CiteWorks Studio

Berardi Immigration Law AI Market Strategy Report - Immigration Lawyers

Mark HuntleyBy Mark HuntleyFounder and CEO
8 minutes read

Key Takeaways

  • Berardi Immigration Law was mentioned in 2.53% of qualified AI observations, but none of those mentions converted into valid recommendations.
  • The firm's only measured visibility came from Google AI Mode; ChatGPT, Copilot, Gemini, Perplexity, and Google AI Overviews showed no qualified presence.
  • All recorded mentions were neutral, indicating the brand is retrievable in AI answers but not selected when users ask for immigration legal help.
  • Fragomen and Upsolve show that stronger recommendation coverage and top placement are achievable in the immigration legal market with a deeper authority and citation footprint.

Answer Capsule

Berardi Immigration Law holds minimal presence in AI-generated recommendations for immigration legal services, with no valid recommendation coverage across the tracked AI platforms in September 2026. The firm is surfaced in only 2.53% of qualified observations, all framed neutrally, meaning AI systems acknowledge the brand without recommending it. The clearest weakness is the complete absence of recommendation conversion, while the clearest opportunity lies in building the citation and authority layer needed to move from neutral reference to active shortlist inclusion. Competitors such as Fragomen and Upsolve demonstrate that both presence and recommendation strength are achievable in this category.

Who This Report Is For

This report is for marketing and business development leaders at Berardi Immigration Law who need to understand how AI-driven discovery is shaping buyer consideration in the immigration legal services category.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Berardi Immigration 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

Berardi Immigration Law is present in the AI recommendation environment but is not being recommended. The benchmark shows the firm appearing in 2.53% of qualified observations across the tracked AI platforms in September 2026, with zero valid recommendations and zero top-three placements. All mentions were neutral, producing a net sentiment score of 0.00.

The strongest platform signal comes from Google AI Mode, where Berardi Immigration Law appeared in 10% of observations, though again without recommendation credit. The firm had no presence on ChatGPT, Copilot, Gemini, Perplexity, or Google AI Overviews in the qualified observation set.

The clearest gap is the conversion of presence into recommendation. Berardi Immigration Law is being surfaced as context or reference material, but AI systems are not selecting the firm when buyers ask for immigration legal help. Meanwhile, Fragomen holds 10.13% valid recommendation coverage with an 8.86% rank-one rate, and Upsolve leads the category at 16.46% coverage, showing that recommendation strength is attainable in this market.

What Berardi Immigration Law Is Winning

The evidence base for wins is narrow. Berardi Immigration Law has no negative mentions in the September 2026 observation set, which means the public evidence layer contains no cautionary or adverse framing. The firm also holds a small pocket of neutral presence on Google AI Mode, indicating that at least one major AI surface recognizes the brand as relevant to immigration legal discussions. These are limited signals and should not be overstated.

Where Berardi Immigration Law Has the Clearest AI Visibility Gaps

The primary gap is recommendation conversion. Berardi Immigration Law appears in 2.53% of qualified observations but converts none of that presence into valid recommendations. The firm is present as context, not as a chosen option.

The gap is most visible when compared with category leaders. Fragomen appears in 26.58% of observations and converts 10.13% into valid recommendations, with 7 of its 8 recommendations ranked first. Upsolve appears in 39.24% of observations and holds 16.46% valid recommendation coverage. Berardi Immigration Law has no equivalent conversion path.

The firm also lacks presence across most tracked platforms. ChatGPT, Copilot, Gemini, Perplexity, and Google AI Overviews returned no Berardi Immigration Law mentions in the qualified set. Only Google AI Mode surfaced the brand, and even there the firm received no recommendation credit. This suggests the public evidence layer is too thin for AI systems to retrieve and recommend the firm consistently.

Biggest Opportunity

The clearest opportunity is converting neutral reference presence into valid recommendation coverage on Google AI Mode. Berardi Immigration Law already appears on this surface, which means AI systems can retrieve the brand. The missing piece is the framing and authority signals that lead those systems to recommend the firm rather than merely mention it. Building out the owned answer layer and citation architecture around the firm's specific practice strengths would give AI systems the structured evidence needed to move Berardi Immigration Law from reference to recommendation.

Competitive Landscape

Questions This Section Answers

  • How does Berardi Immigration Law's recommendation position compare with the category leaders?
  • Which competitors demonstrate that top-three placement is achievable in this market?

Fragomen and Upsolve hold the strongest recommendation positions in the immigration legal category, with Upsolve leading on coverage and Fragomen leading on placement quality. Berardi Immigration Law sits at the bottom of the competitive set with presence but no recommendation conversion.

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

Cibik Law

1.27%

0.00%

2

1.00

Pollak PLLC

1.27%

1.27%

1

1.00

Upsolve

1.27%

1.27%

1

0.6129

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

Curbelo Law

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.

The table shows Berardi Immigration Law tied with several brands that hold no recommendation credit, while Fragomen, John T. Orcutt, and Sasser Law Firm demonstrate that mid-tier brands can earn top-three placement. The firm's neutral presence without recommendation conversion is the defining characteristic of its current position.

Prompt Evidence

Google AI Mode / Brand Recommendation Prompt: "immigration lawyer for spouse visa" Result: Berardi Immigration Law was surfaced as a neutral reference but received no recommendation credit.

Google AI Mode / Brand Recommendation Prompt: "becoming a us citizen" Result: The firm appeared in the response set without being recommended, consistent with its overall presence-without-conversion pattern.

Google AI Mode / Brand Recommendation Prompt: "what is the green card" Result: Berardi Immigration Law was mentioned as context, while other brands captured the recommendation slots.

What CiteWorks Studio Would Do Next

Questions This Section Answers

  • What phased strategy should Berardi Immigration Law follow to convert neutral mentions into recommendations?

Phase 1: AI Market Discovery Audit Map the specific prompts and surfaces where Berardi Immigration Law appears as a neutral reference and identify which competitors capture the recommendation slots in those same answers.

Phase 2: Recommendation Readiness Plan Define the practice areas and client scenarios where the firm should be recommended, then align those targets with the high-intent prompt clusters that drive immigration legal discovery.

Phase 3: Owned Answer Layer Buildout Develop structured, authoritative content that answers the specific immigration questions where AI systems currently mention the firm without recommending it.

Phase 4: Citation / Authority Layer Development Build the external citation and source footprint that AI systems can retrieve and synthesize, focusing on the evidence types that support recommendation decisions.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track presence, recommendation coverage, placement, and sentiment monthly to measure whether the firm is converting neutral references into valid recommendations.

Why This Matters

Questions This Section Answers

  • Why does presence without recommendation fail to protect Berardi Immigration Law's position in AI-driven buyer discovery?

AI-generated recommendations are becoming a primary filter in how buyers identify and select immigration legal services. When a prospective client asks an AI assistant for an immigration lawyer, the brands that appear in the recommendation slots gain consideration before any direct outreach begins.

Presence alone is not enough. Berardi Immigration Law is being mentioned by AI systems, which means the brand is retrievable, but it is not being chosen. The next move is targeted correction of the prompt, page, and citation layers so that the firm moves from neutral reference to active recommendation in the answers that shape buyer decisions.

Core Metrics

Metric

Value

Mentions

2

Valid recommendations

0

Top 3 recommendation count

0

Rank #1 recommendation count

0

Average recommended rank

N/A

Positive mentions

0

Neutral mentions

2

Negative mentions

0

Raw mention presence rate

2.53%

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

Best Bankruptcy Lawyers & Top Debt Relief Attorneys

Strongest platform by recommendation behavior

Google AI Mode

Sentiment Score

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

For Berardi Immigration Law, the calculation is (0 × 1 + 2 × 0 + 0 × -1) / 2, producing a net sentiment score of 0.00.

This matters because unclassified mention counts are misleading. Berardi Immigration Law has 2 mentions, but neither is a positive 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. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Mode

2

0

2

0

0.00

Present as context, not recommendation

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 Overviews

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. This report is a benchmark-based analysis of Berardi Immigration Law's AI visibility and recommendation position in the Immigration Lawyers category, based on the LLM Authority Index AI Market Discovery Index for September 2026.
  2. The reporting window is September 2026, with July 2026 referenced as the baseline month where relevant.
  3. Six AI 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 and 392 unique questions. Of those, 300 were relevant and 286 were irrelevant. The qualified benchmark set contains 79 observations.
  5. Nineteen brands were tracked in the competitor universe, including Berardi Immigration Law.
  6. All qualified observations in September 2026 fell into the Brand Recommendation buyer-intent class. No qualified observations were recorded for Pricing & Value or Multi-Brand Comparison.
  7. Stage 0 extraction captured prompt-level data including query, AI 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 shortlisted or recommended in the response, distinct from a neutral or contextual mention.
  10. Brand-level percentages use the qualified observation count of 79 as the public denominator.
  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 counts.
  12. This analysis identifies where Berardi Immigration Law stands in AI recommendation coverage. It does not establish the cause of those positions, which requires prompt-level and surface-level inspection.

Get Your AI Visibility Audit

The public benchmark shows where Berardi Immigration Law stands in AI-generated recommendations, but a company-level audit is needed to explain why the firm is mentioned without being recommended. A detailed AI visibility audit maps the specific prompts, surfaces, competitors, and evidence sources that determine whether Berardi Immigration Law appears as a neutral reference or an active recommendation.

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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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