Best AI Visibility Platforms for Mid-Market Companies

Answer Capsule

OtterlyAI is the consensus leader for mid-market AI visibility and LLM monitoring, named by 5 of 7 platforms (71.4% share) at an average listed position of 3.0 and a best position of 1. Profound ties on mentions (5 of 7, 71.4%) but ranks second on average position (4.2). Semrush AI Toolkit is the strongest alternative for teams already inside an SEO suite, Viali for teams wanting six-engine coverage plus content remediation, and Ahrefs AI Visibility (inferred) for existing Ahrefs subscribers. Seven platforms were studied — OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google — using one standardized prompt sent once to each. Ten entities qualified by being named by at least two platforms. The principal limitation: platform answers are market intelligence, not independent customer reviews, and several entities show conflicting pricing, plan names, and engine coverage that buyers must verify directly.

Research Snapshot

• Topic: AI visibility and LLM monitoring platforms for mid-market companies
• Target buyer: Mid-market companies that need sophisticated AI search intelligence without enterprise-level complexity or cost
• Use case: Recommendation tracking, citation analysis, competitor benchmarking, prompt monitoring, historical trends, and actionable reporting
• Geography: United States
• Platforms included: openai, anthropic, deepseek, grok, perplexity, kimi, google (7 platforms)
• Research date: 2026-09-19
• Unique entities named: 27
• Qualifying entities: 10
• Eligibility rule: Named by at least two platforms during ranking discovery
• Ranking unit: Software platform or research platform

Platform mentions in this index count only ranking-discovery mentions. They do not represent the number of platforms that later completed a fit assessment, and they are not a quality score.

The Consensus Ranking

Questions This Section Answers

• What are the best AI visibility and LLM monitoring platforms for mid-market companies in 2026?
• Which AI visibility platform has the most cross-platform consensus for mid-market buyers?
• How many platforms named each AI visibility tool for mid-market recommendation tracking and citation analysis?

Note the structural tension in this table: rank.ai Agent Analytics and Frase AI Tracking hold the best average listed positions (1.0 and 2.5) but were named by only two platforms each, while OtterlyAI and Profound were named by five. The ranking rule — platform mentions first, then average listed rank, then best listed rank — places breadth of consensus above depth of individual endorsement.

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

Questions This Section Answers

• Which AI visibility platform should a mid-market buyer choose if they already pay for Semrush or Ahrefs?
• Is OtterlyAI or Profound better for a mid-market team that needs citation analysis and competitor benchmarking?
• Which AI visibility tool for mid-market companies has the lowest published entry price, and what does that tier actually include?

1. OtterlyAI

Questions This Section Answers

• Is OtterlyAI worth it for mid-market AI visibility tracking, and what are its main drawbacks?
• Which OtterlyAI plan should a mid-market company choose if it needs 100 tracked prompts across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot?
• How much does OtterlyAI cost once Claude, Gemini, and Google AI Mode add-ons are included?

OtterlyAI is the consensus leader because it was named by five of seven platforms and was the top-ranked entity on three of them (OpenAI, Grok, Perplexity) ^[1]. It is a purpose-built AI search visibility monitor rather than a bundled add-on, and its published pricing ladder is unusually transparent for the category.

Why it ranked here. OtterlyAI combines the broadest consensus with a credible mid-market entry point. It was named by OpenAI, Anthropic, DeepSeek, Grok, Perplexity, and Google, and its fit ratings ranged from "good" to "strong" across those platforms, with DeepSeek and Kimi rating it "uncertain" because official-site retrieval failed during their research passes ^[4].

Best suited for. Marketing or SEO teams monitoring a defined prompt portfolio across ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot; companies needing competitor benchmarking, citation-level analysis, historical visibility trends, and recurring reports; teams that want API, MCP, or agent-analytics capabilities without immediately buying a custom enterprise plan ^[1].

Main strengths for the use case. OtterlyAI aligns directly with all six evaluation criteria. It supports user-defined prompt monitoring with daily tracking — 100 prompts on Standard and 400 on Premium — across four base engines ^[6]. Citation analysis reports cited URLs, citation trends, citation changes, and whether cited pages mention the tracked brand ^[7]. Competitor benchmarking compares brand visibility, sentiment, citations, and share of voice against named competitors at prompt, engine, and market level ^[9]. Historical trend data covers brand coverage, share of voice, sentiment, rankings, and citations with PDF and CSV exports ^[10]. The GEO Audit evaluates 25+ on-page factors and produces page-level recommendations ^[11]. Standard and Premium include API and MCP access, and the platform reports multi-country support across 65+ countries ^[12].

Main limitations. Prompt capacity becomes expensive at scale because extra prompts are sold in 100-prompt blocks at $99/month ^[6]. Three engines — Claude, Google AI Mode, and Gemini — are paid add-ons rather than included, and full six-engine coverage can approach $787/month on Lite or $1,226/month on Premium ^[14]. The Lite plan's 15 prompts and one workspace are too constrained for most mid-market programs ^[15].

2. Profound

Questions This Section Answers

• Is Profound worth it for a mid-market company that needs citation analysis and competitor benchmarking across multiple answer engines?
• Is Profound or OtterlyAI better for mid-market AI visibility when annual billing flexibility matters?
• What does Profound's Growth plan include, and what does it cost per year?

Profound ties OtterlyAI on platform mentions (5 of 7) but ranks second because its average listed position is 4.2 versus 3.0. It is the deepest capability match in the set and the most expensive self-serve option among the top three.

Why it ranked here. Profound was named by OpenAI, Anthropic, Grok, Perplexity, and Google. Its fit ratings split: OpenAI, Anthropic, and Grok rated it "good," while Google and Perplexity rated it "mixed," primarily because meaningful multi-engine coverage starts at the $399/month Growth tier ^[16].

Best suited for. Mid-market marketing, SEO, and content teams that need executive-grade visibility, citation, sentiment, and competitor reporting; companies monitoring multiple answer engines and requiring historical trend analysis rather than occasional manual checks; teams willing to pay for deeper data and able to operationalize recommendations through existing content and SEO workflows ^[18].

Main strengths for the use case. The Growth plan monitors 100 unique prompts daily across three engines (ChatGPT, Perplexity, Google AI Overviews), returning roughly 9,000 responses per month ^[19]. Citation analysis shows which websites influence AI answers about the brand and tracks themes, keywords, and narratives ^[21]. The Aim feature automatically surfaces the highest-impact work weekly, turning monitoring insights into tracked projects ^[22]. Sentiment tracking operates at prompt level with daily positive/negative/trending classification ^[23]. Profound's Prompt Volumes dataset draws on a proprietary corpus of real user conversations, which the vendor describes as 1.5 billion or more ^[24]. Agent Analytics benchmarks citation performance against a network of 2M+ pages ^[25].

Main limitations. Annual-only billing with no published monthly option creates a $4,788 minimum commitment before evaluating platform output ^[26]. There is no API access at the Growth tier; API is Enterprise-only ^[27]. The 4x price gap between Starter ($99/month, ChatGPT-only) and Growth ($399/month, three engines) leaves no practical middle tier ^[26]. Agent-generated content lacks pre-publish quality scoring, and publishing requires manual CMS access ^[28]. Growth supports one language and one region ^[27]. FactCheck accuracy monitoring is Enterprise-only ^[22]. Public evidence does not establish that recommendations produce improved rankings, citations, pipeline, or revenue ^[18]. .

3. Semrush AI Toolkit

Questions This Section Answers

• Is Semrush AI Toolkit worth it for a mid-market company that already pays for Semrush SEO?
• Which Semrush AI Visibility plan should a buyer choose if they need more than 25 tracked prompts across ChatGPT, Google AI Mode, Gemini, and Perplexity?
• How much does Semrush AI Toolkit cost per domain, and what do additional users and prompts add?

Semrush AI Toolkit ranks third with the best average listed position among the three-mention group (2.67) and a best position of 2. It is the strongest fit for buyers already inside the Semrush ecosystem and the weakest fit as a standalone purchase.

Why it ranked here. Semrush was named by OpenAI, Grok, and Perplexity, and rated "good" by OpenAI, Anthropic, DeepSeek, Google, and Perplexity. Grok rated it "mixed" and Kimi rated it "weak," both citing per-domain pricing, weekly refresh cadence, and limited base engine coverage ^[29].

Best suited for. Mid-market companies already using Semrush for SEO and competitive intelligence; teams monitoring a focused set of strategic prompts for one primary domain; organizations needing citation, competitor-gap, sentiment, and trend reporting in one workflow ^[31].

Main strengths for the use case. The Base AI Visibility plan includes 25 custom prompts with daily AI rankings, and Prompt Tracking supports daily monitoring in ChatGPT Search, Google AI Mode, and Gemini ^[32]. Visibility Overview reports mentions, cited pages, citations, AI Visibility Score, model distribution, and geographic distribution; Brand Performance adds share of voice, sentiment, narrative drivers, cited domains, and question-level analysis ^[33]. Competitor Research compares against up to four competitors and identifies topic and prompt gaps ^[34]. Prompt Research analyzes a large corpus of real AI prompts across 42 global markets with volume estimates and intent classification ^[35]. The AI Search Site Audit checks crawler accessibility for major AI bots ^[36]. Reports integrate with My Reports for scheduled, presentation-ready output ^[31].

Main limitations. The Base plan's 25-prompt limit is restrictive for large product catalogs or multi-brand monitoring ^[32]. Per-domain pricing at $99/month per domain plus $99/month per additional user makes multi-domain or multi-person teams expensive; a five-domain, three-user configuration can exceed $1,000/month ^[37]. Independent reviewers describe the underlying methodology as probabilistic — simulated rather than live queries — so numbers should be treated as directional trends ^[38]. Competitors cannot be manually added; only dropdown-list competitors are available ^[38]. There is no standalone free trial for the toolkit itself ^[40]. Kimi reported that the AI Toolkit lacks per-response sentiment and citation tracking and provides raw data rather than prioritized recommendations ^[30]. .

4. Viali

Questions This Section Answers

• Is Viali worth it for a mid-market company that needs six-engine AI visibility tracking plus content remediation?
• Which Viali plan should a buyer choose if they need 100 queries per month across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews?
• What are Viali's main limitations for mid-market buyers who need enterprise governance or high query volumes?

Viali ranks fourth with three platform mentions and an average listed position of 5.0. It is the only entity in the top five whose evidence base is overwhelmingly company-owned — 17 owned citations versus one independent — which materially affects how its claims should be read.

Why it ranked here. Viali was named by Anthropic, DeepSeek, and Kimi. Google rated the fit "strong," OpenAI, Anthropic, Grok, and Perplexity rated it "good," and DeepSeek and Kimi rated it "uncertain" because independent validation and pricing transparency were limited ^[41].

Best suited for. One-brand mid-market marketing teams needing continuous visibility across six AI engines; teams that want competitor and citation diagnostics plus content-action workflows in one platform; companies needing GA4, Search Console, API, Looker Studio, alerts, and daily reporting without an enterprise contract ^[44].

Main strengths for the use case. Viali tracks six engines — ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews — on every plan, with no engine gating by tier [e4:official:C2]^[45]. The Growth plan includes one brand, 100 queries/month, five competitors, three seats, and daily scans [e4:official:C2]. Citation intelligence identifies the exact domains and pages AI engines cite and converts gaps into placement targets ^[46]. Competitor Intelligence provides side-by-side citation frequency comparison against named competitors within the same query set ^[47]. The Impact Ledger tracks every fix from baseline to outcome with daily re-scans showing verified, partial, or failed status ^[48]. The platform also tracks roughly 25 AI crawlers and community visibility across Reddit, Quora, and YouTube ^[49].

Main limitations. Growth provides 100 queries per month, which may be insufficient for broad product portfolios or extensive prompt libraries ^[44]. Public materials do not document historical data-retention duration, export scope for raw responses, or model/version controls in sufficient detail ^[44]. The evidence base is predominantly platform-reported; independent validation of tracking accuracy and customer outcomes is limited ^[50]. Enterprise-grade requirements such as formal SOC 2 certification status, SSO, advanced role controls, and contractual uptime commitments are not fully verified ^[51]. Anthropic noted that the platform's internal claim of +31% organic traffic correlated with visibility gains lacks independent third-party verification ^[52]. .

5. Ahrefs AI Visibility (inferred)

Read the full Ahrefs AI Visibility (inferred) fit review for supporting evidence and buying considerations.

Ahrefs AI Visibility ranks fifth with three platform mentions and an average listed position of 6.0. The entity name is explicitly inferred: the ranking-stage identity was labeled "inferred," and the product evidence concerns Ahrefs Brand Radar ^[53].

Why it ranked here. Ahrefs was named by OpenAI, Grok, and Kimi. OpenAI rated the fit "good," while Anthropic, DeepSeek, Google, and Perplexity rated it "mixed" and Grok and Kimi rated it "uncertain" ^[53].

Best suited for. SEO, content, and marketing teams already using Ahrefs; companies needing competitor benchmarking and citation-gap discovery across major AI search platforms; mid-market teams combining broad modeled coverage with a smaller set of monitored buyer prompts ^[53].

Main strengths for the use case. Brand Radar tracks visibility across Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Microsoft Copilot ^[53]. Custom Prompts can monitor buyer questions at monthly, weekly, or daily frequencies ^[61]. The product reports mentions, citations, cited pages and domains, AI Share of Voice, and estimated impressions, and distinguishes cited sources from pages that were retrieved but not cited ^[53]. Historical response access, date filtering, trend charts, report-builder widgets, API access, and a Looker Studio connector support recurring reporting ^[53]. The AI Visibility Index is built from search-backed prompts derived from Ahrefs keyword data, People Also Ask questions, and related query expansion ^[63].

Main limitations. The modeled index may underrepresent low-volume, niche, new, or highly specialized markets ^[53]. AI chatbot indexes are not necessarily real-time, and Custom Prompts accumulate data only after setup ^[53]. Private, logged-in, or personalized AI conversations are not comprehensively observable ^[53]. All-in cost can reach roughly $828/month when the base Ahrefs subscription is combined with the all-platform add-on ^[64]. There is no native sentiment analysis or brand risk monitoring ^[54]. Visibility metrics do not prove incremental traffic, leads, revenue, or causal improvement ^[53]. Kimi reported that Ahrefs' AI visibility capability appears as a beta toolkit with limited providers and weekly cadence, lacking competitor benchmarking and per-response sentiment tracking ^[59]. .

6. Peekaboo AI Visibility

Questions This Section Answers

• Is Peekaboo AI Visibility worth it for a mid-market team that needs daily prompt tracking without per-seat pricing?
• Which Peekaboo configuration should a buyer choose if they need daily tracking across ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode?
• What does Peekaboo AI Visibility cost per 1,000 configured checks, and what is the monthly minimum?

Peekaboo AI Visibility ranks sixth with three platform mentions and an average listed position of 7.33. Its distinguishing structural feature is configuration-based pricing with no per-seat charge.

Why it ranked here. Peekaboo was named by Anthropic, DeepSeek, and Kimi. OpenAI, Anthropic, Grok, and Perplexity rated the fit "good," while DeepSeek and Kimi rated it "uncertain" because official-site retrieval failed during their research passes ^[65].

Best suited for. Marketing and SEO teams monitoring one to several brands across five major AI search surfaces; companies wanting daily or every-two-days tracking with configurable prompt volume and competitor comparisons; teams that can turn prompt, citation, and competitor findings into their own content or digital-PR actions ^[65].

Main strengths for the use case. The platform reports live prompt execution across ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode ^[71]. It stores answers, brand mentions, rank, citation, and sentiment signals, allowing buyers to see whether their brand is recommended and where competitors appear instead ^[71]. Citation-source tracing preserves cited sources for recurring analysis ^[72]. Competitors can be added from brands already appearing in tracked answers, AI suggestions, or manual entry, with no explicit competitor-count cap stated on paid plans ^[73]. Competitor and prompt views can be filtered by time window, model, topic, and intent, with CSV export and a Looker Studio community connector ^[74]. There is no per-seat charge, and REST API access and Looker Studio access are included from the minimum paid configuration ^[65].

Main limitations. The public product materials are primarily company-owned claims; independent evidence of measurement accuracy and customer outcomes is limited ^[65]. Prompt-based monitoring measures selected scenarios, not all real-world AI searches or hidden retrieval behavior ^[75]. Citation formats differ across AI providers, reducing direct cross-model comparability ^[76]. Cadence is not independently configurable by brand within one configuration ^[65]. Anthropic reported that Claude, Microsoft Copilot, Grok, and DeepSeek are excluded from all plans, and that Peekaboo does not provide crawler log data ^[77]. Anthropic also noted a smaller historical dataset and a small founding team ^[79]. .

7. DeepSmith

Questions This Section Answers

• Is DeepSmith worth it for a mid-market company that wants AI visibility tracking and content production in one platform?
• Which DeepSmith plan should a buyer choose if they need ChatGPT, Perplexity, and Gemini coverage with 200 tracked prompts?
• What are DeepSmith's main limitations for buyers who need broad multi-engine coverage at a low price?

DeepSmith ranks seventh with three platform mentions and an average listed position of 8.0. It is the only entity in the set whose primary differentiation is closing the loop from visibility gap to published content.

Why it ranked here. DeepSmith was named by Anthropic, DeepSeek, and Kimi. Six of seven platforms rated the fit "good" (Anthropic, DeepSeek, Google, Grok, OpenAI, Perplexity), while Kimi rated it "uncertain" because the official site could not be retrieved during its research pass ^[80].

Best suited for. Mid-market marketing, SEO, AEO, and content teams seeking an integrated visibility-to-content workflow; companies comfortable starting with ChatGPT, Perplexity, and Gemini coverage depending on plan; teams needing recurring prompt monitoring, competitor comparison, citation/share-of-voice metrics, historical views, and CSV/API export without an enterprise contract ^[80].

Main strengths for the use case. DeepSmith tracks mention rate, citation rate, share of voice against named competitors, and sentiment across engines, with per-platform breakdowns, competitor leaderboards, full per-prompt answer history, and source domain attribution ^[87]. It provides 7-day, 30-day, and 90-day visibility views ^[83]. The Content Studio turns visibility gaps into publish-ready, brand-grounded articles seeded from the same data and brand context stored in Deep IQ ^[89]. The Apps Library ships finished distribution assets for LinkedIn, X, Substack, and email ^[89]. A WordPress Connector and REST API endpoints push finalized drafts and featured images directly to the CMS ^[91]. Public monthly pricing is transparent at $99, $199, and $399 [e7:official:C2].

Main limitations. Engine coverage is tier-gated: Pro tracks ChatGPT only, Grow adds Perplexity, Scale adds Gemini, and the full ten-engine view requires custom Enterprise pricing ^[92]. Prompt limits cap at 200 on the $399/month Scale plan ^[93]. The platform supports US English and six regions only, with limited multilingual tracking ^[94]. Every generated piece still requires final human review before publication ^[95]. DeepSmith is not built for SKU-level or product-placement ecommerce visibility ^[96]. Third-party review volume is limited, and the product is described as relatively new with occasional rough edges ^[97].

8. rank.ai Agent Analytics

Questions This Section Answers

• Is rank.ai Agent Analytics worth it for a mid-market company that needs daily AI visibility tracking at the lowest published price?
• Which rank.ai plan should a buyer choose if they need daily tracking across ChatGPT, Claude, and Gemini with competitor share-of-answer comparisons?
• What are rank.ai Agent Analytics' main drawbacks for buyers who need Microsoft Copilot coverage or high prompt volumes?

rank.ai Agent Analytics ranks eighth despite holding the best average listed position in the entire set (1.0) because it was named by only two platforms. This is the clearest illustration of the ranking rule: breadth of consensus outranks depth of individual endorsement.

Why it ranked here. rank.ai was named by DeepSeek and Kimi, both of which placed it first. However, its fit ratings split sharply: Google rated it "strong," OpenAI and Grok rated it "good," Perplexity rated it "mixed," and Anthropic, DeepSeek, and Kimi rated it "uncertain" ^[98].

Best suited for. Mid-market SEO or brand teams that need recurring AI visibility measurement without enterprise procurement complexity; teams prioritizing citation-source discovery, mention rate, rank position, sentiment, and competitor share-of-voice; buyers comfortable validating provider coverage, prompt limits, and credit consumption before purchase ^[99].

Main strengths for the use case. Agent Analytics tracks mention rate and rank position by prompt and provider, with daily re-checks by default ^[99]. Citation-source leaderboards aggregate domains cited for tracked prompts ^[99]. Share-of-voice comparisons run against competitors, and the Pro plan lists 15 daily questions with share-of-answer comparisons ^[105]. Persistent run history and per-prompt rank history support trend analysis over weeks rather than single snapshots ^[106]. The product advertises seven surfaces: ChatGPT, Claude, Gemini, Perplexity, Grok, Google AI Overviews, and Microsoft Copilot ^[107]. Rank.ai states it uses direct provider APIs and grounded/search-enabled modes rather than scraping or headless browsers ^[99]. Starter pricing at $50/month is the lowest published entry point among the ten ranked entities ^[105].

Main limitations. Microsoft Copilot is explicitly in stub mode and not production-tracked ^[108]. The published self-serve question limits are low: 3 daily AI questions on Starter and 15 on Pro ^[105]. Perplexity, Grok, and Google AI Overviews require opt-in configuration per prompt ^[109]. Autonomous agent intent simulation is not shipped ^[99]. DeepSeek and Meta AI are roadmap items without a firm timeline ^[99]. White-label dashboards and API access are listed as roadmap items for self-serve plans ^[105].

9. Frase AI Tracking

Questions This Section Answers

• Is Frase AI Tracking worth it for a mid-market content team that wants AI visibility monitoring and content production in one platform?
• Which Frase plan should a buyer choose if they need Claude and Gemini coverage alongside ChatGPT, Google AI, and Perplexity?
• What are Frase's main limitations for buyers who need internal knowledge integration or enterprise compliance?

Frase AI Tracking ranks ninth with two platform mentions and an average listed position of 2.5. It is the strongest fit in the set for teams whose primary bottleneck is content production rather than measurement.

Why it ranked here. Frase was named by DeepSeek and Kimi. Five of seven platforms rated the fit "good" (Anthropic, Google, Grok, OpenAI, Perplexity), DeepSeek rated it "mixed," and Kimi rated it "uncertain" ^[110].

Best suited for. In-house marketing and content teams that want monitoring and content remediation in one platform; companies tracking AI visibility across ChatGPT, Perplexity, Claude, Gemini, and Google AI; teams needing citation-level analysis, competitor share-of-voice comparisons, buying-stage segmentation, and daily alerts without enterprise procurement ^[110].

Main strengths for the use case. Frase tracks brand visibility across five primary AI platforms and automatically classifies tracked prompts into awareness, consideration, and decision stages with per-stage visibility scores ^[117]. It reports cited page URLs and their positions in citation lists ^[110]. Competitor benchmarking compares share of voice against selected competitors and reports industry citation-rate and share-of-voice benchmarks ^[118]. Prompts are tracked daily with alerts for visibility changes, brand-name variants, sentiment, and geographic targeting across 40-plus countries ^[120]. Visibility gaps carry into Frase research briefs, drafting, GEO optimization, and publishing workflows to WordPress, Webflow, Sanity, Wix, or FraseCMS ^[110]. A 7-day free trial is available without a credit card [e9:official:C2].

Main limitations. Engine coverage is plan-gated: Starter includes ChatGPT and Google AI; Professional adds Perplexity; Scale adds Claude and Gemini ^[111]. Public pricing does not clearly expose prompt quotas, historical retention by plan, or detailed AI-visibility overage rates ^[121]. AI Visibility alerts gaps but does not automatically remediate them ^[122]. Reported visibility can vary because generative AI outputs are nondeterministic, and public materials do not establish confidence intervals or sampling controls ^[123]. Advanced enterprise controls such as SSO/SAML, SLA, custom API access, white-label reporting, and two years of history are associated with Enterprise rather than standard plans ^[121]. The knowledge base is public-web-only and cannot integrate internal sources such as Confluence, Notion, or Zendesk ^[124].

10. Pineprompt

Questions This Section Answers

• Is Pineprompt worth it for a mid-market company that needs eight-platform daily AI visibility tracking with API and MCP access?
• Which Pineprompt plan should a buyer choose if they need 150 tracked prompts across two projects with Looker Studio integration?
• What are Pineprompt's main limitations for buyers who need independent third-party validation before purchase?

Pineprompt ranks tenth with two platform mentions and an average listed position of 3.5. It offers the broadest published engine coverage of any entity in the set — eight platforms on every tier — but its evidence base is thin.

Why it ranked here. Pineprompt was named by DeepSeek and Kimi. Google rated the fit "strong," OpenAI, Grok, and Perplexity rated it "good," and Anthropic, DeepSeek, and Kimi rated it "uncertain" or "weak" because independent verification was unavailable ^[125].

Best suited for. A mid-market marketing or SEO team monitoring one or two brands across major AI search platforms; teams needing daily US-English prompt tracking, competitor visibility, citation analysis, and share-of-voice trends; organizations wanting API, MCP, or Looker Studio access without an enterprise-only contract ^[125].

Main strengths for the use case. Pineprompt publicly lists eight first-class platforms: ChatGPT, Gemini, Perplexity, Claude, Google AI Overview, Google AI Mode, Grok, and Microsoft Copilot, with daily refreshes on every plan ^[125][e10:official:C1]. It captures brand mentions, position, sentiment, citations, and competitor names ^[125]. Citation analysis stores cited URLs and source positions, reports citation share, and presents cited domains as a content-gap input ^[125]. Competitor lists can be registered or auto-discovered from brands appearing in AI answers ^[132]. Country-and-language monitor configuration supports localized tracking ^[133]. Professional and Business plans include API access and Looker Studio integration, and MCP support connects visibility data to internal AI agents ^[134].

Main limitations. Publicly documented capacity may be restrictive for multi-brand mid-market organizations: Professional caps at two projects and 150 prompts; Business caps at five projects, 350 prompts, and five seats [e10:official:C2]. No pre-signup history is available; trend data begins when a monitor is created ^[133]. AI responses are nondeterministic and platform changes can create abrupt metric shifts ^[133]. Sentiment and brand matching can be misclassified and require spot-checking ^[133]. Public evidence does not establish independent customer ROI, accuracy benchmarks, or enterprise-grade service levels ^[125]. Custom enterprise pricing and terms are not publicly disclosed [e10:official:C2]. Anthropic reported that no independent evidence of Pineprompt as an operational AI visibility platform was found in its searches ^[129]. .

What the Cross-Platform Study Reveals About This Market

Questions This Section Answers

• What does the cross-platform AI consensus reveal about how mid-market AI visibility platforms are priced and packaged in 2026?
• Which AI visibility capabilities do most platforms agree mid-market buyers need, and which are consistently gated behind higher tiers?

Three structural patterns emerge from the ten entity bundles.

Engine coverage is the primary monetization lever. Every entity in the set gates at least some AI engines by tier or add-on. OtterlyAI includes four base engines and charges separately for Claude, Gemini, and Google AI Mode ^[135]. Profound's Starter tracks ChatGPT only; Growth adds two more engines; the full roster requires Enterprise ^[136]. Semrush covers ChatGPT, Google AI, Gemini, and Perplexity but not Claude or Copilot in base tiers ^[137]. Ahrefs gates platform indexes individually at $199/month each ^[138]. DeepSmith's Pro tracks ChatGPT only ^[139]. Frase requires the Scale plan for Claude and Gemini ^[140]. The exceptions are Viali, which includes all six engines on every plan, and Pineprompt, which includes all eight on every tier [e4:official:C2][e10:official:C2].

Prompt volume is the second monetization lever, and it is usually opaque. OtterlyAI publishes prompt counts per tier and sells additional blocks at $99 per 100 prompts ^[135].

Where the AI Platforms Agreed

Questions This Section Answers

• Which AI visibility platform capabilities do all seven platforms agree mid-market buyers should expect?

Several findings were consistent across platforms regardless of which entity they favored.

OtterlyAI and Profound are the two most consistently named entities. Both appeared on five of seven platforms. No other entity appeared on more than three.

Citation analysis and competitor benchmarking are table stakes. Every platform that assessed any entity in this set described citation tracking and competitor comparison as core expected capabilities for the mid-market use case.

Public pricing transparency varies widely and is a genuine differentiator. OtterlyAI, Profound, Viali, DeepSmith, Frase, Pineprompt, and rank.ai all have published self-serve tiers reported by multiple platforms. Semrush and Ahrefs have published add-on pricing but require a base subscription. Peekaboo's pricing model changed between research passes.

No entity in this set provides verified AI-to-revenue attribution. This was consistent across all ten bundles.

Enterprise controls are universally gated. SSO, SAML, SOC 2 documentation, dedicated support, and custom contractual terms appear only at Enterprise tiers or custom pricing across OtterlyAI, Profound, Semrush, Viali, Ahrefs, DeepSmith, and Frase ^[141].

Where the AI Platforms Disagreed

Questions This Section Answers

• Why do AI platforms disagree about AI visibility platform pricing and capabilities for mid-market buyers?
• Which AI visibility platforms have the most unresolved conflicts that a buyer must verify before purchase?

Disagreement in this study clustered into four categories.

Pricing conflicts. OtterlyAI's price was reported as $29/month by some platforms and $95/month or €95/month by others ^[148]. Profound was described as having published $99 and $399 tiers by four platforms and as quote-based enterprise-only by two ^[150]. Viali was described as having published $79/$199/$479 tiers by three platforms and as contact-sales-only by one [e4:official:C2]^[152]. Peekaboo's pricing was reported as flat $50/$100/$200 tiers by one platform and as configuration-based $16.67 per 1,000 checks by another ^[153]. rank.ai's Agent Analytics pricing was reported as published $50/$250 tiers by four platforms and as unpublished by one ^[155].

Existence and verifiability conflicts. Pineprompt was described with detailed published pricing and eight-platform coverage by four platforms and as unverifiable or nonexistent by three ^[157].

How Buyers Should Choose

Questions This Section Answers

• What should a mid-market buyer check before choosing an AI visibility platform for recommendation tracking and citation analysis?
• Which AI visibility platform should a mid-market company choose if it needs the lowest total cost across multiple brands and engines?

Work through these decision points in order.

1. Confirm your required engine set before comparing prices. If Claude, Gemini, or Google AI Mode are mandatory, OtterlyAI's add-on economics change the total cost materially ^[161]. If you need six engines at a flat rate, Viali and Pineprompt are the only entities in this set that include all engines on every tier [e4:official:C2][e10:official:C2].

2. Calculate total cost including base subscriptions. Semrush and Ahrefs both require base subscriptions that materially change the entry price. Semrush's toolkit is $99/month per domain, but a five-domain, three-user configuration can exceed $1,000/month ^[162]. Ahrefs' all-platform access plus base subscription can reach roughly $828/month ^[163].

3. Verify prompt volume against your actual tracking scope. OtterlyAI's Standard includes 100 prompts; Profound's Growth includes 100; DeepSmith's Scale includes 200; Frase's public pricing does not clearly expose prompt quotas ^[164][e7:official:C2]^[166]. Request a prompt calculator estimate or trial before committing.

**4.

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 visibility platforms would be recommended for a mid-market company needing recommendation tracking, citation analysis, competitor benchmarking, prompt monitoring, historical trends, and actionable reporting without enterprise-level complexity or cost.

The research date is 2026-09-19. Platform-reported research dates differ: Anthropic and DeepSeek returned earlier dates for some entities, and DeepSeek's date varied by entity (2026-01-15, 2026-02-14, 2026-06-01, 2026-06-11, 2026-06-13). These are provenance metadata and do not independently prove freshness.

Entities qualified for the final ranking by being named by at least two platforms during ranking discovery. Twenty-seven unique entities were named; ten qualified. The final ranking order is based on platform mentions first, then average listed position, 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. They do not represent the number of platforms that later completed a fit assessment. For example, Peekaboo AI Visibility was named by three platforms during ranking discovery but six platforms returned a usable fit assessment.

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.

Methodology Limitations

One prompt, one pass. The study used a single standardized prompt sent once to each platform. AI answers can vary by date, wording, location, account state, model, interface, browsing configuration, and the sources retrieved. A different prompt or a second run could produce different rankings.

Platform recommendations are market intelligence, not customer reviews. Being named by five platforms does not mean a product is better than one named by two. It means more platforms surfaced it in response to this specific prompt.

Platform-reported research dates differ from the authoritative run date. DeepSeek returned dates ranging from 2026-01-15 to 2026-06-13 across entities, and Anthropic returned 2026-01-15 for Profound and Semrush. These dates are provenance metadata and do not independently prove freshness.

Official-site retrieval failed for several entities. Normalization notes record failed official-site retrieval for OtterlyAI, Profound, Semrush, Ahrefs, Peekaboo, and DeepSmith across one or more platform passes. No failed fetch was used as a verified domain key.

Company-owned citations materially outnumber independent citations for several entities. Viali's evidence bundle contains 17 owned citations versus one independent. DeepSmith's contains 26 owned versus four independent. rank.ai Agent Analytics contains 19 owned and no deduplicated independent citation. Peekaboo contains 21 owned versus ten independent. Company claims should not be described as independently verified. .

Final Verdict

OtterlyAI is the consensus leader for mid-market AI visibility and LLM monitoring, named by five of seven platforms at an average listed position of 3.0. It is the safest shortlist anchor because it combines broad consensus with transparent published pricing, direct coverage of all six evaluation criteria, and a credible $29/month entry point for low-risk evaluation. Its principal weakness is engine add-on economics: full six-engine coverage can push total cost toward enterprise territory.

Profound is the strongest alternative for teams that need deeper citation, sentiment, and competitor intelligence and can commit to annual billing at roughly $4,788/year. Semrush AI Toolkit is the best fit for teams already inside the Semrush ecosystem. Viali is the best fit for teams that need six-engine coverage at a flat rate plus content remediation. Ahrefs AI Visibility (inferred) is the best fit for existing Ahrefs subscribers. Peekaboo AI Visibility is the best fit for teams that want no per-seat pricing and configurable prompt volume. DeepSmith is the best fit for teams that want visibility tracking and content production in one workspace. rank.ai Agent Analytics offers the lowest published entry price for daily multi-engine tracking but carries the widest fit-rating spread in the set. Frase AI Tracking is the best fit for content teams that want monitoring and remediation together.