Scan module · Use case
Monitor AI visibility across multiple brands
You run several brands or client accounts and have no consistent way to compare their AI visibility side by side. Each brand gets its own prompt set, competitor list, and GVI™ score inside one workspace, with white-label exports for client reporting.
Last updated
How do you monitor AI visibility across multiple brands?
Each brand gets its own prompt set, competitor list, and GVI™ score inside one workspace, with white-label exports for client reporting. The work runs in four steps: add each brand with its own prompts and competitor set; run all portfolios on the same schedule for comparable data; compare gvi™ across the portfolio to prioritise attention; export white-label reports per client or per brand. One view of visibility across the portfolio, and a repeatable report you can send without rebuilding it.
Key facts
- Job to be done
- Monitor AI visibility across multiple brands
- Platform module
- Scan
- Typical owner
- Agencies and multi-brand portfolio owners
- Available from
- Scale — $199 / month
- Engines covered
- ChatGPT, Gemini, Claude, Perplexity, Copilot, Grok
- Outcome
- One view of visibility across the portfolio, and a repeatable report you can send without rebuilding it.
The problem
You run several brands or client accounts and have no consistent way to compare their AI visibility side by side.
This is not a reporting inconvenience — it is a measurement gap. AI answers are generated fresh each time and vary between sessions, so anecdotal checks cannot establish a trend and cannot prove whether anything you changed made a difference.
How Geosystems AI handles it
Each brand gets its own prompt set, competitor list, and GVI™ score inside one workspace, with white-label exports for client reporting.
- Add each brand with its own prompts and competitor set.
- Run all portfolios on the same schedule for comparable data.
- Compare GVI™ across the portfolio to prioritise attention.
- Export white-label reports per client or per brand.
What you get
Everything below lands in your private workspace and is exportable as PDF or CSV, so the evidence travels with the decision.
| Output | What it contains |
|---|---|
| Portfolio dashboard | GVI™ for every brand in one place |
| Per-brand prompt sets | Independent tracking with no cross-contamination |
| White-label PDF exports | Client-ready reporting without manual assembly |
| Seat management | Up to ten workspace seats with role-based access |
What good looks like
One view of visibility across the portfolio, and a repeatable report you can send without rebuilding it.
The measurement backbone is the same across every use case: GVI™ scores each answer on Presence, Prominence, Attribution, and Accuracy, while Recommendation Share™ places that score against the competitors you name. Both are re-run on a schedule so movement is a trend, not a screenshot.
Monitor AI visibility across multiple brands
Start with a free AI Visibility Scan and get the baseline this use case builds on — a GVI™ score across all six AI engines, plus every inaccuracy currently in circulation.
Frequently asked questions
Who typically owns this inside a company?
Agencies and multi-brand portfolio owners. In smaller teams it usually sits with whoever owns demand generation, because the impact lands on pipeline first.
Which plan do I need?
Scale — $199 / month. Starter is $59 per month, Growth is $119 per month, and Scale is $199 per month. Annual billing is discounted.
Does this cover every AI engine?
Yes — ChatGPT, Gemini, Claude, Perplexity, Copilot, and Grok are all tracked on the same prompt set, so results are directly comparable between engines.
How do I try it before subscribing?
Run the free AI Visibility Scan at /free-ai-visibility-check. It returns a GVI™ baseline across all six engines with no account required.