{"id":14,"date":"2025-12-22T14:09:19","date_gmt":"2025-12-22T14:09:19","guid":{"rendered":"https:\/\/gumshoeaiblog.wpenginepowered.com\/?p=14"},"modified":"2026-04-02T11:34:34","modified_gmt":"2026-04-02T18:34:34","slug":"gumshoe-ai-vs-peec-ai","status":"publish","type":"post","link":"https:\/\/gumshoe.ai\/blog\/gumshoe-ai-vs-peec-ai\/","title":{"rendered":"Gumshoe vs Peec"},"content":{"rendered":"

Summary:<\/strong> Gumshoe AI provides programmatic, prompt-driven measurement of brand visibility across leading LLM search systems, with built-in AIO recommendations and page audits that translate model behavior into actionable tasks. Key differentiator:<\/strong> a product-first focus on prescriptive AEO guidance and pay\u2011as\u2011you\u2011go testing that maps conversational prompts to brand visibility, personas, topics, and source citations.<\/p><\/blockquote>\n

Overview<\/h2>\n

Gumshoe AI is an early stage visibility platform that runs conversational prompts against major LLM-driven search systems, captures model responses, and converts those outputs into measurable brand metrics, persona\/topic breakdowns, source citations, and optimization recommendations [1]<\/a>, [2]<\/a>. For marketing, SEO, and analytics teams evaluating vendors, the comparison matters because these teams need a mix of repeatable sampling, actionable diagnostics for web pages, and exportable data for dashboards. The section below compares Gumshoe to Peec.AI on the feature axes procurement teams most often require.<\/p>\n

Peec.AI (peec.ai)<\/h2>\n

<\/p>\n\n\n\n\n\n\n\n\n\n\n\n
Feature axis<\/th>\nGumshoe AI (gumshoe.ai)<\/th>\nPeec.AI (peec.ai)<\/th>\n<\/tr>\n<\/thead>\n
Core capability<\/td>\nProgrammatic conversational testing across named models, reporting Brand Visibility Score, persona\/topic visibility, leaderboards, page audits, and AIO recommendations that classify tactical levers for optimization [3]<\/a>, [4]<\/a><\/td>\nPrompt monitoring and visibility tracking, rank\/position inside responses, sentiment and source citation analysis, prompt-based runs with multi-model selection documented on site [5]<\/a><\/td>\n<\/tr>\n
Model coverage<\/td>\nPublicly lists Google Gemini, ChatGPT (OpenAI), Perplexity, Anthropic, expands coverage over time; captures per-model response behavior for each run [6]<\/a><\/td>\nAdvertises multi-model daily runs with selector options, documentation shows support for major AI search models and project-level configuration [5]<\/a><\/td>\n<\/tr>\n
Metrics reported<\/td>\nBrand Visibility Score (percent of responses that mention your brand), Topic \/ Persona \/ Model Visibility, raw mention counts, leaderboards, sources and citations, page-level AIO audit results [4]<\/a>, [7]<\/a><\/td>\nVisibility and share of responses, position\/rank within answers, sentiment scoring, source visibility, and documented visibility formulas [5]<\/a><\/td>\n<\/tr>\n
Exports and API<\/td>\nFull JSON export of report data including prompts and model responses, visibility scores, mentions, personas, topics, sources, and citations; CSV export offered but excludes competitors, sources, and full model answers; public API in development, JSON recommended for programmatic access until API launches [3]<\/a>, [8]<\/a>, [9]<\/a><\/td>\nPublic API available, and a Looker Studio \/ BI connector offered for direct dashboarding; designed for automated reporting and routine ETL to business reporting systems [5]<\/a>, [10]<\/a><\/td>\n<\/tr>\n
Pricing model<\/td>\nPay-as-you-go testing, first three report runs free, $0.10 per conversation for on-demand usage, enterprise custom contracts for high scale and integrations [9]<\/a><\/td>\nTiered monthly pricing with caps on prompts\/answers per month, simpler ongoing subscription for steady state usage [10]<\/a><\/td>\n<\/tr>\n
Reporting UI & recommendations<\/td>\nLanding page with visibility, competitive rank, persona-by-topic matrices, model visibility, cited sources, and prescriptive AIO recommendations across three optimization levers; page audit for URL-level diagnostics [4]<\/a><\/td>\nDashboard-first UX, alerts, and tactic suggestions tied to sources that appear often in model citations; built for fast insights and agency workflows [5]<\/a><\/td>\n<\/tr>\n
Enterprise readiness & integrations<\/td>\nEnterprise plans with custom integrations and dedicated success support, emphasis on AIO audits and actionable page-level items; API roadmap shared publicly as work in progress [8]<\/a>, [9]<\/a><\/td>\nPublic API and BI connectors, documented integration points for Looker Studio and other tools, positioned for teams that need immediate dashboard connectivity [5]<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p>\n

Advantages where Gumshoe stands out<\/p>\n