Podcast Summary: "How AI is becoming the new front door for retail"

Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast
Host: Tyson Stockton
Guest: AJ Girgic (Global VP at Botify)
Date: October 13, 2025

Overview

This episode explores the transformative impact of conversational AI on retail search and SEO. Host Tyson Stockton and guest AJ Girgic delve into the new realities of the buyer journey, the shift from traditional keyword search to AI-driven conversational interfaces, and how retailers and SEOs must adapt strategies in the face of measurement challenges and attribution "black holes" created by AI search engines. The discussion provides actionable takeaways for staying competitive amid noise and data disruptions, emphasizing the importance of intent mapping, infrastructure readiness, and a pragmatic, phased measurement approach.

Main Discussion Points & Insights

1. From Keyword to Conversation: The Search Interface Revolution

• Key Insight (01:44–03:43):
  The fundamental shift isn’t so much in consumer behavior, but in the search interface. Search is now conversational, no longer strictly keyword-driven. This shift changes discovery dynamics, intent understanding, and attribution methods—impacting how brands interact with and are discovered by consumers.
• Notable Quote:
  “We went from keywords to conversation and how consumers are interacting with and discovering brands and products will never be the same.” – AJ (01:44)

2. Consumer Fundamentals Remain

• Key Insight (03:43–04:35):
  While the platform has changed, human behavior hasn’t. People still follow predictable buyer journeys and make emotional, sometimes illogical, decisions.
• Notable Quote:
  “The interface has changed, but the consumer hasn’t...Your customer's still pretty much the same as they were a couple years ago.” – AJ (03:43)

3. The Data “Black Hole” and Changing Analytics

• Key Insight (05:09–07:57):
  Modern analytics show attribution blind spots because AI search sources, like ChatGPT, don’t cleanly report in existing tools. Marketers are missing actionable data; traditional keyword intent inference is replaced by richer, real consumer intent via conversational queries—but visibility is limited.
• Notable Quote:
  “There is no search console from ChatGPT and Perplexity AI mode is bundled in with just web traffic at Google…everyone sort of sees has a donut hole in their analytics.” – AJ (05:09)
• Opportunity:
  Direct conversation allows for truer intent mapping, eliminating guesswork in interpreting keywords.

4. Noisy Data: Google's Invisible Update & Rank-Tracking Limitations

• Key Insight (08:35–14:15):
  Google’s unannounced removal of the 100-result SERP feature has artificially inflated impression numbers in SEO tools and analytics—now corrected, causing sharp drops. AI search tools and bots have amplified data noise, making traditional rank tracking unreliable.
• Notable Quote:
  “There’s been a lot of noise in the signal…your data has, is dirty right now. Those impression spikes…at least 10, 20% of that was noise." – AJ (08:35)
• Recommendation:
  Don't try to force traditional rank tracking models onto AI search results—they behave differently (probabilistic and personalized), and will corrupt your data with inapplicable methods.

5. Measurement Horizons: How to Move Forward

• Key Insight (15:54–20:38):
  AJ suggests a "three horizon" approach:
  • Horizon 1 (NOW): Correct inflated metrics, recalibrate expectations, and communicate proactively to stakeholders.
  • Horizon 2 (NEAR): Begin tracking AI share of voice and AI overview visibility for directional attribution.
  • Horizon 3 (FAR): Await development of AI-native measurement/attribution tools; focus on manageable steps.
• Notable Quote:
  “Don’t rush out and try to replace rank tracking with GenAI data. You’re going to get dirty data into the system...have a visibility model and leave it there.” – AJ (13:48, 19:31)
  • Practical Tip:
    Re-examine year-over-year impression and click data. Expect a 20–40% inflation from bot noise, not actual audience growth.

6. Moving from Visibility to Action

• Key Insight (22:06–24:18):
  2025 is "the year of visibility"—organizations must first address visibility gaps on new AI-powered interfaces and search vectors. But the real differentiator for 2026 and beyond is conversion of visibility into meaningful action and proactive, customer-centric optimization.
• Notable Quote:
  "Turn on some flashlights, get some data, understand your visibility, but don't go so crazy thinking that that's the end state...you’re going to have to move to action." – AJ (22:49)

7. Intent Mapping Is Central—But Needs to Get Deeper

• Key Insight (24:45–30:17):
  Traditional “intent mapping” is too shallow if it stops at “transactional/commercial/navigational”. Brands need to map granular intent to content, ads, and influencer strategies, layered over established customer journey maps.
  • Use AI’s conversational interface to understand and serve deeper intent.
• Notable Quote:
  “If your intent mapping ends at transactional, commercial, navigational, I would argue you don't have intent mapping.” – AJ (24:45)

8. Infrastructure: Ensure AI Can Find and Use Your Content

• Key Insight (27:23–32:23):
  • Many LLM-powered bots (like ChatGPT) have trouble crawling and rendering modern web features (e.g., JavaScript-heavy components).
  • Retailers must audit and update infrastructure, ensuring feeds, schema markup, and structured data are optimized for bots—not just human users.
  • Start with enhancing feeds; it’s scalable and helps both paid and organic channels.
• Notable Quote:
  “AI itself will consume most of your content on behalf of a consumer…AI is kind of your gate.” – AJ (29:29)
  • Action Item:
    “Sit next to somebody technical…say, show me what ChatGPT’s training bot sees when they visit my category page.”

9. Fundamentals Still Matter—and SEOs Are Well-Equipped

• Key Insight (32:23–34:25):
  The core principles haven’t been discarded; this is more a matter of prioritization than learning wholly new tactics. SEOs who’ve mastered Google’s black box can adapt to AI search with the same curiosity and rigor.
• Notable Quote:
  “You demystified the first black box, which was Google itself…We’re going to do the same thing with AI search.” – AJ (33:16)

Memorable Quotes & Moments

• On AI Search Strategy:
  “Don’t try to replicate traditional rank tracking and search positioning with AI search. Rank tracking was way more deterministic. LLMs are probabilistic and much more personalized.” – AJ (13:34)

• On Industry Readiness:
  “Anyone tells you they have all the answers, you should run away.” – AJ (15:54)

• On Measurement:
  “Run those as simultaneous clocks. Not linear. Now, near, far. They should be three clocks running at the same time, three horizons.” – AJ (15:58)

• On the Nature of the Shift:
  “AI itself will consume most of your content on behalf of a consumer…AI decides if it’s a bridge or a barrier between you and the customer.” – AJ (29:29)

Key Takeaways & Action Steps

1. Audit Your Data:

Revisit impression/click metrics for the past year; calibrate for noise and be ready to explain anomalies to stakeholders.
[14:15]

2. Update Measurement Approach:

Adopt a horizon strategy—fix dirty data now, establish directional AI visibility tracking, and monitor industry movement for AI-native attribution advances.
[15:54–20:38]

3. Prioritize Deep Intent Mapping:

Don’t settle for basic intent segmentation; map granular, actionable intent to specific touchpoints in the customer journey.
[24:45–27:23]

4. Technical Readiness for LLMs/Bots:

Audit web assets for crawlability and render-ability by AI bots, starting with product feeds and schema.
[27:23–30:17]

5. Stay Calm & Pragmatic:

Despite noisy data and shifting tools, most foundational SEO tactics remain relevant. Prioritize for evolving interfaces rather than reinventing strategy from scratch.
[32:23–34:25]

Notable Timestamps

• 01:44: The interface shift from keywords to AI conversation and its cascading implications
• 05:09: The “donut hole” in analytics due to lack of visibility into AI-driven referrals
• 08:35: Google’s depreciation of the 100-result SERP—impact on impression data and rank tracking
• 13:34: Warnings about using GenAI data to fill attribution voids
• 15:54: AJ’s three-horizon measurement framework
• 22:49: 2025: The year of visibility—and the importance of proactive action
• 24:45: The need for deeper, more actionable intent mapping
• 27:23: Infrastructure concerns: making content accessible to AI bots
• 33:16: SEOs can adapt—demystifying AI search is the next big frontier

Final Thoughts

The retail search landscape is changing fast as AI turns the traditional SEO journey upside down. SEOs must embrace new approaches to measurement and intent while keeping basic technical and content fundamentals strong. Pragmatism, adaptability, and a customer-centric approach to intent are the keys to maintaining visibility—and ultimately, winning—in this new era.