Car Accident Lawyers: AI Visibility Market Discovery Index

Benchmark Summary

Questions This Section Answers

• Who led the car accident lawyer benchmark in October 2026, and by how much?
• Which brands' coverage moved beyond normal month-to-month variation?
• How did the number of qualified observations and AI surface breadth change since July 2026?

Morgan & Morgan led the Car Accident Lawyers benchmark in October 2026 with valid recommendation coverage of 33.3%, ahead of Wilshire Law Firm at 26.0%. The gap between the top two brands stood at 7.3 percentage points.

The largest coverage increase from July 2026 to October 2026 was Phillips Law Group, which rose from 6.9% in July 2026 to 14.7% in October 2026. The largest coverage decline was Morgan & Morgan, which fell from 58.2% in July 2026 to 33.3% in October 2026.

This was a mixed month across the category. Phillips Law Group was the only brand whose coverage rose beyond normal month-to-month variation across the full series; Cellino Law, Dolman Law Group, Morgan & Morgan, and The Barnes Firm declined beyond normal variation on the same baseline-to-current view. Five brands moved within normal month-to-month variation since July 2026. Morgan & Morgan has held the category lead in every month of the series, despite a steep drop in coverage between July 2026 and August 2026.

The benchmark began with 652 prompt-surface observations in October 2026 and produced 285 qualified observations after qualification.

Current Benchmark at a Glance

Qualified surface breadth measures the number of canonical AI surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. The October 2026 benchmark includes all six families, up from four surface families in July 2026.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Car Accident Lawyers

Research Scope and Qualification

Questions This Section Answers

• How many raw prompt-surface observations narrowed down to the qualified benchmark?
• Why is the public benchmark narrower than the raw collection universe?

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 car accident lawyers had the highest valid recommendation coverage?
• Where did brands separate on rank-one rate versus overall coverage?
• How should presence rate, top-three rate, and net sentiment be read together?

How to Read the Standings

• Presence rate: share of qualified observations where the brand is mentioned by name.
• Valid recommendation coverage: share of qualified observations where the brand appears in a valid recommendation context.
• Top-three rate: share of qualified observations where the brand is recommended in positions one through three.
• Rank-one rate: share of qualified observations where the brand is recommended first.
• Net sentiment: positive minus negative mentions divided by total mentions, on a scale from -1 to 1.

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

Recommendation Coverage Movement

Questions This Section Answers

• Which car accident lawyer saw the largest recommendation coverage increase since the baseline?
• How much did Morgan & Morgan's coverage decline, and when did most of the drop occur?
• Which brands stayed within normal month-to-month variation?

Largest Increase: Phillips Law Group

Phillips Law Group's valid recommendation coverage rose from 6.9% in July 2026 to 14.7% in October 2026. The brand has risen in each of the two months since September 2026, moving from 5.9% in September 2026 to 14.7% in October 2026. Presence rose from 7.5% in July 2026 to 14.7% in October 2026, and top-three rate rose from 5.5% to 10.5% over the same period. Net sentiment stood at 1.00 in October 2026.

Largest Decline: Morgan & Morgan

Morgan & Morgan's valid recommendation coverage fell from 58.2% in July 2026 to 33.3% in October 2026, a decline of 24.9 percentage points. Most of the decline occurred between July 2026 and August 2026, when coverage fell from 58.2% to 33.6%. Coverage has been broadly flat since then, moving from 33.0% in September 2026 to 33.3% in October 2026. Presence declined from 76.0% to 60.4%, top-three rate fell from 46.6% to 24.9%, and rank-one rate fell from 40.4% to 19.3% across the full series. Morgan & Morgan remained the category leader despite the decline.

Category Leader: Morgan & Morgan

Morgan & Morgan held the highest valid recommendation coverage in October 2026 at 33.3%, ahead of Wilshire Law Firm at 26.0%. The brand's rank-one rate of 19.3% was well above the next-highest brand on that measure, Wilshire Law Firm at 9.1%.

Stable Brands

Five brands moved within normal month-to-month variation across the full series. Jacoby & Meyers held at 24.7% in July 2026 and 22.8% in October 2026 after a dip to 16.2% in September 2026. Lerner & Rowe moved from 17.8% to 12.6%, Wilshire Law Firm from 24.0% to 26.0%, and Hensley Legal Group from 2.7% to 1.4%. Zinda Law Group moved from 0.0% to 0.7%.

Recommendation Placement Snapshot

Questions This Section Answers

• How did rank-one rates compare to overall coverage among the leading car accident lawyers?
• Why can close coverage levels hide very different first-position rates?

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

Morgan & Morgan's rank-one rate of 19.3% in October 2026 was more than double Wilshire Law Firm's 9.1%. Close coverage can still hide very different first-position rates.

Buyer-Intent Distribution

Questions This Section Answers

• Which buyer-intent classes produced qualified observations in the benchmark?
• What does the absence of Pricing & Value and Multi-Brand Comparison observations mean for the current series?

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

The current public series measures brand recommendation discovery and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.

Historical Measurement Record

Questions This Section Answers

• Who has led every measurement in the car accident lawyer series?
• What does the measurement history show about coverage stability since the baseline?

This is an evergreen benchmark URL. New measurements are added to the same report.

Evidence and Source Layer

Questions This Section Answers

• What does each prompt-level observation preserve about the recommendation outcome?
• Does a source appearing in AI citations prove it caused the 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. Each observation preserves what was asked, which AI surface answered, which brands were named, where they appeared in a recommendation, and how they were described. 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 attributable sales
• Every possible AI response across all possible prompts
• Organic-search ranking
• Social mention volume
• Private or sponsored channels
• Causality from a metric movement alone

The benchmark expanded its surface coverage between July 2026 and September 2026; the data describes the output distribution across surfaces, not a change in platform behavior.

Top 10 Cited Domains

Questions This Section Answers

• Which domains received the most citations across AI platform responses?
• How concentrated are citations among the top domains?
• Which tracked brands' own domains appeared in the top 10 cited list?

Across all AI platform responses in October 2026, the benchmark observed 5,349 citations across 1,491 unique domains.

Citations are concentrated in a small number of domains, with the top 10 accounting for roughly 38% of all citations. Two tracked brands' own domains appear in the top 10: jacobyandmeyers.com at rank 6 and wilshirelawfirm.com at rank 9, alongside forthepeople.com, the domain associated with a prominent national personal-injury firm. Directories, social platforms, and news outlets account for the rest, with Google's own properties, Reddit, YouTube, and Wikipedia reflecting the broad information environment that AI surfaces draw on.

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index tracks how AI search and chat surfaces discover and recommend brands within a vertical. It measures presence, recommendation coverage, placement, and sentiment as distinct signals.

• 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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