Every day, thousands of companies pump out AI content. 

Most of it's worthless. 

But a few companies are using AI to create content their competitors can't touch - turning unique knowledge into unbeatable advantages.

The right prompts and models are the tools they use.  

The right strategy is the difference maker.

Quality AI content is ultimately about creating genuinely valuable insights that your competitors can't replicate.

What Google Actually Says About AI Content

Google's stance is clear: they don't care how content is created—they care about its value to users. 

Google's goal is to get the highest quality results that match a user's query. Google is far less interested in how content is created, be it human or AI, and much more interested in its authority, quality, unique perspective, and the experience of the page.

Take a look at how Google explains their take on AI Google explains their take on AI content: 

The Two Paths of AI Content Creation

Google has made multiple algorithm updates designed to reduce low-quality, unoriginal content in search results. But it wasn’t a war on AI content, it's a war on bad content. 

This creates two clear factions of content marketers: 

1. Mass-produced AI-generated fluff that will increasingly get filtered out.
2. Valuable content and resources created with the aid of AI that drive real results.

The Quick Fix Approach: High Volume & Low Quality AI Content 

Most companies' AI content strategy is pumping out garbage at scale. 

They're flooding the internet with:

• Regurgitated competitor content
• Content that even their own teams wouldn't read
• Cookie-cutter, undifferentiated "insights" anyone could generate
• SEO-stuffed fluff that adds zero value

It's digital pollution, and Google is increasingly treating it like spam. 

These companies aren't building assets - they're creating liabilities.

And this was a large reason for Google’s March 2024 update: to cut down on poor AI-generated content. Google expects this update to "reduce low-quality, unoriginal content in search results by 40%.”

You avoid being penalized for this, while still using AI in your content production, if you do focus on a sustainable strategy. 

The Long-Term Approach: Quality Content, That Can Scale

The old rule was simple: you could have quality content or SEO scale, but never both. 

AI changes this equation, letting you turn your unique expertise into ranking content at scale.

Companies that do this, use AI to:

• Build content moats their competitors can't recreate
• Transform internal expertise into unreplicable thought leadership
• Turn support tickets and proprietary data into ranking content
• Convert customer insights into market-leading perspectives

Companies taking this approach don't just see traffic growth - they build market dominance through their content. 

Their content ranks above competitors, attracts backlinks organically, and creates compound value over time. Perhaps most importantly is that high quality content conveys expertise and thought leadership. 

While everyone can access AI tools, few have the discipline to turn their unique knowledge into strategic content assets. 

Most will keep choosing the easy path of volume. 

That's your opportunity. 

While others drown in their own mediocrity, you can build something that becomes more valuable - and harder to copy - every single day.

3 Business Impacts of AI-Generated Content

The choice between “volume-first” and “quality-first” fundamentally shapes your company's future. However, when you use AI as a strategic weapon, you no longer need to make the binary trade-off of Quantity or Quality. 

AI used strategically doesn't force a choice between Quality and Scale—it amplifies both.

You can indeed have high quality content, scaled with AI. 

Let's examine how these approaches play out across three critical business dimensions.

The Immediate Impact: Traffic and Engagement 

Spammy, low quality AI content follows a predictable pattern: quick traffic spikes followed by sharp declines. 

Source

High bounce rates and low engagement reveal readers finding little value, leading to poor conversion rates despite high initial traffic. 

Quality-first content takes the opposite path: slower growth but steadily increasing engagement. 

As readers find genuine value, they spend more time on page, share content naturally, and create backlinks—building a snowball effect of authority that competitors struggle to match.

The Long-Term Consequences: Brand and Authority 

Volume-first players paint themselves into a corner: their brand becomes synonymous with shallow content while their massive library becomes a maintenance burden. 

In contrast, quality-focused companies build a moat of valuable, hard-to-replicate resources. Their reputation for expertise grows stronger over time, attracting better customers and commanding premium prices. 

While volume-first players fight to maintain relevance, quality-first leaders build sustainable advantages that compound over time.

The Business Impact: Resources and ROI 

The volume-first approach's low upfront costs hide its true expense: large production teams, constant content replacement, and frequent strategy shifts to chase algorithm updates. 

Quality-first content demands higher initial investment but delivers superior long-term ROI. These companies create fewer, better pieces that generate value for years, with each new piece strengthening their overall authority. Their efficiency increases over time, while volume players face diminishing returns.

The Framework for High-Quality AI Content Success

Most companies dive straight into AI content, and fail to hit the sweet spot. 

The winners build methodically, starting small and scaling what works. 

Here's the framework that separates AI content success from AI content spam:

1. Start Small, Scale What Works 

Don't try to automate everything at once. Start small and stick with it. 

Start by examining your current workflow: Where are you spending the most time? Which tasks are repetitive? What processes are prone to error? 

Begin with 20-25% automation involvement in these areas where you can get quick wins. 

Look for your "low-hanging fruit": data-rich sources you can leverage, bottlenecks you can eliminate, and high-impact areas that directly drive business growth. 

Then test different approaches in small batches, measure what resonates, and gradually increase AI's role in workflows that prove successful.

2. Ground Everything in Original Content 

The foundation of your content isn't going to be AI—it's your unique knowledge assets. Look deeper than you think:

• Internal documentation and presentations
• Support ticket insights
• Customer calls and Loom recordings
• Sales team knowledge
• Product development insights
• Case studies and testimonials

You'd be surprised what valuable content assets are hiding in plain sight.

Companies that succeed with AI generated content include proprietary data and insights that only they can access. 

Here’s an example of how Paragon Intel’s traffic grew by following a high-quality approach to AI content.

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3. Include Strategic Human Oversight 

The goal isn't end-to-end automation with AI. 

It's augmentation. 

Place human expertise where it matters most:

• Expert review at critical decision points
• Brand voice and quality verification
• Customer context and nuance
• Strategic direction setting
• Technical accuracy checks
• Content performance analysis

Success comes from knowing when human judgment is essential. 

The difference between good and great content comes down to the human elements that make it not just informative, but genuinely insightful.

4. Scale Your Infrastructure

Your content engine needs the right foundation to scale quality, not just quantity.

Technical Foundation

• Connect AI workflows directly to your CMS
• Build flexible, scalable content frameworks
• Set up efficient review and approval flows

Process Optimization

• Create repeatable processes that maintain quality
• Enable quick updates and optimization
• Keep workflows adaptable as AI evolves

As Kevin Indig notes: "Ensure your website's CMS is flexible and scalable, user experience is top-tier, and automation helps you move faster than competitors."

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Building an AI content engine requires thoughtful groundwork. 

Start small, then test your output like a growth team: release in small batches, measure what works, and scale your winners.

You’re now on your way to being in the 1% of companies that use AI for long term success. 

Common Pitfalls to Avoid: What We Stand Against

Most companies use AI just to create more generic content. 

We believe in creating better ideas.

Here's what smart companies avoid:

Volume Over Value

• Mass-producing rewritten competitor content
• Creating "low nutritional value" articles
• Automating without expertise or oversight
• Relying purely on public information

Strategic Mistakes

• Rushing to scale without proper foundation
• Skipping human quality checkpoints
• Ignoring performance data
• Choosing speed over sustainable advantage

The Real Cost? 

No defensible market position, damaged brand reputation, and content that loses value over time.

While others churn out “low-nutritional value” AI content, you can build content assets that become more valuable—and harder to replicate—every day.

How Deepgram Mastered the Quality Approach to AI Content

Deepgram is a Voice AI tool that was challenged in standing out in a competitive market and generating organic growth. Lots of AI companies were creating similar content. 

However, Deepgram succeeded by identifying and executing on three key insights:

1. Market Opportunity Recognition 

Deepgram spotted an unfilled content gap: comprehensive information about new AI startups.

This topic perfectly aligned with their target audience of builders and early-stage companies, while facing minimal existing competition.

2. Strategic Content Approach 

Rather than creating generic AI content, they built a systematic process to:

• Research newly launched AI products via Product Hunt and other platforms
• Compile detailed information including screenshots, founder details, and pricing
• Create comprehensive, structured profiles that became the best online resource for each company

3. Execution Excellence 

Their success came from combining multiple advantages:

• High-quality, detailed content that often ranked above the startups' own websites
• Strong topical authority in the AI space
• Low competition for high-intent keywords
• Systematic process for consistent quality at scale

The results were remarkable: a 36X traffic increase initially, settling to a sustainable 20X improvement. 

This success demonstrates that effective AI content isn't about volume—it's about identifying unique opportunities and creating genuinely valuable resources that serve a clear market need. 

Through this approach, Deepgram didn't just create content—they built a valuable industry resource that continues to drive organic growth and establish their leadership in the AI space.

My Advice To Succeed With AI Content Four Core Principles for AI Content Success

1. Find Your Unique Angle 

The real differentiator isn't just quality writing—it's unique perspective and proprietary insights that no one else can offer. 

For Deepgram, this meant leveraging their position in the AI ecosystem to create detailed company profiles. 

For your company, this might mean diving deep into your proprietary data, sharing unique customer success stories, or offering insider perspectives on industry trends. 

Takeaway: Your competitive advantage lies in sharing insights that AI alone cannot generate.

2. Focus on Quality Inputs 

The core thing we tell customers again and again, is that when working with LLMs, the quality of the content in equals the quality of the content out.

This means investing time in documenting your company's unique insights, gathering original research, conducting customer interviews, and analyzing proprietary data. 

Takeaway: The most successful companies treat their content inputs as a strategic asset, continuously gathering and organizing unique insights that can fuel dozens of high-value pieces.

3. Build for the Sustainable Growth

Stock AI content can work short-term, but it's much less sustainable than creating something thoughtful, grounded, and structured.

Instead, focus on creating cornerstone content that serves as a foundational resource in your space. 

• Creating content that becomes more valuable over time
• Building authority that's harder to replicate
• Developing systems that scale quality, not just volume
• Establishing feedback loops to refine your approach

The more you can leverage your unfair advantage, the more sustainable it's going to be.

Over time your content will build a library that becomes increasingly valuable and harder to replicate over time. 

Want to see if you are ready to get started with AI content? Get our AI Readiness Report Here.

4. Optimize for Both Search and AI 

Generative experiences are changing how content gets discovered, but the fundamentals remain the same. 

This creates a dual opportunity:

• Create well-structured, crawlable content that ranks traditionally
• Increase brand mentions across high-authority pages
• Maintain consistency with existing brand content
• Stay adaptable as generative AI evolves

Takeaway: The winning strategy isn't choosing between traditional SEO and AI optimization - it's building content that works for both while staying focused on quality.

Transform Your Content Advantage

The market is splitting: those using AI to create more “Volume-First” content, and those building lasting advantages with “Value-First” content. 

To win, examine your assets:

• What internal knowledge lies untapped in your documentation and team conversations?
• Where do you have expertise that AI alone can't replicate?
• What customer insights could become valuable content?

While others chase SEO spam with basic AI tools, you can build a content engine that amplifies your unique market position. 

It takes more upfront work, but creates sustainable advantages that compound over time.

The tools are available to everyone. 

The strategy, insight, and commitment to quality? 

That's where winners separate themselves from the pack.

Ready to create content that matters?

Book a call today. 

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