How AI Search Is Recommending Immigration Law Firms: Monthly Trends

Executive Summary

Wildes & Weinberg continues to hold the category lead with 86.0% recommendation coverage in September 2026, down 1.1 points from 87.1% in July 2026. The gap to the next most-recommended brand, Cyrus D. Mehta & Partners at 14.0%, stands at 72.0 points — an entrenched concentration that eased modestly as the challenger gained ground.

Cyrus D. Mehta & Partners was the strongest upward mover, with coverage rising from 2.9% in July 2026 to 14.0% in September 2026, up 11.1 points — the category's only movement large enough to be classified as a significant riser. The gain came on an increase from 2 valid recommendations to 7 within the qualified set.

The sharpest decline came from Wildes & Weinberg on placement quality rather than presence. The leader's top-three rate fell from 72.9% in July 2026 to 46.0% in September 2026, down 26.9 points, even as overall coverage remained stable. Barst & Mukamal and Spar & Bernstein both faded to 0.0% coverage, each holding a two-month downward streak.

Against the prior month, Wildes & Weinberg dipped from 90.9% in August 2026 to 86.0% in September 2026, down 4.9 points, while Cyrus D. Mehta & Partners added 8.5 points from 5.5%. The category-level pattern combines a leader holding a high share with a challenger adding ground for a second consecutive month.

Each monthly run begins with 238 prompt-surface observations (227 unique questions) in July 2026, 236 (227 unique questions) in August 2026, and 63 (59 unique questions) in September 2026 across the benchmark's defined AI/search surface universe. Of those, 106 mentioned a tracked brand or competitor in July, 82 in August, and 63 in September; 80 were relevant and 26 irrelevant in July, 64 relevant and 18 irrelevant in August, and 54 relevant and 9 irrelevant in September. The public metrics use the 70 qualified observations in July, 55 in August, and 50 in September 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.

The qualified surface breadth widened substantially across the series. July 2026 captured only Google AI Mode and Google AI Overviews; by September 2026 the benchmark measured five canonical families, adding Gemini, ChatGPT, and Copilot. The September collection was smaller in total prompts, yet drew from a broader surface universe.

Benchmark-Level Metrics

The August 2026 reading of 55 qualified observations sat between the July and September counts. The recommendation-shaped answer share declined from 70.0% in July 2026 to 46.0% in September 2026, even as the valid recommendation shortlist share held above 88.0%. The smaller September set means individual placements carry more weight in percentage terms.

AI Recommendation Trend

A Category Leader Eases While One Challenger Gains Meaningful Ground

Wildes & Weinberg retains the leadership position at 86.0% coverage, while Cyrus D. Mehta & Partners reached 14.0%, narrowing the gap between the top two brands to 72.0 points. The leader's top-three placement rate fell from 72.9% to 46.0% over the same period, a large point change within the current benchmark.

Cyrus D. Mehta & Partners was the only brand whose movement exceeded the normal range of variation, classified as a significant riser. The remaining shifts in the category resulted from the combination of smaller movements across several brands.

What Changed This Month

Cyrus D. Mehta & Partners: The Category's Standout Riser

Cyrus D. Mehta & Partners lifted its recommendation coverage from 2.9% in July 2026 to 14.0% in September 2026, up 11.1 points, reaching the level the benchmark classifies as a significant riser. This represented an increase from 2 valid recommendations to 7 within the qualified set. The prior month saw coverage at 5.5% on 3 valid recommendations, meaning the firm added gains in both August and September.

The firm improved its placement profile alongside coverage. Top-three recommendations rose from 1.4% to 10.0% across the series, and rank-one placement moved from 1.4% to 4.0%, with 5 top-three placements and 2 first-position recommendations in September 2026.

The distinction to note is that this is the only brand whose coverage movement qualified as significant, and the gain appears in both presence and recommendation. The firm moved from near the bottom of the field into a clear second position, though the counts remain small relative to the leader.

Highest-priority diagnostic: Whether the 7 September 2026 recommendations cluster around a particular practice area, geographic market, or question type that indicates a specific strength, or whether the gain is spread broadly across prompt categories.

Wildes & Weinberg: Presence Holds While Top-Three Placement Slips

Wildes & Weinberg's recommendation coverage moved from 87.1% in July 2026 to 86.0% in September 2026, down 1.1 points, a change classified as stable. Against the prior month, coverage declined from 90.9% in August 2026, down 4.9 points. Raw mention presence actually rose from 88.6% to 94.0% across the series, meaning the firm was surfaced in some form in nearly every qualified observation.

The more consequential movement was in placement quality. The firm's top-three rate fell from 72.9% in July 2026 to 46.0% in September 2026, down 26.9 points, a large decline in placement quality even as overall presence increased. Rank-one placement moved from 38.6% to 24.0% over the same period, with 23 top-three and 12 first-position recommendations in September 2026.

The distinction is between presence and placement. Wildes & Weinberg remains visible at record levels, but fewer of those appearances convert into top-three or first-position recommendations. The firm is still recommended in 43 of 50 qualified observations, yet less often as the leading answer.

Highest-priority diagnostic: Which prompt types and surfaces are driving the shift from top-three placement to lower positions, and whether a specific competitor is capturing the leader's former placement in those answers.

Bretz & Coven: Returning to the Qualified Set

Bretz & Coven's recommendation coverage rose from 0.0% in August 2026 to 4.0% in September 2026, recovering from a month with no appearances. Across the full series, coverage moved from 1.4% in July 2026 to 4.0% in September 2026, up 2.6 points, representing an increase from 1 to 2 valid recommendations.

The firm posted a 4.0% top-three rate in September 2026 with 2 top-three placements, though no first-position recommendations. Raw mention presence stood at 4.0%, meaning the firm's appearances converted fully into recommendations.

The movement is not classified as significant given the small counts, but it reverses the August absence. Two valid recommendations in a 50-observation set is a modest signal that the firm has re-entered the AI recommendation stream.

Highest-priority diagnostic: Whether the 2 September recommendations represent a durable recovery or reflect which prompts were collected, and whether they cluster on a specific surface or practice area.

Barst & Mukamal and Spar & Bernstein: Fading to Zero

Barst & Mukamal's recommendation coverage fell from 4.3% in July 2026 to 0.0% in September 2026, down 4.3 points, following a two-month downward streak. The firm went from 3 valid recommendations in July 2026 to 1 in August 2026 to 0 in September 2026. Raw mention presence also fell to 0.0% from 5.7%, a full decline to zero, meaning the firm was not surfaced anywhere in the 50 qualified observations.

Spar & Bernstein's coverage declined from 2.9% in July 2026 to 0.0% in September 2026, down 2.9 points. Notably, the firm's raw mention presence held at 4.0% in September 2026, with 2 mentions that did not convert into any valid recommendation. The firm was present in the prompt stream but produced zero recommendations.

Barst & Mukamal's pattern is the sharper disappearance: both mentions and recommendations fell to zero. Spar & Bernstein's pattern is the more nuanced one: the firm remained visible but stopped converting presence into recommendations.

Highest-priority diagnostic: For Barst & Mukamal, which of the July 2026 recommendations disappeared across August and September, and whether the absence reflects prompt mix or genuine visibility loss. For Spar & Bernstein, which prompts produce a mention without a recommendation, and what changed in how AI systems treat those mentions.

Transparent Justice Law Firm: A Third Month at Zero

Transparent Justice Law Firm recorded 0.0% recommendation coverage in September 2026, its second consecutive month at zero after a single 1.4% reading in July 2026. Raw mention presence also stood at 0.0%, meaning the firm was not surfaced anywhere in the 50 qualified observations.

Wildes & Weinberg records 86.0% recommendation coverage in September 2026, while Transparent Justice Law Firm stands at 0.0%. The more important issue is what that gap means for Transparent Justice Law Firm's recommendation position: even Cyrus D. Mehta & Partners — the category's only significant riser this cycle — moved from 2.9% to 14.0% coverage over the same window, while Transparent Justice Law Firm's single July 2026 recommendation, which appeared at rank one, has not been repeated in either August or September. Two consecutive months at zero coverage, in a category where multiple peers are actively gaining ground, moves this from a possible prompt-mix artifact toward a pattern worth treating as a competitive risk, though the small observation counts keep the finding directional.

Highest-priority diagnostic: Whether the specific prompt that generated the July 2026 rank-one recommendation was repeated in August and September with a different outcome, and whether the firm's absence reflects prompt collection or a genuine decline in AI system recognition.

Buyer-Intent Interpretation

All 50 qualified observations in September 2026 fell into the Brand Recommendation cluster, as did all 55 in August 2026 and all 70 in July 2026. The Pricing & Value and Multi-Brand Comparison clusters registered zero observations across all three months. 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.

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 CiteWorks Studio's AI Industry 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 50 qualified observations in September 2026, a single valid recommendation equals 2.0 percentage points of coverage. Several brand-level movements described in this report reflect changes of one or two recommendations and should be interpreted with that scale in mind.
• Qualified denominator vs raw collection: All brand-level percentages use the qualified observation set (50 in September, 55 in August, 70 in July) as the denominator, not the larger raw prompt collection (63, 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.

Request an AI visibility audit