SuperAPI AI Directory

GenReady

GenReady (Gumshoe) is a generative engine optimization (GEO) platform used to monitor a brand's visibility and sentiment across AI models such as ChatGPT, Gemini, Claude, and Perplexity. It runs conversations by simulating real buyer personas, analyzes how frequently the brand appears in AI answers, its ranking and cited sources, and helps brands diagnose gaps across different audience segments and topics, then optimize technical readability, content, and third-party citations to shape how AI presents the brand. It is already used by more than 10,000 brands and agencies. Each audit can cover 6 models (out of 11 tracked in total), providing brand leaderboards, persona reports, topic and competitor heatmaps, technical audit scores, a content generator, and CSV/JSON export.

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About this tool

GenReady (brand name Gumshoe) is a generative engine optimization (GEO) platform whose core purpose is to monitor and improve a brand's visibility and sentiment in generative AI answers. It is aimed at brands and marketing agencies that want to maintain a presence in AI recommendation scenarios, and claims to have been adopted by more than 10,000 brands and agencies.

The main capabilities include: brand visibility monitoring, tracking how AI talks about your brand, with each audit covering 6 models (drawn from 11 tracked models) and covering 80 prompts and 480 conversations that buying personas care about; brand leaderboards, allowing comparison of up to 30 competitors at the same time by mention frequency, recommendation rate, and sentiment; model visibility, to see how often different AI models mention your brand and the differences between pre-trained versions and web-search-enabled versions; time-series trends, tracking changes in AI visibility over time through automatic recurring reports; persona reports, building AI-inferred buyer personas based on the brand and industry, testing AI's answers to their real questions, and providing buyer criteria analysis and visibility heatmaps; topic and competitor heatmaps, visualizing the competitive landscape by persona x competitor, topic x competitor, and model x competitor; technical audit scoring, evaluating page-by-page readability for AI and flagging improvement points in JSON-LD, schema, structure, and metadata; citation source analysis, showing the domains actually cited when AI answers, to guide digital PR and content placement; content generator, generating structured content for weak points in the report data; export and integration, with full CSV and JSON export supported on all paid plans.

In terms of usage, the platform is subscribed to on a "project" basis. A project is a brand plus one focus area (usually one product or service line), for example lululemon + Leggings. Each project has its own monthly subscription, and all plans include unlimited seats. Start with one audit to see how the models currently answer, after which you can optionally choose different frequencies such as monthly tracking, weekly monitoring, or daily monitoring. The specific entry point for operations is https://www.gumshoe.ai/。

The main applicable scenarios are those in which brands seek exposure and reputation management in AI search and recommendations, including monitoring competitors' performance in AI, discovering gaps in specific buyer personas and topics, optimizing page technical readability, and planning content and third-party citation strategies.

In terms of limitations, the official text does not provide details such as specific price figures, a complete list of feature differences between plans, free trial duration, or refund policy, and these need to be confirmed by visiting the official website or contacting sales. The platform emphasizes that it differs from tools that merely scrape AI outputs by measuring AI-human interaction through conversations simulated with real buyer personas, but it does not explain the degree to which the simulation method is validated against real user behavior.