What is LMNT's AI Visibility Score?

LMNT (drinklmnt.com) scores 70/100 on the IdeaLab AI Visibility OS v1.1 framework — Grade B, Citation Ready, entering the database as the first brand audit (BR-001). D5 Topical Authority (82/100) is the highest dimension — LMNT is the category-defining brand for 'zero sugar electrolytes' queries, reinforced by Huberman Lab, Peter Attia, and Tim Ferriss podcast sponsorships. D3 Entity Recognition (48/100) is the critical gap: no Wikipedia brand page, no Wikidata entry, no Organization JSON-LD on drinklmnt.com despite $200M+ in revenue.

Why does LMNT score well for topical authority despite being a consumer brand?

LMNT's D5 Topical Authority (82/100) is its strongest dimension because the brand has been associated with some of the most AI-indexed voices in health and biohacking: Andrew Huberman (Stanford neuroscientist, 5M+ YouTube subscribers, Huberman Lab podcast), Peter Attia (longevity physician, NYT #1 bestselling author, The Drive podcast), and Tim Ferriss (The Tim Ferriss Show). When AI systems are trained on transcripts, articles, and web content referencing these individuals, LMNT appears as the default electrolyte recommendation. science.drinklmnt.com further reinforces topical authority with long-form electrolyte science content. The keto and paleo communities — in which Robb Wolf is a named authority — also create strong AI training data association between LMNT and low-carb electrolyte needs.

What would improve LMNT's AI visibility the most?

The three highest-leverage actions for LMNT are: (1) Deploy Organization JSON-LD on drinklmnt.com with name (LMNT), legalName (Drink LMNT, Inc.), foundingDate (2018), founder (Robb Wolf), and sameAs linking to Crunchbase, PitchBook, and LinkedIn — this resolves the entity disambiguation problem; (2) Create a Wikipedia article for LMNT using SEC filing revenue data and the Robb Wolf co-founder notability as sourcing; (3) Deploy Article JSON-LD with datePublished on all science.drinklmnt.com articles and a sitemap.xml. These three actions are estimated to push the composite score from 70/100 to 78-82/100, well into Grade B mid-range.

LMNT / drinklmnt.com — AI Visibility Score 70/100

Independent AI Visibility Score audit of LMNT (Drink LMNT, Inc.) using the IdeaLab AI Visibility OS v1.1 framework. Composite: 70/100 · Grade B — Citation Ready · BR-001 · First brand audit in IdeaLab database. LMNT is a zero sugar electrolyte drink mix brand founded in 2018 by Robb Wolf (NYT bestselling author, former research biochemist). Revenue $72M DTC (2025), $200M+ all-channel (2023). Partners: Andrew Huberman (Stanford, Huberman Lab), Peter Attia (The Drive, investor), USA Weightlifting. Framework by J.L. Marcoux, IdeaLab.ai.

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Key Finding: First Brand Audit — D5 Topical Authority (82) Drives the Score
LMNT scores 70/100 — Grade B, Citation Ready — entering the IdeaLab database exactly at the Grade B threshold. The Huberman Lab, Peter Attia, and Modern Wisdom partnerships function as authority-based distribution: when Huberman or Attia discusses electrolytes, AI engines associate LMNT with scientific electrolyte authority. D5 Topical Authority (82/100) is the highest dimension — "zero sugar electrolytes" is a query where LMNT is the category-defining answer. D3 Entity Recognition (48/100) is the critical gap — no Wikipedia, no Wikidata, no Organization JSON-LD despite $200M+ in revenue.

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Critical Gap: D3 Entity Recognition — 48/100 · Grade C
No Wikipedia brand page. No Wikidata entry. No Organization JSON-LD on drinklmnt.com. LMNT has a Stanford neuroscientist as sponsor, an NYT #1 bestselling author as investor, and an NYT bestselling author as co-founder — yet AI knowledge graphs cannot confidently resolve "LMNT" as a brand entity. Deploying Organization JSON-LD + creating a Wikipedia article + creating a Wikidata entry can add +18-22 points to D3 alone.

COMPOSITE SCORE · GRADE SCALE · 7-DIMENSION OVERVIEW

/100 · Brand Audit · BR-001

BCitation Ready

GRADE SCALE

A85–100Answer Authority

B70–84Citation Ready

C50–69Legacy Mode

D30–49High Risk Zone

F0–29Pre-AI Era

7-DIMENSION RADAR

D5 Topical Authority (82) is the standout peak.
D3 Entity Recognition (48) is the critical crater.

DIMENSION SCORES

7910%

7120%

48 ⚠15%

7420%

82 ★15%

6310%

7710%

PROJECTED POST-FIX

78–82 / 100

Org schema + Wikipedia + Wikidata
+ Article JSON-LD on science articles

WEIGHTED SCORECARD

Dimension	Weight	Score	Weighted	Grade
D1Brand Clarity	10%	79	7.90	B
D2Content Depth SCIENCE.DRINKLMNT.COM ✓	20%	71	14.20	B
D3Entity Recognition ⚠ CRITICAL · NO WIKI · NO ORG SCHEMA	15%	48	7.20	C
D4Citation Network HUBERMAN · ATTIA · FERRISS ✓	20%	74	14.80	B
D5Topical Authority ★ HIGHEST DIM · ZERO SUGAR ELECTROLYTES #1	15%	82	12.30	A
D6Recency & Freshness NO STRUCTURED FRESHNESS SIGNALS	10%	63	6.30	C
D7Trust Signals HUBERMAN (STANFORD) · ATTIA (NYT #1) · WOLF (NYT)	10%	77	7.70	B
TOTAL	100%	—	70.4	B

DIMENSION ANALYSIS — Click to expand

DATABASE BENCHMARK — IdeaLab Database (13 entities · 12 influencers + 1 brand)

NP-001○Neil Patel

NP-NEW○Dharmesh Shah

NP-003○Rand Fishkin

NP-010○Ali Abdaal

NP-008○Seth Godin

NP-005○Jay Baer

NP-006○Marcus Sheridan

NP-002○Gary Vaynerchuk

NP-004○Ann Handley

NP-007○Justin Welsh

NP-009○Brian Dean

BR-001⬡LMNT ◀ BRAND DEBUT

NP-011○Amanda Natividad

⬡ = Brand audit ○ = Influencer/Person audit. LMNT (70/100 BR-001) is the first brand in the IdeaLab database. It enters at Grade B floor level, ahead of Amanda Natividad (60/100). LMNT's D5 Topical Authority (82) is the highest-scoring D5 of any non-Grade-A entity in the database — matching the D5 scores of Jay Baer (91) and Marcus Sheridan (91) who are the D5 leaders. Projected post-fix: 78–82/100, placing LMNT well into Grade B mid-range, ahead of Brian Dean (74) and Justin Welsh (75).

AUDIT RECORD

entity_name	LMNT (Drink LMNT, Inc.)
audit_id	BR-001 — First Brand Audit in IdeaLab Database
primary_domains	drinklmnt.com · science.drinklmnt.com · partners.drinklmnt.com
entity_type	Consumer Brand — DTC Zero Sugar Electrolyte Drink Mix
founded	2018 · Naples, FL
co_founder	Robb Wolf (NYT bestselling author The Paleo Solution, former research biochemist)
revenue	$72M DTC e-commerce (2025) · $200M+ all-channel (2023, SEC filings)
employees	~98–104 (May 2026, LeadIQ/Tracxn)
investors	Peter Attia (longevity MD, NYT #1 bestselling author) · 700+ on Republic.co · $6.05M raised
key_partnerships	Andrew Huberman (Huberman Lab, Stanford) · Peter Attia (The Drive) · USA Weightlifting · Modern Wisdom
formula	1000mg sodium · 200mg potassium · 60mg magnesium · zero sugar · no artificial ingredients
audit_date	2026-06-25
framework	IdeaLab AI Visibility OS v1.1
composite_score	70 / 100
grade	B — Citation Ready
db_position	#12 in IdeaLab database · First brand audit (BR-001)
D1_brand	79 · B — strong narrative, subdomains, no Organization JSON-LD
D2_content	71 · B — science.drinklmnt.com solid; no Article JSON-LD confirmed
D3_entity	48 · C — CRITICAL · No Wikipedia · No Wikidata · No Organization JSON-LD
D4_citation	74 · B — Huberman Lab · Peter Attia · Ferriss · USA Weightlifting · Reddit
D5_topical	82 · A — HIGHEST DIM · zero sugar electrolytes category leader · AI-confirmed
D6_freshness	63 · C — active operations; no structured freshness signals confirmed
D7_trust	77 · B — Huberman (Stanford) · Attia (NYT #1) · Wolf (NYT) · Patrick (PhD) · USA WL
critical_gap	D3 Entity Recognition (48) — No Wikipedia, no Wikidata, no Organization JSON-LD
top_action	Deploy Organization JSON-LD on drinklmnt.com + create Wikipedia brand article + Wikidata entry
d5_note	D5 Topical Authority (82) = highest dimension for any non-Grade-A entity in database
projected_score	78–82 / 100 · Grade B mid-range · after Org schema + Wikipedia + Wikidata + Article JSON-LD
audited_by	IdeaLab.ai · J.L. Marcoux · AI Visibility OS v1.1 · June 25, 2026

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