Mention Fabric

Mention + Fabric Integrations, Built by an AI Agent

Put Mention + Fabric to work with AI and enterprise-grade automation

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Learn more about Mention integrations or talk to a human

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See the kind of workflows teams build with Mention and Fabric below — describe the exact one you want above and the Agent builds it on demand.

Mention + Fabric Save new web and social media mentions captured in Mention into Fabric. See details
Queue social posts from approved content docs When a record status changes to approved in Fabric, automatically schedule a new post in Mention. See details
Log social comments into a feedback workspace When a new mention or comment is received in Mention, append the text to a customer feedback page in Fabric. See details

Browse the full workflow library →

Looking to achieve something else with Mention and Fabric?

Just describe what you need — the Agent researches both APIs and builds the real automation on demand.

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Triggers & actions for Mention and Fabric

Everything Mention and Fabric can do inside a workflow — the triggers that start one and the actions that run when it fires.

Mention Explore Mention →

A media monitoring and web listening tool that tracks online brand mentions, social sentiment, and customer reviews.

Triggers
New Alert

Triggers when a new alert is added.

New Mention

Triggers when a new mention comes through for the specified alert.

New Source

A listing of mention sources available

Actions
Create Alert

Creates a new alert

Fabric Explore Fabric →

Fabric is a workspace application that organizes notes, files, links, and bookmarks into a unified collaborative platform.

Triggers
New Item

Triggers when a new item is saved.

Actions
Create Bookmark

Saves a Bookmark on Fabric.

Create Note

Creates a Note on Fabric.

Upload File

Uploads a File to Fabric.

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Customer Stories

See how leading technology firms are scaling their operations

Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
H
Huynh H
Developer, Multiplier
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
J
Jayesh
Co-Founder, Scrut
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
P
Poorvi
Product Manager, Onsurity
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
A
Aditya
Product Lead, RazorpayXPayroll
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
R
Rohit Singh
GM, Payoneer Workforce Management

#1 in Ease of Integrations

4.9 out of 5 stars

4.9 out of 5 stars on G2

G2 Leader, Spring 2026G2 Fastest Implementation, Spring 2026G2 High Performer, Spring 2026G2 Best Est. ROI, Spring 2026
FAQ

Common questions about Mention + Fabric

Is there a pre-built Mention + Fabric automation?

Not yet, but Knit's Integrations Agent can build one — describe what you want and it researches Mention and Fabric's public API docs (or your own uploaded docs) and builds a working automation.

Does this require a pre-built Mention or Fabric connector?

No. The Agent works whether or not Mention or Fabric already has a pre-built connector in Knit's catalog — it researches the real API surface either way.

How long does it take to build?

Minutes to build a first working version, not weeks — you test it against real data before it goes anywhere near production.

How does integrating Fabric with Mention streamline social media management?

Content teams can draft and review posts in Fabric, automatically pushing approved updates directly to Mention without leaving their document workspace.

Can social media performance errors be captured in Fabric?

Yes, if a scheduled post fails to publish in Mention, an entry can automatically be created in Fabric so team members can resolve errors promptly.

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