CiteWorks Studio

How AI Search Is Recommending Criminal Defense Lawyers: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Spodek Law Group led September 2026 with 21.4% valid recommendation coverage, holding a 7.0-point lead over Kraut Law Group.
  • Spodek Law Group also posted the highest rank-one placement rate in the series at 12.7%, despite overall coverage remaining below its July peak.
  • Monder Criminal Lawyer Group was the main riser from the July baseline, moving from 0.0% to 2.3% coverage, while The Rodriguez Law Group fell from 14.7% to 6.9%.
  • No brand showed significant month-over-month movement from August to September, and September was the first month with qualified observations across all six AI surface families.

Executive Summary

Spodek Law Group remains the category leader in September 2026, with valid recommendation coverage of 21.4%, up 0.4 points from 21.0% in August. The firm continues to hold a 7.0-point lead over second-place Kraut Law Group (21.4% vs 14.4%). Its rank-one placement rate reached 12.7% in September, its highest level in the series, up from 11.8% in July.

The strongest mover this month was Monder Criminal Lawyer Group, which held its August gain at 2.3% coverage in September after rising from zero in July. That baseline-to-current movement (0.0% to 2.3%) registered as significant within the series. The sharpest baseline-to-current decliner was The Rodriguez Law Group, which fell 7.8 points from 14.7% in July to 6.9% in September, a significant decline in the series, though it was stable between August and September.

No brand registered significant month-over-month movement between August and September 2026. The category summary for September is mixed: one significant riser and one significant decliner measured from the July baseline, with all other brands stable month over month. This is the first month in the series where all six canonical AI surface families produced qualified observations.

This report tracks 340 prompt-surface observations (321 unique questions) collected in September 2026 across the benchmark's defined AI/search surface universe. Of those, 340 mentioned a tracked brand or competitor; 212 were relevant to the vertical and 128 were irrelevant. The public benchmark metrics are calculated from the 173 observations that survived both qualification stages. The July 2026 comparison period began with 232 prompt-surface observations (228 unique questions), of which 232 mentioned a tracked brand, 199 were relevant, and 33 were irrelevant, yielding 136 qualified observations. The August 2026 period began with 308 prompt-surface observations (293 unique questions), which yielded 176 qualified observations.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Sep 2026

0%10%20%30%40%Jul 2026Aug 2026Sep 2026
  • Spodek Law Group21.4%
  • Kraut Law Group14.4%
  • The Rodriguez Law Group6.9%
  • The Cochran Firm5.8%
  • Wallin & Klarich4.6%
  • Goldstein Mehta2.9%
  • Monder Criminal Lawyer Group2.3%
  • Chambers Law Firm1.2%
  • Esfandi Law Group1.2%
  • Greg Hill & Associates0.6%

Key Findings

Signal

September 2026 finding

Category leader

Spodek Law Group at 21.4% valid recommendation coverage, up 0.4 points from August

Leader gap

Spodek Law Group leads Kraut Law Group by 7.0 points (21.4% vs 14.4%)

Significant riser

Monder Criminal Lawyer Group, from 0.0% in July to 2.3% coverage in September (4 observations)

Significant decliner

The Rodriguez Law Group, down 7.8 points from 14.7% in July to 6.9% in September (12 observations)

Highest rank-one rate

Spodek Law Group at 12.7% (22 of 173 observations), its best in the series

Surface breadth

6 canonical AI surface families with qualified observations, up from 4 in July

Benchmark Context

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

Sep 2026

What it represents

Source prompt-surface observations collected

232

340

Total prompts surfaced across the benchmark's defined AI/search universe

Unique questions

228

321

Distinct questions posed across surfaces

Brand / competitor mentions

232

340

Prompts mentioning a tracked brand or competitor

Relevant prompts

199

212

Prompts deemed relevant to the vertical

Irrelevant prompts

33

128

Prompts deemed irrelevant to the vertical

Qualified benchmark observations

136

173

Public denominator for all brand-level metrics

Qualified surface breadth

4

6

Canonical AI surface families with at least one qualified observation

The following category-wide metrics summarize how the qualified benchmark performed as a whole across the three measured months. August 2026, with 176 qualified observations, was the largest month in the series.

Benchmark-Level Metrics

Metric

Jul 2026

Sep 2026

Change

Qualified observations

136

173

Up 37

Companies tracked

10

10

Flat

Recommendation-shaped answer share

44.9%

32.4%

Down 12.5 points

Valid recommendation shortlist share

50.7%

50.9%

Up 0.1 points

Category leader by coverage

Spodek Law Group

Spodek Law Group

Stable leadership

The raw collection universe expanded again in September 2026 (340 prompts vs 232 in July), while the qualified set moved from 136 to 173 observations. The recommendation-shaped answer share drifted lower, but the valid recommendation shortlist share held essentially flat, which suggests the qualified set maintained its recommendation character even as the overall prompt mix broadened.

AI Recommendation Trend

Spodek Law Group extends its leadership across a stable month

Brand

Jul 2026

Sep 2026

Movement

Sep 2026 rank

Spodek Law Group

27.9%

21.4%

Down 6.5 points

1st

Kraut Law Group

19.9%

14.4%

Down 5.5 points

2nd

Goldstein Mehta

1.5%

2.9%

Up 1.4 points

3rd

Monder Criminal Lawyer Group

0.0%

2.3%

Up 2.3 points

4th

The Rodriguez Law Group

14.7%

6.9%

Down 7.8 points

5th

The Cochran Firm

8.8%

5.8%

Down 3.0 points

6th

Wallin & Klarich

4.4%

4.6%

Up 0.2 points

7th

Chambers Law Firm

0.0%

1.2%

Up 1.2 points

8th

Esfandi Law Group

2.2%

1.2%

Down 1.0 point

8th

Greg Hill & Associates

0.7%

0.6%

Down 0.1 points

10th

Between July and September 2026, two brands moved enough to register as significant within the series: Monder Criminal Lawyer Group rose from no coverage to 2.3%, and The Rodriguez Law Group fell from 14.7% to 6.9%. Neither registered significant month-over-month movement between August and September. The leader's own 6.5-point baseline difference fell within normal variation, as did the declines for Kraut Law Group, The Cochran Firm, and Spodek Law Group. Several smaller upward movements combined to reshape the middle of the ranking, with Goldstein Mehta and Monder Criminal Lawyer Group both moving ahead of The Rodriguez Law Group in the current-month ordering.

What Changed This Month

Spodek Law Group

Spodek Law Group remains the category leader in September 2026, with valid recommendation coverage of 21.4%, compared with 27.9% in July and 21.0% in August. The 6.5-point baseline-to-current difference falls within normal month-to-month variation for the brand. The firm leads second-place Kraut Law Group by 7.0 points.

Raw mention presence moved from 29.4% in July to 28.3% in September, and top-three placement moved from 24.3% to 17.9%. Rank-one placement reached 12.7% (22 of 173 observations), the highest level in the series, up from 11.8% in July. The firm remains the most-recommended in the category, with its rank-one standing improving even as its overall coverage sits below the July peak.

Highest-priority diagnostic: Which prompts account for the stable coverage level, and is the rise in rank-one placements concentrated in particular AI search surfaces?

Monder Criminal Lawyer Group

Monder Criminal Lawyer Group posted the category's only significant rise when measured from baseline to current, moving from no qualified recommendations in July to 2.3% coverage in September (4 of 173 observations). The firm held at 2.3% in September, matching its August level.

Raw mention presence moved from 0.0% in July to 2.3% in September, and top-three placement reached 1.2% (2 observations). Net sentiment among its mentions was 1.0, meaning every mention was positive. These are small counts in absolute terms, but they mark a new presence in AI recommendations for a firm that had no qualified presence at all in July.

Highest-priority diagnostic: Which prompts or surfaces produced the firm's first qualified recommendations, and is that pattern extending beyond a narrow set of queries?

The Rodriguez Law Group

The Rodriguez Law Group was the category's most notable decliner across the series. Its valid recommendation coverage fell 7.8 points, from 14.7% in July to 6.9% in September, a movement large enough to register as significant. The firm was stable between August and September, holding near 6.8% in August.

Top-three placement moved from 11.8% (16 observations) in July to 6.4% (11 observations) in September, and rank-one placements moved from 10 observations to 4. Raw mention presence moved from 14.7% to 8.1%. The firm's valid recommendation count moved from 20 in July to 12 in September. While it held fifth place in the current-month ranking, it now trails the leader by 14.5 points, compared with a 13.2-point gap in July.

Highest-priority diagnostic: Are The Rodriguez Law Group's lost rank-one and top-three placements now going to a specific competitor, or being replaced by non-recommendation answer formats?

Goldstein Mehta

Goldstein Mehta posted the largest upward movement among stable brands, with valid recommendation coverage moving from 1.5% in July to 2.9% in September. The firm now ranks third in the current month, its highest position in the series.

Top-three placement followed the same path, from 1.5% to 2.9% (5 observations). Rank-one placement moved from 1.5% in July to 1.2% in September, essentially flat. Net sentiment held positive at 0.8. These are small counts, but the movement puts the firm ahead of several brands with larger presence profiles.

Highest-priority diagnostic: Which query types are driving Goldstein Mehta's rise, and do those prompts represent durable demand or a narrow set of queries?

Chambers Law Firm and Esfandi Law Group

Chambers Law Firm moved from no valid recommendations in July to 1.2% coverage in September (2 of 173 observations), its first qualified recommendations in the series. Esfandi Law Group moved in the opposite direction across the baseline, from 2.2% in July to 1.2% in September, though it returned from zero in August to 1.2% in September.

Chambers Law Firm's raw mention presence moved from 1.5% in July to 2.3% in September, with top-three placement remaining at zero. Esfandi Law Group's raw presence held near 2.3%, with top-three placement at 0.6% (1 observation). Both firms operated on small absolute counts throughout the series.

Highest-priority diagnostic: Which prompts first produced qualified recommendations for Chambers Law Firm, and what separates Esfandi Law Group's September mentions from its zero-recommendation August?

Buyer-Intent Interpretation

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Prompts asking which firm to choose or to recommend

Which firms does AI name when a buyer asks for a direct recommendation?

Pricing & Value

Prompts exploring cost, fees, or value trade-offs

What does AI say about how firms compare on cost and value?

Multi-Brand Comparison

Prompts explicitly comparing two or more firms head-to-head

How does AI frame competitive trade-offs between tracked firms?

All 173 qualified observations in September 2026 fell into the discovery and consideration stage. There were no qualified observations in the pricing and value or multi-brand comparison stages. The same concentration held in both prior months of the series. The public benchmark therefore describes how AI surfaces firms when a buyer is exploring options, but it cannot yet speak to how AI positions firms on price, value, or direct head-to-head comparison.

The raw distribution in September did include pricing analysis (11 observations) and comparison analysis (4 observations) response types, as it did in August. These queries exist in the collection universe but did not survive qualification into the public benchmark set. The buyer questions most likely to occur later in the decision journey are the ones the public benchmark cannot yet answer.

Brand Opportunity Summary

Brand

Sep 2026 coverage

Current signal

Highest-priority diagnostic

Spodek Law Group

21.4% (37 of 173)

Leader; rank-one rate at series high of 12.7%

Which surfaces drive the improved rank-one placement?

Kraut Law Group

14.4% (25 of 173)

Rank-one placements at 5 in September, up from 1 in July

Which prompts restored rank-one presence?

Goldstein Mehta

2.9% (5 of 173)

Third in current-month ranking; up 1.4 points from July

Which query types drive the improvement?

Monder Criminal Lawyer Group

2.3% (4 of 173)

Significant riser from July baseline; net sentiment 1.0

Which prompts or surfaces produced first recommendations?

The Rodriguez Law Group

6.9% (12 of 173)

Significant decliner from July baseline; stable month over month

Is a specific competitor taking the lost placements?

The Cochran Firm

5.8% (10 of 173)

Coverage stable; rank-one placements down to 0 in September from 5 in July

What separates prompts that surface versus recommend the firm?

Wallin & Klarich

4.6% (8 of 173)

Coverage highest of the series; raw presence down

Where did raw mentions go without a drop in recommendations?

Chambers Law Firm

1.2% (2 of 173)

First qualified recommendations in the series

Which prompts produced the first recommendations?

Esfandi Law Group

1.2% (2 of 173)

Recovered from zero in August

What separates September mentions from August's absence?

Greg Hill & Associates

0.6% (1 of 173)

Presence down to 6.4% from 10.3% in July

Why does presence decline without a coverage change?

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 LLM Authority Index AI Market Discovery research program.

Report-Specific Interpretation Notes

  • Small-count movement: several brand-level findings rest on small absolute counts (Goldstein Mehta at 5 observations, Monder Criminal Lawyer Group and Chambers Law Firm at 4, Esfandi Law Group at 4, Greg Hill & Associates at 11 mentions). Percentages over such bases should be read cautiously.
  • Qualified denominator: all percentages are calculated within the 173 qualified observations, not the 340 raw prompts collected.
  • Series-level significance: Monder Criminal Lawyer Group's rise and The Rodriguez Law Group's decline registered as significant from the July baseline. No brand registered significant month-over-month movement in September. Directional analysis identifies movement worth investigating; it does not establish cause.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath Spodek Law Group's 21.4% coverage figure sit questions the aggregate cannot answer: which high-intent prompts does the firm win, and which does it lose? When Kraut Law Group is not recommended, which competitor takes its place? What attributes do AI systems associate with each firm, and which external sources are shaping those answers?

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. Where the benchmark identifies a difference in output, the audit identifies the mechanism behind it.

Request an AI visibility audit

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What Is AI Citation Intelligence?
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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.
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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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