Portable Power Stations and Off-grid Power: AI Market Discovery Index

Benchmark Summary

EcoFlow led the category in September 2026 with valid recommendation coverage of 75.5%, up from 70.7% in August 2026. Anker SOLIX followed at 66.0% in September 2026, up from 57.8% in August 2026, leaving a gap of 9.5 percentage points between the two leaders.

The largest coverage increase in September 2026 was Anker SOLIX, rising 8.2 points from 57.8% to 66.0%, a move beyond normal month-to-month variation. Mango Power also recorded a significant gain, rising from 0.3% in August 2026 to 2.4% in September 2026, though from a very low base. No tracked brand showed a significant decline this month. Goal Zero dipped from 13.7% in August 2026 to 13.1% in September 2026, with its top-three rate declining from 4.5% to 2.2%; the overall coverage change remained within expected bounds.

Across the full series, EcoFlow has held the lead in both months, with Anker SOLIX narrowing the gap over the period. The benchmark began with 800 prompt-surface observations in each month and produced 589 qualified observations in September 2026 after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts the canonical AI/search surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. Both months recorded activity across all six families.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Portable Power Stations and Off-grid Power

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design.

Brand-level percentages use the qualified observations as the public denominator, not the raw collection. AI Market Discovery Methodology

Current Brand Standings

How to Read the Standings

• Presence rate: share of qualified observations where the brand is mentioned in any form.
• Valid recommendation coverage: share of qualified observations where the brand appears in a recommendation-shaped answer that is valid.
• Top-three rate: share of qualified observations where the brand is recommended in the top three positions.
• Rank-one rate: share of qualified observations where the brand is recommended first.
• Net sentiment: positive mentions minus negative mentions, divided by total mentions, on a scale from -1 to 1.

For formulas and denominator rules, see AI Market Discovery Metric Definitions.

Recommendation Coverage Movement

Largest Increase: Anker SOLIX

Anker SOLIX recorded the largest coverage gain of the month, rising from 57.8% in August 2026 to 66.0% in September 2026. The 8.2 percentage point increase was beyond normal month-to-month variation. Supporting metrics also moved up: presence rose from 80.1% to 83.9%, and top-three placement rose from 43.2% to 48.7%, though both remained within normal variation.

Mango Power also showed a significant increase, from 0.3% in August 2026 to 2.4% in September 2026. The valid recommendation count rose from 2 to 14 observations. This is a meaningful gain, but the small count limits what can be concluded.

Category Leader: EcoFlow

EcoFlow held the lead in valid recommendation coverage at 75.5% in September 2026, up from 70.7% in August 2026. The increase of 4.8 percentage points stayed within normal month-to-month variation, meaning the leader's position was stable. EcoFlow also led on top-three placement at 64.2% and rank-one placement at 30.4% in September 2026. Net sentiment was 0.87, the highest of any tracked brand.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. The table below shows how often each leading brand appears in the top three positions and in first position.

EcoFlow and Anker SOLIX both show strong first-position rates, with EcoFlow at 30.4% and Anker SOLIX at 23.6% in September 2026. Jackery shows a similar top-three rate to Anker SOLIX but a far weaker rank-one rate, revealing that first-choice preference is markedly less competitive than overall visibility.

Buyer-Intent Distribution

In both months, the qualified observations fell into the Brand Recommendation class, covering discovery and consideration of portable power stations.

The current public series measures the discovery and consideration stage of the buyer journey. It does not yet contain qualified observations in the pricing and value or multi-brand comparison classes.

Historical Measurement Record

Evidence and Source Layer

The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Citations are evidence about the information environment, not proof that a source caused the recommendation, as attribution can be partial or indirect.

Scope Boundaries

This public benchmark measures brand visibility and recommendation dynamics across major AI/search surfaces. It does not measure:

• Market share, sales, or revenue outcomes
• Actual purchase decisions or attributable conversions
• Every possible AI response to every possible query
• Organic search engine ranking positions
• Social media mention volume or third-party review content
• Private or gated AI channels and enterprise tools
• Causality, where a metric movement alone cannot establish why a change occurred

About This Benchmark

The LLM Authority Index AI Market Discovery Index is an industry-level benchmark tracking how AI chat, search, and answer engines surface and recommend brands. It records presence, recommendation coverage, placement, and sentiment for each tracked brand without assigning commercial value to any single outcome.

• AI Market Discovery Methodology
• AI Market Discovery Metric Definitions
• AI Market Discovery Research Standards
• Modeled AI Authority Value

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