AI search visibility report · 2026-10-23
How AI assistants see graphcore.ai
graphcore.ai has an AI visibility score of 44/100. The site passed 12 of 34 tests. Its strongest areas are Technical Accessibility and Citation & Source Quality. The areas to improve are Content Freshness and Schema.org Markup.
How ChatGPT, Claude and Perplexity read graphcore.ai
Readability30/100
Result: weak. 0 of 4 tests passed.
Sentences are extremely long and complex, making the content difficult for both humans and LLMs to parse efficiently.
Schema.org Markup0/100
Result: weak. 0 of 5 tests passed.
The site completely lacks JSON-LD schema markup, which is a critical failure for LLM optimization.
Authority & Trust Signals40/100
Result: weak. 1 of 5 tests passed.
Trust pages are present, but the site lacks structured author credentials and clear publication history.
Citation & Source Quality74/100
Result: average. 3 of 4 tests passed.
Inline citations are present, but links do not point to high-authority external domains like .gov or .edu.
Content Freshness0/100
Result: weak. 0 of 4 tests passed.
Visible dates exist in text, but lack machine-readable signals or schema, resulting in zero scores for automated detection.
Content Structure72/100
Result: average. 3 of 4 tests passed.
Good use of semantic HTML tags, but the heading hierarchy is broken and paragraph structure is poor.
Entity Definition51/100
Result: weak. 1 of 4 tests passed.
The About page is present, but the lack of Organization and Person schema hinders entity clarity.
Technical Accessibility90/100
Result: strong. 4 of 4 tests passed.
Excellent crawler access and social meta tags, though there is a partial dependency on JavaScript.
How graphcore.ai can improve its AI visibility
- Implement JSON-LD Schema Markup (high priority)
- Establish Author Entities (high priority)
- Repair Heading Hierarchy (medium priority)
- Improve Content Readability (medium priority)
- Expose Publication Dates to Crawlers (medium priority)
How graphcore.ai compares to its competitors
- NVIDIA (nvidia.com) — score 50/100
- Cerebras Systems (cerebras.net) — score 50/100
- Groq (groq.com) — score 74/100
- SambaNova Systems (samba-nova.ai)
- Intel (intel.com) — score 75/100