{"id":78243,"date":"2025-12-12T07:00:00","date_gmt":"2025-12-12T15:00:00","guid":{"rendered":"https:\/\/dhblog.dream.press\/blog\/?p=78243"},"modified":"2026-03-11T08:51:21","modified_gmt":"2026-03-11T15:51:21","slug":"entity-seo","status":"publish","type":"post","link":"https:\/\/www-dev.dreamhost.com\/blog\/entity-seo\/","title":{"rendered":"What AI Sees on Your Website: Entity SEO Optimization"},"content":{"rendered":"
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AI reads your content by extracting entities (people, places, organizations, products, concepts) rather than matching keywords. Google’s Natural Language API reveals what AI sees: entity names, types, salience scores, and Knowledge Graph connections. Strong optimization requires primary topics in titles and headings, related concepts that build semantic depth, schema markup for structured data, and regular updates (89.7% of ChatGPT citations go to recently updated pages).<\/p>\n\n\n\t<\/div>\n<\/div>\n\n\n

Entities could explain why ChatGPT keeps citing a competitor instead of your brand.<\/p>\n\n\n\n

If you paste an article in the Google Natural Language API<\/a> (the same technology Google uses to understand content), it will extract all the elements or \u201centities\u201d based on its understanding. <\/p>\n\n\n\n

Here\u2019s what it extracted for a demo snippet:<\/p>\n\n\n\n

\"Demo<\/figure>\n\n\n\n

Try it with your blog and an outranking competitor\u2019s blog. More likely than not, your competitor built a richer semantic network that AI interprets as “more comprehensive understanding of WordPress security.” <\/p>\n\n\n\n

This is what’s happening behind the scenes every time AI decides which content to cite, and with AI-referred traffic up 527% year-over-year<\/a> and 89.7% of ChatGPT citations<\/a> going to recently updated pages, understanding this matters.<\/p>\n\n\n\n

Here\u2019s what you’ll learn:<\/strong><\/p>\n\n\n\n