hellorep.ai
Link authority for hellorep.ai (registrable domain: hellorep.ai) from the Common Crawl web graph: PageRank and harmonic centrality history since 2017, current scores, and the site's top backlink sources.
Web-graph authority (0-100)
Domain scores measure hellorep.ai as a whole: every subdomain's links rolled up into one node of Common Crawl's domain-level web graph. Host scores measure the exact hostname hellorep.ai. WWW scores cover the www variant of that hostname, which the graph tracks as its own entry since January 2026 (before that, www and bare host were merged). A big gap between domain and host usually means the domain's authority lives on other subdomains. PageRank is link-endorsement authority: how much weight the sites linking here carry themselves. Harmonic centrality measures reach: how close this site sits to the rest of the web when following links, which favors broadly connected sites over ones boosted by a few heavy linkers. All are normalized 0 to 100 within each crawl snapshot; a dash means that series does not exist for this site.
Homepage
What hellorep.ai presents on its own homepage: the page title, description, and the social share markup it publishes. Pulled from https://hellorep.ai.
| Title | AI Agentic Commerce Platform for Growth-Focused Brands | Rep AI |
|---|---|
| Description | Rep AI helps ecommerce brands turn shopper conversations into revenue, support resolution, and actionable insight with AI customer service, product discovery, and AI-powered helpdesk tools. |
Social accounts and contact points
Where this site maintains a presence and every reachable route its homepage exposes: social accounts, contact pages, addresses, and content feeds.
| TeamRepAI | |
| rep_ai_team | |
| teamrepai (business) | |
| Youtube | TeamRepAI |
| Blog | https://hellorep.ai/blog |
|---|
Structured data (JSON-LD)
The schema.org markup this homepage publishes: the machine-readable identity search engines and AI systems read. Types found: FAQPage.
JSON-LD block (4,474 bytes)
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is agentic commerce?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Agentic commerce is a new ecommerce model where intelligent systems actively guide shoppers through buying decisions. Instead of static pages, filters, and FAQs, agentic commerce introduces AI that can respond to questions, narrow products, resolve support requests, and learn from customer interactions in real time."
}
},
{
"@type": "Question",
"name": "What is an Agentic commerce OS for ecommerce?",
"acceptedAnswer": {
"@type": "Answer",
"text": "An AI concierge is an intelligent assistant that helps shoppers discover products, compare options, answer questions, and complete purchases through conversation. Unlike traditional chatbots, AI concierges use product data, shopper behavior, and context to guide decisions and increase conversions."
}
},
{
"@type": "Question",
"name": "How does AI increase ecommerce conversion rates?",
"acceptedAnswer": {
"@type": "Answer",
"text": "AI increases ecommerce conversions by resolving hesitation during the shopping session. It answers product questions, narrows product options, recommends complementary items, and addresses objections in real time before shoppers abandon the site."
}
},
{
"@type": "Question",
"name": "How does AI help increase average order value (AOV)?",
"acceptedAnswer": {
"@type": "Answer",
"text": "AI increases AOV by recommending complementary products, bundles, and upgrades within the buying conversation. Because these recommendations are contextual and based on shopper intent, they feel helpful rather than promotional."
}
},
{
"@type": "Question",
"name": "How is AI chat different from a chatbot?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Traditional chatbots rely on scripted flows and predefined answers. AI-powered systems like REP use natural conversation, product data, and shopper behavior to dynamically answer questions, narrow product choices, and guide purchasing decisions."
}
},
{
"@type": "Question",
"name": "How does conversational product discovery work?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Conversational product discovery allows shoppers to describe what they’re looking for in natural language instead of using filters. The system asks follow-up questions, narrows results dynamically, and presents relevant products directly inside the conversation."
}
},
{
"@type": "Question",
"name": "Can AI answer customer support questions automatically?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Yes. AI systems can resolve many routine support requests automatically, including order tracking, returns, exchanges, product questions, and policy inquiries. Complex issues are automatically routed to human agents with full conversation history."
}
},
{
"@type": "Question",
"name": "What insights can brands get from shopper conversations?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Shopper conversations reveal valuable insights such as product confusion, competitor comparisons, price objections, feature requests, and missing information on your site. These insights can inform product pages, marketing campaigns, and merchandising strategies."
}
},
{
"@type": "Question",
"name": "How quickly can an AI concierge be implemented on a ecommerce Shopify store?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Most brands can connect their Shopify catalog and help center and go live within minutes. As the AI interacts with shoppers, it continuously improves its recommendations and responses over time."
}
},
{
"@type": "Question",
"name": "What integrations are important for an AI commerce platform?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Key integrations typically include ecommerce platforms like Shopify, marketing tools like Klaviyo, support systems like Gorgias or Zendesk, and messaging channels such as Instagram, Facebook, and WhatsApp."
}
}
]
}
Authority over time
Every Common Crawl web-graph release since 2017, roughly quarterly. The domain series goes back to 2017; Common Crawl only began publishing the host-level graph in 2020, so host lines start there. Click a legend entry to show or hide that line. Flat lines are normal for established sites; watch for sustained rises or drops, which track real gains or losses in who links here.
A note on www: through the end of 2025 the source web graph merged www and non-www hostnames into the bare name, so one host line covers both. Starting in January 2026 the graph splits them into separate entries, which is why www can carry its own scores going forward.
Backlink counts
Unique linking domains seen in Common Crawl's link graphs. This is a different dataset than the 0-100 authority scores above: these are raw counts, host-level for hellorep.ai and domain-level for hellorep.ai with all its subdomains combined. Common Crawl covers a large sample of the web, not all of it, so treat counts as comparable between sites rather than absolute totals.
Top backlinks in the domain graph
Common Crawl publishes two link graphs. The DOMAIN graph connects whole domains: every link from any page of one domain to any page of another. This table shows the highest-authority domains linking to hellorep.ai (including its subdomains), ranked by the linker's PageRank. The table shows the top 391; the download carries the full stored list (up to 10,000 linkers) as JSON. Click a linker for its own site profile.
Top backlinks in the host graph
The HOST graph connects exact hostnames, so subdomains count separately. This table shows the highest-authority hosts linking to hellorep.ai specifically, ranked by the linker's PageRank. The table shows the top 50; the download carries the full stored list (up to 10,000 linkers) as JSON. Click a linker for its own site profile.