GeoFlux

AI search analytics for marketing teams and agencies.

People are asking AI tools questions instead of typing keywords into a search box. That shift changes how visibility works: you need to know when and how your brand shows up in those conversations, who else is mentioned, and which sources the model is using.

GeoFlux tracks your brand across AI answers, measures visibility and share of voice, and surfaces the domains and content that influence what the model says.

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Docs overview

• Get started — What we track (and how it’s different from traditional search), plus a short path from signup to your first results: brand, topics, prompts, and understanding the dashboard.

• Project setup — Prompts (including suggested prompts by topic), topics, tags, competitors, and countries. Everything you need to define what you’re tracking.

• Understanding your results — How to read the dashboard: metrics over time, reach and volume, citation sources, and recent chat responses. How to use filters (brand, topic, tag, period, model, country) to spot opportunities.

• Sources and watchlists — Why sources matter for AI visibility, how to use citation and source-domain data, and how to set up watchlists so you can monitor important domains and get notified when they’re cited.

• Reference — Metric definitions, filters, and navigation. Use this when you need a quick answer or a step-by-step.

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What GeoFlux measures

We run conversational prompts (e.g. “What’s the best CRM for small marketing teams?”) on AI platforms and analyze how your brand and competitors appear in the answers.

• Visibility (response coverage) — How often your brand appears in responses, i.e. your presence in AI conversations.

• Mentions — How many times your brand is named in those responses.

• Citations — How often your brand is tied to specific sources (links/domains) the model references.

• Share of Voice — Your share of mentions relative to the competitors you track in the same prompts.

• Sentiment — Whether the model describes your brand positively, neutrally, or negatively when it mentions you.

All of this is built on sources: the domains and content the model cites when it talks about your space. Changes in your visibility or share of voice often come from new or changed sources. GeoFlux helps you see which sources matter so you can focus on the ones that move the needle.

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How we collect data

We run your prompts on AI platforms (e.g. ChatGPT) on a schedule and aggregate results over time, so you see trends instead of one-off answers.

We use browser automation (via Bright Data) rather than only calling APIs. We interact with the same web interfaces your users see, so the data reflects what people actually get — including which model is used and whether a web search is performed, just like for a typical user. That keeps the data aligned with real usage and lets us cover products and flows that don’t expose full APIs.

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What you can do with GeoFlux

• Track AI visibility — See when and how often you’re mentioned in relevant AI conversations.

• Compare to competitors — See who else is mentioned and how your share of voice changes over time.

• Find citation opportunities — See which domains and sources the model trusts and cites in your category.

• Organize by topic and tag — Group prompts and analyze by theme or campaign.

• Use suggested prompts — Start from prompts that mirror real user questions, organized by topic.

• Monitor important domains — Use watchlists to track key sources and get notified when they’re cited.

• Slice the data — Filter by time window, brand, topic, tag, model, and country to focus on what matters.