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Looking for a complete Framer SEO course that covers both classic Google rankings and the new world of AI search? This guide walks through the full process, step by step, so you can rank your Framer site first on Google and get it mentioned by LLMs like ChatGPT, Perplexity, Google's AI Mode, Grok, and more.
Before any tactics, there's a bit of theory you need. Classic search engines like Google work as a ranked list. LLMs and AI search engines work differently – instead of returning a list, they synthesize an answer from multiple sources and cite the sources they found most credible.
The good news: the strategies that make you authoritative for Google mostly also make you citable by LLMs.
Keyword research for a Framer site follows the same principles as keyword research for any site.
The most effective keyword strategy focuses on four quadrants:
Before creating content for any keyword, analyze the top 5 ranking pages. Look at word count, heading structure, content depth, number of images, and whether they include original data. Your content needs to be at least as good as the best-ranking page.
Ask ChatGPT, Perplexity, or Claude a question related to your keyword. What sources do they cite? What claims do they make? This tells you what content LLMs consider authoritative on the topic.
Meta Titles and Descriptions – set these for every page. Target keyword in the title (50–70 characters). Compelling description under 160 characters.
Schema Markup – Framer doesn't add schema automatically. Use Infin8Content's AI SEO Agent to inject JSON-LD schema across your site.
Site Speed – Framer sites are fast by default, but watch for large images, third-party embeds, and excessive animation.
Build a blog with content that satisfies search intent better than anyone else ranking for your target keywords.
Backlinks remain the most powerful ranking signal. For a Framer site starting from scratch, the most realistic backlink strategies are:
Technical SEO automation, AI content generation, AutoPublish, and LLM tracking – everything in this course, in one platform.
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