Upsolve AI Visibility Market Strategy Report - Immigration Lawyers

Answer Capsule

Upsolve leads the October 2026 LLM Authority Index Immigration Lawyers benchmark with 20.6% valid recommendation coverage, ahead of Fragomen at 17.6%, a gap of 3.0 percentage points. The benchmark shows Upsolve holds the strongest raw mention presence in the category at 46.1%, but its top-three recommendation rate sits at just 2.9%, meaning most of its recommendations land outside the first three positions. The clearest win is category leadership on coverage and the highest valid recommendation count at 21. The clearest weakness is a wide gap between presence and recommendation placement, and the clearest opportunity is converting that presence into top-three and rank-one positions before Fragomen closes the remaining margin.

Who This Report Is For

This report is for Upsolve's marketing, growth, and communications leadership, and for any team responsible for how the brand is described and recommended across AI search surfaces in the immigration and legal services category.

Report Card

Executive Summary

Upsolve enters October 2026 as the category leader in the LLM Authority Index Immigration Lawyers benchmark, holding 20.6% valid recommendation coverage against Fragomen's 17.6%. That 3.0-point margin is the narrowest of the series, down from a 24.7-point lead in July 2026, and it reflects compression at the top of the category rather than a collapse in Upsolve's position.

The benchmark shows Upsolve with the highest raw mention presence in the category at 46.1%, appearing in 47 of 102 qualified observations. Of those mentions, 38 were classified positive, 9 neutral, and 0 negative, producing a net sentiment score of 0.8085. The brand recorded 21 valid recommendations in October, the highest count in the series.

The gap between presence and recommendation placement is the defining feature of Upsolve's October position. The brand holds a top-three rate of 2.9% and a rank-one rate of 2.9%, meaning it wins a first-position placement in fewer than three percent of qualified observations despite appearing in nearly half of them. Fragomen, by contrast, converted every one of its top-three placements into first position, with a 12.8% rank-one rate against 17.6% coverage.

The strongest cluster signal for Upsolve sits in the brand recommendation class of discovery, where all 102 qualified observations were recorded. The benchmark does not yet contain qualified observations in the pricing and value or multi-brand comparison classes, so Upsolve's performance on cost and head-to-head comparison questions remains unmeasured in the public set.

The strongest platform signal for Upsolve is Copilot, where the brand recorded 9 valid recommendations and a 31.0% valid recommendation coverage rate. Gemini also shows meaningful presence, with 6 valid recommendations and a 26.1% coverage rate, though neither platform returned a top-three placement for the brand.

The clearest platform gap is Google AI Overviews, where Upsolve recorded 1 valid recommendation and no top-three or rank-one placements. The clearest cluster gap is the absence of qualified observations in the pricing and comparison classes, which the benchmark flags as an open measurement area for the category.

What Upsolve Is Winning

Questions This Section Answers

• Where does Upsolve lead the immigration lawyers category in valid recommendation coverage?
• Which AI platforms show the strongest recommendation behavior for Upsolve?
• What does Upsolve's sentiment profile look like across its AI mentions?

Upsolve holds the category lead in valid recommendation coverage at 20.6%, ahead of Fragomen at 17.6%. The brand recorded 21 valid recommendations in October, the highest count in the series, and its raw mention presence of 46.1% is the strongest in the category.

The brand's sentiment profile is clean. Across 47 mentions, Upsolve recorded 38 positive, 9 neutral, and 0 negative classifications, producing a net sentiment score of 0.8085. No negative framing appeared in the qualified set.

Upsolve's strongest platform by recommendation behavior is Copilot, where it recorded 9 valid recommendations and a 31.0% valid recommendation coverage rate. Gemini follows with 6 valid recommendations and a 26.1% coverage rate. On Perplexity, the brand recorded 1 valid recommendation at rank one, giving it a 14.3% rank-one rate on that platform.

The brand also holds the highest raw mention presence rate in the category at 46.1%, which indicates that AI systems surface Upsolve frequently when immigration and legal services questions are asked. That presence is a foundation the brand can build on, even though it has not yet converted into proportional top-three placement.

Where Upsolve Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why does Upsolve's 20.6% coverage translate into only a 2.9% top-three rate?
• How has Upsolve's top-three and rank-one rate changed since the July 2026 baseline?
• Which platforms show the widest gap between Upsolve's recommendations and first-position placements?

The central gap is recommendation placement. Upsolve holds 20.6% valid recommendation coverage but a top-three rate of only 2.9%, meaning most of its recommendations sit outside the first three positions. Fragomen, with lower coverage at 17.6%, holds a 12.8% top-three rate and a matching 12.8% rank-one rate. The benchmark shows that similar coverage can still hide very different first-position rates.

The gap has widened against baseline. Upsolve's top-three rate fell from 16.1% in July 2026 to 2.9% in October 2026, and its rank-one rate fell from 12.9% to 2.9% over the same period. Both declines cleared the significance threshold. The brand remains visible across nearly half of qualified observations while winning a top-three placement in fewer than three percent.

Platform-level gaps reinforce the pattern. On Copilot, Upsolve recorded 9 valid recommendations but no top-three or rank-one placements. On Gemini, it recorded 6 valid recommendations with the same result. On Google AI Overviews, it recorded 1 valid recommendation and no top-three placement. The brand's recommendation credit is concentrated in positions outside the first three across every platform where it appears.

The benchmark also shows that Upsolve's coverage lead has narrowed sharply. The brand held a 24.7-point lead over Fragomen in July 2026 and now holds a 3.0-point lead. Fragomen's rise from 4.3% to 17.6% coverage over the same period represents the strongest single-brand repositioning in the series, and it has closed most of the gap.

Biggest Opportunity

The clearest opportunity for Upsolve is converting its category-leading presence into top-three and rank-one recommendation placements. The brand appears in 46.1% of qualified observations but wins a top-three placement in only 2.9%. Closing that gap would allow Upsolve to defend its coverage lead against Fragomen's continued rise and to capture the first-position placements that currently route to competitors.

The benchmark identifies the highest-priority diagnostic for Upsolve as which prompt clusters surface the brand as a mention without returning it as a top-three recommendation, and which brands occupy the top slots in those answers. That diagnostic points directly to the opportunity: the brand's presence is not the constraint, its placement is.

Competitive Landscape

Questions This Section Answers

• Which immigration lawyers brands convert the highest share of placements into first position?
• Where does Upsolve rank on top-three rate compared to Fragomen and the wider field?
• What separates Fragomen's placement profile from Upsolve's despite similar coverage?

Upsolve leads the category on valid recommendation coverage, but Fragomen holds the stronger placement profile and has closed most of the coverage gap since July 2026. The table below shows where each tracked brand sits on recommendation-stage strength in October 2026.

Average recommended rank covers rank-eligible recommendations only.

Upsolve sits fourth on top-three rate despite leading the category on valid recommendation coverage, which shows that its recommendation credit is concentrated outside the first three positions. Fragomen holds the strongest placement profile in the category, converting every top-three placement into first position.

AI Response Inconsistency Alerts

Questions This Section Answers

• What conflicting claims did ChatGPT and Copilot make about Upsolve's legal service classification?
• How do the platforms disagree on the $10,000 minimum debt requirement?
• Why do these conflicts matter for prospective users evaluating Upsolve?

Two critical or high-severity factual inconsistencies were detected for Upsolve across two AI platforms, ChatGPT and Copilot. Both conflicts carry high confidence and concern how the brand's service model and eligibility criteria are described.

The first conflict concerns legal service classification. When asked whether Upsolve is considered a legal service, Copilot stated that Upsolve is not considered a legal service, citing Upsolve's own frequently asked questions page and impact page. ChatGPT stated that Upsolve is generally considered a legal service, describing it as a legal-aid or self-help legal service, citing Upsolve's homepage and a help center article. The two classifications are incompatible descriptions of the same organization. The flagged source material includes Upsolve's help center article stating that Upsolve is a legal aid nonprofit that helps low-income Americans get Chapter 7 bankruptcy relief without an attorney, and the impact page describing Upsolve as the largest bankruptcy nonprofit.

The second conflict concerns the minimum debt requirement. When asked what disqualifies someone from using Upsolve, ChatGPT stated that Upsolve generally is not a good fit when a user has less than $10,000 in dischargeable debt, while noting there is no legal minimum debt amount for bankruptcy itself. Copilot stated that Upsolve requires at least $10,000 in unsecured debt to use its free filing tool and that users owing less will not qualify through the platform. The two answers differ on whether the figure is a general fit guideline or a strict eligibility requirement. Both platforms cited Upsolve's own pages, including the article on minimum debt requirements for Chapter 7 bankruptcy, which states that there is no debt minimum or limit for filing Chapter 7 bankruptcy but that users must have at least $10,000 in unsecured debt to be eligible to use Upsolve's free filing tool.

These conflicts matter because they concern the brand's core service description and eligibility criteria, the two pieces of information a prospective user is most likely to ask an AI platform before deciding whether to engage. When AI platforms provide conflicting information about what a brand does and who can use it, the brand's public evidence layer is not resolving the question consistently.

Prompt Evidence

Copilot / Brand Recommendation Prompt: "Is Upsolve considered a legal service?" Result: Copilot stated that Upsolve is not considered a legal service, while ChatGPT stated that it is generally considered a legal-aid or self-help legal service, producing a high-severity factual conflict.

ChatGPT / Brand Recommendation Prompt: "What disqualifies you from using Upsolve?" Result: ChatGPT described the $10,000 debt figure as a general fit guideline with no hard minimum, while Copilot described it as a strict requirement, producing a high-severity eligibility conflict.

Gemini / Brand Recommendation Prompt: "Who is the best immigration lawyer in the USA?" Result: Upsolve recorded 6 valid recommendations on Gemini with a 26.1% coverage rate, but no top-three or rank-one placements, reflecting the brand's pattern of presence without first-position conversion.

Google AI Overviews / Brand Recommendation Prompt: "What is the best immigration law firm in the USA?" Result: Upsolve recorded 1 valid recommendation on Google AI Overviews with no top-three or rank-one placement, the weakest platform signal in the brand's October profile.

What CiteWorks Studio Would Do Next

Questions This Section Answers

• Which prompt clusters and platforms would the recommendation readiness plan prioritize for Upsolve?
• What would the owned answer layer buildout address about Upsolve's legal service classification and minimum debt eligibility?

Phase 1: AI Visibility Market Discovery Audit Map the prompt clusters where Upsolve appears as a mention without returning as a top-three recommendation, and identify which brands occupy the top slots in those answers.

Phase 2: Recommendation Readiness Plan Prioritize the clusters and platforms where Upsolve's presence is highest but its placement is weakest, starting with Copilot and Gemini, where the brand records valid recommendations but no top-three placements.

Phase 3: Owned Answer Layer Buildout Strengthen the brand's owned pages so that AI systems can resolve the legal service classification and minimum debt eligibility questions consistently, addressing the two high-severity conflicts detected across ChatGPT and Copilot.

Phase 4: Citation / Authority Layer Development Develop the public evidence layer that AI systems draw on when forming recommendations, including the source types that appear in the category's most-cited domains.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Upsolve's coverage, top-three rate, rank-one rate, and sentiment month over month against Fragomen and the wider field, with attention to whether the placement gap narrows.

Why This Matters

Upsolve leads the category on coverage and presence, but the benchmark shows that presence alone does not determine which brand a buyer sees first. The brand appears in nearly half of qualified observations yet wins a first-position placement in fewer than three percent. Fragomen, with lower coverage, converts every top-three placement into first position. At the decision moment, the brand that occupies the top slot is the one a buyer is most likely to act on.

The next move is targeted correction of the prompt, page, and citation layers. The two high-severity conflicts detected across ChatGPT and Copilot show that the brand's public evidence layer is not resolving basic questions about what Upsolve does and who can use it. Resolving those conflicts and closing the placement gap are the two levers most likely to protect Upsolve's category lead as Fragomen continues to rise.

Core Metrics

Sentiment Score

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

For Upsolve in October 2026, that calculation is (38 × 1 + 9 × 0 + 0 × -1) / 47, which produces a net sentiment score of 0.8085.

This matters because unclassified mention counts are misleading. A brand can appear frequently in AI responses without any of those appearances helping a buyer choose it. 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, and counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because it separates the mentions that support a buying decision from the mentions that simply describe a brand.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Upsolve's position in the LLM Authority Index Immigration Lawyers benchmark for October 2026. It is not a client implementation case study and does not describe work performed by CiteWorks Studio.
2. The reporting window is October 2026, with baseline comparisons drawn from July 2026 and intermediate months from August and September 2026.
3. Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six had at least one qualified observation in October 2026.
4. The October 2026 run began with 565 prompt-surface observations and 368 unique questions. Of those, 564 mentioned a tracked brand or competitor, 311 were relevant, and 253 were irrelevant. The public metrics use the 102 observations that survived both qualification stages.
5. The competitor universe contains 19 tracked brands, including Upsolve.
6. Three public high-intent clusters are defined for the category. Only the Brand Recommendation cluster (C01) contained qualified observations in October 2026. The pricing and value and multi-brand comparison clusters returned no qualified observations.
7. Stage 0 extraction retains 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 a recommendation.
8. A mention is counted when a tracked brand appears in an AI response, regardless of whether it is recommended. Upsolve recorded 47 mentions across 102 qualified observations.
9. A valid recommendation is counted when a brand receives a qualifying recommendation in a response. Upsolve recorded 21 valid recommendations. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
10. Top-three and rank-one rates are calculated against the 102 qualified observations. Upsolve's top-three rate and rank-one rate both stand at 2.94%.
11. The benchmark records the change in AI recommendation coverage. It does not, by itself, establish why a change occurred. Movements described in this report are measured against the July 2026 baseline unless otherwise noted.
12. Limitations: the October 2026 qualified set of 102 observations is the largest of the series, which affects the sensitivity of percentage movements relative to the smaller August and September sets. Brand-level rates should be read alongside their absolute valid recommendation counts. The public benchmark does not measure market share, revenue, sales, conversions, organic-search ranking, paid-search position, or social mention volume.

See How AI Is Recommending Your Brand

The public benchmark shows where Upsolve stands in AI recommendations across the immigration lawyers category. A company-level AI visibility audit maps the prompt, surface, competitor, ranking, sentiment, and evidence-source patterns behind those standings into a prioritized visibility strategy, including the prompt clusters where Upsolve appears without winning a top-three placement and the source pages that shape how AI platforms describe the brand.