Our AI visibility score is terrible despite good SEO. What's the fastest path to improvement?
Community discussion on fixing low AI visibility scores. Real experiences from marketers on diagnosing and improving AI search presence quickly.
Just ran our first AI visibility audit. Results are embarrassing:
My boss wants improvement fast. We can’t wait 12 months for authority building.
Questions:
Need practical, fast-acting advice.
I specialize in visibility turnarounds. Here’s the prioritized playbook:
Week 1-2: Technical Foundation (Quick wins)
| Action | Effort | Impact Timeline |
|---|---|---|
| Add Organization schema | Low | 2-3 weeks |
| Add FAQ schema to key pages | Low | 2-3 weeks |
| Implement Author schema | Low | 2-3 weeks |
| Fix robots.txt for AI crawlers | Low | 1-2 weeks |
| Add llms.txt | Low | 2-4 weeks |
Week 3-4: Content Structure (Medium wins)
| Action | Effort | Impact Timeline |
|---|---|---|
| Add TL;DR to top 20 pages | Medium | 3-4 weeks |
| Convert key info to tables/lists | Medium | 3-4 weeks |
| Add FAQ sections to top pages | Medium | 4-6 weeks |
| Ensure direct answers in first paragraph | Medium | 4-6 weeks |
Month 2: Content Enhancement
| Action | Effort | Impact Timeline |
|---|---|---|
| Add expert bylines + credentials | Medium | 4-6 weeks |
| Update outdated content | Medium | 4-8 weeks |
| Add original data/insights to top content | High | 6-8 weeks |
| Create comparison content | High | 6-8 weeks |
Realistic expectations:
You won’t match competitors in 90 days, but you can show meaningful progress.
TL;DR format that works best for AI:
Position: Very top of content, before main body
Structure:
<div class="tldr">
<h2>TL;DR</h2>
<p>[One sentence direct answer to the main question]</p>
<ul>
<li><strong>Key Point 1:</strong> Brief expansion</li>
<li><strong>Key Point 2:</strong> Brief expansion</li>
<li><strong>Key Point 3:</strong> Brief expansion</li>
</ul>
</div>
Example:
TL;DR
GEO (Generative Engine Optimization) is the practice of optimizing content for AI search visibility.
- **What it is:** Techniques to appear in AI-generated answers
- **Why it matters:** 58% of consumers now use AI for product recommendations
- **How it differs from SEO:** Focuses on citations, not rankings
Why this works:
Word count: 50-100 words total. Concise but complete.
More quick wins that work:
Already-ranking content optimization:
If pages already rank well in Google, they’re candidates for AI optimization. Focus there first.
| Existing Asset | Quick Optimization |
|---|---|
| Blog posts | Add TL;DR, FAQ section |
| Product pages | Add FAQ schema, comparison tables |
| Service pages | Add “Who this is for” section |
| About page | Ensure Organization schema |
| Team pages | Add Person schema, credentials |
Why this is fastest:
Pages with existing authority get AI attention faster than new pages. Optimize what’s already working.
The audit process:
Real numbers:
We took 30 ranking pages through this process. Within 6 weeks:
FAQ section strategy for quick wins:
Why FAQ sections work:
How to add effectively:
Step 1: Identify questions
Step 2: Write complete answers
Step 3: Add to page
Step 4: Add schema
Time investment:
Technical quick wins checklist:
Day 1 fixes:
[ ] Organization schema on homepage
[ ] Check robots.txt allows AI crawlers
[ ] Verify sitemap includes key pages
Week 1 fixes:
[ ] FAQ schema on top 10 pages
[ ] Author schema with credentials
[ ] Article schema on blog posts
[ ] llms.txt file implementation
robots.txt for AI crawlers:
Check you’re NOT blocking:
Many sites accidentally block these.
llms.txt quick implementation:
# llms.txt
User-agent: *
Sitemap: https://yoursite.com/sitemap.xml
# Primary content
Primary: /blog/
Primary: /products/
Primary: /about/
# Company information
Name: Your Company Name
Description: One line about what you do
Time to implement all technical fixes:
A developer can do this in 1-2 days. Impact starts showing in 2-4 weeks.
Measuring improvement properly:
What to track:
| Metric | Tool | Frequency |
|---|---|---|
| Citation rate by platform | Am I Cited | Weekly |
| Share of voice vs competitors | Am I Cited | Weekly |
| Citation position | Am I Cited | Weekly |
| Branded AI queries | Analytics | Monthly |
| Organic traffic from AI referrals | GA4 | Monthly |
Setting realistic goals:
| Timeframe | Realistic Goal | Stretch Goal |
|---|---|---|
| 30 days | +5% citation rate | +10% |
| 60 days | +15% citation rate | +25% |
| 90 days | +25% citation rate | +40% |
What affects speed of improvement:
Don’t:
Mistakes to avoid in the rush to improve:
Mistake 1: Gaming over quality
Stuffing keywords, manufacturing FAQs, thin content with schema = short-term at best, harmful at worst.
Mistake 2: Ignoring existing assets
Creating new content when you could optimize existing ranking content = slower results.
Mistake 3: Platform-specific optimization
Over-optimizing for one AI platform = missing others. Optimize for good content fundamentals.
Mistake 4: Stopping after quick wins
Quick wins plateau. Sustained improvement needs ongoing effort.
Mistake 5: Not measuring properly
Can’t show boss improvement without baseline and consistent tracking.
Mistake 6: Expecting linear progress
AI visibility can be volatile. Week-to-week fluctuation is normal. Look at trends.
The sustainable approach:
Quick wins → foundation building → continuous improvement
Not: Quick wins → declare victory → wonder why it stopped working
This thread has given me a clear action plan. Here’s what I’m implementing:
Week 1-2: Technical foundation
Week 3-4: Content structure
Month 2: Content enhancement
Tracking:
Goals:
Key principles:
Thanks everyone for the actionable advice.
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