GEO-Lens Optimization Steps: Fix Issues Systematically
Systematic GEO optimization follows a clear process: (1) Start with critical technical issues that block AI parsing, (2) Fix high-impact content structure problems like missing FAQ sections, (3) Add EEAT signals including author credentials and citations, (4) Polish with lower-priority optimizations, (5) Re-audit to verify each fix worked. This tutorial provides step-by-step guidance for addressing every issue type GEO-Lens identifies.
According to Conductor research, systematic optimization approaches outperform scattered fixes by 3x in terms of ranking improvements. The same applies to AI visibility—methodical issue resolution yields better results than random tweaks.
This tutorial builds on the GEO-Lens Tutorials Hub and provides the implementation guidance to turn audit findings into concrete improvements.
Key Takeaways
- ✓ Priority order matters—Critical issues first, polish last
- ✓ One category at a time—Complete related fixes together
- ✓ Re-audit after each fix—Verify the change worked
- ✓ Document what you changed—Track for future reference
- ✓ Score improvements are immediate—AI visibility takes 2-4 weeks
- ✓ Templates prevent recurrence—Fix once, apply everywhere
Issue Priority Framework #
Not all GEO issues are equally important. Use this priority framework to decide what to fix first.
Priority Levels #
| Priority | Issue Types | Impact |
|---|---|---|
| P0: Critical | Missing/broken schema, page not indexable, security issues | Blocks AI parsing entirely |
| P1: High | No FAQ section, poor heading structure, missing citations | Major AI visibility reduction |
| P2: Medium | Missing author info, weak intro, limited internal links | Moderate impact on signals |
| P3: Low | Image optimization, meta refinement, minor structure tweaks | Polish and completion |
Always complete P0 issues before moving to P1, P1 before P2, and so on. Fixing a P3 issue while P0 issues remain is wasted effort—the critical issues block the impact of lesser fixes.
Fixing Technical Issues (P0) #
Technical issues prevent AI systems from properly parsing your content. These are always top priority.
Schema Markup Issues #
Issue: Missing or invalid Article/Product/FAQ schema
Fix steps:
- Identify required schema type for your page (Article, Product, FAQ, etc.)
- Generate schema using JSON-LD format
- Include all required properties for the schema type
- Add to page <head> or use schema injection plugin
- Validate using Schema.org Validator
- Re-audit with GEO-Lens to confirm fix
Indexability Issues #
Issue: Page blocked from indexing or has noindex tag
Fix steps:
- Check robots.txt for blocking rules
- Check page meta tags for noindex
- Verify canonical URL is correct
- Remove blocking elements or fix canonical issues
- Request reindexing via Google Search Console
Fixing Content Structure Issues (P1) #
Content structure issues significantly impact AI's ability to extract and cite information from your pages.
Adding FAQ Sections #
Issue: Missing FAQ section or FAQ schema
Fix steps:
- Identify 4-6 questions your content should answer
- Write concise, complete answers (2-4 sentences each)
- Add FAQ section near end of content (before conclusion)
- Implement FAQPage schema with all Q&A pairs
- Use proper heading structure (H2 for section, H3 for questions)
FAQ Content Sources
Find FAQ questions from: Google's “People Also Ask” boxes, your support tickets, competitor FAQs, Reddit/Quora discussions on your topic, and keyword research tools showing question queries.
Fixing Heading Structure #
Issue: Skipped heading levels, missing H1, or poor hierarchy
Fix steps:
- Audit current heading structure (one H1 only)
- Ensure hierarchy: H1 → H2 → H3 (never skip levels)
- Make headings descriptive and keyword-relevant
- Use questions as headings where appropriate
- Maintain consistent structure across sections
Adding External Citations #
Issue: Fewer than 3 external citations/references
Fix steps:
- Identify claims that benefit from external support
- Find authoritative sources (research, official docs, industry publications)
- Add citations with clear anchor text
- Use rel=“noopener noreferrer” for external links
- Target 4-6 quality citations per article
Fixing EEAT Issues (P2) #
EEAT issues affect how AI systems evaluate your content's trustworthiness and expertise. See our advanced EEAT analysis tutorial for deeper guidance.
Adding Author Information #
Issue: Missing author byline, bio, or credentials
| Element | Where | What to Include |
|---|---|---|
| Byline | Below title | Author name, publish date |
| Author bio | End of article | Photo, credentials, experience, links |
| Person schema | Page head | name, jobTitle, worksFor, sameAs |
| Author page link | From byline/bio | Link to full author archive |
Adding Experience Signals #
Issue: No first-hand experience demonstrated
Fix steps:
- Add first-person language where genuine: “I tested...”, “In my experience...”
- Include specific details: dates, durations, quantities
- Add original photos/screenshots you took
- Describe your testing methodology
- Share real results and outcomes
Verifying Your Fixes #
Every fix should be verified. Don't assume it worked—confirm it.
Verification Process #
- Implement the fix on your page
- Save and preview the updated page
- Re-run GEO-Lens audit on the preview URL
- Check: Issue should no longer appear in results
- Check: Score should have improved
- If issue persists: Review implementation, try again
According to Semrush, 30% of “fixes” don't actually work on first implementation. Verification catches these failures before you move on.
Frequently Asked Questions #
What order should I fix GEO issues in? #
Fix issues in this priority order: (1) Critical technical issues blocking AI parsing (P0), (2) High-impact content structure issues like missing FAQ or poor headings (P1), (3) EEAT signals like author info and credentials (P2), (4) Nice-to-have optimizations (P3). Critical issues have disproportionate impact—fix them first.
How do I know if a fix actually worked? #
Re-run GEO-Lens audit immediately after implementing fixes. The issue should disappear from the audit results and your score should improve. If the issue persists, your fix didn't work—review the implementation, check for typos or structural errors, and try again. Don't move to the next issue until the current one is resolved.
How long does it take to see results from GEO optimization? #
GEO-Lens score improvements are immediate—you see them on re-audit. AI visibility improvements (more citations, better recommendations) take 2-4 weeks as AI systems recrawl and re-evaluate your content. Track both immediate score changes and longer-term AI traffic through analytics.
Should I fix all issues before publishing? #
Fix P0 and P1 issues before publishing—these significantly impact AI visibility. P2 and P3 issues can be addressed post-publish if needed for timeliness. Never publish with P0 issues; rarely publish with P1 issues. Use the workflow integration approach for systematic quality gates.
How do I prevent issues from recurring? #
Create templates that include required elements by default. Update content briefs to specify GEO requirements. Train writers on common issues and how to avoid them. Use quality gates in your workflow. When you fix an issue, consider whether it indicates a template or process problem that should be fixed systemically.
What if I can't fix a technical issue myself? #
Document the issue clearly and escalate to your development team. Provide specific details: what the issue is, where it appears, what the fix should accomplish. For schema issues, you can often use plugins (WordPress) or tag managers (any CMS) to inject schema without developer help.
Conclusion: Methodical Improvement Wins #
GEO optimization is most effective when approached systematically. The priority framework (P0 → P1 → P2 → P3) ensures you spend effort where it matters most. Verification after each fix prevents wasted effort on failed implementations.
Start with your highest-priority page. Run a GEO-Lens audit. Fix P0 issues first, verifying each. Move to P1, then P2, then P3. When the page scores well, move to your next priority page. This systematic approach builds site-wide AI visibility efficiently.
Document patterns you encounter—if the same issue appears on multiple pages, fix it at the template level rather than page-by-page. Use this optimization experience to improve your content creation process so new content launches without the issues you're fixing on old content.
Product Manager at Seenos.ai. Pioneer in AEO research since 2024, exploring the convergence of SEO and GEO (Generative Engine Optimization). Led multiple AI-powered content optimization projects that achieved 300%+ citation increases in ChatGPT and Perplexity.