See what VELRA GEO actually produces
VELRA GEO generates outputs your team can review, assign, and implement. This page shows example output formats so you can understand what happens after a scan.
All examples below use illustrative data. Actual results vary by website.
Example: Issue summary card
Every issue detected by VELRA GEO is presented as an actionable card with severity, affected pages, and a clear fix path.
Issue: robots.txt blocks GPTBot and ClaudeBot
Affected pages: Entire site
Why it matters:Two major AI crawlers (OpenAI's GPTBot and Anthropic's ClaudeBot) are blocked from accessing your site. These bots power ChatGPT and Claude — blocking them means your content cannot appear in their responses.
Recommended action: Deploy updated robots.txt that allows all 14 AI crawlers.
Issue: 12 pages missing FAQ structured data
Affected pages: /blog/silk-vs-satin, /blog/mulberry-silk-benefits, /faq, /collections/silk-pajamas, +8 more
Why it matters:FAQ schema helps AI engines extract Q&A pairs directly from your content. Pages with FAQ schema are more likely to be used as source material.
Recommended action: Generate and deploy FAQPage JSON-LD for all 12 pages.
Example: Generated fix code
For technical issues, VELRA GEO generates deployable code — not just recommendations. Here are examples of actual output formats.
robots.txt Patch (Module A1)
Three-panel view: Original → Patch → Merged. Below is the merged output:
# === VELRA GEO — AI Bot Access Patch ===
# Generated for: lanisilk.com
# Date: 2026-04-02
# Allow AI crawlers
User-agent: GPTBot
Allow: /
User-agent: ClaudeBot
Allow: /
User-agent: PerplexityBot
Allow: /
User-agent: Google-Extended
Allow: /
User-agent: ChatGPT-User
Allow: /
User-agent: Applebot-Extended
Allow: /
User-agent: anthropic-ai
Allow: /
User-agent: cohere-ai
Allow: /
User-agent: OAI-SearchBot
Allow: /
User-agent: CCBot
Allow: /
User-agent: Claude-Web
Allow: /
User-agent: Bytespider
Allow: /
User-agent: YouBot
Allow: /
User-agent: FacebookBot
Allow: /
# Existing rules preserved below
User-agent: *
Allow: /
Sitemap: https://lanisilk.com/sitemap.xmlDeploy: Download this file → Upload to your server root directory, replacing your existing robots.txt.
FAQ Schema (Module S1)
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is the difference between silk and satin pajamas?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Silk is a natural protein fiber produced by silkworms, while satin is a weave pattern that can be made from silk, polyester, or nylon. 100% mulberry silk pajamas are more breathable, hypoallergenic, and durable than satin alternatives."
}
},
{
"@type": "Question",
"name": "How do you wash silk pajamas?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Hand wash in cold water with a gentle detergent, or use a mesh laundry bag on the delicate cycle. Never use bleach or tumble dry. Lay flat to dry away from direct sunlight."
}
}
]
}Deploy: Copy this <script type="application/ld+json"> block → Paste into the <head> section of the relevant page. For Shopify: add to theme.liquid. For WordPress: use a header/footer plugin.
llms.txt (Module A2)
# Lani Silk
> Premium 100% mulberry silk sleepwear and accessories for better sleep and healthier skin.
## Products
- [Silk Pajama Sets](https://lanisilk.com/collections/silk-pajamas): Women's and men's 100% mulberry silk pajama sets in multiple colors.
- [Silk Pillowcases](https://lanisilk.com/collections/silk-pillowcases): Grade 6A mulberry silk pillowcases for hair and skin health.
- [Silk Eye Masks](https://lanisilk.com/collections/silk-eye-masks): Light-blocking silk sleep masks.
## About
- [About Lani Silk](https://lanisilk.com/pages/about): Founded in 2020, specializing in premium mulberry silk products.
- [Silk Care Guide](https://lanisilk.com/blogs/silk-care): How to wash, store, and maintain silk products.
## FAQ
- [FAQ](https://lanisilk.com/faq): Common questions about silk grades, sizing, shipping, and returns.Deploy: Download → Upload to yourdomain.com/llms.txt
Example: Confidence Score analysis (Module C6)
The Confidence Score rates each content section 1-5 for assertiveness. Hedge phrases that make AI engines skip your content are highlighted.
Hedge phrases detected:
- → "Silk might help with skin hydration"
- → "Some experts believe silk is better"
- → "It could possibly reduce hair breakage"
Suggested rewrite:
Before: "Silk might help with skin hydration"
After: "Silk retains moisture and reduces transepidermal water loss by 25% compared to cotton (Journal of Dermatological Science, 2023)"
No hedge phrases detected. Clear, data-backed claims.
Example: Jira / Asana ticket export
VELRA GEO exports fix tickets directly to your project management tools. Each ticket includes everything the assignee needs to implement the fix.
12 blog pages are missing FAQPage JSON-LD structured data. VELRA GEO has generated valid schema for each page.
- Download generated JSON-LD files from VELRA dashboard
- For each page, add the
<script type="application/ld+json">block to the page's <head> section - Validate using Google Rich Results Test
- Deploy to production
faq-schema-silk-vs-satin.jsonfaq-schema-mulberry-benefits.jsonfaq-schema-bundle.zip(all 12 files)
- /blog/silk-vs-satin
- /blog/mulberry-silk-benefits
- /blog/how-to-wash-silk
- ... +9 more
Example: Issue clustering view
VELRA GEO groups repeated issues into implementation clusters so teams can fix patterns, not just individual pages.
Missing answer-first content structure
Missing FAQ schema
Weak entity coverage on product pages
14 AI bots blocked by robots.txt
Example: Before/after progress tracking
After implementing fixes, re-scan to measure improvement. VELRA GEO tracks score changes and issue reduction over time.
| Metric | Before | After | Delta |
|---|---|---|---|
| GEO Score | 38 / 100 | 64 / 100 | +26 ↑ |
| Grade | F | C | +2 levels ↑ |
| Technical SEO | 45 | 82 | +37 ↑ |
| Content Quality | 32 | 58 | +26 ↑ |
| AI Readiness | 18 | 55 | +37 ↑ |
| Trust & Authority | 42 | 52 | +10 ↑ |
| User Experience | 61 | 68 | +7 ↑ |
| Priority issues | 23 | 8 | -15 ↑ |
| Pages affected | 47 | 18 | -29 ↑ |
| AI bots blocked | 11 | 0 | -11 ↑ |
| Schema coverage | 12% | 78% | +66% ↑ |
The goal is to measure implementation progress and issue reduction over time. Visibility or traffic impact should be evaluated alongside broader business metrics — not from GEO Score alone.
What success looks like
Success should not be measured by GEO Score alone. Teams should also evaluate:
- Implementation completion rate — X/Y issues fixed
- Page quality improvement — fewer hedge phrases, more entities, better structure
- Fewer broken AI referral paths — hallucination 404s resolved
- Stronger schema coverage — % of pages with valid JSON-LD
- Better conversion or engagement from relevant traffic
- More consistent search-facing page structure
- Over time: AI citation trends (monitored, not guaranteed)
Want to see outputs for your own site?
Run a scan to see prioritized issues, generated fix code, and implementation opportunities across your pages.