What does "AI visibility" mean for my business?

When someone asks ChatGPT, Claude, or Gemini "what is the best..." or "where can I find...", AI gives specific recommendations. AI visibility is a measure of how often — and how positively — these AI platforms mention your business. It's the new version of being on the first page of Google, except now there are no pages — just one answer.

Which AI platforms do you monitor?

Pendium monitors ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, and Google AI Overviews — seven major AI platforms that consumers use to research local services. We run real queries that your customers actually ask and analyze the responses for mentions of your business, competitors, and industry topics.

How does Pendium improve my visibility?

Three ways. First, we identify the exact queries and topics where you're invisible. Second, we generate AI-optimized content — articles, guides, social posts — designed to help AI agents understand your business and recommend your services to the right people. Third, we continuously monitor to track improvement and find new opportunities. Most clients see measurable improvement within 60 days.

How long until I see results?

You'll get your first visibility report within minutes of signing up. Actual visibility improvement varies, but our clients typically see a 47% average improvement within 60 days. Some see results faster — it depends on your current online presence and how competitive your local market is.

Do I need to be technical to use this?

Not at all. Enter your website URL and Pendium handles everything: scanning AI platforms, analyzing your visibility, generating content, and tracking improvement. The dashboard is designed for business owners, not engineers. If you can check your email, you can use Pendium.

What makes this different from SEO?

Traditional SEO optimizes for Google's search rankings — blue links on a results page. AI visibility is different: AI doesn't show links, it gives direct answers. Even if you rank #1 on Google, ChatGPT might recommend a competitor. Pendium optimizes for the new paradigm — making sure AI platforms know about, trust, and recommend your business.

Pricing

Get a demo

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

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

adjacent

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Return Signals today.

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.

Working in your favor

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.

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

Gaps to close

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

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

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

Opportunities

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

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.

Highest-Impact 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.

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.

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.

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

Current State

Visibility Landscape

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

	ChatGPT	Claude	Gemini	AI Overviews
Reputation1q Brand recognition & direct queries	97	97	97	97
“What do you know about Return Signals? What do they do and what's their reputation?”	#1	#1	#1	#1
Core4q Product/service category queries	0	0	0	0
“my apparel brand's return rate is killing our margins, what tools or strategies can help me fix this?”	No	No	No	No
“most trusted post-purchase customer engagement platforms for 2026, specific brands please”	No	No	No	No
“how to use return data to figure out which products have sizing or quality issues”	No	No	No	No
“how to convert more refunds into exchanges for a shopify store, what apps do you recommend?”	No	No	No	No
Growth Areas1q Adjacent, aspirational & visionary	0	0	0	0
“best ai tools for proactive customer check-ins after a package is delivered”	No	No	No	No

“What do you know about Return Signals? What do they do and what's their reputation?”

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

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

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

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

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

Competitive Landscape

Loop Returns

33 mentions

Shopify

30 mentions

Klaviyo

24 mentions

Gorgias

24 mentions

Narvar

22 mentions

True Fit

17 mentions

Happy Returns

15 mentions

Attentive

15 mentions

AfterShip

15 mentions

Returnly

14 mentions

Return Signals

0 mentions

Analysis

Insights & Recommended Actions

What's working, what's not, and specific steps to improve Return Signals's AI visibility.

Key Findings

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.

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.

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.

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.

Content Engineering

Content Ideas

Content designed to help AI agents learn about your category and recommend your brand.

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

Core

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

Core

The Margin-Obsessed CFO · Chief Financial Officer

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

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.

Reduce Returns in Fashion Ecommerce - Cahoot

cahoot.ai

Return Signals

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Explore E-commerce Technology

Start gettingrecommended by AI.

Frequently asked questions

Return Signals

Key Takeaways

Visibility Landscape

Insights & Recommended Actions

Content Ideas

Sample Conversations

Citations

Brand Voice & Style

Investors

Engineer content that makes AI agents recommend you

Explore E-commerce Technology

Start gettingrecommended by AI.

Frequently asked questions

Start getting
recommended by AI.

Start getting
recommended by AI.