How AI Search Is Recommending EV Charging Networks: Monthly Trends

Executive Summary

ChargePoint Home (ChargePoint Holdings) leads EV Charging Networks with 30.5% valid recommendation coverage in September 2026, holding a 2.9-point gap over Tesla Wall Connector (Tesla, Inc.) at 27.6%. This marks a return to the two-brand leadership structure seen in July, after an August tracking shift split the category into a four-brand cluster. The leader's position is stable against the July baseline of 28.3%, a 2.2-point gain that does not exceed normal variation.

The strongest upward mover this month is ChargePoint Home (ChargePoint Holdings), which rose 30.5 points from 0.0% in August to 30.5% in September. This follows the August tracking change that replaced the entity with "ChargePoint" (18.3% in August); September restores the original tracked name. Tesla Wall Connector (Tesla, Inc.) similarly returned at 27.6% after August tracked "Tesla Supercharger" at 16.6%.

The sharpest decliner is Blink Charging, down 5.2 points from August's 5.8% to 0.6% in September, and down 2.3 points from the July baseline of 2.9%. This is the category's only significant movement classified against the baseline. The broader August surge among network operators, including Electrify America (16.6% to 5.2%) and EVgo (16.4% to 6.3%), reversed this month, returning those brands to near their July levels.

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

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.

These benchmark-level figures set the context for the brand-by-brand standings that follow. August's 535 qualified observations sat between the two comparable months; the September funnel qualified 521 observations from 729 relevant prompts.

Benchmark-Level Metrics

The recommendation-shaped answer share dipped in August to 12.0% before recovering to 23.0% in September, while the valid recommendation shortlist share rose steadily from 15.5% in August to 29.0% this month.

AI Recommendation Trend

The Two-Brand Leadership Structure Has Returned

September 2026 restores the leadership configuration seen in July. ChargePoint Home (ChargePoint Holdings) leads at 30.5%, with Tesla Wall Connector (Tesla, Inc.) close behind at 27.6%. The August tracking entities, ChargePoint and Tesla Supercharger, are no longer tracked under those names, which explains their 0.0% figures this month. The rest of the category sits below 7%, a wide gap to the top two.

Only Blink Charging exceeded normal month-to-month variation against the July baseline. The category-level return to a two-brand structure came from the restoration of the original tracked entity names for ChargePoint and Tesla, combined with the reversal of August's broad gains among network operators.

What Changed This Month

ChargePoint Home (ChargePoint Holdings): Leader Restored to Form

ChargePoint Home (ChargePoint Holdings) reached 30.5% valid recommendation coverage in September, up 30.5 points from August's 0.0% figure for that entity name. Against the July baseline of 28.3%, the gain is 2.2 points, which does not exceed normal variation. The August capsule tracked the brand as "ChargePoint" at 18.3%; September returns to the original tracked name.

The brand appears in 390 of 521 qualified observations in September, a 74.9% raw mention presence. Its recommended top-three rate is 26.1% (136 observations), and its recommended rank-one rate is 9.4% (49 observations). Valid recommendation count is 159, with positive sentiment at 0.5.

ChargePoint Home is consistently recommended and holds the category lead on coverage, though Tesla Wall Connector holds a stronger single-top-pick position.

Highest-priority diagnostic: Which prompt patterns drive the brand's top-three placements, and which competitor appears when ChargePoint Home is not ranked first?

Tesla Wall Connector (Tesla, Inc.): Strong Rank-One Position Holds

Tesla Wall Connector (Tesla, Inc.) reached 27.6% valid recommendation coverage in September, up 27.6 points from August's 0.0% figure for that entity name. Against the July baseline of 26.2%, the gain is 1.4 points, within normal variation. August tracked the brand as "Tesla Supercharger" at 16.6%.

The brand leads the category on rank-one placement at 16.1% (84 observations), up from 11.5% in July, a gain of 4.6 points. Its recommended top-three rate is 25.7% (134 observations). Raw mention presence is the broadest in the category at 79.7%, with 415 present counts. Valid recommendation count is 144.

Tesla Wall Connector trails on overall coverage by 2.9 points but leads decisively on being the single recommended choice.

Highest-priority diagnostic: Which evidence sources drive the brand's rank-one dominance, and why does that strength not extend to a larger coverage lead?

Blink Charging: Significant Decline in Recommendation Coverage

Blink Charging's valid recommendation coverage fell to 0.6% in September from 2.9% in July, a decline of 2.3 points that exceeds normal variation for the category. This is the category's only significant baseline movement this month. The brand's valid recommendation count dropped to 3 from 15 in July.

Raw mention presence was stable at 22.8% versus 22.7% in July, meaning the brand was mentioned at similar rates but recommended far less often. Its recommended top-three rate fell to 0.0% from 1.0%, a decline of 1.0 points. Blink Charging had zero rank-one and zero top-three observations in September, against 5 top-three and 1 rank-one in July.

Blink Charging lost recommendation credit while maintaining its presence level, indicating AI systems are mentioning it without recommending it.

Highest-priority diagnostic: Which prompt clusters shifted from naming Blink Charging as a recommendation to naming it only as an option, and which brands took its place?

Electrify America and EVgo: August Surge Reverses

Electrify America's valid recommendation coverage settled at 5.2% in September, down 11.4 points from August's 16.6% and essentially flat against the July baseline of 5.4%. Raw mention presence fell to 68.0% from 75.9% in July, a decline of 7.9 points. Its valid recommendation count is 27.

EVgo's coverage is 6.3% in September, down 10.1 points from August's 16.4% and up 0.9 points from July's 5.4%. Raw mention presence fell to 66.8% from 74.4% in July, a decline of 7.6 points. EVgo's valid recommendation count is 33, with 2 rank-one observations (0.4%) versus 0 in July.

Both brands returned to near-baseline coverage after August's surge. Their presence rates also declined over the same period, but the data does not establish why.

Highest-priority diagnostic: Were the August gains concentrated in specific prompt types, and did those same prompts drive the September retreat?

Buyer-Intent Interpretation

In September 2026, all 521 qualified observations fell into the Brand Recommendation cluster. No observations qualified for Pricing & Value or Multi-Brand Comparison, consistent with August. The public benchmark can describe which brands AI systems recommend when asked generally, but it cannot yet answer which brand wins on price, value, or in explicit head-to-head comparisons.

Brand Opportunity Summary

The benchmark identifies where attention is warranted across all ten tracked brands; 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 Market Discovery research program.

• AI Industry Market Discovery
• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• Small-count movement: Brands like Francis Energy (6 present counts, 0 valid recommendations), EV Connect (2 valid recommendations), and Shell Recharge (2 valid recommendations) have small observation bases. Their percentage movements should be read with the counts beside them.
• Qualified denominator: All percentages are calculated against the 521 qualified observations in September, 515 in July, and 535 in August, not the 800 prompts collected. The funnel excludes irrelevant and reserved prompts.
• Tracking changes: July and September track "ChargePoint Home (ChargePoint Holdings)" and "Tesla Wall Connector (Tesla, Inc.)," while August tracked "ChargePoint" and "Tesla Supercharger." Baseline-to-current comparisons for these brands describe the restored entity names rather than organic movement from August.
• 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 ChargePoint Home leads on coverage while Tesla Wall Connector dominates rank-one placements, but it does not show which sources and prompts drive those outcomes.

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.

Request an AI visibility audit