Workers Compensation Lawyers: AI Market Discovery Index

Benchmark Summary

Morgan & Morgan led the Workers Compensation Lawyers benchmark in August 2026 with valid recommendation coverage of 40.3%, up from 26.2% in July 2026. The gap to the next brand widened to 23.1 percentage points over second-place Pond Lehocky, which fell to 17.2% in August 2026 from 20.6% in July 2026.

The largest coverage increase came from Morgan & Morgan, which rose from 26.2% in July 2026 to 40.3% in August 2026, a move beyond normal month-to-month variation. The largest coverage decline was Hensley Legal Group, which fell from 8.7% in July 2026 to 4.3% in August 2026, though this remained within normal variation.

The benchmark began with 458 prompt-surface observations in July 2026 and 571 in August 2026, producing 126 and 186 qualified observations respectively after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts the canonical AI surface families with at least one qualified observation. The six families are ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. Both months registered qualified observations across all six.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Workers Compensation 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. See the AI Market Discovery Methodology for full details.

Current Brand Standings

How to Read the Standings

• Presence rate: share of qualified observations where the brand appears in the AI response, regardless of recommendation status.
• Valid recommendation coverage: share of qualified observations where the brand is recommended with a valid, attributable recommendation.
• Top-three rate: share of qualified observations where the brand appears among the top three recommended options.
• Rank-one rate: share of qualified observations where the brand is the first or primary recommendation.
• Net sentiment: positive minus negative mention tone, scaled to a 0 to 1 range where 1 is entirely positive.

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

Recommendation Coverage Movement

Largest Increase: Morgan & Morgan

Morgan & Morgan moved beyond normal variation, rising from 26.2% in July 2026 to 40.3% in August 2026, an increase of 14.1 percentage points. The brand's top-three rate rose from 16.7% to 24.2% and its rank-one rate rose from 8.7% to 12.4% over the same period. Presence remained broadly stable at 76.3% in August 2026 versus 75.4% in July 2026, meaning the higher coverage came from a larger share of its existing presence converting to valid recommendations.

Category Leader: Morgan & Morgan

Morgan & Morgan led the category with 40.3% valid recommendation coverage in August 2026. The lead over second-place Pond Lehocky widened from 5.6 percentage points in July 2026 to 23.1 percentage points in August 2026.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. The leading brands show different patterns between top-three placement and first-position placement.

Close coverage can still hide different first-position rates. Krasno Krasno & Onwudinjo held 15.6% coverage in August 2026 but only 1.1% rank-one placement, while Pond Lehocky converted 9.1% of its 17.2% coverage into first position.

Buyer-Intent Distribution

All qualified observations in both months fell into the Brand Recommendation class.

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

Historical Measurement Record

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

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 or revenue attribution
• Attributable sales or client conversions
• Every possible AI response to a given query
• Organic-search ranking positions
• Social media mention volume
• Private or sponsored channels and gated content
• Causality from a metric movement alone

About This Benchmark

The LLM Authority Index AI Market Discovery Index tracks how often brands appear and are recommended across major AI and search surfaces. It is a neutral, observational industry benchmark built from structured prompt-level research. Canonical research links:

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

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