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#1763Rec Tech: the Recruiting Technology Podcast68.0 / 100Get badge
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Rec Tech: the Recruiting Technology Podcast

Hosted by Chris Russell

Hosted by Chris Russell, online recruiting's mad scientist, the RecTech podcast covers all aspects of recruiting technology and recruitment marketing including interesting new tools & vendors. You'll also hear how recruiters leverage technology to find talent.

863 episodes · publishes weekly · latest 2026-07-02 · ~20 min/episode

Rank

#1763

Substance

68.0

/ 100

Breakdown

Scored 2026-07
Updated monthly

HR rank

#76 of 381

Best B2B HR Podcasts →

Across the index

#1763 of 6182

Substance

Top 29%

outscores 71% of the index

Why it scores where it does

Rec Tech: the Recruiting Technology Podcast ranks #1763 on The B2B Podcast Index with a substance score of 68.0 out of 100, scored across 1 recent episode. It scores highest on guest caliber and specificity & evidence. Danny Rojas is a genuine practitioner who has implemented these programs at real retail brands (JCPenney, Container Store), which gives his advice credibility over a pure thought leader; however, neither brand is at enterprise scale for TA complexity, and his seniority level and track record are mid-tier rather than exceptional.

The five-dimension breakdown

Averaged across 1 recently scored episode, with cited evidence.

Insight Density

14.0 / 20

There are a handful of genuinely actionable tactics buried in the episode - Q&A content structure for AI citation, using LinkedIn rep workforce analytics to identify active employee advocates, Reddit's citation share among LLMs - but the conversation meanders heavily, repeats itself, and regularly bottoms out in 'just do something' platitudes. The insight-per-minute rate is low for a 48-minute runtime.

“only 2% of your posts on LinkedIn are actually being seen by your followers, and that's down from 7%”

“40% of, uh, you know, LLMs are actually citing material”

Originality

13.0 / 20

Applying AEO/GEO framing specifically to employer branding and TA is a timely and relatively fresh angle for this audience, and the Reddit-monitoring angle for brand management is underappreciated. However, the core strategy - employee advocacy programs with cohorts, swag rewards, and Glassdoor campaigns - is well-worn territory dressed in new AI vocabulary.

“if your career site is not optimized, if your job postings are not AEO and GEO optimized, then you're going to pay more to populate in those searches”

“it is going to win over these blatant fancy filler words that are on your career site”

Guest Caliber

15.0 / 20

Danny Rojas is a genuine practitioner who has implemented these programs at real retail brands (JCPenney, Container Store), which gives his advice credibility over a pure thought leader; however, neither brand is at enterprise scale for TA complexity, and his seniority level and track record are mid-tier rather than exceptional.

“ex JCPenney, ex Container Store. Very much a practitioner and a thought leader in everything that is talent acquisition”

“I hired somebody that actually had a degree in social, that had some work in social and then just happened to turn into a recruiter”

Specificity & Evidence

15.0 / 20

The episode has more concrete specifics than average - LinkedIn organic reach percentages, Reddit LLM citation share, cohort sizing, time commitments, reward tiers - but the data sourcing is weak ('a partner of ours,' uncited percentages) and many claims remain anecdotal. The Container Store and JCPenney examples are real but thin on hard outcomes.

“70% of candidates are using AI in their job search”

“only 2% of your posts on LinkedIn are actually being seen by your followers, and that's down from 7%”

Conversational Craft

11.0 / 20

The host is a vendor representative conducting what is essentially a promotional webinar, not a probing interview; she regularly defers, loses her train of thought mid-conversation, and never challenges Danny's claims or asks for evidence behind the numbers he cites. Follow-up questions exist but are largely surface-level or logistical.

“I had one more question that has escaped my brain”

“I'll just ask questions”

Standout episodes

  • Homegrown Employer Branding for AEO & GEO

    2026-06-29

    68

Rank over time

First period on the Index - history builds from here.

Episodes

1 scored on substance · 61 tracked in total.

  • Homegrown Employer Branding for AEO & GEO

    2026-06-29 · 48 min

    68 / 100

Frequently asked

What is Rec Tech: the Recruiting Technology Podcast's substance score?
Rec Tech: the Recruiting Technology Podcast scores 68.0 out of 100 for substance and ranks #1763 on The B2B Podcast Index. That puts it ahead of 71% of the B2B podcasts we rank and #76 of 381 in HR. The score reflects insight density, originality, guest caliber, specificity and conversational craft across recent episodes - not downloads.
Is Rec Tech: the Recruiting Technology Podcast worth listening to?
Yes - Rec Tech: the Recruiting Technology Podcast outscores 71% of the B2B hr podcasts and shows we rank on substance, so a hr operator is likely to come away with something useful.
Who hosts Rec Tech: the Recruiting Technology Podcast?
Rec Tech: the Recruiting Technology Podcast is hosted by Chris Russell.
How often does Rec Tech: the Recruiting Technology Podcast publish?
Rec Tech: the Recruiting Technology Podcast publishes weekly, has 863 episodes, released its most recent episode on 2026-07-02.
Which Rec Tech: the Recruiting Technology Podcast episode should I start with?
Our highest-scoring recent episode is "Homegrown Employer Branding for AEO & GEO" (68/100) - a good place to start.

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Frequently discusses

Companies, products and tools that come up most across this show's episodes.

Google ChromeGeminiChatGPTClaudeCopilotDaliaPerplexityJCPenneyContainer StoreGlassdoorIndeedLinkedIn

Guests who've appeared

Danny RojasMikayla Fitzwilliam

Topics this show covers

The themes that come up most across this show's episodes.

GeminiClaudeChatGPTPerplexityRedditAEO (AI Engine Optimization)GlassdoorGEO (Generalized Engine Optimization)Indeed employer profiles and feedsLinkedIn workforce analytics

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