Simmons Hanly Conroy Appears in 90.5% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • Simmons Hanly Conroy appeared in 90.55% of benchmark AI answers and was recommended in 83.08%, leading peers by a wide margin.
  • The main issue is not visibility alone, but the gap between mentions and recommendations, which calls for stronger supporting facts on key pages.
  • Several AI answers repeat conflicting recovery figures, so the first step is to verify the firm’s approved number and date before making edits.
  • Priority work includes reviewing high-citation company pages, checking third-party sources against primary evidence, and creating briefs around common buyer questions.

Answer Capsule

In November 2026, Simmons Hanly Conroy appeared in 182 of 201 AI answers included in the Mesothelioma Lawyers benchmark (90.55%). It received 167 recommendations (83.08%), with 145 Top 3 placements and 93 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 Simmons Hanly Conroy mentions, recommendations and placements compare with its Mesothelioma Lawyers peers?

Simmons Hanly Conroy recorded 182 mentions (90.55%) and 167 recommendations (83.08%) across 201 answers included in the benchmark. Top 3 placements numbered 145; first-place recommendations numbered 93. Framing among its mentions was 171 positive, 11 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Simmons Hanly Conroy

182

90.55%

167

83.08%

145

72.14%

93

46.27%

2

Weitzlux

91

45.27%

85

42.29%

78

38.81%

17

8.46%

3

Shrader & Associates

54

26.87%

37

18.41%

23

11.44%

5

2.49%

4

Cooney & Conway

38

18.91%

36

17.91%

25

12.44%

9

4.48%

5

Sokolove Law

50

24.88%

23

11.44%

15

7.46%

0

0.00%

6

Nemeroff Law

23

11.44%

21

10.45%

16

7.96%

5

2.49%

7

Kazan McClain

24

11.94%

17

8.46%

9

4.48%

3

1.49%

8

Belluck & Fox

15

7.46%

15

7.46%

7

3.48%

1

0.50%

9

Goldberg Persky White

6

2.99%

6

2.99%

6

2.99%

2

1.00%

10

Galiher DeRobertis

2

1.00%

2

1.00%

1

0.50%

1

0.50%

Simmons Hanly Conroy is the firm AI answers reach for most often in this benchmark, and the lead over the next firm is wide on every measure shown. That is a strong starting position, but it is a position in answers, not a promise of client inquiries.

The gap between mentions and recommendations is the number worth watching. Many answers bring the firm up without endorsing it, so the practical work is understanding what separates an endorsement from a passing reference and making sure the firm's own material supports the stronger outcome.

We would build a scorecard that tracks mentions, recommendations and placements separately, so the client can see which measure moves and which stays flat.

What changed since last month

Questions This Section Answers

  • How did Simmons Hanly Conroy counts and coverage differ across the available monthly snapshots?

Metric

Oct 2026

Nov 2026

Mentions

160 / 187 (85.56%)

182 / 201 (90.55%)

Recommendations

133 / 187 (71.12%)

167 / 201 (83.08%)

Top 3 recommendations

124 / 187 (66.31%)

145 / 201 (72.14%)

#1 recommendations

85 / 187 (45.45%)

93 / 201 (46.27%)

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

From October 2026 to November 2026, Simmons Hanly Conroy's mention count rose from 160 to 182, while its recommendation count rose from 133 to 167. The recommendation rate was 71.12% and 83.08% respectively.

The November sample shows more mentions and more recommendations than October, and the recommendation rate moved up alongside them. The first-place rate barely shifted, which suggests the firm held its top position rather than gaining new ground at the very top.

The two months were measured on different answer samples, so the movement describes what was recorded, not a proven trend. We would treat November as the new reference point and compare future months against it, flagging any change in sample coverage before drawing conclusions.

AI recommendation trend

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

  • Simmons Hanly Conroy+11.96 pp
    Oct 202671.12%
    Nov 202683.08%

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 Simmons Hanly Conroy?

AI answers contained 24 conflicting claims about Simmons Hanly Conroy: 0 critical, 0 high, 2 medium, 22 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.

The fact-check list is short on urgency: most recorded conflicts are low severity, and only a couple sit at medium. That still matters, because a wrong recovery figure repeated across answers can shape how a prospective client judges the firm before ever calling.

We would pair a visibility comparison with a claim register that names each disputed figure, the answers where it appeared and the evidence needed to settle it. The client's own records decide what is correct; the register only organizes the questions.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Simmons Hanly Conroy should be verified before proposed page edits?

Review topic

Severity

Recorded AI claim A

Recorded AI claim B

total asbestos recoveries

low

over $11 billion

over $10 billion

total asbestos recovery amount

low

Over $11 billion

Over $12 billion

total recoveries

medium

over $11 billion

$10.3B+

total asbestos recovery amount

low

Over $11 billion

$10.5B+

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.

The disputed claims cluster around total asbestos recoveries, with answers citing different figures for what looks like the same measure. Different reporting dates or different definitions of recoveries could account for the spread, so the first step is confirming which figure the firm currently stands behind and as of when.

Once that is settled, we would draft page briefs that state the approved figure plainly and consistently. No page change should go ahead until the client signs off on the number and its date.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for Simmons Hanly Conroy?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://lanierlawfirm.com/mesothelioma/

52

49

16

https://asbestos.com/mesothelioma-lawyer/

9

9

13

https://lanierlawfirm.com/mesothelioma/california-lawyer/los-angeles/

16

16

10

https://weitzlux.com/mesothelioma/legal-options/lawyers/

32

31

9

https://gorilaw.com/mesothelioma/california-lawyer/los-angeles-office/

19

19

9

https://youtube.com/watch?t=5&v=fuIGqqk6Z5Q

10

10

8

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.

Several third-party pages appear repeatedly alongside answers that discuss the firm, including a competitor's mesothelioma page and a legal-options page. A citation alone does not establish that a page shaped an answer, and the current contents of these pages still need checking before anyone asks for a change.

We would review the shortlisted pages against primary sources first, then prepare evidence-backed requests only where a genuine inaccuracy is confirmed. Pages that merely mention the firm stay out of the correction queue.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Simmons Hanly Conroy 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://simmonsfirm.com/mesothelioma/

68

64

62

https://simmonsfirm.com/mesothelioma/lawyer/

30

30

29

https://simmonsfirm.com/mesothelioma/lawyer/kansas-mesothelioma-lawyer/wichita/

10

10

9

https://simmonsfirm.com/mesothelioma/lawyer/california-mesothelioma-lawyer/los-angeles/

9

9

9

https://simmonsfirm.com/mesothelioma/lawyer/texas-mesothelioma-lawyer/

8

8

7

https://simmonsfirm.com/mesothelioma/lawyer/california-mesothelioma-lawyer/

7

7

7

https://simmonsfirm.com/mesothelioma/lawyer/illinois-mesothelioma-lawyer/chicago/

7

7

7

https://simmonsfirm.com/mesothelioma/lawyer/texas-mesothelioma-lawyer/dallas/

6

6

6

The company's website was cited 238 times across 61 distinct page addresses; the table shows 8 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 firm's main mesothelioma page is the anchor: it is cited far more than any other company page and appears in most recommending answers. Keeping that page accurate and current protects the strongest asset the firm has in these answers.

The regional lawyer pages are cited less but still appear, which makes them candidates for briefs built on approved facts and the questions buyers actually ask. We would check existing coverage before proposing anything new, and treat citation as a signal to review, not proof the page earned the recommendation.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Simmons Hanly Conroy?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

What is the best mesothelioma law firm?

5

5

5

Who is the best mesothelioma lawyer?

5

5

5

Who's the best for an asbestos lawsuit?

5

5

4

Who is the best mesothelioma attorney?

4

4

4

arizona mesothelioma lawyer

2

2

2

asbestos attorney

2

2

2

asbestos cancer lawyer

2

2

2

asbestos lawyer

2

2

2

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

The recorded questions are mostly broad comparisons asking who is the best mesothelioma lawyer or firm, and the firm appears in nearly all of them. That is where the firm already competes, so content should reinforce the reasons an answer would endorse it rather than chase volume.

The narrower queries about asbestos attorneys and state-level lawyers drew fewer answers. We would check whether the site already covers those topics before drafting briefs, since these observations show what was asked in the research, not measured search demand.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Simmons Hanly Conroy 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 produces the baseline scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner and a review status. Nothing gets corrected in that window; the point is to know what needs checking and who decides.

The second month turns approved facts into page briefs and separates confirmed edits from no-change decisions and publisher requests. The third month adds buyer-question content briefs and a fresh scorecard, with completed work recorded apart from any movement in the answers.

Methodology

Questions This Section Answers

  • How are Simmons Hanly Conroy 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 201 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 281 captured answers and 2162 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

Oct 2026

187

6

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

Nov 2026

201

6

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

July 2026 measured a different set of companies, so it is excluded from this comparison. August 2026 measured a different set of companies, so it is excluded from this comparison. September 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 answers were collected on dates that have not been verified, and the monthly samples differ in size and coverage, so month-to-month comparisons show what was recorded rather than why it changed. A recommendation requires both an endorsement and positive wording, and placements sit inside recommendations rather than adding to them.

Cited pages and disputed company claims still need independent verification. Sentiment describes answer wording, not client satisfaction.

Our first three priorities

First, settle the recovery figure the firm stands behind and the date it applies to, then align the main mesothelioma page and the regional lawyer pages to it. This is the cheapest way to reduce the conflicting claims answers repeat.

Second, review the shortlisted third-party pages against primary sources and prepare requests only where an error is confirmed. Third, draft buyer-question briefs for the best-lawyer comparisons where the firm already appears, checking existing coverage first. Progress should be judged by completed verification and published work, with answer movement tracked separately.

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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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