topic coverage, and topic/prompt gaps, and it identifies where competitors are cited in AI responses but the brand is not ^[37].

Why it ranked here. Semrush is the strongest option for buyers who want AI-search competitive analysis integrated with an existing SEO workflow. It combines AI visibility metrics with traditional keyword rankings, SERP features, and site auditing in one dashboard ^[39]. Its prompt database is company-reported at more than 317 million prompts and responses across 117 regional databases, updated daily on a rolling basis and capturing responses from real requests rather than LLM APIs ^[40].

Best suited for. Marketing and SEO teams benchmarking their brand against up to four named competitors across ChatGPT, Gemini, Google AI Overviews/AI Mode, and selected other supported AI surfaces; companies that want prompt-level gap analysis, daily monitoring, historical trend context, cited-page comparisons, and integration with traditional SEO workflows; organizations preferring a self-service platform with optional enterprise limits.

Main strengths for this use case. Direct competitor comparison with up to four competitor domains ^[37]. Prompt and topic gap discovery showing where competitors appear and the buyer does not ^[41]. Metrics covering AI visibility, mentions, audience, share of voice, sentiment, citations, and cited pages ^[42]. Six months of historical comparative data in Competitor Research ^[37]. Prompt Tracking ranks domains by citation order in ChatGPT Search and treats the Google AI Mode response area as position 1, with citations as positions 2+ ^[43]. A "Unique" filter isolates prompts where only the brand appears and competitors are absent ^[44].

Main limitations. Base AI Visibility Toolkit tracks 25 custom prompts per domain, which independent reviewers describe as a directional signal rather than sufficient for precise share-of-voice claims ^[45]. Data volatility was observed — the top brand recommendation position changed approximately 44% between identical runs ^[47]. Semrush supports only six regional databases (US, UK, Canada, Australia, India, Spain) and AI visibility data is available only for US English ^[48]. It is a monitoring platform rather than an optimization platform, and AI-generated recommendations are described by users as generic ^[50]. Claude, Copilot, and DeepSeek are reserved for a separate Enterprise AIO product ^[52].

Pricing or cost summary. The standalone AI Visibility Toolkit is publicly listed at $99/month per domain when billed annually, with 25 tracked prompts, 300 daily AI-analysis queries, and 1,000 daily Prompt Research queries ^[53]. Semrush One annual introductory prices are $165.17/month for Starter, $248.17 for Pro+, and $455.67 for Advanced, with non-introductory monthly reference prices of $199, $299, and $549 ^[54]. Additional user add-on starts at $45/month; Base Report is $10/month and Pro Report $20/month ^[54].

4. OtterlyAI

Questions This Section Answers

• Is OtterlyAI worth it for AI search competitive analysis on a small-team budget, and what are its main drawbacks?
• What do Gemini, Google AI Mode, and Claude add-ons cost on each OtterlyAI tier?

OtterlyAI ranked fourth, named by 4 of 7 platforms (57.1%) at an average listed position of 3.25 with a best position of 2. The OtterlyAI platform tracks brand mentions, citation links, average brand position per prompt, and sentiment analysis daily across tracked AI engines, converting keywords into trackable prompts for AI-generated answers ^[55].

Why it ranked here. OtterlyAI is the lowest-cost credible entry point in this ranking. Lite starts at $29/month, and the platform includes a GEO Audit with crawlability checks, content audit, and predictive scoring to assess the likelihood of AI engines citing content before publication ^[57]. It provides URL-level citation tracking showing every domain cited by each AI engine and tracks link-position changes over time with daily updates ^[58].

Best suited for. SMEs, marketing teams, and agencies needing recurring monitoring across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot; buyers needing prompt-level brand and competitor visibility, cited-source discovery, historical monitoring, API access, and report sharing; teams seeking a comparatively low-cost starting point before adopting an enterprise or consulting-led GEO platform.

Main strengths for this use case. Granular citation tracking at URL level with domain-source analysis and link-position history ^[58]. Competitive benchmarking showing share of voice and competitor coverage comparisons over time ^[60]. GEO Audit with predictive scoring and page-level recommendations ^[61]. Multi-country and multi-language support across 50+ markets ^[62]. Unlimited team members on all tiers ^[63]. API and Looker Studio integration on Standard and Premium ^[64].

Main limitations. Four engines are included in base plans; Gemini, Google AI Mode, and Claude are paid add-ons costing $9–$439/month per engine depending on tier ^[65]. Prompt volume ceilings restrict depth: 15 prompts on Lite and 100 on Standard are described as enough for validation but not broad coverage across multiple categories, markets, or competitors ^[66]. The platform measures visibility but does not improve it or execute optimization ^[67]. Data accuracy is affected by AI platform Memory RAG and personalization, which can cause discrepancies versus logged-in assistant experiences ^[68]. Sentiment analysis occasionally misclassifies mentions on newer niche AI platforms ^[68].

Pricing or cost summary. Lite is $29/month ($25/month billed annually) for 15 prompts, 1 workspace, and 1,000 GEO URL audits. Standard is $189/month ($160/month billed annually) for 100 prompts, unlimited workspaces, and 5,000 GEO URL audits. Premium is $489/month ($422/month billed annually) for 400 prompts, unlimited workspaces, and 10,000 GEO URL audits [e4:official:C2]. Engine add-ons: Claude is $29/month on Lite, $109/month on Standard, and $439/month on Premium; Gemini and Google AI Mode are $9/month on Lite, $59/month on Standard, and $149/month on Premium [e4:official:C2]. Extra prompt batches can be added to Standard and Premium in increments of 100 prompts for $99/month [e4:official:C2]. Enterprise starts from $1,000/month [e4:official:C2]. A 7-day free trial is available without a credit card [e4:official:C2]. .

5. Ahrefs

Questions This Section Answers

• Is Ahrefs Brand Radar worth it for AI search competitive analysis, and what accuracy limitations should a buyer verify?
• Which AI engines does Ahrefs Brand Radar cover, and what does the all-platform bundle cost on top of a base plan?

Ahrefs ranked fifth, named by 2 of 7 platforms (28.6%) at an average listed position of 5.0 with a best position of 5. The Ahrefs Brand Radar AI Visibility Index analyzes hundreds of millions of search-backed prompts modeled from Ahrefs keyword and People Also Ask data, and Custom Prompts lets buyers track exact questions across supported platforms ^[70].

Why it ranked here. Ahrefs brings the largest reported search-backed prompt corpus in this ranking and connects AI-answer visibility to backlink, keyword, search-demand, Reddit, and YouTube signals. Brand Radar reports cited pages and domains and distinguishes brand mentions from citations, supporting analysis of which sources influence AI answers ^[70]. It also reports AI Share of Voice and competitor benchmarking with historical trends ^[71].

Best suited for. Large-scale competitive benchmarking across ChatGPT, Google AI Overviews/AI Mode, Perplexity, Gemini, and Microsoft Copilot; citation and cited-page analysis connected to SEO, web visibility, search demand, Reddit, and YouTube signals; teams that want both pre-collected market coverage and custom buyer-prompt tracking.

Main strengths for this use case. Large search-backed prompt corpus rather than a small manually selected prompt set ^[70]. Separate visibility measures for mentions, citations, impressions, and AI Share of Voice ^[72]. Cited-page and cited-domain reporting suitable for comparing competitors' source ecosystems ^[70]. Combination of historical indexed data and exact custom prompts ^[70]. Strong adjacency to SEO, search demand, web visibility, and content-gap workflows ^[73].

Main limitations. Ahrefs explicitly states that AI assistants are probabilistic and that traditional fixed rank tracking does not translate well; the product emphasizes mentions, citations, impressions, and AI Share of Voice rather than a universal recommendation-position metric ^[74]. Brand Radar is built on a keyword-first model rather than prompt-level tracking, with missing features including prompt-level breakdown, query context, citation clarity, and AI model behavior analysis ^[75]. One independent test reported Brand Radar showed 3 ChatGPT mentions globally versus an actual count of 123 — a 97.5% discrepancy ^[77]. Mention count does not indicate whether the brand was the first recommendation, an alternative, a negative example, or a minor reference ^[78]. Coverage of emerging players like Grok and Claude lags ^[79].

Pricing or cost summary. Brand Radar AI selected-platform access is publicly listed from $199/month. All-platform access is publicly listed at $699/month, including 2,500 custom-prompt checks/month ^[80]. Custom-prompt packages are Basic at $50/month plus 2,500 checks, Growth at $100/month plus 7,000 checks, and Scale at $250/month plus 25,000 checks, with overage at $0.020, $0.015, and $0.010 per check respectively ^[80]. A base Ahrefs subscription is required in some configurations: Lite is $129/month (or $108/month annual), Standard $249/month, Advanced $449/month, and Enterprise $1,499/month minimum ^[81]. Beta channel indexes such as YouTube, Reddit, and TikTok are described as free while in beta and may become chargeable add-ons ^[80]. .

6. Conductor

Questions This Section Answers

• Is Conductor worth it for enterprise AI search competitive analysis, and what do verified users say about its AI visibility depth?
• What does Conductor cost annually, and does it provide prompt-level recommendation position or only mentions and citations?

Conductor ranked sixth, named by 2 of 7 platforms (28.6%) at an average listed position of 5.5 with a best position of 4. The Conductor AI Search Performance product supports configurable synthetic prompt generation by topic, persona, intent, brand, product, region, and selected engine, with published examples including recommendation, comparison, pricing, and purchase-oriented prompts ^[83].

Why it ranked here. Conductor is the strongest fit in this ranking for enterprises that want AI-search competitive analysis inside an existing SEO and content workflow. It documents citation tracking across ChatGPT, ChatGPT Search, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Claude, and its MCP documentation describes citation-domain analysis, citation market share, queries where a brand is mentioned but not cited, and comparisons against competitor domains ^[84]. It holds SOC 2 Type 2 and ISO 27001 certifications and was named a Leader in the 2025 Forrester Wave for SEO platforms with the highest scores possible in AI-integrated SEO ^[85].

Best suited for. Enterprise SEO, content, and digital-marketing teams needing repeatable prompt-level monitoring across multiple AI engines; companies that want citation-gap analysis connected to content recommendations and technical crawler monitoring; organizations able to support enterprise procurement, implementation, and potentially custom commercial terms.

Main strengths for this use case. Broad named coverage of major AI-answer engines and citation surfaces ^[84]. Configurable prompts by intent, persona, topic, brand, product, and geography ^[83]. Competitive citation-share, cited-domain, mention-versus-citation, and historical-analysis workflows ^[84]. Connection between competitive findings and page-level content, internal-linking, and technical crawler recommendations ^[87]. AI crawler activity monitoring that connects bot activity to AI visibility performance ^[88]. Enterprise-grade security including SOC 2 Type 2 and ISO 27001 ^[86].

Main limitations. Public evidence is primarily vendor-owned; independent validation of metric accuracy and customer outcomes is limited ^[89]. Exact recommendation-position methodology and reproducibility are not fully disclosed ^[89]. Prompt generation at topic scale may reduce direct control over a fixed, manually curated benchmark set ^[83]. Engine coverage and historical depth may differ — one published study noted Claude had only two months of captured data ^[90]. Multiple verified enterprise users report the AI visibility tracking is maturing but does not yet provide the depth of insight needed to act confidently, and optimization recommendations for improving AI citation rates are less prescriptive than those from purpose-built GEO tools ^[91]. The MCP documentation says some citation-analysis outputs are directional while the dataset is being refined ^[84].

Pricing or cost summary. Current public list pricing for Conductor AI Search Performance or AI Search Monitoring was not found in the reviewed sources; the available evidence indicates enterprise/custom pricing rather than a published self-service rate card ^[89]. Third-party procurement data cited in the evidence reports typical annual investments ranging from $26,800 to $500,000+, with a median of $48,950 for mid-market deployments and $150,000+ for enterprise organizations managing multiple domains ^[93].

7. Similarweb

Questions This Section Answers

• Is Similarweb or Semrush better for AI search competitive analysis when prompt-level answer review and AI referral traffic both matter?
• How many AI engines does Similarweb track for visibility versus traffic, and what does the $99 entry plan include?

Similarweb ranked seventh, named by 2 of 7 platforms (28.6%) at an average listed position of 8.5 with a best position of 7. The Similarweb AI Search Intelligence platform's Prompt Analysis exposes tracked user prompts, the corresponding chatbot answer, brands mentioned, and exact source citations ^[94].

Why it ranked here. Similarweb is the only option in this ranking that combines prompt-level answer inspection with AI referral traffic measurement. Prompt Analysis displays brands mentioned in order of mentions within an answer and supports competitor visibility and mention-share comparisons ^[94]. Citation Analysis identifies influential domains and URLs cited in AI answers, supporting competitor source-gap analysis and publisher targeting ^[95]. The free AI Traffic Checker supports comparison of up to five competitor domains, AI referral sources, top pages, and traffic-driving prompts ^[96].

Best suited for. Marketing, SEO, GEO, PR, and content teams benchmarking brand and competitor visibility in AI-generated answers; companies needing actual tracked prompts, chatbot answers, mentioned brands, and exact cited sources; teams combining AI-answer visibility with competitor AI traffic, landing-page, and prompt-referral analysis.

Main strengths for this use case. Direct prompt and answer inspection rather than only aggregate visibility scores ^[94]. Competitor brands can be viewed in answer mention order with exact cited sources ^[94]. Citation Analysis supports domain-level and URL-level source-gap investigation ^[95]. Visibility, sentiment, citation, and AI-traffic metrics can be combined in one broader intelligence workflow ^[96]. Public pricing is comparatively transparent for self-service packages ^[97].

Main limitations. Recommendation position is not publicly defined as a normalized cross-platform ranking metric; the tool displays brands in order of mentions but does not establish a standardized recommendation-position score ^[94]. Prompt-level coverage is described for selected platforms, while broader AI Traffic coverage should not be conflated with answer-tracking coverage ^[98]. Public plan limits include 150 tracked prompts in the listed AI Brand Visibility package and limited stated historical windows ^[99]. Sampling methodology, prompt representativeness, geographic controls, refresh details by platform, and data-export/API entitlements are not fully public ^[94]. Data accuracy can be unreliable for websites with lower traffic, which is cited as a significant drawback for small business use cases ^[100].

Pricing or cost summary. AEO Intelligence is $99 per month billed annually or $129 monthly. The AEO & SEO & Competitive Intelligence package is $333 per month billed annually or $399 monthly, including AI Brand Visibility, 150 tracked prompts, six months of historical data, sentiment analysis, citation analysis, AI traffic, and broader SEO and competitive-intelligence modules ^[97]. A third tier at $542/month billed annually or $649/month monthly adds ads intelligence ^[101]. The listed packages include one user; the public page does not state the cost of additional users, higher prompt volumes, or enterprise scaling ^[97]. Similarweb states that annual-plan cancellation prevents renewal after the current billing period, while entrepreneur plans can be canceled from subscription settings ^[97]. .

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What do the AI platforms collectively reveal about which AI search competitive analysis capabilities buyers should prioritize?
• Why do enterprise AEO platforms and self-serve AI visibility monitors diverge so sharply on engine coverage and pricing?

Three structural patterns emerge from the seven platform responses.

First, citation architecture is the primary battleground. Every qualifying entity's evidence bundle treats citation analysis as a core capability, but depth varies sharply. Profound tracks cited URLs by source category and identifies prompts where competitors receive citations but the buyer does not ^[102]. Peec AI distinguishes sources an engine accessed from citations explicitly shown in the answer ^[103]. Semrush surfaces cited pages and missing sources ^[104]. Ahrefs reports cited pages and domains but does not provide sentiment analysis or citation quality scoring ^[105]. Conductor documents citation-domain analysis and citation market share but characterizes some outputs as directional ^[106]. Similarweb maps influential domains and URLs but does not publicly define a normalized recommendation-position metric ^[107].

Second, engine coverage is gated by tier almost universally. Profound's Starter tracks ChatGPT only; Growth tracks three engines; full coverage requires Enterprise ^[108]. Peec AI's self-serve plans cap at three models with Claude, DeepSeek, Grok, Qwen, and Mistral Enterprise-only ^[109]. Semrush's base toolkit covers four core systems with Claude, Copilot, and DeepSeek reserved for Enterprise AIO ^[110]. OtterlyAI includes four engines with Gemini, Google AI Mode, and Claude as paid add-ons ^[111]. Ahrefs covers six platforms but lacks Claude and Grok in the base toolkit ^[112].

Where the AI Platforms Agreed

Questions This Section Answers

• Which AI search competitive analysis capabilities did all seven platforms agree are essential?

All seven platforms converged on several points.

Profound belongs at or near the top. Six of seven platforms named Profound, and four placed it first ^[113]. Even platforms that rated it "mixed" or flagged limitations acknowledged its citation depth and enterprise compliance as category-leading ^[115].

Citation analysis is essential and distinct from mention tracking. Platforms consistently separated brand mentions from citations. Peec AI distinguishes sources accessed from citations shown ^[116]. Ahrefs distinguishes brand mentions from citations ^[117]. Similarweb exposes exact source citations per prompt ^[118].

Historical context matters but retention is rarely transparent. Profound lists all-time history on Enterprise but does not specify retention duration ^[119]. Peec AI tracks results over time but does not establish the retention period or backfill policy ^[116]. Semrush populates six months of historical comparative data ^[120]. Similarweb lists three months for AEO Intelligence and six months for the higher package ^[121].

Self-serve entry pricing clusters between $29 and $99 per month. OtterlyAI Lite is $29/month [e4:official:C2]. Peec AI Starter is $95/month ^[123]. Semrush AI Visibility Toolkit is $99/month per domain ^[124]. Similarweb AEO Intelligence is $99/month billed annually ^[121]. Profound Starter is $99/month ^[125].

Enterprise pricing is opaque across the board. Profound, Conductor, and Similarweb all require sales contact for enterprise tiers ^[126].

Where the AI Platforms Disagreed

Questions This Section Answers

• Where did the seven AI platforms disagree most about AI search competitive analysis services, and how should a buyer weigh conflicting fit ratings?

Fit ratings diverged sharply for four entities. Ahrefs received "good" from openai and google but "mixed" from anthropic, deepseek, grok, kimi, and perplexity ^[128]. Conductor received "strong" from grok, "good" from anthropic, openai, perplexity, and google, "mixed" from deepseek, and "uncertain" from kimi ^[130]. Similarweb received "strong" from grok and google, "good" from openai, anthropic, and perplexity, and "mixed" from deepseek and kimi ^[133]. OtterlyAI received "strong" from google, "good" from openai, anthropic, deepseek, grok, and perplexity, and "mixed" from kimi ^[136].

Accuracy claims conflict with independent testing. One independent test reported Ahrefs Brand Radar showed 3 ChatGPT mentions globally versus an actual count of 123 — a 97.5% discrepancy ^[138]. One independent review stated Peec AI has "no citation tracking at any tier," contradicting company documentation ^[139]. Semrush data volatility was observed at approximately 44% position change between identical runs ^[140].

Engine counts and coverage lists vary by source. Profound's Enterprise engine count is described as up to 9 in one source and up to 10 in another ^[141]. Peec AI's pricing page states up to 11 LLM models on Enterprise while its AI-instructions page lists 13 ^[139]. OtterlyAI's public feature pages state coverage of seven engines while the pricing page presents four included engines and three paid add-ons ^[143].

How Buyers Should Choose

Questions This Section Answers

• What should a buyer check before choosing an AI search competitive analysis service for prompt-level recommendation and citation data?
• Which AI search competitive analysis service has the lowest published entry cost, and what add-on fees apply?

Start with the metric you cannot compromise on. If the primary requirement is citation architecture and source-gap analysis at enterprise scale, Profound is the consensus leader ^[144]. If the primary requirement is prompt-level recommendation position with prioritized actions at mid-market pricing, Peec AI is the strongest alternative ^[145]. If the primary requirement is unified AI visibility plus traditional SEO, Semrush is the most integrated option ^[147].

Model the true cost including add-ons. Headline prices understate effective cost for multi-engine coverage. OtterlyAI's $29 Lite tier covers four engines, but adding Gemini, Google AI Mode, and Claude ranges from $76/month on Lite to $1,226/month on Premium ^[148]. Peec AI's three-model cap means full multi-engine coverage across six core models costs three to four times the headline price ^[149]. Semrush's $99 per-domain price multiplies across domains and seats ^[150]. Ahrefs' $199 per-platform or $699 all-platform pricing sits on top of a base plan starting at $129/month ^[151].

Verify recommendation-position methodology before signing. No entity in this study has a publicly documented, independently validated, universal recommendation-position score. Ask each vendor how position is defined when an answer contains multiple brands or recommendations, whether it is available consistently across all supported engines, and whether raw prompts, full answers, cited URLs, timestamps, and model/version information are exportable ^[144]. .

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 AI search competitive analysis services the platform would recommend for a company wanting prompt-level recommendation data, recommendation position, citation analysis, citation architecture comparisons, source-gap analysis, historical context, and strategic recommendations.

The research date is 2026-09-18. Platform-reported research dates differ from the authoritative run date for several platforms and are disclosed as provenance metadata only.

Entities qualified for the final ranking by being named by at least two platforms during ranking discovery. Thirty-six unique entities were named across platforms; seven qualified. The final ranking order is based on platform mentions, then average listed rank, then best listed rank. The ranking table is the sole authority for rank, platform mentions, platform share, average rank, and best rank.

Platform mentions count only ranking-discovery mentions — the number of platforms that named the entity when asked which services they would recommend — not the number of platforms that later completed a fit assessment. All seven platforms evaluated fit, but platform_mentions counts only platforms that named the entity during ranking discovery.

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

Methodology Limitations

AI answers vary. AI answers can vary by date, wording, location, account state, model, interface, browsing configuration, and the sources retrieved. A single standardized prompt sent once to each platform captures one snapshot.

Platform recommendations are market intelligence, not independent customer reviews or proof of quality. A platform naming an entity does not mean the platform tested the product or verified its claims.

Platform-reported research dates differ from the authoritative run date. Deepseek reported 2026-01-15 for Profound and Similarweb, 2026-01-05 for Peec AI, 2026-06-10 for Semrush, 2026-06-11 for Ahrefs, 2026-01-29 for OtterlyAI, and 2026-02-14 for Conductor. These dates are provenance metadata and do not independently prove freshness.

Identity details remain unverified for several entities. The deterministic identity audit flagged conflicting official domains and failed official-site retrieval for Profound, Peec AI, Ahrefs, and Similarweb. Profound's requested official website is profound.com, while the AI-search product materials and pricing reviewed are hosted at tryprofound.com ^[154]. Ahrefs' official-site retrieval failed because the HTML exceeded 1,000,000 bytes ^[155]. Similarweb's terms page retrieval timed out ^[156].

Company-owned citations materially outnumber independent citations for some entities. Semrush's evidence bundle contains 33 owned citations versus 29 independent citations ^[157]. Conductor's bundle contains 29 owned citations versus 25 independent citations ^[158]. Company claims should not be described as independently verified.

Pricing, contract terms, and methodology are frequently undisclosed. Profound, Conductor, and Similarweb do not publish enterprise pricing ^[159]. Sampling frequency, geographic localization controls, response deduplication, model/version change handling, confidence intervals, and reproducibility of recommendation-position metrics are not fully specified for most entities. .

Final Verdict

Profound is the consensus leader for AI Search Competitive Analysis Services in this 7-platform study, named by 6 of 7 platforms at an average listed position of 1.67. It is the strongest fit for enterprise buyers who prioritize prompt-level competitor visibility, citation architecture, source-gap analysis, historical tracking, and strategic content or outreach actions — provided they can accept opaque enterprise pricing and a recommendation-position methodology that is not fully defined publicly.

Peec AI is the strongest mid-market alternative, offering prompt-level recommendation position, citation architecture, source-gap analysis, and a prioritized Actions module at $95–$495/month with unlimited seats. Its main constraint is a three-model cap on self-serve plans.

Semrush is the best fit for teams already invested in SEO workflows, with competitor benchmarking against up to four domains and six months of historical data at $99/month per domain. Its main constraints are a 25-prompt base tier, US English-only AI visibility data, and monitoring without optimization.

OtterlyAI is the lowest-cost credible entry point at $29/month, with granular URL-level citation tracking and a differentiated GEO Audit. Its main constraints are paid engine add-ons and monitoring-only scope.

Ahrefs, Conductor, and Similarweb each serve narrower needs. Ahrefs offers the largest search-backed prompt corpus but a keyword-first methodology with reported accuracy gaps. Conductor offers an enterprise AEO suite with content workflow and crawler monitoring but no public pricing and maturing AI visibility depth. Similarweb combines prompt-level answer review with AI referral traffic but tracks visibility across only four engines and provides limited historical data on the entry plan. .