Motorcycle Accident Lawyers: AI Visibility Market Discovery Index

Benchmark Summary

Questions This Section Answers

• Who leads the Motorcycle Accident Lawyers benchmark, and how large is the gap to the next brand?
• Which brands posted the largest recommendation coverage gain and decline since July 2026?

Morgan & Morgan led the Motorcycle Accident Lawyers benchmark in October 2026 with valid recommendation coverage of 40.8%, down from 48.6% in July 2026, a decline of 7.8 percentage points. The gap to the next brand, Phillips Law Group, stood at 22.4 percentage points.

October 2026 was a mixed month. Phillips Law Group posted the largest coverage increase, rising to 18.4% in October 2026 from 8.6% in July 2026, up 9.8 percentage points. The largest decline came from Dolman Law Group, which fell to 1.3% in October 2026 from 13.2% in July 2026, down 11.9 percentage points.

Across the full baseline-to-current series, Morgan & Morgan's coverage moved from 48.6% in July 2026 to 34.0% in September 2026 before recovering to 40.8% in October 2026. The Barnes Firm declined in each of the three months since July 2026, falling from 17.3% to 9.4%. Dolman Law Group also declined in each of the three months since July 2026, falling from 13.2% to 1.3%.

The benchmark began with 646 prompt-surface observations in October 2026 and produced 233 qualified observations after qualification.

Current Benchmark at a Glance

August 2026 and September 2026 sat between these months, with 248 and 259 qualified observations respectively.

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

Questions This Section Answers

• How many prompt-surface observations qualified for the public benchmark in October 2026?
• Why is the qualified benchmark observation count smaller than the raw collection totals?

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 Visibility Market Discovery Methodology

Current Brand Standings

Questions This Section Answers

• Which brands appear in the October 2026 motorcycle accident lawyer standings, and how do their presence and recommendation coverage rates compare?
• What separates Morgan & Morgan from the rest of the tracked brands?

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 Visibility Market Discovery Metric Definitions.

Recommendation Coverage Movement

Questions This Section Answers

• Which motorcycle accident lawyer brands gained or lost the most recommendation coverage against the July 2026 baseline?
• What September-to-October coverage shifts changed the picture for Law Tigers, Lerner & Rowe, and Morgan & Morgan?

September-to-October moves also mattered for several brands. Law Tigers rose 4.9 percentage points from 5.0% in September 2026 to 9.9% in October 2026. Lerner & Rowe rose 7.2 percentage points from 10.8% in September 2026 to 18.0% in October 2026. Phillips Law Group rose 9.5 percentage points from 8.9% in September 2026 to 18.4% in October 2026. Morgan & Morgan rose 6.8 percentage points from 34.0% in September 2026 to 40.8% in October 2026, though this remains within normal month-to-month variation against its baseline.

Largest Increase: Phillips Law Group

Phillips Law Group posted the largest coverage increase against baseline, rising 9.8 percentage points from 8.6% in July 2026 to 18.4% in October 2026. Its top-three rate rose to 12.4% in October 2026 from 6.4% in July 2026, up 6.0 percentage points. Its presence rate rose 8.8 percentage points from 9.6% in July 2026 to 18.4% in October 2026. The brand appeared in 43 observations in October 2026 with 43 valid recommendations.

Largest Decline: Dolman Law Group

Dolman Law Group posted the largest coverage decline against baseline, falling 11.9 percentage points from 13.2% in July 2026 to 1.3% in October 2026. The decline continued in each of the three months since July 2026. Its presence rate fell 12.3 percentage points from 13.6% in July 2026 to 1.3% in October 2026, and its top-three rate fell to 0.9% from 9.6% over the same period. The brand appeared in only 3 observations in October 2026, compared with 30 observations and 29 valid recommendations in July 2026.

Category Leader: Morgan & Morgan

Morgan & Morgan remained the category leader with 40.8% valid recommendation coverage in October 2026, down from 48.6% in July 2026. Its top-three rate fell 14.0 percentage points, and its rank-one rate fell 10.0 percentage points. Its presence rate was 72.1% in October 2026, down from 81.8% in July 2026 but still well ahead of the next brand's presence rate of 18.4%.

Recommendation Placement Snapshot

Questions This Section Answers

• How do top-three and rank-one rates differ among the leading motorcycle accident lawyer brands?
• Why can two brands with the same presence rate show very different first-position rates?

Coverage alone does not show how prominently a brand is recommended. Among the leading brands in October 2026, placement patterns diverged.

Phillips Law Group and Lerner & Rowe both reached 18.4% presence rate in October 2026, yet posted different top-three rates of 12.4% and 15.0% and notably different rank-one rates of 3.0% and 10.3%. Similar coverage levels can still hide sharply different first-position rates.

Buyer-Intent Distribution

Questions This Section Answers

• Which buyer-intent classes did the October 2026 qualified observations cover?
• Are pricing and value or multi-brand comparison questions represented in the current public series?

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

The current public series measures the Brand Recommendation class of discovery and does not yet contain qualified observations in the pricing and value or multi-brand comparison classes.

Historical Measurement Record

Evidence and Source Layer

Questions This Section Answers

• What does the top-cited domain data show about the evidence sources behind AI recommendations in this category?
• Which tracked brand domains appear among the most-cited sources, and what does that suggest about the information environment?

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

• Market share or attributable sales
• Every possible AI response across any surface
• Organic-search ranking
• Social mention volume
• Private or sponsored channels
• Causality from a metric movement alone

Top 10 Cited Domains

Across all AI platform responses in October 2026, the benchmark recorded 4,992 total citations across 1,423 unique domains.

Citations are concentrated in a small number of domains: the top 10 account for roughly 42% of all citations, and google.com alone accounts for 22.7%. Two tracked brand domains appear in the top 10: lernerandrowe.com at rank 8 and phillipslaw.com at rank 10, both of which registered coverage gains against baseline this month. Beyond those two brand sites, the most-cited domains skew toward general reference sources (Wikipedia, YouTube, Reddit) and national legal directories or news outlets rather than regionally specific legal resources.

About This Benchmark

The LLM Authority Index AI Visibility 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 Visibility Market Discovery Methodology
• AI Visibility Market Discovery Metric Definitions
• AI Visibility Market Discovery Research Standards
• Modeled AI Visibility Authority Value

Get a Company-Level Authority Index

The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper.

Get my free AI Company Index