Be the answer for AI
Use Gauge Chat to improve your brand’s AI visibility, or Gauge Agents to understand how coding agents choose and use your tool.
What do you want to do?
Gauge Chat
Gauge Agents
Popular starting points
Gauge Chat quickstart
Gauge Agents quickstart
API reference
What Gauge does
Gauge helps companies understand and improve how AI systems represent, recommend, and use their products. Traditional analytics show what people click after they reach a website. Gauge measures the decisions AI makes before and during that journey: which brands appear in an answer, which sources shape the answer, which developer tools a coding agent recommends, and whether the agent can use those tools successfully.
Gauge turns that evidence into action. Teams can trace a result back to the prompts, answers, citations, agent traces, and code changes behind it; identify the gaps causing lost visibility or failed adoption; and test changes to content, documentation, positioning, and product experience. The goal is not simply to monitor AI. The goal is to help your product become the answer AI gives and the tool agents choose.
Gauge’s two products
Gauge Chat
Gauge Chat is the AI visibility product for marketing, growth, and content teams that want their brand to appear accurately and prominently in AI search. It runs customer questions across major AI platforms every day, measures mentions and citations, compares competitors, and shows the sources behind every result. Ask Gauge and the Content Engine turn visibility gaps into recommended actions and publish-ready content.
Use it to: monitor AI answers, understand competitive visibility, find content and positioning gaps, and improve the information AI uses to describe your brand.
Gauge Agents
Gauge Agents is the Coding Agent optimization product for developer-tool companies that want coding agents to choose their product and implement it correctly. It runs real coding agents in real repositories, records their research and code changes, and measures both Agent Preference—which tools agents recommend and adopt—and Agent Experience—whether agents complete a task successfully. Teams can use the full web product or the Gauge CLI; both provide the same measurement, run, and results workflows.
Use it to: compare agent and model behavior, find documentation or onboarding friction, understand why competitors win, and test which changes improve selection and implementation.
How to get started
Start with Gauge Chat
- Start the one-week Growth trial.
- Add your brand, website, competitors, and the customer questions you want Gauge to track.
- Review the daily answers, citations, visibility metrics, and recommended actions.
Start with Gauge Agents
- Choose the web product or CLI. Both support the same Gauge Agents workflows.
- For the web product, sign in at agents.withgauge.com and complete the guided onboarding flow.
- For the CLI, install
@withgauge/cliand rungauge onboard. - Create an Agent Preference or Agent Experience measurement, choose a scenario, and launch the first runs.
Choose the outcome you want to improve
Both Gauge products connect measurement to action. Choose the one that matches how customers—or their coding agents—discover and adopt your product.
Understand and improve how AI represents your brand.
See where your brand appears, which sources shape the answer, and what your team can do next. Gauge Chat combines daily measurement with analysis and publish-ready content.
Measure why coding agents choose your product—and whether they succeed with it.
Run real agents in real repositories. See their research, decisions, code changes, and failures so your team can improve documentation, onboarding, and product experience.