Most AI SEO tools dump standalone articles. No cross-linking, cluster architecture, or compounding authority. Repli builds pillar-cluster systems where every article strengthens the whole. Named frameworks baked into every piece. AI can't cite a concept without citing the source. That's the citation loop most tools miss. LLM analytics: see which AI cited you, for which query, how often. Lifetime 60% off (99$/mo): REPLIFIRST100. You can also try Repli & get a full website audit for 1$
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The pillar-cluster architecture with built-in cross-linking is a smart approach—getting AI systems to naturally cite sources instead of hallucinating is genuinely hard. The LLM analytics piece sounds particularly useful since most teams have no visibility into which AI models are actually picking up their content.
@osakasaul It is! 90% of the time I took to build it went to the workflow/algorithm which creates the articles & the structure. It was annoying because like you said there were alot of halluscinations, but thankfully after trial and error I was able to fix it and create a winning algo.
On LLM analytics, its something that even after launch Im actively updating and making better, more prompts and more tests to be as accurate as possible. The next addition will be LLM analytics insights, so the platform will also tell you which pages & snippets from those pages were cited. That way not only the platform but you as a user know what works and what doesnt, and also the platform will double down on what works in the next run.