Creating Non-Commodity Content for AI-Saturated Search

In a digital landscape increasingly saturated with AI-generated "slop," this conversation with Kipp Bodnar on "Marketing Against The Grain" offers a critical framework for creating truly valuable, non-commodity content that cuts through the noise and captures Google's attention. The core thesis is that differentiation in search and AI discovery now hinges on content that is uniquely yours, grounded in proprietary evidence, firsthand experience, and a distinct point of view. This isn't just about avoiding AI; it's about leveraging human experience and specific insights to build a lasting competitive advantage. Marketers, business owners, and content creators looking to future-proof their traffic and audience engagement will find immense value in understanding these non-obvious implications of the evolving content landscape.

The Unseen Battle for Attention: Commodity vs. Non-Commodity Content

The internet is drowning in content. AI has democratized the creation of generic information, leading to a flood of "slop" that offers little unique value. This is the central challenge Barry Schwartz and Danny Sullivan, among others, are grappling with: how to distinguish truly valuable content from the ubiquitous, AI-generated noise. The critical insight here is that what once passed for good content--well-researched, informative articles--is now becoming commodity. The real battle, and the path to ranking #1 on Google in 2026, lies in creating "non-commodity" content. This isn't just about being better; it's about being fundamentally different.

The consequence of this shift is profound. Content that is easily replicated by AI or any competitor will struggle to gain traction. It becomes invisible. The advantage, therefore, accrues to those who can produce content that only they could create. This is the essence of Dharmesh Shah and Brian Halligan's long-standing test: could a yoga studio say this? If the answer is yes, it's likely commodity. The implication is that marketers must move beyond simply answering questions and instead provide unique perspectives, proprietary data, and authentic experiences that AI cannot synthesize from existing data. This requires a strategic shift from breadth to depth, from generic to specific, and from passive reporting to active, opinionated storytelling.

"What really makes content non-commoditized is only you could have written it."

-- Danny Sullivan (as discussed by Kipp Bodnar)

This focus on uniqueness has downstream effects on audience engagement and loyalty. When content is genuinely original, it fosters a deeper connection with the reader. They don't just get information; they get insight, a perspective that resonates with their own experiences or challenges their assumptions. This is where delayed payoffs emerge. Building a library of non-commodity content takes more time and effort upfront. It requires digging into proprietary data, conducting unique analyses, and sharing personal experiences. However, the reward is a more defensible position in search results and a more engaged audience that relies on your unique insights, creating a moat against competitors and AI alike. Conventional wisdom, which often favors quick, easily produced content, fails when extended forward into this new search environment, as it leads directly to the commodity trap.

The Six Pillars of Uniqueness: Building Your Content Moat

The challenge, then, is how to consistently produce this non-commodity content. Kipp Bodnar outlines a six-step framework, derived from discussions with SEO experts, that serves as a robust filter for content quality and uniqueness. These checkpoints are not merely suggestions; they are the critical differentiators that will determine visibility in an AI-saturated world.

The Power of Proprietary Evidence and First-Hand Experience

The first two checkpoints--proprietary evidence and first-hand experience--are foundational. Commodity content often relies on widely available facts. Non-commodity content, however, is built on what you specifically know or have personally done. Consider the example of a running store. An old article might list the "top 10 things to consider when buying running shoes." This is easily replicated. The non-commodity version, however, dives into specifics: "Why this customer's shoes collapsed after 400 miles: A wear pattern analysis. Jake brought his Brooks Ghost 15s in at 402 miles. Lateral foam on the right heel was compressed 4 millimeters deeper than the left, a signature of his forefoot strike. Photos below." This level of detail--specific customer, specific shoe model, specific mileage, specific measurements, and unique photos--is something AI cannot invent. It’s grounded in real-world observation and data.

The same principle applies to first-hand experience. Instead of "Seven Tips for First-Time Home Builders," a non-commodity piece might be "Why we waived the inspection and saved $15,000: A look inside the sewer line." This story, complete with personal action and unique visuals, is inherently non-replicable. These elements create a narrative that AI struggles to mimic, fostering a deeper connection with the audience. The delayed payoff here is significant: content built on unique, verifiable experiences builds trust and authority over time, making it a more durable asset than generic advice.

"What's interesting instead of showing basic, general, generic traits of the shoes, it's name-specific, shoe-specific, specific mileage, specific measurement, and only a photo that that store could take, right? Because that photo is unique to Jake and his perspective."

-- Kipp Bodnar

Specificity and Point of View: Drawing the Line

Specificity is the next critical element. This means moving beyond adjectives to hard numbers, names, and dates. An article on kitchen trends becomes far more valuable when it details "Marble versus Grape Juice: Why I refused to install stone for a family of five. Oh, the Hendrix have three children under seven. I dripped grape juice and turmeric onto Calacatta Viola and Taj Mahal Quartzite in my shop on March 14th. Here are the 24-hour stain photos." This level of detail transforms a generic topic into a concrete, verifiable case study. The rule of thumb: for every adjective, ask if it can be replaced with a number, name, or date.

Coupled with specificity is a strong point of view. The era of neutral, "here are both sides" content is over. As Kipp notes, the world is done with people unwilling to take a stand. A non-commodity approach might sound like, "I won't install marble in a house with kids. Here's my line, and it's a sharp rule, willing to lose the job." This clear stance--"If you have three kids under 10, I will walk away from a marble countertop job"--alienates some but deeply engages others who share that perspective. This requires courage, but it's essential for differentiation. The implication is that taking a strong, even unpopular, stance now can create a loyal following and a distinct brand identity that AI cannot replicate.

The LLM Test and Information Gain: Proving Your Value

The fifth checkpoint directly addresses the AI challenge: "Could ChatGPT write this without any help from you?" If the answer is yes, the content is likely commodity. The example of the running shoe article returning to X-rays of customer feet--data that AI doesn't possess--illustrates this. AI can synthesize existing information, but it cannot generate new, proprietary data or unique analyses from real-world observations. This checkpoint forces creators to focus on what makes their knowledge unique.

Finally, "information gain" ensures that readers learn something genuinely new. A generic article on winning bidding wars is easily produced by AI. An article that states, "We ran 41 offers in 2025. The personal letter trick lost more often than it won. Across 41 buy-side offers we represented in 2025, personal letters were attached to 19, accepted with the letters 31, without 54," offers counterintuitive, data-backed insights that contradict conventional wisdom. This is information gain. The advice to Google your own headline and compare your content to the top three results is a practical way to ensure you're adding novel value. This is where significant, long-term competitive advantage is built; by consistently delivering new, valuable information that others cannot easily access or produce.

"If you can't, then you don't really have a strong point of view in the content you're creating."

-- Kipp Bodnar

Actionable Steps to Non-Commodity Content

To move from understanding to execution, here are concrete steps to infuse your content with non-commodity value:

• Immediate Action (0-3 Months):

  • Audit Existing Content: Review your top-performing content. Identify which pieces are generic and which have unique elements. Use the six checkpoints as a grading rubric.
  • Adopt the "Could ChatGPT Write This?" Test: Before creating any new piece of content, ask yourself this question. If the answer is easily "yes," pivot to find a unique angle, data point, or experience.
  • Incorporate Specificity: For every adjective in your writing, challenge yourself to replace it with a number, name, or date.
  • Develop a "Point of View" Statement: For each major piece of content, draft a sentence starting with "I believe," "I won't," or "I disagree with..." to solidify your stance.

• Medium-Term Investment (3-12 Months):

  • Gather Proprietary Data: Actively collect unique data points from your operations, customer interactions, or internal studies. This could be anything from wear-analysis on products to customer survey results specific to your niche.
  • Document First-Hand Experiences: Create a system for capturing and sharing personal anecdotes, case studies, and "behind-the-scenes" insights from your team's work.
  • Benchmark Against Top Competitors: Use the six-checkpoint framework to analyze the top 3-5 search results for your target keywords. Identify where they are falling short and where you can add unique value.

• Longer-Term Strategy (12-18+ Months):

  • Build a "Content Grader" Tool: As discussed in the podcast, consider creating a simple internal tool or process to score your content against the six checkpoints. This programmatic approach ensures consistent quality.
  • Invest in Unique Visuals and Media: Commission custom photography, create original infographics, or record unique video content that directly supports your proprietary evidence and experiences. This is a significant differentiator that AI cannot replicate.
  • Cultivate and Share Expert Takes: Encourage internal subject matter experts to share their unique perspectives, challenging conventional wisdom and providing deep insights that build a reputation for originality. This requires patience, as building this authority takes time but creates a durable competitive advantage.