How AI Search Is Recommending Personal Injury Lawyers: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
15 minutes read

Key Takeaways

  • Morgan & Morgan remains the top recommended personal injury firm, but its lead over Wilshire Law Firm has narrowed sharply since July 2026.
  • Wilshire Law Firm is the clearest gainer in the series, with three straight months of coverage growth and stronger rank-one placement.
  • Dolman Law Group shows the steepest decline, falling for a third consecutive month and dropping to minimal coverage by October 2026.
  • The benchmark found seven high-severity factual inconsistencies across AI platforms, all tied to Morgan & Morgan, including conflicting claims about employment history and payout timing.

Executive Summary

Morgan & Morgan remains the category leader in valid recommendation coverage in October 2026, but the cushion behind it has shrunk to its narrowest point in the series. The benchmark shows Morgan & Morgan at 40.7% coverage in October 2026, down 9.6 points from 50.3% in July 2026. The gap to the next brand has compressed from 32.7 points in July 2026 to 11.9 points in October 2026, a category observation about competitive repositioning rather than any single brand's problem. The leader is still first by a wide margin, but the field behind it has closed steadily.

Wilshire Law Firm is the strongest upward mover with coverage, and it is the only brand to register a significant gain from baseline. Wilshire Law Firm's valid recommendation coverage rose from 17.6% in July 2026 to 28.8% in October 2026, up 11.2 points. Its top-three rate climbed from 12.4% to 23.4%, up 11.0 points, and its rank-one rate rose from 3.1% to 11.9%, up 8.8 points. This is the third consecutive month of coverage growth for the brand, which now sits clearly in second position.

Dolman Law Group is the sharpest decliner from baseline. Its coverage fell from 12.4% in July 2026 to 1.8% in October 2026, down 10.6 points, a third consecutive monthly decline. Morgan & Morgan, Lerner & Rowe, and The Barnes Firm also registered significant declines from July 2026 to October 2026.

Against the prior month, the category was mixed rather than decisive. Compared with September 2026, Morgan & Morgan gained 8.2 points, Wilshire Law Firm gained 5.1 points, Jacoby & Meyers gained 2.8 points, and The Barnes Firm gained 3.0 points. Dolman Law Group slipped 1.5 points and Zinda Law Group slipped 0.6 points. No brand registered a significant prior-to-current move this month, though the third month of Wilshire Law Firm's upward coverage streak and the compression of the leader's lead are the notable patterns worth tracking.

Each monthly run begins with 521 prompt-surface observations in July 2026 (428 unique questions) and 663 in October 2026 (489 unique questions) across the benchmark's defined AI/search surface universe. Of those, 521 in July and 608 in October mentioned a tracked brand or competitor; 313 were relevant and 208 were irrelevant in July, versus 416 relevant and 192 irrelevant in October. The public metrics use the 193 qualified observations in July 2026 and the 226 in October 2026 that survive both qualification stages. August 2026 began with 585 prompt-surface observations and September 2026 with 652, with 255 and 274 qualified observations respectively.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Oct 2026

0%15%30%45%60%Jul 2026Aug 2026Sep 2026Oct 2026
  • Morgan & Morgan40.7%
  • Wilshire Law Firm28.8%
  • Jacoby & Meyers20.3%
  • The Barnes Firm12.8%
  • Lerner & Rowe5.3%
  • Dolman Law Group1.8%
  • Sokolove Law1.8%
  • Pintas & Mullins1.3%
  • Goldwater Law Firm0.9%
  • Zinda Law Group0.9%

Key Findings

Signal

October 2026 finding

Category leader

Morgan & Morgan leads at 40.7% coverage, down from 50.3% in July 2026

Second-place brand

Wilshire Law Firm holds 28.8% coverage, up from 17.6% in July 2026, a third consecutive monthly gain

Largest significant riser

Wilshire Law Firm rose 11.2 points from July 2026

Largest significant decliner

Dolman Law Group fell 10.6 points from July 2026, its third consecutive monthly decline

Recommendation-shaped answers

52.7% of October 2026 responses were recommendation-shaped, up from 41.5% in July 2026

Qualified surface breadth

All six AI surface families captured qualified observations in both July 2026 and October 2026

AI Response Inconsistency Alerts

The benchmark detected 7 critical or high-severity factual inconsistencies across 3 AI platforms, all involving Morgan & Morgan.

Morgan & Morgan

Employment history of Dan Newlin (critical). AI platforms provided conflicting information about whether Dan Newlin worked for Morgan & Morgan. When asked "Did Dan Newlin work for Morgan & Morgan?", ChatGPT stated that he worked for the firm for roughly 10 years, leaving in late 2011, citing a federal court order and an Orlando Sentinel report. Copilot explicitly denied any such employment, stating that Dan Newlin never worked for Morgan & Morgan and founded his own firm in 2001, citing Wikipedia, a Cornell Law lawyer directory, and Avvo. The two claims are mutually exclusive.

Employment history of Dan Newlin (critical). A closely related conflict surfaced on the question "Did Dan Newlin work for Morgan and Morgan?" ChatGPT stated that he worked for the firm for about a decade, leaving in 2011, citing WESH and West Orlando News coverage. Copilot again denied any employment, stating that he founded his own firm in 2001 and has operated independently ever since, citing Wikipedia, Cornell Law, and Martindale. Notably, the WESH and West Orlando News pages cited by ChatGPT carry excerpts describing Newlin as leaving Morgan & Morgan to launch his own firm, directly contradicting the Wikipedia excerpt Copilot relied on.

Payout timing after settlement (high). When asked "How long does it take Morgan & Morgan to settle a case?", ChatGPT stated that payout is typically 60 to 90 days after settlement, citing the firm's FAQ page, while Perplexity stated that funding typically comes about 1 to 6 weeks after settlement is reached, citing the firm's FAQ, a third-party review, and a firm blog post. The two non-overlapping timelines cannot both describe the typical window.

Whether John Morgan's sons are attorneys (high). When asked "Is John Morgan's daughter an attorney?", ChatGPT stated that the sons Matt, Michael, and Daniel are lawyers, citing a trial lawyer magazine PDF. Copilot stated that none of the children, including Matt, Michael, and Daniel, are attorneys and that they pursued careers outside the legal field, citing FindLaw, Martindale, and the firm's own attorney page. Both positions cannot be true.

Florida attorney headcount (high). When asked "Who is the biggest law firm in Florida?", ChatGPT stated that Morgan & Morgan is the biggest Florida-based law firm by overall attorney headcount at 1,270 firmwide, citing a GlobeNewswire release, a Tampa Bay Business Journal ranking, and a Greenberg Traurig press release. Copilot stated that Morgan & Morgan has 544 Florida attorneys and ranks third behind Holland & Knight and Cole Scott & Kissane, citing ZoomInfo, the same Tampa Bay Business Journal ranking, and a Vault regional guide. The two headcount rankings cannot both be correct.

Payout timeline after settlement (high). When asked "How long does it take to get money from Morgan and Morgan?", Perplexity stated that settlements typically pay out within about 7 to 10 business days after the closing statement is signed, citing the firm's blog and practice-area pages, while ChatGPT stated that it typically takes about 4 to 8 weeks, citing a firm blog post. The two timelines are incompatible.

Payout timeline after settlement (high). On the same question, Perplexity again stated a typical 7 to 10 business day payout, while Copilot stated that most clients are paid within 1 to 6 weeks once all documents are signed and liens are cleared, citing firm blog pages. The 7 to 10 business day figure and the 1 to 6 week figure cannot both be typical.

Benchmark Context

Questions This Section Answers

  • How large was the qualified benchmark set in October 2026 compared with July 2026?
  • Why are brand-level recommendation percentages calculated within the qualified set rather than the raw collection universe?

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

Research stage

Jul 2026

Oct 2026

What it represents

Source prompt-surface observations collected

521

663

Total prompt-surface pairs captured

Unique questions

428

489

Distinct questions after de-duplication

Brand / competitor mentions

521

608

Prompts mentioning a tracked brand or competitor

Relevant prompts

313

416

Prompts relevant to the benchmark's scope

Irrelevant prompts

208

192

Prompts outside the analysis scope

Qualified benchmark observations

193

226

Public denominator for all percentages

Qualified surface breadth

6

6

AI surface families with at least one qualified observation

August 2026 collected 585 prompts and produced 255 qualified observations, while September 2026 collected 652 prompts and produced 274 qualified observations. October 2026 returned to 226 qualified observations, a smaller qualified set than September but one drawn from a comparable collection volume. The raw collection universe is consistently larger than the qualified set that drives every brand-level rate reported below.

Benchmark-Level Metrics

Metric

Jul 2026

Oct 2026

Change

Qualified observations

193

226

+33

Companies tracked

10

10

No change

Recommendation-shaped answer share

41.5%

52.7%

Up 11.2 points

Valid recommendation shortlist share

60.6%

68.6%

Up 8.0 points

Category leader by coverage

Morgan & Morgan

Morgan & Morgan

No change

Both category-level measures moved upward from baseline to the current month: the recommendation-shaped answer share rose 11.2 points and the valid recommendation shortlist share rose 8.0 points. A larger share of qualified responses in October 2026 were shaped as recommendations or shortlists than at baseline.

AI Recommendation Trend

Questions This Section Answers

  • How has the gap between the top two personal injury law firms changed across the benchmark series?
  • Which brands gained or lost recommendation coverage from July 2026 to October 2026?
  • How much did Morgan & Morgan's lead over Wilshire Law Firm compress by October 2026?

Leadership Holds, but the Lead Has Compressed for the Third Straight Month

Morgan & Morgan's gap over Wilshire Law Firm narrowed from 32.7 points in July 2026 to 11.9 points in October 2026. That is still a comfortable first-place margin, but the category has moved decisively away from a dominant-leader structure.

Brand

Jul 2026

Oct 2026

Movement

Oct 2026 rank

Morgan & Morgan

50.3%

40.7%

Down 9.6 points

1st

Wilshire Law Firm

17.6%

28.8%

Up 11.2 points

2nd

Jacoby & Meyers

20.7%

20.3%

Down 0.4 points

3rd

The Barnes Firm

21.2%

12.8%

Down 8.4 points

4th

Lerner & Rowe

11.4%

5.3%

Down 6.1 points

5th

Dolman Law Group

12.4%

1.8%

Down 10.6 points

6th

Sokolove Law

0.5%

1.8%

Up 1.3 points

7th

Pintas & Mullins

0.0%

1.3%

Up 1.3 points

8th

Goldwater Law Firm

0.0%

0.9%

Up 0.9 points

9th

Zinda Law Group

0.0%

0.9%

Up 0.9 points

10th

Only Wilshire Law Firm exceeded normal month-to-month variation across the span of the series, and the category-level movement came from the combination of several smaller shifts. Morgan & Morgan's baseline-to-current decline and Wilshire Law Firm's baseline-to-current gain are the two structural movements that reshaped the field behind the leader.

What Changed This Month

Questions This Section Answers

  • How did Morgan & Morgan's coverage and placement shift between September and October 2026?
  • Which surfaces or question types drove Wilshire Law Firm's third consecutive coverage gain?
  • What drove Dolman Law Group's third consecutive monthly decline in recommendation coverage?

Morgan & Morgan: A Rebound Month Against a Still-Narrower Baseline Lead

Morgan & Morgan's valid recommendation coverage fell from 50.3% in July 2026 to 32.5% in September 2026, then recovered to 40.7% in October 2026. The baseline-to-current move is a decline of 9.6 points. Read against the prior month, however, October 2026 was a gain of 8.2 points, the sharpest monthly recovery of the series.

Placement moved with coverage. Top-three rate stood at 34.5% in October 2026 versus 44.6% in July 2026, a drop of 10.1 points. Rank-one rate was 23.9% in October 2026 against 36.3% in July 2026, a fall of 12.4 points. The brand captured 92 valid recommendations in October 2026, the most in the category, down from 97 at baseline in July 2026.

The distinction to notice: Morgan & Morgan remains both the most present and the most recommended brand, but its raw mention presence fell from 82.9% in July 2026 to 70.8% in October 2026, down 12.1 points. Its lead over Wilshire Law Firm narrowed from 32.7 points in July 2026 to 11.9 points in October 2026, a gap that has compressed every month of the series.

Highest-priority diagnostic: Which high-intent prompts still place Morgan & Morgan first, and which prompts that once did now surface a different brand in that position?

Wilshire Law Firm: A Third Consecutive Coverage Gain

Wilshire Law Firm's valid recommendation coverage rose from 17.6% in July 2026 to 28.8% in October 2026, up 11.2 points, a significant gain. The series reads 17.6%, then 23.5% in August 2026, 23.7% in September 2026, and 28.8% in October 2026, a third consecutive monthly increase.

Placement improved across every tier. Top-three rate rose from 12.4% in July 2026 to 23.4% in October 2026, up 11.0 points. Rank-one rate climbed from 3.1% to 11.9%, up 8.8 points. The brand captured 65 valid recommendations in October 2026, up from 34 at baseline.

The distinction to notice: the brand's raw mention presence rose from 19.7% in July 2026 to 30.5% in October 2026, a gain of 10.8 points, so Wilshire Law Firm is both appearing more often and being recommended higher when it appears. That combination is what moved it from a mid-tier option to the consistent second choice behind the leader.

Highest-priority diagnostic: Which surfaces or question types are producing the sustained coverage gain, and is the growth concentrated in specific practice areas?

Dolman Law Group: Third Consecutive Monthly Decline

Dolman Law Group's valid recommendation coverage fell from 12.4% in July 2026 to 1.8% in October 2026, down 10.6 points, a significant decline. The series reads 12.4%, then 6.7% in August 2026, 3.3% in September 2026, and 1.8% in October 2026, a third consecutive monthly decline with the largest single-month move of 5.7 points occurring between July and August.

Placement fell in parallel. Top-three rate dropped from 8.8% in July 2026 to 1.3% in October 2026, down 7.5 points, a significant move. Rank-one rate was 0.4% in October 2026 against 0.0% in July 2026. The brand held 4 valid recommendations in October 2026 versus 24 at baseline.

The distinction to notice: Dolman Law Group is appearing less often and being listed less often. Raw mention presence fell from 12.4% in July 2026 to 1.8% in October 2026, so presence and coverage moved together. With only 4 valid recommendations in October 2026, a limited set of prompts could account for the change. The benchmark also records that the coverage gap between Dolman Law Group and Wilshire Law Firm widened by 21.8 points across the series, widening every month, and the gap between The Barnes Firm and Wilshire Law Firm widened by 19.6 points, also widening every month.

Highest-priority diagnostic: Which prompt categories previously surfaced Dolman Law Group and no longer do, and which brands now occupy those positions?

The Barnes Firm: Significant Decline With a Small Positive Turn

The Barnes Firm's valid recommendation coverage fell from 21.2% in July 2026 to 12.8% in October 2026, down 8.4 points, a significant decline. The series reads 21.2%, then 13.3% in August 2026, 9.8% in September 2026, and 12.8% in October 2026. Against the prior month, October 2026 was a gain of 3.0 points, not large enough on its own to register as significant.

Top-three rate fell from 16.6% in July 2026 to 10.2% in October 2026, down 6.4 points. Rank-one rate declined from 4.7% to 1.8%, down 2.9 points. The brand held 29 valid recommendations in October 2026 versus 41 at baseline. Raw mention presence fell from 21.8% in July 2026 to 14.2% in October 2026, down 7.6 points, a significant move.

The distinction to notice: the firm's top-three rate fell nearly as sharply as its general presence across the series, so this is not a case of becoming visible without being recommended. It is fading from both visibility and recommendation lists, though October's small positive turn against September is worth confirming in the next cycle. Net sentiment remained positive at 0.9.

Highest-priority diagnostic: Which lists removed The Barnes Firm from top-three placement, and which brands absorbed those positions?

Lerner & Rowe: Significant Decline With a Rank-One Gain

Lerner & Rowe's valid recommendation coverage fell from 11.4% in July 2026 to 5.3% in October 2026, down 6.1 points, a significant decline. The series reads 11.4%, then 8.6% in August 2026, 4.4% in September 2026, and 5.3% in October 2026. Against the prior month, October 2026 was a gain of 0.9 points.

Top-three rate fell from 9.3% in July 2026 to 4.9% in October 2026, down 4.4 points. Rank-one rate rose from 0.0% to 0.9%, a small gain. The brand held 12 valid recommendations in October 2026 versus 22 at baseline. Raw mention presence declined from 13.5% in July 2026 to 5.3% in October 2026, down 8.2 points, a significant move.

The distinction to notice: Lerner & Rowe is appearing less often overall, but when it does appear it is slightly more likely to appear first. With 12 valid recommendations in October 2026, the counts are small enough that individual prompts could drive the ranking shift.

Highest-priority diagnostic: Which prompts still place Lerner & Rowe at rank one, and what distinguishes those from the prompts where the brand has lost list presence?

Buyer-Intent Interpretation

Questions This Section Answers

  • Which buyer-intent cluster accounted for all qualified observations in October 2026?
  • What can the public benchmark not yet answer about pricing or head-to-head comparisons for personal injury lawyers?

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Prompts seeking a direct recommendation for a personal injury lawyer

Which brands are AI systems recommending first and most often?

Pricing & Value

Prompts addressing cost, fees, or value considerations

What do AI systems say about pricing or value, and which brands benefit?

Multi-Brand Comparison

Prompts asking for head-to-head comparison of multiple firms

Which brands appear in comparison responses, and who wins the recommendation?

In October 2026, all 226 qualified observations fell into the Brand Recommendation cluster. The benchmark's response-type distribution shows 117 recommendation shortlists, 33 ranked lists, 59 factual answers, 2 mixed responses, 8 comparison analyses, 4 pricing analyses, and 3 cautionary answers in October 2026. While comparison and pricing responses exist in the raw collection, they did not survive into the qualified set as distinct clusters.

The practical implication: the public benchmark answers the question "which personal injury lawyer should I hire?" It cannot yet answer pricing or value questions systematically, nor can it show how brands fare in direct head-to-head comparisons. A firm that wins on fee structure or comparison positioning may remain invisible in this public view.

Brand Opportunity Summary

Questions This Section Answers

  • Which prompts no longer place Morgan & Morgan first, and which brands replaced it?
  • Which brands registered a significant baseline decline versus a sustained gain in October 2026?

Brand

Oct 2026 coverage

Current signal

Highest-priority diagnostic

Morgan & Morgan

40.7%

Leader, significant baseline decline, partial rebound in October

Which prompts no longer place the brand first, and who replaced it?

Wilshire Law Firm

28.8%

Significant riser, third consecutive coverage gain

Which surfaces or question types drive the sustained gain?

Jacoby & Meyers

20.3%

Stable, essentially flat against baseline

Which lists reduced the brand's presence?

The Barnes Firm

12.8%

Significant baseline decline, small October gain

Which lists removed the brand from top-three placement?

Lerner & Rowe

5.3%

Significant baseline decline with a rank-one gain

What distinguishes the prompts where the brand ranks first?

Dolman Law Group

1.8%

Significant decliner, third consecutive monthly decline

Which prompts no longer surface the brand?

Sokolove Law

1.8%

Stable, small gain against baseline

Which prompts produce the new recommendations?

Pintas & Mullins

1.3%

Small continuing presence

Which prompts sustain the brand's recommendation presence?

Goldwater Law Firm

0.9%

Minimal presence, second consecutive monthly gain

Which prompts produced the new recommendation?

Zinda Law Group

0.9%

Small presence, first monthly decline

Which prompts still surface the brand?

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 CiteWorks Studio AI Visibility Industry Market research program.

Report-Specific Interpretation Notes

  • Small-count movements: Goldwater Law Firm, Zinda Law Group, Pintas & Mullins, Sokolove Law, and Lerner & Rowe all sit at or below 5.3% coverage in October 2026, based on 2 to 12 valid recommendations. These patterns require confirmation across subsequent cycles.
  • Qualified denominator: Every percentage in this report uses the qualified observation count (193 in July 2026, 255 in August 2026, 274 in September 2026, 226 in October 2026), not the larger raw collection universe. The October 2026 qualified set is smaller than September's, so month-to-month comparisons should be read with that difference in mind.
  • Directional analysis: 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 in this report raise questions that only prompt-level analysis can answer. Which high-intent prompts is a brand winning, and which is it losing? When a brand loses the recommendation, which competitor takes its place? What attributes do AI systems associate with each option, and which external sources shape those answers? A brand at 40.7% coverage, like Morgan & Morgan, needs to know whether its movement is concentrated in specific practice areas, question types, or surfaces before it can respond.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. The public benchmark shows where attention is warranted; the audit explains why and charts the path forward.

Request an AI visibility audit

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What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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