For e-commerce stores in the age of AI agents

Every store is findable. Yours should be preferred.

Your platform already makes every store findable by AI agents — agents.md, UCP, and MCP are deployed automatically. AgentPulse measures and fixes why AI agents pick your competitors instead of you.

✓ Works with ChatGPT Shopping ✓ Perplexity-ready ✓ Gemini-compatible ✓ Built on the native agentic stack ✓ No code required

Why this matters

Every store is now findable. Now what?

In 2026, the platform rolled out agents.md, UCP, and MCP endpoints for every store. AI shopping agents — ChatGPT, Gemini, Perplexity — can now discover any merchant automatically. The discovery problem is solved.

But discovery isn’t preference. When an agent compares ten stores selling the same product, it picks the one whose catalog signals quality, trust, and completeness most clearly. The others get listed — but never recommended. AgentPulse shows you exactly where your signals fall short and fixes the gaps so the agents choose you.

20 checks across 4 weighted categories
3 AI models tested live as buyer agents

Before & after

Same product. One the agent actually recommends.

A real example. On the left, a store with bare product data. On the right, the same store after AgentPulse — the highlighted lines are what made the difference to the AI buyer agent.

Before

Organic face serum. 30 ml. Contains hyaluronic acid and vitamin C. Cruelty-free.

Generic description. The AI finds you, lists you — but recommends someone else.

After AgentPulse

Organic face serum. 30 ml. Contains hyaluronic acid and vitamin C. Cruelty-free.

Formulated by dermatologists for sensitive, acne-prone skin. Cold-pressed in small batches in Portland, OR.

  • Clinical study: 89% of users saw visible results in 14 days.
  • A considered alternative to Drunk Elephant and The Ordinary.

Dermatologist-founded. B Corp certified since 2021.

Now the agent can answer “dermatologist-made, clinical proof, for sensitive skin” — with you.

What you get

Three tools. One goal: agents pick you.

AgentPulse doesn’t guess what matters. It measures the exact signals AI buyer agents use to rank, compare, and recommend — then fixes what’s missing.

20 checks. One score.

Description quality, brand signals, structured data, transactability. Weighted by what agents actually use to decide. Your Agent-Preference Score tells you where you stand — and exactly what to fix.

Ask the agents directly.

The Agent Fingerprint pits your products against real competitors, judged by ChatGPT, Gemini, and Claude acting as buyer agents. You see who they pick — and why.

Fix gaps. You approve every change.

The Optimizer drafts AI-informed improvements based on facts from your catalog. Side-by-side diffs. Mandatory review gate. Nothing touches your store without your explicit approval.

How it works

Scan. Test. Fix.

01

Scan

Run the audit. 20 checks score your catalog across description quality, brand signals, structured data, and transactability — in under a minute.

02

Test

The Agent Fingerprint shows you which AI agents pick your products when compared to real competitors — and which skip them.

03

Fix

The Optimizer drafts improvements grounded in your real catalog data. You review and approve each one before it touches your store.

Pricing

See where you stand. Improve from there.

Free

$0 / month

No credit card required

  • 6 core checks
  • Up to 25 products
  • Agent-Preference Score
  • Score trend over time
Install Now
Most popular

Pro

$29 / month

7-day free trial — cancel anytime

  • All 20 checks
  • Agent Fingerprint (3 AI models)
  • Optimizer with review gate
  • Up to 500 products
  • Email support
Try Pro

Business

$79 / month

7-day free trial — cancel anytime

  • Everything in Pro
  • Unlimited products
  • Continuous monitoring
  • Priority support
Try Business

Better together

Two apps. Two halves of agent preference.

AI agents decide based on two things: how well your data is structured and how clearly your brand is positioned. AgentPulse handles the first. VibeTags handles the second. Together, they cover the full preference stack.

AgentPulse

The technical layer.

Audits 20 data-quality signals across your catalog: descriptions, images, SEO, taxonomy, structured data, policies, checkout readiness. Tests your products live against ChatGPT, Gemini, and Claude. Drafts fixes you approve.

  • Agent-Preference Score (0–100)
  • Agent Fingerprint — real AI model testing
  • Optimizer — guided, fact-based fixes

Answers: “Is my data good enough for agents to pick me?”

VibeTags

The brand layer.

Writes your brand positioning — who you are, who it’s for, what makes you different, and when to recommend you — into the structured data and product descriptions that AI assistants actually read.

  • Six-dimension brand positioning
  • JSON-LD + visible storefront block
  • AI Auto-Fill powered by Gemini

Answers: “Does the AI know what my brand stands for?”

Run AgentPulse first to fix your data foundation. Then add VibeTags to give AI the emotional context — why to recommend you, not just that they can find you.

Explore VibeTags

Ready to see what AI agents think of your products?

Install AgentPulse, run a scan, and find out in under a minute whether the agents pick you — or your competitors.

Install on Shopify