Be the brand names
Your buyers ask AI — in Hindi, English, Hinglish. It names one brand. Perceptivity makes sure it's yours.
Free · 60 seconds · scanned across India's languages, live
Buyers don't compare anymore. They ask.
One question, one answer, one recommendation. If your brand isn't in the answer, the buyer never finds you.
They compared
Your buyer opened a dozen tabs, read the reviews, built a shortlist. You were in plain sight — and could earn your place.
AI decides
Your buyer asks one question and trusts one answer. If it doesn't name you, you're off the list — and you never see it happen.
A third of category research now starts with AI. Brands that aren't recommended get left behind.
You can't see it happen. Your buyers can.
Every day, AI tells your buyers which brand to pick. You don't get a report. You just lose the sale. Here's what that looks like:
One platform for AI visibility.
See what AI says about your brand. Understand why. Change it.
Monitor
See how AI represents your brand — every major engine, region and language.
Diagnose
See the sources, citations and claims behind every answer. Know why you're named — or missed.
Shape
Fix what's wrong, fill what's missing, and watch the answer change.
Four steps, every quarter.
Forecast each move, make it, measure the lift. Numbers your board can read.
See what AI says today
Every engine, every buyer question, every claim — in one view.
Model the move first
Rank each move by expected leverage before you spend.
One priority queue
One list for your team, agencies and partners — with owners and deadlines.
Prove what moved
Predicted vs actual lift after every action.
starts with AI
tracked
for the board, each quarter
Coverage depth varies by engine · retail-AI surfaces in expanded rollout
Built on two engines.
A query model tuned to how India asks, and a living map of your brand's reputation in AI.
8,000+ India-tuned query profiles.
We model how India actually asks — by language, city tier, income band, price sensitivity, voice vs typed — so the answers we track reflect your real buyer's question, not a generic English prompt.
- Track perception across the queries your segments ask
- Plan against the question patterns that convert
- Act where it moves your priority segment
A living map of how AI sees you.
Every source, competitor and claim shaping your brand in AI — connected in one graph. Fix the right node, and the answer moves.
- Every citation, rival and claim, linked
- Pinpoint the source distorting your answer
- Fix one node, shift the answer at scale
The loop, working.
See the answer AI gives today. Model what a campaign will change before you spend a rupee. Then ground AI in your own truth, so it quotes you instead of guessing.
See who AI names first.
Every buyer question, every engine, every morning. You wake up to who got named, who got cited, and what changed overnight.
Illustrative · your category · model outputs, not a live query
Model the move before you make it.
Name the move — a comparison article, a PR placement, a pricing fix. We model its expected direction and relative magnitude per engine, so you spend on the highest-leverage action first. The model sharpens as your measured cycles accumulate.
Illustrative · directional estimates, refined against measured outcomes each cycle
Don't just watch the answer. Author it.
We turn your canonical truth — pricing, approved claims, specs, positioning — into the machine-readable sources AI engines actually ingest: structured data, knowledge-graph corrections, authoritative placements. Engines stop guessing because the strongest source in the room is now yours.
↑ Toggle a source off to see what AI says when it can't read your truth.
Illustrative · grounding mechanic, not a live query
Indian consumers don't ask in english
They ask in Hindi, Tamil, Hinglish — often out loud, by voice — across a dozen languages. Most tools only watch the English web. We watch the answer in every language and voice your buyers actually use.
Eleven languages, not one
We read the AI answer in Hindi, Tamil, Bengali, Marathi, Telugu, Kannada and Hinglish — not the English web every other tool watches.
Most of India asks out loud
Voice and spoken AI search lead in regional languages. We track the answer your buyers hear, not just the one they read.
Modelled on how India buys
Code-mixed queries, tier-2 and tier-3 search, price-first questions — measured the way your real buyer actually asks.
Fix the sources India trusts
Models know Indian brands less well — so this is where they misname you. We map the publishers and creators they cite, so you know what to fix.
Every global tool watches the English web. We watch the languages, and voices, your market buys in.
Every quarter you wait, the gap is harder to close.
AI builds tomorrow's answers from the brands it already trusts today. The longer a rival owns the answer, the more it costs you to take it back.
The brand AI names today becomes the brand AI quotes tomorrow.
We've been on both sides of the answer.
Built by marketers who've carried the number, and engineers from the search and recommendation teams that decide which brand gets named.
We've sat in your seat
Marketers who briefed the agencies, carried the pipeline number and defended the brand budget.
We built the engines
Engineers from FAANG-scale search and recommendation teams — the systems that now choose which brand gets named.
We obsess over the answer
We reverse-engineer how models weigh sources, so your place in the answer is earned by design.
Machine Readable
A weekly brief on what AI is saying about brands — and what to do about it. Five minutes, every Tuesday.
Own
the answer
See what AI tells your buyers about your brand. A 30-minute walkthrough — your category already scanned.