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Gumshoe AI vs OtterlyAI (2026): Which AI search monitoring tool is right for you?

Head-to-head comparison of Gumshoe AI and OtterlyAI for tracking brand mentions in ChatGPT, Perplexity, and AI search. Compare pricing, features, platform coverage, and find out which tool fits your needs in 2026.

Key Takeaways

  • Pricing model: Gumshoe AI uses pure pay-per-report ($0.10/conversation) with no monthly commitment, while OtterlyAI charges monthly subscriptions starting at $29/mo for 15 prompts
  • Platform coverage: OtterlyAI monitors 6 AI platforms (ChatGPT, Perplexity, Google AI Overviews, AI Mode, Gemini, Copilot) vs Gumshoe's 3 (ChatGPT, Perplexity, Gemini)
  • Feature depth: OtterlyAI includes GEO audits and AI keyword research tools; Gumshoe focuses purely on monitoring with AI-assisted content generation
  • Best for agencies/consultants: Gumshoe's pay-per-report model works better for project-based work where you're not monitoring continuously
  • Best for in-house teams: OtterlyAI's subscription model and broader platform coverage make more sense if you're tracking visibility daily
  • User base: OtterlyAI claims 20,000+ marketers; Gumshoe is newer and smaller but offers more flexible pricing for testing

Overview

Gumshoe AI

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Gumshoe AI

Track your brand mentions across ChatGPT, Gemini, and Perplexity
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Gumshoe AI launched as a straightforward AI search monitoring tool with a twist: you only pay when you actually run reports. The platform tracks brand mentions across ChatGPT, Gemini, and Perplexity, with persona-based tracking that lets you see how different buyer types encounter your brand. The pay-per-conversation model ($0.10 per report) means you're not locked into monthly fees -- useful if you're running quarterly audits or client projects rather than daily monitoring.

The interface focuses on visibility metrics: how often your brand appears, competitive ranking, which topics trigger mentions, and what sources AI models cite. You get 3 free report runs to test it out, then pay only for what you use.

OtterlyAI

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OtterlyAI

Track your brand visibility across ChatGPT, Perplexity, and AI Overviews
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OtterlyAI positions itself as the comprehensive AI search monitoring platform, tracking 6 major AI engines including Google AI Overviews and Copilot alongside the usual suspects. The platform launched in October 2024 and claims 20,000+ marketers using it. Beyond basic monitoring, OtterlyAI includes GEO audit tools that analyze 25+ on-page factors and AI keyword research to identify conversational search prompts.

Pricing starts at $29/mo for the Lite plan (15 prompts), jumping to $189/mo for Standard (100 prompts). The subscription model assumes you're monitoring continuously rather than running occasional spot checks.

Side-by-Side Comparison

FeatureGumshoe AIOtterlyAI
Pricing modelPay-per-report ($0.10/conversation)Monthly subscription ($29-$189+/mo)
Free tier3 report runsFree trial available
AI platforms monitored3 (ChatGPT, Gemini, Perplexity)6 (ChatGPT, Gemini, Perplexity, AI Overviews, AI Mode, Copilot)
Persona tracking✓ YesNot specified
Competitive benchmarking✓ Yes✓ Yes
GEO audits✗ No✓ Yes (25+ factors)
AI keyword research✗ No✓ Yes
Content generationAI-assistedNot mentioned
Scheduled reports✓ Yes (paid)✓ Yes
Storage integrations✓ YesNot specified
API accessEnterprise onlyNot specified
Best forProject-based monitoring, agenciesContinuous monitoring, in-house teams

Platform coverage

OtterlyAI wins on breadth. Six AI platforms vs three means you're getting visibility into Google AI Overviews (which shows up in regular Google search) and Microsoft Copilot (integrated into Windows and Office). If your audience uses those tools, the extra coverage matters.

Gumshoe covers the core three -- ChatGPT, Perplexity, and Gemini -- which handle the majority of standalone AI search queries. For many brands, especially B2B or tech-focused companies, these three platforms represent 80%+ of AI search volume. The question is whether you need the other 20%.

Verdict: OtterlyAI for comprehensive coverage, Gumshoe if you're primarily concerned with the big three standalone AI search tools.

Pricing and cost structure

This is where the tools diverge sharply.

Gumshoe AI charges $0.10 per conversation/report run. If you're tracking 50 prompts once per month, that's $5. Tracking 200 prompts quarterly costs $20 per quarter. The math works in your favor if you're not monitoring daily or if you're running client audits where you bill per project.

OtterlyAI charges monthly. The Lite plan at $29/mo gives you 15 prompts -- that's $1.93 per prompt per month if you use all 15. Standard at $189/mo for 100 prompts works out to $1.89 per prompt. You're paying whether you run reports or not.

Break-even analysis: If you're monitoring 15 prompts monthly with Gumshoe, that's $1.50/month. With OtterlyAI Lite at $29/mo, you'd need to value the extra features (GEO audits, keyword research, broader platform coverage) at $27.50/month to justify the difference.

For 100 prompts monthly: Gumshoe costs $10/month, OtterlyAI Standard costs $189/month. The gap is massive unless you're running reports multiple times per month or heavily using the audit and research tools.

Verdict: Gumshoe for occasional monitoring or project work. OtterlyAI if you're tracking daily and using the full feature set.

Monitoring and reporting features

Both tools cover the basics: brand mentions, competitive ranking, topic visibility, cited sources. Gumshoe emphasizes persona-based tracking -- you can see how different buyer types (e.g., technical evaluator vs budget holder) encounter your brand differently across AI platforms. This is useful for B2B companies where purchase decisions involve multiple stakeholders.

OtterlyAI focuses on Share of Voice metrics and citation tracking. The interface shows which brands get recommended most often and which websites get cited. The scheduled reports feature is standard on paid plans for both tools.

Gumshoe includes AI-assisted content generation tied to your monitoring data -- it suggests content based on gaps it identifies. OtterlyAI doesn't mention content generation but includes optimization recommendations.

Verdict: Gumshoe for persona-specific insights and content suggestions. OtterlyAI for straightforward Share of Voice tracking.

GEO audits and optimization

OtterlyAI's GEO audit tool analyzes 25+ on-page factors to identify what's preventing your site from earning AI citations. This is a diagnostic tool -- it tells you what's wrong (missing structured data, thin content, poor entity associations) but doesn't fix it for you.

Gumshoe doesn't include audits. You get monitoring data and content recommendations, but no systematic analysis of why your pages aren't getting cited.

If you're trying to understand why you're invisible in AI search, OtterlyAI's audit gives you a starting point. If you already know your content needs work and just want to track progress, the audit is less critical.

Verdict: OtterlyAI if you need diagnostic help. Gumshoe if you're past the diagnosis phase.

AI keyword research

OtterlyAI includes a keyword research tool that surfaces conversational prompts people are actually using on ChatGPT, Perplexity, and Google. This helps you identify content gaps -- topics your audience is asking about that you haven't covered.

Gumshoe doesn't have a separate keyword research module. You see which topics trigger mentions of your brand or competitors, but you're not discovering net-new prompts outside your existing tracking set.

For content planning, OtterlyAI's keyword research is a real advantage. You can build your content calendar around actual AI search queries instead of guessing.

Verdict: OtterlyAI for proactive content discovery. Gumshoe for reactive monitoring of known topics.

Ease of use and setup

Both tools are straightforward. You define your brand, add competitors, specify topics or prompts you care about, and let the platform run reports.

Gumshoe's pay-per-report model means you're more deliberate about what you track -- you're not going to casually add 50 prompts if each one costs money. This forces prioritization, which can be good or bad depending on your workflow.

OtterlyAI's subscription model encourages broader tracking since you've already paid for the prompt quota. You're more likely to experiment with different topics.

Neither tool requires technical setup beyond connecting storage integrations if you want automated exports.

Verdict: Tie. Both are accessible for non-technical marketers.

Integration and workflow

Gumshoe mentions storage integrations (likely Google Drive, Dropbox, etc.) for exporting reports. Enterprise plans include API access for custom integrations.

OtterlyAI doesn't specify integrations on their public site, though the scheduled reports feature implies some level of export capability.

Neither tool appears to integrate directly with SEO platforms like Semrush or Ahrefs, or with content management systems. You're working with standalone dashboards and exported data.

For teams that want AI search monitoring as part of a broader visibility stack, tools like Promptwatch offer tighter integration with content optimization workflows -- worth considering if you're building a complete AI visibility program rather than just monitoring.

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Promptwatch

Track and optimize your brand visibility in AI search engines
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Verdict: Both are standalone tools. Integrations are limited on both sides.

Pricing comparison

PlanGumshoe AIOtterlyAI
Free tier3 report runsFree trial (unspecified limits)
Entry plan$0.10/conversation (pay as you go)$29/mo - Lite (15 prompts)
Mid-tier$0.10/conversation (volume discounts at enterprise level)$189/mo - Standard (100 prompts)
EnterpriseCustom pricingPremium tier (custom pricing)
Cost for 50 prompts/month~$5/monthBetween Lite and Standard tiers
Cost for 100 prompts/month~$10/month$189/month
Annual discountNot specifiedNot specified

The pricing structures are incompatible for direct comparison. Gumshoe is radically cheaper if you're monitoring infrequently. OtterlyAI's value proposition depends entirely on whether you use the GEO audits, keyword research, and broader platform coverage enough to justify the 10-20x price difference.

Pros and cons

Gumshoe AI pros

  • Pay only for what you use -- no wasted spend on unused monthly quotas
  • Persona-based tracking for B2B companies with complex buyer journeys
  • AI-assisted content generation tied to monitoring insights
  • Extremely low cost for project-based or quarterly monitoring
  • Storage integrations for automated exports

Gumshoe AI cons

  • Only 3 AI platforms (missing Google AI Overviews, Copilot, AI Mode)
  • No GEO audit tool to diagnose citation problems
  • No AI keyword research for discovering new prompts
  • Smaller user base and newer platform (less proven at scale)
  • Pay-per-report model can add up if you're monitoring hundreds of prompts frequently

OtterlyAI pros

  • Monitors 6 AI platforms including Google AI Overviews and Copilot
  • GEO audit tool analyzes 25+ on-page factors
  • AI keyword research surfaces conversational prompts
  • 20,000+ user base suggests product-market fit
  • Subscription model makes sense for continuous monitoring

OtterlyAI cons

  • Monthly subscription costs 10-20x more than Gumshoe for equivalent prompt volume
  • Lite plan's 15-prompt limit is restrictive for most brands
  • No content generation features
  • Pricing jumps sharply from Lite ($29) to Standard ($189)
  • Less flexible for agencies running client audits sporadically

Who should pick which tool

Choose Gumshoe AI if you:

  • Run quarterly or project-based AI visibility audits rather than continuous monitoring
  • Work at an agency managing multiple clients with different monitoring needs
  • Want to test AI search monitoring without committing to monthly fees
  • Care primarily about ChatGPT, Perplexity, and Gemini (the core standalone AI search platforms)
  • Need persona-based tracking for complex B2B buyer journeys
  • Have a limited budget and want to start small

Choose OtterlyAI if you:

  • Monitor AI search visibility daily or weekly as part of ongoing SEO/content work
  • Need coverage of Google AI Overviews and Microsoft Copilot in addition to standalone AI search
  • Want GEO audit tools to diagnose why your pages aren't getting cited
  • Use AI keyword research to inform content planning
  • Have budget for $189+/month and track 100+ prompts regularly
  • Work in-house at a brand with continuous monitoring needs

Consider alternatives if you:

  • Need end-to-end AI visibility optimization (monitoring + content gap analysis + content generation + crawler logs) -- platforms like Promptwatch handle the full loop
  • Want deeper competitive intelligence or Reddit/YouTube tracking alongside AI search monitoring
  • Need API access and custom integrations without paying enterprise pricing

Final verdict

Gumshoe AI and OtterlyAI solve the same core problem -- tracking brand visibility in AI search -- but for different use cases and budgets.

Gumshoe's pay-per-report model is a better fit for agencies, consultants, and brands that monitor sporadically. You're not paying for unused capacity, and the $0.10/conversation pricing makes it easy to test AI search monitoring without financial commitment. The trade-off is narrower platform coverage and no diagnostic tools.

OtterlyAI's subscription model works for in-house teams doing continuous monitoring. The GEO audits and keyword research justify the higher price if you're actively optimizing for AI search, not just passively tracking. But if you're only checking visibility once a month, you're paying for 30 days of access you don't use.

The pricing gap is the real story here. For 100 prompts per month, Gumshoe costs $10 and OtterlyAI costs $189. That's not a small difference -- it's a 19x multiplier. OtterlyAI needs to deliver 19x the value through its extra platforms, audits, and research tools. Whether it does depends entirely on how much you use those features.

For most brands just starting with AI search monitoring, Gumshoe's risk-free pricing makes it the obvious first step. For teams already committed to AI visibility as a strategic priority, OtterlyAI's feature set is worth the investment.

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