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AI Visibility Tracker measures how often — and how favourably — a brand appears in answers produced by AI assistants and AI search surfaces. Instead of tracking blue-link rankings, it runs a curated set of prompts against several LLM providers on a schedule, detects brand and competitor mentions in the answers, and turns those detections into visibility, sentiment and competitor benchmarks.

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What the app does

Prompt tracking

Runs each campaign’s active prompts against OpenAI, Gemini, Claude, Perplexity, Grok and Google AI Overview / AI Mode, then records where the brand was mentioned.

Visibility scoring

Weighs mentions per provider into an industry visibility score, with rank degradation and a penalty for domains that are not direct competitors.

Brand sentiment

Selects topics, retrieves per-topic answers, and scores the sentiment of each brand mention.

Traffic correlation

Pulls GA4, Search Console and Bing Webmaster data so AI visibility can be compared against real organic traffic.

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Stack at a glance

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Where to start

Quickstart

Get the app running locally from a fresh clone.

Architecture overview

How the request, job and scoring layers fit together.

Environment reference

Every environment variable the app reads, grouped by concern.

Contributing

Branching, formatting and test conventions.