Who Wins the E-Bike Category Inside AI Answers? We Scraped the Whole Track with GEOly

Hi, I’m Riven.

More and more people shopping for an e-bike don’t open Google first — they ask ChatGPT: “recommend some e-bikes for commuting,” “which folding e-bike is best.” So the question is: inside AI answers, who actually wins the e-bike category? What do they cost? And whom does the AI listen to?

This time we used our own product, GEOly AI, to scrape the entire e-bike track’s AI data: 14 sub-categories, ~115 topics, 1.65M monthly AI queries, 1,376 real prompts, 1,276 brands mentioned by AI. Here’s the first-party data.

1. How big is the track: 1.65M queries/month, 14 sub-categories

GEOly splits e-bikes into 14 sub-categories totaling ~1.65M AI queries/month — one of the largest mobility-hardware tracks in AI shopping.

The broad parent term (Electric Bikes) takes nearly half the volume; beyond it, Off-Road and Moped-Style are the two biggest sub-segments (~450K/mo combined) — high-performance / off-road demand is rising. Commuter / cruiser / road are the urban-mobility core.

2. Who wins GEO: Lectric leads, the DTC value army dominates

The key chart — which brands get mentioned most in ChatGPT answers (records = de-duplicated answers = the SoM numerator):

Three findings:

1. The US DTC value army dominates the answer layer: Lectric (covers all 115 topics), Aventon, Velotric, Ride1Up, Himiway… value-for-money + direct-to-consumer pushes legacy brands down.
2. Component brands made it to the table too: Bosch, Shimano (plus Brose, Bafang) recur — AI treats “motor/drivetrain” as its own cognitive dimension, a quirk unique to e-bikes.
3. “Mentioned often” ≠ “cited as authority”: by direct (verbatim) quotes, it’s Aventon(716) > Ride1Up(458) > Specialized(385) > Lectric(367). Lectric spreads widest, but Aventon and Ride1Up get quoted as authority more — the gap the leader must close.

3. What they cost: median $1,221, 70% under $1,500

We pulled 1,842 priced records from AI shopping cards for the e-bike price distribution:

Median $1,221, average $1,423, 70% of bikes under $1,500, with the core band at $800–1,500; premium ($2,500+) is only 12%. That lines up perfectly with Lectric ($1k) leading the answer layer — in the AI-shopping context, e-bikes are a “mid-to-low price, volume” track. Going premium takes brand + authoritative sources, not volume.

4. Whom AI listens to: Reddit is the lifeline, high-direct media are PR targets

An AI answer is essentially built from the sources it cites. Here’s whom AI cites in e-bikes:

• Reddit is the absolute base: cited 6,547 times, 99% verbatim, across all 115 topics. Real reviews and comparisons in r/ebikes get carried into answers almost word-for-word. Skip Reddit and you hand your AI perception to strangers.
• High-direct mainstream media = where PR pays off most: Wired(91%), Tom’s Guide(66%), Bicycling(62%), Cyclingnews(56%) — broad and quoted verbatim; review units + “Best e-bike 2026” listicles have the best ROI.
• E-bike vertical review sites (electricbikereview / ebikeexplorer…) are broad but low-direct (20–36%): listed more than quoted — good for coverage breadth.

5. Who buys ChatGPT ads: Lectric tops both boards; legacy brands absent

Finally the paid side — who’s already running e-bike ads (GEM) inside ChatGPT answers:

• Lectric tops both boards: #1 in answers and #1 in ads (857 cards, all 115 topics) — the complete “recommended by AI AND buying the ad slot” playbook.
• Used-bike marketplace Upway is in too, plus retailer SCHEELS and veteran maker Worksman;
• Legacy brands (Trek/Specialized) barely buy GEM ads — leaving DTC brands a paid-shelf window.
• ⚠️ There’s also semantic-spillover noise (Zenni eyewear, AllTrails, Bark) — watch brand safety when buying.

6. Five takeaways for e-bike / cross-border sellers

1. GEO is the main battlefield; Reddit is the lifeline — real community reviews + negative correction are the highest-ROI moves.
2. Aim PR at high-direct media — review units at Wired / Tom’s Guide / Bicycling and Best-of lists directly shape AI’s conclusion.
3. Pick your price band — the core is $800–1,500 on value; premium needs brand + authority.
4. The GEM ad window is still open — legacy brands are absent from paid; DTC can grab sponsored slots on high-intent topics (folding/fast/commuter/off-road), like Lectric.
5. Write content to be “quotable verbatim” — answer-first + real test data + comparison tables to move from “listed” to “cited.”

Closing

Every number here comes from GEOly AI’s continuous ChatGPT monitoring — tracking organic mentions, ad cards, citation sources and shopping-card prices by category, topic and brand. In the Google era we did SEO + SEM; in the AI-answer era, GEO + GEM is the new default.

Want your own category’s landscape inside AI answers? Run it at GEOly AI. Follow Riven and GEOly AI — we’ll keep scraping more tracks.

— Riven & the GEOly AI team

Data note: GEOly public monitoring data (US · ChatGPT · 2026-06); competition is answer-layer records, prices are AI shopping-card data; reflects user-visible signals, not platform official data.