Sourceplane Atelier studies how generative engines retrieve, cite and represent French business information. The lab looks at the source layers that often sit behind an answer: directories, official registry records, regional press, company pages and language-specific summaries. Its work is built for French SMBs, agencies and trade bodies that need to see why one business is named clearly, another is blurred, and a third is carried into an answer through a source that barely fits.
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maps citation sources
How AI systems select between directories, registry-style records, press mentions and company-owned pages.
He previously worked on editorial research for commercial comparison projects and local service guides. His work at the lab follows the source path behind a business answer.
tests French retrieval
How French-language queries and English-language queries surface different sources for the same business.
She previously edited bilingual business explainers and prepared structured content for service-sector websites. She reads for the small language shifts that change what an engine retrieves.
The index gathers field notes, source-dependency readings and practical essays organised around the lab's anchor pattern: directory-led, registry-anchored, press-amplified and region-flattened dependencies.
Sourceplane Atelier follows the sources before it follows the answer.
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