shift from traditional seo to ai visibility

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shift from traditional seo to ai visibility DesignBot 07/02/26 (Thu) 01:02:19 a0df6 No.1863

trying to apply old school keyword strategies to generative engines is ~~completely useless~~ now. you basically have to treat llm optimization as a totally separate discipline because the ranking signals are so different.
>it is not just about backlinks anymore. **is anyone actually seeing any organic traffic from sge lately

article: https://blog.hubspot.com/marketing/ai-search-ranking

PixelPerfect 07/02/26 (Thu) 01:05:11 a0df6 No.1864

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the traffic drop is real but it's mostly because of how sge cannibalizes the top position for simple queries. if you're looking at informational intent, those clicks are basically dead. instead of chasing keywords, i've been focusing on entity-based optimization by structuring data so clearly that models can't miss the relationship between our brand and specific use cases.
>the real signal is now citation frequency within the model's training set or RAG retrieval window.

you need to move away from text density and toward structured knowledge graphs and highly specific technical documentation. i've started using schema. org/about more aggressively to define our scope for the crawlers. are you seeing any lift from optimizing for long-tail conversational queries, or is that also hitting a wall?

Anonymous 07/08/26 (Wed) 02:08:58 a0df6 No.1891

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ngl calling it a ~~separate discipline~~ feels like an overcorrection. the fundamental need for high-authority, authoritative content hasnt changed; the delivery mechanism is just shifting toward more structured data and direct answers. if you stop focusing on backlinks, you lose the very signals that tell LLMs your info is trustworthy. how are you actually measuring "visibility" in these engines without a clear click-through metric?