AI readiness report · Product development SaaS
Linear AI visibility report
Real scan of linear.app · · one page, the homepage
Linear's homepage scores 71 out of 100 (grade C) for AI readiness. Its strongest area is crawl access (100), and the biggest drag is token economics (0). The single most valuable fix, "cut the token cost of reading this page", is worth about 10 points on its own.
Hidden from AI crawlers
0%
of the text people see only appears after JavaScript runs
Reading cost
139×
~321,766 tokens of HTML for ~2,313 tokens of content
Structured data
0
valid schema.org entities in the raw HTML
AI crawlers blocked
0 of 11
named AI agents shut out by robots.txt for this page
Six pillars
Where the points go
Each pillar is scored 0 to 100 by fixed rules and weighted into the total. How scoring works
What we found
What we would change first
- CriticalToken economics-85 pts
Reading this page costs an agent ~321,766 tokens for ~2,313 tokens of actual content, a ~139× cost multiplier (99% markup, scripts, and boilerplate).
~321,766 raw tokens vs ~2,313 content tokens, ~139× cost multiplier
- CriticalVisibility-20 pts
5 heading(s) shown to humans are missing from the raw HTML, they exist only after JavaScript rendering, so crawlers that skip rendering are likely to miss them.
The product development system for teams and agentsThe product developmentsyste… | Intakeand integrations | Planningand monitoring | AI andautomations | Build, review,and ship
- CriticalToken economics-20 pts
~321,766 tokens exceeds many agents' per-page budget outright, the page risks being truncated or skipped.
~321,766 tokens in the raw HTML (threshold: 100,000)
- CriticalMachine facts
No valid structured data (JSON-LD or microdata) in the raw HTML. Agents must guess every fact from prose.
0 JSON-LD entit(ies) parsed (0 valid), 0 malformed block(s), 0 microdata entit(ies)
Fix plan
The fixes worth the most points
Ranked by how much each one alone would lift the score, as computed by the engine for this page.
- 01Cut the token cost of reading this pagedev required+10
- 02Add structured data (JSON-LD) so agents get facts, not guesses1 hr+9
- 03Serve your full content in the initial HTMLdev required+6
- 04Label your form fields so agents can fill them1 hr+2
- 05Give agents concrete facts to cite1 hr+2
How this report was made
One automated scan of https://linear.app/ on 1 October 2026, with the same engine (v0.3.0) as the free Siteiz scan. We fetched the page twice: as raw HTML, the way AI crawlers receive it, and rendered in a real browser, the way people see it. Scores are deterministic rules, not an AI opinion. Sites change, so this is a snapshot of that day. Methodology
How does your site compare?
Run the same scan on your own page. Free, about a minute, with your score and the fixes worth the most points.