Unisson

Visibility22

Vibe83

AI Visibility & Sentiment

Unisson

Unisson is a Y Combinator-backed AI company that provides autonomous AI agents for customer-facing teams. Their agents run directly inside products to execute tasks for customers, saving customer success, implementation, sales engineering, and GTM teams thousands of hours by automating complex product work.

Active Monitoring

unisson.ai

Software YC25-26

AI Visibility Score

22/100

Low

Sentiment Score

83/100

AI Perception

Summary

Unisson has achieved a remarkable foothold with strategic decision-makers, yet remains a ghost to the technical teams tasked with actually implementing its software. While the brand dominates specific onboarding automation queries on Claude and Gemini, it is currently locked out of the critical 'AI Agent' category where competitors like Salesforce and Intercom are setting the narrative.

Value Proposition

AI agents that execute tasks directly inside your product for customers, eliminating delays from internal handoffs and enabling any team member to support customers immediately without deep product training.

Overview

Mission

Save customer-facing teams thousands of hours by deploying AI product specialists that execute tasks directly for customers.

Products & Services

Runner - AI agent that executes complex tasks inside productsExplorer - Knowledge base agent that maintains up-to-date product knowledgeRunner API - API to supercharge external agents with product skillsEnterprise security and compliance featuresWorkflow automation in natural language

Agent Breakdown

AI Platforms

How often do different AI platforms reference Unisson?

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Conversation Analysis

Topics

What conversations is Unisson included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Unisson to, and when?

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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.

ChatGPT

Claude

Gemini

AI Overviews

Scaling Customer Operations & Implementation(3 queries)

“how to handle a surge in product implementation requests without hiring more people”

0/4 platforms mentioned

ChatGPT

1.Zendesk

2.Jira Service Management

3.Airtable

4.Google Sheets

5.ReadMe

+35 more

Claude

1.Pendo

2.Appcues

3.Asana

4.Monday

5.Linear

+6 more

Gemini

1.Excel

2.Trello

3.GuideCX

4.Rocketlane

5.Skilljar

+18 more

AI Overviews

1.iJility

2.Epicflow

3.UserVoice

4.Jeff Toister

“best ways to automate technical onboarding for B2B software”

3/4 platforms mentioned

ChatGPT

1.Pendo

2.Appcues

3.Gainsight

4.ChurnZero

5.Ada

22.Unisson

+22 more

Claude

1.Appcues

2.Pendo

3.Ada

4.Unisson

5.Loom

+7 more

Gemini

1.Zendesk

2.Rocketlane

3.Salesforce

4.HubSpot

5.Planhat

7.Unisson

+8 more

AI Overviews

1.HubSpot

2.Salesforce

3.Dock

4.Arrows

5.Rocketlane

+15 more

“how can I let customers perform complex setup tasks inside my product using AI instead of waiting for a support rep”

3/4 platforms mentioned

ChatGPT

1.Zendesk

2.Intercom

3.Ada

4.Unisson

5.Workato

+21 more

Claude

1.Intercom

2.Drift

3.Zendesk

4.Unisson

5.Pendo

+2 more

Gemini

1.Zendesk

2.Intercom

3.Unisson

4.Salesforce

5.Ada

+5 more

AI Overviews

1.Microsoft Copilot Studio

2.n8n

3.EverWorker

4.Chameleon

5.Pendo

+3 more

Next Gen AI Support & Knowledge Management(1 query)

“recommend an AI agent that can actually execute tasks for users in my app, not just answer questions”

0/4 platforms mentioned

ChatGPT

1.LangChain

2.Hugging Face

3.Microsoft Semantic Kernel

4.AutoGen

5.Azure

+10 more

Claude

1.Assistants API

2.LangChain

3.LangGraph

4.Zapier AI Actions

5.Make.com

+3 more

Gemini

1.OpenAI Assistants API

2.MultiOn

3.Expedia

4.CrewAI

5.Skyvern

+3 more

AI Overviews

1.Lindy

2.Pipedream

3.Apify

4.Zapier Central

5.Zapier

+12 more

Enterprise AI Trust & Category Selection(1 query)

“top rated AI agents for customer-facing teams in 2026, who should I be looking at?”

0/4 platforms mentioned

ChatGPT

1.Salesforce

2.Zendesk

3.Intercom

4.Ada

5.LivePerson

+28 more

Claude

1.Intercom

2.Zendesk AI

3.Freshdesk

4.Salesforce Einstein

5.Salesforce

+3 more

Gemini

1.Sierra

2.Decagon

3.Maven AGI

4.Intercom

5.Fin AI

+11 more

AI Overviews

1.Assembled

2.Lindy

3.Salesforce Agentforce

4.Engaige

5.Tidio

+3 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

High-authority visibility among Strategic VPs of Customer Success with a 73% mention rate and strong average position of 5.9

Strength

Exceptional ranking performance on Claude (pos 3.3) and Gemini (pos 3.7) for niche technical onboarding queries

Strength

Strong brand recognition and sentiment in direct 'vibe check' queries across ChatGPT and Claude

Gap

Total lack of visibility for implementation-focused and technical personas, resulting in a 0% mention rate for these roles

Gap

Zero presence in Google AI Overviews across all tested queries, indicating a major discovery gap in search-integrated AI

Gap

Failure to rank for high-intent 'AI Agent' and 'Enterprise AI' category searches where legacy competitors currently dominate

Opportunity

Capture the 'AI Agent' category by optimizing technical content for task-execution keywords to challenge Ada and Intercom

Opportunity

Improve discovery in Google AI Overviews by deploying structured data and authoritative implementation frameworks

Opportunity

Bridge the persona gap by publishing granular, problem-solving documentation that LLMs can surface for Technical Solutions Engineers

Technical Health

Site Health for AI Visibility

How well Unisson's website is optimized for AI agent discovery and comprehension.

95/100

21 passed 2 warnings

Audited 2/27/2026

Crawlability100

Can AI bots find your pages?

Technical100

SSL, mobile, doctype basics

On-Page SEO93

Titles, descriptions, headings

Content Quality87

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG100

Open Graph, Twitter cards

AI Readability60

How well AI can parse your content

Warnings

H3 used without H2 — heading levels are skipped

Use headings in order (H1 → H2 → H3). Don't skip levels.

Want a full technical audit with AI-specific recommendations?

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Brand Identity

Brand Voice & Style

How AI perceives Unisson's communication style and personality

Unisson communicates with confident technical authority while remaining accessible and results-focused. The brand voice balances startup energy with enterprise credibility, using clear metrics and benchmarks to substantiate claims. They speak directly to the pain points of customer-facing teams—time wasted on repetitive tasks, scaling challenges, and onboarding delays—while positioning their solution as elegantly simple. The tone is professional but not corporate, innovative but grounded in practical outcomes.

Core Tone Traits

Confident & Results-Driven

Leads with performance metrics and concrete outcomes like 65% speed gains and 30% performance improvements

Technical yet Accessible

Explains complex AI concepts in clear terms without jargon, making enterprise technology approachable

Enterprise-Ready Professional

Emphasizes SOC2 compliance, security, and auditability to build trust with enterprise buyers

Startup Agile & Innovative

Y Combinator backing and founder credibility convey cutting-edge innovation and rapid iteration

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations alongside or instead of Unisson

Salesforce20 mentions

Zapier19 mentions

Intercom19 mentions

Zendesk16 mentions

Appcues16 mentions

Workato15 mentions

Slack15 mentions

Ada13 mentions

Pendo12 mentions

Jira10 mentions

Unisson8 mentions

Source Intelligence

Citations

Sources that AI assistants cite. Getting featured here improves visibility.

How to Accelerate Release Cycles Without Hiring More ...

https://medium.com/@marketing.aspiresoftware/how-to-accelerate-release-cycles-without-hiring-more-engineers-7181ddcf6862

Referenced in 1 query

Review

How do you scale support quality without just hiring ... - Reddit

https://www.reddit.com/r/CustomerSuccess/comments/1nxqt4o/how_do_you_scale_support_quality_without_just/

Referenced in 1 query

Join Discussion

5 Proven Ways to Scale Operations Without Hiring

https://business.udemy.com/blog/5-ways-to-scale-operations-without-hiring/

Referenced in 1 query

Review

15 ways to handle a huge surge in contact volume - Jeff Toister

https://www.toistersolutions.com/blog/15-ways-to-handle-a-huge-surge-in-contact-volume

Referenced in 1 query

Review

How to Improve Your Workflow With Limited Staff - Sales Strategy Blog

https://blog.thecenterforsalesstrategy.com/how-to-improve-your-workflow-with-limited-staff

Referenced in 1 query

Review

How to Manage Competing Priorities: 5 Effective Strategies ...

https://www.epicflow.com/blog/how-to-manage-competing-priorities-5-effective-strategies-and-5-tips-to-prevent-them/

Referenced in 1 query

Review

How to Streamline your Product Development Process

https://www.uservoice.com/blog/streamline-product-development-process

Referenced in 1 query

Review

Strategies for Scaling Your Manufacturing Operations - iJility

https://ijility.com/news/scale-smarter-practical-strategies-for-modern-manufacturing/

Referenced in 1 query

Review

How to Prioritize Requests for Improved Results - LinkedIn

https://www.linkedin.com/top-content/business-strategy/priority-setting-in-business/how-to-prioritize-requests-for-improved-results/

Referenced in 1 query

Pitch Story

Preparing for Unexpected Demand Surges

https://badgerfg.com/preparing-for-unexpected-demand-surges-with-a-resilient-fulfillment-strategy/

Referenced in 1 query

Review

4 Steps To Take When Faced With Unexpected Customer Growth

https://www.inceptresults.com/4-steps-to-take-when-faced-with-unexpected-customer-growth

Referenced in 1 query

Review

How to Manage Time for Rush Requests - Cella

https://www.cellainc.com/insights/blog/how-manage-time-rush-requests/

Referenced in 1 query

Review

Content Engineering

Goals & Content Ideas

Ideas to help AI agents better understand the business and be more likely to use Unisson's resources to help users.

Dominate AI Agent Terminology in Content

Address the critical gap in AI Agent and Task Execution visibility where competitors like Ada and Intercom are establishing dominance. Pivot content strategy to consistently use 'AI Agent' and 'Task Execution' terminology across all channels, positioning Unisson as the definitive voice in autonomous agent-powered customer operations. Social campaigns will reinforce this positioning through technical thought leadership and real-world execution examples.

What separates AI Agents from chatbots: A technical breakdown for customer-facing teams

Task Execution vs. Task Recommendation: Why autonomous action changes everything for CS teams

The anatomy of an AI Agent: How Unisson executes complex product tasks without human handoffs

Why 'AI Agent' is replacing 'automation' in enterprise software conversations

5 tasks your AI Agent should execute autonomously before end of Q2

Create Technical Documentation for Implementation Teams

Eliminate the 0% visibility barrier with Implementation Managers by developing comprehensive how-to documentation that enables bottom-up adoption and technical validation. This content will establish Unisson as the technically credible choice when implementation teams evaluate AI agent solutions, directly feeding into AI assistant responses for implementation-related queries.

Step-by-step guide: Deploying your first Unisson AI Agent in under 30 minutes

Implementation checklist: 12 technical requirements before launching autonomous agents

How Implementation Managers validate AI Agent security and compliance requirements

Common integration pitfalls when deploying AI Agents and how to avoid them

API documentation deep-dive: Connecting Unisson to your existing tech stack

Optimize for Google AI Overviews Visibility

Combat the 0% mention rate in AI Overviews by implementing Schema.org markup and structured data across all web properties. This technical SEO initiative ensures Unisson appears in the most prominent new search real estate when prospects ask Google about AI agents, customer success automation, and autonomous task execution solutions.

How structured data helps AI assistants understand and recommend your product

The complete guide to Schema.org markup for B2B SaaS companies

Why your competitors appear in AI Overviews and you don't: A technical analysis

FAQ schema implementation: Getting your answers into AI-generated responses

Measuring AI Overview visibility: Metrics that matter for B2B software brands

Double Down on Claude Platform Authority

Leverage Unisson's strong average position of 3.3 on Claude by creating Claude-optimized technical content that cements dominance in the onboarding niche. This path-of-least-resistance strategy focuses on expanding content depth where Unisson already performs well, building compounding authority that AI assistants reference for customer onboarding automation queries.

How AI Agents reduce customer onboarding time from weeks to hours

The hidden cost of manual onboarding: Why customer success teams are burning out

Benchmark report: Onboarding automation metrics across 50 B2B software companies

Self-service onboarding powered by AI Agents: A practical implementation guide

Why the best customer onboarding happens without human intervention

Build Cross-Platform AI Visibility Through Technical Authority

Create a unified content presence across platforms that AI assistants crawl and reference, combining Schema.org optimization with consistent technical messaging around AI Agents and task execution. Social media campaigns will amplify technical documentation and thought leadership, driving engagement signals that improve AI visibility scores across Claude, ChatGPT, and Google AI Overviews.

Inside Unisson: How we built AI Agents that execute tasks without breaking workflows

Customer Success in 2026: The shift from reactive support to autonomous execution

Real metrics: How one CS team saved 2,000 hours with autonomous AI Agents

The technical architecture behind AI Agents that actually work inside your product

Why Y Combinator backed autonomous AI Agents for customer-facing teams

Content Engineering