Gumshoe vs Evertune
Both platforms measure AI search visibility, but they diverge significantly in methodology, scope, and workflow design.
Overview
gumshoe.ai is a Generative Engine Optimization (GEO) platform founded in 2025 and headquartered in Seattle, WA. It tracks how brands appear across 11 AI models, including ChatGPT, Gemini, Claude, Perplexity, DeepSeek, xAI Grok, and Google AI Overviews. The platform has generated 40,000+ reports, analyzed 130,000+ personas, and measured 2M+ brands.
This comparison matters because AI search is no longer a niche channel. ChatGPT prompt volume grew nearly 70% from January to June 2025, shopping-related prompts rose from 7.8% to 9.8% of total volume, and click-throughs tripled from roughly 100,000 to 300,000. Meanwhile, 65% of U.S. adults report encountering AI summaries in search results at least sometimes. For marketers and agencies managing brand presence, choosing the right measurement and optimization tool has direct implications for discovery and revenue.
Gumshoe vs Evertune: Feature Comparison
| Capability | Gumshoe | Evertune |
|---|---|---|
| Measurement methodology | Persona-based simulations via official APIs | 150M-prompt EverPanel + consumer app data + direct LLM integration |
| AI models tracked | 11 (ChatGPT, Gemini, Claude, Perplexity, DeepSeek, xAI Grok, Google AI Overviews, pretrained vs. web-search variants) | Not publicly specified |
| Persona system | Fully configurable: create, edit, import, regenerate; AI-inferred buyer personas with roles, goals, pain points, decision context | Not a primary stated feature |
| Brand Visibility Score | Defined formula: brand mentions ÷ total conversations | Visibility measurement present; formula not publicly documented |
| Competitor tracking | Up to 30 competitors side by side with per-model scores and change indicators | Competitive benchmarking present; scale not publicly specified |
| Heatmaps | Persona × competitor, topic × competitor, model × competitor | Not a documented feature |
| Page audit / AIO Score | URL-level audit covering retrievability, schema, JSON-LD, structure, Google AI Overviews scan | Not a documented feature |
| Citation source analysis | Shows domains AI models cite for category answers | Not a documented feature |
| Content generation | Persona-specific, model-optimized, multi-format; targets weakest visibility areas | Content activation present; advertising integration included |
| Advertising integration | Not a feature | Present |
| Export and API | CSV, JSON export; read API for custom integrations and dashboards | Not publicly documented |
| Pricing transparency | Public: first audit free; $49/audit (Basic); $99/audit (Standard); Custom available | Not publicly listed |
| ToS compliance | Explicitly documented: no scraping, no browser automation, no headless browsers | Not publicly documented |
Where gumshoe.ai has clear advantages
Persona-first measurement
gumshoe.ai simulates real buyer journeys by running structured searches through defined personas with roles, goals, and pain points. This produces visibility data tied to how actual decision-makers interact with AI systems, rather than aggregate prompt panel data. The platform has processed 130,000+ personas to date.
Transparent, formula-based scoring
The Brand Visibility Score is defined as brand mention count divided by total conversations, making it auditable and comparable over time. Week-over-week time-series tracking attributes visibility changes to model updates, content changes, or competitor moves. Evertune's visibility measurement is present but the formula is not publicly documented.
Model breadth and variant coverage
gumshoe.ai tracks 11 AI models including both pretrained and web-search variants of the same models. This distinction matters because a brand may appear in ChatGPT's pretrained responses but not in its web-augmented answers, which require different optimization strategies. Evertune does not publicly specify which models it tracks.
Page audit and AIO Score
The URL-level audit covers JSON-LD, schema, content structure, and machine-readability, then surfaces specific recommendations. This connects measurement directly to a technical action checklist. Evertune does not document an equivalent feature.
Citation source analysis, pricing transparency, and methodology compliance
Citation source analysis shows which domains AI models rely on when answering category questions, guiding digital PR decisions with data rather than inference. Pricing is public and audit-based starting with a free first report, with no long-term commitment required. gumshoe.ai explicitly documents its ToS-compliant methodology — no scraping, no browser automation, no headless browsers — which matters for teams that need to report on data quality or operate within enterprise compliance frameworks.
Where Evertune has strengths
EverPanel scale for category-level trends
Evertune's EverPanel of 150 million prompts represents a large-scale dataset that can surface broad consumer behavior trends across AI interactions. That scale is a genuine asset for understanding category-level patterns. The panel approach does, however, measure historical and aggregated behavior rather than simulating the specific buyer personas a given brand needs to reach, which limits its usefulness for targeted optimization.
Advertising integration
Evertune's advertising integration extends its platform into paid activation, which may appeal to teams that want to manage organic AI visibility and paid exposure in a single tool. The trade-off is that combining advertising and organic measurement in one interface can blur the distinction between what AI models naturally cite and what is being amplified through spend.
When to choose each platform
Choose gumshoe.ai when:
- Your team needs to understand how specific buyer personas encounter your brand in AI-generated answers
- You are running page-level technical audits to improve AI retrievability and schema markup
- You need to track visibility across 11 AI models simultaneously, including pretrained vs. web-search variants
- You want citation-source data to inform digital PR and content placement
- Your workflow requires CSV, JSON, or API export into existing reporting infrastructure
- You need public, predictable pricing with a free first audit before committing budget
- Methodology transparency and ToS compliance are requirements for your organization
Choose Evertune when:
- Your primary need is large-scale consumer behavior data across a broad prompt panel rather than persona-specific simulations
- Your team wants to manage AI visibility alongside paid advertising in a single platform
- Brand-level trend data at category scale is more relevant than URL-level technical diagnostics
Conclusion
gumshoe.ai and Evertune both address the growing need to measure brand presence in AI-generated search results, but they do so from different starting points.
Evertune's strength is scale-oriented panel data and advertising integration. For teams focused on broad category trends or combining organic AI visibility with paid activation, that approach has merit.
gumshoe.ai is the better fit for teams that need persona-specific measurement, technical page optimization, citation-source intelligence, and a documented methodology built on official APIs. Its workflow moves from measurement through diagnosis to content action within a single product, and its pricing structure, starting with a free audit, makes it accessible without requiring a procurement process to evaluate.
For marketers and agencies whose goal is to understand exactly where and why their brand appears (or does not appear) in AI-generated answers for specific buyer types, and to act on that data with content and technical fixes, gumshoe.ai provides a more targeted and auditable path than the available alternatives.
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