Return Signals

Visibility0

Vibe63

Businesses/E-commerce Technology/Return Signals

AI Visibility & Sentiment

Return Signals

Return Signals is a Y Combinator-backed AI-powered post-purchase messaging platform that helps e-commerce brands reduce returns and increase exchanges through proactive SMS customer engagement. The platform intervenes after delivery to convert potential refunds into exchanges, improving margins and customer retention.

Active Monitoring

returnsignals.com

E-commerce Technology YC25-26

AI Visibility Score

0/100

Invisible

Sentiment Score

63/100

AI Perception

Summary

Return Signals is currently a ghost in the strategic conversations where its solutions are most needed, appearing only when the brand name is explicitly queried. While the AI models accurately identify the brand during direct 'vibe checks,' the company is completely shut out of high-intent discovery queries regarding margin protection and return reduction, allowing competitors like Loop Returns to dominate the narrative.

Value Proposition

AI-powered proactive SMS messaging that catches customer uncertainty before it becomes a return, converting refunds into exchanges and building lasting customer relationships through personalized post-delivery check-ins.

Overview

Mission

Build relationships with customers through meaningful conversations, transforming the post-purchase experience from reactive support to proactive care.

Products & Services

AI-powered post-purchase SMS messaging platformProactive customer check-in automationPhoto-based return troubleshootingExchange recommendation engineAnalytics dashboard for CX, merchandising, and ops

Agent Breakdown

AI Platforms

How often do different AI platforms reference Return Signals?

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Conversation Analysis

Topics

What conversations is Return Signals included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Return Signals 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

Lowering Return Rates & Protecting Margins(2 queries)

“my apparel brand's return rate is killing our margins, what tools or strategies can help me fix this?”

0/4 platforms mentioned

ChatGPT

1.Looker

2.Tableau

3.Power BI

4.Shopify

5.Magento

+30 more

Claude

1.True Fit

2.Fit Predictor

3.Visy

4.Inspectorio

5.Shopify

+3 more

Gemini

1.True Fit

2.WAIR

3.MySizeID

4.Vntana

5.Okendo

+13 more

AI Overviews

1.1WorldSync

2.Loop Returns

3.Shopify

4.ReturnGO

5.Happy Returns

+5 more

“how to convert more refunds into exchanges for a shopify store, what apps do you recommend?”

0/4 platforms mentioned

ChatGPT

1.NetSuite

2.Shopify

3.Loop Returns

4.Celigo

5.FarApp

+16 more

Claude

1.Shopify

2.Loop Returns

3.Returnly

4.AfterShip Returns

5.NetSuite

+1 more

Gemini

1.Loop Returns

2.NetSuite

3.ERP

4.Shopify

5.Chubbies

+8 more

AI Overviews

1.Shopify

2.ReturnLogic

3.Loop Returns

4.ReturnGO

5.Return Prime

+2 more

Modern Post Purchase Stack & SMS Automation(1 query)

“best ai tools for proactive customer check-ins after a package is delivered”

0/4 platforms mentioned

ChatGPT

1.Twilio

2.Twilio Programmable Messaging

3.SendGrid

4.Braze

5.Klaviyo

+20 more

Claude

1.Klaviyo

2.Twilio Segment

3.Twilio Messaging

4.Gorgias

5.Shopify

+13 more

Gemini

1.AfterShip

2.Narvar

3.Wonderment

4.Shopify

5.Klaviyo

+9 more

AI Overviews

1.Klaviyo

2.Narvar

3.Gorgias

4.Shopify

5.Intercom

+5 more

Evaluating Return Management & Post Purchase Platforms(1 query)

“most trusted post-purchase customer engagement platforms for 2026, specific brands please”

0/4 platforms mentioned

ChatGPT

1.Narvar

2.AfterShip

3.Shopify

4.Magento

5.BigCommerce

+21 more

Claude

1.Klaviyo

2.Braze

3.Iterable

4.Attentive

5.Gorgias

+2 more

Gemini

1.Narvar

2.AfterShip

3.Shopify

4.BigCommerce

5.parcelLab

+8 more

AI Overviews

1.Narvar

2.AfterShip

3.ClickPost

4.Outvio

5.Loop Returns

+5 more

Data Driven Merchandising & Operations(1 query)

“how to use return data to figure out which products have sizing or quality issues”

0/4 platforms mentioned

ChatGPT

1.spaCy

2.AWS Comprehend

3.Google Cloud Natural Language

4.MonkeyLearn

5.Clarifai

+26 more

Claude

1.Shopify

2.WooCommerce

3.Tableau

4.Power BI

5.Looker Studio

+2 more

Gemini

1.Loop Returns

2.Narvar

3.Tableau

4.Power BI

5.True Fit

+2 more

AI Overviews

1.ReverseLogix

2.Databox

3.Loop Returns

4.Returnalyze

5.Salesforce Return Insights

+3 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Secured #1 ranking across ChatGPT, Claude, Gemini, and AI Overviews for direct brand-specific inquiries, confirming that LLMs have successfully indexed the core brand identity.

Strength

Maintains a consistent and positive sentiment profile in direct brand lookups, ensuring that when users do find the brand, the initial impression is favorable.

Gap

Total absence from critical category-defining queries such as 'lowering return rates' and 'protecting margins,' leaving the 'Margin-Obsessed CFO' persona entirely underserved.

Gap

Zero visibility in the 'Modern Post-Purchase Stack' conversation, where competitors like Klaviyo and Gorgias are cited as the default industry standards.

Gap

Failure to capture niche but high-value operational queries regarding 'sizing data' and 'data-driven merchandising' that are core to the product's utility.

Opportunity

The query regarding 'using return data for sizing' shows inconsistent competitor dominance, representing a wide-open territory for Return Signals to establish authority.

Opportunity

Developing content that explicitly compares Return Signals to Loop Returns could leverage the competitor's high mention volume to get Return Signals included in 'alternative to' recommendations.

Technical Health

Site Health for AI Visibility

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

89/100

18 passed 3 warnings 1 issues

Audited 2/27/2026

Crawlability100

Can AI bots find your pages?

Technical96

SSL, mobile, doctype basics

On-Page SEO87

Titles, descriptions, headings

Content Quality60

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

Critical Issues

Content is too thin

Expand your content to at least 300-500 words with valuable information.

Warnings

3 render-blocking resource(s) detected

Consider deferring or async-loading non-critical scripts and stylesheets.

Meta description is too short (56 characters)

Expand the description to 150-160 characters with a clear value proposition.

H3 used without H2 — heading levels are skipped

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

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Brand Identity

Brand Voice & Style

How AI perceives Return Signals's communication style and personality

Return Signals communicates with a thoughtful, consultative tone that balances technical sophistication with genuine warmth. The brand speaks as an expert partner who deeply understands the e-commerce returns problem and offers a paradigm shift rather than just another tool. Content is data-driven yet accessible, using concrete metrics and real scenarios to illustrate impact. The voice is confident without being pushy, educational without being condescending, and always focused on the human element of customer relationships.

Core Tone Traits

Consultative & Insightful

Positions complex problems clearly and offers strategic perspective, not just product features

Data-Driven yet Human

Backs claims with specific metrics while emphasizing customer relationships and empathy

Confident & Expert

Speaks with authority on post-purchase CX, backed by Y Combinator credibility and pilot results

Warm & Relationship-Focused

Emphasizes care, meaningful conversations, and building trust over transactional efficiency

Competitive Landscape

Related Ecosystem

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

Loop Returns33 mentions

Shopify30 mentions

Klaviyo24 mentions

Gorgias24 mentions

Narvar22 mentions

True Fit17 mentions

Happy Returns15 mentions

Attentive15 mentions

AfterShip15 mentions

Returnly14 mentions

Return Signals0 mentions

Source Intelligence

Citations

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

Reduce Returns in Fashion Ecommerce - Cahoot

https://www.cahoot.ai/reduce-returns-in-fashion/

Referenced in 1 query

Review

How To Decrease Apparel Returns | Tailored - Clothes Measuring App

https://www.thetailoredco.com/how-to-decrease-apparel-returns/

Referenced in 1 query

Review

4 keys to help you reduce your return rate - Reveni

https://www.reveni.com/blog/4-keys-to-help-you-reduce-your-return-rate

Referenced in 1 query

Review

How Consumer Electronics Brands Can Reduce E-Commerce ...

https://1worldsync.com/resource-center/blog/how-consumer-electronics-brands-can-reduce-e-commerce-returns/

Referenced in 1 query

Review

How To Reduce Returns In Ecommerce: Proven Strategies for ...

https://www.cahoot.ai/how-to-reduce-returns-in-ecommerce-fashion/

Referenced in 1 query

Review

19 Best eCommerce Return Management Solutions (2026)

https://outvio.com/blog/ecommerce-return-management-software/

Referenced in 1 query

Review

Strategies to reduce ecommerce return rates - Pitney Bowes

https://www.pitneybowes.com/us/blog/strategies-to-reduce-ecommerce-return-rates.html

Referenced in 1 query

Review

The top 12 best returns management software tools

https://www.loopreturns.com/blog/best-returns-management-software-tools/

Referenced in 1 query

Review

The Top Return Management Software & Post Purchase Platforms

https://www.returnbear.com/resources/top-return-management-software

Referenced in 1 query

Review

15 Ways to Reduce the Cost of Returns in 2025 - NetSuite

https://www.netsuite.com/portal/resource/articles/ecommerce/reduce-cost-of-returns.shtml

Referenced in 1 query

Review

Top Ecommerce Returns Best Practices: Strategies for Efficiency & ...

https://www.cahoot.ai/ecommerce-returns-best-practices/

Referenced in 1 query

Review

How to Turn eCommerce Returns into Opportunities - SCAYLE

https://www.scayle.com/library/blog/optimize-ecommerce-returns/

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 Return Signals's resources to help users.

Establish CFO-Focused Margin Recovery Thought Leadership

Address the brand's invisibility to CFO personas by publishing authoritative, data-heavy content that positions Return Signals as the definitive voice on return-to-margin optimization. This strategy will create indexable content that helps LLMs associate our brand with margin recovery queries, while social media amplifies key findings to finance-focused audiences on LinkedIn and industry forums.

The Hidden P&L Line Item: How Returns Are Silently Eroding Your Gross Margins

5 Metrics Every CFO Should Track to Measure Post-Purchase Revenue Leakage

Case Study: How One DTC Brand Recovered $2.3M in Annual Margin Through Exchange Optimization

The CFO's Guide to Calculating True Cost of Returns Beyond Shipping Labels

Why Finance Teams Are Finally Taking Control of the Returns Problem

Own the Refund-to-Exchange Conversion Narrative

Compete directly with Loop Returns for exchange-conversion queries by implementing structured schema and comprehensive FAQ content around refund-to-exchange tactics. This creates the indexable, structured data LLMs need to surface Return Signals in Shopify-specific workflow queries, supported by social content that drives traffic to these optimized resources.

The Psychology Behind Why Customers Choose Exchanges Over Refunds

7 Timing Triggers That Convert Refund Requests Into Successful Exchanges

How Proactive SMS Outreach Doubles Exchange Rates Compared to Email

The Shopify Merchant's Playbook for Reducing Refunds Without Friction

What Your Return Policy Language Is Costing You in Lost Exchanges

Secure Third-Party Validation in E-commerce Tech Media

Break into the post-purchase stack conversation dominated by Klaviyo and Gorgias through strategic PR placements in tech and e-commerce publications. Third-party coverage helps AI models categorize Return Signals within the post-purchase ecosystem, while social sharing of earned media builds credibility and creates additional indexable mentions.

Why AI-Driven Post-Purchase Engagement Is the Next Frontier for E-commerce Retention

Expert Commentary: The Missing Link Between Delivery Confirmation and Customer Loyalty

How Proactive Messaging Is Redefining the Post-Purchase Tech Stack

The Rise of Intervention-Based Returns Management in Modern E-commerce

What Shopify Brands Can Learn From the Hospitality Industry About Post-Purchase Care

Build a Transparent Competitor Comparison Hub

Help LLMs understand Return Signals' unique positioning by creating direct, honest comparisons with established players like Narvar and Loop. Since AI models already recognize our brand name, structured comparison content clarifies our differentiation and improves our chances of appearing in recommendation queries, amplified through social proof and customer testimonials.

Return Signals vs. Loop Returns: Which Approach Actually Improves Margins

Why Proactive SMS Beats Reactive Return Portals for Customer Retention

The Real Difference Between Returns Management and Returns Prevention

Narvar vs. Return Signals: Comparing Post-Purchase Philosophy and Results

How to Choose the Right Returns Solution for Your DTC Brand's Growth Stage

Content Engineering

Recommended Actions

Publish a series of data-heavy white papers and technical blogs focused on 'Return-to-Margin' optimization.

The brand is currently invisible to CFO personas; authoritative content linking the brand to margin recovery is essential to update LLM training sets and association maps.

Impact: High

Implement structured schema and FAQ sections on the website specifically addressing 'refund-to-exchange' conversion tactics.

Competitors like Loop Returns own the exchange-conversion narrative; Return Signals needs indexable, structured data to compete for mentions in Shopify-specific workflow queries.

Impact: High

Execute a targeted PR strategy with tech and e-commerce publications focusing on AI-driven post-purchase engagement.

Klaviyo and Gorgias dominate the 'post-purchase stack' queries; third-party validation is needed to help AI models categorize Return Signals within that specific ecosystem.

Impact: Medium

Create a 'Return Signals vs. Competitors' comparison hub on the main site.

Since LLMs already recognize the brand name, providing direct comparisons helps the models understand the brand's unique value proposition relative to established players like Narvar and Loop.

Impact: Medium

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