Semantic Triples Generator
Semantic Triples Generator turns your brand or person description into semantic triples — subject–verb–object statements that search engines and AI assistants can read unambiguously. You get the triples, a readable "About us" text built on them, and ready JSON-LD for the page's <head>.
Everything is AI-generated from the text you paste. Pay particular attention to two fields: the "verified entities" and the sameAs links (Wikipedia/LinkedIn) are the model's guesses — nothing is looked up against Wikidata or any registry, and the confidence percentage is the model's own. Check every link before publishing.
Who this tool is for
Anyone working on entity SEO who wants machines to understand who you are, what you do and where you belong.
Prerequisites
- Signed-in account (growth tier is enforced today)
- 20 credits per run
- An entity name and a bio or about text (both required)
How to use it
- Enter the entity name and pick a type (organization, person, product or brand).
- Paste the description text and generate.
- Review the triples — strike statements that are not true.
- Verify the sameAs links manually, then copy the JSON-LD block into your page.
How to read the result
- The triples are the machine-readable claims — each one should be true and documentable.
- The "About us" text is the triples rewritten as prose; use it as a draft.
- The JSON-LD tab is the deliverable for search engines — validate it in Google's Rich Results Test.
Common errors
- "No valid JSON found": a rare parsing failure after the run — the charge is not auto-refunded today; contact support and retry with shorter text.
- Wrong sameAs links: common for lesser-known brands — remove them rather than publishing a wrong association.
Limitations
- No lookups against external registries; "verified" here means "the model is fairly confident", not actually verified.
- Copy buttons only — no saving, history or download.
Related tools
- Schema Generator Pro, for other schema types
- Schema Architect, for the full schema strategy
- Brand DNA Decoder, for the brand description first
Last updated 2026-08-06