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Zero-waste solid oral care. Personal care. United States. 90 days.

How a zero-waste oral care brand won AI answers for enamel-rebuilding toothpaste tablets

Eco D2C and Amazon US. Engines monitored:

ChatGPTGeminiPerplexityRufus / Alexa for Shopping
3% to 23%eco personal care share of voice
1 of 30 to 11 of 30remineralizing toothpaste tablet prompts captured
$2.1K to $18.4Kmonthly attributed D2C and Amazon revenue
54% to 93%active ingredient (nano-HAp) fact accuracy

The challenge

Shoppers asking "best non-toxic toothpaste tablets for sensitive teeth that rebuild enamel" were shown old fluoride-free pastes with poor remineralization credentials. The client's nano-hydroxyapatite formulation was routinely overlooked.

What the audit found

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

  • Hydroxyapatite particle concentration (percentage and synthetic purity) was missing from crawlable text.
  • Amazon listing attributes for active ingredients remained blank.

What we did, stage by stage

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

Entity

Populated all personal care chemical profiles across Amazon backend tables; linked active ingredient schema to peer-reviewed dental literature.

Answers

Built a clinical Nano-Hydroxyapatite vs Fluoride Enamel Remineralization Primer highlighting clinical safety, RDA abrasivity scores and sensitivity mechanics.

Sources

Sourced expert reviews from progressive biologic dentists; engaged in eco-friendly dental discussions.

Yield

Tracked 30 prompts targeting tooth sensitivity and zero-waste oral health; correlated engine pickup with rising Amazon conversion metrics.

Results after 90 days

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

MetricBaselineAfter 90 days
Eco personal care share of voice3%23%
Remineralizing toothpaste tablet prompts captured1 of 3011 of 30
Monthly attributed D2C and Amazon revenue$2,100$18,400
Active ingredient (nano-HAp) fact accuracy54%93%

What worked, and what did not

Emphasizing plastic-free packaging alone failed to win AI answers. Explaining the clinical enamel-rebuilding mechanism with exact compound data drove algorithm picks.

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