Agent-readiness report, Software and SaaS
Is Llmpulse agent-ready?
No class of agent can use Llmpulse today: they cannot call it as a tool.
llmpulse.ai, Shopify, last scanned yesterday, on 13.11.2026
Agent classes working
0/3
Score history
▲ 313 scans since 21.09.2026
- 1
- Blocking agents
- 5
- Weak spots
- 20/26
- Checks passed
What costs Llmpulse the most
0 of 3 agent classes work
- !Answer engines & research agents
- ✕MCP tool-callers
- !Summarisers & knowledge agents
- ✕
No MCP endpoint to call
Tool-calling assistants have no function to call, so they can only scrape.
Blocker - ✕
No stated policy for automated access
Cautious platforms will not act on the site without an explicit permission signal.
Improvement - !
Content carries a date
Models prefer sources they can date, and drop undated pages from time-sensitive answers.
Improvement - !
HTML payload size
Oversized HTML fills the model's context before it reaches the content.
Improvement - ✕
Agents not published in DNS
Agents cannot find your agents by looking up your domain.
Polish
✓20 checks passed, 1 more to fix+−
Free dashboard
Track llmpulse.ai and watch it climb.
Weekly re-scans, the fix for every gap above, and the rank moves of your rivals.
- 6 optimization suggestions, ready today
- Weekly re-scan with alerts on every change
- Rank and rival moves in one view
Your dashboard
We email you a sign-in link and add llmpulse.ai to your dashboard.
- Re-scan weekly
- Fixes listed
- Rivals tracked
Check a rival
5 domains free, unlimited with a plan.
Machine interfaces
Llmpulse exposes 7 of 8 interfaces agents look for: AI crawler access, Bot user-agent handling, Server-rendered content, llms.txt, API or feed, Organisation markup, Machine-readable contact.
Locked
All 8 interfaces and 26 checks for llmpulse.ai
See which interface is missing, what each check looked for, and what to change to pass it. Free account, no card.
View detailed signalsE-commerce & product feeds
Measured separately, not part of the public score or rank
Add-on score
25/100
- 7
- Blocking agents
- 3
- Weak spots
- 2/12
- Checks passed
- ✕
Products have no structured data
Agents cannot tell what is for sale, so the catalogue is invisible to them.
- ✕
Not on Qomvia Market
Agents using Qomvia cannot get an agent price or a payable order from this shop.
- ✕
Products have no stable identifiers
Agents cannot match your product to the same product elsewhere, so it drops out of comparisons.
- ✕
No reachable cart URL
An agent cannot hand a filled basket back to the shopper.
- ✕Autonomous shopping agents
- ✕Feed & API integrators
- !Price-comparison & monitoring bots
- ✕Agent payment protocols
- ✓Catalogue access100%
- ✕Product data legibility27%
- ✕Agent-commerce protocols0%
- ✕Checkout traversability30%
The seal
Agent-Ready
Agents can complete the site's main task without a human. Paste this line where you want the seal: it is drawn at runtime, so it upgrades itself when you improve and removes itself if a deploy closes the site to agents.
<script src="https://qomvia.com/badge.js" data-slug="llmpulse-ai" async></script>There is no image URL and no static version. The seal exists only as markup we serve per request, which is what makes it worth displaying.
- Agent-Ready Champion90+
- Agent-Ready75+
- Agent-Readable60+
- In Progress40+, dashboard only
Questions where AI models name Llmpulse
- What are the best tools to track how a brand is mentioned and recommended by AI assistants like ChatGPT, Claude and Gemini?named, position hidden
- How can I find out whether ChatGPT, Claude or Gemini recommends my company when potential customers ask for products in my category?named, position hidden
- 1. Which AI visibility monitoring platform should a small or medium-sized company use to track brand mentions, competitors and recommendations across LLMs?named, position hidden
- best tool to check if AI agents can read my websitenamed, position hidden
Llmpulse and AI agents: common questions
Is Llmpulse readable by AI agents?+−
Llmpulse (llmpulse.ai) scores 85 out of 100 for agent readiness, grade B, measured yesterday, on 13.11.2026. 0 of 3 agent classes we test can use the site, and 1 check currently block agents outright.
What stops agents from using llmpulse.ai?+−
The heaviest problems are: No MCP endpoint to call; No stated policy for automated access; Content carries a date; HTML payload size; Agents not published in DNS. Each one is scored from a public HTTP response, and the fix for each is listed in the signed-in report.
How is the Llmpulse agent-readiness score calculated?+−
Qomvia fetches public pages of llmpulse.ai as an AI agent would and runs the core checks every site gets across 6 groups: Machine access, Content legibility, Discovery surface, Identity & policy, Agent-facing performance, Agent protocols. Checks are weighted by how much an agent loses when they fail, and the score is expressed out of 100. E-commerce & product feeds checks are scored separately (25/100) and do not affect the public score or rank.
How often is this score updated?+−
Public scores are re-checked when the site is re-scanned; tracked domains are re-scanned weekly and their owners are alerted when a check regresses. This page shows the scan from yesterday, on 13.11.2026.
Compare and keep reading
Scores are computed from public HTTP responses only. We never submit forms, never attempt a purchase and never bypass a bot challenge. Disagree with a result? Request a correction or opt this domain out.