Truck Accident Lawyers: AI Visibility Market Discovery Index
Tracking how AI platforms recommend truck accident lawyers. This public AI Visibility Market Discovery Index is updated monthly since July 2026.

On this page
- 01Benchmark Summary
- 02Current Benchmark at a Glance
- 03Research Scope and Qualification
- 04Current Brand Standings
- 05How to Read the Standings
- 06Recommendation Coverage Movement
- 07Largest Decline: Dolman Law Group
- 08Category Leader: Morgan & Morgan
- 09Stable Brands
- 10Recommendation Placement Snapshot
- 11Buyer-Intent Distribution
- 12Historical Measurement Record
Benchmark Summary
Questions This Section Answers
- Who leads the truck accident lawyer benchmark, and by how wide a margin?
- Which brands saw significant recommendation coverage declines from the July 2026 baseline?
Morgan & Morgan led the Truck Accident Lawyers benchmark in October 2026 with valid recommendation coverage of 56.6%. The gap to the next closest brand, Stewart Miller Simmons at 16.2%, stood at 40.4 percentage points.
No brand recorded a significant increase in valid recommendation coverage from the July 2026 baseline, and the benchmark recorded no significant coverage movements this month. Morgan & Morgan moved from 50.9% in September 2026 to 56.6% in October 2026, Stewart Miller Simmons moved from 15.2% to 16.2%, and The Barnes Firm moved from 6.9% to 8.8% — all within normal month-to-month variation.
Three brands registered significant coverage declines from baseline. Dolman Law Group fell from 15.8% in July 2026 to 1.8% in October 2026, declining in each of the three months since baseline. Stewart Miller Simmons fell from 24.3% in July 2026 to 16.2% in October 2026. The Barnes Firm fell from 16.3% in July 2026 to 8.8% in October 2026.
The current benchmark reflects 228 qualified observations in October 2026, down from 289 in September 2026 and 202 in July 2026.
AI recommendation trend
valid recommendation coverage, Jul 2026 to Oct 2026
- Morgan & Morgan56.6%
- Stewart Miller Simmons16.2%
- The Barnes Firm8.8%
- Lerner & Rowe6.1%
- Dolman Law Group1.8%
- Hensley Legal Group1.8%
- Zinda Law Group0.9%
- Fletcher Law0.4%
- Cooper Hurley Injury Lawyers0.0%
- Painter Law Firm0.0%
Current Benchmark at a Glance
Measure | Jul 2026 | Oct 2026 | Movement |
|---|---|---|---|
Qualified benchmark observations | 202 | 228 | Up 26 |
Tracked brands | 10 | 10 | No change |
Qualified surface breadth | 6 | 6 | No change |
Recommendation-shaped answer share | 56.9% | 45.6% | Down 11.3 points |
Valid recommendation shortlist share | 68.3% | 66.2% | Down 2.1 points |
Leader by valid recommendation coverage | Morgan & Morgan (61.9%) | Morgan & Morgan (56.6%) | No change |
Qualified surface breadth counts the canonical AI/search surface families with at least one qualified observation in the month. The six canonical families are ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Truck Accident Lawyers
Research Scope and Qualification
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Questions This Section Answers
- Why does the public benchmark report fewer observations than the raw collection?
- What denominator is used for brand-level percentages in this benchmark?
The public benchmark is narrower than the raw collection universe by design.
Research stage | Jul 2026 | Oct 2026 | What it represents |
|---|---|---|---|
Source prompt-surface observations | 800 | 651 | Total prompt-surface observations collected |
Unique questions | 634 | 466 | Distinct questions across all surfaces |
Brand / competitor mentions | 452 | 591 | Observations mentioning at least one tracked brand |
Relevant observations | 266 | 425 | Observations relevant to the vertical |
Irrelevant observations | 186 | 166 | Observations outside the vertical scope |
Qualified benchmark observations | 202 | 228 | Public denominator |
Brand-level percentages use the qualified observations as the public denominator, not the raw collection. For formulas and denominator rules, see AI Visibility Market Discovery Methodology.
Current Brand Standings
Questions This Section Answers
- Which truck accident lawyers qualified for the October 2026 standings, and where did each rank?
- How do presence rate, valid recommendation coverage, and rank-one rate differ across the tracked brands?
This table shows the primary current-month benchmark view for October 2026, sorted by valid recommendation coverage.
Brand | Presence rate | Valid recommendation coverage | Top-three rate | Rank-one rate | Net sentiment |
|---|---|---|---|---|---|
Morgan & Morgan | 89.5% | 56.6% | 41.2% | 31.1% | 0.9 |
Stewart Miller Simmons | 16.2% | 16.2% | 14.5% | 9.7% | 1.0 |
The Barnes Firm | 10.5% | 8.8% | 7.9% | 1.8% | 0.8 |
Lerner & Rowe | 6.6% | 6.1% | 5.7% | 2.2% | 1.0 |
Dolman Law Group | 1.8% | 1.8% | 1.3% | 0.0% | 1.0 |
Hensley Legal Group | 3.1% | 1.8% | 1.8% | 0.9% | 0.6 |
Zinda Law Group | 0.9% | 0.9% | 0.9% | 0.4% | 1.0 |
Fletcher Law | 0.4% | 0.4% | 0.0% | 0.0% | 1.0 |
Cooper Hurley Injury Lawyers | 0.4% | 0.0% | 0.0% | 0.0% | 1.0 |
Painter Law Firm | 0.0% | 0.0% | 0.0% | 0.0% | 0.0 |
How to Read the Standings
- Presence rate: the share of qualified observations in which the brand is mentioned at all, whether recommended or not.
- Valid recommendation coverage: the share of qualified observations in which the brand appears in a valid recommendation shortlist.
- Top-three rate: the share of qualified observations in which the brand appears among the top three recommended options.
- Rank-one rate: the share of qualified observations in which the brand is the first recommendation.
- Net sentiment: the balance of positive over negative mention-level sentiment, scaled from -1.0 to 1.0.
For formulas and denominator rules, see AI Visibility Market Discovery Metric Definitions.
Recommendation Coverage Movement
Questions This Section Answers
- Which truck accident lawyer saw the largest coverage decline since the July 2026 baseline?
- Did any brand record a significant month-over-month coverage change from September to October 2026?
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Brand | Jul 2026 | Oct 2026 | Movement since baseline |
|---|---|---|---|
Cooper Hurley Injury Lawyers | 0.5% | 0.0% | Down 0.5 points |
Dolman Law Group | 15.8% | 1.8% | Down 14.0 points |
Fletcher Law | 0.0% | 0.4% | Up 0.4 points |
Hensley Legal Group | 2.5% | 1.8% | Down 0.7 points |
Lerner & Rowe | 4.5% | 6.1% | Up 1.6 points |
Morgan & Morgan | 61.9% | 56.6% | Down 5.3 points |
Painter Law Firm | 0.0% | 0.0% | No change |
Stewart Miller Simmons | 24.3% | 16.2% | Down 8.1 points |
The Barnes Firm | 16.3% | 8.8% | Down 7.5 points |
Zinda Law Group | 0.5% | 0.9% | Up 0.4 points |
Month-over-month movement from September 2026 to October 2026 was not significant for any tracked brand. Morgan & Morgan moved from 50.9% in September 2026 to 56.6% in October 2026, Stewart Miller Simmons moved from 15.2% to 16.2%, The Barnes Firm moved from 6.9% to 8.8%, Lerner & Rowe moved from 5.9% to 6.1%, and Zinda Law Group moved from 1.7% to 0.9% — all within normal month-to-month variation.
Largest Decline: Dolman Law Group
Dolman Law Group's valid recommendation coverage fell from 15.8% in July 2026 to 1.8% in October 2026, a drop of 14.0 percentage points. The brand's top-three rate declined from 13.9% in July 2026 to 1.3% in October 2026, and its rank-one rate fell from 1.0% in July 2026 to 0.0% in October 2026. Dolman Law Group declined in each of the three months since July 2026, moving from 15.8% in July 2026 to 7.2% in August 2026 to 3.5% in September 2026 to 1.8% in October 2026.
Category Leader: Morgan & Morgan
Morgan & Morgan led the benchmark for a fourth consecutive month with 56.6% valid recommendation coverage in October 2026. The lead over the next closest brand, Stewart Miller Simmons at 16.2%, was 40.4 percentage points. The gap between Morgan & Morgan and Lerner & Rowe narrowed from 57.4 percentage points in July 2026 to 50.5 percentage points in October 2026.
Stable Brands
Cooper Hurley Injury Lawyers, Fletcher Law, Hensley Legal Group, Lerner & Rowe, Painter Law Firm, and Zinda Law Group registered no significant movement from baseline in October 2026. Lerner & Rowe moved from 4.5% in July 2026 to 6.1% in October 2026, within normal month-to-month variation. Zinda Law Group moved from 0.5% in July 2026 to 0.9% in October 2026, also within normal variation. Hensley Legal Group moved from 2.5% in July 2026 to 1.8% in October 2026. Fletcher Law moved from 0.0% in July 2026 to 0.4% in October 2026. Cooper Hurley Injury Lawyers moved from 0.5% in July 2026 to 0.0% in October 2026. Painter Law Firm recorded no qualified recommendations in either month.
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The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.
Recommendation Placement Snapshot
Questions This Section Answers
- How did top-three and rank-one placement rates differ among the leading truck accident lawyers?
- Which brand converted more of its coverage into rank-one recommendations?
Coverage alone does not show how prominently a brand is recommended. Among the leading brands, placement patterns differed in October 2026.
Brand | Oct 2026 top-three rate | Oct 2026 rank-one rate | Jul 2026 top-three rate | Jul 2026 rank-one rate |
|---|---|---|---|---|
Morgan & Morgan | 41.2% | 31.1% | 49.0% | 37.6% |
Stewart Miller Simmons | 14.5% | 9.7% | 22.3% | 7.4% |
The Barnes Firm | 7.9% | 1.8% | 15.8% | 4.5% |
Placement quality is not uniform across the leading brands. Stewart Miller Simmons converted more of its coverage into rank-one placements than The Barnes Firm did in October 2026, with rank-one rates of 9.7% and 1.8% respectively.
Buyer-Intent Distribution
Questions This Section Answers
- Which buyer-intent classes are currently measured in the truck accident lawyer benchmark?
- Are pricing and multi-brand comparison questions represented in this series yet?
All qualified observations in July 2026 and October 2026 fell into the brand recommendation class.
Buyer-intent class | Jul 2026 | Oct 2026 |
|---|---|---|
Brand Recommendation | 202 | 228 |
Pricing & Value | 0 | 0 |
Multi-Brand Comparison | 0 | 0 |
Total qualified observations | 202 | 228 |
The current public series measures brand recommendation discovery and does not yet contain qualified observations in the pricing and value or multi-brand comparison classes.
Historical Measurement Record
Questions This Section Answers
- How has the coverage leader and its share changed across the four measurements since July 2026?
- Which measurement month recorded the largest single-brand coverage movement?
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The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.
This is an evergreen benchmark URL. New measurements are added to the same report.
Measurement | Qualified observations | Coverage leader | Leader coverage | Largest coverage movement |
|---|---|---|---|---|
Jul 2026 (Baseline) | 202 | Morgan & Morgan | 61.9% | 61.9% coverage for Morgan & Morgan |
Aug 2026 | 262 | Morgan & Morgan | 57.6% | Down 4.3 points for Morgan & Morgan |
Sep 2026 | 289 | Morgan & Morgan | 50.9% | Down 11.0 points for Morgan & Morgan |
Oct 2026 | 228 | Morgan & Morgan | 56.6% | Down 14.0 points for Dolman Law Group |
Evidence and Source Layer
Questions This Section Answers
- What source data does each prompt-level observation retain for the truck accident lawyer benchmark?
- Does a cited source count as proof that it caused a brand recommendation?
The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.
Scope Boundaries
This public benchmark does not measure:
- Market share or revenue attribution
- Attributable sales or client conversions
- Every possible AI response, only the sampled surfaces and prompts
- Organic-search ranking positions
- Social media mention volume
- Private or sponsored channels such as gated content or paid placements
- Causality from a metric movement alone; the benchmark records change, not its cause
Top 10 Cited Domains
Questions This Section Answers
- Which domains were cited most across AI platform responses in this measurement period?
- How concentrated are citations among the top domains, and which platforms cited forthepeople.com?
Across all AI platform responses in this measurement period, 5,182 citations were observed across 1,494 unique domains.
Rank | Domain | Citations | Share | Platforms citing |
|---|---|---|---|---|
1 | google.com | 1,065 | 20.6% | AI Mode, AI Mode Keywords, AI Overviews, AI Overviews Keywords |
2 | forthepeople.com | 517 | 10.0% | ChatGPT, Copilot, Gemini, AI Mode, AI Mode Keywords, AI Overviews, AI Overviews Keywords, Perplexity |
3 | youtube.com | 106 | 2.0% | Gemini, AI Mode, AI Mode Keywords, AI Overviews, AI Overviews Keywords, Perplexity |
4 | en.wikipedia.org | 100 | 1.9% | ChatGPT, Copilot, Gemini, AI Mode, AI Mode Keywords, AI Overviews, AI Overviews Keywords, Perplexity |
5 | reddit.com | 71 | 1.4% | Gemini, AI Mode, AI Mode Keywords, AI Overviews, AI Overviews Keywords, Perplexity |
6 | lawfuel.com | 52 | 1.0% | ChatGPT, Copilot, Gemini, AI Mode, AI Mode Keywords, AI Overviews, Perplexity |
7 | forbes.com | 47 | 0.9% | ChatGPT, Copilot, AI Mode, AI Mode Keywords, AI Overviews, AI Overviews Keywords, Perplexity |
8 | smstrial.com | 41 | 0.8% | Copilot, Gemini, AI Mode Keywords, AI Overviews, AI Overviews Keywords, Perplexity |
9 | facebook.com | 38 | 0.7% | AI Mode, AI Mode Keywords, AI Overviews, AI Overviews Keywords, Perplexity |
10 | linkedin.com | 38 | 0.7% | ChatGPT, Copilot, AI Mode, AI Mode Keywords, AI Overviews, AI Overviews Keywords, Perplexity |
Citations are concentrated in a small number of domains, with the top two domains accounting for 30.6% of all citations. The domain forthepeople.com, which is associated with Morgan & Morgan, appears in the top 10 and is cited across all eight platform variants. Review and social platforms including youtube.com, reddit.com, facebook.com, and linkedin.com appear alongside news and reference sources including en.wikipedia.org and forbes.com.
About This Benchmark
The LLM Authority Index AI Visibility Market Discovery Index is a neutral, industry-level benchmark tracking how brands appear and are recommended across major AI and search surfaces. It is updated monthly with new measurements added to the same report.
- AI Visibility Market Discovery Methodology
- AI Visibility Market Discovery Metric Definitions
- AI Visibility Market Discovery Research Standards
- Modeled AI Visibility Authority Value
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