Bulk Page Scanner – Scan entire website in minutes
Analyze hundreds of pages simultaneously and find hidden optimization potential
The Problem
Manually checking hundreds or thousands of pages for AEO optimization is impossible. You would need weeks to analyze each individual page, calculate scores, and identify improvement potential.
Existing SEO tools scan websites but completely ignore AEO-specific factors like Schema.org FAQ markup, speakable content, entity relations, and llms.txt compatibility. You get SEO scores that are irrelevant for AI optimization.
Without bulk analysis, critical weaknesses remain undiscovered: outdated pages without schema markup, important landing pages with low AEO scores, or entire categories without AI optimization.
The Solution
The Bulk Page Scanner groups the review of many pages into one overview, so teams do not have to inspect every URL manually.
- Inventory: surface structural weaknesses across the site
- Prioritization: look at the most important pages first
- Filtering: sort by type, status, or score
- Workflow context: move findings into the next editorial or technical step
- Overview: handle larger page sets more consistently than with manual one-by-one reviews
The purpose is clarity and triage, not a promise of perfect automation.
See it in action
Source
Direct screenshot from the local WordPress test installation with AEO Pro active.
Context
Where only PRO lock states are currently visible, the module is presented as an existing expansion area rather than as a freely usable interface.
Benefits
Faster overview
Larger page sets can be reviewed as one working set instead of being documented page by page.
Uncover hidden problems
Find pages you forgot to optimize. The scanner automatically discovers duplicate content, missing FAQs, and outdated schema types.
Data-driven decisions
The overview helps allocate resources more sensibly to important pages and clear weak spots.
Resource-friendly
The scanner supports editorial and technical review without forcing everything into a manual checklist.
Team collaboration
Weak spots and priorities become easier to discuss and hand over inside a team.
Historical trends
Repeated scans make changes in larger content inventories easier to follow.
Use Cases
Large websites: Complete analysis in record time
An online magazine with 8,000 articles scans the complete database in 45 minutes. The report shows: 2,400 articles have a score <50, 600 are missing FAQ schema. With filtered bulk actions, all articles are optimized in 2 days instead of 3 months.
Agency onboarding: Quickly analyze new clients
An SEO agency uses the bulk scanner for initial analyses of new clients. Within 30 minutes, they have a complete AEO audit report, identify quick wins, and can create a data-based proposal. Onboarding time decreases by 70%.
E-Commerce: Optimize product categories
An online store scans all 5,000 product pages and filters by category. Result: "Electronics" category has an average score of 35, "Fashion" has 78. Resources are specifically focused on electronics optimization.
Monitoring: Automatic weekly quality check
A content team sets up weekly scans. Every Monday they receive a report: "15 new pages published, 8 have a score <60." These are prioritized for post-optimization before they go live.