How AI Search Is Recommending Solar Energy: Monthly Trends

Executive Summary

Sunrun remains the category leader in September 2026 with 71.1% valid recommendation coverage. That is down 5.7 points from its July baseline of 76.8%, a decline the benchmark classifies as significant; the smaller August-to-September move (65.6% to 71.1%) falls within normal month-to-month variation. Its nearest challenger, Palmetto Solar, holds 58.9% coverage, essentially flat against its July baseline of 58.0%, narrowing the gap between the two leaders to just over 12 points, down from the 16-point spread seen in August.

The sharpest baseline-to-current riser is Sunnova, up 2.8 points from July's 2.5% to September's 5.3%, a move the benchmark classifies as significant and the only brand improving in each of the three tracked months. Blue Raven Solar posted the steepest baseline decline, down 9.7 points from 55.9% to 46.2%, though it did recover 3.0 points from its August low (a move within normal variation).

Six of the ten tracked brands — Sunrun, Blue Raven Solar, Elevation, Freedom Forever, Momentum Solar, and SunPower — registered significant declines from the July baseline. Within the month, Palmetto Solar gained 9.3 points from August, its strongest mark of the series, while Momentum Solar (+6.3 points) and SunPower (+5.0 points) also posted significant August-to-September gains even as both remain below their July levels. Elevation, Freedom Forever, and Trinity Solar continued a second consecutive month of decline.

This benchmark evaluated 800 prompt-surface observations in each month (469 unique questions in September 2026, compared with 456 in July 2026). All 800 mentioned a tracked brand or competitor in each month; 719 were relevant and 81 were irrelevant in September, compared with 686 relevant and 114 irrelevant in July. The public metrics use the 491 observations that qualified in September, up slightly from 488 in July.

Key Findings

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

The metrics below summarize benchmark-wide behavior across both months, using the qualified observation set as the denominator.

Benchmark-Level Metrics

September's response mix shifted toward recommendation-shaped answers relative to July, with 333 recommendation-shaped answers (up from 298) and 391 valid recommendation shortlists (down from 421), leaving the valid recommendation shortlist share at 79.6%, below July's 86.3%.

AI Recommendation Trend

Sunrun Keeps the Lead as Palmetto Solar and Sunnova Advance

Sunrun remains the category's most recommended brand with 71.1% valid recommendation coverage, holding first place throughout the July-to-September series, though its 5.7-point decline from July's 76.8% baseline is classified as significant. Palmetto Solar sits second at 58.9%, essentially flat against its July baseline of 58.0%, and Sunnova is the only brand improving in every month of the series, still the smallest by share at 5.3%. The pattern combines six significant baseline-to-current declines with Palmetto Solar's stability and Sunnova's rise, while mid-tier brands show partial recovery rather than a uniform trajectory.

What Changed This Month

Sunrun: Leader Holding First, Baseline Decline Persists

Sunrun's valid recommendation coverage rose from 65.6% in August to 71.1% in September, a 5.5-point move that falls within normal month-to-month variation. Measured from the July baseline of 76.8%, the brand remains down 5.7 points, a decline the benchmark classifies as significant.

Its top-three rate moved from 52.5% in August to 51.9% in September, while the rank-one rate held near 36.9%, essentially flat across both months. Raw mention presence recovered from 77.5% in August to 91.6% in September, nearly matching July's 92.4% mark.

The distinction matters: Sunrun restored its presence footprint in September but did not fully recover its top-three recommendation share. The brand appears in nearly as many AI answers as in July, yet fewer of those appearances converted to top-tier recommendations.

Highest-priority diagnostic: Which prompt categories regained Sunrun mentions without restoring top-three placement, and did responses shift toward including Sunrun as a secondary rather than primary option?

Blue Raven Solar: Steepest Baseline Decline

Blue Raven Solar's valid recommendation coverage fell from 55.9% in July to 43.2% in August, then recovered to 46.2% in September, a 3.0-point move within normal variation. Measured July to September, the brand is down 9.7 points, the largest baseline decline in the tracked cohort.

The top-three rate tells a sharper story: it dropped from 42.0% in July to 24.6% in September, down 17.4 points. Rank-one rate fell from 9.4% to 3.3%. Raw mention presence declined from 59.4% to 49.9%.

Blue Raven Solar is losing the competition for prominent placement more than it is disappearing from answers. Its mention presence fell moderately, but the drop in top-three appearances suggests AI systems are now more likely to list the brand in lower positions or omit it from shortlists entirely.

Highest-priority diagnostic: Which AI surfaces moved Blue Raven Solar from shortlist inclusion to lower-rank mention, and which brands appear in the shortlists where Blue Raven Solar previously held top-three placement?

Sunnova: Small Base, Significant Rise

Sunnova rose from 2.5% valid recommendation coverage in July to 4.7% in August and 5.3% in September, a 2.8-point gain from baseline that the benchmark marks as significant. Sunnova holds 26 valid recommendations in September, up from 12 in July.

Its rank-one rate remains at 0.0%, and top-three rate is 1.6%, meaning the brand appears in recommendation shortlists but never as a top recommendation. Raw mention presence held steady at roughly 6.3%, indicating the improved coverage came from more of its existing mentions converting to valid recommendations rather than a broader mention footprint.

Sunnova remains the smallest tracked brand by coverage, but it is the only brand rising in every month of the series.

Highest-priority diagnostic: Which specific prompts convert Sunnova mentions into recommendations, and whether those prompts represent a durable niche or a temporary pattern in how AI systems associate Sunnova with certain customer profiles.

SunPower: Partial Recovery, Sentiment Decline

SunPower fell from 27.9% valid recommendation coverage in July to 13.7% in August, then rose to 18.7% in September, a significant 5.0-point August-to-September gain. The brand remains down 9.2 points from its July baseline, a decline the benchmark classifies as significant.

Net sentiment for SunPower fell from 0.7 in July to 0.3 in September, with negative visibility rising from 4.3% to 11.0%.

SunPower's coverage recovery has not extended to sentiment. More of the brand's existing mentions are converting to recommendations, but the tone of those mentions has shifted.

Highest-priority diagnostic: Which external sources or evidence types are associated with the rising negative sentiment for SunPower, and whether the sentiment shift is driving the recommendation pattern or reflecting the same underlying cause.

Freedom Forever: Coverage Decline Paired with Sentiment Deterioration

Freedom Forever's valid recommendation coverage fell from 16.8% in July to 15.0% in August and 11.4% in September, down 5.4 points from baseline, a decline the benchmark classifies as significant and the brand's second consecutive month of decline.

Net sentiment fell from 0.5 in July to 0.1 in September, with negative visibility reaching 11.4%.

Freedom Forever's declining coverage runs alongside a shift in how AI systems characterize the brand. The movement extends beyond recommendation rates into the tone of the answers themselves.

Highest-priority diagnostic: Which external sources or evidence types are associated with the rising negative sentiment for Freedom Forever, and whether the sentiment shift is driving the recommendation decline or reflecting the same underlying cause.

Elevation and Trinity Solar: Quiet Erosion

Elevation has declined for two consecutive months, from 10.4% coverage in July to 5.3% in August and 4.1% in September, a baseline decline the benchmark classifies as significant. The brand now holds just 20 valid recommendations, down from 51 in July. Rank-one placement remains minimal at 0.4%, with 2 rank-one results.

Trinity Solar followed a gentler downward path, from 16.4% to 15.0% to 12.4%, with neither the baseline-to-current nor prior-to-current move exceeding normal variation. Its raw mention presence declined from 21.1% to 16.3%.

For Elevation, the proportional decline is amplified by a small base. For Trinity Solar, the erosion is steadier and reflects declining mention presence across AI answers, though it falls within normal variation.

Highest-priority diagnostic: Whether Elevation's losses concentrate in prompts where its regional footprint is a match, and whether Trinity Solar's mention decline traces to specific AI surfaces or prompt categories.

Tesla Wall Connector (Tesla, Inc.): Stable Return

Tesla Wall Connector (Tesla, Inc.) returned to the September tracked cohort with 35.4% valid recommendation coverage, down 3.5 points from its July mark of 38.9%, a move the benchmark does not classify as significant. The August entry in its series reflects a temporary tracking substitution with Tesla Solar.

The brand holds 174 valid recommendations in September, with a top-three rate of 16.7% and rank-one rate of 1.0%. Raw mention presence is 47.4%.

Highest-priority diagnostic: Whether the Tesla Wall Connector and Tesla Solar tracking variants represent distinct entities in AI system responses or interchangeable descriptions of the same offering, and how that affects comparative positioning within the category.

Palmetto Solar: Strongest Month of the Series

Palmetto Solar reached its strongest coverage of the series in September at 58.9%, up 9.3 points from August's 49.6%, a significant month-over-month gain. Measured against its July baseline of 58.0%, the brand is effectively flat, a difference the benchmark does not classify as significant.

Raw mention presence rose from 54.5% in August to 68.4% in September.

Highest-priority diagnostic: Whether Palmetto Solar's September gains came from the same prompt categories where it lost ground in August, or from new prompt types entering the benchmark.

Momentum Solar: Significant Baseline Decline, Sharp Monthly Rebound

Momentum Solar's valid recommendation coverage stands at 37.9% in September, down 8.8 points from its July baseline of 46.7%, a decline the benchmark classifies as significant. Within the month, the brand rose 6.3 points from August's 31.6%, also a significant move.

Its top-three rate of 17.7% remains down 6.1 points from July's 23.8%, and rank-one placement is 3.0%, down from 4.5% in July.

Momentum Solar's September rebound narrows but does not close its baseline decline. The brand remains well below its July positioning despite the monthly gain.

Highest-priority diagnostic: Whether Momentum Solar's September gains came from the same prompt categories where it lost ground earlier in the series, or from new prompt types entering the benchmark.

Buyer-Intent Interpretation

All 491 qualified observations in September fell into the Brand Recommendation cluster, consistent with July, where all qualified observations also landed in this cluster. No observations qualified for Pricing & Value or Multi-Brand Comparison in either month. The public benchmark therefore measures which solar brands AI systems recommend, but it cannot yet answer commercial questions about price positioning, value perception, or head-to-head competitive comparisons in this category.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

Interpretation Notes

• The qualified benchmark set (488 observations in July, 491 in September) is the denominator for all coverage percentages. Raw collection volumes are larger and include prompts that did not survive qualification.
• Six brands declined from July baseline by amounts exceeding normal month-to-month variation, while one brand, Sunnova, rose significantly. These are directional signals that warrant investigation, not established causes of the movement.
• The Tesla Wall Connector (Tesla, Inc.) to Tesla Solar substitution in August and the return of Tesla Wall Connector (Tesla, Inc.) in September represents a tracking change that affects single-month comparison and gap analysis.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath the aggregate percentages sit unanswered questions: which high-intent prompts are won and lost, which competitor takes the recommendation when a given brand loses, what attributes AI systems associate with each option, and which external sources shape those answers. The September data shows a category with mixed results — several brands regaining ground within the month while others continue a multi-month decline — but only prompt-level inspection can reveal whether these patterns are durable, content-driven, or benchmark artifact.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. The benchmark shows the outcome; the audit explains the mechanics.

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