Feature
Smart Copy Tailoring
Pull the exact ad headline onto the landing page to improve relevance and ROAS. Adapt copy automatically by company, industry, or campaign source, powered by built-in enrichment, then monitor what works.

Teams running Tailor
What it looks like
Same page, different message
Ad match
Google Ad headline β Landing page headline
A visitor clicks "Boost nonprofit donations with Notion" and lands on a page that says exactly that. Not a generic homepage. The promise from the ad is kept on the page.
Company enrichment
IP detected as healthcare company β Healthcare copy
A visitor from a hospital system sees "HIPAA-ready workflows for care teams." A visitor from a consulting firm sees "How top consultancies use Notion." Same page, different message.
What it adapts
- Audience-specific messaging
- Automatically adapt your headlines and descriptions based on visitor demographics, interests, and behavior patterns.
- Multi-language support
- Instantly translate and localize your content for global audiences while maintaining brand voice and messaging consistency.
- Campaign source optimization
- Match page copy to the ad that brought the visitor. Google Ad copy becomes the landing page headline. LinkedIn outreach becomes the hero message.
How it works
- 1
Analyze visitor
AI understands audience and existing page copy
- 2
Generate copy
Creates tailored headlines and copy instantly
- 3
Review and refine
Review and improve AI suggestions in minutes
- 4
A/B test and optimize
Automatically test variations for performance
βIt really comes down to... do we like the messaging the AI proposes, and do we blindly trust it?β
Our answer: you feed Tailor your approved language and brand voice, agents draft inside those guardrails, and nothing ships without your approval.
See it on your pages
Match every ad to a page that keeps its promise. One tag, your existing site, and a first test the same day.
Book a demoPDF Expert raised click-through 43% by matching its landing pages to the SEM keyword behind each visit.
Read the PDF Expert case study
