Tip: bookmark key pages for faster weekly reviews.
Overview
Brand Armor AI helps you understand how AI systems describe your brand, where you may be exposed to reputation risks, and what actions to take next.
- Visibility: Track how often and how well AI systems mention your brand, and how that changes over time.
- Protection: Detect potential inaccuracies and compliance risks in AI-generated outputs.
- Intelligence: Compare against competitors and identify content opportunities.
- Automation: Schedule reporting and connect notifications to your team tools.
What you won’t find in these docs
This documentation is written for end users. It explains features and workflows, but does not disclose internal implementation details (such as proprietary scoring logic, internal service design, or security secrets).
Who it’s for
- Marketing / SEO / GEO teams who want measurable AI visibility improvements.
- Brand and comms teams who need early warning signals and repeatable review processes.
- Compliance and risk teams monitoring brand claims and potential misinformation.
What you can do (in plain terms)
- Measure: see where you stand today and whether you’re improving week over week.
- Diagnose: understand what information is shaping AI descriptions of your brand.
- Act: get practical next steps (pages to improve, gaps to fill, risks to correct).
- Share: generate reports and push alerts to the tools your team uses.
Get value quickly (the 3-step loop)
You’ll get the most value when you treat Brand Armor AI as a repeatable weekly workflow:
- Baseline: review LLM Visibility and Rankings to understand where you are.
- Fix inputs: use Brand Audit + Content Gaps to improve your official pages and references.
- Verify outcomes: re-check trends next week and share a short report with stakeholders.
Tip
If you do only one thing: run the weekly loop above for 4 weeks. It’s the fastest way to see whether your changes are moving visibility and sentiment in the right direction.