CiteWorks Studio

Curbelo Law AI Market Strategy Report - Immigration Lawyers

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • Curbelo Law had no measurable presence across 79 qualified AI discovery observations in September 2026.
  • The firm received zero mentions, zero valid recommendations, and no sentiment signal across six tracked AI surfaces.
  • The main gap is recommendation-stage invisibility, showing Curbelo Law is not retrievable in high-intent legal discovery prompts.
  • The clearest next step is building a public evidence layer with practice pages, attorney profiles, and third-party citations tied to buyer questions.

Answer Capsule

Curbelo Law holds no measurable presence in AI-generated recommendations for immigration and bankruptcy-related legal discovery in September 2026. The benchmark shows the firm absent from all 79 qualified observations across six AI surface families, with zero mentions, zero valid recommendations, and no sentiment signal. The clearest weakness is total invisibility at the recommendation stage, meaning the firm is not surfaced when buyers ask AI systems for legal help. The clearest opportunity is building a public evidence layer that makes the firm retrievable and recommendable in high-intent legal discovery prompts.

Who This Report Is For

This report is for Curbelo Law's marketing leadership and firm partners responsible for client acquisition and digital visibility.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Curbelo Law

Category / market studied

Immigration Lawyers

Reporting month

September 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Mode, AI Overviews)

Public high-intent clusters

1

AI observations analyzed

79

Competitors tracked

19

Executive Summary

Curbelo Law recorded no presence in the September 2026 AI Market Discovery benchmark for immigration lawyers. Across 79 qualified observations spanning six AI surface families, the firm generated zero mentions, zero valid recommendations, and zero sentiment classifications. The firm did not appear in any AI-generated response, whether as a reference, a comparison anchor, or a recommendation.

The strongest cluster in the benchmark, Best Bankruptcy Lawyers & Top Debt Relief Attorneys, produced all 79 qualified observations. Curbelo Law holds no share in that cluster. The weakest signal for the firm is not a low recommendation rate but the complete absence of any mention, which means the firm is not part of the information environment AI systems draw from.

The strongest platform signal in the category belongs to Upsolve, which leads valid recommendation coverage at 16.5%, and Fragomen, which converts most of its presence into top-ranked recommendations. Curbelo Law has no platform signal in any of the six tracked surfaces. The clearest platform and cluster gap is total non-appearance in the only active buyer-intent cluster in this benchmark.

The benchmark shows that AI systems in this category are actively recommending a small set of firms. Curbelo Law is not among them, and the data suggests the firm lacks the retrievable public evidence layer needed to enter AI-generated recommendation sets.

What Curbelo Law Is Winning

The benchmark data does not show any measurable wins for Curbelo Law in September 2026. The firm recorded zero mentions, zero valid recommendations, zero top-three placements, and zero rank-one placements across all 79 qualified observations.

The absence of negative sentiment is the only neutral observation available. Curbelo Law has no negative framing in AI responses because it has no framing at all. That is not a reputational win; it is a visibility gap.

Where Curbelo Law Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How does Curbelo Law's recommendation coverage compare with the category leaders?
  • What does the gap between zero mentions and low recommendation conversion imply for the firm?

Curbelo Law is absent from the AI recommendation environment entirely. The firm does not appear in any of the 79 qualified observations collected across ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.

The category leader, Upsolve, holds 16.5% valid recommendation coverage with 13 valid recommendations. Fragomen follows at 10.1% with 8 valid recommendations and converts nearly all of its top-three placements into first position. John T. Orcutt and Sasser Law Firm each hold 7.6% coverage. Curbelo Law holds 0.0% coverage, meaning competitors are being recommended in every instance where the firm is absent.

The gap is not a recommendation conversion problem. Curbelo Law has no raw mention presence to convert. The firm is not being surfaced as a reference, not being compared, and not being shortlisted. This points to a missing public evidence layer rather than a framing or positioning issue.

Biggest Opportunity

Questions This Section Answers

  • What is the clearest opportunity for Curbelo Law to build AI visibility?
  • What should the firm focus on to move from zero mention presence to measurable recommendations?

The clearest opportunity for Curbelo Law is to establish a baseline of AI visibility in the active buyer-intent cluster. The benchmark shows that all 79 qualified observations fall into the Brand Recommendation class, where buyers ask AI systems to name or nominate a specific legal provider.

Curbelo Law should focus on becoming retrievable in direct request scenarios. That requires building owned content and citation sources that AI systems can find and synthesize, including practice-area pages, attorney profiles, case explanations, and service descriptions tied to the specific legal questions buyers are asking. The goal is to move from zero mention presence to a measurable mention rate, then convert those mentions into valid recommendations.

Competitive Landscape

Questions This Section Answers

  • Which competitors hold the strongest recommendation positions, and where does Curbelo Law sit?
  • How do competitors with zero valid recommendations still differ from Curbelo Law's position?

Upsolve and Fragomen hold the strongest recommendation-stage positions in this category, with a cluster of regional firms following behind. Curbelo Law sits outside the tracked recommendation set entirely.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Fragomen

8.86%

8.86%

1.375

1.00

John T. Orcutt

7.59%

2.53%

1.6667

1.00

Sasser Law Firm

7.59%

5.06%

1.5

0.75

Allmand Law

2.53%

2.53%

1

0.75

Upsolve

1.27%

1.27%

1

0.6129

Cibik Law

1.27%

0.00%

2

1.00

Pollak PLLC

1.27%

1.27%

1

1.00

Curbelo Law

0.00%

0.00%

0.00

Berardi Immigration Law

0.00%

0.00%

0.00

Boundless Immigration

0.00%

0.00%

0.20

Catholic Legal Immigration Network

0.00%

0.00%

0.00

DebtStoppers

0.00%

0.00%

0.00

Fears Nachawati

0.00%

0.00%

0.00

Herman Legal Group

0.00%

0.00%

0.00

Heupel Law

0.00%

0.00%

0.00

Reeves Immigration Law Group

0.00%

0.00%

0.00

Scott Legal

0.00%

0.00%

0.00

SimpleCitizen

0.00%

0.00%

0.00

Tully Rinckey

0.00%

0.00%

0.00

Average recommended rank covers rank-eligible recommendations only.

Curbelo Law sits at the bottom of the tracked set alongside other firms with no recommendation-stage presence. The table shows that several competitors with zero valid recommendations still hold raw mention presence, while Curbelo Law has neither.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "best bankruptcy attorney dallas" Result: Curbelo Law did not appear in the response, while competing firms captured the recommendation slots.

ChatGPT / Brand Recommendation Prompt: "bankruptcy attorney philadelphia" Result: Curbelo Law was absent from the response, with Fragomen capturing top-ranked placement.

Perplexity / Brand Recommendation Prompt: "immigration lawyer for spouse visa" Result: Curbelo Law was not surfaced, while other tracked firms received mention or recommendation credit.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map which high-intent prompts in the active buyer-intent cluster return competitor recommendations and confirm where Curbelo Law is absent.

Phase 2: Recommendation Readiness Plan Identify the owned content and service pages needed to make the firm eligible for AI-generated recommendation sets.

Phase 3: Owned Answer Layer Buildout Develop practice-area content that directly answers the legal questions buyers are asking AI systems.

Phase 4: Citation / Authority Layer Development Build the public evidence layer, including profiles, directories, and third-party references, that AI systems can retrieve and synthesize.

Phase 5: Monthly AI Visibility and Recommendation Tracking Measure mention presence and recommendation coverage monthly to confirm the firm is entering the AI discovery environment.

Why This Matters

AI systems are now part of how buyers choose legal representation. When a buyer asks an AI assistant to name a bankruptcy attorney or an immigration lawyer, the firms that appear in that response gain consideration before any direct outreach happens. Curbelo Law is not appearing in those responses at all.

Presence alone is not enough, but it is the necessary first step. The firms winning recommendations in this benchmark have built the public evidence layer that makes them retrievable. For Curbelo Law, the next move is to build that layer and begin converting absence into measurable AI visibility.

Core Metrics

Questions This Section Answers

  • What do the core metrics show about the firm's AI visibility position?

Metric

Value

Mentions

0

Valid recommendations

0

Top 3 recommendation count

0

Rank #1 recommendation count

0

Average recommended rank

N/A

Positive mentions

0

Neutral mentions

0

Negative mentions

0

Raw mention presence rate

0.00%

Valid recommendation coverage

0.00%

Top 3 recommendation rate

0.00%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.00

Strongest cluster by recommendation behavior

No active cluster presence

Strongest platform by recommendation behavior

No active platform presence

Sentiment Score

Questions This Section Answers

  • Why does a zero sentiment score indicate absence rather than neutral framing?

Sentiment Score = (positive mentions x 1 + neutral mentions x 0 + negative mentions x -1) / total mentions

Curbelo Law has zero mentions in the September 2026 benchmark, so the sentiment score is 0.00. That score does not indicate neutral framing; it indicates the absence of any framing.

This distinction matters for measurement. Unclassified mention counts are misleading because they treat every appearance as equal value. Share of voice is a diagnostic metric, not a business KPI, and it cannot substitute for understanding how a brand is framed. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal signals. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, and for Curbelo Law, the first step is generating any mention at all.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Copilot

0

0

0

0

N/A

No public presence in this packet

Gemini

0

0

0

0

N/A

No public presence in this packet

Perplexity

0

0

0

0

N/A

No public presence in this packet

Google AI Mode

0

0

0

0

N/A

No public presence in this packet

Google AI Overviews

0

0

0

0

N/A

No public presence in this packet

Methodology

Questions This Section Answers

  • What does the public benchmark measure, and what are its limits?
  • How is a valid recommendation defined, and what does zero coverage mean in this data?
  1. This report is a benchmark-based analysis of Curbelo Law's AI visibility and recommendation position in the Immigration Lawyers category. It is not a client implementation case study.
  2. The reporting window is September 2026, with July 2026 and August 2026 referenced for trend context where available.
  3. Six AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.
  4. The benchmark began with 586 prompt-surface observations and 392 unique questions. Of those, 300 were relevant and 286 were irrelevant.
  5. The public qualified set contains 79 observations, which serves as the denominator for all brand-level metrics.
  6. Nineteen brands were tracked in the competitor universe, including Curbelo Law.
  7. All 79 qualified observations fell into the Brand Recommendation buyer-intent cluster. No qualified observations were recorded for Pricing & Value or Multi-Brand Comparison clusters.
  8. A mention is defined as any appearance of a tracked brand in an AI response, regardless of whether the brand is recommended.
  9. A valid recommendation requires the brand to receive qualifying recommendation credit within the response, distinct from a neutral reference or comparison anchor.
  10. The public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from metric movement alone.
  11. Curbelo Law recorded zero mentions and zero valid recommendations across all platforms and clusters in the September 2026 qualified set.
  12. Small-count movements are present in this benchmark, and several brands hold zero valid recommendations. These counts are valid signals for a niche vertical and should not be dismissed because the numbers are small.

See How AI Is Recommending Your Brand

The public benchmark shows where Curbelo Law stands relative to competitors in AI-generated legal recommendations. A company-level AI visibility audit maps the specific prompts, platforms, and competitor patterns that determine where your firm appears, and where competitors are being recommended instead.

/ Take the next step

Want to Understand Your AI Citation Footprint?

We start every engagement with a full audit of how AI systems reference your brand today.

Measurable, Repeatable Programme

Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge

Citation Architecture Review

Identify which high-authority community sources are and aren't working in your favour across AI platforms.

AI Visibility Audit

Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.

/ Learn More

Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
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.
What Is AI Share of Voice?
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.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT