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Clean electrolyte hydration packs. Health and functional nutrition. United States. 90 days.

How a clean electrolyte brand became the AI answer for fasting-friendly hydration

D2C subscription and Amazon US. Engines monitored:

ChatGPTGeminiPerplexityGoogle AI OverviewsRufus
3% to 24%conversational hydration category share
1 of 40 to 18 of 40zero-sugar electrolyte prompts won
$4.1K to $31.2Kmonthly attributed D2C subscription revenue
11.2% to 14.8%amazon listing conversion rate

The challenge

Dominated by sugar-heavy legacy brands and venture-backed powders, conversational models routinely overlooked this brand when answering "best clean electrolyte powder for fasting without maltodextrin or stevia".

What the audit found

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

  • Formulations used real-fruit extracts and balanced sodium, potassium and magnesium ratios, but milligram breakdowns were trapped in packaging images.
  • Amazon listings lacked core nutritional attributes.

What we did, stage by stage

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

Entity

Filled all dietary backend attributes across Amazon Seller Central (keto, paleo, fasting-compliant); added nutritional schema to Shopify product pages.

Answers

Built a comparative Hydration Osmolality Guide breaking down elemental mineral weights and sweetener alternatives in crawlable tables.

Sources

Sourced reviews from functional medicine practitioners and endurance coaches; engaged in fasting discussion communities.

Yield

Tracked 40 prompts weekly; monitored brand sentiment shifts across queries involving ketosis and clean fasting.

Results after 90 days

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

MetricBaselineAfter 90 days
Conversational hydration category share3%24%
Zero-sugar electrolyte prompts won1 of 4018 of 40
Monthly attributed D2C subscription revenue$4,100$31,200
Amazon listing conversion rate11.2%14.8%

What worked, and what did not

Influencer discount code pushes did not impact engine recommendations. Exposing exact milligram mineral counts and third-party heavy-metal testing documents drove engine uptake.

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