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Reports/Vehicles & Parts/Vehicle Parts & Accessories/Fuel Additives

Category AI Visibility Report

Fuel Additives AI Visibility Report 2026: Top Brands & Buyer Topics in AI Search

Data updated 2026-08-27 · 30-day window · ChatGPT · Google AI Mode · Google AI Overviews

≈3,058

Est. AI queries / month

14

Buyer topics monitored

10

Brands on the AI shelf

Key insights

  • Over the last 30 days, GEOly monitored 14 buyer topics in Fuel Additives across ChatGPT, Google AI Mode, Google AI Overviews — an estimated 3,058 AI queries per month.
  • Gumout leads the AI shelf with 11.1% of brand mentions, followed by STA-BIL (10.6%) and Techron (8.5%). The top three hold 30.2% combined — a shelf that has not consolidated yet, leaving a clear window for challengers.
  • The highest-demand topic is “fuel additives for carbon build up” (top keyword “fuel additive for carbon build up”, ~1,000 searches/mo).
  • AI answers lean on reddit.com most (28.3% of citations) — earning presence on these sources is the shortest path to being recommended.

Brands AI recommends most

Share of brand mentions across AI answers in the last 30 days (Share of Model).

#BrandAI mentionsShare
1Gumout57511.1%
2STA-BIL55010.6%
3Techron4448.5%
4Chevron4268.2%
5Red Line4248.2%
6Star Tron2745.3%
7Sea Foam2665.1%
8Hot Shot's Secret2424.7%
9Opti-Lube2404.6%
10Lucas2354.5%

What shoppers ask AI

Buyer topics monitored in this category, with estimated monthly AI queries and the top Google keyword behind each topic.

TopicEst. AI queries / moTop keywordSearch volume / mo
fuel additives for carbon build up≈797fuel additive for carbon build up1,000
diesel fuel lubricity additives≈777lubricity additives for diesel fuel590
fuel additives for motorcycles≈749motorbike fuel additives260
fuel additives for marine engines≈735marine engine fuel additives480
winter fuel additives—winter diesel fuel additives2,400
fuel additives for small engines—fuel additives for small engines880
best fuel additives—additives fuel8,100
gasoline fuel additives—gasoline fuel additives5,400
fuel additives for ethanol gas—fuel additives for ethanol1,000
fuel system cleaner fuel additives—best fuel system cleaner22,200
diesel fuel additives—fuel additives diesel27,100
fuel additives for emissions test—fuel additives for catalytic converters2,900
fuel additives for bad gas—fuel stabilizer for bad gas1,000
fuel additives with pea—pea fuel injector cleaner3,600

Sources AI cites in this category

Root domains AI engines cited most when answering category queries in the last 30 days.

DomainCitationsShare
reddit.com23528.3%
epa.gov9611.6%
gumout.com455.4%
practical-sailor.com404.8%
starbrite.com374.5%
aaa.com354.2%
carcaretruth.com313.7%
briggsandstratton.com222.7%

Related category reports

AntifreezeAutomotive PaintsBackup CamerasBall JointsBoat AnchorsBoat CoversBoat MotorsBrake FluidsBrake PadsBrake Rotors

FAQ

Which brands do AI assistants recommend most for fuel additives?

Over the last 30 days the top brands by AI mention share are: Gumout (11.1%), STA-BIL (10.6%), Techron (8.5%), Chevron (8.2%), Red Line (8.2%). Data from GEOly's continuous monitoring across ChatGPT, Google AI Mode, Google AI Overviews.

How many people ask AI about fuel additives?

GEOly estimates ~3,058 AI queries per month in this category across 14 buyer topics, led by “fuel additives for carbon build up”.

Which sources do AI engines cite for fuel additives?

The most-cited domains are: reddit.com, epa.gov, gumout.com, practical-sailor.com, starbrite.com. Building brand presence on these sources is the most direct way to win AI recommendations.

Methodology

GEOly continuously runs category buyer prompts across ChatGPT, Google AI Mode, Google AI Overviews and records which brands are mentioned and which sources are cited. Figures aggregate a 30-day window; AI query volumes are modeled estimates from keyword demand and AI-adoption share. Data: GEOly MCP Server, updated 2026-08-27.

See your brand inside this category

GEOly tracks how ChatGPT, Google AI Mode and Google AI Overviews mention, rank and cite your brand against every competitor above — and what to fix to win the AI shelf.

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