# Great Question: 18 point Door Gap
- Site: greatquestion.co
- Scanned: 2026-09-08
- Scan type: Basic scan
- Business type: b2b_saas
- Report: https://www.seconddoor.io/r/greatquestion-xb6h93
- Scanner version: 12
Pricing and signup are discoverable, but no API documentation or programmatic access path exists for agents to obtain keys or integrate.
## Scores
| Measure | Score |
| --- | --- |
| Humans | 77/100 |
| Agents | 59/100 |
| Composite | 68/100 |
| Door Gap | 18 points |
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 9 of 15 requests, but could not find out what pages exist. It came up empty on 5 other checks too.
- 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
- ok      read the site's own guide for language models
- missing find out what pages exist
- ok      find a contact route for machines
- missing find a published agent interface
- missing find an agent plugin manifest
- missing find out whether verified agents are recognised
- ok      read the homepage as data rather than as a page
- missing find a machine readable API spec
- missing read the developer documentation
- ok      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. **No developer documentation is linked from the homepage, in raw HTML or the rendered page, so integration starts with a search engine.** (programmatic_onboarding)
2. **No API documentation or endpoint specification is published, blocking agents from obtaining keys or integrating the product.** (programmatic_onboarding)
3. **No MCP manifest or AI plugin definition is published, preventing agents from discovering what actions the product supports.** (agent_aware_instrumentation)
The evidence and the recommended fix for each are on the report page: https://www.seconddoor.io/r/greatquestion-xb6h93
## Files generated from this scan
- **Pricing as Offer structured data** at `pricing page`, 20 minutes, developer. Verify: The next scan reads Offer structured data with a price and currency on the pricing page, and the pricing check credits it.
- **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.
- **pricing.md** at `/pricing.md`, 20 minutes, no developer needed. Verify: The next scan fetches /pricing.md as text and records pricing as machine readable.
- **sitemap.xml** at `/sitemap.xml`, 20 minutes, no developer needed. Verify: The next scan fetches /sitemap.xml, finds a urlset, and the sitemap 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/greatquestion-xb6h93
## The agent door
- **machine_discoverability** 98/100. AI crawlers are explicitly allowed in robots.txt, the homepage serves normally to browsers and HTTP clients, and llms.txt is published. Schema.org markup includes SoftwareApplication and Offer types.
- **programmatic_onboarding** 10/100. No API documentation is linked from the homepage or accessible in raw HTML. No OpenAPI spec exists at any of the 6 standard paths checked. An agent cannot discover how to obtain an API key, what endpoints exist, or how to integrate without.
- **pricing_legibility** 85/100. 10 prices are readable without JavaScript on the pricing page, ranging from $15 to $15,000. Per-seat pricing is clear. An enterprise tier routes to sales, which is standard practice.
- **agent_aware_instrumentation** 8/100. No MCP manifest is published at any of the 3 standard paths checked. No AI plugin definition exists. The site offers no machine-readable protocol for agents to discover capabilities or invoke actions beyond what a browser can do.
- **machine_fetchable_trust** 85/100. security.txt is published at /.well-known/security.txt with a contact route for machines. The homepage responds to automated requests with HTTP 200 and serves structured data.
- **commercial_rails** 65/100. Prices are published in raw HTML on the pricing page and readable without JavaScript. A self-serve signup form is 2 steps from the homepage and asks for no payment information.
## The human door
- **steps_to_first_value** 80/100. The primary call to action, 'Start free study with AI', reaches a signup form in 2 steps from the homepage. The form does not ask for payment. A visitor can create an account and begin using the product without additional friction, though.
- **required_fields** 73/100. The signup form has 7 fields total, 4 of which are required: Name, work email, password, and terms acceptance. Google single sign-on is offered as an alternative, which reduces friction for returning users.
- **verification_walls** 80/100. No email verification, phone verification, or identity verification requirement appears on the signup page. Google single sign-on is available, which bypasses email verification entirely.
- **error_recovery** 76/100. 4 of 7 form inputs carry validation rules, such as email format or password strength. The page includes 2 inline error containers where validation messages can appear.
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Scored by SecondDoor. Method: https://www.seconddoor.io/methodology
Scan another site: https://www.seconddoor.io
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