Key results at a glance:
- AuraScore grew 620% — from 1.65 to 11.88
- AI coverage expanded from 2.9% to 24.4% of tracked answers
- Present in 30 of 123 AI answers, up from 3 of 105
- Ranked #2 on Gemini across the entire EV category, ahead of Ather Energy
- 40+ AEO articles live or ready to publish, targeting 41 real buyer queries
- 88 site health issues surfaced across 12 audits to clear the path for AI crawlers
The problem: customers were searching, Ampere wasn't there
Today's buyers do not just search Google before making a purchase. They ask AI. "Which electric scooter should I buy?" "What is the best budget EV under one lakh?" "Which brand has the best service network?" These questions are typed into ChatGPT, Perplexity, and Gemini every single day by exactly the kind of customers Ampere wants to reach.
When we first measured Ampere's presence across those conversations, the result was stark. Out of 105 AI answers to real buyer questions, Ampere appeared in just 3. That is a 2.9% presence rate. Their AuraScore — our measure of how prominently a brand shows up in AI responses — sat at 1.65 out of 100.
For every 34 customers asking AI about electric scooters in India, 33 of them were getting answers that did not mention Ampere at all.
Where Ampere stood on 2 March 2026
- AuraScore: 1.65
- AI coverage: 2.9%
- Answers with presence: 3 of 105
- Average answer score: 0.016
Where Ampere stands on 27 May 2026
- AuraScore: 11.88
- AI coverage: 24.4%
- Answers with presence: 30 of 123
- Average answer score: 0.091
What the numbers mean for Ampere's customers. In three months, Ampere went from appearing in 1 out of every 34 AI conversations about electric scooters to 1 in every 4. That is 7x more customers who now see Ampere when they ask AI for a recommendation. In a market where the AI answer often decides the shortlist, this is the difference between being considered and being invisible.
Where Ampere's customers are asking — and where Ampere now shows up
Ampere's buyers are spread across three major AI platforms, each with its own behaviour and citation patterns. We track all three simultaneously, so no customer conversation goes unmeasured. On Gemini, Ampere has already broken into second place across the entire EV category, ahead of Ather Energy.
How Ampere ranks against the field
| Brand | AuraScore | Share of Voice |
|---|---|---|
| TVS | 21.1 | 30.7% |
| Ather Energy | 20.2 | 26.0% |
| Bajaj Auto | 14.4 | 8.8% |
| Ampere | 11.9 | 14.8% |
| Vida (Hero) | 10.7 | 10.1% |
| Ola Electric | 9.0 | 7.0% |
Worth noting. Ampere's 14.8% share of voice means that when AI does recommend Ampere to a customer, it does so with weight, not just a passing mention. That is a stronger signal than a brand that appears often but briefly. The goal now is to appear more often, not just more prominently.
How we got Ampere in front of those customers
The core of what we do is simple: figure out exactly what your customers are asking AI, and make sure your brand is part of the answer. For Ampere, that started with identifying 41 real buyer questions being asked across ChatGPT, Perplexity, and Gemini every day. Questions like "best budget electric scooter in India" and "which EV has the lowest running cost per km."
We then created 40+ AI Engine Optimised (AEO) articles, each built specifically to answer one of those questions in the format AI engines prefer to cite. Not generic blog content — structured, precise answers written to get Ampere recommended. This is how you earn a seat in the AI conversation.
A sample of the articles we shipped
- Ampere Electric Scooters in India: Complete 2026 Lineup, Prices, Range and Key Features — Product guide · 2,191 words · Brand-specific
- LFP vs NMC Batteries for Electric Scooters: The Ultimate Guide — Technical guide · 1,956 words · Category authority
- Electric Scooter vs Ola/Uber Cost Per Month: The 2026 Winner — Comparison · 1,783 words · Buyer intent
- Best Electric Scooter for Bangalore Traffic: 2026 Commuter's Guide — Local guide · 1,752 words · Geo-specific
- Top 10 Reasons Ampere Leads the Future of Electric Vehicles in India — Ranked list · 1,725 words · Brand authority
- Smart Electric Scooter Features Decoded: Ampere AI Buddy Explained — Product explainer · 1,859 words · Feature spotlight
- 34 more articles covering battery tech, sustainability, city commutes, buying guides and more — all ready to publish
The exact questions Ampere's customers are asking
We track 41 buyer queries across all three AI engines — the same questions real customers type in when they are deciding which scooter to buy. Here is where Ampere is winning that conversation, and where the opportunity still remains.
Where Ampere is already dominant
- "Does Ampere have scooters for daily commuting?" — 73.1 (dominant)
- "Best Ampere scooter to buy?" — 66.7 (strong)
- "Best budget electric scooter in India this year" — 47.7 (strong)
Where Ampere is growing fast
- "Electric scooter price vs running cost per km" — 40.4 (+7.1)
- "Which EV scooter is most sustainable in India?" — 23.3 (new entrant)
- "Which electric scooter battery is easiest to maintain?" — 20.3 (new entrant)
Where the next gain comes from
- "Most reliable electric scooter brand in India" — 0 (gap to close)
- "Which EV brand is most trusted by Indian commuters?" — 0 (gap to close)
The honest picture. When a customer asks AI "which electric scooter is most reliable" or "which EV brand do Indian commuters trust most," Ampere is not in that answer yet. These are high-intent, purchase-ready queries where Ather and TVS currently take the recommendation. Winning these prompts is where the next wave of customer reach comes from.
How we got Ampere there: the journey
Early 2026 — Diagnosis: first, we found out exactly where Ampere was missing
We ran Ampere's first visibility scan across ChatGPT, Perplexity, and Gemini. The result confirmed the gap: present in just 3 out of 105 AI answers. We mapped out 41 specific buyer questions that Ampere's target customers were already asking AI, identified where competitors like TVS, Ather, Bajaj, Ola, and Vida were already showing up, and built a clear picture of exactly which conversations Ampere was losing.
March – April 2026 — Execution: then, we put Ampere into those conversations
This is where our full platform went to work. The mission was singular: get Ampere recommended by AI when its customers come looking. Every action taken was in service of that goal.
How we made it happen:
- 40+ AEO articles answering real buyer questions
- Prompt research to find every query customers ask
- Weekly scans across ChatGPT, Perplexity and Gemini
- Citation tracking to see who AI trusts as a source
- Competitor monitoring to track share of AI recommendations
- Brand persona profiling so AI describes Ampere consistently
- Site health fixes so AI engines can read and trust the site
- Sitemap scan to surface all 57 indexable pages
- AuraScore tracked every run to measure customer reach
Every scan fed intelligence back into the next piece of content. Every citation gap pointed to a new article. The strategy tightened run by run, and Ampere's presence in customer conversations grew steadily through April.
May 2026 — Results: Ampere is now in 1 out of every 4 AI conversations
By May, Ampere was present in 30 of 123 tracked AI answers. On Gemini, where a significant share of Ampere's customers are searching, the brand now ranks second across all EV competitors, ahead of Ather Energy. When a customer asks "does Ampere have scooters for daily commuting," AI now answers with a score of 73.1 out of 100. When they ask "best Ampere scooter to buy," the score is 66.7. Ampere has gone from absent to recommended.
Removing the barriers between Ampere and its customers
AI engines are picky about which brands they recommend. A site with slow pages, broken structure, or missing metadata sends a trust signal that quietly kills visibility. Before customers could find Ampere through AI, the site itself needed to be readable and credible to AI crawlers. We ran 12 site health audits across Ampere's domain and surfaced exactly what was getting in the way.
Why this matters for customer reach. Every page AI cannot read is a page that cannot get Ampere recommended. Fixing these issues does not just improve site performance, it directly expands the number of customer conversations Ampere can show up in. Clean site, more citations, more customers reached.
What comes next: reaching even more customers
Ampere is now in the conversation. The next phase is about owning it — from being recommended to being the first recommendation.
- Reach customers searching for "most trusted." Customers asking "which EV brand is most reliable" and "most trusted by Indian commuters" are the highest-intent buyers in the category. Ampere is not in those answers yet. Content built around service network, after-sales, and owner stories will put it there.
- Reach more customers on ChatGPT and Perplexity. Ampere's customers are asking questions on all three platforms. Gemini is strong at 17.2, but ChatGPT and Perplexity are where a large share of buyers search. Each platform cites differently and we optimise for each one.
- Fix the 12 issues blocking AI access. Every critical or high-priority site issue is a door AI cannot open. Resolving all 12 flags will expand how deeply AI engines index Ampere's domain, directly increasing the number of customer queries Ampere can appear in.
- Win the "which EV should I buy" shortlist. When customers ask AI "which EV 2-wheeler should I buy, give me a list," Ampere's visibility has dropped to zero. These are bottom-of-funnel, ready-to-purchase moments. Getting onto that list is one of the most direct routes to new customers.
Why this matters for brands
AI platforms are rapidly becoming where purchase decisions begin. Consumers now use AI to compare products, evaluate trust, and decide which option best fits their needs — before they ever visit a website or showroom.
As seen in the Ampere analysis, Indian EV buyers are already using AI to:
- Compare scooters by range, price, and running cost
- Evaluate which brand has the most reliable service network
- Decide which model fits their daily commute
Brands that appear in those AI answers make the shortlist. Brands that don't risk losing the customer before the buying journey even properly begins.
