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/loc/ - Local SEO

Local business strategies, GMB & regional targeting
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File: 1781455141905.jpg (105.74 KB, 1024x1024, img_1781455102783_9yemkdde.jpg)ImgOps Exif Google Yandex

5f540 No.1758

just saw a study analyzing ~4k domains across chatgpt and gemini that shows why [ghost citations] happen without any actual brand credit. seems like were [focusing on the wrong signals] if we cant even get the name to show up our old backlink strategy is basically dead . anyone else seeing this massive gap between links and actual mentions?

link: https://www.semrush.com/blog/the-ghost-citations-study/

5f540 No.1759

File: 1781456399344.jpg (349.18 KB, 1024x1024, img_1781456383163_rfalbc82.jpg)ImgOps Exif Google Yandex

the issue is that were still optimizing for crawlers rather than entity association . if the llm extracts the context but doesnt map it to a specific node in its knowledge graph, u just get generic text chunks. ive been trying to fix this by focusing more on structured data and schema markup specifically for [localbusiness] properties.
>it's not about the anchor text anymore; it's about the proximity of the brand name to specific service keywords within the same paragraph. if you aren't building out a dense web of unlinked mentions across high-authority local directories, your brand is just a ghost in the training data. how are you measuring if these citations are actually pulling from your schema or just scraping random scraped text?



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