Gumshoe AI Review (2026): Pricing, Features, and Who It's Actually Built For
An honest review of Gumshoe AI covering its persona-first methodology, pay-as-you-go pricing, 11-model coverage, and the gaps that will frustrate agencies. Includes a direct comparison to AI Peekaboo.
Filipe Lins Duarte
|April 3, 2026|Updated April 6, 2026|13 min read|Tool Reviews
Gumshoe AI does something most AI visibility tools don't: instead of tracking generic keyword mentions, it builds realistic buyer personas and runs AI conversations through those personas to show how your brand appears to actual people. That's a meaningful conceptual leap, and the Seattle-based startup has attracted over 7,500 brands and agencies with it.
But interesting methodology doesn't automatically make a tool the right fit. Gumshoe's pay-as-you-go pricing is genuinely disruptive at low volumes, but it scales unpredictably for agencies running high-frequency monitoring. The platform has no sentiment tracking, no GA4 integration, and API access is locked behind custom Enterprise contracts.
This review breaks down the pricing, the features that actually matter, the gaps that will frustrate certain buyers, and a direct comparison against AI Peekaboo. If you're already evaluating options, our best alternatives to Gumshoe article covers the competitive landscape in more depth.
Quick Reference
AI models tracked: 11 (ChatGPT, Gemini, Claude, Perplexity, Grok, DeepSeek, Google AIO, Google AI Mode, and more)
Founded: 2025, Seattle — Patrick O'Donnell (Urbanspoon, MightyAI)
Funding: $2M pre-seed (May 2025)
Free (3 report runs), then $0.10/conversation
See where you appear insearch.See where you appear in search.
Best for: B2B brands, agencies doing project-based audits, GEO consultants
What Is Gumshoe AI?
Gumshoe AI is an AI search visibility platform built around one core question: not just whether you're mentioned in AI answers, but how AI talks about you to specific types of buyers. The platform was founded by Patrick O'Donnell, who previously built Urbanspoon (acquired by IAC) and MightyAI (acquired by Uber), and raised a $2M pre-seed round in May 2025.
The product launched into a crowded space with a differentiated angle: instead of scraping AI outputs from anonymous browser sessions, Gumshoe runs every conversation as a real buyer persona. You get visibility data filtered through the lens of the people who actually make purchasing decisions in your market.
Since launch, the platform claims 7,500+ brands and agencies, 40,000+ reports generated, and 2 million+ brands measured.
Gumshoe AI Features
Persona-First Visibility Analysis
This is the feature that separates Gumshoe from most monitoring tools. When you create a report, Gumshoe doesn't just track branded keywords. It generates realistic buyer personas based on your market, then runs AI conversations as those personas across 11 models. You see visibility scores segmented by persona type.
A sporting goods brand, for example, might find it appears in 53% of conversations from "Hybrid Schedule Professionals" but only 38% for "Mindful Parent Athletes." That split is useful. It tells you where your content resonates and which audience segments are underserved in AI answers. No other tool in this category does persona segmentation at this level of depth.
Brand Leaderboard and Competitive Rank
Gumshoe shows your share of AI mentions relative to up to 30 competitors, with breakdowns per AI model. If you rank first on Gemini but sit at 10% visibility on Claude, you know exactly where to focus content and digital PR. Competitor visibility scores update with each report run, giving you trend data over time.
Model Visibility Breakdown
Not all AI models treat your brand equally. Gumshoe quantifies this model by model. In independent tests of the platform, brands have found gaps as large as 36 percentage points between their best-performing and worst-performing AI models. That kind of disparity shapes where you invest in structured data improvements, content placement, and third-party publication.
The current coverage spans 11 models: ChatGPT (multiple versions), Gemini, Claude, Perplexity, Grok, DeepSeek, Google AI Overviews, and Google AI Mode. One notable gap: Microsoft Copilot isn't on the list, which matters if your audience skews toward enterprise B2B.
Topic and Competitive Heatmaps
The heatmap view cross-references personas, topics, and competitors in one view. You can see which persona-topic combinations you own and where competitors dominate. For agencies, this is strong client presentation material. For in-house teams, it prioritises the content gaps worth addressing first.
Citation Source Analysis
Gumshoe shows which specific domains AI models cite when answering questions in your category, not just your own mentions. If YouTube, a major industry blog, and three Reddit threads are driving AI citations for your competitors, your digital PR target list just wrote itself. This turns source tracking into a practical outreach strategy, not just a monitoring metric.
Page Audit and AIO Score
The page audit feature analyses URLs for AI-friendliness and outputs an AIO (AI Optimization) score. Each audit flags specific issues: JSON-LD markup gaps, schema improvements, content structure changes that help AI models interpret your pages correctly. It's still in beta but already more prescriptive than most competitors' audit features.
AI Content Generation
Gumshoe includes a content generation layer tied to visibility gaps. If your persona analysis shows you're invisible to "Tech-Forward Adopters" on a specific topic, the platform can help generate model-influencing content to address that gap. The feature is a useful addition for teams that want to move from diagnostics to action inside one tool.
Data Quality and Methodology
Gumshoe uses dual validation: API-first connections with native interface testing on top. Every conversation runs fresh, with no cookies, browser history, or account data, so the results reflect actual model behaviour rather than a personalised session. Full conversation transcripts are available, so you can verify any finding directly. That level of transparency is rare in this category.
Gumshoe AI Pricing
Gumshoe breaks completely from the monthly subscription model most competitors use. Instead, it charges $0.10 per conversation, with three report runs included free.
Free — $0: First 3 report runs included. Baseline visibility, persona insights, model breakdown. No credit card required.
Pay As You Go — $0.10/conversation: Everything in Free, plus scheduled reports, trend tracking, and optimization recommendations. Build unlimited reports for free, pay only when you run them.
Enterprise — Custom: Volume discounts, dedicated account manager, API access, and custom integrations.
The math on what this costs in practice depends on how many conversations your reports contain. A report covering 70 prompts across multiple AI models can generate 700+ conversations. At $0.10 each, a single weekly report run for one brand costs around $70. Run it daily and you're at $2,100/month. Run reports for five clients weekly and you're at $350/month, with daily monitoring pushing toward $10,000/month.
Gumshoe's own marketing acknowledges this: weekly monitoring across a small prompt set lands around $60 to $224 per month. Daily, comprehensive monitoring for a single brand runs $450 to $1,680 per month. For agencies managing multiple brands on retainer with frequent cadence, the unpredictability is a real operational problem.
The API is Enterprise-only. If you want to pipe Gumshoe data into your own dashboards or client reporting stack, you're in a custom contract conversation before you can even evaluate it.
Pros and Cons
Pros:
Persona-first methodology that shows how AI talks to specific buyer types, not just whether you're mentioned generically
Best-in-class AI model coverage at 11 models, more than any direct competitor in this category
Transparent dual-validation methodology with full conversation transcripts you can verify yourself
Pay-as-you-go pricing makes one-off audits and client pitches genuinely affordable
Citation source analysis turns third-party domain tracking into an actionable PR and link-building strategy
Competitive heatmaps that cross-reference personas, topics, and competitors in one view
No annual contract required, which reduces the commitment barrier compared to subscription tools
3 free report runs to test with real data before paying anything
Cons:
No sentiment tracking: Gumshoe tells you whether you're mentioned but not whether the AI is recommending, criticising, or dismissing your brand. You have to read conversation transcripts manually to assess tone.
No GA4 or traffic attribution: There's no integration to connect AI mentions to actual site visits or leads. You can't see which AI engine is driving referral traffic.
Costs scale unpredictably: Daily comprehensive monitoring for a single brand can reach $1,680/month. For agencies running multiple clients at daily cadence, there's no budget ceiling.
API is Enterprise-only: Any custom integration or data export for client dashboards requires a custom contract. Standard plans get CSV and JSON exports only.
No Microsoft Copilot coverage: A gap for B2B teams where Copilot is embedded in enterprise workflows.
No white-label reporting: There's no branded reporting layer for agencies presenting to clients under their own identity.
Content generation is early-stage: The AI content feature is included but isn't the primary reason to buy the tool. It's a useful addition, not a reason to choose Gumshoe.
What Users Are Saying
Gumshoe's customer quotes skew toward agencies and growth teams who use it to build GEO service lines. Kris Gosser, CMO at Shipium, cited a 557% increase in AI citations of their domain content within four months after acting on Gumshoe's recommendations. Rachael Bly from Hawke Media highlighted the heatmaps as the strongest tool for communicating AI visibility gaps to sceptical clients.
Third-party reviews from SEO practitioners echo this. One 25-year SEO veteran called Gumshoe "a brilliant, surgical tool for specific, tactical jobs" but noted it functions as a precision scalpel rather than a Swiss Army knife for ongoing client management. The recurring observation across independent tests: the persona analysis is genuinely strategic, the citation source data is highly actionable, but the pay-per-use model creates budget unpredictability that subscription-based agencies find difficult to manage.
The data quality angle gets consistent praise. Independent testers note that the dual-validation methodology and fresh-session testing approach produce more reliable data than tools that scrape from personalised browser sessions. When Gumshoe shows you a visibility number, it's more likely to reflect actual model behaviour than a cached, personalised result.
Some Alternatives to Gumshoe AI
If Gumshoe's pricing model or feature set doesn't line up with how your team works, these are the alternatives worth evaluating directly.
AI Peekaboo
AI Peekaboo tracks brand visibility across ChatGPT, Perplexity, Gemini, Google AIO, and Google AI Mode. The positioning is built specifically for agencies and teams that need predictable monthly pricing with white-label reporting included. Unlike Gumshoe, white-label client reports are available on all plans, not locked behind an enterprise tier. Unlimited team seats are also included across the board. For agencies managing multiple brand accounts and presenting results under their own brand, it's a more operationally predictable setup.
Scrunch AI
Scrunch AI covers up to 9 AI platforms on Enterprise and includes a GA4 integration that shows actual AI referral traffic broken down by engine, something Gumshoe doesn't offer. If connecting AI visibility to traffic attribution is a priority, Scrunch's GA4 connector is the strongest option in the market for that specific use case. The tradeoff: Scrunch starts at $250/month for brands and $500/month for agencies on the Core plan, with coverage capped at 4 platforms until you hit Enterprise.
Otterly AI
Otterly AI starts at $29/month for 15 prompts and includes a GEO audit feature that analyses 25+ on-page factors across thousands of URLs per month. For teams that want both monitoring and on-page optimisation guidance in one platform at a predictable monthly price, Otterly is closer in functionality to a subscription alternative to Gumshoe's project-based model. The prompt-based pricing still adds up at scale, but the ceiling is predictable in a way that Gumshoe's per-conversation billing isn't.
Gumshoe AI vs. AI Peekaboo
AI models covered — Gumshoe: 11 (ChatGPT, Gemini, Claude, Perplexity, Grok, DeepSeek, AIO, AI Mode +) | AI Peekaboo: ChatGPT, Perplexity, Gemini, Google AIO, Google AI Mode
Pricing model — Gumshoe: Pay-as-you-go ($0.10/conversation) | AI Peekaboo: Fixed monthly plans
Starting cost — Gumshoe: Free (3 runs), then usage-based | AI Peekaboo: From $49/month
White-label reports — Gumshoe: No | AI Peekaboo: Yes, all plans
Unlimited team seats — Gumshoe: Not stated | AI Peekaboo: Yes, all plans
GA4 integration — Gumshoe: No | AI Peekaboo: No
Sentiment analysis — Gumshoe: No | AI Peekaboo: No
API access — Gumshoe: Enterprise only | AI Peekaboo: No
Persona-based analysis — Gumshoe: Yes (core feature) | AI Peekaboo: No
Page/AIO audit — Gumshoe: Yes (beta) | AI Peekaboo: No
The clearest difference is the pricing model and what it's optimised for. Gumshoe's pay-as-you-go approach works well for one-off audits, competitive deep dives, and agencies doing project-based work where the billing can be scoped and passed through to the client. For ongoing retainer work where you need predictable monthly costs and a reporting layer that carries your agency brand, it's a more uncomfortable fit.
AI Peekaboo's monthly pricing means you know exactly what you're paying every month, regardless of how many reports you run. White-label is included from the lowest plan, so agencies don't need to negotiate it out of an enterprise tier. The trade-off is that Gumshoe's persona analysis is a more sophisticated way of understanding visibility, and the model coverage at 11 platforms beats AI Peekaboo's 5.
If you're running a GEO consultancy doing deep audits for clients at project rates, Gumshoe's methodology and model coverage are genuinely differentiated. If you're managing multiple brands on retainer with monthly reporting deliverables, the predictability of AI Peekaboo is worth more than the wider model coverage.
Is Gumshoe AI Worth It?
For specific use cases, yes. A one-off AI visibility audit for a new client pitch runs around $30 to $70 depending on report size. That's cheap enough to justify running before any GEO engagement. The persona-based analysis surfaces competitive insights that generic monitoring tools simply don't catch, and the citation source data gives digital PR teams a clear target list.
Where it breaks down is ongoing, multi-client agency work. Without a cap, without white-label, and without a GA4 integration to show clients the traffic impact of their AI mentions, Gumshoe is missing the operational layer that agencies need to productise their GEO offering.
If you're a B2B brand with niche buyer personas and a team willing to run strategic periodic reports rather than daily automated monitoring, Gumshoe is worth testing. The 3 free runs are enough to get real data. If you're building a recurring GEO service line for clients and need predictable billing and branded reports, check the alternatives first.
Full transparency: I am the Founder and CEO of AI Peekaboo, and we are included in this comparison. This review is based on published pricing, independent testing data, verified user testimonials, and third-party review sources. I have represented Gumshoe AI's strengths as accurately as its limitations, regardless of where that lands competitively.
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Filipe Lins Duarte
I'm Filipe, the CEO & Co-Founder of Peekaboo. I lead all commercial and customer facing functions here at the company. I am obsessed about making sure our customers are heard and have a great experience with us!
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