How AI Search Is Recommending EV Charging Networks: Monthly Trends

Executive Summary

EVgo takes the category lead in October 2026 with 9.8% valid recommendation coverage, a 2.5-point gap over Electrify America at 7.3%. It is the category's only significant riser against the July baseline, up 4.4 points from 5.4%. September's co-leaders, ChargePoint Home (ChargePoint Holdings) at 30.5% and Tesla Wall Connector (Tesla, Inc.) at 27.6%, both register 0.0% this month because neither entity name was tracked in the October run. That is a tracking-structure change, not a competitive decline, and it reframes the entire October leaderboard.

The strongest upward mover with sustained coverage is EVgo, at 9.8% coverage, 7.1% recommended top-three rate (36 observations), and 1.0% recommended rank-one rate (5 observations). EVgo had previously held 5.4% in July, 16.4% in August, and 6.3% in September before this month's 9.8%. Blink Charging is the sharper single-month riser, up 4.7 points from 0.6% in September, but that move does not exceed the baseline threshold; against the July baseline of 2.9%, Blink Charging sits up 2.4 points, which the benchmark classifies as stable.

The sharpest decliner is ChargePoint Home (ChargePoint Holdings), down 28.3 points from 28.3% in July to 0.0% in October, entirely accounted for by the change in tracked entity name. Its presence rate fell from 71.1% to 0.0% and its rank-one rate from 13.2% to 0.0% over the same window. Tesla Wall Connector (Tesla, Inc.) shows the same pattern, down 26.2 points from 26.2% to 0.0%, with presence falling from 81.9% to 0.0%.

Against the prior month, nine of the twelve tracked brands are classified stable. The benchmark records significant movement only for EVgo (up) and the two 0.0% entities (down). August's broad surge among network operators has now fully unwound, and the category leadership that July and September recorded at the top has been replaced by a mid-single-digit cluster in which no brand exceeds 10% coverage.

Each monthly run begins with 800 prompt-surface observations (549 unique questions in July 2026, 581 in August, 597 in September, and 603 in October) across the benchmark's defined AI/search surface universe. Of those, 800 mentioned a tracked brand or competitor in every month; 699 were relevant and 101 irrelevant in July, 725 and 75 in August, 729 and 71 in September, and 692 and 108 in October. The public metrics use the 515 qualified observations in July, 535 in August, 521 in September, and 509 in October that survive both qualification stages.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• Which AI platforms are disagreeing about EV charger pricing, reliability, and charge times?
• Where did the conflict audit find the same source cited for different claims?

The benchmark's conflict audit detected 12 critical or high-severity factual inconsistencies across 5 AI platforms: ChatGPT, Copilot, Gemini, AI Mode, and AI Overviews.

Tesla Wall Connector (Tesla, Inc.)

Six high-severity conflicts involve the Tesla Universal Wall Connector and Tesla Wall Connector, all on pricing. When asked "What is the best electric car charger for home?", ChatGPT stated the Tesla Universal Wall Connector costs about $595–$600 while AI Mode stated $1,399.00, citing MotorTrend and a Google shopping product listing. A second conflict on the same question has AI Overviews stating the Tesla Wall Connector costs around $450 while AI Mode states $1,499.00, both drawing on the same MotorTrend page, which the audit flagged as reading "PRICE WHEN TESTED $450." When asked "What is the best EV charger on the market?", AI Overviews gave around $450 while AI Mode gave $1,499.00, again citing MotorTrend alongside EnergySage product pages. A fourth pricing conflict repeats that pairing on the question "Which is the best EV charger to buy?" The flagged MotorTrend page is cited by the lower-price side in each.

Two further conflicts concern charging access rather than price. When asked "Can Macan EV use tesla charger?", Gemini stated that charging speeds at standard Tesla Superchargers will typically peak around 135 kW, while Copilot stated Tesla Supercharger speed reaches up to 250 kW. On the same question, Gemini stated that Macan Electric owners can use Plug & Charge via the Porsche Charging Service with automatic billing and no app or credit card, while Copilot stated that at launch Tesla charging requires the Tesla app and that seamless Porsche app integration is coming later, citing Porsche's own newsroom and a Porsche dealer page.

EVgo

Four high-severity conflicts involve EVgo, spanning reliability and pricing. When asked "What is the most reliable EV charging station?", AI Mode stated EVgo routinely scores high for operational uptime, averaging over 98% across many operational metrics, while Copilot stated EVgo has a roughly 42% problem rate, citing ChargeHub and a reliability report. When asked "Who is the cheapest EV charging provider?", Gemini stated EVgo typically ranges between $0.38 and $0.40 per kWh for fast charging while Copilot stated $0.28–$0.32/kWh, citing The Juice Index, which the audit flagged for the claim that EVgo is the cheapest major DC fast-charging network at that rate. ChatGPT stated about $0.51–$0.61/kWh at EVgo's Renaissance Center station, citing the company's own time-of-use pricing page, against Copilot's $0.28–$0.32/kWh. A fourth conflict pairs ChatGPT's $0.51–$0.61/kWh with Gemini's $0.38–$0.40/kWh.

Blink Charging

One high-severity conflict involves Blink Charging, on revenue growth. When asked "Is Blink Charging a good stock to buy?", Copilot stated overall revenue was down about 24% year over year in one response and, in a separate response to the same question, stated revenue of $96.6M declining 5.9% year over year. The audit flagged TickerNerd and StrongBuyAnalytics for the 24% figure and StockAnalysis for the 5.9% figure.

Electrify America

One high-severity conflict involves Electrify America, on charge time. When asked "Which charging stations charge the fastest?", ChatGPT stated a 350 kW charger can add hundreds of miles of range in roughly 15 to 30 minutes for compatible vehicles, while Copilot stated Electrify America and EVgo 350 kW CCS chargers deliver 10–80% in about 8–9 minutes. Electrify America's own "What to Expect" page, flagged by the audit, reads "in as little as 30 minutes."

Benchmark Context

Questions This Section Answers

• How many October prompts qualified for the benchmark, and what happened to the rest?
• What benchmark-level metrics shifted between July and October?

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

August qualified 535 observations and September 521, both between the two comparable months shown here. The October funnel qualified 509 observations from 692 relevant prompts.

Benchmark-Level Metrics

The valid recommendation shortlist share has risen every month in the series: 25.2% in July, 15.5% in August, 29.0% in September, and 35.8% in October. Recommendation-shaped answer share dipped to 12.0% in August before recovering to 23.0% in September and 26.7% this month.

AI Recommendation Trend

Questions This Section Answers

• Who leads the October AI recommendation standings, and how compressed is the field?
• Which brand's movement actually cleared the significance threshold against the July baseline?

The Leadership Cluster Compressed After Two Entity Names Left the Tracking Set

The October table reflects 8 of the 10 tracked brand names carrying any coverage, with two 0.0% rows for entities that were not tracked this month. EVgo leads at 9.8%, Electrify America follows at 7.3%, and the rest of the active field sits at or below 5.3%.

Only EVgo exceeded normal month-to-month variation against the July baseline. The category-level leadership change came from the combination of several smaller movements plus the removal of two high-coverage entity names from this month's tracking set, not from a single brand's displacement of another.

What Changed This Month

Questions This Section Answers

• Why did EVgo's recommendation coverage rise while its raw mention presence fell?
• Why do ChargePoint Home and Tesla Wall Connector show 0.0% in October?
• Which brands posted small directional gains, and how small are their observation counts?

EVgo: The Category's Only Significant Riser

EVgo's valid recommendation coverage reached 9.8% in October, up 4.4 points from 5.4% in July and up 3.5 points from 6.3% in September. The prior-to-current move is also significant, making EVgo the only brand in the category whose rise clears the threshold on both comparisons.

Its recommended top-three rate rose from 2.7% in July to 7.1% in October, and its recommended rank-one rate from 0.0% to 1.0%, or 2 observations in July against 5 in October. Valid recommendation count is 50, up from 28 in July. Its average recommended rank improved from 3.36 to 2.98.

Notably, EVgo's raw mention presence fell over the same window, from 74.4% in July to 60.3% in October, a 14.1-point decline the benchmark classifies as significant. The brand is being mentioned in fewer answers but recommended in a larger share of the ones where it appears.

Highest-priority diagnostic: Which prompt types converted from mention-only to recommendation, and whether those same prompts also produced the September to October gain.

ChargePoint Home (ChargePoint Holdings) and Tesla Wall Connector (Tesla, Inc.): Two 0.0% Rows

Both brands register 0.0% valid recommendation coverage in October, down 28.3 and 26.2 points respectively from their July baselines. Both declines are classified significant. Each brand's presence rate and rank-one rate also fell to zero: ChargePoint Home from 71.1% presence and 13.2% rank-one in July, Tesla Wall Connector from 81.9% presence and 11.5% rank-one.

Neither entity name appears in the October tracked set. The October run tracks "ChargePoint" and "Tesla Supercharger" instead, and both of those names show 0.0% for the month. No brand in the October data records presence or recommendation credit under any of the four name variants.

The distinction the reader should notice is that a 0.0% row here reflects a tracking-structure change rather than a measured collapse in AI recommendation behavior. The two names accounted for roughly 55 points of combined category coverage in July, and their absence is the largest single factor separating October's leaderboard from the baseline.

Highest-priority diagnostic: Which naming convention the AI surfaces actually use for these brands in October prompts, and whether recommendation credit is being attributed to a differently named entity in the underlying responses.

Blink Charging: Presence Flat, Recommendation Credit Up

Blink Charging's valid recommendation coverage is 5.3% in October, up 2.4 points from 2.9% in July but classified stable against the baseline. The sharper move is prior-to-current: up 4.7 points from 0.6% in September, which is significant. The four-month series runs 2.9%, 5.8%, 0.6%, 5.3%.

Its recommended top-three rate rose from 1.0% in July to 2.8% in October (14 observations), a significant gain. Valid recommendation count is 27, up from 15 in July and 3 in September. Its net sentiment score is 0.2, up from 0.1 in July.

Raw mention presence moved the other way, from 22.7% in July to 19.7% in October, a 3.0-point decline that does not exceed normal variation. The brand is mentioned less often and recommended more often than at baseline.

Highest-priority diagnostic: Whether the September trough and October recovery sit in the same prompt clusters, and which competitors appear in the answers Blink Charging no longer occupies.

Electrify America: Presence Down, Placement Up

Electrify America's coverage is 7.3% in October, up 1.9 points from 5.4% in July and up 2.1 points from 5.2% in September. Neither move is classified significant, but the direction has been consistent for two months.

Its recommended top-three rate rose from 2.7% in July to 5.1% in October, a gain of 2.4 points that is significant, covering 26 observations. Valid recommendation count is 37, up from 28 in July. Its rank-one rate is 0.2%, unchanged.

Raw mention presence fell significantly, from 75.9% in July to 62.3% in October, a 13.6-point decline. Electrify America holds the broadest presence in the October field at 62.3%, still ahead of EVgo at 60.3%.

Highest-priority diagnostic: Which surfaces are driving the placement gain while presence contracts, and whether the two are linked to the same prompt types.

FLO and Ionna: Small Counts, Directional Gains

FLO's coverage is 2.8% in October, up 1.6 points from 1.2% in July and up 2.0 points from 0.8% in September, the latter significant. Valid recommendation count is 14. Ionna's coverage is 2.9%, up 1.7 points from 1.2% in July and up 1.4 points from 1.5% in September, neither significant. Valid recommendation count is 15. Both brands remain stable against the baseline on small observation counts, and their percentage movements should be read with those counts beside them.

Highest-priority diagnostic: Whether these two brands are winning distinct prompt territory or competing for the same residual recommendation slots beneath the leading cluster.

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent clusters did the October benchmark actually capture?
• What can the benchmark not yet say about pricing, value, or head-to-head comparisons in EV charging?

In October 2026, all 509 qualified observations fell into the Brand Recommendation cluster. No observations qualified for Pricing & Value or Multi-Brand Comparison, consistent with August and September. The public benchmark can therefore describe the order in which AI systems recommend EV charging networks when asked generally, but it cannot yet answer which brand wins on price, on value, or in an explicit head-to-head comparison.

That gap is material for this category, because the conflict audit above shows that AI platforms are actively disagreeing about EVgo's charging rates, Blink Charging's revenue trend, and Electrify America's charge times on prompts that do reach pricing and speed questions. Those disagreements are being generated outside the qualified benchmark denominator, so this report can document that they exist without being able to rate brands on the underlying claims.

Brand Opportunity Summary

Questions This Section Answers

• Which brands warrant attention this month, and what diagnostic should each one run next?

The benchmark identifies where attention is warranted across all twelve tracked names; a company-level analysis is needed to explain why those patterns exist.

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 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 movement: Several brands in this month's field carry small observation bases. Francis Energy recorded 2 present counts and 0 valid recommendations, Shell Recharge 3 valid recommendations, and EV Connect 10, FLO 14, and Ionna 15. Their percentage movements should be read with the counts beside them.
• Qualified denominator versus raw collection: All percentages are calculated against the 509 qualified observations in October, not the 800 prompts collected. The funnel excludes irrelevant and reserved prompts.
• Tracking-structure changes: July, September, and October do not all track the same entity names. July and September tracked "ChargePoint Home (ChargePoint Holdings)" and "Tesla Wall Connector (Tesla, Inc.)"; August tracked "ChargePoint" and "Tesla Supercharger"; October tracks both name sets, with the longer-form names showing 0.0%. Baseline-to-current comparisons for these brands describe the tracked entity names rather than organic movement.
• Directional analysis: Month-over-month 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.

Beneath the aggregate percentages sit the questions that matter: 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 shape those answers. The public benchmark shows that EVgo leads the October field and that two high-coverage entity names left the tracking set, but it does not show which prompts and evidence sources drive either outcome.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It identifies not just where a brand stands, but why it stands there and what would move the position.

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