Using AI Vision to bypass generic "AI footprints" in SEO

festus1

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"I've found that the biggest mistake people make with AI in digital marketing is using text-only prompts. It leads to footprints that Google catches easily.
I’ve moved my entire workflow to Image-to-Context. By feeding an LLM an image of the product/service first, the output is 10x more specific and passes most 'human' checks because it references real-world visual data.
I've managed to automate this for 100+ posts a day without a drop in rankings. Just wanted to share this shift in strategy for those seeing a dip in their AI-content performance.
Curious if anyone else is using Vision APIs yet or if you're still sticking to text-only?"
 
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