How AI Search Is Recommending Solar Panels: Monthly Trends

Executive Summary

Qcells holds the category lead in October 2026 at 69.5% valid recommendation coverage, up from 59.7% in July 2026, a 9.8-point gain the benchmark classifies as significant. That places it 5.5 points ahead of REC Group at 64.0%, which rose from 57.6% in July, a 6.4-point gain also flagged as significant, and 3.7 points ahead of Maxeon (SunPower) at 65.8%, up 6.6 points from 59.2% in July, a third significant move.

The upward movement was not confined to the top. Four brands posted significant gains across the series: Qcells, REC Group, Maxeon (SunPower), and Trina Solar, which reached 19.8% coverage from 15.3% in July, passing its significance threshold by the narrowest of margins. Maxeon (SunPower) also posted the sharpest single-month move among the leaders in October itself, up 3.4 points from September.

The clearest decline belongs to Panasonic, the only brand the benchmark flags as a significant decliner, falling from 15.3% coverage in July to 10.3% in October, down 5.0 points, with a three-month downward streak. Panasonic's raw mention presence also fell 6.2 points across the same span, from 21.0% to 14.8%.

Set against July, October extends a pattern the benchmark has tracked for three consecutive months: the leaders pulled further away while the tail softened. Qcells, REC Group, and Maxeon (SunPower) all sit above 60% coverage, and the gap separating Maxeon (SunPower) from Panasonic widened every month of the series, from 43.9 points in July to 55.5 points in October. The reverse measure, Panasonic behind Qcells, widened from 44.4 points to 59.2 points over the same period.

Each monthly run begins with 800 prompt-surface observations (441 unique questions in July 2026; 492 in October 2026) across the benchmark's defined AI/search surface universe. Of those, 800 in July and 799 in October mentioned at least one tracked brand or competitor; 726 were relevant and 74 irrelevant in July, against 672 relevant and 127 irrelevant in October. The public metrics use the qualified benchmark sets of 595 observations in July 2026 and 514 observations in October 2026 that survive both qualification stages.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• Which solar panel brands had conflicting AI answers, and what topics drove the contradictions?
• What warranty and efficiency claims did AI platforms disagree on for Maxeon (SunPower), LONGi, and others?
• How did AI platforms differ on whether Maxeon is an active brand or facing insolvency?

The benchmark detected 25 critical or high-severity factual inconsistencies across six AI platforms, spanning six tracked manufacturers. Each entry below reflects where AI platforms gave materially different answers to the same buyer question.

Maxeon (SunPower)

Fifteen of the 25 inconsistencies involve Maxeon (SunPower), spanning all six platforms. Three topics recur: company status, warranty length, and the Maxeon 7 efficiency rating.

On company status, a critical-severity conflict emerged when buyers asked "Are Maxeon solar panels the best?" Gemini presented Maxeon as an active, leading panel brand with no mention of insolvency or restructuring, discussing panel purchase and warranty support as normal business, citing Sunhub, PowerFilm Solar, and EnergySage. Perplexity answered the same question by stating that Maxeon entered judicial management in Singapore in April 2026 amid severe liquidity problems and is undergoing Nasdaq delisting, creating uncertainty about future warranty and service support, citing a Maxeon SEC filing and Maxeon's own warranty page. The benchmark flagged Maxeon's own reliability post and a SolarReviews expert review as sources supporting the first framing.

On warranty length, the platforms disagreed on whether Maxeon panels carry a 40-year or a 25-year product and power warranty. Asked "Which company is best in solar panels?", Google AI Overviews stated a 40-year product and power warranty, citing CPTL Energy, while Copilot stated 25 years, citing EnergySage, Story of Solar, and Forbes. Gemini stated a 25-year combined product, power, and service warranty on the same question while Google AI Mode stated a 40-year combined product and power warranty. Similar splits repeated on "What's the best solar panel for home use?" (Gemini 25 years against Copilot and ChatGPT 40 years) and on "Is SunPower the best solar panel?" (Gemini's traditional 25-year combined warranty against Copilot's industry-leading 40-year product and performance warranty, citing Clever Home Energy). Asked "What is the best solar panel system for your home?", Gemini cited a 40-year product and power warranty while ChatGPT described Maxeon 6 as carrying 25-year product and performance warranties.

On Maxeon 7 efficiency, four conflicts centre on whether the panel reaches 24.9% or 24.1%. Asked "What is the highest efficiency solar panels in 2024?", ChatGPT stated Maxeon IBC panels up to roughly 24.9%, citing the Wiley solar cell efficiency tables and a LONGi press release, while Google AI Mode, Copilot, and Google AI Overviews each stated figures around 24.1%, citing Clean Energy Reviews, A1 SolarStore, SunValue, Taipower-adjacent listings, and CNET. Gemini stated 24.9%. A JMH Power page was flagged as supporting both sides.

LONGi Solar

Four inconsistencies involve LONGi Solar across four platforms.

Asked "Who is the largest supplier of solar panels?", Gemini stated JinkoSolar is the largest supplier and manufacturer by shipment volume with LONGi listed as another top global supplier but not the largest, citing the World Green Energy Expo and EnergySage. Copilot stated LONGi Green Energy is the largest supplier in 2026 according to Wood Mackenzie's global ranking, citing the Wood Mackenzie press release and SolarQuarter. The benchmark flagged the Wood Mackenzie release as supporting the Copilot answer and a SolarProInfo listing as supporting the Gemini answer.

On LONGi panel efficiency, two conflicts emerged on "What is the highest efficiency solar panels in 2024?". Gemini stated LONGi premium n-type TOPCon panels typically peaked between 21.5% and 22.5%, while Google AI Mode stated LONGi high-efficiency back-contact and Hi-MO series modules scaled to roughly 23.3% to 24.4%, citing Clean Energy Reviews and MoregoSolar, and Google AI Overviews stated the LONGi Hi-MO X6 Scientist reached 23.3%, citing JMH Power.

On warranty, asked "Are LONGi solar panels any good?", Gemini stated baseline product and equipment warranties traditionally start around 12 years on standard models, citing Clean Energy Reviews, SolarLove, and Sunhub, while Copilot stated LONGi typically offers 25-year product warranties, citing LONGi USA and Chinese.Solar. A SolarQuotes page was flagged as supporting both sides, noting 12, 15, or 25 year product warranties depending on model.

Canadian Solar

Two inconsistencies involve Canadian Solar, across three platforms, both on panel efficiency.

Asked "What is the highest efficiency solar panels in 2024?", Gemini stated Canadian Solar premium n-type TOPCon panels typically peaked between 21.5% and 22.5%, while Google AI Mode stated top-tier N-type TOPCon residential modules reached between 23% and 23.5%, citing MoregoSolar, and Google AI Overviews stated the TopHiQ6 and HighQ6 lines hit up to 23.0% to 23.3%, citing CNET, EnergySage, and SolarQuotes. EnergySage was flagged as stating Canadian Solar's 465-watt panel reaches 23.3%, described as the most efficient available for homes.

JinkoSolar

Two inconsistencies involve JinkoSolar, across three platforms, both on panel efficiency.

Asked "What is the highest efficiency solar panels in 2024?", Gemini stated JinkoSolar premium n-type TOPCon panels typically peaked between 21.5% and 22.5%, while ChatGPT stated JinkoSolar TOPCon modules sit in a roughly 23 to 24% range, and Google AI Mode stated top-tier N-type TOPCon residential modules reached 23% to 23.5%, citing MoregoSolar's listing of a 23.42% Jinko module and a SolarInfo page placing mainstream N-type TOPCon panels at 22% to 23%.

Mission Solar

One inconsistency involves Mission Solar, between ChatGPT and Copilot, on product warranty length.

Asked "Are mission solar panels good?", ChatGPT stated current MSX panels carry a 25-year product warranty, citing EnergySage's MSX10-435HN0B listing and the MSX warranty document, while Copilot stated a standard 12 to 15 year product warranty, citing SolarTechOnline and Smart Energy USA. SolarTechOnline was flagged as describing a 12-year product warranty extendable to 25.

Trina Solar

One inconsistency involves Trina Solar, between ChatGPT and Copilot, on product warranty length.

Asked "Is Trina Solar panels good?", ChatGPT stated many current U.S. residential Vertex S+ panels carry a 25-year product warranty, citing Trina Solar's own Vertex S series page and product datasheet, while Copilot stated a standard 15-year product warranty, citing SolarSavingsAI and Smart Energy USA. Both the Trina Solar product page and the third-party review were flagged as supporting their respective positions.

Benchmark Context

Questions This Section Answers

• How did the qualified benchmark set change between July and October 2026?
• Why are brand-level recommendation percentages calculated within the qualified set rather than the raw collected prompts?

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

August 2026 and September 2026 sat between these two months, both with 566 qualified observations and 6 qualified surfaces. August held 800 collected prompts against 714 relevant and 86 irrelevant; September held 800 collected against 702 relevant and 98 irrelevant. The qualified denominator contracted from 595 in July to 514 in October, a fall of 81 observations, while the relevant prompt pool fell by 54 and the irrelevant pool grew by 53.

Benchmark-Level Metrics

September 2026 sat between these months with a recommendation-shaped answer share of 43.6% and a valid recommendation shortlist share of 72.3%, the lowest and highest intermediate readings in each series respectively.

AI Recommendation Trend

Questions This Section Answers

• Which solar panel brands ranked highest in AI recommendation coverage in October 2026?
• How much did each brand's coverage move between July and October 2026?

Three Brands Above 60% as the Leader Extends Its Margin

Qcells extended its lead to 5.5 points in October 2026 while REC Group and Maxeon (SunPower) closed into a tight second and third, and a broad set of smaller gains among the tail did not change the overall shape of the category.

Eight of the ten tracked brands hold a low single-digit coverage level below 5.5%, and the spread between them compressed this month rather than widened. The category-level change came from the combination of several smaller movements plus the leader's continued extension, not from one dominant shift in position.

What Changed This Month

Questions This Section Answers

• How did Qcells extend its lead, and where did its placement gains concentrate?
• Why did Panasonic decline while other brands gained, and did its placement deteriorate as much as its visibility?
• What drove JinkoSolar's sharpest single-month coverage gain?

Qcells Extends Its Lead to Its Widest Margin

Qcells reached 69.5% valid recommendation coverage in October 2026, up from 59.7% in July 2026, a 9.8-point gain the benchmark classifies as significant. That gain builds on a three-month upward streak that carried the brand from 59.7% in July through 60.2% in August and 65.5% in September before reaching 69.5% in October. Against the immediately prior month, Qcells rose 4.0 points.

On placement, Qcells' top-three recommendation rate reached 46.5% in October, up from 30.6% in July, a 15.9-point gain. Its rank-one rate held steady at 3.1% against 3.0% in July, meaning the gains concentrated in the second and third recommendation positions rather than the top slot. Raw mention presence rose to 83.9% from 82.9% in July, holding the highest raw presence in the category.

The distinction to note is that Qcells' coverage improvement came without a comparable growth in first-position recommendations. It won a substantially larger share of top-three placements while its share of rank-one placements barely moved.

Highest-priority diagnostic: Which prompt clusters drove the 15.9-point top-three rate gain, and is the brand winning second or third position consistently across surfaces?

REC Group and Maxeon (SunPower) Tighten the Second and Third Positions

REC Group reached 64.0% coverage in October 2026, up from 57.6% in July, a 6.4-point gain the benchmark classifies as significant. The brand's rank-one rate climbed to 32.5% in October from 14.8% in July, a 17.7-point gain, and its top-three rate rose to 53.9% from 37.6%, a 16.3-point gain. Raw mention presence held essentially flat at 69.5% against 69.4% in July.

Maxeon (SunPower) reached 65.8% coverage, up 6.6 points from 59.2% in July, also significant, and posted the sharpest single-month move among the three leaders, up 3.4 points from September. Its top-three rate rose 12.1 points to 52.3% from 40.2% in July. Maxeon (SunPower)'s rank-one rate, however, slipped to 21.0% from 24.7% in July, a 3.7-point decline, while its raw mention presence eased 4.0 points to 72.6% from 76.6%.

The pattern is that both brands gained coverage through broader placement rather than first-position dominance, while the runner-up that gained the most rank-one strength, REC Group, remains third on overall coverage. REC Group now holds the highest rank-one rate of the three leaders at 32.5%, against Maxeon (SunPower)'s 21.0% and Qcells' 3.1%.

Highest-priority diagnostic: Which prompts moved REC Group into first position while it remained third on total coverage, and which surfaces account for Maxeon (SunPower)'s rank-one decline?

Panasonic's Three-Month Decline Widens the Gap Below the Leaders

Panasonic is the only brand the benchmark flags as a significant decliner, reaching 10.3% coverage in October 2026 against 15.3% in July, a 5.0-point drop, with a three-month downward streak. Against the prior month, Panasonic fell 3.7 points, from 14.0% in September, its largest single-month move of the series. Raw mention presence fell to 14.8% in October from 21.0% in July, a 6.2-point decline.

On placement, Panasonic's top-three rate edged up to 4.3% from 3.5% in July, and its rank-one rate held at 0.0% across both months. The brand's valid recommendation count stood at 53 in October, down from 91 in July, a low absolute base that makes percentage movement more volatile.

The distinction here is between a broad visibility loss and a placement loss. Panasonic is mentioned far less often, but among the observations where it does appear, its top-three and rank-one positioning did not deteriorate in the same way. The gap between Panasonic and Qcells widened from 44.4 points in July to 59.2 points in October, the widest recorded, and widened every month of the series.

Highest-priority diagnostic: Which surfaces or prompt types lost Panasonic mentions between July and October, and are the remaining 53 valid recommendations concentrated in the same question types?

JinkoSolar's Sharpest Single-Month Move

JinkoSolar reached 30.7% coverage in October 2026, up 3.1 points from 27.6% in July, a move within normal variation on that span. Against the immediately prior month, however, the brand rose 7.2 points from 23.5% in September, a change the benchmark flags as significant from September and the largest single-month move recorded for the brand. Its rank-one rate rose to 6.8% from 3.5% in July, a 3.3-point gain, while raw mention presence eased to 44.8% from 47.7%.

On placement, the top-three rate held flat at 8.8% against 8.7% in July. The brand's valid recommendation count stood at 158 in October, down from 164 in July but up from 133 in September.

The distinction is that JinkoSolar's recovery came through rank-one placements rather than top-three breadth. The brand gained first-position recommendations without materially changing how often it appears in top-three lists.

Highest-priority diagnostic: Which prompts produced the rank-one gain from September, and does the shift hold across more than one surface?

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters produced qualified observations in October 2026?
• What can the benchmark not yet say about pricing and head-to-head comparison prompts for solar panels?

In October 2026, all 514 qualified observations fell into the Brand Recommendation cluster. The Pricing and Value and Multi-Brand Comparison clusters registered no qualified observations, meaning the public benchmark cannot yet answer questions about price sensitivity, value positioning, or head-to-head comparison dynamics in this vertical. The October run did record 14 pricing-analysis responses at the collection stage, but none of those survived into the qualified benchmark set. The current data shows which brands AI systems recommend for solar panels, and at what position, but not how those recommendations shift when buyers introduce cost or direct comparison into their queries.

Brand Opportunity Summary

Questions This Section Answers

• Which solar panel brands show significant movement, and what diagnostic question does each one face?
• Which brands are flagged as stable or small-count tail positions?

The benchmark identifies where attention is warranted across all ten tracked brands; a company-level analysis is needed to explain why those patterns are emerging.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations covering the query, the AI surface, the recommendation outcome, rank, sentiment, and citations where exposed. Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns to understand what drives coverage differences. Source presence in an AI answer is not automatically treated as proof of causation. The response-inconsistency findings in this report reflect cases where the benchmark observed materially different answers to the same question across platforms, which identifies a contradiction worth investigating rather than establishing which answer is correct.

About This Benchmark

This report is part of the LLM Authority Index AI Visibility Market Discovery research program.

• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• Small-count movements: Mission Solar's 14 valid recommendations and Panasonic's 53 valid recommendations in October 2026 are drawn from low absolute bases relative to the leaders, so month-to-month percentage changes for these brands carry less signal than those for brands with hundreds of recommendations.
• Qualified denominator: Brand-level percentages are calculated within the 514 qualified observations, not the 800 raw prompt-surface observations collected. The 127 irrelevant prompts and 158 further-reserved prompts are excluded from public metrics.
• Directional analysis: Movement between July 2026 and October 2026 identifies where attention is warranted, but does not by itself establish what caused the change. The significant moves by Qcells, Maxeon (SunPower), REC Group, Trina Solar, and Panasonic are signals for investigation, not conclusions about cause.

Next Step

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

Beneath the aggregate percentages lie the questions that matter for competitive positioning: which high-intent prompts are won and lost, which competitor takes the recommendation when a brand loses it, what attributes AI associates with each solar panel manufacturer, and which external sources shape those answers. Qcells' widening lead, REC Group's rank-one strength against a third-place coverage position, and the recurring warranty and efficiency contradictions across ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode are exactly the kind of pattern a company-level audit can trace to specific prompts, surfaces, and evidence sources.

A company-specific AI visibility audit maps these prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. The public benchmark cannot identify the prompts, competitors, or sources causing the result. It turns the benchmark's directional signals into actionable intelligence for closing the gap to the leaders, defending a leadership position, or resolving the factual inconsistencies shaping how AI systems describe a brand.

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