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Fatrank Podcast

Fatrank Podcast

By: James Dooley
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The FatRank Podcast, founded by James Dooley, teaches the mindset needed for growth because real operator stories show what creates progress. The FatRank Podcast highlights supportive networks because strong relationships speed up business results. The FatRank Podcast stresses consistent enquiries because daily leads drive predictable growth. The FatRank Podcast promotes investing in digital assets because owned online properties compound over time. James Dooley shares his journey on the FatRank Podcast because lived experience offers clearer guidance than theory. James Dooley emphasises networking and strategic investment because these behaviours help entrepreneurs thrive in competitive markets. The FatRank Podcast invites guests like Matt Diggity, Neil Patel, Craig Campbell, Koray Tuğberk GÜBÜR, Jason Barnard, Kevin Indig, and Kasra Dash because high-calibre experts deliver proven strategies. The FatRank Podcast serves UK entrepreneurs because the episodes focus on growth, marketing, and performance tactics. Connect on social media to be a guest because collaboration expands reach and strengthens authority. Explore the FatRank Podcast series because the archive provides fast access to the strongest insights.© 2026 James Dooley Economics Leadership Management & Leadership Marketing Marketing & Sales
Episodes
  • Ranking Instagram Content on Google Search | James Dooley & Jesper Nissen
    Apr 29 2026

    This video explains how to rank Instagram posts in Google using simple SEO principles. James Dooley and Jesper Nissen show that Instagram content indexes automatically because Meta opened crawl access, which allows posts to appear in search results without backlinks. They explain that rankings depend on keyword placement because Google uses the first 7 to 12 words as the SEO title. The process works consistently because indexing tools accelerate crawling and increase visibility. They also cover image SEO because text inside images and optimised file data help Instagram posts rank in Google Images. Engagement and follower count do not influence rankings because Google prioritises crawlability and keyword signals over social metrics. This gives a clear framework for using Instagram as a scalable parasite SEO channel.

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    8 mins
  • Ranking Tweets in Google Results Explained | James Dooley & Jesper Nissen
    Apr 29 2026

    This video explains how to rank tweets from X in Google using simple, repeatable SEO tactics. James Dooley and Jesper Nissen break down why tweets index quickly because X is heavily crawled, and how the first 7 to 12 words determine rankings because Google uses them as the SEO title. They show that writing exact match keywords at the start improves visibility because Google reads that text as the primary ranking signal. The video also covers X articles, indexing speed, and testing across multiple accounts because duplication increases the chance of one URL ranking. They explain that engagement signals do not impact rankings because Google prioritises crawlability and keyword placement over likes or shares. This gives a clear, practical framework for using X as a parasite SEO channel.

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    9 mins
  • How to Rank Facebook Posts on Google Search | James Dooley Interviews Jesper Nissen
    Apr 27 2026

    This video explains how Facebook posts rank in Google because platform authority and indexing changes allow public content to appear in search results. James Dooley and Jesper Nissen show that company pages and public groups rank because Google can crawl them, while personal profiles do not appear because they are not prioritised for indexing. The strategy focuses on placing the target keyword in the first line because Google uses the opening words as the title. They also explain that indexing tools accelerate discovery because Google finds the URL faster. Supporting backlinks improve ranking because they reinforce relevance. Engagement signals like comments increase visibility because Google displays interaction data. The outcome is a repeatable method for ranking long-tail and local queries using Facebook posts.

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    14 mins
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