Shell Recharge Appears in 8.3% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Shell Recharge is mentioned in AI answers, but recommendations are rare and there are no Top 3 or first-place placements.
  • The main issue is an endorsement gap: the brand is present in answers without being put forward as a choice.
  • No conflicting claims were recorded in the captured answers, so the first step is measurement and source review rather than correction.
  • Priority work focuses on third-party roundup pages, key company pages, and buyer questions about cost, app coverage, and provider comparisons.

Answer Capsule

In November 2026, Shell Recharge appeared in 26 of 314 AI answers included in the EV Charging Networks benchmark (8.28%). It received 2 recommendations (0.64%), with 0 Top 3 placements and 0 first-place recommendations. A mention means the company appeared in an answer; a recommendation means the answer affirmatively endorsed it.

Our plan compares the company with its competitors, checks conflicting AI claims against reliable sources, and identifies website pages, third-party sources and buyer questions to address. The historical results show how the figures changed across available months. Different monthly samples limit those comparisons, and conflicting AI claims require verification before corrections are proposed.

Current AI visibility

Questions This Section Answers

  • How do Shell Recharge mentions, recommendations and placements compare with its EV Charging Networks peers?

Shell Recharge recorded 26 mentions (8.28%) and 2 recommendations (0.64%) across 314 answers included in the benchmark. Top 3 placements numbered 0; first-place recommendations numbered 0. Framing among its mentions was 4 positive, 21 neutral and 1 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Tesla Wall Connector (Tesla, Inc.)

298

94.90%

131

41.72%

128

40.76%

89

28.34%

2

ChargePoint Home (ChargePoint Holdings)

270

85.99%

130

41.40%

117

37.26%

36

11.46%

3

EVgo

184

58.60%

41

13.06%

25

7.96%

0

0.00%

4

Electrify America

181

57.64%

37

11.78%

24

7.64%

0

0.00%

5

Ionna

71

22.61%

26

8.28%

10

3.18%

2

0.64%

6

Blink Charging

73

23.25%

17

5.41%

2

0.64%

0

0.00%

7

EV Connect

24

7.64%

8

2.55%

0

0.00%

0

0.00%

8

FLO

16

5.10%

5

1.59%

1

0.32%

1

0.32%

9

Shell Recharge

26

8.28%

2

0.64%

0

0.00%

0

0.00%

10

Francis Energy

3

0.96%

1

0.32%

0

0.00%

0

0.00%

Shell Recharge appears in a modest share of answers but is almost never endorsed. The gap between mentions and recommendations is the central finding: the brand is present in the conversation without being put forward as a choice. That distinction matters because presence alone does not steer a buyer toward the network.

Framing is mostly neutral, with a small positive and a single negative mention. Neutral wording suggests the brand is acknowledged rather than advocated. The agency would treat this as a positioning problem to investigate, not a reputation crisis, and would look at how the brand is described when it does surface.

The absence of any shortlist or first-place placements reinforces the same picture. Proposed work would focus on earning affirmative recommendations rather than simply increasing mentions, since more neutral appearances would not close the endorsement gap on their own.

What changed since last month

Questions This Section Answers

  • How did Shell Recharge counts and coverage differ across the available monthly snapshots?

Metric

Jul 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

31 / 515 (6.02%)

35 / 521 (6.72%)

19 / 509 (3.73%)

26 / 314 (8.28%)

Recommendations

5 / 515 (0.97%)

2 / 521 (0.38%)

3 / 509 (0.59%)

2 / 314 (0.64%)

Top 3 recommendations

1 / 515 (0.19%)

1 / 521 (0.19%)

0 / 509 (0.00%)

0 / 314 (0.00%)

#1 recommendations

0 / 515 (0.00%)

0 / 521 (0.00%)

0 / 509 (0.00%)

0 / 314 (0.00%)

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

From October 2026 to November 2026, Shell Recharge's mention count rose from 19 to 26, while its recommendation count fell from 3 to 2. The recommendation rate was 0.59% and 0.64% respectively.

Across the verified months, mentions have moved without a matching movement in recommendations. The latest month shows more mentions than the prior one while recommendations slipped by a single count. These are separate samples, so the two movements should be read side by side rather than linked.

The recommendation rate has stayed low throughout, and shortlist and first-place placements have been absent or near absent. That pattern suggests the endorsement gap is persistent rather than a one-month blip. The agency would track recommendations as the headline measure and treat mention swings as context.

Because the monthly answer sets differ, the report cannot say why counts moved. Proposed work would keep the monthly scorecard consistent so future comparisons rest on the same definitions.

AI recommendation trend

Observed recommendation rate (%), Jul 2026 to Nov 2026

0%0.25%0.5%0.75%1%Jul 2026Sep 2026Oct 2026Nov 20260.97%Jul 2026: 0.97%0.38%Sep 2026: 0.38%0.59%Oct 2026: 0.59%0.64%Nov 2026: 0.64%
  • Shell Recharge0.64%

Separate selected monthly samples. Missing points are unavailable, not zero. Provider/prompt equivalence is unverified; rate movement does not demonstrate causation.

/ Take the next step

Want to Understand Your AI Citation Footprint?

We start every engagement with a full audit of how AI systems reference your brand today.

Measurable, Repeatable Programme

Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge

Citation Architecture Review

Identify which high-authority community sources are and aren't working in your favour across AI platforms.

AI Visibility Audit

Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.

Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for Shell Recharge?

AI answers contained 0 conflicting claims about Shell Recharge: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

No conflicting claims about Shell Recharge were recorded in the captured answers, so there is no fact-check queue to clear at this stage. That is a useful starting position: the priority shifts from correcting errors to understanding why the brand is described without being recommended.

A visibility comparison would set Shell Recharge against the networks that are endorsed, showing where it appears alongside them and where it is absent. A scoped claims register would still be worth maintaining, so any future conflict is caught early and rated before anyone acts on it.

Proposed work would pair the comparison with a shortlist of pages and sources worth reviewing. The aim is to give the client a clear order of work rather than a broad audit.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Shell Recharge should be verified before proposed page edits?

No results are available for this part of the analysis.

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

This part of the analysis returned no results, so there are no disputed topics to resolve for Shell Recharge in this cycle. The agency would not manufacture a correction list to fill the gap. Instead, it would confirm that the absence is genuine and note it in the scorecard.

Where claims do surface in future cycles, the first step is to establish the entity, the date and the source behind each one. Different dates can make two statements look contradictory when they are not. Only after that check would a page brief be proposed.

Any proposed correction would rest on current primary-source verification, and ambiguous company matches would stay outside the queue.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for Shell Recharge?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://shelllumber.com/products/milwaukee-48-59-1807-rapid-charge-station-18-12-v-input-1-hr-charge-battery-included-no?_gsid=4W9wZ9LA9dw2&variant=45340997550231

1

1

0

https://evb.com/best-ev-charging-companies/

22

8

0

https://energydigital.com/top10/top-10-ev-charging-platforms

11

4

0

https://chargelab.co/blog/biggest-electric-vehicle-charging-companies

13

3

0

https://chargepoint.com/drivers/mobile

10

3

0

https://kbb.com/car-advice/electric-vehicle-charging-apps/

5

3

0

These pages were selected because they relate to the company in the captured answers. Their current contents still need checking before any correction request. A page linked to a conflicting claim is not necessarily its cause, and the same answer may contribute to more than one row.

The cited pages skew toward third-party roundups and comparison articles rather than the company's own site. Several of these list-style pages were cited repeatedly and appeared in answers that mention Shell Recharge, which makes them worth reading closely before any request is made.

One cited page is clearly unrelated to the company and should be set aside rather than pursued. For the relevant roundups, the agency would check current contents first, then decide whether an evidence-backed request is justified. A citation does not prove a page shaped the answer.

Proposed work is a prioritized source review with a short, defensible request list, keeping confirmed edits and no-change decisions separate.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Shell Recharge website pages should receive review briefs?

Company website page

Citation appearances in all captured answers

Benchmark answers citing the page

Recommending answers citing the page

https://shell.us/electric-vehicle-charging/find-an-ev-charging-station.html

4

1

0

https://shell.us/business/mobility/shell-fleet-solutions/shell-fleet-solutions-and-wex-launch-new-and-improved-shell-card.html

1

0

0

https://shell.us/electric-vehicle-charging/shell-recharge-faqs.html

1

0

0

The company's website was cited 6 times across 3 distinct page addresses; the table shows 3 pages selected for review. Zeros in the answer columns mean no matching answers were recorded. A cited page is not automatically a page that accompanied a recommendation.

The company's own pages were cited only a handful of times, and none of those citations appeared in answers that recommended the brand. The charging-station locator and the FAQ page are the natural starting points, since they answer practical buyer questions directly.

The fleet-solutions page was cited without appearing in benchmark answers, which suggests it serves a different audience. Page briefs would draw on approved facts and the questions buyers actually ask, and would check existing coverage before proposing anything new.

A cited page is not automatically a page that drove a recommendation, so the briefs would aim to make the pages more useful rather than assume they are the lever.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Shell Recharge?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What are the leading companies in EV charging solutions?

5

2

1

What are the best EV charging stations?

3

1

1

What is the cheapest fast charging?

3

2

0

Who is the leading company in EV charging stations?

3

2

0

Is there one app for all EV charging stations?

3

1

0

What is the fast charging station for Milwaukee?

1

1

0

Who is the cheapest EV charging provider?

3

1

0

best charging apps

1

1

0

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

The recorded questions cluster around comparisons, cost and app coverage. Shell Recharge was mentioned in several of these but recommended in only a couple, and the cost and leading-company questions drew mentions without endorsements. That is where content could do the most work.

Proposed briefs would address cheapest fast charging, app coverage across networks, and how the brand compares with leading providers. Each brief would start by checking what the site already says, so new pages are only proposed where a genuine gap exists.

These are observed answer questions, not verified search demand, so the briefs would be framed as coverage of buyer concerns rather than proven traffic opportunities.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Shell Recharge work and judge completion?

Period

Deliverable

Completion criterion

Days 1–30

Baseline scorecard, scoped fact-review register and page/source shortlist

Each record has an owner, evidence requirement and review status

Days 31–60

Approved page briefs and justified publisher requests

Separate confirmed edits, no-change decisions, requests and responses

Days 61–90

Buyer-content briefs and a fresh scorecard

Record work completed separately from measured answer outcomes and comparability limits

The first month establishes the baseline: a scorecard, a scoped fact-review register and a shortlist of pages and sources. Each record needs an owner, an evidence requirement and a review status, so later decisions rest on something checkable.

The second month turns that groundwork into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions, requests and responses logged separately. The third month adds buyer-question content briefs and a fresh scorecard.

Delivered work is recorded separately from measured answer outcomes. Completing a brief or sending a request does not establish that visibility or recommendations will move, and the plan does not promise that they will.

Methodology

Questions This Section Answers

  • How are Shell Recharge answer metrics and citation populations defined?

This report covers 2026-11. The exact dates when the original AI answers were collected have not been verified. The visibility rates use 314 answers that met the benchmark's inclusion rules. A company is recommended only when the answer both endorses it and uses positive wording. Top 3 and first-place counts are part of those recommendations, not extra recommendations.

An answer can mention or recommend several companies, so company counts cannot be added to find the number of distinct answers. The net sentiment score is positive minus negative mentions, divided by all company mentions; it describes answer wording, not customer satisfaction.

The wider citation analysis covers 800 captured answers and 5034 appearances of cited URLs. Citation appearances across all captured answers differ from the number of benchmark answers citing a page and the number that also recommend a company. The current contents of cited pages and disputed company claims still need independent verification.

Monthly sample coverage:

Reporting month

Answers included

AI services covered

Services

Jul 2026

515

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Sep 2026

521

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Oct 2026

509

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Nov 2026

314

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

August 2026 measured a different set of companies, so it is excluded from this comparison.

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

The visibility rates rest on the answers that met the benchmark's inclusion rules, and the exact collection dates for the original answers have not been verified. A company counts as recommended only when an answer endorses it with positive wording; shortlist and first-place counts sit inside those recommendations rather than adding to them.

Answers can mention several companies, so company counts cannot be summed to find distinct answers. Sentiment describes answer wording, not customer satisfaction. The citation analysis covers a wider set of captured answers than the benchmark, and cited pages still need independent checking.

Monthly samples differ, so comparisons show what was recorded, not why it changed.

Our first three priorities

The first priority is to understand the endorsement gap. Shell Recharge is mentioned often enough to be visible but is rarely put forward, and the agency would build a comparison against the networks that are recommended to see where the brand falls short.

The second is a focused review of the third-party roundups that keep appearing, checking current contents before any evidence-backed request and setting aside the unrelated page. The third is buyer-question content on cost, app coverage and provider comparisons, drafted only after confirming what the site already covers.

Each priority produces a checkable record, and none is treated as a guaranteed route to more recommendations.

/ Learn More

Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

Archived editions

Browse earlier published research snapshots for this article. The latest edition remains at the current URL.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT