# PEEC: 39 point Door Gap
- Site: peec.ai
- Scanned: 2026-09-08
- Scan type: Basic scan
- Business type: b2b_saas
- Report: https://www.seconddoor.io/r/peec-yu95v8
- Scanner version: 12
Pricing is entirely gated behind a sales call, blocking both human and agent evaluation of cost.
## Scores
| Measure | Score |
| --- | --- |
| Humans | 77/100 |
| Agents | 38/100 |
| Composite | 58/100 |
| Door Gap | 39 points |
| Percentile | 32nd |
The human score is the mean of the four human dimensions, the agent score the mean of the six agent dimensions, and the Door Gap the difference between them.
## What the machine actually did
The agent got through 8 of 15 requests, but could not read the site's own guide for language models. It came up empty on 6 other checks too. That is enough missing for a machine to give up before it reaches a purchase.
- ok      reach the site at all
- ok      find out whether machines are welcome
- ok      ask whether the door opens for requests carrying the AI crawlers' names
- missing read the site's own guide for language models
- ok      find out what pages exist
- missing find a contact route for machines
- ok      find a published agent interface
- missing find an agent plugin manifest
- missing find out whether verified agents are recognised
- missing read the homepage as data rather than as a page
- missing find a machine readable API spec
- ok      read the developer documentation
- missing read the prices without running JavaScript
- ok      find a comparison page worth citing
- ok      walk the way a visitor would, to a signup form or a product
## Top issues
1. **Pricing is entirely hidden behind a sales contact form, preventing agents and evaluators from computing cost before engagement.** (pricing_legibility)
2. **No security.txt is published, so a machine has no documented route to report a problem.** (machine_fetchable_trust)
3. **No OpenAPI specification is published, requiring clients to reverse engineer the API from prose documentation.** (programmatic_onboarding)
The evidence and the recommended fix for each are on the report page: https://www.seconddoor.io/r/peec-yu95v8
## Files generated from this scan
- **A pricing page that states a price** at `/pricing.md`, 1 hour, no developer needed. Verify: The next scan reads at least one price in the raw HTML of the pricing page.
- **robots.txt rules for AI crawlers** at `/robots.txt`, 10 minutes, no developer needed. Verify: The next scan reads robots.txt and finds every search and agent crawler allowed, none of them kept off product or pricing paths.
- **Machine interfaces: where you stand** at `notes`, 10 minutes, no developer needed. Verify: The next scan finds the interface you published answering at its well-known path, and that check passes.
- **Organization structured data** at `homepage`, 15 minutes, developer. Verify: The next scan reads Organization and WebSite nodes in the homepage JSON-LD and the structured data check passes.
- **security.txt** at `/.well-known/security.txt`, 10 minutes, no developer needed. Verify: The next scan fetches /.well-known/security.txt as text and the security.txt check passes.
- **llms.txt** at `/llms.txt`, 15 minutes, no developer needed. Verify: The next scan fetches /llms.txt as text and the llms.txt check passes.
Each file is written from what this scan found on the site. The content is in the JSON once the evidence is opened: https://www.seconddoor.io/api/reports/peec-yu95v8
## The agent door
- **machine_discoverability** 74/100. No AI crawler is blocked by robots.txt or user agent rules, and a real browser is served the page normally. The sitemap lists 185 URLs. However, no schema.org markup appears on the homepage, and comparison pages are the only structured.
- **programmatic_onboarding** 16/100. Endpoint examples are shown.
- **pricing_legibility** 12/100. The pricing page publishes no prices in raw HTML or rendered output. Three plan names are listed (Starter, Pro, Advanced) but all tiers route to a sales contact form. An evaluator cannot compute total cost without a conversation with sales.
- **agent_aware_instrumentation** 58/100. An MCP manifest is published at https://docs.peec.ai/.well-known/mcp.json, enabling Claude and other MCP clients to discover and call the API. No OpenAPI spec, ai-plugin.json, or Web Bot Auth signals are present.
- **machine_fetchable_trust** 40/100. No security.txt file is published at the standard path. The homepage answers automated requests normally. Trust signals are minimal, limiting an agent's ability to verify the service is legitimate before integration.
- **commercial_rails** 25/100. A self serve signup form is 2 steps from the homepage and requires no payment information. However, the pricing page routes all tiers to sales without publishing any prices, forcing a human conversation before cost can be known.
## The human door
- **steps_to_first_value** 80/100. The signup form is 2 steps from the homepage. A visitor reaches working access via Google, Microsoft, or SSO without entering an email or password. The form itself contains only 1 field and requires 0 of them, so friction is minimal.
- **required_fields** 98/100. The signup form asks for 1 field and requires 0 of them. Three sign in options are offered (Google, Microsoft, SSO), allowing a visitor to bypass form entry entirely. No payment information is requested at signup.
- **verification_walls** 80/100. No verification requirement appears on the signup page. Single sign on options bypass email verification entirely. The form carries no CAPTCHA, phone verification, or email confirmation step.
- **error_recovery** 50/100. The signup form has 1 input with a description attribute and inline error containers are present on the page. However, 0 of 1 inputs carry validation rules, so the browser cannot signal errors before submission.
---
Scored by SecondDoor. Method: https://www.seconddoor.io/methodology
Scan another site: https://www.seconddoor.io
Rate an issue or this report: POST https://www.seconddoor.io/api/feedback, or the rate_fix tool on https://www.seconddoor.io/api/mcp