Top SitesAgentic Commerce and AI Personalization | Hello Retail

Machine Readiness

Stored receipt and evidence

Overall

16

Readable

55

Callable

0

Commerce

0

Payment

0

Machine Access

Inspect the site's MCP endpoint

Open MCP explorer

DialtoneApp can scan the stored discovery files for this domain, try the MCP initialize handshake, and show the raw protocol transcript.

Purchase boundary

read only

Control boundary

unknown

Payment rails

None

Payment providers

None

Payment methods

None

Payment protocols

None

Payment assets

None

Payment networks

None

Capabilities

None

Verified payment surface

No

Crypto only

No

Readable docs

robots, llms

Products

0

Variants

0

Priced variants

0

Currencies

0

Offers

0

Priced offers

0

Priced actions

0

Samples

Offer samples

No stored offer samples.

Samples

Action samples

No stored action samples.

Samples

Product samples

No stored product samples.

Document

robots.txt

Open robots.txt
# Hello Retail Website
# https://helloretail.com

User-agent: *
Allow: /

# Sitemap location
Sitemap: https://helloretail.com/sitemap-index.xml

# LLM site discovery (llms.txt standard)
# llms.txt: https://www.helloretail.com/llms.txt

# LLM markdown endpoints are ALLOWED for all bots (third audience strategy)
# Duplicate-content protection is handled by noindex headers in netlify.toml, not robots.txt
# See: https://dri.es/the-third-audience

# Block non-EN locales (translations not production-ready)
Disallow: /da/
Disallow: /nl/
Disallow: /sv/
Disallow: /it/

# Block internal/utility pages
Disallow: /*/asset-finder
Disallow: /*/component-reference

# Block pagefind index
Disallow: /pagefind/

# AI Bot Access (explicitly welcomed — including .md endpoints)
User-agent: GPTBot
Allow: /

User-agent: ChatGPT-User
Allow: /

User-agent: PerplexityBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: Google-Extended
Allow: /

User-agent: Applebot-Extended
Allow: /

User-agent: cohere-ai
Allow: /

Document

llms.txt

Open llms.txt
# Hello Retail

> AI-powered ecommerce personalization platform

Hello Retail helps ecommerce teams run better stores through AI-powered personalization. Founded 2014 in Copenhagen, Denmark. Our proprietary Product Intelligence AI powers search, recommendations, category pages, email, retail media, and audience solutions.

## Docs

- [Full LLM Information](/llm.md): Complete company and product overview

## Products

- [Personalized Search](/en/search.md): AI-powered site search for ecommerce
- [Product Recommendations](/en/product-recommendations.md): Smart AI-driven recommendations
- [Retail Media](/en/retail-media.md): Sponsored product placements and banners
- [Product Intelligence](/en/product-intelligence.md): Proprietary AI engine
- [Triggered Emails](/en/triggered-emails.md): Automated personalized email flows
- [Newsletter Content](/en/newsletter-content.md): Personalized email recommendations
- [Audience](/en/audience.md): Segmentation and targeting
- [Product Agents](/en/product-agents.md): 1:1 AI-powered email marketing

## Company

- [Pricing](/en/pricing.md): Volume-based pricing plans
- [About Us](/en/about-us.md): Company story and mission
- [Case Studies](/en/case-study.md): Customer success stories
- [FAQ](/en/faq.md): Common questions answered
- [Solutions Overview](/en/platform-overview.md): Complete platform map
- [Partners](/en/partners.md): Partner program
- [The Team](/en/the-team.md): Meet the team

## Resources

- [Blog](/en/blog/): Industry insights and product updates
- [Customer Reviews](/en/customer-reviews.md): What clients say
- [Product Tours](/en/product-tours.md): Interactive platform demos

## Contact

- Website: https://helloretail.com
- Demo: https://helloretail.com/en/demo/
- Developer API: https://developer.helloretail.com/
- LinkedIn: https://www.linkedin.com/company/hello-retail
- G2 Reviews: https://www.g2.com/products/hello-retail/reviews

Document

llms-full.txt

Not stored for this site.