Content
· 5 checks — Internal links, mixed-content guards, Open Graph previews, and structured data rolled into one auditable list.DBrand PresenceActionSite-name consistency, favicon, social image, meta tags, schema, and contact signalsFIX
Brand Presence
Your brand name differs across channels — visitors see inconsistent identity.
D
53/100
Site name appears as
| Page title | <!---->Close Cookie Preferences<!----> | |
| og:site_name | PyTorch | |
| twitter:site | — | |
| Organization.name | — |
Inconsistent — names differ across channels
Brand assets
Favicon
15/15covers multiple sizes + apple-touch-icon
Social share image
14/20og:image set; twitter:image missing
Meta completeness
14/20Organization schema
0/15Contact info discoverable
5/10contact page
Findings
- Brand name differs across channels — users see inconsistent identity
- Add twitter:image — Twitter falls back to og:image only when it's larger than 300×157
- twitter:card missing
- No Organization schema — Google can't render your logo in the knowledge panel
- Only partial contact info discoverable — consider adding a dedicated contact page or mailto/tel link
How consistently your brand appears across channels — shared link previews, structured data, favicon, contact info.
BLinks161 links checked, 158 healthy, 2 brokenREVIEW
Broken Links (2)
| Status | URL | Found in | Error |
|---|---|---|---|
| 404 | https://use.fontawesome.com | <link> | Not Found |
| 403 | https://pytorch.org/xmlrpc.php?rsd | <link> | Forbidden |
Redirects (3)
| URL | Destination | Found in | Hops |
|---|---|---|---|
| https://aws.amazon.com/sagemaker | https://aws.amazon.com/sagemaker | <a> | 0 |
| https://cloud.google.com/ai-platform/dee... | https://cloud.google.com/ai-platform/dee... | <a> | 0 |
| https://docs.microsoft.com/en-us/azure/m... | https://docs.microsoft.com/en-us/azure/m... | <a> | 0 |
CStructured DataActionNo structured data (JSON-LD) found.REVIEW
Adding structured data helps search engines understand your content and can enable rich results.
Without schema.org markup, your pages can't appear as rich results (stars, FAQs, recipes) in search.
Learn more ▾ ▴
Structured data is what unlocks rich snippets — review stars, FAQ accordions, recipe cards, breadcrumbs, etc. — that take up more SERP space and dramatically improve click-through. The schema.org vocabulary is well-documented and JSON-LD is the easiest format.
Source: Google Search Central / schema.org
No structured data found
Structured data (JSON-LD) helps search engines understand your content better. Adding it can improve your search result appearance.
Common types include:
- WebSite — your site identity and search box
- Organization — your company information
- Article — blog posts and news articles
- Product — e-commerce product pages
- BreadcrumbList — navigation paths
A+Mixed ContentNo mixed content detected — all resources use HTTPS.PASS
AOpen GraphOpen Graph tags are well configured for social sharing.PASS
7 charsIdeal length is 25–60 characters for social sharing previews.
25–60 charsog:title very short — may render with awkward whitespace in social cards.
Source: Open Graph Protocol
Without twitter:card, Twitter falls back to Open Graph tags. Adding it gives you more control.
Without twitter:card, Twitter renders posts as plain text — no preview image, no structured layout.
Learn more ▾ ▴
Twitter requires `<meta name="twitter:card" content="summary_large_image">` (or summary) to render share-cards at all. Without it, links appear as raw text and engagement plummets vs cards. Twitter also falls back to og:image if twitter:image isn't set, so configure both.
Source: Twitter Developer Platform
Preview

pytorch.org
PyTorch
PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem.
- twitter:card — Add <meta name="twitter:card" content="summary_large_image">
- twitter:title — falling back from og:title
- twitter:description — falling back from og:description
- twitter:image — falling back from og:image
twitter:card is missing
→ Add <meta name="twitter:card" content="summary_large_image">

PYTORCH.ORG
PyTorch
PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem.
- og:title — PyTorch
- og:description — PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem.
- og:image — https://pytorch.org/wp-content/uploads/2025/01/pytorch_seo.png
- og:type — article
- og:url — https://pytorch.org/
- og:site_name — PyTorch

PyTorch
pytorch.org
- og:title — PyTorch
- og:description — PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem.
- og:image — https://pytorch.org/wp-content/uploads/2025/01/pytorch_seo.png
pytorch.org
PyTorch
PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem.

- og:title — PyTorch
- og:description — PyTorch Foundation is the deep learning community home for the open source PyTorch framework and ecosystem.
- og:image — https://pytorch.org/wp-content/uploads/2025/01/pytorch_seo.png
Social preview quality
Averaged across Twitter/X, Facebook, LinkedIn, and Slack.
| Field | Twitter/X | Slack | ||
|---|---|---|---|---|
| og:title | ||||
| og:description | ||||
| og:image | ||||
| og:type | ||||
| og:url | ||||
| og:site_name | ||||
| twitter:card | — | — | — | |
| twitter:title | ⚠ | — | — | — |
| twitter:description | ⚠ | — | — | — |
| twitter:image | ⚠ | — | — | — |