AI Visibility Scan
Test buying-intent prompts across AI answer engines and see whether your brand is mentioned, missing, accurately described, and positioned where customers can find it.
One MCP connection gives your agent fresh AI Brand Scan reports, so it can find visibility gaps and improve how your brand appears in Google AI, ChatGPT, and AI search.
Good running shoes for beginners should offer soft cushioning, stable support, and an easy daily fit. AI answers often surface Nike, ASICS, and Brooks first because those competitors are cited across more review guides and comparison pages.
Runner's World +2Here are the signals the answer used: cushioning depth, stability notes, review citations, and brand mentions across buying guides.
Find why competitors are winning this answer
Looks like the answer trusts buying guides more than your site. I'll turn the scan into fixes.
Analyzing AI Overview
Writing visibility fixes
Next: publish the comparison page and rescan.
The AI search shift
Buyers now ask AI before they visit your website. If the answer is outdated, vague, or led by competitors, you lose the visit before it happens. Let your agent fix it.
Buyer Questions
AI Brand Scan
MD report
MCP
Codex fixes the report
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Features
Test buying-intent prompts across AI answer engines and see whether your brand is mentioned, missing, accurately described, and positioned where customers can find it.
Use AIbrandscan data inside agent workflows, so tools like Codex, Claude Code, and other AI agents can turn scan results into GEO tasks, content briefs, and reports.
Turn visibility gaps into practical optimization tasks for best tools pages, comparison pages, alternatives, FAQs, structured content, and homepage positioning.
Monitor selected prompts every week so you can see new mentions, lost mentions, competitor movement, sentiment changes, and progress after publishing new content.
Find out which competitors AI recommends instead of you, which prompts they win, how they are described, and which market gaps you can target.
AIbrandscan is an agent-first visibility system that scans AI answers, compares competitors, explains what is happening, and recommends what to improve next.
View all featuresFAQ
AIbrandscan is an agent-first AI search visibility platform. It helps you understand how your brand appears inside AI-generated answers from tools like ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok, and Google AI Overviews. Instead of only showing where your website ranks in Google, AIbrandscan shows whether AI systems mention your brand, how they describe it, which competitors they recommend, and what content gaps may be limiting your visibility. The agent then turns those findings into practical GEO recommendations you can use to improve your presence in AI search.
Traditional SEO tools help you track rankings, traffic, keywords, backlinks, and technical SEO. AIbrandscan focuses on a different layer of discovery: how your brand appears inside AI answers. Your website may rank well in Google but still be missing from ChatGPT, Perplexity, Gemini, Claude, Copilot, or AI Overviews when people ask for product recommendations, comparisons, alternatives, or buying advice. AIbrandscan helps you find those gaps and understand what to improve for Generative Engine Optimization.
AIbrandscan tests relevant prompts across AI answer engines and analyzes whether your brand appears in the responses. It can track brand mentions, competitor mentions, answer position, sentiment, source patterns, and how accurately AI systems describe your product or service. The goal is to show how visible your brand is when potential customers ask AI tools questions like “best tools for…”, “alternatives to…”, “compare…”, or “which company should I choose for…”.
Agent-first means AIbrandscan is designed to do more than display static reports. The AIbrandscan agent can run prompts, compare answers, detect competitors, interpret results, monitor changes, and recommend next actions. Instead of leaving you with raw data, the agent helps answer the more important question: “What should we improve next to increase our AI search visibility?”
Yes. AIbrandscan can help identify which competitors appear more often, which prompts they win, how AI systems describe them, and what topics or pages may support their visibility. This helps you understand whether your brand needs stronger category pages, comparison pages, alternative pages, use-case content, clearer positioning, FAQs, pricing information, or more structured content that AI systems can understand and cite.
AIbrandscan turns AI visibility gaps into practical Generative Engine Optimization recommendations. These may include creating “best tools” pages, competitor comparison pages, alternative pages, use-case pages, technical FAQs, stronger homepage copy, clearer product positioning, structured data improvements, and content briefs based on real AI search prompts. The goal is to help your team move from visibility data to specific actions that can make your brand easier for AI systems to understand, compare, cite, and recommend.
Yes. AIbrandscan is designed for multilingual AI visibility tracking, not only English or US-focused searches. You can analyze how your brand appears in different languages and markets, including Polish, German, French, Spanish, Italian, and other regions. This matters because AI systems may recommend different competitors, use different sources, and describe your category differently depending on the language, market, and local search context.
No platform can guarantee that ChatGPT, Perplexity, Gemini, Claude, Copilot, Grok, or Google AI Overviews will recommend a specific brand. AI-generated answers can change depending on the prompt, model, sources, freshness, and user context. AIbrandscan helps you measure your current AI visibility, understand where competitors are winning, and improve the content, structure, and positioning signals that make your brand easier for AI systems to understand, cite, and recommend.
Run your first scan, identify gaps, and turn the results into an action plan.