Motorcycle Accident Lawyers: AI Market Discovery Index

Benchmark Summary

Morgan & Morgan led the Motorcycle Accident Lawyers benchmark in September 2026 with valid recommendation coverage of 34.0%, down from 48.6% in July 2026. The gap to the next brand, Lerner & Rowe, stood at 23.2 percentage points, as Lerner & Rowe's coverage fell to 10.8% in September 2026 from 20.4% in July 2026.

Multiple brands registered significant declines in September 2026. No brand posted a coverage increase large enough to classify as a significant riser. The largest month-over-month decline came from Lerner & Rowe, which fell to 10.8% in September 2026 from 23.4% in August 2026, a drop of 12.6 percentage points. Morgan & Morgan recorded the largest decline against baseline, falling 14.6 percentage points from 48.6% in July 2026 to 34.0% in September 2026.

The benchmark began with 636 prompt-surface observations in September 2026 and produced 259 qualified observations after qualification.

Current Benchmark at a Glance

August 2026 sat between these months with 248 qualified observations, a recommendation-shaped answer share of 45.2%, and a valid recommendation shortlist share of 67.7%.

Qualified surface breadth counts the six canonical AI/search surface families with at least one qualified observation: 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 Motorcycle Accident Lawyers

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design.

Brand-level percentages use the qualified observations as the public denominator, not the raw collection. AI Market Discovery Methodology

Current Brand Standings

How to Read the Standings

• Presence rate: Share of qualified observations where the brand appears in any form, whether recommended or merely mentioned.
• Valid recommendation coverage: Share of qualified observations where the brand appears in a recommendation shortlist of at least two options.
• Top-three rate: Share of qualified observations where the brand appears in the first three recommended positions.
• Rank-one rate: Share of qualified observations where the brand is the first recommendation.
• Net sentiment: Share of brand mentions that are positive minus the share that are negative, scored from mentions only.

For formulas and denominator rules, see AI Market Discovery Metric Definitions.

Recommendation Coverage Movement

Beyond baseline comparisons, several brands moved within the month as well. Lerner & Rowe's coverage fell 12.6 percentage points from August to September, from 23.4% to 10.8%. Dolman Law Group declined from 9.3% in August 2026 to 3.1% in September 2026, down 6.2 percentage points. Morgan & Morgan fell from 40.3% in August 2026 to 34.0% in September 2026. Law Tigers declined from 8.1% in August 2026 to 5.0% in September 2026. These four brands each recorded significant movement against baseline. Phillips Law Group's coverage rose to 8.9% in September 2026 from 8.6% in July 2026, though its presence rate of 11.6% remained within normal variation.

Largest Decline: Morgan & Morgan

Morgan & Morgan's leadership position weakened substantially across all placement metrics. Coverage fell 14.6 percentage points against baseline, from 48.6% in July 2026 to 34.0% in September 2026. Its top-three rate fell to 26.2% in September 2026 from 42.3% in July 2026, down 16.1 percentage points, and its rank-one rate fell to 18.5% from 32.3% over the same period, down 13.8 percentage points. Presence rate declined from 81.8% in July 2026 to 75.3% in September 2026.

Largest Decline: Lerner & Rowe

Lerner & Rowe posted the largest month-over-month decline, down 12.6 percentage points from 23.4% in August 2026 to 10.8% in September 2026. Against baseline, coverage fell 9.6 percentage points from 20.4% in July 2026. Presence rate declined to 14.3% in September 2026 from 25.0% in July 2026, down 10.7 percentage points. The brand appeared in 37 observations in September 2026 with 28 valid recommendations, compared with 64 observations and 58 valid recommendations in August 2026.

Largest Decline: The Barnes Firm

The Barnes Firm's coverage fell from 17.3% in July 2026 to 9.7% in September 2026, down 7.6 percentage points. Its top-three rate declined to 8.1% in September 2026 from 15.0% in July 2026, and its rank-one rate fell to 2.7% from 5.0% over the same period. The brand's presence rate declined 7.2 percentage points from 19.6% in July 2026 to 12.4% in September 2026. The brand appeared in 32 observations in September 2026 with 25 valid recommendations, compared with 43 observations and 38 valid recommendations in July 2026.

Category Leader: Morgan & Morgan

Morgan & Morgan remained the category leader with 34.0% valid recommendation coverage in September 2026, though this was down from 48.6% in July 2026. The leader's rank-one rate fell to 18.5% in September 2026 from 32.3% in July 2026, and its top-three rate fell to 26.2% from 42.3% over the same period. The leader's presence rate was 75.3% in September 2026, down from 81.8% in July 2026 but still ahead of the next brand's presence rate of 14.3%.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Among the leading brands, placement patterns diverged noticeably.

Similar coverage levels can still hide different first-position rates. Law Tigers carried a top-three rate that exactly matched its rank-one rate of 5.0%, meaning every Law Tigers recommendation appeared first.

Buyer-Intent Distribution

All qualified observations in both months fell into the Brand Recommendation class, covering discovery and consideration.

The current public series contains no qualified observations in the pricing and value or multi-brand comparison classes.

Historical Measurement Record

Evidence and Source Layer

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, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone. The movement should not yet be treated as an established trend.

About This Benchmark

The LLM Authority Index AI Market Discovery Index benchmarks how often brands appear in AI-generated recommendations across major AI and search surfaces. It is a neutral, repeatable industry measurement designed to track visibility and recommendation patterns over time.

• AI Market Discovery Methodology
• AI Market Discovery Metric Definitions
• AI Market Discovery Research Standards
• Modeled AI Authority Value

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