Description
EkLine is a platform built around the idea that B2B software buyers now ask an AI assistant which product to use, then ask a coding assistant to build with it, so a company's real storefront is whatever those assistants say about it. EkLine measures and improves that visibility rather than treating it as unmeasurable.
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The platform runs the same buyer question repeatedly across models such as ChatGPT, Claude, Perplexity, and Gemini, and produces a visibility score showing not just whether a company is mentioned, but whether it is actively recommended. When it finds a gap, for example a page that never states which frameworks a product supports, it identifies the specific pages responsible and suggests concrete fixes.
Beyond diagnosis, EkLine drafts the actual fix. When a change ships in the product's codebase, it can read the change, find the pages it affects, including docs, help center articles, changelog entries, release notes, and blog posts, and redraft them using a company's existing style guide and terminology, submitting the result as a pull request for a human to approve rather than publishing directly. It integrates with common documentation platforms, including Mintlify, GitBook, ReadMe, Docusaurus, Notion, Confluence, and plain Markdown in Git, and with GitHub, GitLab, VS Code, Google Docs, and Slack.
EkLine states it runs in an isolated, sandboxed environment per customer with scoped credentials, is SOC 2 compliant, and does not train on customer data. The company publishes case studies, including P0 Security reporting more than 150 engineering hours reclaimed in six months and 15 integration guides shipped, and Socure reporting ten times more documentation pull requests than its previous monthly average.
EkLine offers a free Starter tier, priced at 0 dollars plus 20 dollars in free usage credit, for one public repository; a Pro plan at 50 dollars a month plus usage-based token costs, covering unlimited repositories, custom AI automations, and an hour of technical writer support per week, with a 30-day free trial; and a custom Enterprise tier adding zero-day data retention, the option to bring your own LLM, and priority support with service-level agreements.
- CategoryAI SEO Tools
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsWeb
EkLine's Core Features
Visibility scoring across ChatGPT, Claude, Perplexity, and Gemini for a given buyer question
Identifies the specific pages responsible for a poor or missing AI recommendation
Reads shipped code changes and finds the documentation pages they affect
Drafts fixes across docs, help center, changelog, release notes, and blog content
Applies a company's existing style guide and terminology automatically
Delivers every change as a pull request for human review, not an automatic publish
Integrates with Mintlify, GitBook, ReadMe, Docusaurus, Notion, Confluence, and Git-based Markdown
Sandboxed, SOC 2-compliant execution with scoped credentials per customer
How to use EkLine?
Connect your docs: Link EkLine to your Git-based docs, help center, or CMS.
Set your style guide: Define terminology and style rules for EkLine to follow.
Let EkLine monitor: It tracks how AI assistants answer buyer questions about you.
Review suggested fixes: EkLine flags gaps and drafts updates as pull requests.
Approve and merge: Your team reviews and merges the changes into your docs.
Recheck visibility: Rerun the scorecard to confirm the fix improved recommendations.
EkLine's Use Cases
- AI answer-engine visibility
- Docs updates after a release
- Help center and marketing alignment
