How AI Search Is Recommending Home EV Chargers: Monthly Trends

Executive Summary

The Home EV Chargers category moved sharply in October 2026, and the movement was almost entirely downward. Valid recommendation coverage, the share of qualified AI answers that place a brand on a recommendation shortlist, fell at eight of nine tracked brands from the July 2026 baseline, and seven of those declines exceeded normal month-to-month variation. Even the category leader, Wallbox Pulsar Plus, declined from baseline: at 15.4% coverage, down 8.3 points from 23.7% in July, it now sits atop a field where every other previously prominent brand has fallen to zero coverage. Lectron is the only brand to move upward from baseline, and that move sits within normal variation.

Wallbox Pulsar Plus leads October 2026 at 15.4% valid recommendation coverage, down 8.3 points from 23.7% in July 2026, a decline that exceeds normal month-to-month variation. Lectron is second at 11.9%, a move of less than one point from 11.0% in July and therefore stable. The gap between first and second place is 3.5 points. No brand in the category posted a coverage rise beyond normal variation from baseline in October 2026.

The category leaderboard changed shape completely at the top. ChargePoint Home, which led in July 2026 at 61.5%, recorded zero valid recommendation coverage in October 2026, alongside Emporia EV Charger (46.0% in July), Tesla Wall Connector (56.3% in July), Grizzl-E (37.2% in July), Autel MaxiCharger (12.3% in July), Enphase IQ (2.4% in July), and Siemens VersiCharge (0.6% in July). Each of those seven brands shows zero present count and zero valid recommendation count in October 2026.

Against the prior month, this is a break rather than a drift. ChargePoint Home fell 53.3 points from 53.3% in September 2026, extending a three-month downward streak. Tesla Wall Connector fell 51.8 points from 51.8% in September, Emporia fell 39.8 points from 39.8%, Grizzl-E fell 38.6 points from 38.6%, and Autel MaxiCharger fell 12.2 points from 12.2%. The two exceptions moved upward at the margin: Lectron rose 0.8 points from 11.1% in September, and Wallbox Pulsar Plus rose 1.0 point from 14.4%. Both moves are within normal variation.

Each monthly run begins with 800 prompt-surface observations (514 unique questions in July 2026, 549 in August 2026, 536 in September 2026, and 546 in October 2026) across the benchmark's defined AI/search surface universe. All 800 observations mentioned a tracked brand or competitor in each month. In July 2026, 691 were relevant and 109 were irrelevant; in August 2026, 714 were relevant and 86 were irrelevant; in September 2026, 722 were relevant and 78 were irrelevant; in October 2026, 684 were relevant and 116 were irrelevant. The public metrics use the 535 (July 2026), 554 (August 2026), 568 (September 2026), and 539 (October 2026) observations that survive both qualification stages.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• Which brands had factual conflicts flagged across AI platforms this month?
• What kinds of claims did the flagged inconsistencies concern?

The benchmark detected 22 critical or high-severity factual inconsistencies across five companies and six AI platforms in the current run. Every flagged conflict carries high confidence and concerns either the price of a specific charger or a hardware specification that buyers rely on to make a purchase decision.

Tesla Wall Connector (Tesla, Inc.)

Fifteen high-severity inconsistencies were recorded for Tesla Wall Connector, spanning all six tracked platforms. The dominant pattern is price disagreement on the same product.

When asked "Which is the best EV charger to buy?", Google AI Overviews stated the price was about $450, citing MotorTrend, EnergySage, and evchargerreviews.net, while Google AI Mode stated $1,499.00, citing Google product listing pages. A flagged MotorTrend excerpt on the lower side reads "PRICE WHEN TESTED $450."

When asked "What is the best electric car charger for home?", Copilot stated $450–600, citing an "honest scored comparison" page alongside MotorTrend, while Google AI Mode again stated $1,499.00, this time citing MotorTrend, a Google product listing, and ZDNET. The same question produced a separate conflict between Google AI Overviews, which claimed around $450, and Google AI Mode at $1,499.00.

When asked "What's the best EV charger to get?", Google AI Overviews stated around $420–$450 while ChatGPT stated $660.00, citing MotorTrend and Car and Driver. The same question and the same two platforms produced a second conflict, with Google AI Overviews again at around $420–$450 and Google AI Mode at $660.00.

When asked "Which home EV charger is best?", Google AI Mode stated $1,399.00, citing the New York Times Wirecutter review, while ChatGPT stated around $595, citing Car and Driver, EnergySage, and evchargerlab.com. Flagged sources on the ChatGPT side included a page reading "around $500–$600" and another reading "~$580." The same question produced a second conflict between Google AI Overviews at around $450 and Google AI Mode at $1,399.00, and a third between Google AI Overviews at around $450 and ChatGPT at around $595.

When asked "What is the best Type 2 EV charger?", Gemini stated Tesla Universal Wall Connector around $595, citing MotorWatt and BENY, while Google AI Mode stated Tesla Wall Connector $1,499.00, citing CleanTechnica, EnergySage, and eviqo.io.

Two further conflicts concern hardware price rather than equipment list price. When asked "How much does it cost to have a home charger for Tesla?", Google AI Overviews listed the Tesla Wall Connector at $3,785.00 (Nextech Energy Systems) while Perplexity stated the equipment is around $450–$535, citing Integra Electrical, ChargerPro, and Alpha Omega Electric. Flagged excerpts on the Perplexity side read "Tesla Wall Connector hardware: roughly $450" and "currently costs $535 for the equipment itself." The same question produced a second conflict between Google AI Overviews at $3,785.00 and Google AI Mode at $500–$600, with a flagged excerpt reading "typically costs around $400–$600, excluding installation."

When asked "What is the best EV charger on the market?", Google AI Overviews stated around $450 while Google AI Mode stated $1,499.00.

When asked "What brand of EV charger is best?", Gemini stated $660.00 while Google AI Mode stated $1,399.00. The same question produced a second conflict between Google AI Overviews at approximately $535 and Google AI Mode at $1,399.00, and a third between Google AI Overviews at approximately $535 and Gemini at $660.00.

Emporia EV Charger (Emporia Energy)

Three high-severity price inconsistencies were recorded for Emporia EV Charger across Google AI Mode, ChatGPT, and Copilot. All three involved the same question.

When asked "What's the best EV charger to get?", Google AI Mode stated the Emporia Classic Level 2 costs $199.00, citing the New York Times Wirecutter review and a Google product listing, while ChatGPT stated $625.00, citing MotorTrend and Car and Driver.

The same question produced a second conflict between Copilot at $449.00 and ChatGPT at $625.00. Copilot cited the Emporia Energy store page, a DK Hardware listing, and a Walmart listing, and a flagged excerpt from the Emporia store page confirms "Emporia Classic Level 2 EV Charger - White / CCS / J1772 / NEMA 14-50 $449.00."

The same question produced a third conflict between Google AI Mode at $199.00 and Copilot at $449.00, again with the manufacturer store page supporting the higher figure.

Wallbox Pulsar Plus

Two high-severity specification inconsistencies were recorded for Wallbox Pulsar Plus, both triggered by the same comparison question.

When asked "Is ChargePoint or Wallbox better?", Copilot stated the amperage is fixed at 40A or 48A, citing comparisons from leveltwoclub.com, flowgearai.com, and autoedgeview.com, while Google AI Mode stated the amperage is adjustable across 6A to 48A, citing nuwattenergy.com, evchargerinstallhub.com, and learnevcharging.com. Flagged source excerpts show the underlying published pages disagree with each other, including one reading "Adjustable amperage Yes" and another reading "Amperage 16–50A (adjustable) 40A or 48A (fixed)."

The same question produced a second conflict on installation options. Copilot stated the charger is hardwired only, while ChatGPT stated plug-in at 40A or hardwired at 48A, citing the Wallbox product page and the ChargePoint installation FAQ. Flagged excerpts again show conflicting published sources, including one reading "Mounting: Hardwired only — requires an electrician" and another reading "Hardwired at 48A (40A model plugs into a NEMA 14-50)."

ChargePoint Home (ChargePoint Holdings)

One high-severity inconsistency was recorded for ChargePoint Home, on weather rating.

When asked "Is ChargePoint Home Flex a good charger?", Google AI Overviews stated the unit carries a NEMA 3 weather rating and is not as heavily sealed against driving torrential downpours as NEMA 4-rated alternatives, citing EnergySage, evchargerreviews.net, and evchargingstations.com, while Copilot stated the housing is NEMA 4 rated for outdoor installation. Flagged excerpts support both sides, including one reading "Not NEMA 4 rated" and another reading "The housing is NEMA 4 rated for outdoor installation."

Grizzl-E (United Chargers Inc.)

One high-severity inconsistency was recorded for Grizzl-E, on maximum output.

When asked "What is the best electric car charger to buy?", Gemini stated the Grizzl-E Classic and Ultimate maximum output ranges from 40A to 48A (9.6 kW to 11.5 kW), citing Charge & Go, MotorWatt, and Car and Driver, while Copilot stated the Grizzl-E Ultimate is 80A and up to 19.2 kW, citing MotorTrend, an "honest scored comparison" page, and Car and Driver. Flagged excerpts on the Copilot side read "Grizzl-E Ultimate 80A Maximum AC charging speed 80A / 19.2 kW Hardwired only."

Benchmark Context

Questions This Section Answers

• How does the qualified benchmark set differ from the raw prompt collection?
• What allows month-to-month coverage changes to be read as measured movement?

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

The series spans July 2026 through October 2026. The August 2026 and September 2026 runs sat between these two points, carrying 554 and 568 qualified observations respectively. The platform set, company roster, and query-volume treatment remain consistent across the four months on a comparable instrument version, and no instrument break was recorded, which is what allows the percentage changes below to be read as measured movement.

Benchmark-Level Metrics

September 2026 is worth noting for interpretation: recommendation-shaped answer share reached 49.6% that month before easing to 48.4% in October, and qualified observations peaked at 568 before falling to 539. The October decline in brand coverage therefore occurred against a slightly smaller qualified denominator, not a larger one.

AI Recommendation Trend

Questions This Section Answers

• Which brands still held recommendation coverage in October 2026, and where did they rank?
• Did the category movement come from coverage shifting between brands or from brands exiting the set?

Coverage by Brand, Baseline to Current

Leadership changed hands in October 2026 as seven of nine tracked brands fell to zero qualified coverage, leaving Wallbox Pulsar Plus atop the category with the field collapsed beneath it. The two brands that retained any coverage, Wallbox Pulsar Plus and Lectron, both moved within normal variation on the month; neither exceeded the threshold that would mark it as a genuine gainer. The category-level change came from the simultaneous exit of seven brands from the recommendation set, not from a redistribution of coverage toward the remaining two.

What Changed This Month

Questions This Section Answers

• How did the leading brands move from September to October 2026?
• Where did platform-level presence diverge from brand-level coverage?

ChargePoint Home: Leader to Zero Coverage

ChargePoint Home's valid recommendation coverage fell from 61.5% in July 2026 to 0.0% in October 2026, a decline of 61.5 points. The prior-to-current move is equally stark: 53.3% in September 2026 to 0.0% in October, a fall of 53.3 points. This is the third consecutive month of decline for the brand.

The placement collapse matches the coverage collapse. ChargePoint Home recorded 414 present observations and 319 valid recommendations in August 2026, 409 present observations and 303 valid recommendations in September 2026, and zero of each in October 2026. Its raw mention presence rate went from 72.0% in September to 0.0% in October. In July 2026 the brand sat in 412 present observations with 329 valid recommendations.

The distinction worth holding onto is that the platform-level record does not agree with the brand-level record. October 2026 platform summaries show ChargePoint Home as the top authority company on Google AI Mode and Copilot, with observed presence on those surfaces. The brand-level coverage metric and the platform-level presence signal are separate readings, and they diverged this month.

Highest-priority diagnostic: Why does platform-level presence persist for ChargePoint Home while brand-level qualified coverage reads zero, and which qualification stage is separating the two?

Tesla Wall Connector: Presence and Coverage Fall Together

Tesla Wall Connector's valid recommendation coverage fell from 56.3% in July 2026 to 0.0% in October 2026, a decline of 56.3 points. The prior-to-current move is 51.8% in September 2026 to 0.0% in October, a fall of 51.8 points.

The brand entered October as the category's strongest presence performer, with 410 present observations and 278 valid recommendations in August 2026 and 429 present observations and 294 valid recommendations in September 2026. Raw mention presence stood at 75.5% in September. In October 2026 the brand recorded zero present observations and zero valid recommendations, and the platform summaries show only two companies present across every surface.

Every supporting metric moved with it. The top-three recommendation rate fell from 48.8% in July 2026 to 0.0% in October, and rank-one recommendations fell from 21.1% to 0.0% across the same span. Net sentiment, which the benchmark tracks separately from presence, reads 0.7 in July 2026 and 0.0 in October 2026.

Highest-priority diagnostic: Whether the October reading reflects a change in how AI systems surface this product or a change in the qualified observation set itself, given that the platform summaries still list only two companies present across all six surfaces.

Emporia EV Charger: Three-Month Slide Completes

Emporia EV Charger's valid recommendation coverage fell from 46.0% in July 2026 to 0.0% in October 2026, a decline of 46.0 points. The brand had already declined every month of the series: 46.0% in July, 43.3% in August, 39.8% in September, and 0.0% in October.

Placement tells the same story. In September 2026 the brand held 264 present observations, 226 valid recommendations, and a rank-one rate of 8.8%. In October 2026 it recorded zero present observations and zero valid recommendations.

The detail worth noting is that Emporia's rank-one rate had been rising even as its overall coverage declined, from 5.6% in July 2026 to 8.8% in September. That pattern of narrowing presence paired with improving top placement did not survive into October.

Highest-priority diagnostic: Whether the prompts that had been elevating Emporia to rank one were removed from the qualified set or changed their recommendation behavior.

Grizzl-E: The Steadiest Series in the Category Stops

Grizzl-E's valid recommendation coverage fell from 37.2% in July 2026 to 0.0% in October 2026, a decline of 37.2 points. Until October it had been the most stable series in the category: 37.2% in July, 35.6% in August, 38.6% in September. The September figure was slightly above the July baseline.

The brand entered October with 251 present observations, 219 valid recommendations, high presence at 44.2%, and a net sentiment score of 0.9, among the strongest in the category. In October 2026 it recorded zero present observations and zero valid recommendations.

The distinction here is sentiment versus availability. Grizzl-E's positive sentiment did not degrade over the series, and it was the second-most-recommended brand by count in September 2026 after ChargePoint Home. Sentiment, presence, and coverage are separate signals in this benchmark, and October separates them sharply.

Highest-priority diagnostic: Whether Grizzl-E's September momentum reversed because of a change in AI answer composition or a change in the prompt set reaching the qualified stage.

Wallbox Pulsar Plus: Leadership by Default

Wallbox Pulsar Plus now leads the category at 15.4% valid recommendation coverage in October 2026, down 8.3 points from 23.7% in July 2026. The prior-to-current move runs the other way: 14.4% in September 2026 to 15.4% in October, up 1.0 point and within normal variation.

The brand holds 114 present observations and 83 valid recommendations in October 2026, with raw mention presence at 21.1% and a net sentiment score of 0.8. Its top-three recommendation rate is 7.2%, down 5.7 points from 12.9% in July 2026, and its rank-one rate is 1.5%, effectively flat against 1.7% in July.

The first-place position is a function of the field rather than the brand. Wallbox Pulsar Plus lost 8.3 points from baseline itself. It ranks first because seven brands that once held coverage now hold none.

Highest-priority diagnostic: Which prompts are still producing Wallbox recommendations, and whether the brand's 83 valid recommendations concentrate on a small number of surfaces.

Lectron: Stability in a Collapsing Field

Lectron's valid recommendation coverage moved from 11.0% in July 2026 to 11.9% in October 2026, up 0.9 points and within normal variation. It is the only brand in the category whose coverage did not fall from baseline.

The brand recorded 126 present observations and 64 valid recommendations in October 2026, with raw mention presence at 23.4% and 11 rank-one recommendations. Two supporting metrics did move beyond variation despite the flat coverage: the top-three recommendation rate rose from 3.5% in July 2026 to 7.0% in October, and the rank-one rate rose from 0.0% to 2.0%. Net sentiment improved from 0.4 to 0.6 over the same span.

The distinction to draw is that Lectron's overall recommendation footprint held steady while its placement within that footprint improved. In a month where seven brands lost all coverage, a flat line with improving placement is the strongest relative result recorded.

Highest-priority diagnostic: Whether Lectron's top-three and rank-one gains come from prompts the brand was already present in, or from prompts vacated by the brands that fell to zero.

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters carried brand coverage this month?
• Why does the benchmark report price conflicts yet show no pricing-cluster coverage?

In October 2026, recommendation-shaped answers made up 48.4% of qualified observations, up 4.7 points from 43.7% in July 2026. The qualified observations that produced brand coverage this month fell into the Brand Recommendation class.

The October 2026 data shows comparison and pricing clusters at zero across the brand roster, which means the public benchmark cannot yet quantify how AI systems frame price, value, or head-to-head comparisons in this category. That gap matters more than usual this month. The AI Response Inconsistency Alerts above show that price disagreement is the single most common factual conflict across platforms, appearing in eighteen of the twenty-two flagged items, yet the pricing intent cluster carries no brand-level coverage in the public metrics. The benchmark is reporting conflicting price claims in one section and reporting no pricing-cluster coverage in another, and those two readings are not in tension. They are measuring different things: the conflict layer reads what platforms said, and the cluster layer reads which qualified observations carry a brand recommendation.

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.

About This Benchmark

This report is part of the CiteWorks Studio AI Visibility Industry Market research program.

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

Report-Specific Interpretation Notes

• Movement in this report is measured from July 2026 (baseline) to October 2026 (current). August 2026 and September 2026 are intermediate months and appear in prose only, never as comparison columns.
• Seven brands moved beyond normal month-to-month variation from baseline; all seven moved downward, and all seven now read zero valid recommendation coverage. Lectron and Siemens VersiCharge are the two brands classified stable, though Siemens VersiCharge's move was also downward and simply fell short of the variation threshold.
• The public metrics use the qualified benchmark set (535 observations in July 2026, 539 in October 2026), not the larger raw collection of 800 prompts.
• Counts in the October 2026 data are small or zero for most brands, and small-count movement should be read with the absolute counts beside it rather than as a percentage alone. Wallbox Pulsar Plus holds 83 valid recommendations and Lectron holds 64; every other brand holds zero.
• Movement identifies changes worth investigating; it does not by itself establish the cause of those changes.

Next Step

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

The aggregate percentages in this report sit on top of individual prompt-level decisions: which high-intent prompts a brand wins, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each option, and which external sources are shaping those answers. This month makes that layer visible. Seven brands lost all qualified coverage at once, two brands held, and the conflict layer recorded twenty-two high-severity factual disagreements about prices and specifications for the same products across six AI platforms.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It turns the benchmark's signal into an actionable view of where a brand stands and what to do next.

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