Bankruptcy Lawyers: AI Market Discovery Index

Benchmark Summary

Upsolve led the Bankruptcy Lawyers benchmark with a valid recommendation coverage of 52.0% in August 2026, down from 57.5% in July 2026. The next closest brand, John T. Orcutt, held valid recommendation coverage of 2.7% in August 2026, leaving a 49.3-point gap between the leader and the next brand.

The month was quiet overall, with no tracked brand moving beyond normal month-to-month variation. The largest coverage increase was Cibik Law, rising to 1.4% in August 2026 from 0.0% in July 2026. The largest coverage decline was Upsolve, falling to 52.0% in August 2026 from 57.5% in July 2026. While the overall coverage movement for the category leader was within normal variation, Upsolve's recommended top-three rate fell to 6.2% from 19.1%, and its rank-one rate fell to 6.2% from 17.7%.

The benchmark began with 301 prompt-surface observations in July 2026 and 385 in August 2026, producing 141 and 146 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: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six families were represented in both July 2026 and August 2026.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Bankruptcy 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.

For formulas and denominator rules, see AI Market Discovery Methodology.

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 is mentioned at all.
• Valid recommendation coverage is the share of qualified observations where the brand receives a valid recommendation.
• Top-three rate is the share of qualified observations where the brand appears in a top-three recommendation.
• Rank-one rate is the share of qualified observations where the brand is the first-ranked recommendation.
• Net sentiment is the balance of positive over negative mentions, from -1.0 to +1.0.

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

Recommendation Coverage Movement

All changes in this table fall within normal month-to-month variation. Available observations are small for most brands; for example, Cibik Law's gain reflects 2 valid recommendations out of 146 observations, while The Semrad Law Firm's decline reflects 1 observation in July 2026 and 0 in August 2026.

The month was quiet: no brand met the threshold for a significant riser or decliner on the primary metric. Upsolve's top-three and rank-one rates declined more sharply than its overall valid recommendation coverage.

Category Leader: Upsolve

Upsolve remained the category leader at 52.0% valid recommendation coverage in August 2026, down from 57.5% in July 2026. The decline was within normal month-to-month variation. Presence held effectively steady at 89.7% in August 2026 versus 89.4% in July 2026. Placement metrics moved lower: the top-three rate fell to 6.2% from 19.1% and the rank-one rate fell to 6.2% from 17.7%.

Recommendation Placement Snapshot

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

Upsolve's rank-one rate matched its top-three rate in August 2026 at 6.2%, meaning every top-three placement for the brand was also a first-position placement. Sasser Law Firm also converted all of its top-three placements to first position in August 2026, while John T. Orcutt did not capture a single first-position placement in either month.

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 commercial performance
• Attributable sales or client conversions
• Every possible AI response, including private or personalized outputs
• Organic-search rankings on traditional engines
• Social media mention volume
• Private or sponsored channels
• Causality from a metric movement alone

About This Benchmark

The LLM Authority Index AI Market Discovery Index is a neutral industry benchmark tracking how often and how prominently brands appear in AI-generated answers and recommendations across six canonical AI surface families. It is updated monthly as an evergreen report.

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

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