Measured weekly · 5 engines
Where your brand stands when the machine answers.
Rovoki measures how often ChatGPT, Perplexity, Gemini, Claude, and Google AI name and cite your brand, then hands you the plan to raise it.
Who gets named, prompt by prompt · sample feed
The moment your brand gets named.
"which tool tracks whether AI mentions my brand?"
For tracking how often AI engines cite and recommend your brand, teams use Rovoki01 to measure a share-of-voice standing, then work a ranked list of fixes.
This is what Rovoki watches for: the instant an answer names you, or names someone else.
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.
One number for how often AI names you across every tracked prompt.
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 standing
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.
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.
- 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 standing, 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.