Learn
Guides on AI brand verification, fixing inaccuracies, and monitoring what AI models say about your brand.
AI visibility score, explained
An AI visibility score is a 0 to 100 summary of whether, how prominently, and how favorably a brand appears in AI answers. Here is the exact formula AIVIS uses, component by component, and what moves each part.
Read more→GEO vs AI verification: two different questions
Generative engine optimization tries to get your brand into AI answers. AI verification checks whether those answers are true. One is discovery, the other is accuracy, and confusing them costs money in both directions.
Read more→How to monitor your brand in ChatGPT
A practical workflow for checking what ChatGPT tells people about your brand: which questions to ask, why answers vary between runs, what its search mode changes, and how to keep a record that holds up.
Read more→How to monitor your brand in Claude
How to check what Claude tells people about your brand: where its answers come from, how its web search changes the picture, why citation behavior matters, and how to build a record worth keeping.
Read more→How to monitor your brand in Gemini
How to check what Google's Gemini tells people about your brand, why Gemini leans on Google's index and structured data more than other assistants, and how to turn wrong answers into a fixable source list.
Read more→How to monitor your brand in Perplexity
How to check what Perplexity says about your brand. Perplexity retrieves live pages and cites them, which makes it the most diagnosable AI engine and the fastest to respond when you fix your sources.
Read more→What is AI visibility?
AI visibility is the degree to which a brand appears in AI-generated answers when people ask relevant questions. Learn how AI answers are assembled, how visibility is measured, and why a visible brand can still be described incorrectly.
Read more→ChatGPT says wrong things about my brand — how to fix it
What to do when ChatGPT produces inaccurate information about your brand. Specific steps for correcting OpenAI's training data, submitting feedback, and monitoring for changes.
Read more→Microsoft Copilot says wrong things about my brand — how to fix it
What to do when Microsoft Copilot produces inaccurate information about your brand. How Copilot sources information through Bing, where to submit corrections, and how to monitor for changes.
Read more→Gemini says wrong things about my brand — how to fix it
What to do when Google Gemini produces inaccurate information about your brand. Steps for correcting Google's knowledge graph, using feedback tools, and leveraging your Google Business Profile.
Read more→Perplexity says wrong things about my brand — how to fix it
What to do when Perplexity AI produces inaccurate information about your brand. How Perplexity's citation-based system works, where to fix sources, and why corrections can appear fastest here.
Read more→What is AI brand verification?
AI brand verification is the process of checking what AI models like ChatGPT, Claude, and Gemini say about your brand against facts you control, and flagging every inaccuracy with evidence.
Read more→What is AIVIS?
AIVIS.Space is an AI verification platform that checks what ChatGPT, Claude, and Gemini say about your brand against facts you control — and flags every inaccuracy with timestamped evidence.
Read more→When ChatGPT gets your brand wrong: the complete fix playbook
A step-by-step playbook for fixing inaccurate AI-generated brand information across ChatGPT, Claude, Gemini, and Perplexity — from finding the problem to correcting the source.
Read more→