Francis Energy AI Visibility Market Strategy Report - EV Charging Networks

Answer Capsule

Francis Energy holds a raw mention presence rate of 0.39% across 509 qualified October 2026 observations in the EV Charging Networks benchmark, with zero valid recommendations and zero top-three placements. The brand is visible in only two observations and receives no recommendation credit in any of them. Its clearest weakness is the complete absence of recommendation-stage visibility, and its clearest opportunity is converting its narrow regional presence into valid recommendation coverage within the Brand Recommendation cluster.

Who This Report Is For

This report is for Francis Energy's marketing, communications, and category strategy teams, as well as regional operators and investors evaluating how the brand appears in AI-generated recommendations for EV charging networks.

Report Card

Executive Summary

Francis Energy registers a raw mention presence rate of 0.39% in the October 2026 EV Charging Networks benchmark, appearing in just two of 509 qualified observations. The brand receives zero valid recommendations, zero top-three placements, and zero rank-one positions. Its net sentiment score is 0.0, reflecting two neutral mentions and no positive or negative framing.

The brand's only measurable presence occurs on Google AI Mode, where it recorded two neutral mentions across 142 platform observations. On ChatGPT, Copilot, Gemini, Perplexity, and AI Overviews, Francis Energy does not appear at all in the October dataset. This is the narrowest platform footprint of any brand with nonzero presence in the benchmark.

The benchmark's single active cluster, Best Home EV Chargers Discovery and Evaluation, accounts for all 509 qualified observations. Within that cluster, Francis Energy's presence rate is 0.39%, and its valid recommendation coverage is 0.0%. The two clusters covering brand comparisons and pricing queries produced no qualified observations in October, so the benchmark cannot yet describe how Francis Energy performs in head-to-head or cost-focused prompts.

The category leader, EVgo, holds 9.8% valid recommendation coverage and 60.3% raw mention presence. Electrify America follows at 7.3% coverage and 62.3% presence. Francis Energy's gap to the leader is 9.8 percentage points in recommendation coverage and 59.9 percentage points in raw mention presence.

The clearest platform gap is the complete absence from ChatGPT, which alone accounts for 239,880 in total monthly AI opportunity value within the benchmark's modeled framework. The brand's only platform signal, on Google AI Mode, produced two neutral mentions with no recommendation credit.

The clearest opportunity is converting the brand's existing regional recognition into valid recommendation coverage. The benchmark shows that even small brands like FLO and Ionna, with 14 and 15 valid recommendations respectively, can achieve measurable recommendation-stage visibility. Francis Energy currently sits below that threshold.

What Francis Energy Is Winning

Questions This Section Answers

• Does Francis Energy have any negative AI mentions or unfavorable framing?
• Where does Francis Energy actually appear in AI responses, and how does its presence compare to Shell Recharge?

Francis Energy's measurable wins in the October 2026 benchmark are limited. The brand records zero negative mentions across all platforms, which means no AI system surfaced cautionary or unfavorable framing about the brand in the qualified dataset. Its net sentiment score of 0.0 reflects two neutral mentions and no positive or negative classification.

The brand's only platform presence is on Google AI Mode, where it appeared in two observations. This is a narrow but real signal that AI Mode surfaces the brand in some EV charging contexts, even though those appearances did not convert to recommendations.

Beyond these two data points, the benchmark does not show Francis Energy winning in any cluster, platform, or prompt type. The brand's presence rate of 0.39% is the second-lowest among all tracked brands with nonzero presence, ahead only of Shell Recharge at 0.37%. Its valid recommendation coverage of 0.0% places it alongside ChargePoint, ChargePoint Home, and Tesla Supercharger as brands with no recommendation credit in October.

Where Francis Energy Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Which platforms is Francis Energy completely absent from?
• How large is the recommendation gap between Francis Energy and EVgo?
• What does the benchmark's cluster structure reveal about Francis Energy's unmeasured performance?

Francis Energy's most significant gap is the complete absence of valid recommendation coverage. Across 509 qualified observations, the brand received zero recommendations, zero top-three placements, and zero rank-one positions. This means AI systems are not including Francis Energy in buyer shortlists when users ask for EV charging network recommendations.

The brand's raw mention presence rate of 0.39% is also critically low. Electrify America, the category's broadest presence leader, appears in 62.3% of qualified observations. EVgo, the recommendation leader, appears in 60.3%. Even Shell Recharge, which also has zero valid recommendations, achieves a 0.37% presence rate, nearly identical to Francis Energy. The gap between Francis Energy and the category's visible brands is substantial.

On a platform basis, Francis Energy is absent from five of the six tracked AI surfaces. ChatGPT, Copilot, Gemini, Perplexity, and AI Overviews produced no mentions of the brand in October. The brand's only presence is on Google AI Mode, where two neutral mentions appeared across 142 platform observations. This platform concentration means the brand is invisible to users who rely on ChatGPT, Copilot, or other major AI assistants for charging network recommendations.

The benchmark's cluster structure reveals an additional gap. All 509 qualified observations fall into the Brand Recommendation cluster. The Pricing and Value cluster and the Multi-Brand Comparison cluster produced no qualified observations in October. This means the benchmark cannot yet measure how Francis Energy performs when users ask about charging costs or request head-to-head comparisons. The brand's absence from the recommendation cluster suggests it would likely also be absent from those unmeasured clusters.

Compared to the strongest competitor, EVgo, Francis Energy's gap is stark. EVgo holds 9.8% valid recommendation coverage, 7.1% top-three rate, and 1.0% rank-one rate. Francis Energy holds 0.0% across all three metrics. The benchmark shows that EVgo converted 50 valid recommendations from its 307 mentions, while Francis Energy converted zero from its two mentions.

Biggest Opportunity

Questions This Section Answers

• What brands with modest recommendation counts show a path to measurable visibility for Francis Energy?
• What specific prompts represent the discovery and evaluation stage where Francis Energy needs recommendation credit?

Francis Energy's clearest opportunity is establishing valid recommendation coverage within the Brand Recommendation cluster. The benchmark shows that brands with even modest recommendation counts, such as FLO with 14 valid recommendations and Ionna with 15, achieve measurable recommendation-stage visibility. Francis Energy currently sits at zero.

The path from mention to recommendation requires the brand to appear in AI-generated answers to prompts like "What is the best charging station for home use?" and "What is the cheapest charging station?" These prompts appear in the benchmark's cluster prompt examples and represent the discovery and evaluation stage where buyer shortlists are formed. Francis Energy's two neutral mentions on Google AI Mode suggest the brand is retrievable in some contexts, but the absence of recommendation credit indicates that AI systems do not currently position it as a recommended option.

The opportunity is specific: increase the brand's presence in the public evidence layer that AI systems retrieve when forming recommendations. This includes owned content, third-party reviews, and citation-worthy sources that AI platforms can synthesize into recommendation-shaped answers.

Competitive Landscape

Questions This Section Answers

• Where does Francis Energy sit relative to EVgo and Electrify America in recommendation-stage metrics?
• Why does Francis Energy have no average recommended rank while other brands with zero top-three rate do?

EVgo holds the strongest recommendation-stage position in the October 2026 EV Charging Networks benchmark, with Electrify America as the closest challenger. Francis Energy sits at the bottom of the tracked set, with zero recommendation credit and minimal presence.

Average recommended rank covers rank-eligible recommendations only.

Francis Energy's position in the table reflects its zero recommendation credit. The brand has no rank-eligible recommendations, so its average recommended rank is not applicable. Its sentiment score of 0.0 reflects two neutral mentions with no positive or negative classification. The table shows that even brands with minimal presence, such as Shell Recharge at 0.00% top-three rate and 5.33 average rank, have some rank-eligible data. Francis Energy does not.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "What is the best charging station for home use?" Result: Francis Energy received a neutral mention but no recommendation credit in this observation.

Google AI Mode / Brand Recommendation Prompt: "What is the cheapest charging station?" Result: Francis Energy appeared as a neutral reference but was not included in the recommendation shortlist.

ChatGPT / Brand Recommendation Prompt: "What is the best EV car charger to buy?" Result: Francis Energy did not appear in the response. EVgo and Electrify America received recommendation credit.

Copilot / Brand Recommendation Prompt: "What's the best EV charger to get?" Result: Francis Energy was absent. Electrify America and EVgo appeared in top-three positions.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every prompt where Francis Energy appears, identify which competitors receive recommendation credit in those same responses, and document the citation sources AI systems retrieve when forming EV charging recommendations.

Phase 2: Recommendation Readiness Plan Prioritize the Brand Recommendation cluster prompts where Francis Energy has the clearest path from neutral mention to valid recommendation, focusing on home charging and cost-related queries.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly answers the high-intent prompts in the benchmark, structured for AI retrieval and synthesis.

Phase 4: Citation and Authority Layer Development Build the third-party citation footprint that AI systems use when forming recommendations, including review sites, editorial sources, and industry references.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Francis Energy's presence rate, valid recommendation coverage, and top-three rate month over month to measure progress against the October 2026 baseline.

Why This Matters

AI presence alone is not enough. Francis Energy appears in two AI observations but receives zero recommendation credit in either. The brand is mentioned but not chosen. This distinction matters because buyers who ask AI systems for charging network recommendations are forming shortlists, and Francis Energy is not on them.

The next move is targeted correction of the prompt, page, and citation layers. The benchmark shows that brands with even modest recommendation counts, such as FLO and Ionna, achieve measurable recommendation-stage visibility. Francis Energy's path from zero to measurable coverage requires building the public evidence layer that AI systems retrieve when forming recommendations.

Core Metrics

Sentiment Score

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

Francis Energy's sentiment score is 0.0000, calculated from two neutral mentions, zero positive mentions, and zero negative mentions across 509 qualified observations.

This score matters because unclassified mention counts are misleading. A brand with two neutral mentions and a brand with two positive recommendations are not equivalent. Francis Energy's neutral mentions indicate the brand is retrievable in some AI contexts but is not being framed as a recommended option. The sentiment score alone does not capture this distinction, which is why recommendation coverage must be measured separately.

Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, and Francis Energy's zero sentiment score reflects the absence of any positive or negative framing in its two mentions.

Sentiment by Platform

Questions This Section Answers

• On which platform does Francis Energy appear, and how is its presence classified?
• What is the readout for Francis Energy's presence on Google AI Mode versus the other five platforms?

Methodology

1. This report is a benchmark-based analysis of Francis Energy's AI visibility in the EV Charging Networks category for October 2026. It is not a client result and does not imply that CiteWorks Studio caused any benchmark outcome.
2. The reporting window is October 2026. The benchmark compares October 2026 data to July 2026 baseline data where available.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. The October 2026 benchmark collected 800 prompt-surface observations, of which 603 were unique questions. After qualification, 509 observations formed the public denominator for all brand-level metrics.
5. The competitor universe includes 10 tracked brands: Blink Charging, ChargePoint, ChargePoint Home (ChargePoint Holdings), Electrify America, EV Connect, EVgo, FLO, Francis Energy, Ionna, Shell Recharge, Tesla Supercharger, and Tesla Wall Connector (Tesla, Inc.).
6. One public cluster was active in October 2026: Brand Recommendation (C01), covering discovery and evaluation prompts. Two additional clusters, Pricing and Value (C02) and Multi-Brand Comparison (C03), produced no qualified observations.
7. Stage 0 extraction identified brand mentions, recommendation outcomes, placement, sentiment, and citation sources from raw AI responses.
8. A mention is defined as any appearance of the brand name in an AI response, regardless of whether the brand is recommended.
9. A valid recommendation is defined as an explicit recommendation of the brand in a response, with rank credit assigned for positions 1 through 10.
10. Francis Energy's two mentions were both classified as neutral. Neither received valid recommendation credit.
11. The benchmark's public version does not expose unique prompt counts per brand. All percentages are calculated against the 509 qualified observations.
12. Limitations: The benchmark measures brand recommendation discovery only. It does not measure market share, attributable sales, organic search ranking, or private channels. A metric movement alone does not establish causality.

See How AI Is Recommending Your Brand

The public benchmark shows where Francis Energy stands in AI-generated recommendations. A company-level AI visibility audit maps the specific prompts, competitors, and citation sources shaping those recommendations, and identifies the clearest path from neutral mention to valid recommendation.