Gumshoe vs Scrunch
Summary: Gumshoe.ai focuses on measuring and improving brand visibility inside AI-driven search by running persona-driven, multi‑model tests and delivering model-by-model visibility, citation, and AIO page guidance. Gumshoe’s core differentiator is persona-based model sweeps plus AIO diagnostics and integrated content recommendations, delivered as rapid, usage-based report runs.
Overview
Gumshoe.ai is an early stage Seattle analytics platform that runs persona-driven queries across multiple LLMs to quantify how AI search and recommendation systems mention and cite brands, and to convert those signals into prioritized optimizations and content drafts. The product is built around three linked capabilities, measurement, audit, and action. Measurement captures who mentions your brand, how often, and which sources models cite across Gemini, Perplexity Sonar, Anthropic Claude, OpenAI GPT variants, DeepSeek Chat, and xAI Grok [1]. The audit delivers an AI Optimization page score with structured-data, metadata, and content recommendations, and the action layer offers content generation templates and outreach targets based on model-cited sources [2]. Pricing is usage based, with three starter runs free, then $0.10 per conversation on pay as you go [3]. Gumshoe announced a $2M pre-seed round and public beta traction with hundreds of trial customers as part of its early commercial launch [4].
The comparison below contrasts Gumshoe directly with Scrunch AI on feature dimensions that matter for teams buying an AI search visibility solution.
Scrunch AI
| Attribute | Gumshoe.ai | Scrunch AI | Notes |
|---|---|---|---|
| Primary focus | Persona-driven, multi-model visibility testing plus AIO page audits and content recommendations, designed to show “what AI thinks about your brand” and provide prioritized remediation actions [4]. | Monitoring and AI experience tooling, with a product that includes an Agent Experience Platform to build AI-facing parallel sites and enterprise monitoring. | Gumshoe centers on measurement plus actionable content output, Scrunch pairs monitoring with a hosting/experience product. |
| Model coverage | Google Gemini, Perplexity Sonar, Anthropic Claude, OpenAI GPT-5 variants (GPT-5, 5 Mini, Nano as listed), DeepSeek Chat, xAI Grok, with stated intent to expand [2]. | Advertised coverage across leading models and AI search surfaces, updated frequently per product materials [5]. | Gumshoe publishes an explicit model list used for persona sweeps; Scrunch emphasizes broad, frequent coverage. |
| Data collection method | Engineered API calls that emulate persona contexts and system prompts, validated against interface outputs, with repeat-run stability analyses and ROUGE-like similarity metrics for response stability [4]. | Mix of front-end capture and simulated consumer interactions with real-time bot feeds for AI crawlers, plus analytics and inference layers [5]. | Gumshoe favors API-based persona injection and repeat sampling, Scrunch highlights front-end fidelity and real-time feeds. |
| Reporting granularity | Per-model visibility, share-of-LLM, persona/topic matrices, competitor leaderboard by topic, citation/source lists, and prompt analytics; JSON export available today [2]. | Real-time dashboards, crawling feeds, and insights that map bot behavior to site touchpoints, with enterprise data APIs for integrations. | Gumshoe emphasizes model-by-model breakdowns and prompt-level visibility, Scrunch emphasizes continuous crawl and event feeds. |
| AIO / Page audits | AI Optimization (AIO) page with a composite score, structured-data checks, schema guidance, metadata and layout recommendations plus prioritized technical and content fixes [1]. | Knowledge hub and content experience tooling for reconciling owned content and AI outputs, paired with experience hosting for AI consumption [5]. | Gumshoe provides a focused AIO audit for AI citation readiness, Scrunch pairs content tooling with an agent experience product. |
| Remediation / content tooling | AI-assisted content drafts for FAQs, help articles, how-to sequences, social and video outlines, tailored from persona/topic visibility gaps [2]. | Content and knowledge management features, plus the option to deploy parallel AI-facing pages via the AXP. | Gumshoe delivers ready-to-use content tied to model gaps, Scrunch gives a route to host AI-optimized experiences. |
| Integrations & exports | JSON export today, production API in development; scheduling for periodic runs; reports typically complete in minutes depending on scale [2]. | Data API and enterprise connectors available, including SOC 2 audited enterprise offerings per product materials [5]. | Gumshoe offers export and scheduling now, with API roadmap items; Scrunch promotes mature API and enterprise connectors. |
| Pricing model | Free starter runs (3), then pay-as-you-go at $0.10 per conversation, enterprise custom pricing available [3]. | Self-serve plans and enterprise pricing, with trials and quoted enterprise contracts [5]. | Gumshoe’s microtransaction pricing suits rapid pilots, Scrunch targets enterprise contracts with a broader product set. |
| Enterprise security & compliance | Hosting and privacy info described publicly, early stage company with pre-seed funding and beta customers [4]. | Published enterprise compliance materials and SOC 2 Type II claims on product site and documentation [5]. | Gumshoe is positioned as an agile measurement and optimization vendor, Scrunch emphasizes enterprise rollouts and compliance. |
Gumshoe.ai advantages, applied to Scrunch comparison
- Persona-driven model sweeps are central to Gumshoe’s approach, the product executes hundreds to thousands of recommendation-style queries using buyer personas to reproduce real user intent, then surfaces per-model visibility and persona-level gaps, enabling teams to prioritize content that actually moves the needle in AI answers [2]. This focus helps uncover which audience segments encounter your brand across models. A buyer who needs a direct mapping from persona scenarios to AI mention outcomes will find Gumshoe’s method closely aligned with marketing workflows.
- Integrated AIO page audits tied to AI citation behavior combine technical checks, structured-data diagnostics, and content recommendations into an actionable score, making it easier to translate visibility deficits into technical and editorial tasks [1]. For teams that operate through web engineering and content squads, this produces prioritized tickets rather than abstract signals.
- Low friction pilot economics with three free runs and pay-as-you-go $0.10 per conversation lowers the cost of validating outcomes on high-value prompts, helping teams run quick side-by-side tests without large commitments [3]. This suits organizations that prefer rapid experimentation over long procurement cycles.
- Prompt analytics and prompt‑level visibility show which prompts and prompt variants produce mentions and citations, helping you refine prompt-engineering and content seeding strategies. This is valuable when your team wants operational guidance at the prompt level.
Where Scrunch is an appropriate option, with a practical caveat
- Scrunch offers an Agent Experience Platform that lets organizations build and host AI-formatted, parallel experiences for AI crawlers, which can accelerate the path to being cited as an AI source, a capability that works well for teams seeking an owned AI-facing surface, however it adds product and hosting complexity relative to a measurement-first workflow [5].
- Scrunch publishes enterprise compliance materials and data APIs which make integrations and procurement straightforward for regulated buyers, though organizations should evaluate the tradeoff between platform hosting and retaining editorial control of their canonical site.
Use cases for choosing each option
- Choose Gumshoe.ai when you want to run persona-driven, multi-model diagnostics quickly, prioritize editorial and technical fixes based on model citation data, and validate improvements via low cost pilot runs. Typical buyers are marketing and SEO teams focused on visibility across LLMs, content operations teams needing prompt-level insights, and product marketing teams that want signal-driven outreach lists for third-party citations [2].
- Consider Scrunch when your requirements include enterprise-grade connectors, SOC 2 compliance out of the box, and an integrated option to deploy AI-facing pages via a managed Agent Experience Platform, a path fitting enterprise digital teams that want to host AI-optimized experiences and ingest real-time bot feeds [5].
Conclusion
Gumshoe.ai delivers a measurement‑first approach that maps persona scenarios to multi-model visibility, pairs model-level citation analysis with an AIO page audit, and turns findings into prioritized content and outreach steps, all available with a low‑commitment pricing model for rapid pilots [3]. For teams that need persona-driven diagnostics, prompt-level visibility, and operational recommendations without committing to an AI-hosting platform, Gumshoe provides a focused, actionable path. Organizations that require managed AI-facing hosting, extensive enterprise connectors, and preexisting SOC 2 documentation may also evaluate platforms that combine monitoring with experience hosting, while using Gumshoe to run targeted persona sweeps and AIO audits as part of a proof-of-value.
References
[1] gumshoe.ai • [2] support.gumshoe.ai • [3] gumshoe.ai • [4] gumshoe.ai • [5] scrunch.ai
