Gumshoe vs Scrunch AI
Both platforms address AI search visibility, but gumshoe.ai combines persona-driven measurement with a built-in action layer, while Scrunch pairs brand monitoring with edge-layer content delivery.
Overview
gumshoe.ai is an AI search visibility platform built to help brands understand, diagnose, and improve how they appear in AI-generated responses. Founded at Pioneer Square Labs in Seattle, the platform has generated 40,000+ reports, analyzed 130,000+ personas, and measured 2 million+ brands across 5,000+ users in 70+ countries.
This comparison matters because the way buyers discover brands has changed fundamentally. G2's research found that 51% of B2B software buyers now start research with an AI chatbot more often than Google, and 71% rely on AI chatbots at some point in their process. If your brand is not visible in those AI-generated answers, you are not in the consideration set.
Gumshoe vs Scrunch AI: Feature Comparison
| Capability | Gumshoe | Scrunch AI |
|---|---|---|
| Core workflow | Monitor, diagnose, and act on AI visibility data | Brand monitoring in LLMs, paired with AXP content delivery |
| Measurement method | Persona-driven API conversations (no scraping) | Brand mention tracking; can simulate consumer interactions via official APIs |
| AI models covered | 11 models (ChatGPT, Gemini, Claude, Perplexity, DeepSeek, Grok, Google AI Overviews, and more) | 4 LLMs on Core; 9 LLMs on Enterprise |
| Competitive analysis | Up to 30 competitors side by side; breakdowns by persona, topic, and model | 5 competitors on Core; custom on Enterprise |
| Content generation | Built-in, from visibility gaps (FAQs, how-to guides, social posts, video outlines, competitor comparisons) | Listed as coming soon / basic / advanced depending on plan tier |
| Page / AI readability audit | Page Audit with AIO scoring: schema, metadata, navigation, content balance, retrievability | Site audits and agent traffic monitoring via AXP |
| Citation-level source tracing | Exact URLs cited, prompts that triggered citations, co-mentioned brands | Not documented at this level of granularity |
| Visibility heatmaps | Persona × Topic, Persona × Competitor, Topic × Competitor, Model × Competitor | Not documented |
| Data export | JSON and CSV; API available to select users | Looker Studio, Query API, Advanced API, SSO (Enterprise tier) |
| Multi-language support | 16 languages | Not documented |
| Pricing model | First audit free; Basic $49/audit, Standard $99/audit; cancel anytime | Subscription-based; $250/month Core; 7-day trial; Enterprise custom |
Where gumshoe.ai has clear advantages
Persona-driven measurement at scale
gumshoe.ai's methodology runs structured buyer conversations through direct API connections to each model. A standard report uses 10 topics, 8 personas, and 10 models, producing 800 observations per run. This produces visibility data that reflects how real buyers with different roles, priorities, and contexts encounter your brand, rather than aggregated keyword or mention counts.
Model breadth on every plan
gumshoe.ai covers 11 models across all users, including Google AI Overviews, which reaches over 2.5 billion monthly active users. Scrunch's Core plan caps at 4 LLMs, which limits the picture for teams that need to understand performance across the full landscape of AI surfaces where buyers are active.
Competitive benchmarking depth
The gumshoe.ai Brand Leaderboard tracks up to 30 competitors side by side, with breakdowns by persona, topic, and model. Scrunch's Core plan limits competitive tracking to 5 competitors. For teams in competitive markets where understanding relative positioning across multiple rivals is a core use case, this gap is material.
An action layer built into measurement
gumshoe.ai turns visibility gaps directly into content drafts: FAQs, knowledge articles, how-to guides, social posts, video outlines, and competitor comparison content. These are generated using the same personas and topics that drove the measurement, so the content is targeted to the exact gaps the data surfaces. Scrunch lists content generation as coming soon or basic on non-Enterprise plans.
Citation-level source tracing
gumshoe.ai lets users click through to see exact URLs cited by each model, the specific prompts that triggered those citations, and which brands appeared in the same AI-generated responses. This level of granularity lets teams identify which content is already working in AI answers and which domains they need to earn citations from.
Accessible entry pricing
The first audit is free on every new account, with Basic plans at $49/audit and Standard at $99/audit — no subscription commitment required. Teams that want to evaluate the tool against real data before committing can do so at no cost, contrasting with Scrunch's $250/month Core plan.
Where Scrunch AI has strengths
Agent Experience Platform (AXP)
Scrunch's Agent Experience Platform is a genuinely different capability: it detects when AI agents are crawling your site and serves optimized content at the edge in real time. For organizations whose primary concern is how their existing web content is served to AI agents rather than how their brand appears in AI-generated answers, that edge-layer delivery mechanism addresses a specific technical need. The trade-off is that AXP operates at the infrastructure layer, which requires technical implementation and sits separate from the brand visibility measurement workflow most marketing teams are building.
Enterprise BI integrations
Scrunch's Enterprise tier includes Looker Studio integration, Query API, Advanced API, and SSO, which suits organizations that need to pipe visibility data into existing BI infrastructure. gumshoe.ai's API is currently available to select users, so teams with immediate enterprise data pipeline requirements should factor that into their evaluation.
When to choose each platform
Choose gumshoe.ai when:
- Your team's goal is to understand how your brand is perceived across AI models and diagnose specific topics and personas where visibility is weak
- You need built-in content generation to close visibility gaps without switching tools
- You need 11 models covered, including Google AI Overviews, on any plan tier
- You want to track up to 30 competitors with per-persona, per-topic, and per-model breakdowns
- Per-audit pricing fits your workflow better than a $250/month subscription
Choose Scrunch AI when:
- Your primary requirement is edge-layer content optimization for AI agent traffic via AXP
- You need enterprise BI integrations (Looker Studio, Advanced API, SSO) from day one
Conclusion
gumshoe.ai is built for teams that need to move from AI visibility monitoring into active optimization. Its persona-driven measurement across 11 models, competitive leaderboard supporting up to 30 rivals, citation-level source tracing, built-in content generation, and per-audit pricing combine into a workflow that covers measurement, diagnosis, and action without requiring multiple tools.
Scrunch is a reasonable choice for teams that specifically need edge-layer AI agent content delivery or enterprise BI integrations on a fixed subscription. For everything else, gumshoe.ai's broader model coverage, deeper competitive benchmarking, and built-in action layer make it the stronger platform for marketers who need to understand and improve their AI search presence.
Given that 34% of U.S. adults have used ChatGPT and Google AI Overviews serves over 2.5 billion monthly active users, the question is not whether AI search visibility matters. The question is whether your current tools give you enough signal to act on it. gumshoe.ai's 800-observation-per-run methodology and integrated content generation are built to answer that question with enough precision to drive decisions.
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