AIbrandscan is not just a dashboard. It is an agent-first visibility system that scans AI answers, compares competitors, explains what is happening, and recommends what to improve next.
Features
See if AI tools mention your brand when people ask buying-intent questions. AIbrandscan tests your brand across prompts that match real customer behavior: category searches, “best tools” questions, competitor alternatives, comparison prompts, and use-case questions.
Track
Find out which competitors AI recommends instead of you. The agent compares your brand against competitors across the same prompts and AI platforms, showing which competitors appear more often, how they are described, and which topics or use cases they dominate.
Track
Turn AI visibility gaps into clear optimization tasks. AIbrandscan does not stop at reporting. The agent analyzes why your brand may be missing and suggests practical Generative Engine Optimization improvements for your website, content, and positioning.
Get recommendations for
Track whether your AI visibility improves over time. AI-generated answers change. Competitors publish new content. Models update. AIbrandscan monitors your selected prompts every week, so you can see whether your brand is gaining or losing visibility.
Monitor
Use AIbrandscan inside your existing agent workflow. With MCP and agent workflow support, your AI visibility data can become part of your SEO, content, technical optimization, and reporting workflows inside tools like Codex, Claude Code, and other AI agents.
Use it to
MCP / Agent Workflow Support
Most AI visibility tools stop at reporting. AIbrandscan helps your team move from reporting to execution. With MCP and agent workflows, your visibility data can become part of the actual work: onboarding, analysis, content planning, SEO fixes, technical improvements, and client reporting.
Set up new projects faster with an AI agent. After logging into AIbrandscan and authenticating through MCP, your agent can help fill in the project name, website URL, target keywords, product description, competitors, markets, and languages. This makes onboarding faster and more accurate, especially for agencies managing multiple brands or teams setting up several projects.
Connect SEO data with AI visibility data. With Google Search Console integration, your agent can review search performance, find pages with declining clicks, detect keyword opportunities, and compare that data with AIbrandscan visibility gaps.
Turn AI visibility gaps into tasks your team can execute. When AIbrandscan detects that your brand is missing from important AI answers, your agent can help turn the findings into specific actions: create a comparison page, improve a use-case page, add FAQs, update schema, rewrite positioning, or prepare a content brief.
Use scan results to generate better content briefs. Your agent can take prompts where competitors win and create briefs for best tools pages, alternative pages, competitor comparisons, category pages, and FAQ sections.
Let agents connect AI visibility findings with technical SEO improvements. They can identify pages that need clearer structure, better metadata, internal links, schema markup, or more extractable answer-style content.
Use weekly AIbrandscan results inside your reporting workflow. Your agent can summarize what changed, highlight new competitor wins, explain visibility drops, and prepare a weekly GEO report for your team or clients.
See what AI says about your brand, where competitors win, and turn every finding into GEO tasks your agent can move forward.