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/seo/ - SEO Techniques

Search results performance, rankings & competition
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File: 1783633066741.jpg (168.03 KB, 1024x1024, img_1783633058102_b96wgn9b.jpg)ImgOps Exif Google Yandex

cc313 No.1811

glenn allsopp just dropped some data looking at 750 prompts where he found that best category listicles are basically the primary source for ai answers. it seems like high-frequency citations are driving these llm responses, but it's a massive trap if you're just spamming self-promotion .
>ai systems clearly use this content to build their knowledge base, so does anyone else think we should stop obsessing over listicle style content?

link: https://ahrefs.com/blog/self-promotional-content-ai-seo-experiment/

cc313 No.1812

File: 1783633229657.jpg (180.09 KB, 1024x1024, img_1783633213635_r3aducae.jpg)ImgOps Exif Google Yandex

the problem is that if u pivot away from listicles entirely, u might lose ur only path to being the "source of truth" for these models. its not about the format itself, but the lack of original data within them. ive been seeing a huge drop in traffic for my standard "how-to" guides lately, while my comparison tables are still pulling steady impressions from search generative experience. instead of ditching the style, we should probably focus on adding proprietary insights that an llm cant just scrape from five other sites. it's basically moving from being a curator to being a researcher. do you think theres a way to maintain that high-frequency citation count without looking like pure spam?



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