『The Long Game』のカバーアート

The Long Game

The Long Game

著者： David Ly Khim Allie Decker Alex Birkett
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The Long Game shares personal and business success stories where long-term thinking triumphs. Join us for discussions about the frameworks, principles, and learnings that drive success in business.2024 Omniscient Digital, The Long Game マネジメント・リーダーシップ マーケティング マーケティング・セールス リーダーシップ 経済学
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  • Kitchen Side: The Internet Has a Memory

    Kitchen Side: The Internet Has a Memory
    2026/08/12
    In this Kitchen Side episode, Alex Birkett and Allie Decker unpack what actually makes content valuable in the age of AI, moving past the tired debate over human versus AI-produced content to the deeper question of how companies should measure quality at all. Drawing on decision theory and the idea that almost anything can be measured, they argue that production method matters far less than whether a piece teaches something new and lands with the people it is meant for. They explore AI visibility as a kind of digital brand recall, why sentiment and context matter more than raw share of voice, and how incumbents and startups face very different battles in shaping their narrative across the web. The conversation also digs into why brands no longer own their own story, the compounding risk of building exposure in the wrong category, and why a human QA layer grounded in real customer understanding is the one part of the content system that should never be automated. Key Takeaways The debate over AI-produced versus human-produced content misses the deeper question of how to define and measure content quality in the first place.Almost anything can be measured if a decision carries uncertainty and risk, including fuzzy concepts like brand affinity or customer experience, by breaking them into concrete, quantifiable components.Measurement is only worth doing when the cost of collecting it is lower than the value of reducing uncertainty, and when you will actually act on the result.AI visibility works like a digital brand recall survey, but raw visibility is meaningless without understanding the context and sentiment in which a brand is mentioned.Segmenting prompts by ICP and buying stage reveals visibility gaps that aggregate scores hide, such as a brand appearing at 40 percent overall but only 4 percent for enterprise queries.Brands no longer own their own narrative, because if the rest of the web contradicts a company's website, LLMs treat the external consensus as the truth.Incumbents with high domain authority have an SEO advantage but face a harder AEO battle, since years of press, mentions, and third-party content are slow and expensive to re-steer.Startups can win by getting specific for narrow prompts and buying-journey stages, but building heavy exposure around one positioning creates risk if they later pivot.AI content programs fail because of weak systems, not the AI itself, so the durable model is human strategy up front, AI in the middle, and a human QA layer at the end.Customer understanding is the last defensible advantage, and the one part of the content system that should stay human is the empathy to judge whether a piece will actually land. Show Links Connect with Alex Birkett on LinkedIn and TwitterConnect with Allie Decker on LinkedIn and TwitterConnect with Omniscient Digital on LinkedIn or Twitter What is Kitchen Side? One big benefit of running an agency or working at one is you get to see the "kitchen side" of many different businesses; their revenue, their operations, their automations, and their culture. You understand how things look from the inside and how that differs from the outside. You understand how the sausage is made. As an agency ourselves, we're working both on growing our clients' businesses as well as our own. This podcast is one project, but we also blog, make videos, do sales, and have quite a robust portfolio of automations and hacks to run our business. We want to take you behind the curtain, to the kitchen side of our business, to witness our brainstorms, discussions, and internal dialogues behind the public works that we ship. Past guests on The Long Game podcast include: Morgan Brown (Shopify), Ryan Law (Animalz), Dan Shure (Evolving SEO), Kaleigh Moore (freelancer), Eric Siu (Clickflow), Peep Laja (CXL), Chelsea Castle (Chili Piper), Tracey Wallace (Klaviyo), Tim Soulo (Ahrefs), Ryan McReady (Reforge), and many more. Some interviews you might enjoy and learn from: Actionable Tips and Secrets to SEO Strategy with Dan Shure (Evolving SEO)Building Competitive Marketing Content with Sam Chapman (Aprimo)How to Build the Right Data Workflow with Blake Burch (Shipyard)Data-Driven Thought Leadership with Alicia Johnston (Sprout Social)Purpose-Driven Leadership & Building a Content Team with Ty Magnin (UiPath) Also, check out our Kitchen Side series where we take you behind the scenes to see how the sausage is made at our agency: Blue Ocean vs Red Ocean SEOShould You Hire Writers or Subject Matter Experts?How Do Growth and Content Overlap? Connect with Omniscient Digital on social: Twitter: @beomniscient LinkedIn: Be Omniscient Listen to more episodes of The Long Game podcast here: https://beomniscient.com/podcast/
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    57 分
  • Proof Over Promises, Case Studies, and Marketing When Trust Is Low with Sofia Sulikowski

    Proof Over Promises, Case Studies, and Marketing When Trust Is Low with Sofia Sulikowski
    2026/07/15
    In this episode of The Long Game Podcast, Alex Birkett sits down with Sofia Sulikowski, founder of Solera Strategies and former product marketer at dbt Labs, Tableau, and Atlan, to explore why standing out in a saturated content landscape has become a core product marketing problem. Sofia breaks down what "basic marketing" really requires, why internal narratives so often drift from how customers actually describe a product, and how pulling voice of customer language directly from calls and interviews can anchor messaging that actually resonates. They discuss the erosion of trust in marketing, from products being marketed ahead of their real capabilities to the flattening effect of AI generated content, and why human authored, technical, practitioner led voices are becoming a premium differentiator. The conversation also digs into how case studies are evolving from static logo and metrics templates into technical, narrative driven assets, and why the real measure of a successful customer story is whether the featured customer feels proud enough to share it themselves. Key Takeaways Product marketing is fundamentally "basic marketing": identifying what value a product provides, for whom, and how, then aligning every channel and message to that core.Internal assumptions about a product's value often diverge from real customer usage, which is why product marketing has to synthesize input from product, sales, and customer success teams.Pulling the exact language customers use, by sitting in on beta calls or QBRs, is an underused but effective way to anchor messaging customers already recognize.Not every customer quote deserves equal weight; separating signal from noise means understanding who gave a quote, how invested they are, and what their actual outcomes look like.Companies are increasingly marketing products ahead of their real capabilities, widening the gap between what's promised and what a customer experiences on first use.AI generated content compresses everything toward the same "average" output, flooding channels with low value content and burying pieces that offer something distinct.Technical, practitioner authored content, written by the people who did the work and lightly polished by marketing, is outperforming generic thought leadership because it carries real expertise.Case studies are shifting from a template of company background, pain points, and results tables toward a hybrid with technical blog posts that shows the actual "how," including architecture and implementation decisions.A mature case study program should be organized by goal: heavy hitter logos for credibility, gap fillers for common but underrepresented use cases, and hero stories that make the customer look good.The clearest signal that a case study succeeded isn't traffic or downloads, it's whether the featured customer is proud enough to organically share their own story with their network. Show Links Connect with Sofia Sulikowski on LinkedInConnect with Alex Birkett on LinkedIn and TwitterConnect with Omniscient Digital on LinkedIn or Twitter Past guests on The Long Game podcast include: Morgan Brown (Shopify), Ryan Law (Animalz), Dan Shure (Evolving SEO), Kaleigh Moore (freelancer), Eric Siu (Clickflow), Peep Laja (CXL), Chelsea Castle (Chili Piper), Tracey Wallace (Klaviyo), Tim Soulo (Ahrefs), Ryan McReady (Reforge), and many more. Some interviews you might enjoy and learn from: Actionable Tips and Secrets to SEO Strategy with Dan Shure (Evolving SEO)Building Competitive Marketing Content with Sam Chapman (Aprimo)How to Build the Right Data Workflow with Blake Burch (Shipyard)Data-Driven Thought Leadership with Alicia Johnston (Sprout Social)Purpose-Driven Leadership & Building a Content Team with Ty Magnin (UiPath) Also, check out our Kitchen Side series where we take you behind the scenes to see how the sausage is made at our agency: Blue Ocean vs Red Ocean SEOShould You Hire Writers or Subject Matter Experts?How Do Growth and Content Overlap? Connect with Omniscient Digital on social: Twitter: @beomniscient LinkedIn: Be Omniscient Listen to more episodes of The Long Game podcast here: https://beomniscient.com/podcast/
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    1 時間 1 分
  • Kitchen Side: The Hidden Drivers of AI Search

    Kitchen Side: The Hidden Drivers of AI Search
    2026/07/08
    In this Kitchen Side episode, Alex Birkett, Allie Decker, and David Ly Khim unpack how brands should actually measure success in AI search, and why traditional attribution models are breaking down as buyer behavior shifts from search links to AI assistants and workflows. They discuss why self-reported attribution is becoming the most reliable signal available, the different tiers of AI visibility from simple citations to category-level consensus, and why AI visibility functions more like a brand recall survey than a channel you can optimize in isolation. The conversation also covers the idea of a “post-channel marketer” who coordinates across product, customer education, and PR, and why chasing visibility tactics with no underlying business purpose rarely pays off. Key Takeaways Self-reported attribution is more reliable than clickstream data for AI search because most AI-driven visits never result in a tracked click.AI visibility behaves more like a brand recall survey than a channel, reflecting how a brand compares to competitors rather than something to optimize in isolation.Picking up a citation on a narrow, low-competition prompt is easy, but shifting broader category-level consensus, like being named among the best CRMs, is far harder and requires changing an entire conversation.Correcting outdated third-party pricing information moved AI search outputs within about a month in one client engagement, though this was a sentiment fix rather than a visibility gain.Some AI answers now include negative or qualifying recommendations, meaning a mention doesn't always translate into a positive outcome for a brand.Different AI tools serve different roles, with ChatGPT and AI Overviews functioning as quick answer engines while agentic tools like Claude Code perform deeper multi-step research, and visibility strategies should account for that difference.Whether a company should publish a markdown version of its site for easier AI retrieval depends on its audience, mattering more for technical, developer-facing products than for typical B2B SaaS buyers.Sustainable AI search performance comes from investing in product experience, customer education, and reviews, since genuine third-party validation is difficult to fake once a brand has earned it.Marketing teams need a “post-channel” role that coordinates across product, customer success, and PR to influence sentiment and visibility, rather than treating this as an SEO-only or PR-only problem.Tactics pursued only to move an AI visibility score, with no underlying business purpose, are usually not worth the effort unless they're addressing existing negative sentiment. Show Links Connect with David Khim on LinkedIn and TwitterConnect with Alex Birkett on LinkedIn and TwitterConnect with Allie Decker on LinkedIn and TwitterConnect with Omniscient Digital on LinkedIn or Twitter What is Kitchen Side? One big benefit of running an agency or working at one is you get to see the "kitchen side" of many different businesses; their revenue, their operations, their automations, and their culture. You understand how things look from the inside and how that differs from the outside. You understand how the sausage is made. As an agency ourselves, we're working both on growing our clients' businesses as well as our own. This podcast is one project, but we also blog, make videos, do sales, and have quite a robust portfolio of automations and hacks to run our business. We want to take you behind the curtain, to the kitchen side of our business, to witness our brainstorms, discussions, and internal dialogues behind the public works that we ship. Past guests on The Long Game podcast include: Morgan Brown (Shopify), Ryan Law (Animalz), Dan Shure (Evolving SEO), Kaleigh Moore (freelancer), Eric Siu (Clickflow), Peep Laja (CXL), Chelsea Castle (Chili Piper), Tracey Wallace (Klaviyo), Tim Soulo (Ahrefs), Ryan McReady (Reforge), and many more. Some interviews you might enjoy and learn from: Actionable Tips and Secrets to SEO Strategy with Dan Shure (Evolving SEO)Building Competitive Marketing Content with Sam Chapman (Aprimo)How to Build the Right Data Workflow with Blake Burch (Shipyard)Data-Driven Thought Leadership with Alicia Johnston (Sprout Social)Purpose-Driven Leadership & Building a Content Team with Ty Magnin (UiPath) Also, check out our Kitchen Side series where we take you behind the scenes to see how the sausage is made at our agency: Blue Ocean vs Red Ocean SEOShould You Hire Writers or Subject Matter Experts?How Do Growth and Content Overlap? Connect with Omniscient Digital on social: Twitter: @beomniscient LinkedIn: Be Omniscient Listen to more episodes of The Long Game podcast here: https://beomniscient.com/podcast/
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    51 分
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