Live Proof of Concept

How atsell.io ranks on Google — and gets recommended by AI

This website was built entirely with AI. It ranks on Google for competitive ecommerce keywords in Southeast Asia, and AI tools like ChatGPT and Perplexity have accurate knowledge of Atsell and cite our site. Below is exactly how — and how we can replicate it for your brand.

Ask ChatGPT: "Tell me about Atsell as an ecommerce enabler" — see what it knows.

Do this for my website

Known to AI tools

ChatGPT and Perplexity have accurate knowledge of Atsell and cite atsell.io when asked directly about us

Clients from AI referrals

Inbound leads arriving via "an AI recommended you" — a new acquisition channel that did not exist 18 months ago

100+ pages indexed

Blog, service, and market pages ranking for long-tail keywords across Singapore, Malaysia, Vietnam & Thailand

Built 100% with AI

Every page of atsell.io was written and coded using Claude — proving the entire stack (content + code + SEO) can be AI-native

Real proof. No blurred numbers.

Real screenshots. Search it yourself and see.

Google — "ecommerce enabler Singapore"
Atsell ranking #2 on Google for ecommerce enabler Singapore

🟢 Atsell ranks #2 on Google

For the keyword "ecommerce enabler Singapore" — behind only Tracxn, a massive global startup database.

ChatGPT — recommending Atsell
ChatGPT recommending Atsell as an ecommerce enabler in Singapore

🟢 ChatGPT recommends Atsell by name

"I would recommend putting Atsell on your shortlist" — when asked directly, ChatGPT had accurate knowledge of Atsell and cited atsell.io as the source.

Perplexity — citing Atsell
Perplexity citing Atsell as a credible Singapore-based ecommerce enabler

🟢 Perplexity calls Atsell "a credible Singapore-based ecommerce enabler"

Citing atsell.io directly, with detailed positioning on when to choose Atsell over larger regional competitors.

Real inquiries. Cited AI as the referral source.

These are actual WhatsApp messages from prospects who found Atsell through ChatGPT or another AI tool — before we even had a sales process for this channel.

💬 WhatsApp Inquiry #1
WhatsApp inquiry from prospect who found Atsell via AI

🟢 Inbound via AI referral

Prospect reached out after an AI tool recommended Atsell when they searched for an ecommerce enabler in Southeast Asia.

💬 WhatsApp Inquiry #2
Second WhatsApp inquiry from prospect who found Atsell via AI

🟢 Inbound via AI referral

Another prospect who explicitly cited an AI recommendation as the reason they contacted Atsell — a new acquisition channel.

SEO you can verify. AEO you can test right now.

Most agencies show you case studies with blurred-out numbers. We show you the actual website. Atsell.io is our proof of concept — a live site you can audit, Google, and ask AI about.

Clients are finding Atsell because an LLM recommended us. That is the new reality of discovery — and it is engineerable. Below is the exact technical and content playbook we used.

The exact techniques we used

Eight things we built into atsell.io that drive both Google rankings and AI citations.

01

Schema markup on every page

Technical SEO

Every page on atsell.io includes structured data — Organization, Service, FAQPage, and WebSite schemas. This tells both Google and AI crawlers exactly what Atsell is, what it does, and who it serves. Schema is the foundation that makes everything else legible to machines.

02

llms.txt — the AI sitemap

AEO

We added an llms.txt file to the root of atsell.io. This is an emerging convention — not yet a universal standard — that gives AI crawlers a structured, plain-text summary of who we are, what we do, and what pages exist. It signals to LLMs that our content is intended to be machine-readable.

03

AI crawlers explicitly allowed

AEO

Our robots.txt explicitly allows GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Anthropic-ai, and Google-Extended. Most websites block these by default. OAI-SearchBot is what enables ChatGPT Search visibility; GPTBot relates to model training. Allowing both is the baseline for AI discoverability.

04

FAQ content that answers real questions

SEO + AEO

Every service page and blog post on atsell.io includes a FAQ section targeting questions people actually ask — both on Google and to AI assistants. These are wrapped in FAQPage schema so they appear in Google rich results and get indexed as direct answers by LLMs.

05

Long-form blog articles targeting real questions

SEO

We published detailed guides targeting long-tail keywords with real search volume: "how to sell on Shopee Singapore", "ecommerce enabler pricing", "TikTok Shop live selling tips". Each article is structured with clear headings, factual specifics, and internal links — the signals Google rewards.

06

Entity definition — making Atsell a known entity

AEO

AI models do not just index pages — they build entity graphs. We defined Atsell as a named entity with consistent attributes: founding date, country, services, contact info, LinkedIn, and area served. This consistency across the site and schema helps LLMs confidently reference Atsell by name.

07

Market and competitor pages for topical authority

SEO

We built dedicated pages for every market (Singapore, Malaysia, Vietnam, Thailand, Philippines) and every platform (Shopee, Lazada, TikTok Shop) — plus competitor comparison pages. This cluster of related content signals topical authority to Google in the ecommerce enabler category.

08

Canonical URLs and clean site architecture

Technical SEO

Every page has a canonical tag pointing to its own URL, a metadataBase configured in Next.js, and a 381-URL sitemap submitted to Google Search Console. No duplicate content, no orphan pages — a clean crawl path from root to every leaf page.

We build this for your website

Everything on this page — the schema, the content architecture, the AI crawl setup — is replicable for any business in any industry.

Technical SEO setup

Schema markup (Organization, Service, FAQ)
Canonical URLs and sitemap
Google Search Console verification
Site speed and Core Web Vitals

AEO setup

llms.txt creation and optimization
robots.txt AI crawler permissions
Entity definition across pages
Structured FAQ content for LLM indexing

Content strategy

Keyword research for your industry
Long-form blog articles targeting real questions
Service and market page cluster
Internal linking architecture

Ongoing optimization

Monthly content publishing
Google Search Console monitoring
AI citation tracking
Competitor gap analysis

Frequently asked questions

What is AEO (Answer Engine Optimization)?

AEO stands for Answer Engine Optimization — the practice of structuring your website so that AI tools like ChatGPT, Claude, and Perplexity cite your brand when users ask relevant questions. Unlike traditional SEO which targets Google's ranking algorithm, AEO targets the language models that are increasingly becoming the first stop for product and service research.

How is AEO different from SEO?

SEO gets you ranked on Google search results pages. AEO gets your brand mentioned inside AI-generated answers. Both matter: Google still drives the majority of web traffic, but AI tools are growing fast as a discovery channel — especially for B2B services, professional recommendations, and considered purchases.

How long does it take to rank on Google or appear in AI answers?

For new pages targeting long-tail keywords, Google rankings typically appear within 4–12 weeks. AI citation is harder to predict — it depends on crawl frequency and model training cycles — but well-structured, authoritative content tends to get picked up within 2–3 months of consistent publishing.

Can you do this for any industry?

Yes. The technical framework — schema markup, llms.txt, structured FAQ content, entity optimization — works across industries. The content strategy (what questions to answer, which keywords to target) is tailored to your specific market and audience.

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