👋 Welcome to Humetric
Humetric helps turn your resume into an AI-searchable profile. It only takes about 2 minutes. Nothing will be public until you approve it.
$ curl "$HUMETRIC/api/v1/people" \ --get --data-urlencode "q=backend engineer taipei" \ -H "Authorization: Bearer $API_KEY" { "query": "backend engineer taipei", "mode": "hybrid", "results": [ { "slug": "profile-x1a9b2", "headline": "Senior Backend Engineer", "skills": ["Python", "Kubernetes", ...], "contact_status": "open_to_offers", "relevance": 0.03278 } ]}See how your profile becomes discoverable by AI — while you stay in control of what gets shared.
Submit your résumé once. Humetric structures and optimizes your profile, so AI agents and recruiters can find and understand your experience.
Upload your résumé, profile details, projects and approved links.
We organize skills, roles, evidence, schema and profile data.
Review GEO, SEO, query intent and profile completeness before publishing.
Serve approved fields across Web, JSON-LD, directories, REST, MCP, partners, recruiters and headhunt clients.
Humetric structures your professional profile so AI platforms and recruiting agents can more easily find, understand, and match your experience.
examples: models & answer engines
GPT
OpenAI
Gemini
Claude
Anthropic
Grok
xAI
Perplexity
Answer engine
DeepSeek
Open-weight model
Meta AI
Meta
Qwen
Open-weight model
We tested how structured Humetric profiles perform in AI retrieval.
The results show measurable improvements in how accurately and consistently profiles are found and ranked.
More discoverable
Improved overall retrieval performance in our benchmark.
Better ranked
Relevant profiles were less likely to lose ranking position.
Better matched
Improved retrieval quality when comparing the same profile facts.
Results are based on controlled retrieval benchmarks and don't guarantee visibility or ranking on any specific AI or search platform.
faq // common questions
Get quick answers about Humetric and how your profile becomes discoverable by AI.
Humetric is a public, AI-native talent platform where recruiters and AI agents query people through an API or MCP, and each professional controls what those agents can see. A profile is published as server-rendered HTML, schema.org JSON-LD, JSON and Markdown, so both people and machines read the same consented facts.
LinkedIn is a closed network that AI agents cannot query directly; Humetric is built to be queried. Profiles are public, machine-readable and reachable over REST and MCP, and exposure is controlled field by field by the person rather than by the platform.
The person does, field by field. Every field carries its own exposure setting, contact details stay hidden by default, and the profile can be made completely private, reachable only through the authenticated recruiter API, or fully public. Changing that setting takes effect on every surface at once.
No. Email and phone are hidden by default and no publicity setting can expose them. What a profile can publish instead is a contact-willingness signal — open to offers, passive, or not looking — so recruiters know whether to approach without receiving your address.
Every public profile read and every API result is written to a consent log recording who asked, which fields were returned, and for what purpose. Consent is revocable: withdrawing it removes the profile from the directory, the sitemap and the API.
Submitting and publishing a profile is free for professionals. Programmatic access for recruiters and agents runs on a pay-as-you-go public API, rate-limited per key.
