Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31
No product description has been published for this domain yet. Everything below is measured directly.
Traffic & engagement
Traffic and engagement were not measured for this domain. The ranking positions below were.
Search demand
Search economics, brand dependence and ranking depth expose whether demand is portable or tied to the brand.
| # | Keyword | Clicks | Organic | Paid | Share |
|---|---|---|---|---|---|
| 1 | jira | 7.5K | 30 | 7.5K | 8.35% |
| 2 | 리니어 | 2.4K | 2.4K | 0 | 2.69% |
| 3 | leaner | 790 | 790 | 0 | 0.88% |
| 4 | claude code | 650 | 0 | 650 | 0.72% |
| 5 | kanban board | 410 | 0 | 410 | 0.46% |
AI referral visibility
AI referrals are still a minority channel, but they show which assistants and pages are becoming discovery surfaces.
The identifiable AI mix includes ChatGPT, Claude, Cursor, Gemini, Grok, Perplexity, Lovable, Manus, Bolt, while the source groups 7.1% into “Others”.
| # | Page / folder | Traffic | Share |
|---|---|---|---|
| 1 | linear.app | 258.8K | 35.80% |
| 2 | mcp.linear.app/authorize | 223.3K | 30.89% |
| 3 | linear.app/oauth/authorize | 114.7K | 15.86% |
| 4 | other | 51.6K | 7.13% |
| 5 | linear.app/about | 3.7K | 0.51% |
| 6 | linear.app/careers | 3.5K | 0.49% |
| 7 | linear.app/method | 3.5K | 0.48% |
| 8 | linear.app/pricing | 3.2K | 0.44% |
| 9 | linear.app/changelog | 2.9K | 0.41% |
| 10 | linear.app/brand | 2.2K | 0.30% |
| 11 | linear.app/download | 1.9K | 0.27% |
| 12 | linear.app/docs | 1.7K | 0.24% |
| 13 | linear.app/now/behind-the-latest-design-refresh | 1.6K | 0.22% |
| 14 | linear.app/docs/mcp | 1.4K | 0.19% |
| 15 | linear.app/customers | 1.3K | 0.18% |
| 16 | linear.app/features | 1.3K | 0.18% |
| 17 | linear.app/login | 1.2K | 0.17% |
| 18 | linear.app/now/how-we-redesigned-the-linear-ui | 1.2K | 0.17% |
| 19 | linear.app/homepage | 1.2K | 0.16% |
| 20 | linear.app/sandra-ai/team/ENG/active | 1.1K | 0.15% |
| 21 | linear.app/now | 999.3 | 0.14% |
| 22 | linear.app/gfx-labs/issue/OKU-3946/add-success-and-failure-states-for-lp-page | 787 | 0.11% |
| 23 | linear.app/contact | 782 | 0.11% |
| 24 | linear.app/contact/support | 774.1 | 0.11% |
Product profile
Traffic makes more sense when you can connect it to the actual product promise.
“Linear”
No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://linear.app
Observed across 3 discovery sources.
Research questions
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
Linear is a product development system built for the AI era that helps teams plan and build products with high velocity and focus. It simplifies workflow by reducing noise and is designed for workflows shared by humans and agents, such as drafting PRDs and pushing PRs. The platform is purpose-built for modern teams with AI workflows at its core.
Linear is designed for modern product development teams, specifically world-class product teams. It is built for teams and agents that need to plan and build products with a focus on speed and high velocity.
Linear offers a product development system with AI agents and AI workflows at its core. Key features include Triage Intelligence for labeling and prioritizing issues, Coding Sessions for faster app launches, and integration with tools like Slack. It is purpose-built and designed for speed to help teams ship products.
Linear has significant search demand, with a global rank of 5797 and a category rank of 197. People are searching for it using keywords like "jira", the Korean term "리니어", and "leaner", with "jira" having the highest share of clicks. Between May and July 2026, the search traffic grew from approximately 576,112 to 620,078 visits.
Linear has high visibility in AI assistant referrals, receiving a total of 722,819 AI traffic visits. ChatGPT is the largest source, contributing 386,781 visits (53.5% share), followed by Claude with 162,133 visits (22.4%). Traffic from AI assistants is a small but measured share of its overall traffic at 1.6%.
Linear's search traffic has shown growth over the measured period from May to July 2026, increasing from 576,112 to 620,078 monthly visits. Its backlink profile is also growing, with referring domains increasing from 8,010 to 8,280 and total backlinks from 92,907 to 96,691 between August 13 and August 24, 2026.
Linear has a domain authority of 45, which is significantly higher than the median of 22 for products in the Documents & Meetings category. It also has measured AI traffic of 722,819 visits, while the category median for AI traffic visits is 0.0, indicating much higher visibility.
Linear has strong link authority with a domain authority score of 45. Its backlink profile includes 8,280 referring domains and a total of 96,691 backlinks as of August 24, 2026. A large share of its organic search traffic (95%) is branded, indicating strong recognition.
Linear is used as a project management system for product teams, organizing issues, PRDs, and workflows. It is specifically designed for planning and building products, and for making product operations self-driving by turning conversations and customer feedback into actionable issues. The system is used by teams that want to restore momentum and ship with high velocity.
Linear is a product development system for teams and agents, purpose-built for planning and building products in the AI era. It is categorized as a project management tool within the Documents & Meetings sector.
Behind the lock
Worldwide estimates · Data period 2026-05-01 → 2026-07-31 · AI referral period 2026-02-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured