about us
AI-native marketing studio • Chennai, working globally
Your brand has two
audiences now.
Only one of them is human
.
One has to remember you. The other has to describe you accurately to someone who just asked about your category. Most brands are built for the first and illegible to the second.
what changed
three things broke
at the same time.
Marketing used to be a funnel of impressions. It’s now a retrieval system — something has to find you, understand you and repeat you before a person ever sees you.
None of what follows is a forecast. It has already happened, and most marketing systems were built before it.
01
Discovery stopped being a ranking problem.
Most searches now end without anyone clicking anything. The share has climbed faster in the last two years than in the decade before it, and organic search has fallen to a smaller share of web traffic than at any point since it became a channel worth naming.
What’s replacing it is still small. But the people who arrive from an AI assistant convert at or near the level of the best channel a brand has, they stay longer, and the line is bending upward fast. The traffic you were optimised for is shrinking. The traffic replacing it is high-intent and takes months to earn.
02
Content cost collapsed, so content stopped being the difference.
The largest advertisers in the world are now publishing production timelines measured in weeks where they used to be measured in seasons, at a fraction of the cost.
But look at how a single generated film actually gets made: thousands of options produced, a handful used. The cost didn’t disappear. It moved — out of the shoot and into the choosing. Making things is no longer the hard part.
03
Attribution died, and causality became the currency.
The deadline everyone was preparing for got cancelled. The measurement problem it was supposed to cause arrived anyway, through consent, through platform changes, through people simply opting out.
So the industry re-platformed onto modelling and experiments. Most marketing teams now run tests. Far fewer have ever changed a budget because of one. Meanwhile the budget itself hasn’t grown, and every rupee in it has to be defended.
the reality
And the machine audience isn’t one reader. It’s three: a model that has to describe you, an agent that has to transact with you, and a CFO who has to approve the spend on the strength of a number.
Legibility to all four is the job.
what we do
five capabilities.
one spine. one way in.
We built this around what’s broken, not around what we own. Every capability answers a question brands are now being asked and mostly can’t answer.
01
Strategy & AI Operating Model
Most brands don’t have an AI problem. They have an operating-model problem that AI made visible.
02
Brand & Machine Identity
Machines describe you whether or not you’ve told them how.
03
Machine Demand
Getting found is a retrieval problem. Getting bought is a data problem.
04
Content Supply Chain
Generating is free. Choosing is the job.
05
Growth Intelligence
Attribution tells you what got credit. We tell you what caused it.
trust, rights & governance
Everything we make can be traced, disclosed and defended. Provenance on generated assets. A record of what a human decided. Consent architecture built for the enforcement dates that are actually coming.
It’s in every engagement, because within a year or two it won’t be optional.
how we work
diagnose. build.
operate.
Three ways in, in the order most people need them. You can stop after any of them.
01
Diagnostic
Two to three weeks • fixed fee
Five dimensions scored against the conditions you’re actually operating in: machine legibility, content system, measurement integrity, agent readiness, governance exposure.
You get a scored index, the three things we’d fix first, and what each one costs. Every input is evidence you own and can check yourself. Credited against a Build engagement if you go ahead within ninety days.
02
Build
Defined scope • defined price • defined date
We build the thing. A dual identity. A visibility programme. A brand model. A measurement architecture. A consent foundation.
You own the output — the brand model, the reference sets, the audience definitions, the data. That’s in the contract, not in the sales conversation.
03
Operate
Ongoing • priced on the system
We run it with you. A standing experiment cadence. A live command centre instead of a monthly deck. A causal read you can take to a board.
transparency
We publish our engagement shapes and we quote in writing before we start. Very few studios in this market do.
We think that’s a strange way to ask for trust.
how we work with evidence
what we’ll tell you,
and what we won’t.
This category is full of promises the evidence doesn’t support. We’d rather be clear upfront about where the certainty ends — partly because it’s honest, and partly because it tells you what to ask everybody else.
01
On ranking in AI assistants.
There is no stable ranking to be first in. Ask the same question twice and you’ll often get a different set of brands back, in a different order. So we don’t promise a position. We measure how often you appear across a defined set of questions, asked many times over, and we report it as a trend with its variation shown.
02
On the files everyone tells you to add.
Some of the technical add-ons being sold as a route into AI answers are barely read by anything. We’ll still put them in place where they’re cheap and useful. We won’t bill them as a visibility programme.
03
On structured data.
It’s valuable — for disambiguation, for classic search results, for making a page parseable. It is not a lever that gets you cited. We use it for what it does and we say which is which.
04
On guaranteed traffic from AI.
That channel is still a sliver of the web. Nobody can guarantee volume from it yet. What we can do is make sure you’re eligible for it when it grows, which takes long enough that starting late is the expensive option.
05
On cause and effect.
Sometimes we can prove a change caused a result. Often we can’t, and we’ll say which. Our reports come with ranges, not single numbers pretending to be facts.
06
On rewriting everything for machines.
You don’t need a separate version of your site for AI, and you don’t need your content chopped into fragments. What helps is clearer writing and cleaner structure, which you should want anyway.
07
On search being dead.
It isn’t. The AI features everyone is chasing run on the same underlying systems that rank pages. The fundamentals matter more now, not less.
proof
we’re running this on ourselves, in public.
Ask an AI assistant about AI-native marketing studios in Chennai and, when we started, it had nothing to retrieve about us. No listing. No mention. No citation.
That’s an awkward fact for a studio that sells AI visibility, so we’re treating it as the first case study. We published the baseline before we changed anything. We published the method in full. We publish the results every quarter, including the parts that didn’t work.
Live Case Study Telemetry
Public Audit
Baseline
Day Zero
Initial Position
Zero Citations
Methodology
Fully Disclosed
Cadence
Quarterly Audit
heritage
Built with Adyog — years of software, design and advisory work across India and the UK, delivering engineered digital systems for high-growth global brands.
team
AJAY LAKSHMAN A
SANJEEV SHIVA A
Contact
Tell us what
isn’t working.
The more specific you are, the more useful our first reply will be. If we’re not the right people for it, we’ll say so and point you somewhere better.
Direct email
hello@80mm.studioGot it.
We’ll come back to you within two working days, usually with a question rather than a pitch.