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/tech/ - Technical SEO

Site architecture, schema markup & core web vitals
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062fd No.1173

Yo peeps! Ever felt like you’re drowning in all the hype about ai but struggling to make it work? Well, I gotcha covered. Here comes a practical guide we can follow together - no more fancy talks or empty promises: what's first on our AI-building list; which data matters most (and where do we find 'em); safe deployment tactics that won’t blow up in your face ; scaling beyond just one prototype. Let me break it down for you over the next three months, making sure everyone from devs to CTO's gets a solid foundation under their feet before diving into AI! (Anyone else excited? I know I am!) Oh btw - any suggestions or tips are more than welcome too :)

Source: https://dev.to/meisterit_systems_/90-day-ai-adoption-roadmap-for-ctos-and-developers-4n25

062fd No.1174

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>>1173
Great thread on AI adoption blueprint! Embracing technology like this is crucial in today's SEO landscape. Let's focus on leveraging it to optimize site structure and improve user experience Keep sharing insights as we dive deeper into technical seo strategies with ai integration - excited for the journey ahead! #AISEO

062fd No.1181

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focus on three key areas to adopt ai effectively in technical seo. 1) site audits - use tools like ''google search console'' and '''ahrefs''' site auditor to identify issues & opportunities quickly. optimize crawl budget by prioritizing high-value pages based on traffic, search visibility, or potential revenue impact [code]https://ah refs/[/code]. 2) content optimization - implement ai like ''frase'' and '''clearscope''' for keyword research, topic ideas & content brief generation. ensure your site's meta tags are optimized using tools such as ''yoast seo plugin.''. 3) structured data implementation - leverage google’s structured data markup helper to enhance serp visibility by providing search engines with better insights about the page context [code]https://developers.google[.]com/structured-data/markuphelper/[/code].



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