Podcast Summary: Marketing Against The Grain

Episode: We Found Where AI Gets Its Answers (It’s Not Your Website)
Date: April 14, 2026
Hosts: Kipp Bodnar (CMO, HubSpot) & Kieran Flanagan (SVP of Marketing, HubSpot)
Guests: Asia Frost (Head of Answer Engine Optimization, HubSpot), Biri Amiel (Co-founder, xfunnel/X Funnel)

Main Theme & Purpose

This episode dives deep into how AI answer engines (like ChatGPT and Claude) determine which sources to cite and recommend when fielding user prompts. Drawing from large-scale data, the hosts and guests reveal where AI really gets its answers—which turns out not to be your homepage or product pages, but rather blogs, listicles, and a handful of critical social platforms. The team dismantles old SEO thinking, introduces the concept of Answer Engine Optimization (AEO/AO), and demo’s HubSpot’s new tool designed for this AI-dominated search era.

Key Discussion Points & Insights

1. Blogs Are More Relevant Than Ever for AI Citations

[01:54] Asia: “62% of AI citations are coming from blogs and listicles.”
- Citation = AI engine links to a source.
- Mention = AI references a brand/product without a link.
- Influence is built by getting cited, not just by ranking for traffic.
[03:20] Asia: “We actually need to be thinking about the blog as a primary place to be driving our visibility.”
[05:00] Kipp: “When you say influence, you mean influence robots.”
[05:04] Asia: “B2B2C—you know, business to bot to consumer. ...I just made that up.” (Hosts are delighted at the phrase.)

Implication

AI engines “think differently” from traditional SEO; bots visit blogs disproportionately for influence, not necessarily for traffic.

2. Rankings Don't Equal Influence in AI

[07:58] Asia: “When we look at the correlation between what is ranking on Google and what is being cited in LLMs, it is incredibly weak.”
[08:53] Asia: “In ChatGPT, there's almost an inverse relationship. The higher you rank, the less likely you are to show up.”
[09:41] Biri: Users now prompt with longer, hyper-specific questions (average prompt is 23–25 words), unlike typical SEO keyword searches.
[10:22] Asia: “Specificity becomes so, so important. ...This is fantastic news for smaller companies because...you can be in a pretty specialized arena and you can tailor your content to match.”

Implication

Optimizing for AI is about highly specific, tailored content—not top Google ranking or generic keywords.

3. The Shift: SEO KPIs vs Answer Engine Optimization (AEO) KPIs

[12:30] Asia: “If you just look at the direct traffic that HubSpot is getting from LLMs, you would underestimate how much of an influence it is playing in driving people to purchase us.”
[13:59] Kieran: “You should really care about your personalization of content, make it really tailored for your customers. ...Think of this as much more like an influential channel...but it’s much harder to track.”

Implication

AEO’s impact is hard to attribute using traditional analytics—yet it significantly influences buying decisions.

4. Beyond Your Website: The Big 3 Platforms—YouTube, Reddit, LinkedIn

[16:49] Asia: “There are three specific platforms that play a very outsized role in building that trust with LLMs: YouTube, Reddit and LinkedIn.”
[17:40] Biri: “That’s where the answer engines can get a signal, what real people think about a particular brand. ...It adds a whole new dimension of authenticity to your blog and validation on that content.”

Platform-Specific Nuances

[19:21] Asia: “Google owns YouTube. Microsoft...owns LinkedIn. Reddit has signed partnerships with both.”
- AI engines have direct data pipes; you don’t need separate strategies per engine.
[21:32] Biri: “In YouTube, we are seeing them pull from like the transcripts.”
[22:32] Biri: “It also means the bots are watching a lot of TV.”
[22:48] Kipp: “If people are talking shit about you, it’s going to show up in a much more prevalent way in these answer engines than it has previously.”

Implication

Brand reputation management and amplification need to happen proactively on YouTube, Reddit, and LinkedIn—these are now as important as your own website for earning AI trust.

5. AEO Requires Ongoing, Not Set-and-Forget, Effort

[23:23] Asia: “Most citations disappear after six months with a pretty significant percentage changing in one. ...You gotta be on the game.”
[24:23] Biri: “This is an always on thing because the landscape can change quickly....if your competitor takes their eyes off the ball, there is a chance for a new competitor to come in.”

Implication

AEO is dynamic; frequent monitoring, creation and updating of content are required since the sources AI draws from shift quickly.

Notable Quotes & Memorable Moments

Asia: "[We’re] shifting from more of a direct conversion channel to an indirect one. And you know you're successful because your content is getting cited by LLMs..." ([04:37])
Kipp (wry humor): “When you say influence, you mean influence robots.” ([05:00])
Asia (inventing terminology): “B2B2C—you know, business to bot to consumer.” ([05:04])
Asia: “You can’t just look at what has the most backlinks, what has the most keywords. That’s not going to predict what is going to be influential in LLMs.” ([07:58])
Asia: “In ChatGPT, there’s almost an inverse relationship. The higher you rank, the less likely you are to show up.” ([08:53])
Asia: “If you just look at the direct traffic...you would underestimate how much of an influence it is playing in driving people to purchase us.” ([12:30])
Asia: “If people are talking shit about you, it’s going to show up in a much more prevalent way in these answer engines...” ([22:48])
Asia: “SEO is much more stable than AEO....You can't set it and forget it.” ([23:23])

Live Demo: HubSpot AO Tool Walkthrough (28:00–36:00)

Tool Highlights

[25:52] Tool analyzes your brand, competitors, and key customer prompts automatically.
[27:10] Biri: “Each one of these [your products] actually serves multiple ideal customers…questions about a specific product or specific set of problems that they have.”
[28:42] Asia: "When we say prompts to track, we mean these are the questions that your future and current customers are asking AI. And you need to know what AI is saying..."
Tracks:
- Brand visibility: % of AI recommendations or citations mentioning your brand.
- Citation sources: See which domains, articles, or platforms are driving your brand visibility.
- Content/action recommendations: Strategically prioritized, data-backed instructions (sometimes in content-brief style, sometimes even in other languages if required).
[33:58] Asia: “This removes all the ambiguity, it's like, do X, Y, Z and this is the highest priority, so do this first. ...I think something that really differentiates HubSpot AEO from the other tools on the market.”

Actionable Takeaways from This Episode

Double down on blogs and listicles—they’re the #1 driver of AI citations (62% per HubSpot’s data).
Shift mentality: Moving from direct-to-customer SEO to “business-to-bot-to-customer” for visibility.
Optimize for specificity and intent: Target long-tail, hyper-specific queries; generic content won’t win in answer engines.
Track (and manage) your brand footprint across YouTube, Reddit, LinkedIn.
Constantly refresh content: AEO “decays” rapidly—stay active, monitor, and iterate.
Measure new KPIs: Focus on “brand visibility in answer engines”—traditional analytics will underreport AI-driven influence.
Use tools like HubSpot AO Tool to automate prompt-tracking, measure competitive share-of-voice, and receive actionable, prioritized recommendations.

Timestamps for Key Segments

[01:54] – What types of content get AI citations?
[05:14] – Bots’ disproportionate influence via blogs: 20% of bot traffic = 62% of citations
[07:27] – Correlation (or lack thereof) between Google rankings and AI citations
[09:41] – Why long, highly specific prompts change game vs SEO
[16:49] – Why YouTube, Reddit, LinkedIn are the new critical platforms
[23:23] – Citations’ short half-life: why AEO is not static
[25:52] – 36:00 – HubSpot AO Tool live walkthrough: set-up, prompt selection, brand visibility, actionable recommendations

Tone & Language

Causal, direct, data-driven, with dynamic banter and plenty of in-the-trenches marketing wisdom.

This episode is essential listening for marketers recalibrating for an AI-dominated discovery landscape. The message is clear: old SEO tactics are not enough. Influence the bots, stay nimble, and embrace specialized content creation and AEO—not just Google ranking and homepage polish.

Notable quote to remember:
Asia: “B2B2C: Business to bot to consumer.” ([05:04])

Podcast Summary: Marketing Against The Grain

Main Theme & Purpose

Key Discussion Points & Insights

1. Blogs Are More Relevant Than Ever for AI Citations

[01:54] Asia: “62% of AI citations are coming from blogs and listicles.”
- Citation = AI engine links to a source.
- Mention = AI references a brand/product without a link.
- Influence is built by getting cited, not just by ranking for traffic.
[03:20] Asia: “We actually need to be thinking about the blog as a primary place to be driving our visibility.”
[05:00] Kipp: “When you say influence, you mean influence robots.”
[05:04] Asia: “B2B2C—you know, business to bot to consumer. ...I just made that up.” (Hosts are delighted at the phrase.)

Implication

AI engines “think differently” from traditional SEO; bots visit blogs disproportionately for influence, not necessarily for traffic.

2. Rankings Don't Equal Influence in AI

[07:58] Asia: “When we look at the correlation between what is ranking on Google and what is being cited in LLMs, it is incredibly weak.”
[08:53] Asia: “In ChatGPT, there's almost an inverse relationship. The higher you rank, the less likely you are to show up.”
[09:41] Biri: Users now prompt with longer, hyper-specific questions (average prompt is 23–25 words), unlike typical SEO keyword searches.
[10:22] Asia: “Specificity becomes so, so important. ...This is fantastic news for smaller companies because...you can be in a pretty specialized arena and you can tailor your content to match.”

Implication

Optimizing for AI is about highly specific, tailored content—not top Google ranking or generic keywords.

3. The Shift: SEO KPIs vs Answer Engine Optimization (AEO) KPIs

[12:30] Asia: “If you just look at the direct traffic that HubSpot is getting from LLMs, you would underestimate how much of an influence it is playing in driving people to purchase us.”
[13:59] Kieran: “You should really care about your personalization of content, make it really tailored for your customers. ...Think of this as much more like an influential channel...but it’s much harder to track.”

Implication

AEO’s impact is hard to attribute using traditional analytics—yet it significantly influences buying decisions.

4. Beyond Your Website: The Big 3 Platforms—YouTube, Reddit, LinkedIn

[16:49] Asia: “There are three specific platforms that play a very outsized role in building that trust with LLMs: YouTube, Reddit and LinkedIn.”
[17:40] Biri: “That’s where the answer engines can get a signal, what real people think about a particular brand. ...It adds a whole new dimension of authenticity to your blog and validation on that content.”

Platform-Specific Nuances

[19:21] Asia: “Google owns YouTube. Microsoft...owns LinkedIn. Reddit has signed partnerships with both.”
- AI engines have direct data pipes; you don’t need separate strategies per engine.
[21:32] Biri: “In YouTube, we are seeing them pull from like the transcripts.”
[22:32] Biri: “It also means the bots are watching a lot of TV.”
[22:48] Kipp: “If people are talking shit about you, it’s going to show up in a much more prevalent way in these answer engines than it has previously.”

Implication

Brand reputation management and amplification need to happen proactively on YouTube, Reddit, and LinkedIn—these are now as important as your own website for earning AI trust.

5. AEO Requires Ongoing, Not Set-and-Forget, Effort

[23:23] Asia: “Most citations disappear after six months with a pretty significant percentage changing in one. ...You gotta be on the game.”
[24:23] Biri: “This is an always on thing because the landscape can change quickly....if your competitor takes their eyes off the ball, there is a chance for a new competitor to come in.”

Implication

AEO is dynamic; frequent monitoring, creation and updating of content are required since the sources AI draws from shift quickly.

Notable Quotes & Memorable Moments

Asia: "[We’re] shifting from more of a direct conversion channel to an indirect one. And you know you're successful because your content is getting cited by LLMs..." ([04:37])
Kipp (wry humor): “When you say influence, you mean influence robots.” ([05:00])
Asia (inventing terminology): “B2B2C—you know, business to bot to consumer.” ([05:04])
Asia: “You can’t just look at what has the most backlinks, what has the most keywords. That’s not going to predict what is going to be influential in LLMs.” ([07:58])
Asia: “In ChatGPT, there’s almost an inverse relationship. The higher you rank, the less likely you are to show up.” ([08:53])
Asia: “If you just look at the direct traffic...you would underestimate how much of an influence it is playing in driving people to purchase us.” ([12:30])
Asia: “If people are talking shit about you, it’s going to show up in a much more prevalent way in these answer engines...” ([22:48])
Asia: “SEO is much more stable than AEO....You can't set it and forget it.” ([23:23])

Live Demo: HubSpot AO Tool Walkthrough (28:00–36:00)

Tool Highlights

[25:52] Tool analyzes your brand, competitors, and key customer prompts automatically.
[27:10] Biri: “Each one of these [your products] actually serves multiple ideal customers…questions about a specific product or specific set of problems that they have.”
[28:42] Asia: "When we say prompts to track, we mean these are the questions that your future and current customers are asking AI. And you need to know what AI is saying..."
Tracks:
- Brand visibility: % of AI recommendations or citations mentioning your brand.
- Citation sources: See which domains, articles, or platforms are driving your brand visibility.
- Content/action recommendations: Strategically prioritized, data-backed instructions (sometimes in content-brief style, sometimes even in other languages if required).
[33:58] Asia: “This removes all the ambiguity, it's like, do X, Y, Z and this is the highest priority, so do this first. ...I think something that really differentiates HubSpot AEO from the other tools on the market.”

Actionable Takeaways from This Episode

Double down on blogs and listicles—they’re the #1 driver of AI citations (62% per HubSpot’s data).
Shift mentality: Moving from direct-to-customer SEO to “business-to-bot-to-customer” for visibility.
Optimize for specificity and intent: Target long-tail, hyper-specific queries; generic content won’t win in answer engines.
Track (and manage) your brand footprint across YouTube, Reddit, LinkedIn.
Constantly refresh content: AEO “decays” rapidly—stay active, monitor, and iterate.
Measure new KPIs: Focus on “brand visibility in answer engines”—traditional analytics will underreport AI-driven influence.
Use tools like HubSpot AO Tool to automate prompt-tracking, measure competitive share-of-voice, and receive actionable, prioritized recommendations.

Timestamps for Key Segments

[01:54] – What types of content get AI citations?
[05:14] – Bots’ disproportionate influence via blogs: 20% of bot traffic = 62% of citations
[07:27] – Correlation (or lack thereof) between Google rankings and AI citations
[09:41] – Why long, highly specific prompts change game vs SEO
[16:49] – Why YouTube, Reddit, LinkedIn are the new critical platforms
[23:23] – Citations’ short half-life: why AEO is not static
[25:52] – 36:00 – HubSpot AO Tool live walkthrough: set-up, prompt selection, brand visibility, actionable recommendations

Tone & Language

Causal, direct, data-driven, with dynamic banter and plenty of in-the-trenches marketing wisdom.

Notable quote to remember:
Asia: “B2B2C: Business to bot to consumer.” ([05:04])