I Rewrote One Sentence on My Landing Page. ChatGPT Started Recommending Me.
Your landing page exists for two audiences now.
The first is human visitors who need to understand what you do and why they should care. The second is AI systems crawling the web, building knowledge graphs, and deciding whether to recommend you.
Most landing pages fail the second audience completely. If your product is already invisible to ChatGPT, your landing page could be part of the problem.
How LLMs Read Landing Pages
When an LLM encounters your landing page, it’s trying to answer:
- What exactly does this product do?
- Who is it for?
- How is it different from alternatives?
- What are the key features?
- What do users say about it?
Marketing-speak makes these questions hard to answer. Specificity makes them easy.
The Landing Page Audit
Before optimizing, audit your current page:
Optimization Principles
1. Lead with Positioning
Your headline should answer “What is this?” clearly. Not cleverly. Clearly.
Before (vague):
“Transform How Your Team Works”
After (specific):
“Project Management for Engineering Teams. Ship Faster with Async Standups.”
LLMs can extract “project management for engineering teams” and match it to queries. They can’t do anything useful with “transform how your team works.”
2. State Your Use Case Explicitly
Somewhere above the fold, explicitly state who the product is for.
Example:
“Built for: Remote engineering teams of 10-50 people who need async communication without endless meetings.”
This explicit statement creates a matchable pattern. When someone asks ChatGPT for “async tools for remote engineering teams,” this page has a better chance of being relevant.
3. List Features Clearly
Feature lists should be scannable and specific.
Before:
- Powerful reporting
- Team collaboration
- Seamless integrations
After:
- Real-time dashboards with Slack alerts
- Async standups that replace daily meetings
- Two-click integration with GitHub and Jira
Specific features can be matched to specific queries. Generic features cannot.
4. Include Quotable Statements
LLMs cite text that’s clear and self-contained. Write sentences that could be quoted in an AI response.
Quotable:
“The only project management tool built specifically for async engineering teams.”
Not quotable:
“We’re passionate about helping teams collaborate more effectively through innovative solutions.”
The first can be directly cited. The second says nothing citable. For a deeper dive into writing content that LLMs can extract and recommend, see our guide on creating AI-friendly content.
5. Use Semantic HTML
Structure matters for AI comprehension:
- Use
<h1>for product name/main value prop - Use
<h2>for major sections (Features, Use Cases, Pricing) - Use
<ul>for feature lists - Use
<blockquote>for testimonials
This structure helps LLMs understand content hierarchy.
6. Add Schema Markup
Add schema.org markup for:
- Product/SoftwareApplication (name, description, category)
- Organization (company info)
- Reviews/Testimonials (with ratings)
- FAQ (common questions)
LLMs trained on web data recognize and weight schema-marked content.
What to Avoid
Marketing Superlatives
“Best-in-class,” “world-leading,” “revolutionary” add nothing. LLMs ignore superlatives without evidence. Humans should too.
Vague Benefits
“Save time,” “improve efficiency,” “boost productivity” are meaningless without specifics. How much time? On what tasks?
Hidden Information
Don’t hide key information behind modals, tabs, or expandable sections. LLMs may not see collapsed content. Critical positioning should be visible by default.
Inconsistent Messaging
If your landing page says one thing and your About page says another, LLMs get confused. Consistent messaging across all pages reinforces your positioning.
Balancing LLM and Human Optimization
The good news: LLM-friendly pages are often better for humans too.
Clear positioning helps visitors self-select. Specific features help buyers evaluate. Quotable statements become memorable taglines. This alignment is exactly why GEO and SEO are complementary strategies, not competing ones.
The only tension is creative marketing copy. Clever wordplay that works for humans may confuse LLMs. When in doubt, prioritize clarity over cleverness.
Testing Your Optimization
After making changes:
-
Test with ChatGPT/Claude: Ask them to describe your product based on your URL. Is the response accurate?
-
Check Google’s cache: Google caches pages similarly to how LLMs see them. Ensure important content appears.
-
Monitor recommendations: Over time, track whether you appear more frequently in AI responses for relevant queries.
- LLMs extract structured information and specific claims from landing pages
- Clear positioning statements enable AI to match your product to queries
- Specific features beat vague benefits for LLM comprehension
- Write quotable sentences that can be directly cited in AI responses
- Use semantic HTML and schema markup for structure
- Avoid marketing superlatives and vague language
- Test optimization by asking LLMs to describe your product
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