CiteWorks Studio

Fragomen AI Market Strategy Report - Immigration Lawyers

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Fragomen ranks second in the immigration lawyers benchmark with 10.1% valid recommendation coverage in September 2026, behind Upsolve at 16.5%.
  • Its placement quality is the strongest in the category, converting every top-three placement into a first-position recommendation and posting an average recommended rank of 1.375.
  • ChatGPT is Fragomen's clearest strength, delivering 62.5% valid recommendation coverage and five first-place recommendations across eight observations.
  • The main gap is zero presence on Google AI Mode and Google AI Overviews, where competitors are capturing recommendations across the highest-volume surfaces.

Answer Capsule

Fragomen holds the second position in the Immigration Lawyers benchmark with 10.1% valid recommendation coverage in September 2026, behind only Upsolve at 16.5%. The firm demonstrates the strongest recommendation placement quality in the category, converting all of its top-three placements into first-position recommendations at an 8.9% rank-one rate. Fragomen's clearest weakness is its absence from Google AI Mode and Google AI Overviews, where it holds zero presence despite those surfaces carrying the largest observation volumes. The clearest opportunity is converting its strong ChatGPT recommendation position into a broader cross-platform presence, particularly across Google's AI surfaces where competitors like Upsolve, John T. Orcutt, and Sasser Law Firm are capturing recommendations.

Who This Report Is For

This report is for marketing, growth, and digital strategy leaders at Fragomen and other immigration law firms tracking how AI-generated recommendations are shaping firm selection in the category.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Fragomen

Category / market studied

Immigration Lawyers

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

79

Competitors tracked

19

Executive Summary

Fragomen holds 10.1% valid recommendation coverage in September 2026, placing it second in the Immigration Lawyers benchmark behind Upsolve at 16.5%. The firm recorded 8 valid recommendations from 21 total mentions across 79 qualified observations, with all 21 mentions classified as positive and none neutral or negative. This clean sentiment profile, combined with a net sentiment score of 1.0, indicates that when AI systems surface Fragomen, they frame it favorably.

The strongest signal for Fragomen is placement quality. The firm's 8.9% top-three rate matches its 8.9% rank-one rate, meaning every top-three placement converted into the first recommendation position. With an average recommended rank of 1.375 across its 8 valid recommendations, Fragomen is consistently the first or second option when it appears. This is the strongest placement profile in the tracked competitor set.

The clearest platform strength is ChatGPT, where Fragomen holds 62.5% valid recommendation coverage across 8 observations, with 5 of 5 top-three placements converting to rank-one. The firm also holds meaningful presence on Gemini at 41.2% raw mention presence and Copilot at 35.3%.

The clearest platform gap is Google AI Mode and Google AI Overviews, where Fragomen holds zero presence. This is significant because Google AI Mode alone accounts for 20 of the 79 qualified observations, the largest single-surface share in the benchmark. Upsolve captures 45.0% valid recommendation coverage on Google AI Mode, while John T. Orcutt and Sasser Law Firm each hold 20.0% coverage there.

Fragomen's baseline-to-current movement shows a 5.8 percentage point gain from 4.3% in July 2026 to 10.1% in September 2026, though the firm peaked at 15.4% in August before easing. The September position remains well above the July baseline, indicating sustained improvement in AI recommendation visibility.

What Fragomen Is Winning

Fragomen holds the strongest recommendation placement quality in the Immigration Lawyers benchmark. Its 8.9% top-three rate and 8.9% rank-one rate are identical, meaning every top-three placement converts to the first recommendation position. No other tracked brand with meaningful coverage achieves this conversion rate.

ChatGPT is Fragomen's clearest platform win. The firm holds 62.5% valid recommendation coverage on ChatGPT across 8 observations, with 5 valid recommendations, all ranked first. This is the strongest single-platform recommendation performance in the tracked set and indicates that ChatGPT consistently names Fragomen as the top choice when the firm appears.

Fragomen's sentiment profile is clean. All 21 mentions in September 2026 were classified as positive, producing a net sentiment score of 1.0. The firm has no neutral or negative mentions in the current observation set, which supports a consistent positive framing across AI responses.

The firm's average recommended rank of 1.375 across 8 valid recommendations confirms that Fragomen is not merely present in AI answers but is positioned at the top of the recommendation list when it appears.

Where Fragomen Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Which AI surfaces show Fragomen completely absent despite high observation volumes?
  • What does Fragomen's presence-to-recommendation conversion pattern look like on platforms where it is not recommended?

Fragomen's most significant gap is its complete absence from Google AI Mode and Google AI Overviews. Google AI Mode accounts for 20 of the 79 qualified observations, the largest surface in the benchmark, yet Fragomen holds zero presence there. Upsolve captures 45.0% valid recommendation coverage on Google AI Mode, while John T. Orcutt and Sasser Law Firm each hold 20.0% coverage. This means competitors are winning recommendations on the highest-volume surface while Fragomen is entirely absent.

The gap is also visible on Google AI Overviews, where Allmand Law holds 22.2% valid recommendation coverage, John T. Orcutt holds 22.2%, and Sasser Law Firm holds 22.2%. Fragomen has no presence on this surface despite its strong ChatGPT and Gemini positioning.

Fragomen's presence on Perplexity is present but not recommendation-led. The firm holds 37.5% raw mention presence on Perplexity across 8 observations, but zero valid recommendations. This indicates Fragomen is being mentioned as context or reference rather than being recommended as a choice, a pattern that suggests the firm's source footprint supports awareness but not selection on that platform.

The firm's overall presence-to-recommendation conversion shows room for improvement. Fragomen holds 26.6% raw mention presence but only 10.1% valid recommendation coverage, meaning the firm is mentioned in more than a quarter of qualified observations but recommended in only one in ten. While the placement quality is strong when recommendations occur, the conversion gap indicates many mentions do not lead to recommendation credit.

Biggest Opportunity

Questions This Section Answers

  • What is Fragomen's clearest opportunity for expanding its AI recommendation coverage?
  • What would Fragomen need to build to gain presence on Google's AI surfaces?

Fragomen's clearest opportunity is converting its strong ChatGPT recommendation position into presence on Google AI Mode and Google AI Overviews. These two surfaces account for 29 of the 79 qualified observations, the largest combined share in the benchmark, and Fragomen holds zero presence on either. Competitors including Upsolve, John T. Orcutt, Sasser Law Firm, and Allmand Law are already capturing recommendations on these surfaces.

The path forward is to build the public evidence layer that Google's AI surfaces can retrieve and synthesize. Fragomen's absence from these surfaces despite its category authority suggests the firm's source footprint is not structured in a way that Google AI Mode and AI Overviews can use for recommendation formation. Strengthening the citation architecture around the firm's practice areas, client outcomes, and category leadership would give these surfaces the material needed to include Fragomen in recommendation answers.

Competitive Landscape

Fragomen holds the second position in the Immigration Lawyers benchmark with 10.1% valid recommendation coverage, behind Upsolve at 16.5%. The firm's placement quality is the strongest in the category, with an 8.9% rank-one rate that exceeds Upsolve's 1.3% despite Upsolve's higher overall coverage.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Fragomen

8.86%

8.86%

1.375

1.0

John T. Orcutt

7.59%

2.53%

1.6667

1.0

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

1.0

Pollak PLLC

1.27%

1.27%

1

1.0

Berardi Immigration Law

0.00%

0.00%

0.0

Boundless Immigration

0.00%

0.00%

0.2

Catholic Legal Immigration Network

0.00%

0.00%

0.0

Curbelo Law

0.00%

0.00%

0.0

DebtStoppers

0.00%

0.00%

0.0

Fears Nachawati

0.00%

0.00%

0.0

Herman Legal Group

0.00%

0.00%

0.0

Heupel Law

0.00%

0.00%

0.0

Reeves Immigration Law Group

0.00%

0.00%

0.0

Scott Legal

0.00%

0.00%

0.0

SimpleCitizen

0.00%

0.00%

0.0

Tully Rinckey

0.00%

0.00%

0.0

Average recommended rank covers rank-eligible recommendations only.

Fragomen leads the category in top-three rate and rank-one rate, ahead of John T. Orcutt and Sasser Law Firm. Upsolve holds higher overall coverage but converts only 1.3% of observations into top-three placements, meaning its recommendations are concentrated outside the top positions. Fragomen's placement profile is the strongest in the tracked set.

Prompt Evidence

ChatGPT / Brand Recommendation Prompt: "Who is the largest immigration law firm in the world?" Result: Fragomen was recommended as the first choice, consistent with its 62.5% valid recommendation coverage and perfect rank-one conversion on ChatGPT.

Google AI Mode / Brand Recommendation Prompt: "best bankruptcy attorney dallas" Result: Fragomen was absent from the response, while Upsolve, John T. Orcutt, and Sasser Law Firm captured recommendations on this surface where Fragomen holds zero presence.

Perplexity / Brand Recommendation Prompt: "immigration lawyer for spouse visa" Result: Fragomen was mentioned as context but received no recommendation credit, reflecting the firm's 37.5% presence rate with zero valid recommendations on Perplexity.

What CiteWorks Studio Would Do Next

Questions This Section Answers

  • What are the five phases CiteWorks Studio recommends for closing Fragomen's AI visibility gaps?
  • Which phase addresses Fragomen's lack of presence on Google AI Mode and AI Overviews?

Phase 1: AI Market Discovery Audit Map the specific prompts and surfaces where Fragomen is mentioned but not recommended, with priority on Google AI Mode and Google AI Overviews where the firm holds zero presence.

Phase 2: Recommendation Readiness Plan Identify the source types and content formats that Google's AI surfaces use to recommend competitors, then define the gap between Fragomen's current public evidence layer and the patterns that drive recommendation credit.

Phase 3: Owned Answer Layer Buildout Develop owned content that directly answers high-intent immigration and legal service prompts, structured so AI systems can retrieve and synthesize it into recommendation answers.

Phase 4: Citation / Authority Layer Development Build the backlink-supported evidence layer and third-party citation sources that give AI systems material to draw from when forming recommendations on Google AI Mode and AI Overviews.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Fragomen's presence, recommendation coverage, top-three rate, and rank-one rate monthly across all six surfaces to measure whether the Google AI Mode and AI Overviews gap is closing.

Why This Matters

Fragomen is being recommended with the strongest placement quality in the Immigration Lawyers category, but only on a narrow set of surfaces. When ChatGPT and Gemini recommend the firm, they put it first. When Google AI Mode and AI Overviews form answers, Fragomen does not appear at all, even though those surfaces carry the largest observation volumes in the benchmark.

AI presence alone is not enough. Fragomen has presence on Perplexity without recommendation conversion, and it has no presence at all on Google's AI surfaces where competitors are winning recommendation credit. The next move is targeted correction of the prompt, page, and citation layers to give Google's AI systems the material they need to include Fragomen in recommendation answers.

Core Metrics

Questions This Section Answers

  • How does Fragomen's top-three placement rate compare with its rank-one rate across the benchmark?
  • Which buyer-intent cluster and platform produce Fragomen's strongest recommendation behavior?

Metric

Value

Mentions

21

Valid recommendations

8

Top 3 recommendation count

7

Rank #1 recommendation count

7

Average recommended rank

1.375

Positive mentions

21

Neutral mentions

0

Negative mentions

0

Raw mention presence rate

26.58%

Valid recommendation coverage

10.13%

Top 3 recommendation rate

8.86%

Rank #1 recommendation rate

8.86%

Net sentiment score

1.0

Strongest cluster by recommendation behavior

Best Bankruptcy Lawyers & Top Debt Relief Attorneys

Strongest platform by recommendation behavior

ChatGPT

Sentiment Score

Questions This Section Answers

  • How are positive mentions weighted in the sentiment score calculation?
  • Why is classified sentiment needed before interpreting AI visibility data?

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

For Fragomen in September 2026, the calculation is (21 × 1 + 0 × 0 + 0 × -1) / 21, producing a net sentiment score of 1.0.

This score matters because unclassified mention counts are misleading. A brand can appear frequently in AI responses but be framed negatively or as a cautionary example, which does not support recommendation. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it distinguishes whether a brand is being recommended, referenced, or warned against.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

5

5

0

0

1.0

Strongest public recommendation signal

Copilot

6

6

0

0

1.0

Present, but not recommendation-led

Gemini

7

7

0

0

1.0

Present, but not recommendation-led

Perplexity

3

3

0

0

1.0

Present as context, not recommendation

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

  1. This report is a company-level AI market strategy analysis based on the LLM Authority Index AI Market Discovery Index for the Immigration Lawyers vertical, not a client implementation case study.
  2. The reporting window is September 2026, with July 2026 as the baseline reference month and August 2026 as the intermediate comparison month.
  3. Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Mode, and Google AI Overviews.
  4. The September 2026 run began with 586 prompt-surface observations (392 unique questions), of which 300 were relevant and 286 were irrelevant, yielding 79 qualified benchmark observations.
  5. The competitor universe includes 19 tracked brands in the Immigration Lawyers category.
  6. All 79 qualified observations in September 2026 fell into the Brand Recommendation buyer-intent class, with no qualified observations in Pricing & Value or Multi-Brand Comparison clusters.
  7. Stage 0 extraction captured prompt-level observations retaining the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  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 is defined as a qualifying recommendation where the brand is actively recommended or shortlisted, distinct from a neutral reference or cautionary mention.
  10. Brand-level percentages use the 79 qualified observations as the public denominator, not the raw collection universe of 586 prompts.
  11. The September 2026 qualified set of 79 observations is smaller than the July 2026 set of 93, which affects the sensitivity of percentage movements. Brand-level rates should be read alongside absolute valid recommendation counts.
  12. This analysis identifies where Fragomen stands in AI recommendation coverage. It does not establish the cause of those outcomes, which requires prompt-level and surface-level inspection.

See How AI Is Recommending Your Brand

The public benchmark shows where Fragomen stands in AI-generated recommendations, but a company-level audit maps the specific prompts, surfaces, competitors, and evidence sources that drive those outcomes. Understanding which high-intent prompts return Fragomen as the top answer, and which surfaces exclude the firm entirely, is the first step toward building a recommendation strategy that works across all six AI platforms.

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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.

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