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Miro Insights
Miro Insights
Visibility13
Vibe50
Businesses/Software/Miro Insights
Miro Insights
AI Visibility & Sentiment

Miro Insights

Miro Insights is an AI-powered customer feedback platform that centralizes and analyzes feedback from multiple sources including CRMs, support tools, and call recordings. It helps product teams extract feature requests, prioritize backlogs, and connect customer conversations to product development.

Active Monitoring
cardinalapp.io
SoftwareYC25-26
AI Visibility Score
13/100

Invisible

Sentiment Score
50/100
Score by Priority

How often this business is recommended to users across different types of conversations — from direct product queries to broader open-ended conversations where AI could recommend this company's products and services

core
13
adjacent
14
OverviewLandscapeInsights & ActionsConversationsCitationsBrand Voice

Is this your business?

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Miro Insights today.

Miro Insights is currently ghosting the AI-driven software discovery landscape, failing to appear in 100% of strategic queries directed at startup and enterprise leadership. While the brand maintains high authority during direct name-based 'vibe checks,' it is being systematically excluded from the broader 'Automated Customer Feedback' and 'Product Prioritization' categories where competitors like Jira and Productboard hold dominant mindshare.

Working in your favor

Strong brand-specific recognition on Claude and AI Overviews, indicating that when a user searches for the brand by name, the AI provides an accurate and authoritative profile.

High performance on Gemini for technical, tactical queries, specifically ranking #3 for organizing customer feedback from Slack channels.

Niche resonance with the Technical Product Operations persona, achieving a 33% mention rate compared to 0% for other key buyer personas.

Gaps to close

Total invisibility on ChatGPT and AI Overviews for all category-level and discovery-based queries, ceding the market to Jira and Productboard.

Complete failure to capture 'Automated Customer Feedback' and 'Data-Driven Roadmap Prioritization' intents, which are the primary drivers for this category.

Zero reach among the 'Scaling Startup Head of Product' and 'Enterprise Customer Success Director' personas, the two most critical decision-making segments.

Opportunities

Leverage existing Gemini indexing to expand from technical Slack-related queries into broader automated feedback analysis categories.

Aggressively target the 'Gong automation' workflow space, where Gong and Zapier currently dominate but Miro Insights has a natural integration-based play.

Pivot content strategy to bridge the gap between 'Miro' (whiteboarding) and 'Miro Insights' (data analysis) to ensure AI models categorize the product as a feedback management platform.

Highest-Impact Actions
1

Optimize technical documentation and integration guides for OpenAI's crawler to break into ChatGPT results.

With a 0% mention rate on the world's most-used AI platform, the brand is currently being bypassed by every major B2B SaaS buyer using ChatGPT for vendor shortlisting.

2

Develop and publish persona-specific 'Roadmap Prioritization' frameworks targeting Head of Product keywords.

The brand currently has 0% visibility with product leadership; creating high-authority content around their specific pain points is the fastest path to platform inclusion.

3

Create content specifically mapping Miro Insights' utility to Gong and Slack workflows.

Competitors like Gong (pos 1.7) and Zapier (pos 9.6) are dominating these queries; Miro must claim its space in the automation ecosystem to be recommended as a solution.

Value Proposition

Bring all your customer feedback sources and systems together with AI-powered analysis that automatically extracts feature requests, links conversations to product features, and helps prioritize your backlog.

Overview

Miro Insights is an AI-powered customer feedback platform that centralizes and analyzes feedback from multiple sources including CRMs, support tools, and call recordings. It helps product teams extract feature requests, prioritize backlogs, and connect customer conversations to product development.

Mission

Connecting discovery and execution together by bringing all customer feedback sources and systems into one intelligent platform.

Products & Services
AI-powered feedback analysis and extractionCustomer conversation integrations (Gong, Zoom, Slack)CRM integrations (Salesforce, HubSpot, Attio)Product backlog prioritizationTask management integrations (Jira, Linear, Shortcut)
Current State

Visibility Landscape

A high-level view of how Miro Insights performs across AI platforms, broken down by strategic priority level — from core brand queries to growth opportunities.

ChatGPTChatGPT
ClaudeClaude
GeminiGemini
AI OverviewsAI Overviews

Reputation1q

Brand recognition & direct queries

70
97
70
97
“What do you know about Miro Insights? What do they do and what's their reputation?”
Yes
#1
Yes
#1

Core2q

Product/service category queries

0
35
41
0
“best customer feedback management platforms for B2B SaaS in 2026”
No
#11
#8
No
“suggest some tools that use AI to summarize customer sentiment from support tickets and sales calls”
No
No
No
No

Growth Areas3q

Adjacent, aspirational & visionary

0
0
57
0
“how can I automate pulling feature requests out of my gong and zoom recordings?”
No
No
#10
No
“help me prioritize my product backlog using actual customer revenue data from salesforce”
No
No
No
No
“best way to organize a messy slack channel full of customer feedback and feature ideas”
No
No
#3
No
ChatGPT
Claude
Gemini
AI Overviews

“What do you know about Miro Insights? What do they do and what's their reputation?”

ChatGPTYes
Claude#1
GeminiYes
AI Overviews#1

“best customer feedback management platforms for B2B SaaS in 2026”

ChatGPTNo
Claude#11
Gemini#8
AI OverviewsNo

“suggest some tools that use AI to summarize customer sentiment from support tickets and sales calls”

ChatGPTNo
ClaudeNo
GeminiNo
AI OverviewsNo

“how can I automate pulling feature requests out of my gong and zoom recordings?”

ChatGPTNo
ClaudeNo
Gemini#10
AI OverviewsNo

“help me prioritize my product backlog using actual customer revenue data from salesforce”

ChatGPTNo
ClaudeNo
GeminiNo
AI OverviewsNo

“best way to organize a messy slack channel full of customer feedback and feature ideas”

ChatGPTNo
ClaudeNo
Gemini#3
AI OverviewsNo
Competitive Landscape
1
Jira
33 mentions
2
Productboard
32 mentions
3
Zapier
29 mentions
4
Salesforce
25 mentions
5
Slack
24 mentions
6
Gong
21 mentions
7
Gainsight
16 mentions
8
Zoom
15 mentions
9
Notion
14 mentions
10
Airtable
13 mentions
11
Miro Insights
4 mentions
Analysis

Insights & Recommended Actions

What's working, what's not, and specific steps to improve Miro Insights's AI visibility.

Key Findings

Strength

Strong brand-specific recognition on Claude and AI Overviews, indicating that when a user searches for the brand by name, the AI provides an accurate and authoritative profile.

Strength

High performance on Gemini for technical, tactical queries, specifically ranking #3 for organizing customer feedback from Slack channels.

Strength

Niche resonance with the Technical Product Operations persona, achieving a 33% mention rate compared to 0% for other key buyer personas.

Recommended Actions

1

Optimize technical documentation and integration guides for OpenAI's crawler to break into ChatGPT results.

With a 0% mention rate on the world's most-used AI platform, the brand is currently being bypassed by every major B2B SaaS buyer using ChatGPT for vendor shortlisting.

2

Develop and publish persona-specific 'Roadmap Prioritization' frameworks targeting Head of Product keywords.

The brand currently has 0% visibility with product leadership; creating high-authority content around their specific pain points is the fastest path to platform inclusion.

3

Create content specifically mapping Miro Insights' utility to Gong and Slack workflows.

Competitors like Gong (pos 1.7) and Zapier (pos 9.6) are dominating these queries; Miro must claim its space in the automation ecosystem to be recommended as a solution.

Programmatic Testing

Sample Conversations

We programmatically analyze questions that real customers are asking to AI agents and chatbots, extract brand mentions and sentiment, analyze every response, and synthesize the data into an action plan to increase AI visibility.

ChatGPTChatGPTClaudeClaudeGeminiGeminiAI OverviewsAI Overviews
Automated Customer Feedback Analysis(3 queries)

“how can I automate pulling feature requests out of my gong and zoom recordings?”

0/4 platforms mentioned

Adjacent
ChatGPTChatGPT
1.Gong
2.Zoom
3.Jira
4.GitHub
5.Trello

+30 more

ClaudeClaude
1.Gong
2.Gong Insights
3.Zapier
4.Make
5.Airtable

+5 more

GeminiGemini
1.Gong
2.Zoom
3.Productboard
4.Cycle
5.Dovetail

+19 more

AI OverviewsAI Overviews
1.Gong
2.Zoom
3.Salesforce
4.HubSpot
5.Productboard

+11 more

“best way to organize a messy slack channel full of customer feedback and feature ideas”

0/4 platforms mentioned

Adjacent
The Scaling Startup Head of Product · Head of Product
ChatGPTChatGPT
1.Jira
2.Shortcut
3.Slack
4.Jira Cloud
5.Notion

+11 more

ClaudeClaude
1.Productboard
2.Notion
3.Zapier
4.Make
5.Airtable

+2 more

GeminiGemini
1.Jira
2.Productboard
3.Slack
4.Enterpret
5.Cycle

+5 more

AI OverviewsAI Overviews
1.Slack
2.Productboard
3.Feature Upvote
4.Question Base
5.Google Sheet

+1 more

“suggest some tools that use AI to summarize customer sentiment from support tickets and sales calls”

0/4 platforms mentioned

Core
ChatGPTChatGPT
1.Gong
2.Slack
3.Salesforce
4.HubSpot
5.Jira

+11 more

ClaudeClaude
1.Gong
2.Slack
3.Salesforce
4.Jira
5.Productboard

+5 more

GeminiGemini
1.Enterpret
2.Zendesk
3.Intercom
4.Gong
5.Chorus

+7 more

AI OverviewsAI Overviews
1.SentiSum
2.Zendesk
3.Freshdesk
4.Intercom
5.Gong

+16 more

Source Intelligence

Citations

The sources AI platforms cite when recommending this brand. Pendium reverse-engineers what's already proven to be catnip to AI agents, then engineers content that fills gaps and helps agents do their job — which means more citations for you.

Extract Jobs-to-Be-Done & Feature Requests from Gong Calls ...

university.clay.com

Web1 ref

AI Data Extractor - Gong

help.gong.io

Web1 ref

Gong Zoom Integration - Quick Connect - Zapier

zapier.com

Web1 ref

Tracking Product Feature Requests - Gong Community

visioneers.gong.io

Web1 ref

ProductSense - Gong Collective

collective.gong.io

Web1 ref

Set up the Zoom integration - Gong

help.gong.io

Web1 ref

Product insights - Gong

help.gong.io

Web1 ref

My Gong Feature Requests - HEY World

world.hey.com

Web1 ref

Send a feature request or support ticket directly from a call - Gong

help.gong.io

Web1 ref

Analyze Gong Transcripts for Product Insights With Aha ...

aha.io

Web1 ref

Integrate with Gong - Productboard Support

support.productboard.com

Web1 ref

Zoom Call Recording | Gong

gong.io

Web1 ref

AI Feature Request Extractor from Sales Calls - Free Tool

claap.io

Web1 ref

How to Prioritize Product Backlog: Complete Guide (2026)

parallelhq.com

Web1 ref

How To Use Data-Driven Prioritization in Product Management

dovetail.com

Web1 ref
Brand Identity

Brand Voice & Style

How AI perceives Miro Insights's communication style and personality

Miro Insights communicates with a confident yet approachable tone that balances technical sophistication with accessibility. The brand voice is enthusiastic about product innovation, using casual language and occasional humor while maintaining professionalism. They speak directly to product teams as peers, using conversational phrases and emojis in changelogs while keeping messaging clear and benefit-focused. The voice conveys expertise in product management without being condescending.

Core Tone Traits

Confident & Knowledgeable

Speaks with authority on product management and AI capabilities

Approachable & Conversational

Uses casual language, emojis, and humor to connect with users

Action-Oriented & Practical

Focuses on tangible benefits and quick time-to-value

Innovative & Forward-Thinking

Emphasizes AI capabilities and continuous improvement

Visual Identity

Primary

#5C4EE5

Secondary

#FFFFFF

Accent

#E8E5FF

Background

#FFFFFF

Foreground

#111111

Backing

Investors

Y
Y Combinator

Engineer content that makes AI agents recommend you

Pendium analyzes how AI platforms perceive your brand, reverse-engineers what they already cite, and continuously publishes content designed to fill gaps and earn more mentions — on autopilot, with you in the loop.

Data generated by Pendium.ai AI visibility scanning. Last scanned February 27, 2026.

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Frequently asked questions

Don't see your question? Book a demo and we'll walk you through it.

Miro Insights is an AI-powered customer feedback platform that centralizes and analyzes feedback from multiple sources including CRMs, support tools, and call recordings. It helps product teams extract feature requests, prioritize backlogs, and connect customer conversations to product development.

Bring all your customer feedback sources and systems together with AI-powered analysis that automatically extracts feature requests, links conversations to product features, and helps prioritize your backlog.

AI Visibility Score

Miro Insights has an AI visibility score of 9/100, rated as invisible. This score reflects how often and how prominently Miro Insights appears in responses from AI assistants like ChatGPT, Claude, and Gemini.

AI Perception Summary

Miro Insights is currently ghosting the AI-driven software discovery landscape, failing to appear in 100% of strategic queries directed at startup and enterprise leadership. While the brand maintains high authority during direct name-based 'vibe checks,' it is being systematically excluded from the broader 'Automated Customer Feedback' and 'Product Prioritization' categories where competitors like Jira and Productboard hold dominant mindshare.

Strengths

  • Strong brand-specific recognition on Claude and AI Overviews, indicating that when a user searches for the brand by name, the AI provides an accurate and authoritative profile.
  • High performance on Gemini for technical, tactical queries, specifically ranking #3 for organizing customer feedback from Slack channels.
  • Niche resonance with the Technical Product Operations persona, achieving a 33% mention rate compared to 0% for other key buyer personas.

Visibility Gaps

  • Total invisibility on ChatGPT and AI Overviews for all category-level and discovery-based queries, ceding the market to Jira and Productboard.
  • Complete failure to capture 'Automated Customer Feedback' and 'Data-Driven Roadmap Prioritization' intents, which are the primary drivers for this category.
  • Zero reach among the 'Scaling Startup Head of Product' and 'Enterprise Customer Success Director' personas, the two most critical decision-making segments.

Competitors in AI Recommendations

  • Jira: 33 mentions
  • Productboard: 32 mentions
  • Zapier: 29 mentions
  • Salesforce: 25 mentions
  • Slack: 24 mentions
  • Gong: 21 mentions
  • Gainsight: 16 mentions
  • Zoom: 15 mentions
  • Notion: 14 mentions
  • Airtable: 13 mentions
  • Dovetail: 11 mentions
  • Canny: 11 mentions
  • Make: 10 mentions
  • HubSpot: 8 mentions
  • Aha!: 8 mentions

Categories: Software

Tags: YC25-26