How AI Search Is Recommending Truck Accident Lawyers: Monthly Trends

Executive Summary

Morgan & Morgan remains the coverage leader in the truck accident lawyer category, though its valid recommendation coverage fell from 61.9% in July 2026 to 14.2% in August 2026, a decline of 47.7 points. The brand still leads the category, but its August total is now much closer to the field: second-place Stewart Miller Simmons holds 2.8% coverage, an 11.4-point gap behind the leader.

Six tracked brands registered significant declines in August 2026: Dolman Law Group, Hensley Legal Group, Lerner & Rowe, Morgan & Morgan, Stewart Miller Simmons, and The Barnes Firm. Stewart Miller Simmons had the largest decline among the brands that held meaningful July coverage, falling 21.5 points from 24.3% to 2.8%. Lerner & Rowe, which held 4.5% coverage in July, registered 0.0% in August. No tracked brand moved upward beyond normal month-to-month variation; Zinda Law Group's rise from 0.5% to 0.7% is the only upward movement recorded, and it falls within normal variation.

The August results sit against a changed research backdrop. The qualified observation count rose from 202 in July to 289 in August, while the share of recommendation-shaped answers fell from 56.9% to 17.0%, and the valid recommendation shortlist share fell from 68.3% to 15.2%. Nearly every tracked brand's coverage rate moved downward in the same month that these category-wide answer-shape metrics also fell. The benchmark records both patterns together; it does not establish whether one caused the other. The data describes the output distribution, not its cause.

Each monthly run begins with 800 prompt-surface observations (634 unique questions in July, 610 in August) across the benchmark's defined AI/search surface universe. Of those, 452 in July and 606 in August mentioned a tracked brand or competitor; 266 were relevant and 186 were irrelevant in July, versus 457 relevant and 149 irrelevant in August. The public metrics use the 202 qualified observations in July and 289 in August that survive both qualification stages.

Key Findings

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

These research-stage figures show that August's qualified set drew from a larger pool of relevant prompts than July's, even though both months began with 800 source observations across the same platform set.

Benchmark-Level Metrics

AI Recommendation Trend

The category leader held its position, but coverage compressed across nearly every tracked brand. Morgan & Morgan remains first by valid recommendation coverage, yet its 14.2% August share is less than a quarter of its July level. The second and third positions shifted: Stewart Miller Simmons moved into second at 2.8%, with The Barnes Firm and Dolman Law Group close behind.

Category-Wide Coverage Movement

Six brands recorded declines beyond normal month-to-month variation, and this occurred alongside a category-wide drop in the recommendation-shaped answer share, from 56.9% in July to 17.0% in August. The benchmark records both patterns together; it does not establish which one drove the other.

What Changed This Month

Morgan & Morgan: Leader Down Sharply

Morgan & Morgan's valid recommendation coverage fell from 61.9% in July to 14.2% in August. The brand was present in 180 of 202 qualified observations in July, and in 91 of 289 in August. Its rank-one rate dropped from 37.6% to 8.0%, and its top-three rate from 49.0% to 11.1%.

Presence declined alongside coverage. Raw mention presence fell from 89.1% in July to 31.5% in August, meaning the brand appeared in fewer AI responses at all, not just in fewer recommendation slots. Sentiment stayed positive, with a net sentiment score of 0.7 in August versus 0.8 in July.

The distinction to notice: Morgan & Morgan is still the most visible and most recommended brand, but the size of its lead has narrowed. The 61.9% to 14.2% move in coverage occurred in the same month that the category-wide recommendation-shaped answer share fell from 56.9% to 17.0%. The benchmark records both patterns together without establishing which one drove the other.

Highest-priority diagnostic: Which prompt types and surfaces drove the July coverage that disappeared in August, and where did those recommendation slots go?

Stewart Miller Simmons: Largest Downward Move Among the Decliners

Stewart Miller Simmons fell 21.5 points, from 24.3% in July to 2.8% in August. Its rank-one rate dropped from 7.4% to 2.4%, and its top-three rate from 22.3% to 2.8%.

Presence tracked coverage. Raw mention presence fell from 24.3% in July to 2.8% in August, with 49 present observations in July and 8 in August. The brand's net sentiment score held at 1.0 in both months, meaning the decline is about where the brand appears, not how it is described.

Stewart Miller Simmons went from the clear second-place brand to one among several closely clustered firms between 0.0% and 2.8% coverage. The rank-one rate drop of roughly 5 points is notable, since it suggests the brand lost not just recommendation mentions but the top slot specifically.

Highest-priority diagnostic: Which specific prompts produced Stewart Miller Simmons's 15 rank-one placements in July, and which brand now takes that slot in August?

Lerner & Rowe: From Positive Presence to Zero

Lerner & Rowe registered 4.5% valid recommendation coverage in July and 0.0% in August. The July figure rested on 9 valid recommendations from 11 present observations. In August, the brand appeared in 0 of 289 qualified observations.

Presence and coverage moved together, which makes this a visibility loss rather than a recommendation-quality issue. In July, the brand's net sentiment score was 0.8 across 11 mentions; in August there were no mentions to score.

The small counts matter here. Nine valid recommendations in July and zero in August is a real change, but the underlying number of observations is modest. The direction is clear: the AI surfaces in the August benchmark stopped surfacing Lerner & Rowe in the qualified set.

Highest-priority diagnostic: Which prompts and surfaces produced Lerner & Rowe's July mentions, and are those prompts even present in the August qualified set?

Dolman Law Group, The Barnes Firm, Hensley Legal Group: Significant Declines at Different Scales

Dolman Law Group fell 14.4 points from 15.8% to 1.4%, with 32 valid recommendations in July and 4 in August. Presence fell from 15.8% to 1.7%. The July recommendation count was substantial; the August count of 4 is small, so the 1.4% figure carries that caveat.

The Barnes Firm fell 14.6 points from 16.3% to 1.7%. Its rank-one rate dropped from 4.5% to 0.0% (9 rank-one placements in July, 0 in August). The brand's net sentiment score was 0.9 in July and 1.0 in August, so the decline is about presence, not perception.

Hensley Legal Group fell 2.5 points from 2.5% to 0.0%. The July figure represented 5 valid recommendations; in August the brand had 1 neutral mention and 0 valid recommendations. This is the smallest significant decline in the category, but it moves the brand from visible to effectively absent in recommendation outcomes.

Highest-priority diagnostic: For each of these three brands, which competitor appears in the AI recommendation slots they previously held?

Zinda Law Group: The Only Upward Mover

Zinda Law Group rose 0.2 points from 0.5% in July to 0.7% in August, from 1 valid recommendation to 2. This movement stays within normal month-to-month variation, and the counts are small, but it is the only tracked brand whose coverage direction was upward.

Presence rose from 1.0% to 1.7% raw mention presence, with 5 present observations in August versus 2 in July. Rank-one rate stayed at 0.0% in both months.

The distinction to notice: Zinda Law Group's recommendation coverage moved upward in a month when six other brands declined significantly. The absolute numbers remain small, but the directional difference is worth noting.

Highest-priority diagnostic: Which surfaces and prompts produced Zinda Law Group's 2 August valid recommendations?

Buyer-Intent Interpretation

All 289 qualified August observations fell into the Brand Recommendation cluster, with 7 companies present. None of the August observations qualified as Pricing & Value or Multi-Brand Comparison. The public benchmark therefore captures which firms AI systems recommend, but it cannot yet answer questions about how AI describes pricing, value, or head-to-head trade-offs between firms. Those commercial questions remain open for company-level analysis.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the LLM Authority Index AI Market Discovery research program.

• AI Industry Market Discovery
• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• The August qualified set (289 observations) is larger than July (202), and the recommendation-shaped answer share fell from 56.9% to 17.0%. Comparing the two months' percentages directly is valid, but the August figures rest on a different mix of response types.
• All percentages for Lerner & Rowe, Hensley Legal Group, and Cooper Hurley Injury Lawyers in August are based on zero valid recommendations and are presented as 0.0% with that small-count caveat.
• Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

The aggregate percentages answer the first question, but the actionable questions sit beneath them. Which high-intent prompts does a brand win outright, which competitor takes the recommendation when the brand loses, what attributes do AI systems associate with each option, and which external sources shape those answers? These are prompt-level and evidence-level questions that the public benchmark is not designed to answer.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It turns the benchmark's signal into a plan of record.

Request an AI visibility audit