The One Where Everyone Finds Out
(your ChatGPT & Claude links are public…)
I was planning to share the AI hallucinations issue next—you know, the one where your content sounds confident but totally wrong (The One Where Joey Speaks French). That's still coming.
But this was too big—and too urgent—not to jump the line.
Because what just happened changes everything for how B2B marketing leaders create, distribute, and control their content:
Google is now indexing public ChatGPT conversations.
And if you're not prepared, this could be your Monica-and-Chandler moment—where what you thought was private suddenly becomes very, very public.
What Just Changed
When you share a ChatGPT, Claude, or Gemini conversation via public link, here's what happens behind the scenes:
• It's crawlable by search engines
• It's indexable in Google's database
• It's rankable against other content
• It's discoverable by anyone searching relevant terms
That "quick brainstorm" you shared with your team? It's now a live web page that could outrank your official blog.
The Strategic Risks (And Why CMOs Should Care)
1. Unintentional Brand Exposure
The Problem: Your half-formed ideas, internal discussions, or client-specific brainstorms become searchable content under your name.
Example: A marketing leader shared a ChatGPT conversation about "positioning against [Competitor X]" to get team feedback. That link is now a top result when people search "[Company] vs [Competitor X] positioning."
2. Competitive Intelligence Leaks
The Problem: Shared AI conversations can reveal:
• Strategic priorities and concerns
• Budget constraints or investment areas
• Product roadmap elements
• Team structure changes
• Partnership discussions
The CMO Impact: Your competitors now have a new source of intelligence about your thinking, challenges, and direction.
3. Content Governance Breakdown
The Problem: AI-generated content shared publicly may not align with your brand voice, messaging guidelines, or legal review processes.
What I've Seen: Companies discovering that shared AI brainstorms contradict official positioning, contain outdated information, or make claims that haven't been verified by legal or compliance teams.
The Strategic Opportunity (Turn Risk Into Revenue)
But here's the pivot: if you approach this intentionally, it becomes a powerful new distribution channel.
The New Content Equation
Traditional: Create → Edit → Publish → Distribute → Hope for Discovery
AI-Powered: Prompt → Share → Index → Rank → Drive Traffic
Three Ways Forward-Thinking CMOs Will Be Using This
1. Thought Leadership at Scale
Instead of writing lengthy blog posts, create structured AI conversations that address common buyer questions, then share them strategically.
Example: "How should B2B SaaS companies think about AI in their go-to-market strategy?" becomes a comprehensive, searchable resource that positions you as a thought leader.
2. SEO Without Content Teams
Use AI conversations to capture long-tail keywords and niche topics your content team doesn't have bandwidth to cover.
Framework: Identify high-intent, low-competition search terms → Create structured AI conversations → Share with optimized titles → Monitor rankings.
3. Rapid Response Marketing
When industry news breaks or trends emerge, create immediate thought leadership through AI conversations rather than waiting for blog approval cycles.
Your AI Content Governance Playbook
Phase 1: Immediate Actions (This Week)
Audit Your Current Exposure
1. Search Google for: site:chatgpt.com "your name" or site:chatgpt.com "your company"
2. Check what AI conversations are already public
3. Evaluate whether existing shared links align with your brand
Establish Guardrails
• Create a "Public AI Sharing" policy for your team
• Define what topics/information should never be in shared AI conversations
• Set up approval workflows for strategic AI content sharing
Phase 2: Strategic Implementation (Next 30 Days)
Use the PIVOT Method for AI Content Creation:
Purpose: Define why you're creating this AI conversation (thought leadership, SEO, lead generation)
Input: Craft prompts that generate structured, valuable content
Verify: Review and edit AI output for accuracy and brand alignment
Optimize: Add clear titles, structure, and calls-to-action
Track: Monitor performance, rankings, and engagement
Create Content Clusters - Develop AI conversations around key themes:
• Industry trend analysis
• Buyer education content
• Strategic frameworks
• Tool comparisons and recommendations
• Leadership insights and lessons learned
Phase 3: Scale and Optimize (Next 90 Days)
1. Identify your top 10 buyer questions/pain points
2. Create comprehensive AI conversations for each
3. Share strategically with SEO-optimized titles
4. Build internal links between related AI conversations
5. Monitor which topics drive the most engagement and double down
Tactical Implementation Guide
The Strategic AI Prompt - Use this structure for creating valuable, shareable AI conversations:
Act as a [your title/expertise area] with [X years] experience in [industry].
A [target audience member] just asked: "[specific question]"
Provide a comprehensive answer that:
- Addresses their core concern
- Offers 3-5 actionable insights
- Includes specific examples or frameworks
- Mentions potential pitfalls to avoid
- Suggests next steps
Structure your response with clear headings and make it valuable enough that someone would bookmark it.
Pre-Share Checklist
Before sharing any AI conversation publicly:
• Does this align with our brand messaging?
• Have I removed any confidential/sensitive information?
• Is the content accurate and up-to-date?
• Does it provide genuine value to our target audience?
• Have I optimized the title for search discovery?
• Is there a clear call-to-action or next step?
Measuring Success
Track these metrics for your AI content strategy:
Discovery Metrics:
• Search rankings for target keywords
• Organic traffic from shared AI conversations
• Backlinks generated from AI content
Engagement Metrics:
• Time spent on AI conversation pages
• Click-through rates to your main site
• Lead generation from AI content CTAs
Authority Metrics:
• Mentions and citations of your AI content
• Speaking opportunities generated
• Inbound partnership/collaboration requests
Advanced Strategies for AI Content Leaders
The Expert Interview Simulation
Create AI conversations where you "interview" industry experts (using their public knowledge and frameworks). Share these as thought leadership pieces that position you as someone who synthesizes expert thinking.
The Competitive Analysis Deep Dive
Use AI to analyze public information about competitors, create comprehensive comparison frameworks, then share as valuable buyer resources (while being careful about claims and factual accuracy).
The Trend Prediction Engine
Weekly AI conversations analyzing industry trends, predictions, and implications. Build a reputation as someone who spots trends early and thinks strategically about their impact.
Central Perk Coffee Break (Quick Win)
5-Minute Action: Right now, create a ChatGPT conversation answering one question your prospects ask frequently.
Use this prompt:
"Act as a [your role] helping a [target buyer]. They just asked: '[common question]'. Give them a comprehensive, actionable answer they'd want to save and share."
Edit the output, add a clear title, share the link, and post it on LinkedIn with context about why this question matters.
Why it works: You're not just sharing random AI output—you're providing curated expertise that builds authority and drives discovery.
What's Coming Next
The One Where Joey Speaks French (Issue #4)
AI hallucinations are getting more sophisticated and harder to catch. Next week, we'll dive into:
• How to spot confident-but-wrong AI outputs
• Quality control frameworks for AI-generated content
• When to trust AI vs. when to verify everything
• Building internal processes to prevent "Joey moments" in your marketing
Plus: I'll share the exact verification checklist I use before publishing any AI-assisted content.
The bottom line: You're no longer just a prompt writer—you're a publisher, whether you intended to be or not.
The question isn't whether this will impact your content strategy. It's whether you'll lead this change or react to it.
Choose wisely.
—Lisa
P.S. - I wrote this issue using the exact AI-assisted process I described above. The irony? If I share our brainstorming conversation, it'll probably rank for "AI content strategy for CMOs." Meta? Absolutely. Effective? We'll find out.
Forward this to another marketing leader who needs to know about this shift.
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