See what Kenvada GEO actually produces
Kenvada 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 Kenvada 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.
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: FAQPage JSON-LD describes the Q&A pairs already visible on these pages as machine-readable structured data.
Recommended action: Generate and deploy FAQPage JSON-LD for all 12 pages.
Example: Generated fix code
For technical issues, Kenvada 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:
# === Kenvada 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 detected in each section 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: Resolution Workbook row
Kenvada GEO exports every resolution as a workbook (.xlsx) you can hand to your team. Each row includes what the implementer needs to deploy the fix.
12 blog pages are missing FAQPage JSON-LD structured data. Kenvada GEO has generated valid schema for each page.
- Download generated JSON-LD files from Kenvada GEO 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
Kenvada 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. Kenvada 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.