Birth Injury Lawyers: AI Market Discovery Index

Benchmark Summary

Levin & Perconti led the Birth Injury Lawyers benchmark in August 2026 with valid recommendation coverage of 20.2%, down from 22.8% in July 2026. The gap to the next brand, ABC Law Centers (Reiter & Walsh), narrowed to 2.5 percentage points, as ABC Law Centers (Reiter & Walsh) moved to 17.7% in August 2026 from 23.7% in July 2026.

This was a quiet month for the category, with no movements beyond normal month-to-month variation. The largest coverage increase was Pegalis Law Group, which rose to 3.2% in August 2026 from 0.9% in July 2026. The largest coverage decline was ABC Law Centers (Reiter & Walsh), which fell to 17.7% from 23.7%, a 6.0-point drop.

The benchmark began with 410 prompt-surface observations in August 2026 and produced 124 qualified observations after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts the number of canonical AI surface families with at least one qualified observation. The six families are 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 Birth Injury Lawyers

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design. The funnel below shows how observations qualified in each month.

Brand-level percentages use the qualified observations as the public denominator, not the raw collection. See the AI Market Discovery Methodology for details.

Current Brand Standings

This table is the primary current-month benchmark view, sorted by valid recommendation coverage.

How to Read the Standings

• Presence rate is the share of qualified observations where the brand appears in any form, whether recommended, mentioned, or referenced.
• Valid recommendation coverage is the share of qualified observations where the brand receives a valid recommendation that meets the benchmark's criteria.
• 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 or only recommendation.
• Net sentiment is the balance of positive over negative mentions, scaled from 0 to 1.

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

Recommendation Coverage Movement

Largest Increase: Pegalis Law Group

Pegalis Law Group rose to 3.2% in August 2026 from 0.9% in July 2026, an increase of 2.3 percentage points. This moved the firm from 1 valid recommendation to 4, while raw presence rose to 3.2% from 0.9%. The move is within normal month-to-month variation for this category.

Largest Decline: ABC Law Centers (Reiter & Walsh)

ABC Law Centers (Reiter & Walsh) fell to 17.7% in August 2026 from 23.7% in July 2026, a decline of 6.0 percentage points. The firm remained the second-highest brand by coverage despite the drop. Raw presence also eased to 24.2% from 30.7%, while rank-one rate improved slightly to 11.3% from 10.5%. The move is within normal month-to-month variation.

Category Leader: Levin & Perconti

Levin & Perconti held the category lead in August 2026 with valid recommendation coverage of 20.2%, down from 22.8% in July 2026. The firm led despite a smaller share of first-position placements, with its top-three rate easing to 11.3% from 17.5% and rank-one rate to 4.0% from 5.3%.

The month was otherwise quiet. Sokolove Law edged up to 8.1% from 7.9%, while most other brands moved within normal variation.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. Placement within the answer matters. The table below shows top-three and rank-one rates for the leading brands.

ABC Law Centers (Reiter & Walsh) and Levin & Perconti show how close coverage can hide different first-position rates. ABC Law Centers (Reiter & Walsh) placed first in 11.3% of observations, while Levin & Perconti placed first in 4.0%, despite similar overall coverage levels.

Buyer-Intent Distribution

The qualified observations in both months fell into the Brand Recommendation class, which captures discovery and consideration queries.

The current public series measures this class of discovery and does not yet contain qualified observations in the pricing and 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, attributable sales, every possible AI response, organic-search ranking, social mention volume, or private or sponsored channels. A metric movement alone does not establish causality.

About This Benchmark

The LLM Authority Index AI Market Discovery Index tracks how AI assistants discover and recommend brands across six major AI surfaces. It measures presence, recommendation coverage, placement, and sentiment in response to real user queries.

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

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