Lerner & Rowe AI Visibility Market Strategy Report - Personal Injury Lawyers

Answer Capsule

Lerner & Rowe holds 5.31% valid recommendation coverage in the October 2026 LLM Authority Index benchmark for personal injury lawyers, ranking fifth of ten tracked firms. The firm appears in AI answers at a 5.31% raw mention presence rate, meaning nearly every appearance converts into a recommendation context, but the absolute volume of those appearances is small. Lerner & Rowe's clearest win is a perfect 1.0000 net sentiment score with zero negative framing across all tracked platforms. Its clearest weakness is a rank-one rate of just 0.88%, which limits first-position visibility in buyer shortlists. The clearest opportunity is expanding recommendation coverage in the brand recommendation cluster, where the firm currently captures 12 valid recommendations out of 226 qualified observations.

Who This Report Is For

This report is for Lerner & Rowe marketing leadership, business development teams, and agency partners who need to understand how the firm appears in AI-generated recommendations for personal injury legal services and where competitive displacement is occurring.

Report Card

Executive Summary

Lerner & Rowe holds 5.31% valid recommendation coverage in the October 2026 personal injury lawyer benchmark, placing the firm fifth among ten tracked brands. The firm recorded 12 valid recommendations from 226 qualified observations, with a raw mention presence rate of 5.31%. Because presence and recommendation coverage are identical at 5.31%, nearly every AI answer that mentions Lerner & Rowe also recommends the firm. The constraint is not conversion from mention to recommendation but the total number of appearances.

The benchmark shows Lerner & Rowe declined 6.1 percentage points from its July 2026 baseline of 11.4% coverage, a significant movement beyond normal variation. The firm recovered 0.9 percentage points from September 2026 to October 2026, which remains within normal month-to-month variation. The longer series shows a firm that has lost ground while competitors like Wilshire Law Firm gained 11.2 percentage points over the same period.

Lerner & Rowe's strongest signal is its sentiment profile. The firm recorded 12 positive mentions, zero neutral mentions, and zero negative mentions, producing a net sentiment score of 1.0000. This is the highest possible sentiment score and indicates that when AI systems discuss Lerner & Rowe, they frame the firm positively. No other tracked firm achieved a perfect sentiment score with zero neutral or negative mentions.

The firm's weakest signal is its rank-one rate of 0.88%, meaning Lerner & Rowe appears as the first recommendation in fewer than 1% of qualified observations. The firm captured only 2 rank-one recommendations in October 2026. By comparison, Morgan & Morgan holds a 23.89% rank-one rate and Wilshire Law Firm holds 11.95%. This gap limits Lerner & Rowe's visibility at the moment when buyers are forming their shortlist.

Platform analysis shows Lerner & Rowe's strongest recommendation signal on Google AI Overviews, where the firm achieved an 11.4% valid recommendation coverage rate and a 2.2% rank-one rate. The firm also recorded a 4.9% top-three rate on Google AI Mode. However, Lerner & Rowe has zero presence on Perplexity and zero recommendation coverage on ChatGPT and Copilot, despite appearing in at least one ChatGPT response.

The clearest opportunity for Lerner & Rowe is expanding its recommendation footprint in the brand recommendation cluster, which accounts for all 226 qualified observations in the benchmark. The firm currently captures 12 valid recommendations. Competitors like The Barnes Firm captured 29 and Jacoby & Meyers captured 46. Closing even a portion of that gap would materially improve Lerner & Rowe's competitive position in AI-generated shortlists.

What Lerner & Rowe Is Winning

Questions This Section Answers

• How did Lerner & Rowe achieve a perfect 1.0000 net sentiment score, and what does it mean when AI systems discuss the firm?
• Which platform produces Lerner & Rowe's strongest recommendation signal, and how strong is its performance there?
• Why does Lerner & Rowe convert nearly every AI mention into a recommendation context?

Lerner & Rowe holds the highest possible net sentiment score at 1.0000, with 12 positive mentions and zero neutral or negative mentions. This indicates that AI systems consistently frame the firm positively when they discuss it. No other tracked firm achieved a perfect sentiment score with zero neutral mentions.

The firm's strongest platform by recommendation behavior is Google AI Overviews, where Lerner & Rowe achieved an 11.4% valid recommendation coverage rate, a 4.9% top-three rate, and a 2.2% rank-one rate. This platform produced 5 valid recommendations for the firm from 44 observations.

Lerner & Rowe also shows a meaningful rank-one signal on Google AI Mode, where the firm recorded a 1.3% rank-one rate and a 5.2% top-three rate. The firm captured 4 valid recommendations on this platform.

The firm's conversion from mention to recommendation is efficient. With a 5.31% raw mention presence rate and 5.31% valid recommendation coverage, Lerner & Rowe converts nearly every appearance into a recommendation context. This suggests that when AI systems surface the firm, they do so with recommendation intent rather than as a neutral reference.

Where Lerner & Rowe Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How far behind category leaders is Lerner & Rowe on rank-one recommendations, and how many first-position placements did it capture?
• Which AI platform shows a complete absence of Lerner & Rowe across all 20 tracked observations?
• How did Lerner & Rowe's recommendation coverage and mention presence change from July to October 2026 compared with The Barnes Firm?

Lerner & Rowe's most significant gap is its rank-one rate of 0.88%, which places the firm far behind category leaders. Morgan & Morgan holds a 23.89% rank-one rate, Wilshire Law Firm holds 11.95%, and Jacoby & Meyers holds 3.98%. Lerner & Rowe captured only 2 rank-one recommendations in October 2026, compared to 54 for Morgan & Morgan and 27 for Wilshire Law Firm. This gap means the firm rarely appears as the primary recommendation when buyers ask AI systems for a personal injury lawyer.

The firm also shows zero presence on Perplexity across all 20 observations tracked on that platform. Lerner & Rowe recorded no mentions, no recommendations, and no sentiment data on Perplexity. This represents a complete absence from one of the six tracked AI platforms.

On ChatGPT, Lerner & Rowe recorded 1 valid recommendation from 25 observations, producing a 4.0% coverage rate. The firm achieved no rank-one placements on ChatGPT. On Copilot, the firm recorded 1 valid recommendation from 36 observations, producing a 2.8% coverage rate with no rank-one placements. These platforms represent significant gaps relative to the firm's Google AI Overviews performance.

The benchmark shows Lerner & Rowe declined 6.1 percentage points from its July 2026 baseline of 11.4% coverage to 5.31% in October 2026, a significant movement beyond normal variation. The firm's top-three rate fell from 9.3% to 4.87% over the same period, a decline of 4.4 percentage points. Raw mention presence declined from 13.5% to 5.31%, a significant drop of 8.2 percentage points. The firm is appearing less often in AI answers overall.

The Barnes Firm, which recorded a similar baseline decline, recovered 3.0 percentage points from September to October 2026 and holds a 10.18% top-three rate. Lerner & Rowe recovered only 0.9 percentage points and holds a 4.87% top-three rate. The competitive gap between Lerner & Rowe and The Barnes Firm widened across the series.

Biggest Opportunity

Questions This Section Answers

• What would it take for Lerner & Rowe to close the recommendation-count gap with competitors like Wilshire Law Firm and Jacoby & Meyers?
• Why is increasing the total number of AI answers that surface Lerner & Rowe more important than improving its mention-to-recommendation conversion?

Lerner & Rowe's clearest path from reference to recommendation is expanding its presence in the brand recommendation cluster, which accounts for all 226 qualified observations in the October 2026 benchmark. The firm currently captures 12 valid recommendations. Competitors like The Barnes Firm captured 29, Jacoby & Meyers captured 46, and Wilshire Law Firm captured 65.

The opportunity is not about improving conversion from mention to recommendation, since Lerner & Rowe already converts at a high rate. The opportunity is about increasing the total number of AI answers that surface the firm. With a 5.31% raw mention presence rate, Lerner & Rowe appears in approximately 12 of 226 qualified observations. Increasing that presence rate would directly increase recommendation coverage.

The firm's strongest platform, Google AI Overviews, demonstrates that Lerner & Rowe can achieve double-digit recommendation coverage when the conditions are right. The firm achieved 11.4% coverage on that platform. Replicating that performance across ChatGPT, Copilot, and Perplexity would materially improve the firm's overall position.

Competitive Landscape

Questions This Section Answers

• Where does Lerner & Rowe rank by top-three and rank-one rates among the ten tracked personal injury firms?
• How does Lerner & Rowe's average recommended rank compare with the rest of the category, and what does that say about its placement quality?
• Which firms hold the strongest rank-one recommendation rates, and how large is the gap to Lerner & Rowe?

Morgan & Morgan holds dominant recommendation power in the personal injury lawyer category with a 34.51% top-three rate and a 23.89% rank-one rate. Wilshire Law Firm is the strongest challenger with a 23.45% top-three rate and 11.95% rank-one rate. Lerner & Rowe sits in the middle of the tracked set, ahead of Dolman Law Group, Sokolove Law, Pintas & Mullins, Goldwater Law Firm, and Zinda Law Group, but behind Morgan & Morgan, Wilshire Law Firm, Jacoby & Meyers, and The Barnes Firm.

Average recommended rank covers rank-eligible recommendations only.

Lerner & Rowe ranks fifth by top-three rate and fifth by rank-one rate among the ten tracked firms. The firm's average recommended rank of 2.09 is the second-best in the category, behind only Sokolove Law's 1.00, indicating that when Lerner & Rowe does receive a rank-eligible recommendation, it typically appears near the top of the list. The constraint is the frequency of those recommendations, not their placement quality.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "personal injury attorney" Result: Lerner & Rowe appeared in a recommendation context with positive framing, contributing to the firm's 11.4% coverage rate on this platform.

ChatGPT / Brand Recommendation Prompt: "car accident lawyer" Result: Lerner & Rowe received a valid recommendation but no rank-one placement, reflecting the firm's limited first-position visibility on ChatGPT.

Google AI Mode / Brand Recommendation Prompt: "truck accident lawyer" Result: Lerner & Rowe appeared in a top-three recommendation position, contributing to the firm's 5.2% top-three rate on Google AI Mode.

Perplexity / Brand Recommendation Prompt: "slip and fall attorney" Result: Lerner & Rowe did not appear in the response, consistent with the firm's zero presence across all 20 Perplexity observations.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every high-intent prompt where Lerner & Rowe appears, where it is displaced, and which competitors absorb those positions across all six tracked platforms.

Phase 2: Recommendation Readiness Plan Prioritize the platforms and prompt types where the firm has the clearest path from mention to top-three placement, focusing on ChatGPT, Copilot, and Perplexity gaps.

Phase 3: Owned Answer Layer Buildout Strengthen the firm's owned content so AI systems can retrieve clear, structured answers about practice areas, geographic coverage, and case experience.

Phase 4: Citation / Authority Layer Development Build the public evidence layer that AI systems cite when recommending personal injury lawyers, including directory presence, review platforms, and third-party validation sources.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track recommendation coverage, top-three rate, rank-one rate, and sentiment across all platforms to measure progress and identify emerging displacement patterns.

Why This Matters

AI presence alone is not enough. Lerner & Rowe appears in AI answers with perfect sentiment and efficient conversion from mention to recommendation, yet the firm holds only 5.31% recommendation coverage because it appears in so few answers overall. The constraint is volume, not quality.

The next move is targeted expansion of the prompt, page, and citation layers that determine whether AI systems surface Lerner & Rowe when buyers ask for personal injury lawyer recommendations. Competitors like Wilshire Law Firm have demonstrated that significant coverage gains are achievable within a single benchmark series. The firms that act on prompt-level and platform-level gaps will capture recommendation share as AI-led discovery continues to grow.

Core Metrics

Sentiment Score

Questions This Section Answers

• How is Lerner & Rowe's sentiment score calculated, and what explains its perfect 1.0000 result?
• Why is sentiment alone insufficient to measure AI visibility, even with a perfect score?

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

Lerner & Rowe's sentiment score is (12 × 1 + 0 × 0 + 0 × -1) / 12 = 1.0000.

This score matters because unclassified mention counts are misleading. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Lerner & Rowe's perfect sentiment score indicates that AI systems consistently frame the firm positively when they discuss it. However, sentiment alone does not capture recommendation frequency or placement. A firm with perfect sentiment but low coverage still faces a visibility gap.

Classified sentiment is required before interpreting AI visibility. Share of voice is a diagnostic metric, not a business KPI. The sentiment score tells you how AI systems talk about a brand. The recommendation coverage and placement metrics tell you how often and how prominently they recommend it. Both matter.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of AI recommendation visibility for Lerner & Rowe in the personal injury lawyer category. It is not a client result and does not imply that any action by CiteWorks Studio caused the observed outcomes.
2. The reporting month is October 2026. The benchmark series covers July 2026 through October 2026.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity. All six platform families captured qualified observations in October 2026.
4. The October 2026 benchmark began with 663 prompt-surface observations and produced 226 qualified observations after qualification. The July 2026 baseline began with 521 observations and produced 193 qualified observations.
5. The competitor universe includes ten tracked brands: Morgan & Morgan, Wilshire Law Firm, Jacoby & Meyers, The Barnes Firm, Lerner & Rowe, Dolman Law Group, Sokolove Law, Pintas & Mullins, Goldwater Law Firm, and Zinda Law Group.
6. All qualified observations in the October 2026 series fell into the Brand Recommendation cluster, which captures prompts seeking a direct recommendation for a personal injury lawyer. The benchmark does not yet contain qualified observations in the pricing and value or multi-brand comparison clusters.
7. Stage 0 extraction retains 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 and is not automatically proof that the source caused the recommendation.
8. A mention is defined as any appearance of the brand in an AI answer, whether recommended, listed, or mentioned neutrally. Raw mention presence rate is the share of qualified observations where the brand appears in any form.
9. A valid recommendation is defined as an appearance in a genuine recommendation context rather than a general mention. Valid recommendation coverage is the share of qualified observations where the brand appears in a recommendation context.
10. Top-three rate is the share of qualified observations where the brand appears among the first three recommended options. Rank-one rate is the share of qualified observations where the brand is the first and primary recommendation.
11. Average recommended rank covers rank-eligible recommendations only. A company with no rank-eligible recommendations receives N/A for this metric.
12. The October 2026 qualified set is smaller than September's 274 observations, so month-to-month comparisons should be read with that difference in mind. Small-count movements for brands at or below 5.31% coverage require confirmation across subsequent cycles.

See How AI Is Recommending Your Brand

The public benchmark shows where Lerner & Rowe stands in AI-generated recommendations for personal injury lawyers. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and citation sources that shape those recommendations into a prioritized strategy. Find out where your firm appears in AI shortlists and where competitors are being recommended instead.