Explore all Brand Protection tabs: Content Index, Adversarial, Fact Check, Red Team, Simulated RAG, Gap Analysis, and Internal Links.
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Brand Protection monitors how AI platforms represent your brand and defends against misinformation, adversarial attacks, and content gaps. This page covers each analysis tab in detail.
For initial setup, see Brand Protection.
Before running any analysis, index your website so Vizzybl has content to work with.
A progress indicator shows the crawl status in real time. Once complete, your indexed pages appear in the Content Index tab.
Shows all indexed pages across your domain and competitor domains.
For each indexed domain you see:
Click into any domain to see individual pages with their titles and indexing metadata. Re-index at any time to capture content changes — monthly re-indexing is recommended.
Detects security flags and potential adversarial content in AI responses about your brand.
Vizzybl scans AI responses for patterns that could indicate:
Each flag includes a severity level, category, and the specific response that triggered it. Use these flags to identify patterns in how AI platforms might misrepresent your brand.
Verifies the factual accuracy of claims AI platforms make about your brand.
Vizzybl compares AI-generated statements against your indexed content to identify:
Focus on contradicted claims first — these represent active misinformation that could mislead your audience.
Each claim carries how widespread it is (the share of checked answers repeating it), which engines said it, and the ground-truth statement it contradicts.
For every inaccurate claim, Fact Check traces the web page most likely feeding it. Citation Share is the proportion of the answers carrying a claim that also cite a given page — a page cited by every one of them is far more likely to be the cause than a page cited by one.
Each page is categorised by who controls it, which determines the remedy:
| Category | Meaning | Suggested action |
|---|---|---|
| Owned | Your own site | Update content — correct the page directly |
| Earned | A review site, forum or publication | Outreach — ask the publisher to correct it |
| Competition | A competitor's page | Create content — publish the correct answer yourself |
| Uncited | The answers cited nothing at all | Create content — the model is drawing on training data |
Claims we are not confident enough about are marked Monitor rather than given an action — acting on a shaky verdict is worse than waiting.
Any row can be filed to your Actions board with one click. The card carries the false claim, the ground truth, how widespread it is and the offending page, so it can be worked without opening Vizzybl.
Simulates adversarial attacks against your brand to identify vulnerabilities before bad actors exploit them.
| Type | What it does | Availability |
|---|---|---|
| Standard | Generates adversarial prompts and tests them against your indexed content | All plans |
| Live | Sends adversarial prompts to real AI engines (ChatGPT, Perplexity, Gemini) and analyzes their actual responses | Ultra / Enterprise |
Each assessment produces a Red Team Score, a per-category breakdown, and concrete recommendations for content you should strengthen.
Tests how a Retrieval-Augmented Generation system would respond to queries using your indexed content as the knowledge base.
Many enterprise AI deployments use RAG to ground responses in specific content. This tab simulates that process so you can see:
Enter test queries to see which pages your content surfaces and how a RAG system would synthesize them into a response.
Identifies content gaps by comparing your indexed content against a competitor's.
The results show:
Use these gaps to prioritize content creation. Closing gaps on high-value topics improves your AI citation likelihood.
Analyzes the link structure within your indexed pages and suggests internal links to improve topical authority.
For each suggestion you see:
Stronger internal linking helps AI crawlers discover related content and reinforces your authority on connected topics.
