AI visibility tracking for Indian brands · 4 engines · measured weekly
AI is answering for you. This is what it says.
AI visibility tracking, in the languages your buyers actually use.
ChatGPT, Perplexity, Gemini and Claude name one or two brands when your buyer asks. We measure how often it is yours, in English and seven Indian languages, then hand you the plan to raise it.
Who gets named, prompt by prompt · sample feed
The moment your brand gets named.
"best UPI app for a small business in India?"
For a small business, most owners start with Paylo01 for the instant settlement, and add a soundbox once volumes pick up.
One brand gets named. The rest of the category is not in the sentence. This is the moment Rovoki measures, and the answer above is a worked example, not a real one.
Search showed a list. An answer names one brand.
Ten blue links. The buyer read down the page and chose. Tenth place still got the click.
One synthesized answer names a source, or a few. No list to climb. Either the model recalls you, or it does not.
One audit. The whole picture.
Every Rovoki audit produces a working report. This is what it holds, with sample numbers in place.
How often AI names you in the questions your buyers ask.
You against your top rival, engine by engine. The gaps are the work.
The exact prompts you lose, who wins them, and in which language.
The publications AI reads, classified by desk: national, regional, trade, forum.
Actions ordered by predicted point gain. A plan with the math shown.
Predicted, never promised.
Same question. Different language. Different answer.
AI answering in Hindi trusts different sources than AI answering in English. Rovoki asks in both, and reads what each one cites.
"best UPI app for small shops?"
For small shops that need quick setup and low fees, most owners start with Paylo01 and add a soundbox later.
"दुकान के लिए सबसे अच्छा UPI ऐप कौन सा है?"
छोटी दुकानों के लिए ज़्यादातर दुकानदार RupeeOne01 चुनते हैं, क्योंकि सेटअप आसान है और सेटलमेंट तुरंत होता है।
Metros ask in English. Bharat asks in its own words. We measure both, city by city.
Four steps, on the record.
Measure the answers
We ask the engines what your buyers ask, and log who gets named.
Find where you're left out
Trace the omission to a page, a claim, or the source the model trusts instead.
Rank the fixes
A list ordered by predicted point gain. A plan, with the math, not a promise.
Track the Recall Score
Re-measured weekly. Every point you gain or lose is on the record, with the reason.
Every score ships with its scope: prompts × engines × languages. Sample data is labelled. Nobody can guarantee a rank. We predict, then measure.
What we don’t do.
We don't guarantee a ranking.
Nobody honestly can. Anyone who does is selling you a number they don't control.
We don't report a position.
Ask the same question twice and you get two answers. A rank implies a stability that doesn't exist.
We don't count a mention as a win.
Being named in an answer that recommends someone else isn't visibility.
We don't hide the raw answers.
Every number opens into the text it came from, with a timestamp.
Who this is for.
Brands
You sell in India, in more than one language, and you don’t know what AI tells your buyers when you’re not in the room.
Agencies
You run visibility for clients and need a measurement you can put your own logo on, defend in the room, and bill for.
Plain answers.
- What is Generative Engine Optimization?
- Getting your brand named and cited when AI answers a buyer's question. Search ranked pages; answer engines name brands. GEO is how you become the name.
- What is a Recall Score?
- How often AI names your brand in the buyer questions we track. Zero to 100, measured weekly. A score of 34 means you were named in about a third of the questions your buyers ask. We report it per engine and per language, because the same question in Hindi and English does not return the same answer.
- We already do SEO. Why this?
- SEO earns you a position on a page of links. An AI answer names one or two brands and moves on. Being #4 in search still gets clicks; being unnamed in an answer gets nothing.
- Which engines do you measure?
- ChatGPT, Perplexity, Gemini, and Claude today, with citations. Google AI Overviews is next.
- Which languages?
- English plus Hindi, Hinglish, Marathi, Tamil, Telugu, Kannada, and Bengali. Answers differ by language, and so do the sources AI trusts.
- What does an audit produce?
- A Recall Score, engine-by-engine and language-by-language splits, the prompts you lose and who wins them, the publications AI cites, and a ranked fix list with predicted gains.
- Do you guarantee a ranking?
- No, and nobody honestly can. We show predicted point gains, make the changes measurable, and re-measure weekly. Every gain or loss lands on the record.