
Hosted by Ben Goodey
Dive into the world of fast-growth SEO case studies on the How the Fxck podcast. Each episode gets into the trenches alongside those who were *actually* there when it happened. To reveal the full story of what's working in SEO right now.
77 episodes · publishes weekly · latest 2024-03-20 · ~37 min/episode
Rank
#1381
Substance
70.0
/ 100
Breakdown
Scored 2026-07
Updated monthly
Across the index
#1381 of 6182
Substance
Top 22%
outscores 78% of the index
How the Fxck SEO Podcast ranks #1381 on The B2B Podcast Index with a substance score of 70.0 out of 100, scored across 1 recent episode. It scores highest on guest caliber and specificity & evidence. Trish is a genuine practitioner who executed the scaling she describes - not a thought-leader or career podcaster - and has moved between meaningfully different SEO contexts (PLG SaaS vs. enterprise B2B), giving her legitimate comparative perspective; however, she is a mid-level content operator rather than a senior executive or founder who has done this at exceptional scale.
Averaged across 1 recently scored episode, with cited evidence.
There are genuine operational insights scattered through the episode - subdomain migration as a turning point, cluster-first bottom-of-funnel prioritisation, and the 'set and forget' regret at 700 articles - but significant airtime is consumed by social filler, the host reflecting on their own agency experiences, and fairly surface-level elaboration on well-known concepts.
“we started off with producing, we were producing one or two articles a week in-house and then we scaled eventually within a year to producing 25 articles a week. And we ended up growing by 1800% in 18 months”
“One mistake is like the biggest mistake that we made...we produce, produce and set, we set and forget, right? There was one point where we had kind of gone through a majority of the keywords in our sector. We had like 700 articles at one point”
The PLG-vs-enterprise SEO contrast is the episode's most interesting angle, but every specific tactic discussed - content clusters per feature, technical SEO foundations before scaling, bottom-of-funnel first - is standard industry advice that circulates widely; there are no contrarian or first-principles arguments.
“I'm a content cluster queen. I love a content cluster.”
“the top of funnel content, top of funnel is like what I would consider bottom of funnel for things like Springlee, you know?”
Trish is a genuine practitioner who executed the scaling she describes - not a thought-leader or career podcaster - and has moved between meaningfully different SEO contexts (PLG SaaS vs. enterprise B2B), giving her legitimate comparative perspective; however, she is a mid-level content operator rather than a senior executive or founder who has done this at exceptional scale.
“we ended up growing by 1800% in 18 months”
“we do enterprise sales. The sales cycle is extremely long between, you know, six to 12 months. We're working with high profile clients, Fortune 500 companies.”
The episode delivers several concrete numbers - 1800% growth in 18 months, ~1,000 to ~100,000 monthly organic visits, 25 articles/week, 700 total articles, 8 articles/month at Djust, ~150 target keywords - which is above average for this format; however, key figures are hedged ('I can't remember the exact numbers now') and the AI workflow description remains vague and process-level.
“we were at a very quite stable growth of around a hundred thousand visits organic visits per month in the end”
“We're not talking about 700 keywords anymore. We're talking about like 150”
The host asks a few purposeful follow-ups - notably pushing back on whether AI is really saving time for complex C-suite content - and does prompt useful reflection with 'was it worth it and what would you do differently'; but the opening minutes are dead weight, the host frequently pivots to sharing their own experience mid-interview, and most questions are predictable content-strategy staples without genuine probing.
“for me like to challenge you there maybe like c-suite level content that needs expert insight and research and data and all this stuff is it not just taking you a lot longer than writing it to get ai to write that quality”
“So maybe to wrap up springy like stuff like so many avenues that we could go down but like looking back at like you know scaling so many articles in their short space of time and like building that up like what's your honest take like was it worth it why or why not”
First period on the Index - history builds from here.
1 scored on substance · 60 tracked in total.
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