Tully Rinckey AI Visibility Market Strategy Report - Immigration Lawyers

Answer Capsule

Tully Rinckey holds no measurable AI recommendation presence in the October 2026 LLM Authority Index Immigration Lawyers benchmark. Across 102 qualified observations and six AI platforms, the firm recorded zero mentions, zero valid recommendations, and zero top-three placements. The clearest weakness is total absence from the recommendation set while competitors like Upsolve and Fragomen capture the category's AI-driven buyer shortlists. The clearest opportunity is that the category's recommendation layer is still concentrated among a small number of brands, leaving room for a firm with established traditional search authority to enter the AI answer set.

Who This Report Is For

This report is for Tully Rinckey's marketing, business development, and firm leadership teams, and for any immigration law practice evaluating why some firms appear in AI-generated recommendations while others remain invisible.

Report Card

Executive Summary

Tully Rinckey does not appear in the October 2026 LLM Authority Index Immigration Lawyers benchmark. Across 102 qualified observations drawn from 565 prompt-surface observations and 368 unique questions, the firm recorded zero raw mentions, zero valid recommendations, zero top-three placements, and zero rank-one placements. Its net sentiment score is 0.00, reflecting the absence of any classified mention rather than a neutral or negative framing.

The benchmark's recommendation layer is concentrated at the top. Upsolve leads with 20.6% valid recommendation coverage, followed by Fragomen at 17.6%, John T. Orcutt at 8.8%, and Sasser Law Firm at 8.8%. These four brands account for the overwhelming majority of recommendation credit in the category. Below them, a long tail of firms holds single-digit or zero coverage, and Tully Rinckey sits in the zero-coverage group alongside Curbelo Law, Fears Nachawati, Heupel Law, Reeves Immigration Law Group, Scott Legal, and SimpleCitizen.

The category's recommendation-shaped answer share rose from 23.7% in July 2026 to 31.4% in October 2026, and the valid recommendation shortlist share moved from 25.8% to 33.3%. This means AI systems are increasingly producing recommendation-style answers in this vertical, and the brands that appear in those answers are capturing a growing share of buyer attention at the decision moment.

Fragomen's 13.3-point gain in valid recommendation coverage since July 2026 shows that the recommendation set is not fixed. A brand can move from near-absence to strong presence within a single measurement series. Tully Rinckey's absence is therefore a current-state finding, not a permanent condition.

The benchmark's citation layer shows that AI systems in this vertical draw from a mix of government sources, community discussion, and brand-owned domains. Four tracked brands' own domains appear in the top 10 cited domains: boundless.com at rank 2, debtstoppers.com at rank 5, fragomen.com at rank 6, upsolve.org at rank 8, and simplecitizen.com at rank 9. Tully Rinckey's domain does not appear in the top 10, which suggests the firm's public evidence layer is not yet surfacing in AI-cited sources for this category.

The clearest gap is not a weak position but an absent one. Tully Rinckey is not being mentioned, not being recommended, and not being cited in the qualified observation set. The clearest opportunity is to build the prompt, page, and citation layers that would allow the firm to enter the recommendation set in a category where the leadership cluster is narrow and the rest of the field is still forming.

What Tully Rinckey Is Winning

The October 2026 benchmark does not record any measurable AI visibility wins for Tully Rinckey. The firm has zero mentions, zero valid recommendations, zero top-three placements, and zero rank-one placements across 102 qualified observations.

This is a plain finding, not a soft one. Tully Rinckey is absent from the AI recommendation layer in this category for the October 2026 measurement period. No cluster, platform, or prompt type produced a mention or recommendation for the firm.

The absence of negative sentiment is not a win in itself. A net sentiment score of 0.00 in this context reflects zero classified mentions, not neutral or positive framing. The firm is not being discussed, recommended, or cited in the qualified observation set.

Where Tully Rinckey Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Where does Tully Rinckey's absence show up most sharply compared with the category's leadership cluster?
• Why is the citation-layer gap significant for an immigration law firm trying to enter AI-generated answers?

Tully Rinckey's clearest gap is total absence from the recommendation set. The firm does not appear in any of the 102 qualified observations, which means it is not part of the buyer shortlist that AI systems are generating for immigration law queries in this category.

The gap is sharpest when compared to the category's leadership cluster. Upsolve holds 20.6% valid recommendation coverage and 46.1% raw mention presence. Fragomen holds 17.6% coverage and 27.5% presence. John T. Orcutt and Sasser Law Firm each hold 8.8% coverage and 8.8% presence. These brands are being named, recommended, and placed in AI-generated answers. Tully Rinckey is not.

The gap extends to the citation layer. Four tracked brands' own domains appear in the top 10 cited domains for this category: boundless.com, debtstoppers.com, fragomen.com, upsolve.org, and simplecitizen.com. Tully Rinckey's domain does not appear in the top 10. This suggests the firm's public evidence layer is not yet part of the source footprint that AI systems are retrieving or synthesizing from in this vertical.

The gap also extends to platform coverage. The benchmark tracks six AI platforms: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. Tully Rinckey recorded zero mentions on all six. Competitors like Fragomen recorded presence on five platforms, and Upsolve recorded presence on five platforms. The firm is not visible on any tracked platform in the qualified observation set.

The gap is not explained by a small sample. The October 2026 benchmark is the largest of the series, with 102 qualified observations. The firm's absence is consistent across the full set.

Biggest Opportunity

Questions This Section Answers

• Which high-intent prompt cluster gives Tully Rinckey the clearest path into the AI recommendation set?
• What does Fragomen's movement from 4.3% to 17.6% coverage indicate about whether an immigration law firm can enter the recommendation layer?

Tully Rinckey's biggest opportunity is to enter the AI recommendation set in a category where the leadership cluster is narrow and the rest of the field is still forming. The benchmark shows that only four brands hold more than 2% valid recommendation coverage. Below that threshold, a long tail of firms holds single-digit or zero coverage. This means the recommendation layer is not saturated. A firm with established traditional search authority and a clear public evidence layer can still enter the set.

The path from reference to recommendation in this category runs through the brand recommendation cluster, which is the only active buyer-intent class in the October 2026 benchmark. All 102 qualified observations fell into this class. The prompts in this cluster include direct requests for the best immigration lawyer, the largest immigration law firm, and the best immigration law firm in the USA. These are high-intent prompts where a recommendation translates directly into buyer consideration.

Tully Rinckey's opportunity is to build the prompt, page, and citation layers that would allow the firm to appear in AI-generated answers for these high-intent queries. The benchmark shows that Fragomen moved from 4.3% coverage in July 2026 to 17.6% in October 2026, a 13.3-point gain. This movement shows that the recommendation set is responsive to changes in the public evidence layer. Tully Rinckey can pursue a similar path.

Competitive Landscape

Questions This Section Answers

• Which immigration law firms lead the AI recommendation set in October 2026, and how separated are the top tiers?
• What does Tully Rinckey's zero top-three rate and zero rank-one rate show about its position against the tracked competitor set?

Upsolve and Fragomen hold the strongest recommendation-stage positions in the October 2026 Immigration Lawyers benchmark, with John T. Orcutt and Sasser Law Firm forming a second tier. Tully Rinckey sits outside the recommendation set entirely, with zero valid recommendations and zero top-three placements across 102 qualified observations.

Average recommended rank covers rank-eligible recommendations only.

Tully Rinckey's row shows zero top-three rate, zero rank-one rate, and no rank-eligible recommendations. The firm is one of nine brands in the tracked set with no recommendation credit in October 2026. Fragomen's 12.75% top-three rate and 12.75% rank-one rate show that the category's leading challenger converts nearly all of its top-three placements into first position. Upsolve's 2.94% top-three rate against its 20.6% valid recommendation coverage shows that coverage and placement quality are separate signals. Tully Rinckey has neither coverage nor placement in the current measurement.

Prompt Evidence

ChatGPT / Brand Recommendation Prompt: "Who is the best immigration lawyer in the USA?" Result: No mention or recommendation for Tully Rinckey. The response surfaced brands from the category's recommendation set.

Copilot / Brand Recommendation Prompt: "What is the best immigration law firm in the USA?" Result: No mention or recommendation for Tully Rinckey. The response drew from the category's established recommendation layer.

Gemini / Brand Recommendation Prompt: "Who is the largest immigration law firm in the world?" Result: No mention or recommendation for Tully Rinckey. The response reflected the category's current recommendation concentration.

Perplexity / Brand Recommendation Prompt: "best immigration law firm in usa" Result: No mention or recommendation for Tully Rinckey. The response surfaced brands with established AI recommendation presence.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the specific prompts, platforms, and competitor displacement patterns where Tully Rinckey is absent, and identify which high-intent queries are producing recommendation-style answers in the immigration law category.

Phase 2: Recommendation Readiness Plan Define the firm's target prompt clusters, priority platforms, and the recommendation outcomes the firm needs to enter the buyer shortlist for immigration law queries.

Phase 3: Owned Answer Layer Buildout Develop the firm's owned pages, practice-area content, and structured answer assets that AI systems can retrieve and synthesize when generating immigration law recommendations.

Phase 4: Citation / Authority Layer Development Build the public evidence layer, including third-party citations, directory presence, and source pages, that AI systems draw from when forming recommendations in this vertical.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track the firm's presence, recommendation coverage, placement, and sentiment across ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode on a monthly basis.

Why This Matters

Questions This Section Answers

• Why does the rise in recommendation-shaped answers for immigration law queries matter for firms absent from the shortlist?
• What consequence does Tully Rinckey's absence from the recommendation set have at the buyer decision moment?

AI systems are increasingly producing recommendation-style answers for immigration law queries. The benchmark shows that the recommendation-shaped answer share in this category rose from 23.7% in July 2026 to 31.4% in October 2026. This means a growing share of buyer questions are being answered with a shortlist of recommended firms.

Tully Rinckey's absence from the recommendation set means the firm is not part of that shortlist. Buyers who ask AI systems for immigration law recommendations are not seeing Tully Rinckey in the response. The next move is targeted correction of the prompt, page, and citation layers that determine which firms AI systems recommend.

Core Metrics

Sentiment Score

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

Tully Rinckey's sentiment score is 0.0000, calculated from zero positive mentions, zero neutral mentions, and zero negative mentions across zero total mentions. This score reflects the absence of any classified mention, not a neutral or balanced framing.

This matters because unclassified mention counts are misleading. A firm with zero mentions and a firm with equal positive and negative mentions both produce a sentiment score of zero, but the underlying situations are completely different. Tully Rinckey's zero score means the firm is not being discussed at all in the qualified observation set.

Share of voice is a diagnostic metric, not a business KPI. 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. Classified sentiment is required before interpreting AI visibility, and in Tully Rinckey's case, there is no sentiment to classify because there are no mentions.

Sentiment by Platform

Methodology

1. Report orientation: This is a benchmark-based AI market strategy report for Tully Rinckey in the Immigration Lawyers category, derived from the October 2026 LLM Authority Index measurement period.
2. Reporting window: The October 2026 measurement period, with baseline comparisons to July 2026, August 2026, and September 2026 where available.
3. Platforms tracked: Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
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 Immigration Lawyers category, including Tully Rinckey.
6. Public clusters used: One buyer-intent cluster was active in October 2026: Brand Recommendation (C01). The pricing and value and multi-brand comparison clusters contained no qualified observations.
7. Stage 0 role: Stage 0 extraction produced the raw prompt-surface observations, brand mentions, relevance classifications, and qualified observation set used in this report.
8. Definition of a mention: A mention is a qualified observation where the brand appears in the AI response, regardless of recommendation status.
9. Definition of a valid recommendation: A valid recommendation is a qualified observation where the brand receives a qualifying recommendation, as marked by the dataset. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
10. Limitations: The benchmark measures brand recommendation discovery only. It does not measure pricing, multi-brand comparison, or other buyer-intent classes in the current public series. The benchmark records changes in AI recommendation coverage but does not establish why those changes occurred. Source presence in the observations is not automatically treated as proof of causation.
11. Ranking interpretation: Average recommended rank covers rank-eligible recommendations only. Brands with no rank-eligible recommendations are shown with an em dash in the competitive landscape table.
12. Dataset note: 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. Tully Rinckey recorded zero valid recommendations, so no rate calculation applies.

See How AI Is Recommending Your Brand

The public benchmark shows where Tully Rinckey stands in the Immigration Lawyers category. A company-level AI visibility audit maps the specific prompts, platforms, competitor displacement patterns, and citation sources that determine whether your firm enters the AI-generated buyer shortlist.