The B2B Podcast Index
Index
All categories
MarketingSalesSaaSFinanceHROpsLeadershipCustomer SuccessAI & DataProductStartups & FoundersRevOpsEngineering & DevTools
MethodologySubmit
Best of:MarketingSalesSaaSFinanceHROpsLeadershipCustomer SuccessAI & DataProductStartups & FoundersRevOpsEngineering & DevTools
An independent project byFame
SearchBest episodesGuestsInsightsMethodologySubmit a podcast
Index/Marketing/The Digital Marketing Podcast
The Digital Marketing Podcast artwork

The Hubspot CMO Interview - Kipp Bodnar on AI, Answer Engine Optimisation and the Future of Marketing

The Digital Marketing Podcast · 2026-02-17 · 21 min

0:00--:--

Key moments - from our scoring

Substance score

64 / 100

Five dimensions, 20 points each

Insight Density13 / 20
Originality11 / 20
Guest Caliber16 / 20
Specificity & Evidence12 / 20
Conversational Craft12 / 20

Kipp Bodnar breaks down how 2026 represents a fundamental reset for marketing discovery and execution. With answer engines like ChatGPT, Gemini, Perplexity, and Claude becoming primary discovery channels, traditional SEO attribution is breaking down - marketers must now track both citations (trackable links) and mentions (brand visibility without direct links). AEO differs from traditional SEO through ultra long-tail queries (40-60 words versus 4-6), the importance of structured data and FAQs for LLM parsing, and a multi-channel strategy including Reddit, affiliate partnerships, and creator content. Bodnar shares a practical hack: use Google Gemini to watch video recordings of your workflows and identify automation opportunities. He emphasizes that most marketers are still in testing phases with AI assistants rather than full agent deployment, and that rising ad costs (Meta up 18% year-over-year) are forcing budget shifts toward cheaper discovery channels like AEO. HubSpot's strategy positions itself as the context layer for AI, providing the data and infrastructure that powers better agent outcomes through products like their customer service agent, prospecting agent, and upcoming marketing AI tools.

Key takeaways

  • →Start with answer engine optimization (AEO) before building complex AI agents, as it has high growth trajectory, faster time-to-value than traditional SEO, and less optimization competition right now.
  • →Track AEO visibility through both citations (trackable links) and mentions (brand references) rather than relying on the old click-attribution model, since LLMs surface information differently across platforms.
  • →Use Google Gemini's video-watching capability to screen record your repetitive workflows, upload them, and identify which tasks can be automated with AI agents - a faster path than abstract strategy documents.
  • →Commit fully to emerging AI channels with dedicated resources and investment rather than treating them as side projects, or risk the innovator's dilemma of optimizing outdated tactics while losing runway.
  • →Build AI-enabled content generation for images, video, and text as table stakes, since rising ad costs and declining organic reach mean marketers must tell remarkable stories at scale faster than ever.

Guests

Kipp Bodnar

Topics in this episode

AI agentsAnswer Engine Optimization (AEO)ClaudeChatGPTHubSpotPerplexityGoogle GeminiProspecting agentCustomer service agentLoop Marketing playbook

Questions this episode answers

What is answer engine optimization (AEO) and how is it different from traditional SEO?

AEO targets ultra-long-tail queries (40-60 words) used in ChatGPT, Gemini, and Claude rather than traditional 4-6 word Google queries. It requires making information LLM-friendly through structured data, FAQs, and clear definitions rather than long-form content, and involves a multi-channel strategy including Reddit, affiliate partnerships, and creator content rather than just links.

How do you measure ROI from answer engines if attribution tracking doesn't work the same way?

You track both citations (trackable links back to your site with specific reasons) and mentions (brand references without links). Citations retain some traditional attribution, but mentions require brand metrics like share of voice, sentiment analysis, and correlation with referral or direct traffic - similar to how social media attribution worked.

What's the practical first step a marketer should take to adopt AI in their workflows?

Record yourself performing your most frequent, disliked task, narrate what you're doing, upload the video to Google Gemini, and ask it how to automate that workflow with AI. This reveals whether agents, tools, or other automation can help faster than theoretical strategy documents.

Why are most marketing teams building AI assistants rather than full agents right now?

Marketing problems are more complex and 'wicked' compared to customer service, with less formulaic outcomes and harder to measure results. Assistants like Claude, ChatGPT, and HubSpot's Breeze are easier to deploy at scale, while only bleeding-edge marketers are building custom agents on platforms like N8N, Gum Loop, or Lovable.

How should marketers balance traditional demand generation with emerging AI-driven discovery channels?

Rather than balance, shift time and money to new channels because organic search and social effectiveness have declined due to AI content saturation and algorithmic changes. With ad costs rising 18% on Meta, AEO and influencer marketing become cheaper alternatives to offset CAC increases.

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

13 / 20

The episode delivers useful tactical advice (AEO tracking, Gemini video analysis hack, LLM-friendly content chunking) and frames three strategic priorities for 2026 marketing. However, significant portions consist of high-level framings, acknowledged unknowns ('I don't know if balance might is the right way to think about it'), and repetition of already-circulating themes around AI adoption, attribution challenges, and first-mover advantage. The substantive density drops noticeably in the second half when discussing HubSpot's product roadmap and the Loop Marketing playbook without concrete details.

Google, Gemini, I don't know if you know this. Daniel will watch any video up to an hour long. Not just transcribe it, but we'll watch the video and can understand everything that happens. So take the thing that you have to do frequently, the most that you dislike. Screen record yourself doing that thing, you know, going through the actions, narrating what you're doing. Upload that into Gemini and ask Google Gemini how you can use AI to help you automate that thing.
there's a section of what is a CRM? Like we don't assume that you know what A CRM is, right? And we have our definition to help shape how the LLMs define and think about CRM.

Originality

11 / 20

The episode repackages established frameworks (first-mover advantage, innovator's dilemma, attribution challenges in AI discovery) with minimal counterintuitive insight. The AEO concept itself is not new to the B2B marketing audience by early 2026. The Range book reference and kind/wicked problem framing add some depth, but the conversation largely reinforces existing thinking rather than challenge it. The practical Gemini hack is useful but tactical, not conceptually original.

there's a huge first mover advantage because it's a function of opportunity and competition. When things are new, they're less optimized, there's more opportunity and there's less competition.
this is classic innovator's dilemma. I don't have time, so I'm gonna do it the old way. I'm gonna optimize the old way and you run outta runway on the old way.

Guest Caliber

16 / 20

Kipp Bodnar is HubSpot's CMO of 11+ years and has demonstrably shaped modern B2B marketing discourse through Loop Marketing and AEO frameworks. The host explicitly acknowledges his influence across the industry. However, the episode is partly a product evangelist platform - there is clear tension between guest expertise and HubSpot commercial interest (AEO grader, upcoming marketing AI tools, Loop playbook). For a B2B marketer, his perspective is valuable but should be weighted for bias.

CMO of HubSpot
I've seen some of the data and there's some amazing numbers kind of come out in terms of the impact that you've had

Specificity & Evidence

12 / 20

The episode provides some concrete data points (meta ads up 18%, examples of HubSpot's CRM page definition structure, Gemini's one-hour video limit) but lacks detailed case studies, measurable outcomes, or named customer examples. Claims about AEO adoption ('huge adoption of our customer service agent,' 'less adoption of marketing agents') are unsubstantiated with numbers. The HubSpot changes are mentioned vaguely ('some awesome agents out,' 'marketing AI tools coming very soon') with no specifics on features, launch timing, or performance metrics.

the cost across the meta network is up 18%
on our CRM page, like there's a section of what is a CRM? Like we don't assume that you know what A CRM is, right?

Conversational Craft

12 / 20

The host asks solid opening questions ('Where do you think marketers really need to be keeping things on their radar?') and shows genuine curiosity with follow-ups like the demand gen balancing question. However, the host rarely pushes back on assertions, doesn't press Bodnar on vague claims (e.g., 'marketing is getting disrupted the most' without evidence), and shifts frequently to softball praise and product promotion. A sharper interviewer would challenge the lack of specifics on HubSpot's new tools or probe deeper on the 18% meta cost increase's implications.

I'll be honest with you, I think that 2026 will be the biggest year of change in marketing in history. Likely I feel like.' [Host does not probe the confidence or specificity of this claim]
I'm gonna pay you a big compliment now, which I don't normally do.

Conversation analysis

Computed from the transcript - who did the talking, and the words that came up most.

Most-used words

marketing70digital39riverside37audio37daniel23rowles19kipp18hubspot12agents12search9change8marketers8chat8world8show7interesting7

Episode notes

In this episode of The Digital Marketing Podcast, Daniel Rowles sits down with Kipp Bodnar, CMO of HubSpot, to discuss what may be the most disruptive year in marketing history. Kipp believes that 2026 could represent the biggest single wave of change our industry has ever seen. Weeks feel like months. Channels are fragmenting. Discovery is shifting. AI agents are entering workflows. And traditional attribution models are starting to break down. From Answer Engine Optimisation to AI agents, rising ad costs to workflow automation, this conversation explores how marketers can stay ahead when the pace of change is accelerating. In This Episode: Why 2026 may be the biggest year of change in marketing history Kipp explains why discovery, personalisation and team workflows are being reshaped simultaneously. Answer Engine Optimisation vs traditional SEO The shift from short keyword queries to ultra long-tail, conversational prompts of 40 to 60 words changes everything. Mentions vs citations in AI search Why brand visibility in ChatGPT, Gemini and Claude is more complex than link-based SEO ever was.

Full transcript

21 min

Transcribed and scored by The B2B Podcast Index.

Welcome back to the Digital Marketing Podcast, brought to you by target internet.com. My name's Daniel Roll, and in this episode we're talking AI, answer engine optimization and the future of marketing with Kip Bodnar, CMO of HubSpot. I.

riverside_daniel_rowles_raw-audio_digital_marketing p_0207: Okay, Kip, good to have you here with us. It kind of feels like we're heading to another big wave of change like we constantly are in digital marketing. As we get into 2026 and January's flown by already, we should be well into it already. Where do you think marketers really need to be keeping things on their radar?

What is it they should be looking out for? riverside_kipp_raw-audio_digital_marketing p_0205: I'll be honest with you, I think that 2026 will be the biggest year of change in marketing in history. Likely I feel like. Weeks or months happen in days at this moment.

And it is completely crazy. I think if you're thinking about what marketers really have to pay attention to in a very focused level, it would be, what are the new ways that your company can get discovered? And that would be things like answer engine optimization depending broader rollout of chat GPT ads, using AI tools to, you know, do better content production to, you know, show up better in algorithmic discovery on social media, on YouTube, et cetera. Like that is job one.

Job two is probably, what are the. What's the data that I need to use with my AI agents to drive personalization and a more customized buyer journey? And then what are the agents that I need to extend the effectiveness of my team and how do I, you know, buy or build those agents? Right.

And that's, I think those are the three things that are gonna be the dominant themes of this year. riverside_daniel_rowles_raw-audio_digital_marketing p_0207: Let's get into each of those a little bit then as well. So. Let's kind of maybe start with that agent workflow kind of piece.

So what changes are you actually seeing in how people are changing their day-to-day workflows? And how is AI kind of baking into things? Because what I've seen is a lot of, there's a lot of people very excited about it. But they're at the stage at the moment where they're testing and they're testing and they're testing, but they haven't really baked it in necessarily.

And obviously HubSpot offers a lot of the tools to do that. So it'd be kind of interesting to see what your take on it is. riverside_kipp_raw-audio_digital_marketing p_0205: Yeah, so, I think we're seeing a lot. I think what's interesting, right?

When agents came on the scene, it was kind of the opposite of the second generation of the internet, web 2.0. The kind of the social web marketing was. The most popular category of software and technology.

There was just a ton of opportunity in software and technology. But there's an awesome book called Range. I don't know if you've ever read it, in that book, there's that concept of kind problems versus wicked problems, you know, compares chess, which. While hard, like there are rules and you can optimize and you can learn and get feedback loops to like tennis, which is, wow, you can't predict the angles.

They're not like, there are far more variables and it's hard to get feedback loops on that. And if you extrapolate that to ai, things like customer service, like at hubs, we're seeing huge adoption of our customer service agent. Our customer agent is. Going crazy.

There's less adoption of marketing agents, I think across the board. And if you look at even just startups getting funded in the marketing category compared to sales or customer success, they're a lot less because the problems are harder and they're more complex. And the best outcome is less formulaic, which is one of the reasons I love marketing. One of the reasons I think you probably love marketing as well.

And so with that, you have. I think some very specific things that are happening in marketing. Marketing is more, I think more about marketers using assistance. Like ARB Breeze, assistant at HubSpot, Claude Chat, GPT, et cetera.

Then agents So far, and I think there's kind of the bleeding edge of marketers who are starting to build agents, and they're building agents either within HubSpot, they're building agents on N eight N or Gum Loop, or with Claude Code or with Lovable All. All those things are awesome, but they're. Those are definitely like the minority of the world right now. The number one thing I would say, if you're somebody out there and you're like, Hey, yeah, you know, I've gotten fairly proficient with using Claude or chat GBT or Breeze or something to help me do some of my core marketing work, what's the next step?

I have a special hack that I think is awesome. Google, Gemini, I don't know if you know this. Daniel will watch any video up to an hour long. Not just transcribe it, but we'll watch the video and can understand everything that happens.

So take the thing that you have to do frequently, the most that you dislike. Screen record yourself doing that thing, you know, going through the actions, narrating what you're doing. Upload that into Gemini and ask Google Gemini how you can use AI to help you automate that thing. And.

A lot of the time will tell you about an agent. Sometimes it'll tell you there's not that much you can do. That's kind of rare, but it's a great insight into like, oh, I understand how to take this thing that I know really well and take it to the new modern way of doing it. riverside_daniel_rowles_raw-audio_digital_marketing p_0207: I love that.

I think that's a really brilliant practical tip. And I hadn't thought of that at all. So we're gonna, we're gonna give that a go immediately, straight away riverside_kipp_raw-audio_digital_marketing p_0205: please, lemme know how it riverside_daniel_rowles_raw-audio_digital_marketing p_0207: it. I think it's really interesting because I think what you say about most people haven't adopted that kind of cutting edge side of things.

Like we've been playing with Claude Cowork and all these kind of things at the moment as well. And I think it's actually realizing the fact that, you know, we are gonna be in this constant loop of adoption at the moment as well and baking that innovation and adoption to what you're doing every day is gonna become, is become really riverside_kipp_raw-audio_digital_marketing p_0205: Yeah. The technology is already far ahead of where it needs to be. It's the human.

Adoption learning, training, evolution. That's really the next big thing here. riverside_daniel_rowles_raw-audio_digital_marketing p_0207: We, you touched on to a EO. And it was interesting, we went for this kind of evolution of what are we gonna call it?

Is it GEO? Is it a EO? And then I remember on the HubSpot you had the HubSpot AI grader and it become the a EO grader. And we've been showing that to people along as well.

It's kind of changing the way we think about being discoverable and that's kind of breaking down traditional attribution to what's your gonna take on things at the moment. riverside_kipp_raw-audio_digital_marketing p_0205: What's interesting, right? Is there was this golden age of marketing attribution with Facebook ads and Google ads and traditional SEO where it's like, oh, click visit customer. Like, yeah, there's some other stuff, but like I feel pretty confident that is, like the majority of stuff's happening there.

I can do an equation around that, assign some value and move on, right? You're bringing up the right point, which is when it comes to being found in chat, GBT or Gemini or Perplexity or Claude it's very different right, in that all of those models look at different information and the tracking is much harder. 'cause there, there are two, two aspects of showing up in those results. There's mentions, which just your company name is mentioned, but there's no link or way to get back to you.

And then there's a citation, which is like, there's a specific link for a specific reason back to you. Right. So with the citations, you have some of that old school attribution that you can do, but that's not the complete picture or the complete value that you're getting. And with the mentions that gets into like the age old attribution problem that we've looked at with some of the work in social media, brand marketing, et cetera, where you're looking at, oh, what's my share of voice?

What's my sentiment of the way I'm being mentioned is my number and density of mentions going up or down, right? And how do I correlate that with referral traffic or direct traffic or other ways to understand how I am growing, right? And that is a big change in how we measure an attribute. What was one of the core channels of marketing search and discovery?

riverside_daniel_rowles_raw-audio_digital_marketing p_0207: I'm fascinated by this 'cause I'm pretty convinced that we've already been doing it wrong all along anyway, from the point of view that we were relying on attribution modeling, but it wasn't actually painting as half the picture anyway. So it's it's interesting we're getting into this space. So, so with this where do you think the big opportunities for marketers are with AI search and this thing about kind of first lead advantage?

Do you think there's an opportunity there riverside_kipp_raw-audio_digital_marketing p_0205: Look my, one of my core beliefs in marketing is always that like. There's a huge first mover advantage because it's a function of opportunity and competition. When things are new, they're less optimized, there's more opportunity and there's less competition. And like those two things lead to a real step function change.

And also when you're starting something versus optimize something, the numbers are so small, you know, for everybody and everybody's kind of learning the same way, right? Which is awesome that you can make, literally make exponential progress. You know, if you go from having 50 visits from chat gpt.com, you can go to 500 visits.

That's an achievable thing for any company, right? And that is literally exponential progress. And that's where we are at today, is that you can actually really think about how you show up. And one of the things I like to remind everybody kind of point out, you remember the early days of traditional search engine optimization.

It was super powerful. But what was it in terms of time to value? Slow, right? I mean, I imagine, Daniel, you've ran projects where it took 3, 6, 12 months till you got any meaningful search traffic, right?

These a EO engines. They're much faster, you know, same day, like you don't have the same page rank crawlability issues of traditional SEO, so you can get time to value much faster and make that change happen much faster, which I think are a couple really big opportunities for marketers in this changing landscape. You riverside_daniel_rowles_raw-audio_digital_marketing p_0207: I think it's a hugely valid point. I remember I used to run a search agency back in the dark ages of SEO, and we wouldn't do a contract less than 12 months because we knew it would take us at least six months to even start seeing some movement.

So yeah, you're a hundred percent correct. I'm gonna pay you a big compliment now, which I don't normally do. We're interviewing people, but the key thing is if you look at HubSpot, I think you are as renowned for your product as you are for your marketing. And you've been CMO for getting on for 11 years now and actually the way you've looked at that marketing, I think has been hugely impactful and influential across, across all kind of aspects of marketing.

So what are the changes that you've made at HubSpot when it comes to, because I've seen some of the data and there's some amazing numbers kind of come out in terms of the impact that you've had and what other marketing teams can learn from that for how you've approached aeo. riverside_kipp_raw-audio_digital_marketing p_0205: Yeah. So if you think about what we've done on the a EO side first I think we've made a decision. I think all great marketing comes from like strategic conviction.

And we made the decision, like, we believe this is a core way every company is gonna get discovered and grow in the future, and this has to be a core competency. Right. And this is not a nice to have after hours project. Like we have to be good at this, and we have to spend the time and effort and money to be good at this.

So that's step one. And I think that I would highly recommend if you're going to do a EO like you do it don't partially do it, like commit to doing it. The next part of this is. Looking at the science behind a EO and what's different about.

Traditional search to a EO one is that A lot of a EO is about like ultra long tail, really complex queries, right? Where instead of four to six words in Google, you're looking at 40 to 60 words in chat, GPT or Gemini or Claude or what have you. And it's like, hell, here's my business, baby. Here's some data about my business.

This is the problem I'm trying to solve. What tool should I use or how should I think about this? And that is. Hugely different than traditional search, right?

And so the number one thing I think we have tried to do is have more information available and have that information available in. Friendly ways to LLMs, which starts at like how the robots actually can access your site, moves to how you chunk organized data FAQs really instead of long nar. Like the best example is . On our CRM page, like there's a section of what is a CRM?

Like we don't assume that you know what A CRM is, right? And we have our definition to help shape how the LLMs define and think about CRM. Right? And that you wouldn't necessarily do that in the world of SEO 'cause like that wouldn't happen.

You'd have these much longer pages 'cause you're, you were counting on humans coming and reading and parsing that all together versus machine reading and parsing it all together. And so. That's definitely a big change we've made. The other thing about a EO that I think doesn't get talked about enough is that SEO was very much like, can I get some links?

Can I get some links and can I get some good quality links? And yes, it's the infrastructure and architecture, right. But a lot of it was like a link game where like AO is much broader. You know, you wanna know for certain prompts what are the sources people are pulling from and like on chat GPT, it's Reddit, but it's also like.

Some software ranking websites and other things that in some way are like affiliates, like affiliate marketing can impact how you rank any, like partnerships you do with creators or YouTubers like that can impact, their content could show up and impact how you rank. You have to have a more multi-channel strategy to also succeed in this new world. riverside_daniel_rowles_raw-audio_digital_marketing p_0207: So I'm interested 'cause we talk about this new world and I'm just thinking about how do we balance off then traditional demand gen with these more kind of emerging AI driven channels that we're looking at as well.

So how do we balance those two things off? riverside_kipp_raw-audio_digital_marketing p_0205: I don't know if balance might is the right way to think about it. Because if I look at what's happening in the world, and you can correct me if you're working with anybody where this is not true, it's like there's a changing way Information is discovered both through organic search and also on social media. 'cause you have the rise of AI content, AI swap and everything on social media.

So there's the plays for search engine marketing, social media marketing are not as effective as they used to be traditionally. Right? Because of that. A lot of companies dare say most companies are now are moving time, money and investment to ads and spending more on ads.

And because of that, you're seeing ad costs go up a lot. riverside_daniel_rowles_raw-audio_digital_marketing p_0207: Yeah, exactly. riverside_kipp_raw-audio_digital_marketing p_0205: You know, the I think in the last year the cost across the meta network is up 18%. I looked and found the other day, and like, that's a lot of money.

You know, that's like, like, it's almost losing one out of every five ads just to inflation of cost. Right. So that's why I question balancing because it's hard to balance when you're like. Your marketing CAC is being shifted in such a dramatic way, and so the only way to offset those costs increase are to adopt new, cheaper ways of reaching your customers.

A EO is one of them. There are, there's also influencer marketing. There's a AI creative ad engine optimization to do better targeting so that you can shrink that ad cost back down. There's like lots of plays, but you have to know what those plays are and at least be playing in one or two of those areas.

I think I. riverside_daniel_rowles_raw-audio_digital_marketing p_0207: So that's, that leads us onto a good point then. So based on that, what kind of skills and capabilities should marketers be kind of delivering what their teams need to have over the, maybe the next year? If you kind of use your crystal ball, where do you think this is going and the skills they're gonna need and they're gonna need to develop that capability?

riverside_kipp_raw-audio_digital_marketing p_0205: I think that is a really tough question. I think curiosity and learning is number one. Are you curious and learning and can you show, not tell? Like are you prototyping?

Are you build, you know, are you building quick AI decks? Are you building quick prototypes and lovable or replicate or whatever you're using, right? Like it's that becoming the motion and that it's like not theoretical, it's not word documents. It's becoming like, oh, we could do this and this is what it would look like.

And it's like, great, now let's take that and take that to market and bring that to market in a real and meaningful way. I think that is like almost a way of working in addition to skills that has to really change a lot. riverside_daniel_rowles_raw-audio_digital_marketing p_0207: Yeah, it's interesting. We had the lead consultancy from Deloitte coming and saying actually that, you know, that baking innovation into everything.

It can't be a nice to have now. It needs to be, you know, it's essential to everything. So that learn, test, and learn, test riverside_kipp_raw-audio_digital_marketing p_0205: The world's changing Too much. Costs are changing too much that you have to have this true kind of innovation angle on your team.

riverside_daniel_rowles_raw-audio_digital_marketing p_0207: So with all this in mind then, so what are the first steps? What if we want to go away and actually say, right, how are we gonna move the needle? What are we gonna do about this? What should people go away and think about doing?

riverside_kipp_raw-audio_digital_marketing p_0205: If you're thinking about your marketing strategy, largely depends. It's like, are you a solo market? Are you a team of a hundred marketers? Somewhere in between, like largely depends.

But what you're, at the end of the day, what you're saying is, I've got some emerging channels that I wanna take. Advantage of and how am I gonna do that? I would suggest starting with a EO, because it has, high growth trajectory. It's still early.

How am I gonna track my visibility and how I'm showing up in these tools? And we have a great free product, a EO Greater, that gives you a baseline, but then you can go and there's a bunch of great tools out there to to do that. And. Then you can actually start taking actions to improve how you show up there.

That's awesome. Then you need to, if you are not doing like fully AI enabled content generation of images, of videos of text, that's going to greatly accelerate your ability to tell remarkable stories at a fast pace that now needs to happen. Right. And then the next part of that is like, what are the, .

Agents or workflows I need to build to work in this new AI first world. riverside_daniel_rowles_raw-audio_digital_marketing p_0207: I think just on that, that last point as well, that there needs to be some investment upfront to change the working practices. 'cause otherwise you're doomed just to keep doing the same things and experimenting, but not really embedding it in. riverside_kipp_raw-audio_digital_marketing p_0205: this is classic innovator's dilemma.

I don't have time, so I'm gonna do it the old way. I'm gonna optimize the old way and you run outta runway on the old way. riverside_daniel_rowles_raw-audio_digital_marketing p_0207: Exactly, so, riverside_kipp_raw-audio_digital_marketing p_0205: the problem. riverside_daniel_rowles_raw-audio_digital_marketing p_0207: I just wanna give you a chance to talk about what's kind of going on with HubSpot and the changes that are happening with the platform at the moment.

I just wanna give a bit of a plug to Inbound, because Inbound, if you're not familiar, everyone is HubSpot conference comes up every September. It's in Boston again this year. And it is my favorite conference and those that know me is the one that I go to. Every year as well.

And we always get a good few interviews and it always sparks my thinking. And it's the one I go to and don't speak at on purpose because I get to just sit there and absorb. riverside_kipp_raw-audio_digital_marketing p_0205: There's so much to learn. It's such an amazing group of people.

I come outta that week, just so energized. riverside_daniel_rowles_raw-audio_digital_marketing p_0207: It, it is brilliant and it's where we met the lovely Jay Schon who's been on the podcast a number of times. So big hi to Jay and the team as well. So ki what, what's kind of happening at HubSpot?

What should we people be looking out for? riverside_kipp_raw-audio_digital_marketing p_0205: Yeah, I mean there's so much happening. We have we've got some awesome agents out, again, customer agent, we've got a great prospecting agent. There's gonna be some awesome marketing AI tools coming very soon.

So, excited to share more on that soon. And really how we're thinking about this is that like. At HubSpot, we are the context layer for ai. If you've used AI at all, you know it's, the AI is just as good as the context and information it has.

And we are fortunate across, you know, 300,000 ish customers that we have a ton of data, a ton of context. We know what great looks like, and we are just honestly sprinting and unlocking that. The platform in our agents, if you want to connect to Claude or chat GPT or Gemini and access your data there. All of that is like really what we are trying to do and trying to really be the context layer for the future of growing companies.

And I would say that the last big thing is like, I think marketing is getting disrupted the most. We came out with this Loop Marketing playbook at Inbound in the fall. We've got a, we've got a bunch of fun stuff coming this year around loop marketing and really maturing and giving people like the tactical handbook of how to actually do marketing in this post AI world. And that's gonna be coming this year.

And very excited about that. riverside_daniel_rowles_raw-audio_digital_marketing p_0207: Yeah we'll put all that into the show notes as well. I mean, the loop marketing stuff, I think has really inspired a lot of people around this as well. So, we'll put that into show notes.

So, as ever, target internet.com/podcast. Kip, thank you so much for joining us. Loads of really good practical tips there.

I'm off to start dumping videos on myself into Google Gemini and riverside_kipp_raw-audio_digital_marketing p_0205: I'm interested to hear what you learned how that works for you. So please let me riverside_daniel_rowles_raw-audio_digital_marketing p_0207: I'll let you know and we'll get the listeners to do the same. So thank you for your time today. We really riverside_kipp_raw-audio_digital_marketing p_0205: Awesome, Daniel.

Thanks so much for having me. Thanks everybody for listening. riverside_daniel_rowles_raw-audio_digital_marketing p_0207: you so much. For more episodes, resources to leave a review or to get in contact, go to target internet.

com/podcast.

Related episodes across the Index

Other episodes covering the same guests and topics, from across The B2B Podcast Index.

  • #291 Why Most AI Projects Fail to Deliver ROI, Sinohe Terrero, CFO and COO, EnvoyGrowCFO Show · on Claude91 / 100
  • AI Agents, False Productivity, and the Sales Team Reset with Gabe LarsenMake It Happen Mondays · on AI agents91 / 100
  • Why a $1.2B exit felt like his biggest failure, and the customer-obsession thesis behind AgencyThe GTMnow Podcast · on AI agents86 / 100
  • Is Your Business Invisible to AI Search? (And How to Fix It) ft. Ray YoungRevenue Science · on Claude85 / 100
  • How to Sell Against a Competitor Already in the BuildingSales Leadership with Fexingo · on HubSpot85 / 100
  • Episode 018: Season 2, the $75 Consult and the Frankenstein StackAI Tools for Practicing Lawyers · on Claude84 / 100

More from The Digital Marketing Podcast

All episodes →
  • Design That Sticks: Applying Neuroscience to Predict Attention62 / 100
  • Reddit Marketing Case Study with Dove - Turning Real Reviews into Real Growth80 / 100
  • The Changing Customer Journey in an AI-First World - Insights from Adobe Enterprise's CMO76 / 100
  • Practical Video Marketing - How to Make Video More Human, More Useful and More Effective75 / 100
  • Eight Psychology Experiments for Marketers92 / 100
Explore the best B2B Marketing podcasts →
All The Digital Marketing Podcast episodes →