John T. Orcutt AI Visibility Market Strategy Report - Immigration Lawyers

Answer Capsule

John T. Orcutt holds 8.8% valid recommendation coverage in the October 2026 LLM Authority Index Immigration Lawyers benchmark, ranking third in a 19-brand field behind Upsolve at 20.6% and Fragomen at 17.6%. The firm converts nearly all of its limited AI presence into recommendation credit, with a raw mention presence rate of 8.8% and a valid recommendation coverage rate of 8.8%, meaning it is almost never mentioned without being recommended. Its clearest win is a perfect net sentiment score of 1.00 and its first rank-one placements in the series. Its clearest weakness is a narrow presence base that limits total recommendation volume. The biggest opportunity is expanding the firm's footprint beyond AI Mode, the only platform where it currently appears.

Who This Report Is For

This report is written for John T. Orcutt's marketing and business development leadership, managing partners, and anyone responsible for the firm's visibility in AI-generated recommendations across ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.

Report Card

Executive Summary

Questions This Section Answers

• Where does John T. Orcutt rank in the October 2026 Immigration Lawyers benchmark?
• What is the firm's clearest platform-specific strength and its clearest gap?

John T. Orcutt occupies a distinctive position in the October 2026 Immigration Lawyers benchmark. The firm holds 8.8% valid recommendation coverage, tied with Sasser Law Firm for third place in a 19-brand field, behind category leader Upsolve at 20.6% and significant riser Fragomen at 17.6%. The firm recorded 9 valid recommendations from 102 qualified observations, and its raw mention presence rate also stands at 8.8%, meaning every observation in which the firm appears is one in which it receives recommendation credit. This conversion efficiency is the defining feature of its October position.

The firm's net sentiment score of 1.00 is the highest possible reading, reflecting 9 positive mentions and zero neutral or negative mentions across the qualified set. This places John T. Orcutt alongside Sasser Law Firm and Catholic Legal Immigration Network as the only tracked brands with perfect sentiment scores in October 2026. The absence of any cautionary or comparison-anchor framing in the observed responses suggests the firm's public evidence layer is producing clean, recommendation-oriented signals.

Placement quality improved meaningfully against the July 2026 baseline. John T. Orcutt recorded its first rank-one placements in the series, with a recommended rank-one rate of 2.94% in October 2026, up from zero in July 2026. Its recommended top-three rate stands at 6.86%, and its average recommended rank is 2.22, indicating that when the firm enters a recommendation set, it typically lands in the second position.

The firm's coverage gain of 2.3 percentage points against baseline, from 6.5% in July 2026 to 8.8% in October 2026, did not clear the benchmark's significance threshold. However, the movement represents a second consecutive monthly gain and places the firm in a small group of brands showing steady upward momentum. The benchmark classified Fragomen as the only significant riser in the category, with a 13.3-point gain, so John T. Orcutt's improvement sits within normal variation while still reflecting positive directional movement.

The clearest platform signal comes from AI Mode, where John T. Orcutt recorded a 39.1% valid recommendation coverage rate and a 13.0% rank-one rate across 23 observations. This platform-specific strength is substantially higher than the firm's overall coverage rate and suggests that AI Mode's retrieval and synthesis patterns favor the firm's public evidence layer. The firm recorded no presence on ChatGPT, Copilot, Gemini, Perplexity, or AI Overviews in the October qualified set.

The clearest gap is the firm's narrow presence base. With 9 valid recommendations from 102 qualified observations, John T. Orcutt's rates rest on small counts and move meaningfully on a single placement change. The benchmark's qualified observation set covers only the brand recommendation cluster, with no qualified observations in pricing and value or multi-brand comparison classes, so the firm's performance in cost-related or head-to-head comparison prompts remains unmeasured in the public series.

What John T. Orcutt Is Winning

Questions This Section Answers

• Why does John T. Orcutt's mention-to-recommendation conversion matter more than its coverage volume?
• How did the firm's placement quality change in October 2026?

John T. Orcutt's strongest evidence-backed win is its conversion efficiency. The firm's raw mention presence rate of 8.8% and its valid recommendation coverage rate of 8.8% are identical, meaning the firm does not appear in AI responses as a neutral reference, comparison anchor, or cautionary mention. Every observed mention converts to recommendation credit. Among the 19 tracked brands, only Sasser Law Firm and Catholic Legal Immigration Network share this characteristic at comparable presence levels.

The firm's net sentiment score of 1.00 represents the highest possible framing quality. With 9 positive mentions and zero neutral or negative mentions, John T. Orcutt's public evidence layer is producing uniformly favorable signals in the observed responses. This distinguishes it from brands like Boundless Immigration, which holds a net sentiment score of 0.25, and DebtStoppers, which recorded 7 neutral mentions and zero positive mentions.

John T. Orcutt's first rank-one placements in the series represent a meaningful placement quality improvement. The firm recorded 3 rank-one placements in October 2026, up from zero in July 2026, giving it a recommended rank-one rate of 2.94%. While Sasser Law Firm holds a higher rank-one rate at 4.90%, John T. Orcutt's movement from zero to 3 rank-one placements indicates the firm is beginning to occupy the top recommendation slot in a subset of prompts.

The firm's AI Mode performance is its strongest platform-specific signal. Across 23 observations on AI Mode, John T. Orcutt recorded a 39.1% valid recommendation coverage rate, a 30.4% recommended top-three rate, and a 13.0% rank-one rate. These rates are substantially higher than the firm's overall coverage and suggest that AI Mode's answer patterns are particularly receptive to the firm's public evidence layer. The firm's average recommended rank on AI Mode is 2.22, consistent with its overall average.

Where John T. Orcutt Has the Clearest AI Visibility Gaps

Questions This Section Answers

• How does the firm's single-platform presence compare to a competitor like Fragomen?
• What does the absence of pricing and comparison prompt data leave unmeasured for John T. Orcutt?

John T. Orcutt's most significant gap is its absence from five of the six tracked AI platforms in the October qualified set. The firm recorded presence only on AI Mode, with zero mentions on ChatGPT, Copilot, Gemini, Perplexity, and AI Overviews. This platform concentration means the firm's 8.8% overall coverage rate is entirely dependent on a single surface. Fragomen, by contrast, recorded presence across all six platforms, with particularly strong performance on ChatGPT, where it holds a 50.0% valid recommendation coverage rate.

The firm's narrow presence base limits its total recommendation volume. With 9 valid recommendations from 102 qualified observations, John T. Orcutt's rates rest on small counts. A single placement change moves its coverage rate by approximately one percentage point. Sasser Law Firm, which holds identical coverage and valid recommendation counts, recorded 5 rank-one placements compared to John T. Orcutt's 3, giving it a stronger first-position share despite matching overall coverage.

The firm's average recommended rank of 2.22 indicates that when it enters a recommendation set, it typically lands in the second position rather than first. Fragomen, by contrast, converted every top-three placement into first position in October 2026, with a 12.75% rank-one rate matching its 12.75% top-three rate. Upsolve holds the highest valid recommendation coverage at 20.6% but a top-three rate of only 2.94%, meaning most of its recommendations sit outside the top three positions. John T. Orcutt's placement profile sits between these two patterns, with a top-three rate of 6.86% and a rank-one rate of 2.94%.

The benchmark's qualified observation set covers only the brand recommendation cluster. There were no qualified observations in the pricing and value or multi-brand comparison classes in October 2026. This means the firm's performance in cost-related prompts, where buyers often evaluate immigration services, remains unmeasured in the public series. The benchmark cannot currently address how AI systems position John T. Orcutt on price, value, or head-to-head comparison against competitors.

Biggest Opportunity

Questions This Section Answers

• If John T. Orcutt already converts every mention into recommendation credit, what is actually limiting its volume?
• What does the firm's AI Mode performance suggest about where expansion should focus?

John T. Orcutt's clearest path from reference to recommendation is expanding its presence in the brand recommendation cluster across additional AI platforms. The firm currently converts 100% of its mentions into recommendation credit, which means the constraint is not framing quality or recommendation conversion but rather the total number of prompts in which the firm appears. Adding presence on ChatGPT, Copilot, Gemini, Perplexity, and AI Overviews would multiply the firm's recommendation volume without requiring changes to its sentiment or placement profile.

The firm's AI Mode performance provides a template for this expansion. On AI Mode, John T. Orcutt recorded a 39.1% valid recommendation coverage rate, compared to its 8.8% overall rate. If the firm's public evidence layer can be made more retrievable across other platforms in the same way it appears to be retrievable on AI Mode, its overall coverage rate could move substantially. The benchmark's citation data shows that AI systems in this vertical draw from a mix of source types, including government sources, community discussion, and brand-owned domains, which suggests that expanding the firm's owned and earned source footprint could support broader retrievability.

Competitive Landscape

Questions This Section Answers

• How does John T. Orcutt's top-three and rank-one rate compare to Fragomen, Sasser Law Firm, and Upsolve?
• What does the firm's average recommended rank of 2.22 indicate about its placement profile?

Fragomen and Upsolve hold the strongest recommendation-stage positions in the Immigration Lawyers category, with Fragomen showing the most significant baseline-to-current gain and Upsolve maintaining the coverage lead despite a narrowing margin. John T. Orcutt sits in the third position, tied with Sasser Law Firm, with a coverage rate less than half that of the category leader.

Average recommended rank covers rank-eligible recommendations only.

John T. Orcutt's top-three rate of 6.86% places it second in the category, behind Fragomen at 12.75% and ahead of Sasser Law Firm at 5.88%. Its rank-one rate of 2.94% is third, behind Fragomen and Sasser Law Firm. The firm's average recommended rank of 2.22 is higher than Fragomen's 1.00 and Upsolve's 1.00, indicating that when John T. Orcutt enters a recommendation set, it typically lands in the second position rather than first.

Prompt Evidence

AI Mode / Brand Recommendation Prompt: "Who is the best immigration lawyer in the USA?" Result: John T. Orcutt appeared in the recommendation set with a rank-one placement, contributing to its 13.0% rank-one rate on AI Mode.

AI Mode / Brand Recommendation Prompt: "What is the best immigration law firm in the USA?" Result: John T. Orcutt received a valid recommendation with a top-three placement, consistent with its 30.4% recommended top-three rate on AI Mode.

ChatGPT / Brand Recommendation Prompt: "Who is the largest immigration law firm in the world?" Result: John T. Orcutt did not appear in the response, consistent with its zero presence on ChatGPT in the October qualified set.

Copilot / Brand Recommendation Prompt: "immigration lawyer frisco" Result: John T. Orcutt did not appear in the response, consistent with its zero presence on Copilot in the October qualified set.

What CiteWorks Studio Would Do Next

Questions This Section Answers

• What prompt and platform gaps would the first phase of an audit target for John T. Orcutt?
• How would the recommended source and citation layers extend the firm's AI Mode retrievability to other platforms?

Phase 1: AI Visibility Market Discovery Audit Map the specific prompts where John T. Orcutt appears on AI Mode and identify which prompts return competitors on ChatGPT, Copilot, Gemini, Perplexity, and AI Overviews without surfacing the firm.

Phase 2: Recommendation Readiness Plan Prioritize the platform gaps where the firm's conversion efficiency can be replicated, focusing on the source types and evidence patterns that AI Mode appears to retrieve.

Phase 3: Owned Answer Layer Buildout Develop firm-owned content that directly addresses the high-intent brand recommendation prompts in the benchmark, with clear, extractable answers that AI systems can retrieve and synthesize.

Phase 4: Citation / Authority Layer Development Expand the firm's public evidence layer across the source types that AI systems cite in this vertical, including government sources, community discussion, and brand-owned domains.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track the firm's presence, recommendation coverage, placement, and sentiment across all six platforms to measure whether expanded retrievability converts to broader recommendation coverage.

Why This Matters

AI presence alone is not enough. John T. Orcutt's 8.8% valid recommendation coverage and 8.8% raw mention presence rate show that the firm converts every mention into recommendation credit, but its narrow presence base limits total recommendation volume. The firm appears on only one of six tracked platforms, which means its current position depends entirely on AI Mode's retrieval patterns. Expanding to additional platforms requires targeted correction of the prompt, page, and citation layers that determine whether AI systems surface the firm in the first place.

The benchmark's citation data shows that AI systems in this vertical draw from a moderately concentrated set of sources, with the top domain accounting for just 9.3% of all citations. This suggests that the information environment is not dominated by a single source type, and that brands with well-structured public evidence layers can achieve retrievability across multiple platforms. John T. Orcutt's AI Mode performance demonstrates that its evidence layer is already retrievable in at least one context. The next move is extending that retrievability to the platforms where the firm currently has no presence.

Core Metrics

Sentiment Score

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

John T. Orcutt's sentiment score for October 2026 is 1.00, calculated from 9 positive mentions, 0 neutral mentions, and 0 negative mentions across 9 total mentions.

This score matters because unclassified mention counts are misleading. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. John T. Orcutt's perfect sentiment score indicates that its public evidence layer is producing uniformly favorable framing in the observed responses, with no cautionary or comparison-anchor mentions diluting its recommendation credit.

Share of voice is a diagnostic metric, not a business KPI. The firm's 8.8% raw mention presence rate and 8.8% valid recommendation coverage rate are identical, which means the firm does not appear in AI responses as a neutral reference or comparison anchor. Every observed mention converts to recommendation credit. This conversion efficiency is the firm's strongest signal, but it also means the firm's total recommendation volume is constrained by its narrow presence base. Classified sentiment is required before interpreting AI visibility, and John T. Orcutt's classification profile is the cleanest in the category.

Sentiment by Platform

Methodology

1. Report orientation: This is a benchmark-based analysis of John T. Orcutt's AI recommendation visibility in the Immigration Lawyers category, produced by CiteWorks Studio using data from the LLM Authority Index AI Visibility Market Discovery Index. It is not a client implementation case study.
2. Reporting window: October 2026, with comparison to the July 2026 baseline and intermediate months (August 2026, September 2026) where relevant.
3. Platforms tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six surface families had at least one qualified observation in the October 2026 benchmark.
4. Observation count: The October 2026 benchmark began with 565 prompt-surface observations and 368 unique questions. After qualification, 102 observations formed the public denominator for all brand-level metrics.
5. Competitor universe: 19 brands were tracked in the October 2026 benchmark, including John T. Orcutt, Upsolve, Fragomen, Sasser Law Firm, Boundless Immigration, Catholic Legal Immigration Network, Allmand Law, Cibik Law, Pollak PLLC, Berardi Immigration Law, Curbelo Law, DebtStoppers, Fears Nachawati, Herman Legal Group, Heupel Law, Reeves Immigration Law Group, Scott Legal, SimpleCitizen, and Tully Rinckey.
6. Public clusters used: All 102 qualified observations fell into the Brand Recommendation buyer-intent class. There were no qualified observations in the Pricing & Value or Multi-Brand Comparison classes in October 2026.
7. Stage 0 role: The benchmark retains prompt-level observations that include the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment and is not automatically proof that the source caused the recommendation.
8. Definition of a mention: A mention is counted when a tracked brand appears in an AI response, regardless of whether the brand is recommended. Raw mention presence rate is the share of qualified observations where the brand is mentioned.
9. Definition of a valid recommendation: A valid recommendation is counted when a tracked brand receives a qualifying recommendation in an AI response. Valid recommendation coverage is the share of qualified observations where the brand receives a qualifying recommendation. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations unless the dataset explicitly marks them as valid recommendations.
10. Ranking interpretation: Recommended top-three rate is the share of qualified observations where the brand appears in the first three recommendation positions. Recommended rank-one rate is the share of qualified observations where the brand is the first recommendation. Average recommended rank is the average position when the brand receives valid rank credit.
11. Limitations: The October 2026 qualified set of 102 observations is the largest of the series. Brand-level rates should be read alongside their absolute valid recommendation counts. John T. Orcutt's 9 valid recommendations rest on small counts and move meaningfully on a single placement change. The benchmark records the change in AI recommendation coverage and does not establish why a change occurred. The public benchmark does not include market share, revenue, sales, conversions, organic-search ranking, paid-search position, social mention volume, or private channel data.
12. Dataset note: The benchmark's cluster taxonomy includes three clusters (C01, C02, C03), but only C01 had sufficient coverage for metrics in October 2026. C02 and C03 returned no data. The cluster labels reference bankruptcy and debt relief terminology, which appears to be a taxonomy artifact from a related vertical. The qualified observations in this report cover immigration lawyer recommendation prompts.

See How AI Is Recommending Your Brand

The public benchmark shows where John T. Orcutt stands in AI-generated recommendations across the Immigration Lawyers category. A company-level AI visibility audit maps the specific prompts, platforms, competitors, and evidence sources that determine whether the firm appears in AI recommendations. The audit identifies which high-intent prompts return the firm as a top answer, which competitors take the recommendation when the firm loses, and which source patterns AI systems retrieve in this vertical.