Agent experience testing
Run the same implementation task across agents such as Claude Code, Codex, and Cursor, then compare the outputs against your success criteria to see where they succeed or get stuck.
Gauge is an AI visibility and agent-led growth platform that helps teams track how coding agents and AI search surfaces recommend, cite, and install their product.
Gauge is an AI visibility and agent-led growth platform for teams trying to understand how coding agents and AI search systems select, cite, and install tools. The product combines prompt tracking, answer monitoring, and content workflows so teams can see where their brand appears, where it is absent, and what content changes may influence those outcomes.
The site positions Gauge around two related jobs. For agent-led growth, it runs real coding agents in real repositories and evaluates how they choose packages, docs, and installations. For AI search visibility, it tracks mentions across assistants and search surfaces, identifies gaps versus competitors, and can generate and publish content meant to close those gaps. The pricing page also shows a free trial on the Growth plan and a paid plan structure for teams that need ongoing tracking and publishing.
Run the same implementation task across agents such as Claude Code, Codex, and Cursor, then compare the outputs against your success criteria to see where they succeed or get stuck.
Track how often your product is recommended, installed, or replaced by competitors, and inspect which sources and documents shaped that outcome.
Replay a failed session from the point where the agent read your documentation, then change the copy and compare whether the rewrite improves the install result.
Monitor AI-generated answers across major search and assistant surfaces to understand where your brand is mentioned, cited, or missing.
Use the Ask Gauge agent to get analysis across visibility data, content gaps, and prioritization questions without leaving the workflow.
Connect reporting and publishing workflows through GA4, Search Console, DataForSEO, CMS publishing options, Slack, and MCP integrations.
Use Gauge to see whether coding agents recommend your tool, which alternatives they choose instead, and which documentation or source pages influenced the decision.
Monitor how your brand appears in AI search and assistant answers, then use the gaps analysis to identify topics, pages, or competitor comparisons that are missing from coverage.
Replay failed installs or incomplete sessions from docs and quickstarts, test copy changes, and compare whether the revised page improves the agent’s outcome.
Bring prompt visibility, search data, and traffic data into one reporting flow so content and growth teams can prioritize work using both AI and traditional SEO signals.
Use the Ask Gauge agent to turn visibility gaps into publishable articles, then send content to supported CMS or publishing workflows and verify whether the change affected results.
Agent Led Growth is the idea that coding agents increasingly decide which tools get installed into a developer’s workflow or codebase. Gauge is positioned to help products earn those recommendations by tracking how agents evaluate and select tools.
Gauge says it measures model reasoning signals, tool calls, network requests, web searches, judgments, and final package installations so teams can see how agent decisions are made and where they break down.
The pricing page says Growth includes a 1-week free trial. You can sign up, connect your brand, and Gauge starts running prompts the same day.
The pricing page lists GA4, Google Search Console, DataForSEO, Webflow, Framer, Sanity, GitHub, Slack, and MCP access on the Growth and Enterprise comparison.
Gauge is used to monitor AI visibility across platforms such as ChatGPT, Google AI Overviews, AI Mode, Gemini, Perplexity, Microsoft Copilot, and, for some plans or setups, Claude and Grok.
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