SaaS Half Full

Your company can publish content every day and still have no narrative. Nicholas Lembo, VP of Marketing at Coast, argues narrative is what other people say about you when you're not in the room, and most brands chasing it are really just making more content.

In this episode, Nicholas breaks down why content decays while narrative compounds and lays out his three rules for building one: stay consistent, share the mic and embrace imperfection. That consistency is where trust comes from, since no brand can simply announce it's trusted. As buyers turn to LLMs for answers, getting AI to tell your story depends more on surround sound than domain authority.

Nicholas explains why so many companies suddenly hiring a Head of Narrative are really hiring a content marketer, why comms and marketing end up in a turf war when one owns the story and the other owns the P&L, and why the CEO should ultimately be the face of the narrative.

Key Takeaways:

• Why narrative compounds while content decays, and why customers, journalists and LLMs get the final say

• The three rules for building a narrative: stay consistent, share the mic and embrace imperfection

• How comms and marketing can split narrative ownership when one holds the story and the other holds the budget

Timestamps: (00:00) Introduction (01:12) Meet Nicholas Lembo (02:42) Why narrative matters in the AI era (03:37) Nick's path to Coast (04:57) From anthropology to marketing (05:45) A dinosaur-digging detour (08:20) Marketing chaos in the AI era (09:36) Defining content, story, and narrative (12:44) The concentric circles framework (15:47) Lessons from Coast and Patagonia (19:43) Building trust through consistency (24:58) Why brands must embrace imperfection (27:39) Who should own the narrative

Check out the ebook " Trust Issues: How SaaS and AI-Native Brands Can Beat AI Credibility Fatigue" by PANBlast: https://www.panblastpr.com/resources/trust-issues-ai-credibility-ebook/

One great article beats twenty passing mentions, and top-tier press does not guarantee AI even knows your brand exists.

In this episode, Ashley Waters, VP of Media Relations at PAN Communications, breaks down why she runs earned media and AI visibility as two separate strategies, why the biggest headline isn't always the right placement, and why publications, podcasts, and newsletters like Substacks all now count as earned media.

Ashley also explains why reporter relationships still matter as newsrooms shrink, how Substack opened a real channel for coverage, why personalized outreach beats mass pitching, and how brands can use data on visibility, impact, and engagement to prove what their media strategy is actually worth.

Key Takeaways:

• Choose placements by business fit, not by which outlet has the biggest audience

• Count podcasts, newsletters, and Substacks as earned media, not just traditional press

Timestamps: (00:00) Introduction (01:06) Meet Ashley Waters (04:02) Building a career in media relations (06:12) How earned media is changing (08:31) Why Substack and podcasts matter (10:34) How AI visibility changes media strategy (13:01) Why brands need parallel PR strategies (16:17) How AI defines earned media differently (20:24) Measuring the value of earned media (22:38) Why impact matters more than share of voice (26:23) What is changing in traditional PR (30:54) Why marketers should think about Substack (34:16) Building relationships with reporters (36:44) Why brands should think audience first (39:03) Why earned media is becoming more valuable

Check out the ebook " Trust Issues: How SaaS and AI-Native Brands Can Beat AI Credibility Fatigue" by PANBlast: https://www.panblastpr.com/resources/trust-issues-ai-credibility-ebook/

Human judgment becomes the real competitive advantage when AI makes average marketing work easier to produce.

In this episode, Dan Lewis, advisor and consultant of The Comms Stack, explains how marketers and communicators can move beyond basic AI usage and build smarter workflows around AI. Dan shares why companies should focus on the business goals they want to achieve with AI instead of simply telling teams to use new tools, and why strong communication skills, context, and strategic thinking will become even more valuable in an AI-driven world.

Dan also discusses how AI is changing the role of communicators, why generic AI-generated messaging can damage trust, and how marketers can use AI as a thought partner rather than a replacement for expertise. He explains how he built an AI chief of staff using Claude Code, why marketers do not need to become developers to benefit from AI, and how communications professionals can start building their own AI-powered tools to solve real problems.

Key Takeaways:

• Why AI adoption should start with business goals, not tools

• Human judgment separates great marketing from generic AI output

• Marketers should learn to build with AI, not just prompt it

Timestamps: (00:00) Introduction (01:19) Meet Dan Lewis (03:56) From law and storytelling to AI communications (06:18) Building The Comms Stack for the AI era (08:31) Will AI replace communications professionals? (11:53) Why generic AI messaging hurts brands (13:49) Building an AI chief of staff (16:15) How technical marketers need to become (18:49) Building AI-powered communications tools (21:14) What AI watermarks mean for marketers (24:39) Why companies need a better AI adoption strategy (27:42) Lessons from newsletter building and final thoughts

Check out the ebook " Trust Issues: How SaaS and AI-Native Brands Can Beat AI Credibility Fatigue" by PANBlast: https://www.panblastpr.com/resources/trust-issues-ai-credibility-ebook/

When marketing an AI product to a non-technical audience, the standard marketing playbook doesn't work. In this episode, Ashley McGovern, Director of Marketing at Nurture Boss, explains why she ditched the standard HubSpot inbound playbook for an industry that doesn't buy in a straight line and doesn't respond to technical AI messaging. Ashley walks through how she talked a reluctant CEO into becoming the author of a company book, why she plans the distribution channel before she builds any campaign and how she measures brand-building work when there's no direct attribution to point to. Ashley also gets into the internal case she had to make to move budget away from e-books, checklists and webinars, and why marketing influenced closed-won matters more to her than MQL-to-SQL conversion right now. If your buyers don't respond to feature lists and gated content, this episode is a permission slip to get creative. Key Takeaways: • Why creativity is a competitive advantage when every AI competitor sounds the same • How print material makes an abstract AI product feel concrete • Why niche, relationship-driven audiences need a different playbook than the standard inbound model

Timestamps: (00:00) Introduction (01:09) Meet Nurture Boss marketer Ashley McGovern

(04:15) From healthcare marketing to PropTech

(07:33) Marketing AI to a niche audience

(09:19) Why Nurture Boss chose bold campaigns

(11:36) Rewriting the traditional inbound playbook

(13:52) Why conventional B2B content stopped working

(15:43) Convincing a technical CEO to write a book

(17:30) Making abstract AI feel concrete

(18:42) Turning a book into a company resource

(21:19) Building memorable print campaigns

(23:43) Measuring creative brand marketing

(26:58) Staying human in the age of AI

Check out the ebook " Trust Issues: How SaaS and AI-Native Brands Can Beat AI Credibility Fatigue" by PANBlast: https://www.panblastpr.com/resources/trust-issues-ai-credibility-ebook/

Greg Jung isn't worried about AI replacing experienced marketers. He's worried about the opposite: leadership trusting an AI's output over the judgment of a marketing team with decades of real scar tissue behind it.

In this episode, Greg Jung, CMO Seven Corners and Founder of Marketing Encore - a mareting resoure for marketers over 50 - explains why he thinks seasoned marketers are the scarcest resource in the AI era, and how to operationalize this experience. He also breaks down his 10-80-10 framework for pairing AI output with human experience, one marketing function at a time.

Greg shares what he calls the slop tax, or the risk of letting AI-generated strategy pull a brand away from its core identity, and the AI voice agent that won his business during a holiday-weekend plumbing emergency.

Key Takeaways:

• The 10-80-10 rule for combining human judgment with AI output
• Why trusting AI more than an experienced marketing team is the real risk, not job loss
• How to spot AI-generated content and strategy before it goes out under your brand's name

Timestamps: (00:00) Introduction (03:17) Meet Seven Corners CMO Greg Jung

(08:12) Helping seasoned marketers thrive with AI

(11:13) Why more content is not better

(13:48) Applying the 10-80-10 AI framework

(16:49) How Nike abandoned its brand ethos

(19:08) AI makes everyone feel like marketers

(21:51) How to spot AI-generated marketing content

(25:42) AI's future in advertising and SaaS

(29:22) AI voice agent wins the business

Check out the ebook " Trust Issues: How SaaS and AI-Native Brands Can Beat AI Credibility Fatigue" by PANBlast: https://www.panblastpr.com/resources/trust-issues-ai-credibility-ebook/

B2B marketers have spent a decade optimizing for one metric above all others: the form fill. Putney Cloos, CMO of Bombora, says it's time to let it go, and the data backs her up. In this episode, Putney unpacks how the company's 6,000-site data co-op has tracked buyer behavior shifting away from broad publishers and toward niche verticals, and increasingly into LLM conversations that never touch a brand's website at all. Putney explains how marketers can now see not just which accounts are showing intent but which members of the buying committee are involved and where they sit in the journey, and why that depth of signal matters more than ever as classic tactics lose steam. Putney also digs into the trap of using intent data to confirm a decision a team already wanted to make, practical starting points for marketers who feel behind and whether B2B content is splitting into two versions entirely, one written for human buyers and one written for AI agents. Key Takeaways:

• Why the form fill is losing its power as a primary B2B marketing metric
• How to read buying-committee intent instead of just account-level activity
• How to avoid using intent data to confirm decisions you'd already made

Timestamps:

(00:00) Introduction (03:00) How studying history informs marketing strategy (04:21) Career journey to Bombora and B2B marketing insights (05:47) What buyers do when marketers are not watching (07:17) Evolution of intent data over the past few years (09:00) Identifying high-intent accounts and signals (11:00) How AI and LLMs impact buyer research behavior (13:18) Metrics that are losing relevance like form fills (15:00) Understanding the depth of intent across buying committees (17:37) Using intent data without falling into confirmation bias (19:15) Pros and cons of AI in marketing and content visibility (22:42) The dual-path internet challenge for content strategy (25:40) Practical steps for marketers to act on intent data

Check out the ebook " Trust Issues: How SaaS and AI-Native Brands Can Beat AI Credibility Fatigue" by PANBlast: https://www.panblastpr.com/resources/trust-issues-ai-credibility-ebook/

Andrew Wheeler, CEO of Skyword, has a simple test for brand sameness: swap your logo onto a competitor's content. Could anyone tell the difference? For a growing number of B2B brands, he says, the honest answer is no. In this episode, Andrew explains why he doesn't think AI killed brand authority so much as exposed how many companies never had a distinct point of view to begin with. Andrew breaks down why Skyword refuses to let AI write original content at all and why he believes brands should optimize for perspective and memorability instead of publishing volume. Andrew also shares the moment he caught an LLM quoting a person who doesn't exist, why marketers are now intentionally writing worse to prove a human wrote it and the three things he tells CMOs to fix before they ever open a prompt window. Key Takeaways:

• Why AI has made brand sameness a bigger risk than brand invisibility
• How to build a test to check whether your content is actually differentiated
• Where AI adds real value in content production and where it should stay out entirely

Timestamps: (00:00) Introduction (02:25) AI is making brands interchangeable

(03:14) Andrew's journey to Skyword

(05:47) Why AI mirrors early SEO

(08:34) Why AI shortcuts will fail

(10:40) The AI sameness test explained

(13:40) Where humans beat AI content

(17:49) Three ways to build authority

(22:37) AI guardrails for brand consistency

(24:02) Can AI replace human storytellers?

(27:28) Stop chasing content volume

Check out the ebook " Trust Issues: How SaaS and AI-Native Brands Can Beat AI Credibility Fatigue" by PANBlast: https://www.panblastpr.com/resources/trust-issues-ai-credibility-ebook/

Skyword: https://www.skyword.com/

As AI reshapes how companies engage buyers, many B2B marketers are doubling down on automation, personalization, and digital channels. But while technology continues to evolve, one challenge remains the same: building trust and meaningful connections with customers. For many organizations, that means rethinking the role of community and in-person experiences in their growth strategy.

In this episode, Gretchen Eischen, Chief Marketing Officer at Avetta, shares how her team transformed a traditional user conference into a community-driven experience that strengthened customer relationships, showcased product innovation, and created new opportunities for revenue growth. Gretchen explains how Avetta repositioned its brand around a simple, customer-centered message and then brought that vision to life through an event designed to serve the needs of both clients and suppliers.

Gretchen breaks down the strategy behind securing executive buy-in for a significantly larger event investment, why she removed the traditional parade of executive presentations from the agenda, and how creating space for customer interaction, networking, and real-time product feedback led to stronger engagement. She also shares her perspective on why human connection and community building are becoming even more valuable as AI becomes a bigger part of the marketing landscape.

Key Takeaways:

• How to build a community-first event strategy that drives business growth

• Why customer-led experiences create more value than executive-heavy agendas

• How to position in-person events as revenue and relationship-building investments

Timestamps: (00:00) Introduction (02:53) From procurement to B2B marketing (06:02) How Avetta connects clients and suppliers (09:05) Building the "Ready to Work" brand (13:30) Making the case to double budget (17:01) Replacing executive keynotes with customers (19:53) The Connection Center networking experience (24:45) Measuring pipeline, not attendance metrics (26:40) Why event partners matter more (27:59) Gretchen's curated CMO circles program

Check out the ebook " Trust Issues: How SaaS and AI-Native Brands Can Beat AI Credibility Fatigue" by PANBlast: https://www.panblastpr.com/resources/trust-issues-ai-credibility-ebook/

In fast-moving B2B markets, positioning rarely stays fixed for long. As technology, buyer expectations, and competitive dynamics shift, companies have to keep refining how they communicate their value. But repositioning too often, or too abruptly, can confuse customers, slow sales momentum, and weaken trust.

In this episode, Caitlin Allen, SVP of Market & Strategic Advisory Board Chair at Simbe Robotics, unpacks what it actually takes to reposition a company multiple times while continuing to scale. Caitlin shares lessons from leading Simbe Robotics through several major shifts, from robotics to shelf digitization to the broader category of store intelligence, all while navigating long enterprise sales cycles, evolving market expectations, and increasing competitive pressure.

Caitlin explains how to recognize when messaging has stopped creating meaningful differentiation and breaks down the practical work behind positioning changes, including how SaaS companies can approach AI messaging without defaulting to generic claims that fail to set them apart.

Key Takeaways:

• How customer signals reveal when positioning has stopped differentiating

• Why gradual messaging shifts protect trust better than hard resets

• How unclear AI positioning can weaken differentiation

Timestamps:

• (00:00) Introduction

• (03:58) The retail problem Simbe Robotics was built to solve

• (07:01) Why Simbe Robotics has repositioned three separate times

• (08:55) Creating FOMO without creating fear

• (09:58) Building credibility through third-party validation

• (11:58) Moving beyond robotics into store intelligence

• (13:59) The signals that tell you it's time to reposition

• (15:57) Repositioning without disrupting active deals

• (17:56) Protecting brand equity while evolving the narrative

• (19:56) Aligning sales teams around new positioning

• (24:02) Why repositioning works better through "breadcrumbing"

• (26:58) The next shift toward store intelligence

• (29:00) Why most rebranding announcements miss the point

• (30:59) The risk of chasing AI positioning trends

Check out the ebook " Trust Issues: How SaaS and AI-Native Brands Can Beat AI Credibility Fatigue" by PANBlast: https://www.panblastpr.com/resources/trust-issues-ai-credibility-ebook/

AI is helping marketing teams create more content than ever, but no one agrees on who's responsible when it's inaccurate or misses the mark.

In this episode, Holly Enneking, VP of Marketing at Markup AI, discusses the accountability gap sitting at the center of every AI-powered content workflow. With data from a new research report, she reveals why 92% of marketers are using AI more, yet only 44% actually trust the output, and why the disconnect between executive confidence and practitioner reality is creating serious risk for B2B brands.

Holly explains where AI quality breaks down most (it's in content amplification across channels), how shadow AI is spreading unchecked across marketing teams, and what immediate steps marketers can take to build governance frameworks that hold up.

Key Takeaways:

• Why increased AI use reveals persistent trust issues in content quality

• Why C-suite confidence contrasts with marketers' concerns over AI output

• How to ensure AI-generated content meets standards

Timestamps:

• (00:00) Introduction

• (01:23) Holly's background in B2B marketing

• (03:52) What the AI content accountability gap looks like

• (06:38) Key data findings: 92% using AI more, but trust is low

• (07:43) Where AI quality breaks down: content amplification

• (11:11) Immediate steps to build your compliance framework

• (12:45) Who owns AI content governance in your org

• (14:14) Emerging roles and the rise of AI guardian agents

• (16:27) Managing shadow AI without killing experimentation

• (23:07) Why AI was adopted for quality, not speed, and fell short

Markup AI Survey Report: https://markup.ai/wp-content/uploads/2025/11/Markup-AI-Survey-Report.pdf

Check out the ebook " Trust Issues: How SaaS and AI-Native Brands Can Beat AI Credibility Fatigue" by PANBlast: https://www.panblastpr.com/resources/trust-issues-ai-credibility-ebook/