A candid look at AI search chaos, from spam and bad attribution to why brand, positioning, and trust now matter more than visibility alone.
In this Kitchen Side episode, Alex Birkett, Allie Decker, and David Khim unpack the increasingly noisy world of AI search (GEO/AEO), including spam tactics, flawed attribution models, and widespread confusion around what actually drives results.
They explore why visibility without revenue is a trap, how brand sentiment and off-page signals shape AI outputs, and why trust, positioning, and human validation are becoming more important than ever in B2B buying decisions.
Key Takeaways
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What is Kitchen Side?
One big benefit of running an agency or working at one is you get to see the “kitchen side” of many different businesses; their revenue, their operations, their automations, and their culture.
You understand how things look from the inside and how that differs from the outside.
You understand how the sausage is made.
As an agency ourselves, we’re working both on growing our clients’ businesses as well as our own. This podcast is one project, but we also blog, make videos, do sales, and have quite a robust portfolio of automations and hacks to run our business.
We want to take you behind the curtain, to the kitchen side of our business, to witness our brainstorms, discussions, and internal dialogues behind the public works that we ship.
Past guests on The Long Game podcast include: Morgan Brown (Shopify), Ryan Law (Animalz), Dan Shure (Evolving SEO), Kaleigh Moore (freelancer), Eric Siu (Clickflow), Peep Laja (CXL), Chelsea Castle (Chili Piper), Tracey Wallace (Klaviyo), Tim Soulo (Ahrefs), Ryan McReady (Reforge), and many more.
Some interviews you might enjoy and learn from:
Actionable Tips and Secrets to SEO Strategy with Dan Shure (Evolving SEO)
Building Competitive Marketing Content with Sam Chapman (Aprimo)
How to Build the Right Data Workflow with Blake Burch (Shipyard)
Data-Driven Thought Leadership with Alicia Johnston (Sprout Social)
Purpose-Driven Leadership & Building a Content Team with Ty Magnin (UiPath)
Also, check out our Kitchen Side series where we take you behind the scenes to see how the sausage is made at our agency:
Should You Hire Writers or Subject Matter Experts?
How Do Growth and Content Overlap?
Connect with Omniscient Digital on social:
Twitter: @beomniscient
Linkedin: Be Omniscient
Listen to more episodes of The Long Game podcast here:
https://beomniscient.com/podcast/
[00:00] – Intro and overview of AI search chaos and AEO debates
[01:34] – Why the SEO vs AEO debate is unproductive
[02:18] – Rise of spammy tactics and “gold rush” behavior in AEO
[04:35] – Programmatic content at scale vs actual conversion impact
[06:15] – Patience vs constantly changing strategy in marketing
[07:30] – Confusion caused by conflicting AEO advice and data
[08:48] – How large datasets can be used to justify any narrative
[10:53] – Broken attribution models and flawed LLM tracking
[12:57] – Importance of customer research vs inferred data
[14:13] – Experience vs experimentation in AI search strategy
[16:30] – Visibility vs revenue: tracking the wrong metrics
[18:27] – When visibility actually matters (brand vs pipeline)
[19:30] – Enterprise vs SMB approaches to AI search
[21:04] – AI search reshaping content beyond keywords
[22:28] – Positioning, sentiment, and narrative control in LLMs
[23:17] – Aligning SEO/AEO with go-to-market strategy
[25:29] – LLMs compressing information and shaping decisions
[27:32] – Visibility as only step one; importance of positioning
[27:50] – Shift to sentiment and brand positioning in AI search
[28:10] – Brand awareness as a driver of visibility
[29:17] – Risks of sentiment manipulation and attack vectors
[30:18] – GEO as a form of online reputation management
[31:28] – Loss of narrative control in AI-driven environments
[32:26] – Competitive content, reviews, and brand defense
[34:39] – Why large brands are more vulnerable than smaller players
[35:16] – Off-page strategy beyond listicles and affiliate mentions
[36:50] – Outreach saturation and diminishing returns
[37:32] – Role of review sites and product categorization
[39:27] – Importance of detailed, structured customer reviews
[40:31] – High-trust sources: Wikipedia, reviews, and forums
[42:32] – Reddit as a marketing channel: risks and opportunities
[44:11] – Authentic engagement vs manipulation on Reddit
[46:13] – Limits of platform trust and moderation systems
[47:47] – AI discovery vs peer validation in B2B buying decisions