Introduction

Good evening everyone, I'm Stefano Viviano, I'm CEO and co -founder of Rappen.

Rappen is a new 2026 startup that is focused on groceries and we help thousands of people in Switzerland to save on their groceries.

But today I'm not here to talk about my app, but I'm here to talk and show how we actually put together,

there are literally in every workflow AI to launch our startup.

So let's start straight away.

I will

start with a bold statement.

AI Isn’t a Tool—It’s the Company

AI isn't one tool.

AI is the whole company.

Building the App and Website: Front-End vs Back-End

So I'll start first with

the app front -end and back -end and as well the website.

So we use mainly cloud code,

cursor and of course anti -gravity visual studio codes whoever like whatever you

prefer and basically we have only one rule in this stuff the rule is that

everything that is front -end you you can just build and vibe code as much as you

want but everything that is back -end I'm lucky enough to have very true true very

good technical developers that actually check each line of code that goes in the

back end so given this we basically built some agent within our workflow of the app the app

Automating Data Quality (DataOps) with AI Agents

collects offers from seven different retailers and of course you can imagine that is a huge

amount of data also different between each others and you need to normalize them streamline the data

and make sure that anything is missing otherwise the app will look very bad the data quality will

be very bad and this is actually a full -time job this is called data ops okay or data quality so

basically this job in our company is totally automatized we have several ai agents in a

workflow that check the quality of each offer that gets in our app and make sure

that people see only what is true and we have a mismatch rate of way less than one percent

AI-Powered Product Features

Translating Retail Offers Across Swiss Languages (and English)

Connected to this, there is also a job that couldn't be done in the past and this is like

the translation, not because there were no translators.

So imagine like you had even in the past the best team of translator ever.

What we are doing all internally is getting the offers and as you know Switzerland has

as mainly for official aqua, including Romancio,

but we have mainly German, French, and Italian,

that is actually the language in which

all the supermarkets publish their offers, right?

But we don't find the offers in English.

But you can imagine that even with the strongest

translator team a few years ago, you couldn't have done this.

Instead, in five minutes, literally,

since the offer get out, we translate all of them

also for the English -speaking population,

that is actually like the immigration here is around 25 plus percent so

Receipt Scanning and Spend Tracking with Vision Models

another feature that we build also thanks to AI is the scanner spending

tracker so very soon in our app you will be able to just take a photo of your

receipt even a bad one and AI will basically get all data you will get what

you bought when you bought if it was in offer we supermarket what time so right

right?

And basically these to think even this few months ago,

few years ago, like would have been a mess, like, imagine

building an OCR pipeline for the most technical of you without

AI.

And basically, you need to set up everything in a database,

match every categories in the in the receipt, this could be like,

very, very, very, very hard work.

And, of course, you will

have a lot of not categorized items for example supermarkets usually put new items right instead

with some very light and cheap model nowadays vision llms basically you can automate this

workflow in just using just one llm that recognize your zip and as well classify and categorize

is everything.

AI for Content, Research, and Company Operations

Presentation, Website, and Social Content Generation

Another big use that we did is actually

the content and visual.

For example, this whole presentation,

the slides that you're seeing, were built by Cloud Code

in around five minutes.

I just took my time to give the prompt,

to say what I wanted to speak about, and that's the result.

It's not bad.

It's not the best.

But actually, it saves you a lot of time

rather than building slides and moreover we use as well Gemini and as

well HLGPT especially in the last week after the update and now as well

Cloud Designer for our website and socials.

Market and Competitor Research at High Speed

Another use of AI that I do

almost on a weekly basis is the market and competitors analysis and market and

compiler analysis is something that back in the days would have take for new

startups around two three weeks maybe one month if you wanted to do very

carefully now we can take up to an afternoon so apart from the like very

simple stuff that is deep research you can use deep research on chat GPT cloud

code and whatever perplexity I will give you another example on how to use it you

can do something that before would have taken an immense amount of time that is actually check

your competitors for example in my case i'm launching an app i'm sure there are some

competitors on the app in the play store so what they do is identify my competitors and then i go

on the review section and there are tens of thousands of reviews in all the different

languages right what you can do in literally a few seconds few minutes you just copy paste all

the comment you give to an llm and you immediately will know what to develop which feature are missing

which feature the people like the most and like the list and so on you you can basically understand

so much about our your market in few seconds that before would have take you months and

Legal and Privacy Documents (with Human Review)

another very important usage that i found very useful in the last months

is definitely the terms and privacy and the legal in general like you can build like legal document

for example terms and privacy documents or um even like um use document terms of use and so on

and as well incorporation document and any anything that is with a legal advisor usually

like imagine you are a new startup you you starting like in a totally new market you don't

have a huge budget.

Of course, most probably you cannot afford a very good legal advisor.

So I'll do just a small disclaimer here.

AI doesn't substitute legal advisors yet, right?

But the point here is that if you are using AI, you can avoid at least 95 % plus of the

problems that would be legal problems for your companies.

My personal workflow is, for

For example, I have a Cloud Code agent that is actually trained on every part of my company, especially on the legal side.

And basically, this agent creates for me documents and whatever that is connected to legal.

Then I put whatever the agent created to ChatGPT for a review.

Then I put it back to Cloud.

and after the last review from Claude it's good enough for human review that

is me in this case and of course especially legal documents always read

Turning Multilingual User Feedback into a Roadmap

very carefully everything and last but not least I really like AI to visualize

and pivot fast at least with my product so basically and I will do another

example on visualizing pivot fast.

In our app we launched a survey that is

basically was asking for ideas from the user what they like what they don't like

about the app and so on and we receive hundreds of answers in all the four

different languages I don't speak all the four different languages here in

Switzerland but I just copy -paste all the reviews I got and instantly I had a

roadmap of where to pivot fast where to pivot first where like what to build and what is easier

what and trust me if you are a first time startupper like am it's basically a game changer

because ai has way more experience than you on this so the world's pitch here is is not about

The Bottleneck Shift: Product-Market Fit and Marketing

just how useful is ai and how easy is to found a startup nowadays in 2026 actually the opposite

building the product is not the hard part anymore

ok so if you're building a product nowadays with AI it's super easy

ok but now what is super hard and became super hard is finding the product

market fit and getting found on the marketing.

AI didn't make startup easier

he just moved the bottleneck

SEO Deep Dive: How to Earn Non‑Branded Traffic with AI

that's what I'm trying to say and today I will do a small demo and a deep dive

on actually the SEO and basically I choose this topic because it's something

that every business need even physical business not just apps and I will just

show our strategy that in the last in less than three months has already

brought some interesting results that I will show you now so Google this is just

Early SEO Results (Google Search Console)

the data from Google search, so this is not our website data, it's just what

Google brought to us.

Google brought to us 1067 strangers, 71 % search for

non -branded content, the peak day, I know it's not much, but was 45 research that

led to clicks into our web page, and our growth since

beginning since beginning of February is around 15 X the interest and interesting

signal here it's not the numbers we are just at the beginning usually SEO takes

years to build but usually most of the three months old startups get 80 %

branded traffic it means like the people are looking just for the specific

branded name in my case wrapping and usually these are friends investor

store, family and whatever.

Instead with RAP and with our startup we flipped the

ratio.

We got 71 % of non -branded clicks and only 29 % of branded clicks.

So how do we earn this click?

Basically in short by answering questions and here

I will show you a very quick demo as well.

What Changed in SEO Since LLMs and AI Search

So let me first explain what

change in the SEO game since AI is out.

Before, as you can see on the left, in

order to rank on the first page of Google you need to be a very established

brand and work on the SEO for several years, invest a lot of money in sponsor

content and so on, right?

Nowadays you need to answer questions.

It's easy as

that.

If you bring value to Google, Google is built to answer questions from people.

If you bring value to Google and to the users in general, to the people, Google will pick you up

to be the answer actually, right?

So

why this has changed?

Because

since ChatGPT launched the web research directly from the chatbot,

basically

the LLMs are accounting for a bigger and bigger part of all the global research.

so google had to adapt as well and as well you have ai search in google you have a short snip

at the beginning of of the page with ai and you have as well gemini so let me quickly show you

Workflow Demo: From Search Data to 4-Language Articles

actually how do we work with seo so for example here we have created um an article on one of

of Costco retail is called Allegro here in Switzerland.

And this is just one of the articles we wrote.

And we have an agent, of course, trained

for this with all our data and all our strategy.

And as well, while building the article,

the agent has all this data.

That's the most important part of the strategy.

Don't make the agent guess exactly

like these meta title titles metadata and so on okay you don't need to make it

guess you just need to give all the data you can get in order for the agent to

pick the right words and the right meta description in order to rank faster on

Google so as you can see here we just I'm just showing my Google search

results and here you can see of course more than 1 ,000 researches with all

different keywords you can see as well the pages who perform the best and you

have this button here export on top of the page you just click that you do the

same for being webmaster take seconds download you download all the data about

your SEO you paste in your agent and your agent actually build you the

article in our case we have the up in four different languages so this is

built in all four different languages once this is done I just copy paste copy

paste to Visual Studio code with cloud code and here how it looks like of

course he knows what to do is connected to our web page code and you just link

an image because I want an image in my blog and you can link this document we

just produced and voila like this you have four different pages in four

different languages that are optimized for your SEO ranking was very easy right

so basically we thanks to this strategy we we managed to grow very fast just to

put everything in perspective we start in February we have 1 ,000 clickers of

of now just in the last 28 days we got 700 clicks so this stuff is working as

of now for us and that's why I wanted to share with you and I want to keep to

What AI Changes About Competition and Team Size

finish my presentation citing two very influential voices in the AI world the

first is the CEO of Microsoft Satya Nadella and I will cite him now unless

your rate of change keeps up keeps up with what is possible you are going to

to get schooled by someone small,

being able to achieve scale because of these tools.

These are dedicated to my competitors,

but there is a very interesting thought about this.

We are three people, me and two technical founders,

that we are all working our jobs.

We are all three part -times.

And what we built is a very compelling product

that is competing with our competitor in Switzerland

that have more than 100 employees here in Zurich and just of course we don't

have their budget we don't have their team we don't have their history of seven

plus years in the market but what do we have here we have a three people team

that built a product with more features than them better than them in my opinion

this you will judge as well and actually we can offer to the partners and to the

potential clients and users, a better product for less.

We need to pay just three people,

we don't need to pay 100, right?

So that's where the competition is going.

Two Perspectives: Scale and Business Transformation

And connected to this,

I will continue with a second citation about Eric Kutcher, that is a chairman from McKinsey.

This is the most complex business transformation we have seen.

But it's 80 % business transformation

and 20 % tech transformation CEOs who sit and wait their companies aren't going to

exist I know it sounds like very bad read like this but he doesn't mean your

company is gonna get destroyed he means your company is gonna get

destruct destruct so how I was doing before the example about the SEO between

between CharGPT, OpenAI, and Google, as you can see, Google business model was always the search, right?

CharGPT entered in a market that was almost a monopoly, right, from Google.

And what happened, Google had to change its whole business in order to compete with CharGPT

because AI changed the game, totally.

It was not only about tech, it was about product and what the product can offer.

and this is true that now you can basically build products that even one

year ago you couldn't build and I want to finish my speech saying that if a

small team build an app in few months with four languages and tens of

thousands of offers with AI in every workflow this stuff was not possible 12

months ago okay and who knows if in 12 months will be still possible to compete

because the people who will start today of course would be ahead of the curve

and even six months ago if you think about cloud code was not so good

everything was not so good that you can delegate even like full tasks like to

Conclusion: Identify Disruption and Adapt Fast

agents right so my final message here is if you have a business or you work for a

business or you are building any kind of business the first fault you need to

to have once you get home is, how is my business

getting disrupted?

Which features are now possible that were not possible before?

That's the first.

And second, you need to adapt fast.

Otherwise, some small team like mine

will pick up these small features

and going to compete with you.

And the competition gets very fast nowadays.

So thank you very much for your attention.

If you have any question, I'm here for minutes,

minutes or we can hang out later and i'm happy to talk with all of you thank you very much