{"id":8,"date":"2025-12-22T14:40:32","date_gmt":"2025-12-22T14:40:32","guid":{"rendered":"https:\/\/gumshoeaiblog.wpenginepowered.com\/?p=8"},"modified":"2026-04-02T11:34:34","modified_gmt":"2026-04-02T18:34:34","slug":"gumshoe-vs-profound","status":"publish","type":"post","link":"https:\/\/gumshoe.ai\/blog\/gumshoe-vs-profound\/","title":{"rendered":"Gumshoe vs Profound"},"content":{"rendered":"

Summary:<\/strong> gumshoe.ai measures how large language models mention brands by running persona\u2011driven prompts across many LLMs and surfacing citations, visibility scores, and tactical AIO recommendations. Its chief differentiator is lightweight, pay\u2011per\u2011report access to multi\u2011model diagnostics plus exportable JSON that preserves prompts, model responses, citations, and recommended actions. [1]<\/a>][2]<\/a>]<\/p><\/blockquote>\n

Overview<\/h2>\n

gumshoe.ai provides targeted diagnostics for AI search visibility, designed for marketers and SEO teams that want to see how buyer personas are answered by multiple AI models, which sources those models cite, and which tactical changes will improve brand presence in answer engines. The product runs persona\u2011based prompts against dozens of model endpoints, aggregates mentions and citation data into visibility metrics, and issues an AIO (AI Optimization) set of recommended actions including first\u2011party content, schema and third\u2011party outreach. The platform is offered as a pay\u2011per\u2011report service with a JSON export for programmatic analysis, making it suitable for teams that need repeatable testing without large upfront contracts. [3]<\/a>][4]<\/a>][5]<\/a>]<\/p>\n

Profound (tryprofound.com) \u2014 feature comparison, and where gumshoe.ai excels<\/h2>\n

<\/p>\n\n\n\n\n\n\n\n\n\n\n\n
Feature \/ attribute<\/th>\ngumshoe.ai (summary)<\/th>\nProfound (summary)<\/th>\n<\/tr>\n<\/thead>\n
Model coverage and behavior<\/td>\nRuns persona prompts across Google Gemini variants, OpenAI GPT variants, Perplexity Sonar, Anthropic Claude, xAI Grok, DeepSeek and others, with documentation about which models use live web search vs foundational training data [6]<\/a>][7]<\/a>]<\/td>\nPositions itself to track answer engines including ChatGPT, Perplexity and Google AI Overviews, and markets an index of answer engine activity for enterprises [8]<\/a>]<\/td>\n<\/tr>\n
Pricing model<\/td>\nPay\u2011per\u2011report, first 3 reports free, typical public listing $0.10 per conversation, enterprise pricing available for high volume and SLAs [2]<\/a>][9]<\/a>]<\/td>\nEnterprise focused, custom pricing, sales engagement required for volume and SLAs [8]<\/a>]<\/td>\n<\/tr>\n
Exports and API<\/td>\nFull report JSON export available today, including prompts, raw model responses, mentions, personas, topics, citations; public API is in development, JSON export supports programmatic workflows now [4]<\/a>][10]<\/a>]<\/td>\nPositions enterprise integrations and APIs as available through sales, built for ingestion into enterprise pipelines [8]<\/a>]<\/td>\n<\/tr>\n
Attribution and analytics connectors<\/td>\nExports include structured JSON for pipeline ingestion, product materials mention storage integrations; customers can build attribution workflows from exports, confirm GA4\/UTM connector support with Sales [4]<\/a>][11]<\/a>]<\/td>\nLists Agent Analytics and GA4 integration capability for attribution and traffic correlation on public pages [8]<\/a>]<\/td>\n<\/tr>\n
Enterprise readiness and security<\/td>\nPublic privacy policy documents U.S. hosting and vendor analytics use, enterprise plan offers dedicated success and custom integrations; security documents and formal compliance badges are handled via Sales conversations [12]<\/a>][2]<\/a>]<\/td>\nMarkets SOC 2 compliance and enterprise SSO options on the site, positioned for procurement workflows [8]<\/a>]<\/td>\n<\/tr>\n
Content and workflow features<\/td>\nGenerates AIO recommendations and AI\u2011assisted content tied to report prompts, with guidance for FAQ pages, schema, and content formats that help model visibility [5]<\/a>][11]<\/a>]<\/td>\nEmphasizes content templates and blueprints for scaled content production, with workflow features marketed to content ops teams [8]<\/a>]<\/td>\n<\/tr>\n
Monitoring cadence and scale<\/td>\nDesigned for ad\u2011hoc and scheduled report runs, billed per run which makes incremental testing economical for teams that want frequent experiments; JSON export enables automated archival of results [3]<\/a>][9]<\/a>]<\/td>\nMarketed for continuous monitoring and enterprise SLAs, with a focus on trending searches and high frequency insights [8]<\/a>]<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/p>\n

gumshoe.ai advantages, objectively stated<\/p>\n