
Linear
Create Linear issues from Finseo visibility tasks with full markdown descriptions, built for engineering teams that ship the technical fixes behind ChatGPT, Perplexity, Claude, and Gemini citations.
Overview
What you get with the Linear integration
Finseo connects to Linear with a personal API key. Every task on the Finseo Tasks page gets an Export to Linear action: pick the target team, optionally an assignee, and Linear receives an issue with the full markdown description including the evidence and recommended steps. Under Tasks, then Automation, rules can turn new tasks into Linear issues automatically, for example every Technical task with high impact goes straight to the engineering team.
Use cases
What you can do with Linear and Finseo
Real ways Linear customers use Finseo to track and grow AI search revenue.
- 01
Technical GEO backlog
Route Technical tasks such as structured data, crawlability for GPTBot and ClaudeBot, rendering, or page speed into the engineering team as ready-to-pick issues.
- 02
Schema and structured data sprints
FAQ, HowTo, Product, and Organization schema tasks land as Linear issues with the affected URLs and the JSON-LD instructions in the description.
- 03
Crawler access fixes
When Finseo detects AI crawlers being blocked or pages not being fetched, the resulting task becomes a Linear issue for the platform team with the evidence attached.
- 04
Impact-gated automation
Create a rule for Technical tasks above a minimum impact. Only issues worth engineering time reach Linear, while smaller items stay in Finseo for triage.
- 05
Product-led content changes
Teams that manage marketing pages in code export Content tasks as Linear issues, so copy and section rewrites go through the normal review and deploy flow.
Workflow examples
What lands in Linear
Finseo turns AI visibility gaps into concrete tasks. Ask for them in the Finseo agent or pick them on the Tasks page, then export to Linear with one click or an automation rule.
You ask Finseo
Create a Linear issue for this task in the Web Platform team
Result
Linear issue with markdown description, evidence, and recommended steps
You ask Finseo
Auto-export all high-impact Technical tasks to Engineering
Result
Automation rule creates a Linear issue for every new matching task
You ask Finseo
Send the Product schema task to Linear and assign it to Jonas
Result
Linear issue with affected URLs and JSON-LD steps, assigned to Jonas
Why it matters
Why Linear customers need AI visibility tracking
Linear is the issue tracker of choice for many product and engineering teams, and much of Generative Engine Optimization (GEO) is engineering work: structured data, crawler access for GPTBot and PerplexityBot, server rendering, internal linking, page speed. Finseo generates those tasks from how ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, and Microsoft Copilot answer the prompts that matter to you. Turning them into Linear issues with full markdown descriptions means engineers get a normal, well-specified issue instead of a vague request from marketing, and AI visibility work fits into existing cycles.
Comparison
Linear alone vs Linear with Finseo
How using Linear on its own compares to pairing it with Finseo for AI visibility and attribution.
| Feature | Linear alone | Linear + Finseo |
|---|---|---|
| Issue creation | Marketing writes a ticket by hand | One click export with markdown description |
| New tasks | Manual triage of the Tasks page | Automation rules by category and impact |
| Assignment | Assigned later in Linear | Linear assignee chosen from Finseo |
| Context for engineers | Vague request | Evidence, affected URLs, and steps |
| Setup | Custom GraphQL scripts | Personal API key, no code |
Issue creation
Linear alone
Marketing writes a ticket by hand
With Finseo
One click export with markdown description
New tasks
Linear alone
Manual triage of the Tasks page
With Finseo
Automation rules by category and impact
Assignment
Linear alone
Assigned later in Linear
With Finseo
Linear assignee chosen from Finseo
Context for engineers
Linear alone
Vague request
With Finseo
Evidence, affected URLs, and steps
Setup
Linear alone
Custom GraphQL scripts
With Finseo
Personal API key, no code
How to connect
How to connect Linear to Finseo
A few steps to wire up your Linear account with Finseo. No code required.
- 01
Create a Linear API key
In Linear, open Settings, then Security and access. Under Personal API keys click New API key, name it, and copy the key that starts with lin_api_.
- 02
Connect in Finseo
Open Integrations, then Linear, then Connect. Paste the key and save.
- 03
Export a task as an issue
On the Tasks page, open any task and choose Export to Linear. Pick the target team and optionally a Linear assignee.
- 04
Create an automation rule
Under Tasks, then Automation, add a rule filtered by category and minimum impact, enable Create in PM tool, then Linear, and pick the team.
- 05
Route by category
Use separate rules per category, for example Technical tasks to the engineering team and Content tasks to the growth team, each with its own default assignee.
FAQ
Frequently asked questions about Linear
Answers to the most common questions about the Linear integration.
It turns AI visibility tasks from the Finseo Tasks page into Linear issues. Each issue carries the full markdown description with the evidence from ChatGPT, Perplexity, or other AI answers and the recommended steps. Export one by one or automatically via automation rules.
With a personal API key created in Linear under Settings, then Security and access, then Personal API keys. The key starts with lin_api_. OAuth tokens from Linear apps are not supported, so make sure to paste a personal key created for your own user.
Any team your Linear user belongs to. Finseo loads the team list from your account when you open the picker. If a team is missing, join it in Linear first, then reopen the picker in Finseo and select it as the target.
Yes. When exporting, you can choose a Linear assignee from your team members. Automation rules also support a default assignee, so new Technical tasks with high impact can go straight to a specific engineer without manual triage. Assignees are loaded from the members of your Linear teams.
A full markdown description with the recommendation, the evidence that triggered it (for example prompts on ChatGPT or Perplexity where a competitor is cited and you are not, or a crawler that cannot fetch the page), and step-by-step instructions to resolve it.
Under Tasks, then Automation, rules run on every newly generated Finseo task. Filter by category (Content, Technical, Authority) and minimum impact, enable Create in PM tool, select Linear and the team, and optionally set a default assignee for the created issues.
No. The integration is one way from Finseo to Linear. Track progress in Linear as usual, while Finseo keeps measuring whether the fix improves your visibility on ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Issues can be re-exported if needed.
Yes. All Finseo integrations, including Linear and the automation rules, are included on every plan with no per-integration fees. You only need a Linear account with permission to create issues in the target team, which the free Linear plan already provides.
Related
Other Finseo integrations to consider
Pair Linear with these popular Finseo integrations to get more from your AI search stack.

Jira
Export Finseo visibility tasks as Jira Cloud issues with fully formatted descriptions, so the teams that own your website ship the fixes that get you cited by ChatGPT, Perplexity, Claude, and Gemini.

ClickUp
Turn Finseo visibility tasks into ClickUp tasks with one click or automation rules, so your team fixes what keeps you out of ChatGPT, Perplexity, Claude, and Gemini answers.
Finseo MCP
Connect AI assistants to your Finseo data through the Model Context Protocol. Ask Claude, ChatGPT, or Cursor how your visibility in ChatGPT, Perplexity, Gemini, and Google AI Overviews changed, which competitors are ahead, and what to fix next.
Connect Linear and dominate AI search
Join hundreds of brands using Finseo to track and improve their visibility in ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews.




