What is Gauge?
Gauge is a web platform that tracks how a brand shows up in answers from ChatGPT, Claude, Gemini, Perplexity, and other AI chat tools. It runs prompts against multiple LLMs over time and reports where a company is cited, where it is missing, and how often its competitors appear instead. Marketing and growth teams use it to manage their visibility in AI search the same way they used to track Google rankings.
Why Gauge works
Customers are increasingly asking AI tools for product recommendations instead of running a Google search, and there is no native analytics for that channel. Gauge solves the dark funnel by polling the LLMs directly and centralizing the citation data, so teams can see which sources the models trust and where their brand is being skipped. That is the only way to make AI visibility a tracked KPI rather than a guess.
Gauge features
- Prompt tracking across LLMs. Gauge runs a chosen set of prompts against ChatGPT, Claude, Gemini, and Perplexity over time so trends are visible, not just snapshots.
- Coverage and gap analysis. Reports show where a brand appears and where it is missing relative to expected mentions, which turns visibility into something a team can plan against.
- Competitor benchmarking. Side-by-side comparisons show how often competitors appear in the same prompts, which makes share-of-voice in AI concrete.
- Citation tracking. Tracks how often a website is cited in AI responses, which is the closest thing to a search ranking in this channel.
- Content engine. Generates data-backed articles aimed at being referenced by LLMs so the output of the analysis can feed directly into the strategy.
- Integrations and assistant. Hooks into Google Analytics, Google Search Console, Slack, and S3, with an internal Ask Gauge assistant that recommends next steps from the data.
Who Gauge is for
- Growth leaders at SaaS companies whose buyers research vendors through ChatGPT and Perplexity before ever visiting the site.
- Marketing teams at developer tools companies trying to measure why warm leads cite an AI answer in their first call.
- Crypto and fintech marketers tracking where Perplexity and ChatGPT are pulling source material in their category.
- Content strategists who want a measurable reason to greenlight new articles aimed at being cited by AI rather than ranked on Google.
Similar micro SaaS ideas you can build
- Reddit citation tracker for brands. Tool that monitors brand and competitor mentions across the subreddits LLMs cite most often, sold per tracked brand.
- Wikipedia presence auditor. Service that benchmarks how completely a brand or product is covered in Wikipedia and other LLM training sources, billed per audited entity.
- AI buying-intent monitor. Platform that classifies which AI prompts are commercial intent in a given category and ranks which sources answer them, priced per category subscription.
- LLM citation outreach service. Productized service that identifies publications LLMs cite in a niche and pitches data-led articles to them, billed per placement.
