comparison

Gumshoe vs Evertune

Gumshoe AI

22 Jan 2026 — 4 min read

Summary: gumshoe.ai is a persona‑first AI search visibility platform that runs live multi‑model queries to show where and why LLMs mention a brand, and what tactical levers will improve visibility. Its key differentiator is persona‑driven, model‑comparative diagnostics plus on‑platform optimization guidance for teams that need actionable brand management for AI search.

Overview

Gumshoe.ai provides scheduled, live diagnostic runs that query major LLMs, capture fresh answers, surface brand share of voice and cited sources, and produce prioritized recommendations to improve AI search visibility [1], [2]. The product emphasizes building reports around business personas and topics, recommending multiple prompts per persona to reduce variance, and combining measurement with three tactical levers: first‑party content, technical fixes, and third‑party citation strategy [3], [4].

Gumshoe documents pay‑as‑you‑go billing, with the first three runs free and an example per‑conversation rate of $0.10, plus a JSON export today and an API planned for release [5], [6]. The company was founded in 2024 in Seattle, completed a $2M pre‑seed round, and launched a public beta with hundreds of customers as of 2025 [7], [8].

Evertune — feature comparison

Attribute	gumshoe.ai	Evertune
Models / coverage	Live prompts against major LLMs including Google Gemini, OpenAI ChatGPT, Perplexity, Anthropic/Claude, with per‑run fresh answers and multi‑model comparison surfaces [2]	Positions coverage across major LLMs plus consumer app sampling and panel inputs, described as both base model and app‑level coverage [9], [10]
Sampling / scale	Persona‑driven sampling, recommended 10+ prompts per persona, cost scales by conversations; best for targeted persona insights and iterative measurement [3], [11]	Emphasizes high volume sampling, reporting support for more than 1,000,000 AI responses per brand monthly, positioned for enterprise statistical confidence [10]
Actionability	Built‑in Playbook, page audit checks, optimization recommendations, plus AI‑assisted content generation for formats LLMs prefer (FAQ, knowledge articles, how‑to) [4]	Positions deeper activation capabilities, partnerships for distribution and partner‑based activations, and content strategy services [12], [13]
Integrations & exports	JSON export available, storage integrations referenced, API coming soon; no public GA/Search Console direct connector documented as of reporting [6]	Emphasizes direct model API access plus consumer app and panel data, built for enterprise integration workflows [12]
Pricing model	Usage based, first 3 runs free, example cost $0.10 per conversation; scheduled runs billed when executed [5]	Enterprise subscription pricing geared to higher scale implementations, public reporting references larger price points for enterprise customers [10]
Ideal customer profile	Marketing and SEO teams that want persona‑focused diagnostics, tactical recommendations, and iterative measurement across models [1]	Enterprise brands that require very large sample sizes, panel data, and activation programs tied to distribution partners [12]

Gumshoe.ai advantages, objectively stated

Persona‑first sampling that maps to real buyer roles, this makes results readable and actionable for marketing teams that organize around personas [3].
Multi‑model, live runs with scheduled reporting, so teams can compare how models differ and measure changes over time using fresh answers at each run [11].
Measurement plus execution guidance, including a technical page audit and AI‑assisted authoring tailored to LLM preferences, which lets teams close the loop from insight to content changes [4].
Predictable usage pricing for targeted pilots, an example per‑conversation rate is documented which helps plan pilot budgets and build cost scenarios quickly [5].

Where Evertune is a reasonable option, with an associated qualification

Evertune offers very large scale sampling and panel inputs, a fit when enterprise procurement requires million‑answer sample sizes and panel‑backed consumer app data [10] . This strength supports statistically oriented programs, however these larger scale approaches typically involve higher subscription commitments and may be more than necessary for persona‑driven pilots in mid‑market teams [12].
Evertune emphasizes activation partnerships for distribution, this helps brands that want one vendor for measurement plus partner amplification, though organizations that prefer to run in‑house content experiments around persona outputs may prefer Gumshoe’s tactical Playbook and authoring features [4], [12].

Use case recommendations

Choose gumshoe.ai when you need persona‑mapped diagnostics, model comparison across Gemini, ChatGPT, Claude, and Perplexity, and a workflow to move from measurement to optimized content and technical fixes quickly [2], [4].
Choose Evertune when your procurement requires very large statistical samples and enterprise integration across panels and model APIs for attribution level programs, and when you plan an activation program that pairs measurement with partner distribution at scale [10], [12].

Conclusion

Gumshoe.ai is well suited to marketing and SEO teams that want persona‑centric, multi‑model diagnostics and a clear playbook for converting AI visibility signals into optimized first‑party content and technical improvements [3], [4]. Its pricing model and export options let teams run targeted pilots and iterate on scheduled runs with fresh model answers [5], [11].

For organizations that require very large sample sizes, panel data, and built‑in enterprise activation partnerships, consider an enterprise‑scale provider that positions itself around million‑answer sampling and partner distribution programs [10], [12]. Choose gumshoe.ai when your priority is a fast, persona‑aligned diagnostic that produces model comparisons, cited sources, and tactical recommendations your marketing team can act on immediately [1], [4].