James Dooley sits down with Dan Petrovic to unpack the future of AI SEO, model psychology and how retrieval augmented generation is reshaping search. Dan explains why traditional SEO still powers AI systems because LLMs rely on trimmed search results rather than full pages. The discussion covers selection rate optimisation, query fan out, synthetic queries, citation mining and how to influence both search grounding and model training bias. This episode breaks down how to improve brand confidence inside large language models, reduce fluff, optimise for extractive summarisation and build authority that machines consistently select. Where to Listen to This Episode The Future of AI SEO Explained with Dan Petrovich is available across all major podcast platforms. Choose your preferred platform below. Listen to The Future of AI SEO Explained with Dan Petrovich on Transistor Listen to The Future of AI SEO Explained with Dan Petrovich on Pocket Casts Listen to The Future of AI SEO Explained with Dan Petrovich on Amazon Music Listen to The Future of AI SEO Explained with Dan Petrovich on Entity Home Listen to The Future of AI SEO Explained with Dan Petrovich on Spotify Listen to The Future of AI SEO Explained with Dan Petrovich on Podverse Listen to The Future of AI SEO Explained with Dan Petrovich on Pod.link Listen to The Future of AI SEO Explained with Dan Petrovich on Truefans Listen to The Future of AI SEO Explained with Dan Petrovich on Castro Listen to The Future of AI SEO Explained with Dan Petrovich on Castbox Listen to The Future of AI SEO Explained with Dan Petrovich on Podcast Addict Listen to The Future of AI SEO Explained with Dan Petrovich on Deezer Listen to The Future of AI SEO Explained with Dan Petrovich on Rephonic Listen to The Future of AI SEO Explained with Dan Petrovich on Player FM Listen to The Future of AI SEO Explained with Dan Petrovich on Listen Notes Listen to The Future of AI SEO Explained with Dan Petrovich on Podcast Guru Listen to The Future of AI SEO Explained with Dan Petrovich on Podchaser