"You know the drill. Chrome updates, your idx_aaname breaks. Someone touches the DOM, your anchor element vanishes. We got tired of it too."
CTAs
Keep them casual:
"Book 15 min" (not "Schedule Your Personalized Demo Today")
"Or check the code" (not "Explore Our Open Source Repository")
"See how we handle it" (not "Discover How Our Platform Transforms Your Workflows")
File Locations
Landing pages: app/for/[segment]/
Shared components: Use existing components from components/
Lead capture: Use LeadCaptureModal from components/landing/lead-capture-modal
Quick Start
When user provides a LinkedIn URL:
Visit the profile and extract role, experience, skills
Identify their likely pain points based on tools they've used
Create segment name from their role (e.g., "uipath-certified", "rpa-consultants")
Generate page.tsx and client.tsx in app/for/[segment]/
Run dev server and preview in browser
Iterate based on feedback
SEO & AI Search Optimization (AEO)
AI systems (ChatGPT, Perplexity, Claude, Google AI Overviews) now extract and cite content. Traditional SEO focused on ranking in Google's 10 blue links. Now you're also optimizing for:
AI Overviews (Google's AI-generated summaries)
ChatGPT/Bing Chat responses
Perplexity, Claude, Gemini and other AI assistants
Traditional search (still matters, but shrinking share of clicks)
Key Concepts
1. Answer Engine Optimization (AEO)
AI systems extract and synthesize answers. Your content needs to be:
Directly answerable - Clear, concise statements that AI can quote
Well-structured - Headers, lists, tables that parse cleanly
Link farms/PBNs (less weight in AI training data curation)
Click-bait titles (AI evaluates content quality, not CTR)
Rising:
Topical authority - Deep coverage of your niche
Brand mentions - Even without links, mentioned brands get cited
Community presence - Reddit, forums, discussions influence AI
Multi-format content - Video transcripts, podcasts feed AI training
Quick Wins
Add FAQ sections with natural questions
Update publish dates and content regularly
Create comparison tables for your category
Write definitive "What is X" explainers
Get mentioned in Reddit/forum discussions
Claim and optimize your knowledge panel
Use structured data aggressively
Key HTML Tags Reference
Tag/Attribute
Purpose
<article>
Semantic content wrapper
<time datetime="">
Machine-readable dates
<h1> - <h3>
Clear hierarchy (one H1)
<ul>, <ol>
Lists AI can parse
<table>
Comparisons, data
itemscope/itemprop
Inline microdata
application/ld+json
Structured data blocks
Minimum Viable Implementation
Every ABM landing page MUST have:
One JSON-LD block per page (Article or FAQPage)
Semantic HTML (<article>, <section>, <header>, <time>)
Clear H1 → H2 → H3 hierarchy
Visible "Updated: [date]" near title
TL;DR or Key Takeaways at top
FAQ Schema Template
Add questions based on their pain points:
{"@type":"Question","name":"How does Mediar handle selector maintenance?","acceptedAnswer":{"@type":"Answer","text":"Mediar uses AI to locate UI elements by their visual appearance and context, not brittle selectors. When Chrome updates or the DOM changes, the AI adapts automatically."}}