The rules of content strategy are changing. AI-powered search, automated content creation, and shifting discovery patterns mean what worked for the past decade may not work for the next.

If you’re responsible for content strategy at a media company, now is the time to audit your approach. Here’s a framework I’ve developed for evaluating content strategies in light of AI-driven changes.

The Core Question

The fundamental question for any content audit: Is our content defensible in a world where AI can generate commodity content at near-zero cost?

Content that AI can easily replicate has rapidly declining value. Content that AI can’t replicate—or can only replicate poorly—retains value.

Every piece of your strategy should be evaluated against this question.

Audit Area 1: Content Differentiation

Start by honestly assessing what makes your content distinctive.

Questions to ask:

• What can we provide that AI cannot?
• Would readers notice if AI generated our content instead of humans?
• What expertise, access, or perspective do we uniquely offer?
• If a reader described our content to a friend, what would they say that distinguishes us?

Red flags:

• Content indistinguishable from what AI could generate
• Reliance on commodity information without added value
• No clear voice, perspective, or editorial point of view
• Content that’s primarily aggregation or summarization

Signs of strength:

• Original reporting with exclusive sources or access
• Distinctive voice that reflects genuine expertise or perspective
• First-party data or analysis unavailable elsewhere
• Deep community relationships and local presence

If your content isn’t differentiated, AI will devalue it—through direct competition if content creation, through reduced search visibility if AI summaries replace click-throughs.

Audit Area 2: Discovery Vulnerability

Examine how readers find your content and how AI might disrupt those channels.

Questions to ask:

• What percentage of traffic comes from search?
• For search traffic, what types of queries drive it?
• How vulnerable are those queries to AI-generated answers?
• Do we have direct audience relationships (subscribers, app users)?

Red flags:

• Heavy dependence on informational search queries (“what is X,” “how to Y”)
• No significant direct audience relationships
• Reliance on social platforms that are deprioritizing news
• Minimal email subscriber base

Signs of strength:

• Strong branded search traffic (people searching for you specifically)
• Substantial direct traffic from bookmarks or apps
• Large, engaged email list
• Navigational queries where you’re the obvious destination

The discovery channels most vulnerable to AI disruption are informational search queries—exactly the queries that AI can answer directly. Audit your traffic to understand your exposure.

Audit Area 3: Content Types and Mix

Evaluate your content portfolio for AI resilience.

Questions to ask:

• What percentage is news/information versus analysis/opinion?
• How much original reporting versus aggregation?
• What content requires on-the-ground presence or human sources?
• What content is primarily commodity information?

Red flags:

• Heavy reliance on content that answers simple questions
• Significant aggregation of others’ reporting
• Little original investigation or exclusive reporting
• Content that’s primarily functional (event calendars, data tables)

Signs of strength:

• Substantial original reporting with named sources
• Analysis and opinion with identifiable expertise
• Content requiring on-ground presence (local news, event coverage)
• Investigation and accountability journalism

Rebalance your content mix toward types that retain value in an AI-saturated environment.

Audit Area 4: Audience Relationship Depth

Assess the strength of your reader relationships.

Questions to ask:

• How many readers have direct relationships with us (email, subscriptions, accounts)?
• What’s our subscriber retention rate?
• How engaged are our most committed readers?
• Could we survive if platform traffic disappeared?

Red flags:

• Most readers are anonymous one-time visitors
• Low subscriber retention suggesting weak value proposition
• Minimal engagement beyond pageviews
• Revenue entirely dependent on display advertising

Signs of strength:

• Large percentage of return visitors and subscribers
• Strong retention metrics indicating genuine value
• Active engagement (comments, sharing, community participation)
• Diversified revenue with significant reader contributions

The publishers who’ll thrive in the AI era are those with readers who actively seek them out—not those who depend on algorithm-driven discovery.

Audit Area 5: Operational Adaptability

Evaluate your organization’s ability to adapt.

Questions to ask:

• How quickly can we adjust content strategy?
• Do we have staff capable of using AI tools effectively?
• What’s our capacity for experimentation?
• How does decision-making work for strategic changes?

Red flags:

• Slow, bureaucratic decision processes
• Staff resistant to or unfamiliar with AI tools
• No capacity for experimentation
• Strategy locked in by legacy commitments

Signs of strength:

• Agile decision-making for strategic adjustments
• Staff comfortable with AI tools and willing to learn
• Active experimentation culture
• Leadership open to fundamental change

The AI-driven changes will require ongoing adaptation. Organizations that move slowly will struggle.

Building an Action Plan

Based on your audit, prioritize actions:

If differentiation is weak: Invest in original reporting, develop distinctive voice, or specialize in areas where you have genuine expertise.

If discovery is vulnerable: Accelerate direct audience development—email subscriptions, apps, membership programs. Reduce dependence on search for commodity queries.

If content mix is risky: Shift resources toward content types that retain value. Reduce investment in easily-automated content.

If audience relationships are shallow: Focus on conversion and retention. Build engagement beyond pageviews.

If operations aren’t adaptable: Address organizational barriers to change. Build AI literacy. Create space for experimentation.

Working with AI, Not Against It

This audit isn’t about avoiding AI—it’s about positioning to thrive alongside it.

AI can help your content strategy succeed: assisting research, accelerating production, improving distribution. The goal is using AI as a tool while building value that AI alone can’t provide.

The content operations that will succeed are those that combine AI’s capabilities with distinctively human journalism—original reporting, expert analysis, community connection, ethical judgment.

An honest audit reveals where you need to strengthen. The time to start is now.

A Final Note on Urgency

The changes I’m describing aren’t theoretical future possibilities. They’re happening now.

Search traffic patterns are already shifting. AI-generated content is already flooding the internet. Discovery dynamics are already changing.

Publishers who conducted this audit a year ago are in better positions than those starting today. Those who wait another year will be in worse positions.

Urgency is appropriate. But panic isn’t helpful. Honest assessment, strategic prioritization, and consistent execution remain the path forward—just with heightened time pressure.

Audit your strategy. Identify vulnerabilities. Act accordingly. The AI age rewards those who adapt.