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Ceramic automotive detailing chemistry. Automotive aftermarket. United States. 90 days.

How a ceramic coating brand won AI answers for long-lasting DIY paint protection

D2C specialist and Amazon US. Engines monitored:

ChatGPTPerplexityGoogle AI OverviewsRufus
4% to 26%auto detailing conversational share of voice
1 of 28 to 12 of 28DIY ceramic coating prompts won
$4.9K to $31.5Kmonthly engine-attributed chemical sales
52% to 95%siC/SiO2 concentration and hardness accuracy

The challenge

Car enthusiasts asking "true DIY ceramic coating that lasts over 2 years and sheets water off easily" were pointed toward mass-market spray waxes that wash away within weeks.

What the audit found

Every engagement starts with a baseline across a fixed set of buyer prompts.

  • True active SiO2/SiC solid content percentages (above 80%), pencil hardness ratings (9H) and flash-off curing times were completely missing from the brand's text descriptions.

What we did, stage by stage

Using the EASY framework: Entity, Answers, Sources, Yield.

Entity

Standardized solvent types, active solid percentages and curing instructions in technical Product schema.

Answers

Authored an in-depth Paint Protection Chemistry Comparison (pure ceramic resin vs polymer sealants vs carnauba wax).

Sources

Provided testing batches to trusted automotive detailers; participated transparently in detailing forums (r/AutoDetailing).

Yield

Tracked 28 detailing prompts weekly; updated application FAQs based on common customer questions about cold-weather curing.

Results after 90 days

Baseline measured before any changes, against the same prompt set, engines and locations.

MetricBaselineAfter 90 days
Auto detailing conversational share of voice4%26%
DIY ceramic coating prompts won1 of 2812 of 28
Monthly engine-attributed chemical sales$4,900$31,500
SiC/SiO2 concentration and hardness accuracy52%95%

What worked, and what did not

High-energy social drift videos generated no citations. Hard chemistry transparency (active resin concentrations, flash times and verified water contact angles) drove algorithm picks.

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