Shrader & Associates AI Visibility Market Strategy Report - Mesothelioma Lawyers

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Shrader & Associates is visible in AI responses but recommended less often than it appears, with the gap widening since July 2026.
  • ChatGPT is the strongest platform for the firm, including its only rank-one placement in the October 2026 benchmark.
  • Google AI Mode and Google AI Overviews show the clearest conversion shortfalls, where mentions are not turning into shortlist placements.
  • The firm trails the category leaders by a wide margin on top-three rate, rank-one rate, and average recommended rank.

Answer Capsule

Shrader & Associates holds 8.6% valid recommendation coverage in the October 2026 LLM Authority Index benchmark for mesothelioma lawyers, ranking fifth in a ten-firm field. The firm is visible in 12.8% of qualified observations but is recommended in only 8.6%, a gap that widened from 0.9 points in July 2026 to 4.2 points in October 2026. Its top-three placement rate fell from 10.3% to 5.3% across the series, and its rank-one rate dropped from 1.7% to 0.5%. The clearest opportunity sits in converting existing mentions into recommendations, particularly on Google AI Overviews and Google AI Mode, where the firm already appears but is rarely placed.

Who This Report Is For

This report is written for Shrader & Associates leadership, marketing decision-makers, and business development stakeholders who need to understand how AI systems currently present the firm to mesothelioma claimants and where the recommendation gap is widening.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Shrader & Associates

Category / market studied

Mesothelioma Lawyers

Reporting month

October 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, Google AI Mode)

Public high-intent clusters

3

AI observations analyzed

187 qualified observations from 340 source prompt-surface observations

Competitors tracked

10

Executive Summary

Shrader & Associates is visible but under-recommended in the October 2026 AI recommendation benchmark for mesothelioma lawyers. The firm appeared in 12.8% of qualified observations but received a valid recommendation in only 8.6%, producing a presence-to-recommendation gap of 4.2 percentage points. That gap has widened since July 2026, when presence stood at 19.0% and coverage at 18.1%, a spread of just 0.9 points.

The firm recorded 16 valid recommendations out of 187 qualified observations in October 2026, down from 42 out of 232 in July 2026. Its top-three placement rate fell from 10.3% to 5.3% across the series, and its rank-one rate dropped from 1.7% to 0.5%. Net sentiment registered 0.6667 in October 2026, the lowest reading among the ten tracked firms and down from 1.0 in July 2026.

The strongest platform signal for Shrader & Associates is ChatGPT, where the firm recorded a 16.67% valid recommendation coverage rate and a 16.67% rank-one rate, the only platform where it achieved a first-position recommendation. Google AI Overviews carried the highest raw mention presence at 7.61%, but converted only 7.61% into valid recommendations, indicating the firm is referenced without being placed.

The clearest gap sits on Google AI Mode, where Shrader & Associates recorded a 17.31% raw mention presence rate but only a 9.62% valid recommendation coverage rate, a conversion shortfall of 7.69 percentage points. Copilot and Perplexity returned no measured presence for the firm in October 2026.

The benchmark's only qualified buyer-intent cluster is Brand Recommendation, which captures discovery and consideration queries. Pricing and Value and Multi-Brand Comparison clusters recorded no qualified observations for a fourth consecutive month, meaning the benchmark cannot yet speak to how AI systems frame fees, compensation, or head-to-head firm comparisons in this vertical.

What Shrader & Associates Is Winning

Questions This Section Answers

  • Where does Shrader & Associates actually win in AI recommendations?
  • What is the state of the firm's sentiment across its AI mentions?

Shrader & Associates holds one measurable platform win. On ChatGPT, the firm recorded a 16.67% valid recommendation coverage rate and a 16.67% rank-one rate, the only platform in the dataset where it achieved a first-position recommendation. That single rank-one placement represents a narrow but meaningful recommendation pocket on a platform where several larger competitors recorded no rank-one placements at all.

The firm also maintained a positive net sentiment score of 0.6667 across 24 mentions, with 16 positive and 8 neutral classifications and zero negative classifications. No AI platform surfaced cautionary or negative framing about the firm in the October 2026 observation set.

Beyond these two signals, the evidence does not support additional wins. The firm's coverage declined 9.5 percentage points from its July 2026 baseline, its top-three rate fell 5.0 percentage points, and its rank-one rate dropped 1.2 percentage points. The wins are narrow and the trajectory is downward.

Where Shrader & Associates Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why is Shrader & Associates mentioned in AI answers but not recommended?
  • Which platforms show the sharpest presence-to-recommendation shortfall for the firm?
  • How far behind the leading mesothelioma firms does Shrader & Associates sit?

The clearest gap is recommendation conversion. Shrader & Associates appears in more prompts than it is recommended in, and the spread between presence and coverage has widened from 0.9 points in July 2026 to 4.2 points in October 2026. The firm is visible in roughly one in eight qualified observations but recommended in roughly one in twelve.

Google AI Mode shows the sharpest conversion shortfall. The firm recorded a 17.31% raw mention presence rate on that platform but only a 9.62% valid recommendation coverage rate, meaning it was mentioned in nearly twice as many observations as it was recommended in. Google AI Overviews shows a similar pattern at a smaller scale, with 7.61% presence converting to 7.61% coverage and no rank-one placements.

Copilot and Perplexity returned zero measured presence for Shrader & Associates in October 2026. On Copilot, the firm recorded no mentions across 12 platform observations. On Perplexity, it recorded no mentions across 5 platform observations. Both platforms carried qualified observations for other tracked firms, so the absence is specific to Shrader & Associates rather than a platform-level data gap.

The competitive displacement pattern is pronounced. Simmons Hanly Conroy holds 71.12% valid recommendation coverage and a 66.31% top-three rate, meaning the category leader is recommended in roughly seven of every ten qualified observations. Sokolove Law holds 20.86% coverage, Weitzlux holds 21.39%, and Cooney & Conway holds 13.37%. Shrader & Associates at 8.6% sits below all four, and its top-three rate of 5.3% is less than one-tenth of the leader's.

Biggest Opportunity

Questions This Section Answers

  • What is the single highest-leverage move for closing the recommendation gap?
  • Why is this a conversion problem rather than a discovery problem for the firm?

The single biggest opportunity for Shrader & Associates is closing the presence-to-recommendation gap on Google AI Mode and Google AI Overviews. The firm already appears in those surfaces at rates of 17.31% and 7.61% respectively, which means the retrieval layer is already surfacing Shrader & Associates content. The gap is in the recommendation layer: AI systems are mentioning the firm without placing it in the shortlist.

This is a conversion problem rather than a discovery problem. The firm does not need to earn its way into the prompt set. It needs the pages, citations, and framing that AI systems use when deciding which mentioned firms become recommended firms. The highest-leverage work sits in the evidence layer that supports recommendation placement on Google surfaces, where the firm's mention-to-recommendation conversion is weakest.

Competitive Landscape

Questions This Section Answers

  • Where does Shrader & Associates rank against the other tracked mesothelioma firms?
  • How dominant is the category leader's recommendation and rank-one position?
  • What does the firm's average recommended rank and sentiment say about its standing?

Simmons Hanly Conroy holds dominant recommendation-stage strength in the mesothelioma lawyer category, with a top-three rate of 66.31% and a rank-one rate of 45.45%. Weitzlux and Sokolove Law hold the strongest challenger positions, and Shrader & Associates sits in the lower tier alongside Kazan McClain and Nemeroff Law.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Simmons Hanly Conroy

66.31%

45.45%

1.68

0.8938

Weitzlux

20.32%

4.28%

2.05

0.9020

Sokolove Law

13.90%

4.28%

2.79

0.6452

Cooney & Conway

11.76%

3.74%

2.40

1.0000

Shrader & Associates

5.35%

0.53%

3.25

0.6667

Kazan McClain

4.28%

1.07%

3.08

0.8571

Nemeroff Law

2.14%

1.07%

3.25

0.8889

Goldberg Persky White

1.60%

0.53%

2.00

1.0000

Belluck & Fox

0.53%

0.00%

4.71

1.0000

Galiher DeRobertis

0.53%

0.53%

3.33

1.0000

Average recommended rank covers rank-eligible recommendations only.

Shrader & Associates ranks fifth by top-three rate and sixth by rank-one rate. Its average recommended rank of 3.25 places it mid-tier when it does receive rank credit, ahead of Belluck & Fox at 4.71 but behind Cooney & Conway at 2.40 and Weitzlux at 2.05. Its sentiment score of 0.6667 is the lowest in the tracked set, well below the leader at 0.8938.

Prompt Evidence

ChatGPT / Brand Recommendation Prompt: "best mesothelioma attorneys" Result: Shrader & Associates received a rank-one recommendation, the firm's only first-position placement across all tracked platforms in October 2026.

Google AI Mode / Brand Recommendation Prompt: "mesothelioma lawyer" Result: Shrader & Associates appeared as a mention but was not placed in the recommendation shortlist, contributing to the 7.69-point presence-to-coverage gap on this platform.

Google AI Overviews / Brand Recommendation Prompt: "top mesothelioma lawyers" Result: The firm was referenced in the response but received no top-three placement, consistent with its 7.61% presence rate converting to 7.61% coverage with zero rank-one placements on this surface.

Copilot / Brand Recommendation Prompt: "mesothelioma law firm" Result: Shrader & Associates did not appear in the response, consistent with the firm's zero measured presence across all 12 Copilot observations in October 2026.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every prompt where Shrader & Associates is mentioned but not recommended, with platform-level breakdowns for Google AI Mode, Google AI Overviews, and Copilot.

Phase 2: Recommendation Readiness Plan Identify the specific evidence gaps that prevent mention-to-recommendation conversion on Google surfaces and prioritize the pages and sources most likely to close them.

Phase 3: Owned Answer Layer Buildout Strengthen the firm's owned pages so AI systems have clear, extractable recommendation-ready content for the prompts where Shrader & Associates currently appears without placement.

Phase 4: Citation / Authority Layer Development Build the third-party source footprint that AI systems draw on when forming mesothelioma lawyer shortlists, with emphasis on the source types already cited in this vertical.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track presence, coverage, top-three rate, rank-one rate, and sentiment month over month to measure whether the conversion gap is closing.

Why This Matters

Questions This Section Answers

  • What does the 4.2-point presence-to-recommendation gap mean for mesothelioma claimants?

AI presence alone does not produce buyer shortlist placement. Shrader & Associates is already visible to AI systems in 12.8% of qualified observations, but it converts only 8.6% of those into valid recommendations. The 4.2-point gap represents claimants who see the firm's name in an AI response but do not see it recommended as a firm to contact.

The next move is targeted correction of the prompt, page, and citation layers that AI systems use when deciding which mentioned firms become recommended firms. The firm does not need broader discovery. It needs the evidence layer that turns a mention into a shortlist placement, particularly on Google AI Mode and Google AI Overviews where the conversion shortfall is sharpest.

Core Metrics

Metric

Value

Mentions

24

Valid recommendations

16

Top 3 recommendation count

10

Rank #1 recommendation count

1

Average recommended rank

3.25

Positive mentions

16

Neutral mentions

8

Negative mentions

0

Raw mention presence rate

12.83%

Valid recommendation coverage

8.56%

Top 3 recommendation rate

5.35%

Rank #1 recommendation rate

0.53%

Net sentiment score

0.6667

Strongest cluster by recommendation behavior

Best Mesothelioma Lawyers & Top Asbestos Attorneys (C01)

Strongest platform by recommendation behavior

ChatGPT

Sentiment Score

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

For Shrader & Associates in October 2026: (16 × 1 + 8 × 0 + 0 × -1) / 24 = 0.6667.

This score matters because unclassified mention counts are misleading. A firm with 24 mentions sounds visible, but 8 of those mentions were neutral references rather than positive recommendations. Counting all mentions as wins would overstate the firm's position and hide the fact that one-third of its AI appearances carried no recommendation weight.

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 in value to a claimant deciding which firm to contact. Shrader & Associates recorded zero negative mentions, which is a genuine positive, but its 0.6667 score is the lowest among the ten tracked firms because a higher share of its mentions were neutral rather than positive. Classified sentiment is required before interpreting AI visibility, and this score shows the firm is present but not consistently framed as a recommended choice.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

1

1

0

0

1.0000

Strongest public recommendation signal

Copilot

0

0

0

0

N/A

No public presence in this packet

Gemini

7

3

4

0

0.4286

Present as context, not recommendation

Perplexity

0

0

0

0

N/A

No public presence in this packet

Google AI Overviews

7

7

0

0

1.0000

Positive, but sample too small

Google AI Mode

9

5

4

0

0.5556

Present, but not recommendation-led

Methodology

  1. This report is a benchmark-based analysis of how AI systems present Shrader & Associates in the mesothelioma lawyer category. It is not a client implementation case study and does not imply that CiteWorks Studio caused any benchmark outcome.
  2. The reporting month is October 2026, with movement analysis comparing against the July 2026 baseline and referencing August 2026 and September 2026 for intermediate context.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six carried at least one qualified observation in October 2026.
  4. The October 2026 benchmark began with 340 source prompt-surface observations and 288 unique questions. After qualification, 187 observations formed the public denominator for all brand-level metrics.
  5. Ten mesothelioma law firms were tracked: Simmons Hanly Conroy, Weitzlux, Sokolove Law, Cooney & Conway, Shrader & Associates, Kazan McClain, Nemeroff Law, Belluck & Fox, Galiher DeRobertis, and Goldberg Persky White.
  6. Three buyer-intent clusters were defined: Best Mesothelioma Lawyers & Top Asbestos Attorneys (consideration), Mesothelioma Lawyer Comparisons & Firm Evaluations (evaluation), and Mesothelioma Lawyer Fees, Compensation & Settlement Costs (decision). Only the first cluster carried qualified observations in October 2026.
  7. Stage 0 extraction produced the prompt-level observations that retain query, platform, answer, brand outcome, recommendation placement, sentiment, and citations where exposed. All metrics in this report derive from that extraction layer.
  8. A mention is counted when Shrader & Associates appears in an AI response in any form, including neutral references and comparison anchors. A valid recommendation is counted only when the dataset explicitly marks the firm as recommended with rank credit.
  9. Raw mention presence rate measures how often the firm appears. Valid recommendation coverage measures how often it is actually recommended. Top-three rate and rank-one rate measure placement within the recommendation order. These are separate signals and are not collapsed into a single visibility metric.
  10. Average recommended rank covers rank-eligible recommendations only. Shrader & Associates recorded 16 rank-eligible recommendations in October 2026.
  11. The benchmark records Weitz & Luxenberg and Weitzlux as separate tracked entities in October 2026. Their series should not be treated as interchangeable without company-level entity verification.
  12. Small observation counts apply to several brands in this benchmark. Shrader & Associates rests on 16 valid recommendations in October 2026, and single prompts carry substantial weight at that scale. Movement analysis identifies changes worth investigating; month-over-month movement does not by itself establish the cause of those changes.

Find Out Where You Stand in AI Recommendations

The public benchmark shows where Shrader & Associates is winning and losing in AI-generated recommendations. A company-level AI visibility audit maps the prompt, platform, competitor, ranking, sentiment, and evidence-source patterns behind those movements into a prioritized strategy. Where the benchmark shows the score, a company-level audit shows the drivers.

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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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