How AI Search Is Recommending Immigration Law Firms: Monthly Trends

Executive Summary

Wildes & Weinberg continues to hold the clear lead in AI-driven immigration law recommendations, with its coverage rising from 87.1% in July 2026 to 90.9% in August 2026, a gain of 3.8 points. The gap between the leader and the next most-recommended brand, Cyrus D. Mehta & Partners at 5.5%, stands at 85.4 points, underscoring an entrenched concentration of AI recommendation credit in a single firm.

Cyrus D. Mehta & Partners was the strongest upward mover this month, with recommendation coverage climbing from 2.9% to 5.5% (up 2.6 points). The firm also improved its presence in top-three placements, which rose from 1.4% to 5.5%, and its rank-one rate moved from 1.4% to 3.6%. These gains mark the firm as the most notable riser in a quiet month for the category.

The sharpest decline was shared by Bretz & Coven and Transparent Justice Law Firm, both of which fell from 1.4% recommendation coverage to 0.0%, representing one fewer valid recommendation each within a smaller qualified set. Barst & Mukamal also slipped from 4.3% to 1.8% coverage, while Spar & Bernstein eased from 2.9% to 1.8%.

The category was stable in August 2026, with no brand's coverage breaking from the pattern established since July. Within that stability, Wildes & Weinberg's rank-one recommendation rate moved from 38.6% to 70.9% — the largest single shift recorded in the series so far — even as the firm's overall standing is classified as stable this month.

Each monthly run begins with 238 prompt-surface observations (227 unique questions) in July 2026 and 236 prompt-surface observations (227 unique questions) in August 2026 across the benchmark's defined AI/search surface universe. Of those, 106 mentioned a tracked brand or competitor in July and 82 in August; 80 were relevant and 26 were irrelevant in July, while 64 were relevant and 18 were irrelevant in August. The public metrics use the 70 qualified observations in July and the 55 qualified observations in August that survive both qualification stages.

Key Findings

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.

August 2026 added a third qualified AI surface family to the benchmark. While July 2026 measured only Google AI Mode and Google AI Overviews, August 2026 also captured Gemini as a distinct surface, broadening the observation base even as the total qualified count was smaller.

Benchmark-Level Metrics

The smaller August observation set (55 versus 70) means individual placements carry more weight in percentage terms. The recommendation-shaped answer share declined from 70.0% to 56.4% even though the valid recommendation shortlist share held steady near 94%, indicating a shift in how answers were structured rather than a change in data quality.

AI Recommendation Trend

Recommendation Coverage by Brand

August 2026 was a quiet month for the category: no brand's coverage moved outside the range established since July. Cyrus D. Mehta & Partners posted the largest gain in coverage, while Bretz & Coven and Transparent Justice Law Firm posted the largest declines. Wildes & Weinberg's rank-one recommendation rate, which moved from 38.6% to 70.9%, was the most pronounced shift recorded on any metric this month, even as its overall coverage classification remained stable.

What Changed This Month

Wildes & Weinberg: First-Position Placement Moves Higher

Wildes & Weinberg's recommendation coverage widened from 87.1% in July 2026 to 90.9% in August 2026, a gain of 3.8 points on the primary metric. The firm's raw mention presence also rose from 88.6% to 92.7%, meaning it was surfaced in some form in nearly every qualified observation.

The more consequential movement was in placement quality. The firm's top-three rate climbed from 72.9% to 83.6%, and its rank-one rate moved from 38.6% to 70.9%. That 32.3-point rise in first-position recommendations was the largest movement recorded in the monthly series to date.

The distinction the reader should notice is between presence and placement. Wildes & Weinberg was already visible in nearly every qualified observation; what the current data shows is a shift toward first-position placement rather than simply appearing within the recommendation set. The practical effect is that the firm now occupies the default answer position in a large majority of qualified queries.

Highest-priority diagnostic: Which specific prompt types are driving the move from top-three to rank-one placement, and whether that first-position share is consistent across all six AI surface families or concentrated in one or two.

Cyrus D. Mehta & Partners: The Month's Strongest Riser

Cyrus D. Mehta & Partners lifted its recommendation coverage from 2.9% in July 2026 to 5.5% in August 2026, representing an increase from 2 valid recommendations to 3 within a smaller qualified set. Its raw mention presence rose in parallel from 2.9% to 5.5%.

The firm also improved its placement profile. Top-three recommendations rose from 1.4% to 5.5%, and rank-one placement moved from 1.4% to 3.6%. Both movements were positive but modest given the small counts involved.

This is a small-count case where percentages can overstate the underlying movement. A single additional valid recommendation in August 2026 (3 versus 2) accounts for the entire coverage gain. The movement is a signal worth investigating, not yet evidence of a durable shift in how AI systems rank the firm.

Highest-priority diagnostic: Whether the three August 2026 recommendations cluster around a particular practice area, geographic market, or question type that could indicate a specific strength rather than broad-based improvement.

Barst & Mukamal, Spar & Bernstein: Late-Stage Fades

Barst & Mukamal's recommendation coverage fell from 4.3% in July 2026 to 1.8% in August 2026, a drop of 2.5 points representing a decline from 3 valid recommendations to 1. Its raw mention presence also fell from 5.7% to 1.8%. Spar & Bernstein eased from 2.9% to 1.8% coverage, slipping from 2 valid recommendations to 1, even though its raw mention presence held nearly steady at 5.5% versus 5.7%.

Spar & Bernstein's pattern is the more nuanced one. The firm remained visible in the prompt stream at roughly the same level as July, but fewer of those mentions translated into valid recommendations. That divergence between presence and recommendation is the notable distinction: the firm is being surfaced, but less often in a form that AI systems convert into an actual recommendation.

Highest-priority diagnostic: For Barst & Mukamal, which 2 of the 3 July recommendations disappeared in August and on which surfaces. For Spar & Bernstein, which prompts produce a mention without a recommendation, and what differentiates those from prompts where the firm is recommended.

Bretz & Coven: Absent From the Qualified Set

Bretz & Coven fell to 0.0% recommendation coverage in August 2026, down from 1.4% in July 2026, a decline from 1 valid recommendation to 0 within the qualified observation set. Raw mention presence also fell to 0.0% from 1.4%, meaning the firm was not surfaced anywhere in the 55 qualified observations. Given the small scale, one recommendation disappearing from a 55-observation set is not on its own a collapse in brand equity; it may reflect which prompts were collected in August.

Highest-priority diagnostic: Whether Bretz & Coven's absence is a function of the August prompt mix or reflects a genuine decline in how AI systems surface the firm.

Transparent Justice Law Firm: Zero Coverage While the Category Leader Pulls Further Ahead

Transparent Justice Law Firm's recommendation coverage fell from 1.4% in July 2026 to 0.0% in August 2026, a decline from 1 valid recommendation to 0 within the qualified observation set. Raw mention presence also fell to 0.0% from 1.4%, meaning the firm was not surfaced anywhere — not mentioned, not recommended — in any of the 55 qualified observations in August. Transparent Justice Law Firm now sits at the bottom of the six-firm ranking, tied only with Bretz & Coven, and behind every other tracked brand on the category's primary recommendation metric.

Wildes & Weinberg records 90.9% recommendation coverage in August 2026, while Transparent Justice Law Firm stands at 0.0%. Even Cyrus D. Mehta & Partners, the smallest firm to register a gain this month, reached 5.5% coverage on just 3 valid recommendations — a level Transparent Justice Law Firm has not reached in either month measured. This is a material gap on the report's primary commercial metric, not a marginal one: Transparent Justice Law Firm is the only tracked firm, alongside Bretz & Coven, with zero valid recommendations and zero raw mentions in the current qualified set. The report's own interpretation notes that a single month at zero may reflect prompt-mix noise, but a second consecutive month at zero would move this from noise to a pattern worth treating as a competitive risk. Transparent Justice Law Firm cannot yet distinguish between those two explanations from the public benchmark alone, and that unresolved question is the immediate priority.

Highest-priority diagnostic: Whether Transparent Justice Law Firm's absence from the August 2026 qualified set reflects the prompt mix collected that month or a genuine decline in how AI systems surface the firm, and whether the specific prompt that generated its one July 2026 recommendation was repeated in August with a different outcome.

Buyer-Intent Interpretation

All 55 qualified observations in August 2026 fell into the Brand Recommendation cluster, as did all 70 in July 2026. The Pricing & Value and Multi-Brand Comparison clusters registered zero observations in both months. This means the public benchmark currently measures which firm AI systems recommend in response to direct recommendation queries, but it cannot yet answer how AI systems position firms on cost, fee structure, or head-to-head comparison. Those commercial questions remain outside the scope of this public dataset until the benchmark captures prompts that invite such answers.

Brand Opportunity Summary

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.

• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• Small-count movement: With 55 qualified observations in August 2026, a single valid recommendation equals approximately 1.8 percentage points of coverage. Several brand-level movements described in this report reflect changes of one recommendation and should be interpreted with that scale in mind.
• Qualified denominator vs raw collection: All brand-level percentages use the qualified observation set (55 in August, 70 in July) as the denominator, not the larger raw prompt collection (236 and 238 respectively). This is intentional: it isolates recommendation behavior from collection volume.
• Directional analysis: Month-over-month movement identifies changes worth investigating. It does not, by itself, establish the cause of those changes. This is particularly true where a single recommendation difference drives the movement.

Next Step

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

The aggregate percentages in this report answer the question of which firms AI systems recommend and how often. Beneath those numbers sit more specific questions: which high-intent prompts a brand wins, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each option, and which external sources shape those answers. None of those questions can be answered from the public benchmark alone.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It turns the benchmark's directional signals into a concrete action plan for closing the gap to the category leader or defending an existing position.

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