FiredUp! - The Startup Marketing Podcast

Securing top-tier business media coverage in elite publications like The Wall Street Journal, The New York Times, Bloomberg, Fortune, and Axios is the ultimate dream for B2B tech founders and startup marketers. But breaking through the massive wall of reporter inbox clutter, automated email filters, and strict editorial paywalls presents an incredible challenge. Most early and late-stage startups struggle with pitching business journalists because they pitch generic product updates rather than positioning their brand around broader industry trends, customer stories, or exclusive data.

On this episode of FiredUp!, Morgan and Chris break down the exact strategies required to pitch the business press successfully. We discuss cutting through media noise, converting aspirational PR goals into real coverage, and more. This week, episode 147 of the FiredUp! podcast is about how to pitch business press! 

Download the Multiplier Marketing Megapack today. Exclusive offer for all our listeners — get all our Startup Guides in one go! Over 50 pages of advanced tips and advice that dive deep into content marketing, search advertising, and marketing attribution.

In this episode of the FiredUp! podcast, the Firebrand team shares how to navigate craft compelling subject lines and actionable steps you can take right now to navigating changing newsrooms. 

Morgan and Chris discuss:

• Define the Business Press Landscape: Top-tier business media spans daily financial powerhouses (Wall Street Journal, Bloomberg, CNBC), national SMB publications (Inc., Entrepreneur, Fast Company), UK-based global outlets (Financial Times, The Economist), and influential Silicon Valley trade hubs (The Information, Axios Pro).
• Understand Why Pitches Get Ignored: Journalists receive hundreds of cold pitches daily, with many deploying automated filters to eliminate generic "AI slop". Pitches fail when they lack a clear, point-of-view subject line, target the wrong beat, or pitch product releases instead of macro business trends.
• Adopt the "Be Useful" Golden Rule: Startups rarely serve as the primary focus of a top-tier business story. To earn coverage, offer journalists useful components—such as customer case studies, proprietary data trends, or contrasting industry perspectives.
• Leverage On-Site Experiences and Visual Assets: Physical site visits, customer installation tours, lab access, and high-quality photo/video packages allow journalists to experience a story firsthand, greatly reducing the likelihood of your coverage getting cut.
• Navigate Paywalls and Targeted Outlets: Specialized newsletters and subscription-based trade publications like The Information or Axios Pro-Rata offer direct access to venture capitalists, investors, and enterprise decision-makers, even if the content lives behind a paywall.

Landing a feature in top-tier business media isn't about chasing ego-driven headlines—it's about becoming an indispensable, useful source for the journalists covering your industry. When you align your startup's narrative with macro trends and tangible customer proof, top-tier coverage naturally follows.

Thank you for listening! Tune in to all the episodes for practical tips on crushing your startup marketing goals. Don’t forget to follow, rate, and review the podcast, and tell us your key takeaways!

CONNECT WITH FIREBRAND:

Firebrand is a startup marketing agency. We help tech startups secure outsized marketing outcomes on their path to growth.

Youtube

LinkedIn

X (Formerly Twitter)

Work with Firebrand

Apply to Be a Podcast Guest

Send us Fan Mail

5.5.2026

B2B buyers are increasingly relying on artificial intelligence and chat interfaces to conduct software research and evaluate vendors before a sales representative ever enters the conversation. However, execution strategies for GEO and Answer Engine Optimization (AEO) are undergoing rapid shifts as search engines update algorithms to combat mass-produced AI slop. Startup marketing leaders face an ongoing challenge: relying on automated content scaling risks severe organic traffic drops and domain penalties under strict search engine spam policies.

On this episode of FiredUp!, Morgan McClintic sits down with Firebrand’s Alastair Nee and Shane Jordan to unpack the latest B2B digital strategies for Q4 2026. We address navigating Google's Scaled Content Abuse Policy, evaluating synthetic buyer query visibility, and adapting to zero-click search behaviors. This week, episode 146 of the FiredUp! podcast is about the Q4 2026 playbook for GEO! 

Download the Multiplier Marketing Megapack today. Exclusive offer for all our listeners — get all our Startup Guides in one go! Over 50 pages of advanced tips and advice that dive deep into content marketing, search advertising, and marketing attribution.

In this episode of the FiredUp! podcast, the Firebrand team shares how to balance high-volume content production with human-in-the-loop oversight and actionable steps you can take right now to build lasting brand awareness that drives conversion across major AI engines. 

Morgan, Alastair, and Shane discuss:

• Avoid Scaled Content Abuse Penalties: Search engine algorithms now actively target large volumes of templatized, low-value pages generated primarily to manipulate rankings. Maintaining a strict "human in the loop" to inject proprietary data, unique positioning, and technical accuracy is essential to prevent ranking drops.
• Deploy the Four Pillars of GEO: Winning visibility across generative engines requires a coordinated strategy across four distinct pillars: Owned (site architecture and docs), Shared (executive social and YouTube), Earned (digital PR and media mentions), and Influenced/Community (niche forums and review sites).
• Adapt to the Zero-Click Reality: Over 68% of search journeys now conclude without a traditional website click. While overall AI referral traffic volume remains low, incoming visitors convert at significantly higher rates, making brand mentions and recommendations top-funnel priorities.
• Prioritize Content Freshness and Authorship: Generative engines favor regularly updated technical content with explicit subject matter expert (SME) provenance. Updating existing technical pages every 60 to 90 days and linking content directly to verified author bios boosts algorithmic credibility.
• Repurpose Owned Assets for Multi-Channel Signals: Transform technical blogs and documentation into explainer videos, LinkedIn articles, and un-gated HTML resources. Expanding your content distribution across structured platforms like YouTube creates additional citation sources for AI crawlers.

Generative engine optimization isn't about gaming an algorithm with automated content shortcuts—it's about building consistent, authoritative brand awareness across every channel your buyers trust. 

Thank you for listening! Tune in to all the episodes for practical tips on crushing your startup marketing goals. Don’t forget to follow, rate, and review the podcast, and tell us your key takeaways!

CONNECT WITH FIREBRAND:

Firebrand is a startup marketing agency. We help tech startups secure outsized marketing outcomes on their path to growth.

Youtube

LinkedIn

X (Formerly Twitter)

Work with Firebrand

Apply to Be a Podcast Guest

Send us Fan Mail

5.5.2026

The broader media landscape has shifted overnight from discussions about data center pushback to intense, high-stakes debates over an outright AI apocalypse and existential technology risks. High-profile resignations from frontier labs like Anthropic, coupled with growing fears over superintelligence and agent containment failures, have triggered calls for federal AI regulation and corporate slowdowns. If your startup develops AI-native applications, leverages open-weight models, or relies on frontier APIs, you are suddenly caught in a politically charged environment. Marketing and PR leaders face an immediate challenge: how to navigate intense public AI skepticism, articulate clear AI economics, and maintain market traction without alienating buyers or making reckless public statements.

On this special episode of FiredUp!, we analyze the strategic implications of the sudden, national focus on AI governance and technology safety. We address handling media inquiries around AI safety, evaluating the commercial impact of open-source model restrictions, and how to distance your startup from empty hype. This bonus episode of the FiredUp! podcast is about the AI apocalypse! 

Download the Multiplier Marketing Megapack today. Exclusive offer for all our listeners — get all our Startup Guides in one go! Over 50 pages of advanced tips and advice that dive deep into content marketing, search advertising, and marketing attribution.

In this episode of the FiredUp! podcast, the Firebrand team shares an overview on the current discussions around AI regulation and a potential slowdown of AI development and actionable steps you can take right now to be strategic with your media communications, proviving value without needing to be a geopolitical expert. 

Morgan and Chris discuss:

• Avoid Geopolitical and Existential Overreach: Unless your leadership team consists of recognized AI ethicists or national defense luminaries, avoid commenting on whether superintelligence poses an existential threat. Reporters want your practical, on-the-ground business perspective, not speculative macro commentary.
• Focus on Real-World AI Economics: The most effective communications strategy during a market scare is anchoring your message in unit economics. Explain how your brand uses a blend of frontier and open-weight models to optimize costs, route workloads efficiently, and deliver reliable customer outcomes.
• Prepare for the Open-Source and Regulatory Debate: With regulators scrutinizing open-weight models and Chinese open-source advances, be ready to explain how potential policy shifts or slowdowns would directly affect your operational roadmap and your buyers' ROI.
• Highlight the Application Layer Over Model Scale: Many enterprise buyers do not require ever-advancing frontier model capabilities to solve core problems. Position your brand's unique value around the specialized harness, security guardrails, and domain-specific workflows built around the model.
• Leverage Opportunistic Media Relations: Instead of issuing broad press releases, monitor vertical trade calls for sources. Journalists covering specific industries (like finance, healthcare, or logistics) are actively seeking grounded commentary on how AI safety discussions impact enterprise software adoption.

When an industry cycle gets loud and chaotic, the worst mistake a startup can make is panic-pitching into the storm without a clear, grounded narrative. Your competitive advantage isn't adding noise to the macro debate—it's proving the tangible, secure, and undeniable value your platform delivers to customers every single day 

Thank you for listening! Tune in to all the episodes for practical tips on crushing your startup marketing goals. Don’t forget to follow, rate, and review the podcast, and tell us your key takeaways!

CONNECT WITH FIREBRAND:

Firebrand is a startup marketing agency. We help tech startups secure outsized marketing outcomes on their path to growth.

Youtube

LinkedIn

X (Formerly Twitter)

Work with Firebrand

Apply to Be a Podcast Guest

Send us Fan Mail

5.5.2026

B2B buyers are no longer relying solely on traditional search engines to discover software and build vendor shortlists—they are conducting deep research inside AI conversations before sales teams ever hear from them. For startup marketing leaders and PR executives, this shift creates a severe visibility crisis: if your brand isn't structured correctly for AI crawlers, your product is completely invisible to high-intent buyers. On this episode of FiredUp!, we sit down with Shane Tepper, co-founder of Resonate Labs, to explore the cutting edge of AI visibility and Generative Engine Optimization. We discuss tracking buyer queries across ChatGPT, Claude, Perplexity, and Google AI Overviews, as well as why earned media and architecture documentation drive AI recommendations. This week, episode 144 of the FiredUp! podcast is about how to win more AI citations! 

Download the Multiplier Marketing Megapack today. Exclusive offer for all our listeners — get all our Startup Guides in one go! Over 50 pages of advanced tips and advice that dive deep into content marketing, search advertising, and marketing attribution.

In this episode of the FiredUp! podcast, Shane Tepper shares the patterns of AI visibility across sites and actionable steps you can take right now to make your site visible and readable to AI crawlers. 

Shane Tepper is a content strategist, author, and the co-founder of Resonate Labs, an advanced AI visibility platform designed to help B2B brands monitor, measure, and improve their presence across major AI search engines. Shane has spent over a year developing measurement methodologies and analyzing buyer query behavior across hundreds of enterprise software brands. He specializes in helping technology companies identify technical crawler blockers, optimize content for AI legibility, and turn earned media mentions into authoritative AI citations.

Shane and Morgan discuss:

• Fix Technical Crawler Blockers First: Many modern websites render content via client-side JavaScript, which crawlers for ChatGPT, Claude, and Perplexity cannot execute. Ensuring your pages are statically readable by AI bots is the baseline requirement for driving citations.
• Earned Media Drives AI Citations: AI visibility differs fundamentally from traditional SEO backlinks. Web-wide brand mentions predict AI presence three times better than links, with approximately 84% of AI citations originating from earned PR media.
• Differentiate Being Mentioned vs. Recommended: Showing up in an AI answer is not enough; winning requires being specifically recommended. Brands that publish detailed technical architecture documentation and specific operational metrics consistently beat competitors relying on generic marketing language.
• Structure Pages as "Atomic Content": Avoid thin, programmatic single-prompt pages. Instead, publish comprehensive, long-form pages structured into self-contained "atomic" sections that AI engines can easily ingest, quote, and verify.
• Publish Specificity to Defend Your Brand: When brands hide crucial details like pricing bands, SOC2 dates, or implementation timelines, AI models frequently pull estimated numbers from third-party sites. Publishing exact numbers plays both offense and defense in AI responses.

Measuring your marketing success solely through traditional organic web traffic means ignoring the primary channel where modern buyers form their vendor shortlists. By optimizing your digital footprint for AI legibility and third-party verification, you ensure your brand is recommended at every stage of the buyer journey. 

Thank you for listening! Tune in to all the episodes for practical tips on crushing your startup marketing goals. Don’t forget to follow, rate, and review the podcast, and tell us your key takeaways!

CONNECT WITH SHANE TEPPER:

LinkedIn

Email: [email protected]

Resonate Labs

CONNECT WITH FIREBRAND:

Firebrand is a startup marketing agency. We help tech startups secure outsized marketing outcomes on their path to growth.

Youtube

LinkedIn

X (Formerly Twitter)

Work with Firebrand

Apply to Be a Podcast Guest

Send us Fan Mail

5.5.2026

Imagine knowing exactly how an influential tech reporter, an analyst, or a key regulator will react to your pitch or announcement before you hit send. Traditional market research, focus groups, and media monitoring are important for your PR strategy, but can take weeks, cost tens of thousands of dollars, and often lack the speed required for modern corporate strategy and crisis management. On this episode of FiredUp!, we dive into the world of synthetic audiences and predictive modeling with Dan Gaynor, co-founder of Kumkuat AI. We discuss how virtual personas built from real-time data can help you test press releases, refine executive visibility, navigate regulatory scrutiny, and protect your brand's reputation with incredible precision. This week, episode 143 of the FiredUp! podcast is about how to use synthetic audiences in PR! 

Download the Multiplier Marketing Megapack today. Exclusive offer for all our listeners — get all our Startup Guides in one go! Over 50 pages of advanced tips and advice that dive deep into content marketing, search advertising, and marketing attribution.

In this episode of the FiredUp! podcast, Dan Gaynor shares the benefits of using a synthetic audience in your public relations strategy, and actionable steps you can take right now to use synthetic audiences alongside mopre traditional data-gathering techniques like surveys. 

Dan Gaynor is co-founder of Kumkuat AI, a synthetic audience platform built for corporate communications, investor relations, and public affairs teams to predict stakeholder reactions before public announcements . His communications career spans the Obama Administration, Nike, and Weber Shandwick. He co-founded Kelp, the first AI reputation measurement company, which was acquired by Signal AI. In addition to serving as an executive fellow at Harvard Business School, Dan leads commercial execution and customer relationships at Kumkuat.

Dan and Morgan discuss:

• Understand Synthetic Audiences: A synthetic audience is a virtual persona modeled after specific individuals (like journalists or politicians) or demographic archetypes (such as Gen Z employees or sell-side analysts) using publicly available and proprietary data.
• Pre-Test High-Stakes Messaging: Instead of relying purely on gut instinct or waiting for crisis feedback, communicators can run pitches, op-eds, earnings scripts, and policy statements through virtual personas to identify potential friction points in real time.
• Ensure Data Consistency and Traceability: Enterprise-grade synthetic modeling relies on locked narrative sources, live data feeds, and auditable evidence trails to ensure outputs are reliable and grounded in real-world facts rather than random model hallucinations.
• Integrate Audiences into Daily Workflows: By connecting platform models to enterprise LLMs via Model Context Protocol (MCP), teams can query virtual personas directly inside Copilot, ChatGPT, or Claude without logging into separate tools.
• Complement Traditional Market Research: Synthetic audiences mirror human focus group results with up to 90–95% accuracy, providing a faster, scalable layer for qualitative feedback alongside standard social listening and media monitoring tools.

In the fast-moving world of public relations and corporate strategy, relying solely on static surveys or un-tested gut instinct is a massive risk. By incorporating synthetic audience testing into your core communication stack, you can act with total confidence on your next launch. 

Thank you for listening! Tune in to all the episodes for practical tips on crushing your startup marketing goals. Don’t forget to follow, rate, and review the podcast, and tell us your key takeaways!

CONNECT WITH DAN GAYNOR:

LinkedIn

[email protected]

CONNECT WITH FIREBRAND:

Firebrand is a startup marketing agency. We help tech startups secure outsized marketing outcomes on their path to growth.

Youtube

LinkedIn

X (Formerly Twitter)

Work with Firebrand

Apply to Be a Podcast Guest

Send us Fan Mail

5.5.2026

As the amount of AI Slop content we see across the internet grows, major players are shifting and fighting back. From LinkedIn introducing options for users to flag AI content on their feeds to Anthropic embedding watermarks in response to the EU AI Act, one thing is made clear: people are fed up with low-quality AI generated content. But how do we balance utilizing AI as part of our strategy while managing potential penalties to our GEO, executive visibility, and buyer trust? On this episode of FiredUp!, we address how to protect your brand while navigating content flagging, AI detection accuracy, and changing search engine guidelines. This week, episode 142 of the FiredUp! podcast is about the war on AI slop! 

Download the Multiplier Marketing Megapack today. Exclusive offer for all our listeners — get all our Startup Guides in one go! Over 50 pages of advanced tips and advice that dive deep into content marketing, search advertising, and marketing attribution.

In this episode of the FiredUp! podcast, the Firebrand team shares the importance of continuing to handcraft your content to avoid penalties from AI checkers and actionable steps you can take right now to keep up with evolving standards and expectations for AI use. 

Morgan and Chris discuss:

• LinkedIn's War on Automated Slop: LinkedIn has introduced user-flagging options and algorithmic penalties that active communities can use to suppress generic, AI-generated thought leadership. Over-relying on automated copy for executive visibility will actively throttle your organic reach.
• The Reality of AI Watermarking: In response to the EU AI Act, major providers like Anthropic are embedding invisible mathematical watermarks into output tokens. While heavy human editing or paraphrasing can dilute these patterns, unedited copy remains easily detectable.
• The Evolution of AI Detectors: AI detection tools like Pangram are becoming surprisingly accurate at identifying machine-generated text in long-form articles and op-eds. Submitting automated copy to top-tier publications carries a growing risk of public rejection and editorial embarrassment.
• Protect Your SEO and GEO Distribution: Search engines and AI answer engines are continuously refining how they evaluate authoritative content. Relying on mass-produced, automated web pages for search rankings exposes your brand to severe algorithmic pullbacks.
• Handcraft High-Stakes Thought Leadership: While AI is an exceptional tool for research, outline structuring, and mechanical copy editing, high-stakes external assets—such as contributed bylines, media quotes, and core executive posts—must remain human-driven.

Your Action Item This Week: Audit your upcoming LinkedIn content queue and external media submissions. Identify any post or article that relies heavily on automated text generation, and rewrite it manually to inject authentic personal experience, unique company data, and original perspective. 

Thank you for listening! Tune in to all the episodes for practical tips on crushing your startup marketing goals. Don’t forget to follow, rate, and review the podcast, and tell us your key takeaways!

CONNECT WITH FIREBRAND:

Firebrand is a startup marketing agency. We help tech startups secure outsized marketing outcomes on their path to growth.

Youtube

LinkedIn

X (Formerly Twitter)

Work with Firebrand

Apply to Be a Podcast Guest

Send us Fan Mail

5.5.2026

The landscape of B2B public relations and tech comms is shifting faster than ever before. Driven by the rise of generative AI slop, shrinking newsrooms, journalists’ overflowing inboxes, traditional media relations playbooks aren’t holding up. On this episode of FiredUp!, we analyze the capabilities required to execute a high-impact communications program in today’s world. We discuss standing out in an over-saturated media landscape and the essential human skills that cannot be replaced by automated tools. This week, episode 141 of the FiredUp! podcast is about what PR skills are in demand today! 

Download the Multiplier Marketing Megapack today. Exclusive offer for all our listeners — get all our Startup Guides in one go! Over 50 pages of advanced tips and advice that dive deep into content marketing, search advertising, and marketing attribution.

In this episode of the FiredUp! podcast, the Firebrand team shares the importance of creativity in crafting media pitches and actionable steps you can take right now to stand out from the AI slop saturating the PR space. 

Morgan and Chris discuss:

• Develop a Sharp Nose for News: Raw product pitching is virtually dead in B2B tech. To cut through modern inbox clutter, PR professionals must cultivate a keen news sense—framing product capabilities within broader macro industry trends and compelling narrative hooks.
• Protect the Art of Human Writing: As AI-generated copy saturates pitch inboxes, authentic human writing has become a major competitive advantage. Crafting original, well-researched copy builds executive credibility and prevents your contributed content from being rejected by discerning editors.
• Target Emerging Sources of Influence: Modern PR extends far beyond traditional tier-one print publications. To drive real business outcomes, communications programs must target specialized Substack newsletters, niche industry podcasts, and influential individual creators.
• Cultivate Deep Domain Expertise: Superficial tech knowledge is no longer sufficient. High-performing PR pros must deeply understand their sector's underlying technical architecture, business models, and market history to act as true thought partners to CEOs and journalists.
• Demand Real AI Fluency: True AI capability isn't about generating automated pitches—it's about understanding where automation accelerates research and where it creates strategic risk. PR leaders must master AI tools to streamline workflows while maintaining rigorous quality control over final outputs.

PR hasn't become impossible, it has simply raised the bar for creativity, domain knowledge, and strategic execution. Human judgment, sharp news sense, and authentic relationships are your ultimate market differentiators in today’s landscape.

Thank you for listening! Tune in to all the episodes for practical tips on crushing your startup marketing goals. Don’t forget to follow, rate, and review the podcast, and tell us your key takeaways!

CONNECT WITH FIREBRAND:

Firebrand is a startup marketing agency. We help tech startups secure outsized marketing outcomes on their path to growth.

Youtube

LinkedIn

X (Formerly Twitter)

Work with Firebrand

Apply to Be a Podcast Guest

Send us Fan Mail

5.5.2026

Navigating early-stage startup marketing in a crowded, highly regulated market is one of the toughest trials a founder or marketing leader can face. From determining the right ideal customer profile to breaking through established, legacy competitors, seed-stage companies are forced to make high-stakes go-to-market decisions with limited runways and tight budgets. 

On this episode of FiredUp!, we sat down with Jared White, CEO of Matey AI, to address the explicit pain point of startup marketing decisions in complex B2B sectors. We discuss how to navigate legacy competition, position your product around clear customer outcomes, leverage hyper-targeted ICP profiling, and optimize your engineering and marketing workflows in the age of generative AI. This week, episode 140 of the FiredUp! podcast is about marketing decisions at a LegalTech AI firm! 

Download the Multiplier Marketing Megapack today. Exclusive offer for all our listeners — get all our Startup Guides in one go! Over 50 pages of advanced tips and advice that dive deep into content marketing, search advertising, and marketing attribution.

In this episode of the FiredUp! podcast, Jared White shares the importance of building trust with AI systems and actionable steps you can take right now to target the right audience for your product. 

Jared White is a technologist, serial entrepreneur, and the CEO of Matey AI, an innovative software company using advanced language models to solve complex data challenges in legal tech and eDiscovery. Coming from a background in quantitative trading where precision and accuracy are paramount, Jared approaches software design with a relentless focus on data trust and hallucination-free AI outcomes. Under his leadership, Matey AI established a foothold in criminal defense and public defense agencies, providing powerful, accessible discovery tools for legal teams. 

Jared and Morgan discuss:

• Don't Fear Entrenched Competitors: The presence of large legacy players in a market is often a strong indicator of demand and capital availability. Modern technological shifts (like foundational language models) allow early-stage startups to completely leapfrog legacy architectures.
• Lead Generation vs. Brand Building: At the seed stage, building an immediate, measurable sales pipeline must take priority over broad brand awareness campaigns. Focus on getting into the room, solving urgent pain points, and letting your product's performance build your brand trust organically.
• Frame Value Around Outcomes, Not Capacity: Avoid alienating potential buyers by over-advertising extreme technical capabilities. Instead of positioning your tool purely for massive, rare enterprise use cases, emphasize how it solves everyday, high-frequency problems affordably and efficiently.
• Use AI for Hyper-Targeted Lead Prioritization: Supercharge your go-to-market strategy by deploying AI to analyze CRM data and score your target personas. Profiling prospects based on background, specialization, and firm size allows small sales teams to focus outreach on buyers who are most likely to convert.
• Keep Core Teams Lean to Move Faster: Scaling headcount too quickly can introduce unnecessary logistical overhead. Leveraging modern AI development tools enables small, highly focused engineering and marketing teams to produce massive output while remaining agile.

Building a successful startup isn't about having a massive budget or a massive team—it's about making sharp, disciplined decisions and executing on real customer needs. Are you positioning your product to solve an immediate, acute pain point for your buyers today? 

Thank you for listening! Tune in to all the episodes for practical tips on crushing your startup marketing goals. Don’t forget to follow, rate, and review the podcast, and tell us your key takeaways!

CONNECT WITH JARED WHITE:

LinkedIn

Matey AI

CONNECT WITH FIREBRAND:

Firebrand is a startup marketing agency. We help tech startups secure outsized marketing outcomes on their path to growth.

Youtube

LinkedIn

X (Formerly Twitter)

Work with Firebrand

Apply to Be a Podcast Guest

Send us Fan Mail

5.5.2026

With many corporate leadership teams issuing a strict mandate to integrate artificial intelligence across every business function, marketing and PR leaders are facing a tough operational question: Where does AI actually drive efficiency, and where does it create massive strategic risk? On this episode of FiredUp!, we take a practical look at how to rank your public relations workflow from low stakes to high stakes. We address the risks of over-automating your communication channels,  how to properly apply human judgment and workflow automation, and more. This week, episode 139 of the FiredUp! podcast is about if you can outsource PR to AI! 

Download the Multiplier Marketing Megapack today. Exclusive offer for all our listeners — get all our Startup Guides in one go! Over 50 pages of advanced tips and advice that dive deep into content marketing, search advertising, and marketing attribution.

In this episode of the FiredUp! podcast, the Firebrand team shares where AI makes sense in a  public relations workflow and actionable steps you can take right now to avoid losing credibility by using AI for too many PR functions. 

Morgan and Chris discuss:

• Automate the Low-Stakes Research: Use custom AI agents to handle time-intensive, list-making tasks like tracking industry awards, identifying speaker opportunities, and logging application deadlines. This high-efficiency research automation saves hours of manual labor while carrying almost zero strategic risk.
• The Peril of Automated Copywriting: While an AI tool can quickly structure text to look exactly like a press release or contributed article, it naturally defaults to recognizable, lowest-common-denominator language. Discerning editors and journalists increasingly reject these submissions, making human composition essential for serious media outreach.
• Protect Your Media Pitching: Keep automated text generation completely out of your direct reporter communication. Journalists intensely dislike receiving cookie-cutter, bot-generated pitches; maintaining a strict one-to-one human approach is the only way to build durable media relationships.
• Supercharge Media Profiling: Shift your AI usage away from writing and toward intelligence gathering. Use advanced prompt structures to analyze months of a target publication's coverage, identifying dominant themes, data preferences, and writer beats to manually craft a highly tailored pitch.
• Maintain the Thought Leadership Standard: True thought leadership requires a distinctive, original point of view that cannot be replicated by probabilistic sentence completion. Use human judgment and authentic storytelling to ensure your corporate messaging stands out from the sea of automated slop. 

Your Action Item This Week: Identify one highly manual, low-stakes research task on your plate, such as building a target event or speaker list, and build a structured AI prompt to compile the data for you. Use the hours you save to call a key partner or write an original, human-generated piece of thought leadership. 

Thank you for listening! Tune in to all the episodes for practical tips on crushing your startup marketing goals. Don’t forget to follow, rate, and review the podcast, and tell us your key takeaways!

CONNECT WITH FIREBRAND:

Firebrand is a startup marketing agency. We help tech startups secure outsized marketing outcomes on their path to growth.

Youtube

LinkedIn

X (Formerly Twitter)

Work with Firebrand

Apply to Be a Podcast Guest

Send us Fan Mail

5.5.2026

When two or more companies merge, they bring an inevitable clash of identities, disjointed messaging, and fractured cultures. Far too many organizations waste critical post-deal runway trying to push a messy grab bag of products without a unified commercial story. If your team is struggling to navigate customer friction or figure out which brand names to preserve, you are facing a classic, high-stakes brand integration crisis. On this episode of FiredUp!, we dig into the strategic playbook for conquering the post-deal corporate transition with Megan Adler, CEO and Founder of Sublime Designs Media.Learn how to evaluate market equity, align cross-selling models with your buyer personas, and deploy internal change management programs that transform fragmented corporate divisions into a single, high-growth revenue engine. This week, episode 138 of the FiredUp! podcast is about how to integrate brands after M&A! 

Download the Multiplier Marketing Megapack today. Exclusive offer for all our listeners — get all our Startup Guides in one go! Over 50 pages of advanced tips and advice that dive deep into content marketing, search advertising, and marketing attribution.

In this episode of the FiredUp! podcast, Megan Adler shares the importance of understanding competitors and market share when merging brands, and actionable steps you can take right now to enable sales teams to effectively sell across different brands.

Megan Adler is the CEO and Founder of Sublime Designs Media. She founded Sublime in 2002,  growing from a small local firm to an international company with clients across verticals. As the daughter of a diplomat, Megan lived in Chile, Spain, El Salvador, and Germany. This international experience has shaped her approach to almost everything she does and given her a rich and diverse approach to marketing with a special sensitivity to other cultures and ideas. Megan is bilingual in Spanish. 

Megan and Morgan discuss:

• Audit the Brand Puzzle and Market Equity: Never guess which brand assets to absorb; always execute deep interviews with customers, partners, and vendors to measure regional sentiment and market share before making a rollout decision.
• Set the Master Brand Platform First: A major post-M&A mistake is failing to establish an overarching parent narrative. Without a unified parent message, sales divisions operate in silos, leaving significant cross-selling revenue on the table.
• Treat Branding as Change Management: Internal rollout requires a methodical, multi-touch drip campaign featuring town halls, interactive working groups, and direct leadership engagement to earn full cultural buy-in from your employees.
• Balance Human Intuition with AI Efficiency: Use specialized AI projects pre-loaded with verified brand data to automate competitive analysis and content distribution, while keeping core messaging, positioning, and creative strategy purely human-driven.
• Build AI Guardrails for Your Staff: Combat brand dilution in the generative AI era by providing pre-prompted AI frameworks to internal stakeholders, ensuring all newly created collateral strictly honors your established brand guidelines.

This week, review your organization's recent acquisitions or cross-division assets. Identify one instance where your sales team is struggling to explain how your products connect under your parent company's narrative, and draft a clean, three-sentence bridge explaining the combined value proposition.

Thank you for listening! Tune in to all the episodes for practical tips on crushing your startup marketing goals. Don’t forget to follow, rate, and review the podcast, and tell us your key takeaways!

CONNECT WITH MEGAN ADLER:

LinkedIn

Sublime Designs Media

CONNECT WITH FIREBRAND:

Firebrand is a startup marketing agency. We help tech startups secure outsized marketing outcomes on their path to growth.

Youtube

LinkedIn

X (Formerly Twitter)

Work with Firebrand

Apply to Be a Podcast Guest

Send us Fan Mail

5.5.2026