We have 500+ blog posts, dozens of guides, and a library of whitepapers. Traditional SEO has treated us well. Now we need to make all this content work for AI search.
The challenge:
What we’re trying to figure out:
We have content. We have traffic. We need to make it AI-ready without rebuilding from zero. How are others handling this?
We had 800+ pages to optimize. Here’s the actual workflow we built:
Step 1: Prioritization Matrix
Score each page on:
Multiply scores. Start with highest-scoring pages.
Step 2: The Restructuring Checklist
For each page:
Step 3: Batch Processing
We do 5 pages per week:
Result: 50 pages optimized in 10 weeks. AI visibility improved 40%.
Love this. Our “minimum viable optimization” version:
If you can only do 3 things per page:
This takes about 45 minutes per page and gets 70% of the benefit.
We optimized 100 pages in 6 weeks with this approach. Not perfect, but massive improvement over doing nothing.
The key concept is snippability - how easily AI can extract a piece of your content.
Highly snippable (AI loves):
Low snippability (AI struggles):
The Snippability Test: Pull a random sentence from your content. Does it make sense on its own? Would it be useful in an AI answer?
If not, rewrite it to be self-contained.
Example transformation: Before: “This is why we developed our solution, which helps companies address these challenges through innovative approaches that have proven effective.”
After: “Our platform reduces customer onboarding time by 50% through automated workflow templates and guided setup processes.”
Tables are AI gold. We converted list-like content to tables everywhere.
Before: “Our product offers features including automated reporting, custom dashboards, team collaboration tools, and API integrations. We support integrations with Salesforce, HubSpot, Slack, and more.”
After:
| Feature | Description | Best For |
|---|---|---|
| Automated Reporting | Daily/weekly reports sent automatically | Time savings |
| Custom Dashboards | Build your own visualization | Data analysis |
| Team Collaboration | Comments, sharing, @mentions | Team workflows |
| API Integrations | Connect with Salesforce, HubSpot, Slack | Enterprise |
Why this works:
We converted 45 feature lists to tables. AI citation rate for feature-related queries jumped 60%.
FAQ sections are the highest-ROI repurposing tactic.
Why FAQs work for AI:
How to create FAQs from existing content:
Identify implicit questions Your content answers questions even if not phrased that way. “Our tool integrates with Salesforce” → “Does [Product] integrate with Salesforce? Yes, our tool offers native Salesforce integration…”
Check “People Also Ask” for your topics These are actual questions people have Create FAQs answering these specifically
Review customer support tickets Real questions from real customers These become authentic FAQs
Analyze competitor FAQ sections What questions are they answering? Make sure you answer them too (better)
Template for FAQ answers: “[Direct answer in first sentence]. [Supporting detail]. [Specific example or data point].”
Add 5 FAQs to every major page. Takes 30 minutes, massive AI visibility impact.
Our content audit process for AI optimization:
Phase 1: Inventory (Week 1) Export all URLs with:
Phase 2: Categorize (Week 2) Tag each page:
Phase 3: Gap Analysis (Week 3) For each topic area:
Phase 4: Optimization Plan (Week 4) Create specific task list:
Phase 5: Execution (Ongoing) 5-10 pages per week Track AI visibility improvements Adjust priorities based on results
This gave us a clear 6-month roadmap from chaos.
Schema markup amplifies your restructuring efforts:
Priority schema types for content repurposing:
FAQPage - For FAQ sections
HowTo - For guides and tutorials
Article - For blog content
ItemList - For listicles
Implementation workflow:
Schema tells AI: “This is a FAQ, this is the question, this is the answer.”
Without schema, AI has to guess. With schema, AI knows for certain.
Don’t try to optimize everything. Prioritize ruthlessly.
Our prioritization hierarchy:
Tier 1: Optimize First (This Month)
Tier 2: Optimize Next (Next Quarter)
Tier 3: Optimize Later (Next 6 Months)
Tier 4: Don’t Optimize
We have 400 pages. Only 50 are Tier 1. Start there.
Don’t spread effort across everything. Concentrate for impact.
Don’t forget non-text content:
Video transcripts:
Podcast content:
Webinar content:
Case studies:
PDF whitepapers:
This unlocked huge amounts of content we weren’t leveraging for AI.
Measure repurposing ROI:
Before optimization:
After optimization:
Our tracking dashboard includes:
What we learned from tracking:
Track everything so you know what’s actually working.
This is exactly what we needed. Here’s our implementation plan:
Week 1: Setup
Week 2-3: Tier 1 Optimization
Week 4-6: Tier 1 Continued + Templates
Month 2-3: Tier 2 Optimization
Ongoing: Process Improvements
Key takeaways:
Thank you all - this transforms an overwhelming project into a manageable process.
Get personalized help from our team. We'll respond within 24 hours.
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