Case study

Nori

A women's travel brand on Shopify, building luggage for how women actually travel. Three of its AI employees are live and doing real work. Here's what each one does.

Three AI employees, live for Nori

Shakespeare · Visibility

From invisible to the source AI quotes.

Nori went from near-zero organic presence on Google to page-one rankings, and from invisible in AI search to being cited as a source inside Google's AI Overviews, on the exact queries buyers use to choose luggage.

Page 1
top-5 on Google for high-intent buying queries
Cited
as a source inside Google's AI Overviews
2% to 17%
visibility in AI search
01Before

Invisible where customers were choosing.

Ask an AI assistant where to buy cabin luggage in India and you get a confident shortlist. Nori wasn't on it, around 2% visibility, effectively invisible at the moment a customer is deciding. And it wasn't winning the other side of search either: organically, Google sent Nori's content almost no traffic at all. Worse, where AI did mention Nori, it was repeating wrong information pulled from Nori's own website. On the two surfaces where buyers now make decisions, Nori was either absent or misrepresented.

02The approach

An AI employee that engineers Nori into the answer.

Shakespeare doesn't start with keywords. It starts by learning the brand, not from a brand deck but from the founder: what Nori actually is, who it's for, and what's genuinely true about the product that no competitor can claim. That understanding is the raw material for everything after.

Then comes the intelligence work. It maps the real questions buyers ask an AI on the way to a luggage decision, "best cabin luggage India", "Mokobara review", "Mokobara vs Samsonite", and audits, query by query, how Nori shows up in each: where it's missing, where it's outgunned, where the AI is repeating something untrue. That audit is what surfaced Nori's own site working against it.

Those gaps get organised into content pillars: discovery questions, head-to-head comparisons, feature and trust questions, real use-cases. The work becomes a deliberate map of where Nori needs to exist in the AI's mind, not a pile of blog posts. For each pillar, Shakespeare studies the competition honestly: how the category leaders are described, what's true about each, and where the real opening is.

Only then does it draft, one fact-checked piece per gap, in Nori's voice, written to be quoted rather than just ranked: a direct answer up top, exact specs and comparisons the AI can lift word for word, and honest coverage of rivals. Where Nori can't credibly be the hero of a question, it's the narrator: the most trustworthy independent answer on that question, hosted on Nori's own blog. The output isn't content marketing. It's a brand being deliberately engineered into the answer.

03The result

A new channel, becoming a big one.

It's working on both surfaces. The content that used to bring almost no organic traffic now ranks on page one of Google, in the top five on high-intent buying queries, under the sponsored block. And on those same queries, Nori's blog is now cited as a source inside Google's AI Overview.

For a young brand up against names many times its size, becoming the source the AI quotes is the hard part, and Nori is now there. Visibility in AI search has climbed from 2% to 17%, the content now drives 12% of the site's traffic, and with 25 articles live and more shipping, a channel that barely existed is becoming one of the biggest.

Google AI Overview for 'best cabin luggage India' citing Nori's guides among its sources.
"best cabin luggage India": Nori's guides cited in the AI Overview's sources.
Google AI Overview for 'Mokobara vs Samsonite' citing Nori's comparison article as a source.
"Mokobara vs Samsonite": Nori's comparison cited as the source on a competitor query.
Google AI Overview for 'Mokobara review' citing Nori even on a rival's own brand search.
"Mokobara review": Nori cited even on a rival's own brand search.
How it works

Built using AI, shaped around the business.

Each employee was largely built using Claude, then shaped around Nori's own data, context, and the way the team works, which is what makes it useful instead of generic. How you reach it depends on what's being solved: sometimes it's an MCP connector the team talks to inside Claude or Codex, sometimes a web app. And because it's built for the brand, it works with whichever AI they prefer, Claude, Codex, or others.

For the first time, I'm not the bottleneck. The website list that used to sit for weeks now ships in hours, I can ask anything about the business and get a real, data-backed answer in minutes instead of guessing, and we're finally showing up when customers ask AI what luggage to buy. It's handed me back real time and lifted a huge load off the team. Honestly, it feels like having an elite team right beside me.
Meenakshi, founder of Nori
Meenakshi  ·  Founder, Nori  ·  mynori.com

Curious what we'd ship for you?

Fifteen minutes, no pitch. Tell us what's slowing your business down, and we'll show you what we'd do about it.

Talk to us