International SOS Appears in 1.5% 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

  • International SOS is mentioned in a small share of benchmark answers, but recommendations are much rarer than mentions.
  • The main issue is endorsement, not awareness, since the brand is visible but seldom positively recommended.
  • No conflicting claims were recorded in the captured answers, so the first step is baseline measurement rather than correction.
  • Priority work focuses on the evacuation and travel-risk pages, plus buyer questions around medical evacuation and repatriation.

Answer Capsule

In November 2026, International SOS appeared in 6 of 396 AI answers included in the Medical Evacuation benchmark (1.52%). It received 1 recommendation (0.25%), with 1 Top 3 placement 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 International SOS mentions, recommendations and placements compare with its Medical Evacuation peers?

International SOS recorded 6 mentions (1.52%) and 1 recommendation (0.25%) across 396 answers included in the benchmark. Top 3 placements numbered 1; first-place recommendations numbered 0. Framing among its mentions was 1 positive, 5 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Allianz Travel

323

81.57%

307

77.53%

273

68.94%

162

40.91%

2

Travel Guard (AIG)

333

84.09%

305

77.02%

228

57.58%

27

6.82%

3

Global Rescue

60

15.15%

33

8.33%

14

3.54%

6

1.52%

4

Medjet

46

11.62%

29

7.32%

15

3.79%

7

1.77%

5

Redpoint Travel Protection

9

2.27%

6

1.52%

6

1.52%

1

0.25%

6

Ripcord

5

1.26%

5

1.26%

5

1.26%

1

0.25%

7

AirMed International

2

0.51%

1

0.25%

1

0.25%

0

0.00%

7

International SOS

6

1.52%

1

0.25%

1

0.25%

0

0.00%

9

Covac Global

0

0.00%

0

0.00%

0

0.00%

0

0.00%

9

SkyMed

1

0.25%

0

0.00%

0

0.00%

0

0.00%

International SOS appears in a small share of benchmark answers, and the gap between being mentioned and being recommended is the central issue. Mentions register, but affirmative endorsement with positive wording is rare, and no first-place placement was recorded. Reach without endorsement leaves the company visible but not chosen.

The contrast with the leading travel-insurance names is stark, and the specialist evacuation providers also draw more recommendations. For a medical and security assistance provider, that suggests AI answers treat the brand as a name to note rather than a service to recommend. The proposed work should focus on earning affirmative endorsement, not simply more mentions.

Framing was mostly neutral, with one positive mention and no negative ones. Neutral wording is not hostility, but it also gives a buyer no reason to act. A scorecard separating mentions, recommendations and position would let the client track whether endorsement improves without conflating the three measures.

What changed since last month

Questions This Section Answers

  • How did International SOS counts and coverage differ across the available monthly snapshots?

Metric

Jul 2026

Aug 2026

Oct 2026

Nov 2026

Mentions

4 / 514 (0.78%)

5 / 513 (0.97%)

4 / 480 (0.83%)

6 / 396 (1.52%)

Recommendations

2 / 514 (0.39%)

2 / 513 (0.39%)

1 / 480 (0.21%)

1 / 396 (0.25%)

Top 3 recommendations

2 / 514 (0.39%)

2 / 513 (0.39%)

1 / 480 (0.21%)

1 / 396 (0.25%)

#1 recommendations

1 / 514 (0.19%)

0 / 513 (0.00%)

0 / 480 (0.00%)

0 / 396 (0.00%)

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

From October 2026 to November 2026, International SOS's mention count rose from 4 to 6, while its recommendation count stayed at 1. The recommendation rate was 0.21% and 0.25% respectively. The count was unchanged: the rate difference comes from dividing it by 480 answers in October 2026 and 396 in November.

Across the verified months, mentions moved within a narrow band while recommendations stayed low. The most recent month shows more mentions than the prior verified month, but the recommendation count did not move. First-place placements, recorded earlier in the series, have not reappeared in the recent months.

The samples differ between months, so the movement should be read as a record of what was observed rather than a trend with an established cause. A higher mention total in a smaller answer set does not by itself explain the rate change. The client should treat these as separate snapshots and watch whether endorsement follows mentions over time.

AI recommendation trend

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

0%0.1%0.2%0.3%0.4%Jul 2026Aug 2026Oct 2026Nov 20260.39%Jul 2026: 0.39%0.39%Aug 2026: 0.39%0.21%Oct 2026: 0.21%0.25%Nov 2026: 0.25%
  • International SOS0.25%

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

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Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for International SOS?

AI answers contained 0 conflicting claims about International SOS: 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 International SOS were recorded in the captured answers, so there is no fact-check queue to clear. That is a useful starting position: the priority shifts from correcting errors to understanding why endorsement is so limited when the company is named.

A visibility comparison against the leading and specialist providers would show where the brand sits and which competitors absorb the recommendations. Pairing that with a claim review, even where nothing is disputed, gives the client a defensible baseline before any content work begins.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about International SOS 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.

No disputed topics were supplied for this part of the analysis, so there is nothing to verify or correct at present. The website consistency step therefore starts with confirming the company's own approved facts rather than reacting to AI claims.

Where claims do surface later, the entity, date and source need resolving before any correction is considered, since different dates can explain an apparent conflict. Proposed page briefs would rest on verified primary-source material, and ambiguous matches would stay out of the correction queue.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for International SOS?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://globalrescue.com/common/blog/detail/comprehensive-guide-to-international-medevac-companies/

3

3

0

https://jetrescueairambulance.com/international-services-air-ambulance

3

3

0

https://travel.state.gov/en/international-travel/planning/guidance/insurance.html

44

1

0

https://squaremouth.com/travel-insurance-benefits/medical-evacuation-and-repatriation

22

4

0

https://medjetassist.com/resources/medical-evacuation-insurance

21

4

0

https://travelcareair.com/blog/how-much-does-medevac-cost/

4

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 selected for review include third-party guides, government travel guidance, comparison sites and competitor resources. Several carry many citation appearances across captured answers, but a citation does not show that a page influenced an answer, and none is linked to a conflicting claim about International SOS.

The proposed work is a source review: check what each page currently says, identify where the company could reasonably be represented, and prepare evidence-backed requests to publishers. Requests should be framed as providing accurate information, not as asserting publisher error, and responses recorded separately from confirmed edits.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed International SOS 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://internationalsos.com/capabilities/assistance-evacuation/medevac-medical-evacuation

3

3

0

https://internationalsos.com/services/travel-risk-management/personal-travel

2

2

1

The company's website was cited 5 times across 2 distinct page addresses; the table shows 2 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.

Two company pages were selected for review, and the site was cited across those addresses. One page drew a recommending answer; the other drew benchmark citations but no recommendation. That difference is worth examining, though a cited page is not automatically the page that accompanied a recommendation.

Proposed page briefs would use approved company facts and the buyer questions observed in the research, with a reviewer confirming accuracy before publication. The aim is to make the evacuation and travel-risk pages clearer about who the service is for and what it provides, so an AI answer has stronger grounds to endorse rather than merely name the company.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for International SOS?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

evacuation insurance for international travel

1

1

1

international medevac

1

1

0

international medical evacuation

2

1

0

medevac international

1

1

0

medical repatriation services

1

1

0

medvac

1

1

0

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

The observed questions cluster around evacuation insurance, international medevac and medical repatriation, including common variant spellings. International SOS was mentioned in answers to each, but recommended in only one. These are recorded answer observations, not search volume or proof of missing content.

Proposed buyer-question content would address each theme directly, checking existing coverage before any new page is suggested. Briefs would answer the practical questions a buyer asks, such as how evacuation cover works and what distinguishes assistance membership from insurance, using approved facts and a named reviewer.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed International SOS 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 scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner and review status. The second month produces approved page briefs and justified publisher requests, with confirmed edits, no-change decisions, requests and responses recorded separately.

The final month delivers buyer-content briefs and a fresh scorecard. Completed work is recorded apart from measured answer outcomes, and the comparability limits of each monthly sample are noted. Nothing in the plan promises a visibility gain; it sets up the conditions for one and measures honestly whether it appears.

Methodology

Questions This Section Answers

  • How are International SOS 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 396 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 6009 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

514

6

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

Aug 2026

513

6

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

Oct 2026

480

6

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

Nov 2026

396

6

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

Reliable results for September 2026 are unavailable. This is a gap in the history, not a result of zero.

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

The report covers a single reporting month, and the exact collection dates of the original AI answers are unverified. Visibility rates rest on answers meeting the benchmark's inclusion rules, and a recommendation requires both endorsement and positive wording. Position counts sit inside recommendations rather than adding to them.

Answers can name several companies, so counts cannot be summed to find distinct answers. Monthly samples differ, and the comparisons describe recorded movement without establishing its cause. Cited pages and any disputed claims still need independent verification.

Our first three priorities

The first priority is a visibility scorecard that keeps mentions, recommendations and position distinct, so the client can see that the problem is endorsement rather than awareness. The second is a page review of the evacuation and travel-risk pages, turning them into clear, verified briefs that give an AI answer a reason to recommend.

The third is buyer-question content around evacuation insurance and medical repatriation, checked against existing coverage first. Source review and publisher requests follow once the company's own facts are confirmed. Each step is proposed work with a named reviewer, and none is presented as a guaranteed route to higher visibility.

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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.

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