Hosted by Alston Antony
The Profitable SEO Show is a weekly podcast for students, marketers and business owners who care about revenue, not vanity metrics. We break down real-world SEO strategies, AI developments, SaaS tools, and digital marketing ideas that turn rankings into predictable income. No fluff. No recycled tips.
3 episodes · publishes monthly · latest 2025-01-28 · ~18 min/episode
Rank
#5851
Substance
36.0
/ 100
Breakdown
Scored 2026-07
Updated monthly
Across the index
#5851 of 6186
Substance
Top 95%
outscores 5% of the index
The Profitable SEO & SaaS Show ranks #5851 on The B2B Podcast Index with a substance score of 36.0 out of 100, scored across 1 recent episode. It scores highest on specificity & evidence and insight density. A handful of API price figures are cited (e.g. $0.014 per million cached tokens, $15 for GPT-4 output) but they are frequently garbled, sourced from a Perplexity screenshot rather than primary documentation, and presented with enough confusion to reduce reliability. No named enterprise case studies, conversion metrics, or rigorous benchmarks are discussed firsthand.
Averaged across 1 recently scored episode, with cited evidence.
The episode is a beginner overview with minimal novel information: it recaps Google Trends, paraphrases secondhand benchmark data by feeding a table into ChatGPT, and walks through a live UI demo. Almost everything stated was widely circulating at the time, and significant runtime is consumed by technical errors and throat-clearing.
“I'm not a data scientist. You already know I'm a uh just a software basic software engineer with a digital marketing background. So what I did was I just copied every single thing here and went into chat GPT and I pasted the everything”
“I got four errors of operation unsuccessful. Then it took my request. So I am assuming it is because of the demand right now or due to the DoS attacks”
There is no original analysis or contrarian framing; the sole 'take' offered is a crude analogy comparing DeepSeek to cheap Chinese consumer goods, and all benchmark interpretation is outsourced to ChatGPT. No first-principles reasoning or fresh perspective is present.
“Almost like this is how China works in everywhere because Deep SEQ is coming from China. China's main goal has been in many industries always providing a better cheap, not better almost uh working cheaper products”
“I asked it in chat GPT I Didn't ask it in deep Seq I asked it in chat GPT and it started to break down the table for me”
This is a solo monologue by a self-described 'basic software engineer with a digital marketing background' - no guests, no practitioner credibility, and no demonstrated depth of expertise in AI, ML, or enterprise software.
“I'm not a data scientist. You already know I'm a uh just a software basic software engineer with a digital marketing background”
“I personally listen to a lot of AI podcast. I listened to AI Daily Brief just today and he was explaining a really good podcast”
A handful of API price figures are cited (e.g. $0.014 per million cached tokens, $15 for GPT-4 output) but they are frequently garbled, sourced from a Perplexity screenshot rather than primary documentation, and presented with enough confusion to reduce reliability. No named enterprise case studies, conversion metrics, or rigorous benchmarks are discussed firsthand.
“for 1 million token cache it means that the data is already available for that. So it is going to be if caching the if if the data is in the cache folder it is going to be charging around 0.014”
“deep seq reason is 2.919 and this is where it comes to $5 and if I'm taking uh Chat GP into account”
There is no conversation - this is an unstructured solo screencast monologue. There are no interview questions, no follow-ups, no pushback, and the presentation itself is disorganised with extended segments devoted to live errors and navigating broken UI.
“Okay, we are back. I wanted to show you the current thing. It worked, but it didn't work at first”
“I'm obviously spelling it wrong to see whether it understand productivity step for work”
First period on the Index - history builds from here.
1 scored on substance · 3 tracked in total.
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