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Using AI at Work

Hosted by Chris Daigle

On "Using AI at Work", your host Chris Daigle and his expert guests help business leaders, executives, and teams who want to turn artificial intelligence into a real competitive advantage.

109 episodes · publishes weekly · latest 2026-06-22

Rank

#173

Substance

68.3

/ 100

Scored 2026-06
Updated monthly

AI & Data rank

#10 of 48

Best B2B AI & Data Podcasts →

Across the index

#173 of 911

Substance

Top 19%

outscores 81% of the index

Why it scores where it does

Using AI at Work ranks #173 on The B2B Podcast Index with a substance score of 68.3 out of 100, scored across 3 recent episodes. It scores highest on guest caliber and specificity & evidence. Cole Casperson is a legitimate practitioner with real technical depth - Amazon portfolio experience, patent-level knowledge of Rufus, and an MIT-adjacent ML background - but he is a CDO at a boutique outdoor-sports agency doing an overt product pitch for Reach, which caps his caliber well below operator-at-scale.

The five-dimension breakdown

Averaged across 3 recently scored episodes, with cited evidence.

Insight Density

13.7 / 20

There are genuine technical insights about AI retrieval pipelines, query-length shifts, and the deterministic layers of GEO, but these are diluted by significant host padding, repetitive summaries, and product-pitch segments. The useful signal-to-noise ratio is moderate at best.

“queries are now 16 words long. Um, and voice queries which are even more uh, uh, growing in popularity, are now 29 words long”

“any question you ask at LLM, Chris, um, is there's basically 30 pages on the Internet that are going to be used to answer that question”

Originality

13.0 / 20

The 'concepts over keywords' reframe and using Amazon's A9/Rufus progression as a proxy for open-web AI retrieval trends are genuinely interesting angles, but the broader narrative - 'early SEO adopters won, early GEO adopters will win' - is a well-worn analogy and much of the framing recycles standard GEO discourse.

“women's mountain bike shorts or feminine biking bottoms, those in the past were different keywords... those represent the same idea... we call it concepts over keywords”

“the Amazon brands that were winning got there because they understood the retrieval architecture early... that competition is now emerging onto the open web”

Guest Caliber

16.0 / 20

Cole Casperson is a legitimate practitioner with real technical depth - Amazon portfolio experience, patent-level knowledge of Rufus, and an MIT-adjacent ML background - but he is a CDO at a boutique outdoor-sports agency doing an overt product pitch for Reach, which caps his caliber well below operator-at-scale.

“I have a copy of Rufus's patent documents in my office actually. It's like we know exactly how Rufus thinks”

“Amazon within this contained sphere has been able to really build a bunch of uh, a nice infrastructure of machine learning based retrieval”

Specificity & Evidence

15.0 / 20

The episode includes several concrete data points - query-length statistics, named index providers per LLM, Amazon's market share figure, and the 30-pages heuristic - but is undermined by an unsourced 60% retrieval stat, fictional Claude version numbers, and zero client result metrics shared.

“ChatGPT of course had a long standing relationship with Microsoft. So, um, they do rent the Bing index from Microsoft... Claude uses Brave Search”

“Amazon has grown to 41% of the U.S. m E commerce market”

Conversational Craft

10.7 / 20

The host consistently recaps guest answers in multi-sentence summaries rather than probing further, inserts repeated self-promotional plugs for chiefaiofficer.com, and never challenges a single claim - the conversation reads more like a guided product demo than an interview.

“SEO is child's play compared to what we're doing with the, the GEO effort”

“I would consider myself an expert level user of generative AI and business operations. Right? But I don't necessarily like I can drive a car fast, but I don't know anything about the engine”

Standout episodes

  • 107: Using Generative Engine Optimization (GEO) to Win the AI Search Race with Cole Casperson

    2026-06-08

    71
  • 108: Using AI Detection Tools to Fight AI Slop and Preserve Authenticity Online with Max Spero

    2026-06-15

    69
  • 109: Using AI Meeting Notes to Turn Conversations Into Business Outcomes with Artem Koren

    2026-06-22

    65

Rank over time

First period on the Index - history builds from here.

Episodes

3 scored on substance · 60 tracked in total.

Frequently asked

What is Using AI at Work's substance score?
Using AI at Work scores 68.3 out of 100 for substance and ranks #173 on The B2B Podcast Index. That puts it ahead of 81% of the B2B podcasts we rank and #10 of 48 in AI & Data. The score reflects insight density, originality, guest caliber, specificity and conversational craft across recent episodes - not downloads.
Is Using AI at Work worth listening to?
Yes - Using AI at Work outscores 81% of the B2B ai & data podcasts and shows we rank on substance, so a ai & data operator is likely to come away with something useful.
Who hosts Using AI at Work?
Using AI at Work is hosted by Chris Daigle.
How often does Using AI at Work publish?
Using AI at Work publishes weekly, has 109 episodes, released its most recent episode on 2026-06-22.
Which Using AI at Work episode should I start with?
Our highest-scoring recent episode is "107: Using Generative Engine Optimization (GEO) to Win the AI Search Race with Cole Casperson" (71/100) - a good place to start.

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