Overall AI readiness score
A combined result across all audit signals.
Overall AI readiness score
A combined result across all audit signals.
Overall AI readiness assessment
HeroHunt.ai is a legitimate AI recruiting and people search platform. Its llms.txt is accessible, well-formatted, and consistent with the homepage. No content policy issues found. Approved.
llms.txt is accessible and contains 1,080 tokens. No accessible llms-full.txt was detected, so deeper context still has to be assembled from regular pages. No separate ai.txt policy was detected; it is optional, but can clarify training, retrieval, and attribution preferences.
robots.txt is available. 9 of 11 tracked AI bots are not blocked, while 2 receive a prohibition. Declared sitemaps: 1. The homepage exposes Schema.org types Organization, WebSite; 10 OpenGraph tags were found and markup completeness is 90%.
The mobile Lighthouse profile adds Performance 60/100, Accessibility 95/100, Best Practices 96/100, SEO 100/100, and experimental Agentic Browsing 33/100. These signals have a limited weight: they complement rather than replace llms.txt, robots.txt, and structured-data checks.
A mobile Lighthouse measurement. Google’s experimental Agentic Browsing category is explained separately and does not replace the broader llmsmap AI-readiness score.
Performance
Accessibility
Best Practices
Technical SEO
Agentic Browsing
Mobile performance is 60/100, with the largest visible content block appearing in 12.3 s and the browser main thread blocked for 220 ms. Layout shift was 0.003. The main thread is where the browser runs JavaScript, calculates layout, and paints the page; long work there delays both user input and browser-agent actions.
Accessibility scored 95/100, Best Practices 96/100, and technical SEO 100/100. The experimental Agentic Browsing category scored 33/100. It measures signals Google currently tests for software agents and is shown separately from the llmsmap AI-readiness score.
Split long JavaScript tasks, defer non-critical scripts and styles, and shorten blocking request chains. This helps the primary content appear sooner and makes controls usable earlier.
Remove unused CSS and JavaScript, load heavy widgets on demand, and limit third-party scripts. Less code means less parsing and background work on the device.
Serve correctly sized modern formats, prioritise the primary visual, and lazy-load content below the first viewport.
Improve server response time, remove unnecessary redirects and repeat downloads, and use compression, caching, and selective preconnect hints.
First content
Main content
Layout stability
Blocking time
Visual speed
Machine-readable files, crawler policy, discovery, and homepage markup.
Full version was not found
ai.txt file was not found
1 sitemap found
Types: Organization, WebSite
10 OG tags found
Based on robots.txt analysis
Declared discovery routes for crawlers and agents.
Social preview metadata found on the homepage.
og:titleHeroHunt.ai: AI Recruiter for Sourcing and Outreachog:descriptionHeroHunt.ai is an AI recruiter that searches up to 1 billion public profiles, screens candidates and contacts them by email and LinkedIn. 8-day free trial.og:urlhttps://www.herohunt.ai/og:site_nameHeroHunt.aiog:localeen_USog:imagehttps://www.herohunt.ai/_assets/images/61f3c95c1d3b3a7842503e62_Hero-logo-white-big-website.pngog:image:width1200og:image:height630og:image:altHeroHunt.ai: AI Recruiter for Sourcing and Outreachog:typewebsiteStructured entities and properties exposed on the homepage.
nameHeroHunt.aiurlhttps://www.herohunt.aidescriptionAI-powered talent search and engagement platform. Find 1 billion candidates worldwide with automated search, verified contact details, and hyper-personalized outreach.logohttps://www.herohunt.ai/_assets/images/616d552cb3acb1dff5ebb5a7_HeroHunt-icon-logo-medium.pngsameAshttps://www.linkedin.com/company/herohunt-ai, https://www.youtube.com/@herohuntaipublisherhttps://www.herohunt.ai# HeroHunt People Search API
> Enterprise-grade people search and enrichment API. Search for talent profiles across GitHub, StackOverflow, and the web using natural language queries.
## Getting Started
Sign up at https://www.herohunt.ai/app/api/sign-up to get your API key.
API documentation: https://www.herohunt.ai/people-search-api
## Python SDK
Official typed Python SDK. Install with `pip install herohunt`.
```python
from herohunt import HeroHunt
client = HeroHunt() # reads HEROHUNT_API_KEY from env
result = client.people_search.search(
"Senior React engineers in Berlin with TypeScript",
max_results=50,
enrich=True,
)
for profile in result.results:
print(profile.first_name, profile.headline, profile.profile_url)
```
Sync (`HeroHunt`) and async (`AsyncHeroHunt`) clients share the same surface.
Typed errors: `AuthenticationError`, `InsufficientCreditsError`, `RateLimitError`, `BadRequestError`, `ServerError`.
PyPI: https://pypi.org/project/herohunt/
Source: https://github.com/herohunt-ai/herohunt-python
## MCP Server (Model Context Protocol)
HeroHunt exposes its People Search API as a hosted MCP server. Connect any MCP-compatible client (Claude Desktop, Cursor, ChatGPT Desktop, VS Code) in one step.
Endpoint: https://api.herohunt.ai/api/v1/mcp
Transport: Streamable HTTP (stateless)
Auth: Bearer token or x-api-key header
### Quick Setup (Claude Desktop / Cursor)
Add to your MCP config:
```json
{
"mcpServers": {
"herohunt-people-search": {
"url": "https://api.herohunt.ai/api/v1/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
```
Or install the npm package for stdio mode:
```
npx herohunt-mcp
```
## MCP Tools
### people_search - Search for people profiles
Natural language search across GitHub, StackOverflow, and the web.
Parameters: query (string), filters (object, optional), maxResults (number, 1-500, default 100), enrich (boolean), per_page (number, 1-50, default 10)
Credits: 1 credit per reserved slot up front (slots = min(maxResults, availableCredits)). Enrichment (enrich: true): +1 credit per LinkedIn profile returned with an email or phone.
### people_search_paginate - Paginate existing search
Fetch more results for a previously created search.
Parameters: searchId (string, required), page (number), per_page (number, 1-50), enrich (boolean)
Credits: Free (the maxResults reservation was billed on the creation call). With enrich: true, +1 credit per LinkedIn profile enriched on the page.
### account_usage_get - Get account usage
Returns plan, total/used/remaining credits, rate limit, and next credit reset date.
Parameters: none
Credits: Free
### account_searches_list - List past searches
Paginated history of past searches with first-page profiles.
Parameters: page (number), limit (number, max 100)
Credits: Free
### account_upgrade_link - Get upgrade URL
Returns a dashboard URL prefilled with account email for plan upgrades.
Parameters: none
Credits: Free
### account_billing_portal_link - Get billing portal URL
Returns Stripe Customer Portal URL for managing subscriptions and payment methods.
Parameters: none
Credits: Free
### api_keys_list - List API keys
Lists API key prefixes, scopes, and last-used timestamps.
Parameters: none
Credits: Free
### api_keys_create - Create API key
Create a new API key. Full key material is returned only once.
Parameters: name (string, required), scopes (array, optional), expiresAt (ISO-8601 datetime, optional)
Credits: Free
### api_keys_rotate - Rotate API key
Deactivate an existing key and issue a new one with the same scopes.
Parameters: keyId (string, required)
Credits: Free
### api_keys_revoke - Revoke API key
Permanently revoke an API key. Irreversible.
Parameters: keyId (string, required)
Credits: Free
## REST API
POST /api/v1/people-search/search - Search for people profiles
Auth: x-api-key header
Content-Type: application/json
Example:
```json
{
"query": "Senior Java developers in Berlin with Spring Boot experience",
"maxResults": 50,
"enrich": true,
"per_page": 10
}
```
## Pricing
Credits-based pricing. See https://www.herohunt.ai/app/api/dashboard for current plans.
## Contact
Email: info@herohunt.ai
Website: https://www.herohunt.ai
API Docs: https://www.herohunt.ai/people-search-api
Sites with a close AI-readiness score — compare how they set up llms.txt and markup.