John T. Orcutt AI Market Strategy Report - Immigration Lawyers

Answer Capsule

John T. Orcutt holds a narrow but meaningful recommendation position in the Immigration Lawyers category, with 7.59% valid recommendation coverage in September 2026. The firm returned to the recommendation set after a 0.0% absence in August 2026, earning its first rank-one placements of the three-month series. Its clearest weakness is the concentration of recommendation strength in Google AI Mode and AI Overviews, with no presence across ChatGPT, Copilot, Gemini, or Perplexity. The clearest opportunity is converting its strong top-three placement rate into broader cross-platform visibility, particularly on assistant-style surfaces where buyers ask direct questions.

Who This Report Is For

This report is for marketing, growth, and digital strategy leaders at John T. Orcutt responsible for understanding how AI systems recommend the firm to prospective clients.

Report Card

Executive Summary

John T. Orcutt holds 7.59% valid recommendation coverage in September 2026, placing it third in the Immigration Lawyers benchmark alongside Sasser Law Firm. The firm recorded 6 valid recommendations from 6 total mentions, meaning every mention converted into a qualifying recommendation. This perfect mention-to-recommendation conversion is the strongest efficiency signal in the tracked set.

The firm earned its first rank-one placements of the series in September 2026, with 2 of its 6 valid recommendations ranked first. Its top-three rate of 7.59% matches its coverage rate exactly, indicating that all recommendations appear within the first three positions. The average recommended rank of 1.67 confirms that when John T. Orcutt appears, it appears early in the answer.

The strongest platform signal is Google AI Mode, where the firm holds 20.0% valid recommendation coverage with 4 of its 6 total recommendations. AI Overviews contributes the remaining 2 recommendations at 22.22% coverage on that surface. The firm has no presence on ChatGPT, Copilot, Gemini, or Perplexity, creating a clear platform concentration risk.

The weakest cluster signal is structural rather than performance-based. All qualified observations in September 2026 fell into the Brand Recommendation class, with no pricing, value, or comparison data available. The public benchmark cannot yet show how John T. Orcutt is positioned on cost discussions or head-to-head comparisons.

Net sentiment for John T. Orcutt reached 1.0 in September 2026, up from 0.9 in July 2026. The firm recorded 6 positive mentions and zero neutral or negative mentions in the current month.

What John T. Orcutt Is Winning

John T. Orcutt converts presence into recommendation at a perfect rate. Every mention in September 2026 produced a valid recommendation, a conversion pattern that separates it from brands with higher raw visibility but weaker recommendation outcomes.

The firm earns top-three placement on every recommendation. Its top-three rate of 7.59% equals its coverage rate, meaning no recommendation falls outside the first three positions. Two of those six recommendations reached rank one, the first rank-one placements of the series for the firm.

Google AI Mode is a genuine strength pocket. The firm holds 20.0% coverage on that surface, its strongest platform result, with an average recommended rank of 1.5 across four recommendations. AI Overviews adds two more recommendations at 22.22% coverage on that surface, giving the firm a meaningful Google-owned answer surface footprint.

Net sentiment of 1.0 indicates the firm is framed positively whenever it appears. There are no neutral references diluting the signal and no negative framing to remediate.

Where John T. Orcutt Has the Clearest AI Visibility Gaps

The clearest gap is platform concentration. John T. Orcutt has zero presence on ChatGPT, Copilot, Gemini, and Perplexity. Fragomen, by contrast, holds 62.5% coverage on ChatGPT alone, capturing the assistant-style surface where buyers often ask direct questions. John T. Orcutt's entire recommendation footprint sits on Google-owned surfaces, leaving it absent from the conversational assistant layer entirely.

The firm's August 2026 absence remains unexplained by the public data. John T. Orcutt recorded 0.0% coverage in August before returning at 7.6% in September. Whether this was a temporary measurement effect or a genuine gap in AI surfacing is not resolvable from the benchmark alone.

The firm also lacks presence in pricing and comparison clusters. All qualified observations fell into the Brand Recommendation class, so there is no public evidence of how John T. Orcutt is positioned when buyers ask about cost or compare firms directly. For a legal services category where cost and firm selection are evaluated together, this is a material blind spot.

Biggest Opportunity

The clearest opportunity is expanding John T. Orcutt's recommendation footprint beyond Google-owned surfaces into assistant-style platforms. The firm has proven it can win top-three placement when recommended, with an average rank of 1.67 and a perfect mention-to-recommendation conversion rate. That strength is currently locked inside AI Mode and AI Overviews. ChatGPT, Copilot, Gemini, and Perplexity represent the surfaces where the firm is entirely absent and where competitors like Fragomen hold meaningful recommendation positions. The path from reference to recommendation on those platforms requires the firm to become retrievable in the source layer those systems draw from, not just visible on Google surfaces.

Competitive Landscape

Questions This Section Answers

• Where does John T. Orcutt rank against its closest competitors in the Immigration Lawyers benchmark?
• On which ranking metric does John T. Orcutt lose ground to Fragomen despite matching its top-three rate?

Fragomen holds the strongest recommendation-stage position in the category with an 8.86% top-three rate and perfect rank-one conversion. Upsolve leads on raw coverage at 16.46% but concentrates its recommendations outside the top three. John T. Orcutt sits in a cluster with Sasser Law Firm, both at 7.59% coverage, with John T. Orcutt trailing on rank-one rate.

Average recommended rank covers rank-eligible recommendations only.

John T. Orcutt matches Fragomen on sentiment and holds a comparable top-three rate, but Fragomen converts every top-three placement into rank one while John T. Orcutt converts only one-third. The table shows a firm that wins placement but loses the final position battle.

Prompt Evidence

Questions This Section Answers

• Which prompt-surface combinations produced John T. Orcutt's rank-one and top-three recommendations?
• What does the ChatGPT evidence show about where the firm's platform gap is most visible?

Google AI Mode / Brand Recommendation Prompt: "best bankruptcy attorney dallas" Result: John T. Orcutt appeared as a recommended option with rank-one placement in some responses, contributing to its 20.0% coverage on this surface.

Google AI Overviews / Brand Recommendation Prompt: "bankruptcy attorney philadelphia" Result: John T. Orcutt received top-three placement at rank two, one of two AI Overviews recommendations in September 2026.

ChatGPT / Brand Recommendation Prompt: "Who is the largest immigration law firm in the world?" Result: No John T. Orcutt presence. Fragomen captured this surface with 62.5% coverage, illustrating the platform gap.

What CiteWorks Studio Would Do Next

Questions This Section Answers

• What phases does CiteWorks Studio recommend for diagnosing John T. Orcutt's August coverage drop and expanding past Google-owned surfaces?

Phase 1: AI Market Discovery Audit Map which prompt clusters return John T. Orcutt on Google surfaces and identify the specific queries where competitor brands displace the firm on assistant platforms.

Phase 2: Recommendation Readiness Plan Diagnose why the firm's August 2026 coverage dropped to 0.0% and whether the September return reflects restored surfacing or a temporary measurement effect.

Phase 3: Owned Answer Layer Buildout Develop owned content that answers direct brand recommendation prompts on ChatGPT, Copilot, Gemini, and Perplexity, mirroring the content patterns that win on AI Mode and AI Overviews.

Phase 4: Citation / Authority Layer Development Build the backlink-supported evidence layer that assistant platforms can retrieve, focusing on the source types that currently surface Fragomen and Sasser Law Firm.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track whether the firm's perfect mention-to-recommendation conversion holds as presence expands beyond Google surfaces.

Why This Matters

AI presence alone is not enough. John T. Orcutt has proven it can win recommendation placement when surfaced, but its entire footprint sits on two Google-owned surfaces while competitors capture the assistant platforms where buyers increasingly ask direct questions. The next move is not broader visibility for its own sake. It is targeted correction of the prompt, page, and citation layers that determine whether the firm becomes retrievable and recommendable across the full AI surface universe.

Core Metrics

Sentiment Score

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

For John T. Orcutt, the calculation is (6 × 1 + 0 × 0 + 0 × -1) / 6 = 1.00.

This matters because unclassified mention counts are misleading. 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, and John T. Orcutt's perfect positive framing is a genuine strength, not an artifact of counting.

Sentiment by Platform

Methodology

1. This report is a company-level AI market strategy readout based on the LLM Authority Index AI Market Discovery benchmark for Immigration Lawyers, 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 those, 300 were relevant and 286 were irrelevant, yielding 79 qualified benchmark observations as the public denominator.
5. The competitor universe includes 19 tracked brands in the Immigration Lawyers category.
6. All qualified observations in September 2026 fell into the Brand Recommendation buyer-intent class. No pricing, value, or multi-brand comparison observations were present in the public set.
7. Stage 0 extraction captured prompt-level observations including query, surface, brand outcome, recommendation placement, sentiment, and citations where exposed.
8. A mention is defined as any qualified observation where the brand appears in the AI response, regardless of whether it 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 listed-only mention.
10. Limitations: The September 2026 qualified set of 79 observations is smaller than the July 2026 set of 93, which affects the sensitivity of percentage movements. John T. Orcutt recorded 6 valid recommendations, a small count that is a valid signal for a niche vertical but should be read alongside absolute counts. The public benchmark does not measure market share, attributable sales, every possible AI response, or causality from metric movement alone. Source presence in observations is evidence about the information environment, not proof that a source caused a recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where John T. Orcutt stands, but not why specific prompts return the firm on Google surfaces while competitors capture assistant platforms. A company-level AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy.