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AI Readiness Report
0out of 100

planetscale.com

Needs Work7 fixable issues

Your site needs optimization for AI search engines. We found 7 fixable issues.

Revenue IndexModerate
62%2.66 / 4.27
AI VisibilityStrong
80%3.41× / 4.27×
Answer ReadinessStrong
75%0.75 / 1.0
Score Breakdown
AI Bot Access
20/20
Content Structure
20/20
Structured Data
6/15
Meta & Technical
12/15
AI Readability
5/10
Image Alt Text
5/5
Sitemap
5/5
Content Freshness
5/10
What If You Improved?
$
Add more schema types
Strengthen content & links
7

fixable issues blocking your AI visibility

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What AI Sees

How AI Reads Your Page

Your visitors see a polished interactive page. AI crawlers skip all of that — they see only raw extracted text.

Human Visitor Sees
  • Navigation & hero imagery
  • Animations & interactions
  • CTAs & styled elements
  • JavaScript-rendered content
AI Crawler Sees
  • Raw HTML text only
  • No scripts, styles, or nav
  • No header or footer
  • ~1469 extractable words
extracted-content.txt1469 words

Get started with PlanetScale Postgres for just $5/month.

Learn more The world’s fastest and most scalable cloud databases PlanetScale brings you the available in the cloud.

Both our Postgres and Vitess databases deliver exceptional speed and reliability, with Vitess adding ultra scalability through horizontal sharding. fastest databases Our blazing fast unlock , bringing data center performance to the cloud.

We offer a range of to cover all of your security and compliance requirements — including bring your own cloud with .

NVMe drives unlimited IOPS deployment options PlanetScale Managed PlanetScale powers at: Tier 0 databases Read case study Read case study Read case study Read blog post Read case study Read case study Read blog post We chose PlanetScale to host our most demanding Vitess and Postgres workloads, doing millions of queries per second on hundreds of terabytes of data. – Sualeh Asif - Chief Product Officer @Anysphere (Cursor) Vitess Postgres Neki allows MySQL databases to — enabling a shared nothing architecture distributing data across thousands of nodes, all routed through a single database connection.

Vitess scale horizontally through explicit sharding Vitess was developed at YouTube by the founders of PlanetScale to scale their main MySQL database to petabytes of data on 70,000 nodes across 20 data centers.

Now maintained and managed by PlanetScale, Vitess powers the databases of some of the web's largest properties: Slack, HubSpot, Blizzard, Etsy, GitHub, Block, Bloomberg, Yelp, and more. ┌────────────────────────────────┐ │░░░░░░░░░░░░░VTGate░░░░░░░░░░░░░│ └────────────────────────────────┘ │ ─ ─ ─ ─ ─ ┴ ─ ─ ─ ─ ┐ │ │ ▼ ▼ ╔═══════════╗ ╔═══════════╗ ║ ║ ║ ║ ║ Primary ║ ║ Primary ║ ║ ║ ║ ║ ╚═══════════╝ ╚═══════════╝ │ │ ─ ─ ┴ ─ ─ ─ ─ ┴ ─ ─ │ │ │ │ ▼ ▼ ▼ ▼ ┌───────┐ ┌───────┐ ┌───────┐ ┌───────┐ │Replica│ │Replica│ │Replica│ │Replica│ └───────┘ └───────┘ └───────┘ └───────┘ ┌──────────────────────────────────┐ │░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░│ │░░░░░░░░░░░░░░VTGate░░░░░░░░░░░░░░│ │░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░│ └──────────────────────────────────┘ │ ┌ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┼ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┐ │ │ │ ▼ ▼ ▼ ╔═══════════╗ ╔═══════════╗ ╔═══════════╗ ║ ║ ║ ║ ║ ║ ║ Primary ║ ║ Primary ║ ║ Primary ║ ║ ║ ║ ║ ║ ║ ╚═══════════╝ ╚═══════════╝ ╚═══════════╝ │ │ │ ─ ─ ┴ ─ ─ ─ ─ ┴ ─ ─ ─ ─ ┴ ─ ─ │ │ │ │ │ │ ▼ ▼ ▼ ▼ ▼ ▼ ┌───────┐ ┌───────┐ ┌───────┐ ┌───────┐ ┌───────┐ ┌───────┐ │Replica│ │Replica│ │Replica│ │Replica│ │Replica│ │Replica│ └───────┘ └───────┘ └───────┘ └───────┘ └───────┘ └───────┘ ┌─────────────────────────────────────────────────────────┐ │░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░│ │░░░░░░░░░░░░░░░░░░░░░░░░░VTGate░░░░░░░░░░░░░░░░░░░░░░░░░░│ │░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░│ └─────────────────────────────────────────────────────────┘ │ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ┼ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ ─ │ │ ▼ ▼ ▼ ╔═══════════════════╗ ╔═══════════════════╗ ╔═══════════════════╗ ║ ║ ║ ║ ║ ║ ║ ║ ║ ║ ║ ║ ║ Primary ║ ║ Primary ║ ║ Primary ║ ║ ║ ║ ║ ║ ║ ║ ║ ║ ║ ║ ║ ╚═══════════════════╝ ╚═══════════════════╝ ╚═══════════════════╝ │ │ │ ┌ ─ ─ ─ ─ ─ ─ ┐ ┌ ─ ─ ─ ─ ─ ─ ┐ ┌ ─ ─ ─ ─ ─ ─ ┐ ▼ ▼ ▼ ▼ ▼ ▼ ┌───────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ ┌───────────┐ │ │ │ │ │ │ │ │ │ │ │ │ │ Replica │ │ Replica │ │ Replica │ │ Replica │ │ Replica │ │ Replica │ │ │ │ │ │ │ │ │ │ │ │ │ └───────────┘ └───────────┘ └───────────┘ └───────────┘ └───────────┘ └───────────┘ Our migration to Vitess is more than just a technological upgrade; it's a strategic move to future-proof our database architecture for the next decade and beyond. – Ryan Sherlock @Intercom starts at $5 per month and gives you a fully managed PostgreSQL cluster built for performance and reliability, offering first-class tooling without sacrificing developer experience.

Available in AWS and GCP.

High availability clusters deliver automatic failover across three availability zones.

PlanetScale Postgres starts at $50 per month for NVMe-backed performance with .

PlanetScale Metal unlimited IOPS PlanetScale Metal is benchmarked as the fastest Postgres in the cloud High availability: 1 primary and 2 replicas across three AZs with automated failover.

Connection pooling with PgBouncer (port ) and buffered failovers to minimize impact. 6432 Branch-per-environment; each branch runs on its own dedicated cluster, priced prorated to the millisecond.

Scale reads with , streamline schema work with , and protect data with . replicas branching automated backups Get started with the or read the .

Postgres quickstart Postgres documentation Neki is our next-generation Postgres sharding architecture inspired by everything we have learned building Vitess: a fresh design from first principles to bring massive scale and reliability to PostgreSQL workloads.

Follow progress on our blog and join the waitlist.

Built for large scale Postgres workloads.

Designed for predictable performance and fault tolerance a

Scripts, styles, navigation, header & footer stripped before extraction.

Content Quality

Content Structure

20/20

AI engines prefer clear heading hierarchies and substantial content.

H1 Tags
1
Target: >= 1
H2 Tags
10
Target: >= 3
Word Count
1469
Target: >= 800
Hierarchy
Correct
Target: H1 before H2

AI Readability

5/10

How easily AI can parse and extract clean answers from your content.

Content Ratio
19%
Target: >40%
Fix: Reduce inline CSS/JS or add more text to improve text-to-HTML ratio.
Page Size
85 KB
Target: <1MB
Words (no JS)
1469
Extractable words

Filler Phrases & Links

AI engines are trained to ignore generic marketing language.

2 phrases found that AI engines commonly disregard.

Best-in-classScalable
Internal Links
78
Pages linked within your site
External Links
16
Outbound citations
Filler Phrases
2
Detected in body text
Crawlability

AI Bot Access

20/20

Blocked bots can't index or cite your content.

GPTBot· ChatGPT
Allowed
ClaudeBot· Claude
Allowed
PerplexityBot· Perplexity
Allowed
Google-Extended· Gemini
Allowed
CCBot· Common Crawl
Allowed

Schema & Structured Data

6/15

JSON-LD schema markup helps AI engines understand who you are.

OrganizationFound
WebSiteMissing
Fix: Add WebSite JSON-LD markup in your page's <head> section.
ArticleMissing
Fix: Add Article JSON-LD markup in your page's <head> section.
FAQPageMissing
Fix: Add FAQPage JSON-LD markup in your page's <head> section.
BreadcrumbListMissing
Fix: Add BreadcrumbList JSON-LD markup in your page's <head> section.
Sitemap
Found
sitemap.xml found
5/5 pts
Image Alt Text
100%
1 of 1 images have alt text
5/5 pts
Technical SEO

Meta & Technical

12/15

Core technical signals that affect how AI engines index and trust your site.

Title
89 chars (30-70)Fail
Fix: Write a title tag between 30-70 characters with primary keywords.
Meta Description
95 chars (50-160)Pass
Open Graph Tags
PresentPass
Canonical URL
PresentPass
HTTPS
SecurePass

Content Freshness

5/10

AI engines prefer recently updated content.

Schema dateModified
Not foundStale
Fix: Update your page content and set a recent last-modified HTTP header.
Copyright year
2026Fresh
Last-Modified header
Not foundStale
Fix: Update your page content and set a recent last-modified HTTP header.
AI Intelligence

AI Content Analysis

Questions AI engines can answer from your content, and content opportunities.

Questions Answered
What is PlanetScale and what does it offer?
How does PlanetScale ensure performance and reliability?
What are the pricing options for PlanetScale services?
What security measures does PlanetScale implement?
What features does PlanetScale provide for database management?
Content Opportunities
How does PlanetScale compare to other cloud database providers?
What are the benefits of using Vitess with PlanetScale?
Can I migrate my existing databases to PlanetScale easily?
What support options are available for PlanetScale users?
How does PlanetScale handle data backups and recovery?
5 answered / 5 opportunities
Simulated AI Citation

What an AI engine would extract and cite from this page.

PlanetScale offers the world’s fastest and most scalable cloud hosting for Vitess and Postgres.
Top Prompts for Your Brand

Questions real users are typing into AI assistants about your type of product or service.

1
What are the best cloud database options available?
2
How can I improve my database performance?
3
What features should I look for in a cloud database?
4
Is there a cost-effective cloud database solution?
5
How do I ensure my database is secure in the cloud?
AI Revenue Potential
AI Visibility
80%Strong
How likely AI engines are to find, understand, and cite your content.
Heading Structure
100%
Clean H1→H2→H3 nesting helps AI parse your page
Structured Data
29%
Schema markup tells AI what your content IS
Content Authority
50%
Depth, external links, and content quality signals
Answer Readiness
75%Strong
Can AI engines easily extract and quote answers from your page?
FAQ schema markup
3+ subheadings (H2)
Open Graph tags
Meta description
Competitive Landscape

Who AI Recommends Instead

When someone asks ChatGPT for your category, these brands appear.

#1 Competitor ACited
#2 Competitor BCited
#3 Competitor CCited
#4 Competitor DCited
#5 Competitor ECited

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