Gumshoe vs Peec AI
Both platforms track AI search visibility, but they differ substantially on methodology, depth, and workflow completeness.
Overview
AI-generated answers now appear in 58% of Google searches, and AI Overviews reach over 11% of all Google queries. For marketers and agencies, that shift means brand visibility is no longer determined solely by organic rankings. It is shaped by what AI models recommend, cite, and mention when buyers ask questions.
gumshoe.ai is built specifically for this problem. It has generated 40,000+ reports, analyzed 170,000+ personas, and measured 2M+ brands for 7,500+ brands and agencies. This comparison examines gumshoe.ai against Peec.AI on a feature-by-feature basis, so decision-makers can evaluate the tools against their actual requirements.
Gumshoe vs Peec AI: Feature Comparison
| Capability | Gumshoe | Peec AI |
|---|---|---|
| AI models tracked | 6 models per audit on both paid plans, drawn from 11 tracked including Google AI Overviews | 3 models (Starter/Pro/Advanced); all models at Enterprise tier only |
| Data collection method | Official APIs only, no browser scraping | UI scraping / browser automation |
| Persona framework | AI-inferred personas with roles, goals, pain points, and decision context | Tracked prompts and projects; no documented persona framework |
| Prompt volume | 8 personas × 10 prompts each across 6 models; up to 480 conversations per audit | Prompt tracking based on plan limits |
| Statistical methodology | Published sample-size math; ±5 pp at 95% confidence for default configuration | Not publicly documented |
| Competitor tracking | Up to 30 competitors side by side | Available; limits not publicly specified |
| Page-level audit | Page-by-page AIO score (0–100%), checks schema, structured data, metadata | Not documented as a native feature |
| Citation source tracking | Shows which domains AI models cite in-category | Not documented as a native feature |
| Content generation | Built-in, gap-targeted, persona-specific, model-optimized; 3 runs/mo on Starter, 10 on Pro, $25 per run beyond that | Actions layer provides prioritized guidance; direct content generation not documented |
| Heatmaps | Persona × competitor, topic × competitor, model × competitor | Not documented as a native feature |
| Export and API | CSV, JSON, read API | Not publicly documented |
| Languages supported | 16 | Not publicly documented |
| Pricing model | Free sample audit; Starter $99/mo, Pro $299/mo; cancel anytime | Subscription-based; Starter, Pro, Advanced, Enterprise tiers |
Where gumshoe.ai has clear advantages
Official API access vs. browser scraping
This is the most significant technical differentiator. Peec.AI's documentation states it uses UI scraping and browser automation to simulate real user interactions. gumshoe.ai accesses every model through official APIs and is API-only by design. Browser scraping results can be affected by personalization, caching, and UI rendering artifacts. API-based queries are cleaner, more reproducible, and more auditable.
Model coverage at non-enterprise tiers
Peec.AI limits access to 3 models on Starter, Pro, and Advanced plans, with full model selection reserved for Enterprise. gumshoe.ai runs the same 6-model Visibility Audit on Starter and Pro alike, drawn from a tracked set that includes ChatGPT, Gemini, Claude, Perplexity, DeepSeek, and Google AI Overviews. Model coverage is not a bargaining chip held back for an enterprise contract.
Statistical transparency
gumshoe.ai publishes its sample-size methodology, stating that a default audit produces an overall visibility estimate of approximately ±5 pp at 95% confidence. No competing platform in this category documents this level of measurement rigor publicly.
Persona-driven measurement
gumshoe.ai builds AI-inferred buyer personas with roles, goals, pain points, and decision-making context, then measures brand visibility by persona, topic, and model. Peec.AI's public documentation focuses on tracked prompts and projects without a documented persona layer. For B2B marketers whose buyers have distinct roles and buying criteria, the gumshoe.ai model maps directly to how purchase decisions are actually made.
Integrated monitor-diagnose-act workflow
A single platform delivers brand leaderboards, topic and competitor heatmaps, page-level AIO scoring, citation source analysis, and a content generator included in your monthly allowance. Peec.AI's Actions layer provides prioritized guidance steps, but content creation sits outside the platform. That gap adds friction and time to the optimization process.
Where Peec AI has strengths
Structured Actions layer
Peec.AI's Actions feature provides a structured guidance layer that delivers prioritized optimization steps, which suits teams that want a clear checklist rather than an open-ended diagnostic workflow. That said, the platform stops short of generating the content itself, so acting on those steps still requires work outside the tool.
Subscription pricing
Peec.AI reserves full model coverage for its Enterprise tier, so getting every model means negotiating a contract. gumshoe.ai publishes both of its monthly plans and puts the same Visibility Audit limits on each, so the plan you pick changes cadence and depth of analysis rather than how much of the market you can see.
When to choose each platform
Choose gumshoe.ai when:
- You need statistically defensible visibility data with documented confidence intervals
- You want the same model coverage on both paid plans, with no enterprise contract to unlock it
- Your team operates on a B2B buyer-persona model and needs visibility broken down by role and decision context
- You want a single platform that moves from monitoring through diagnosis to content creation
- You want published monthly pricing without an enterprise contract
- You work across multiple languages (gumshoe.ai supports 16)
Choose Peec AI when:
- Your team prefers a subscription model with a predictable monthly line item
- You need 3 AI models and a structured action checklist, and content generation is handled by a separate tool or team
- Your workflow fits a prompt-and-project tracking structure rather than a persona-driven framework
Conclusion
gumshoe.ai and Peec.AI both address AI search visibility monitoring, but they differ substantially on methodology, depth, and workflow completeness.
gumshoe.ai is the stronger choice for teams that require statistical rigor, broad model coverage without enterprise pricing, persona-driven measurement, and a workflow that goes from data to content without switching platforms. The API-only methodology is a foundational advantage: results are reproducible and free from the artifacts that affect scraping-based tools.
Peec.AI is a reasonable option for teams that need a subscription-based tool, work primarily with three AI models, and handle content creation separately from their monitoring workflow.
For marketers who need to answer the question "how visible is our brand when buyers ask AI systems for recommendations, and what do we do about it," gumshoe.ai provides more data, more context, and more actionable output in one place.
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