Is Your Brand Visible
to AI Agents?
AI shopping agents are replacing Google searches. They don't click your ads. They don't browse your pages. They evaluate your data and decide in milliseconds. Brands that are invisible to these agents are already losing sales they'll never know about. Pacestack reveals exactly how agents see you — and what to fix first.
No signup required · Results in ~15 seconds · 20+ checks analyzed
"We scanned Amazon.com. It scored a D."
"AI agents recommended a product that no longer exists."
"A $38 serum was quoted at $18 by shopping agents."
Three Steps to Agent Readiness
Enter Your URL
We scan your site for 20+ signals that determine how AI agents discover, understand, and recommend your brand.
Get Your Score
See your Agent Readiness Score (0-100) with a letter grade and detailed breakdown across 4 categories.
Preview a sample report →Fix What Matters
Get prioritized, actionable recommendations to make AI agents your best sales channel.
Your Next Customer Might Be an AI Agent
Amazon launched an MCP server
so AI agents can buy programmatically
135,000+ AI agents
are browsing the web autonomously
The IAB calls it 'B2A Marketing'
Business to Agent
70% of consumers
would welcome AI agents shopping for them
Your SEO strategy was built for Google. But AI agents don't click ads, don't read banners, and don't impulse buy. They evaluate structured data, API accessibility, and product metadata. The brands that optimize for agents now will own the next decade of commerce.
Sources: McKinsey · Google AI Mode · Amazon MCP · IAB
Who This Is For
If you sell products or services online, AI agents are already forming opinions about your brand.
E-commerce Brand Owners
See how ChatGPT and Claude recommend your products vs. competitors
D2C Founders
Stop losing sales to brands with better structured data
Digital Marketing Managers
Add agent optimization to your SEO strategy before competitors do
Shopify & WooCommerce Operators
Audit your store’s AI visibility in 15 seconds
Agency Strategists
Offer AI agent optimization as a new service line to clients
Product & Growth Teams
Quantify your brand’s presence in AI-driven product discovery
20+ Agent Readiness Signals
Structured Data
30 pointsSchema.org markup, JSON-LD, product data completeness, OpenGraph tags, meta descriptions
“Can agents understand what you sell?”
Agent Accessibility
25 pointsAI crawler permissions, JavaScript dependency, response time, semantic HTML, sitemap
“Can agents actually reach your content?”
MCP Readiness
20 pointsModel Context Protocol server, API documentation, product feeds, e-commerce platform detection
“Can agents interact with your data?”
AI Perception
25 pointsPremiumWhat Claude, ChatGPT, and Perplexity actually say about your brand when asked to recommend products
“What do agents actually think of you?”
How AI Perception Works
We don't guess what AI agents think. We ask them. Our AI Perception engine queries Claude, ChatGPT, and Perplexity with prompts like “Recommend the best products in [your category]” — then analyzes whether they mention your brand, know your pricing, and position you accurately against competitors.
We measure 5 dimensions: brand recognition, product knowledge, pricing accuracy, brand positioning, and AI confidence level (how much the model hedges when talking about you).
The results are often surprising — and always actionable.
Choose Your Level of Insight
Quick Check
- Agent Readiness Score (0-100)
- Letter grade (A through F)
- Top 3 priority recommendations
- Category-level breakdowns
The Complete Diagnosis
- Everything in Quick Check
- All 20+ individual check details
- AI Perception analysis
- Competitor mention tracking
- Specific implementation instructions
- Downloadable PDF report
Competitive Intelligence
- Everything in Complete Diagnosis
- Your brand vs. 3 competitors
- Side-by-side agent perception
- Gap analysis and priority plan
- Executive summary for stakeholders
Agent-Ready in 7 Days
- Everything in Competitive Intelligence
- Full implementation by our team
- Schema.org markup added to your site
- Robots.txt & sitemap optimization
- 30-day post-launch support
Frequently Asked Questions
Is AI shopping actually happening right now?
Yes. Google launched AI Mode in Search, ChatGPT now has shopping features that recommend products, and Amazon built an MCP server so AI agents can browse and buy programmatically. McKinsey estimates AI-influenced commerce will grow 25%+ annually. This is not theoretical — it’s happening today.
Can’t I just check all this myself?
Technically, yes. But the 20+ checks span structured data parsing, robots.txt analysis, MCP protocol detection, API discovery, Schema.org validation, and more. Manually auditing all of this takes hours. Pacestack does it in 15 seconds and gives you prioritized, actionable fixes.
What if I score well? Do I still need Pacestack?
Agent readiness is not a one-time fix. AI platforms constantly update their protocols, crawling behavior, and recommendation algorithms. A score of 85 today could drop to 60 next month if Google changes how AI Mode interprets structured data. Our monitoring keeps you ahead.
Who built this? Why should I trust a tool I’ve never heard of?
Pacestack was built after extensive research into how AI agents evaluate brands for purchase recommendations. Our scanner methodology is transparent — every check is documented, every recommendation is specific, and every score is reproducible. We’ve scanned thousands of sites since launch.
How is this different from an SEO audit?
SEO audits optimize for Google’s search crawler. AI agents are fundamentally different — they evaluate structured data, query APIs, check MCP servers, and form opinions about brands. A site can score 95 on SEO and 20 on agent readiness because the signals are completely different.
What is the AI Perception category?
We query leading AI models (Claude, ChatGPT, Perplexity) and ask them to recommend products in your category. Then we analyze whether they mention your brand, know your pricing, and position you accurately. This reveals exactly what AI agents tell consumers about you — right now.
What is MCP and why does it matter?
MCP (Model Context Protocol) is a standard that lets AI agents directly query your product catalog in real-time. Without it, agents rely on stale training data that may contain wrong prices, discontinued products, or missing information. Amazon already has an MCP server. It’s the API layer for AI commerce.
How quickly will I see results after making changes?
Structured data and accessibility improvements are picked up by AI crawlers within days. MCP server detection is immediate. AI Perception changes take longer (weeks to months) since models need to re-crawl and retrain. The sooner you start, the sooner you compound the advantage.
From Our Research
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