Interactive feature demo
AI Visibility Explorer
Explore how your brand shows up in ChatGPT, Claude, Gemini, Perplexity, and Grok through a cleaner operational lens: recommendation share, citation quality, hallucination risk, competitor overlap, and the content actions that come next.
Interactive feature walkthrough
See how the explorer turns AI answers into a usable operating system
The AI Visibility Explorer is not just another dashboard screenshot. It is where recurring prompt clusters, source diagnostics, hallucination checks, and competitor patterns become visible enough to act on.
Cross-engine visibility
See where your brand actually appears, who outranks you, and which prompts matter commercially.
Source and citation diagnosis
Inspect the exact sources shaping AI answers so content updates are tied to retrieval reality, not guesses.
Accuracy and reputation protection
Catch hallucinations, narrative drift, and stale brand framing before they compound across AI answers.
Engine views
Switch the answer environment
A product-style preview of how Brand Armor AI surfaces AI visibility signals across different engines, from recommendations and citations to hallucinations and competitor pressure.
Track recommendation share, competitor overlap, and prompt-by-prompt mention quality across buyer journeys.
ChatGPT recommendation view
Brand Armor AI appears most often when prompts ask for prompt-level monitoring, citation tracking, and recovery actions tied to competitor losses.
How teams use it
A simple operating loop for AI visibility
The explorer is most useful when it sits inside a recurring rhythm. It shows what changed, why it changed, and which source or content fix should come next.
Track prompt clusters
Build recurring prompts for category, competitor, use-case, and pain-point questions.
Inspect answers and citations
See which engines recommend you, which competitor wins, and what source supported the answer.
Ship content and positioning fixes
Close comparison gaps, refresh proof, and improve source clarity where recommendation loss is recurring.
Measure share and quality over time
Validate recommendation lift, citation health, and narrative quality instead of relying on one-off screenshots.
Why this beats screenshots and ad-hoc checks
You need continuity, not isolated answer snapshots.
