Jan Dils Attorneys AI Visibility Market Strategy Report - Workers Compensation Lawyers

Answer Capsule

Jan Dils Attorneys holds minimal AI recommendation presence in the Workers Compensation Lawyers category for October 2026, recording 1 valid recommendation across 206 qualified observations. The firm's valid recommendation coverage of 0.49% places it seventh among ten tracked brands, with no top-three or rank-one placements. The clearest win is a single positive recommendation at an average rank of 4, indicating the firm can surface when prompts align with its geographic and practice scope. The clearest weakness is the absence of any top-three or first-position recommendation, meaning the firm is visible but not being shortlisted. The clearest opportunity is expanding recommendation coverage within the Brand Recommendation cluster, where all qualified observations in this benchmark currently sit.

Who This Report Is For

This report is for Jan Dils Attorneys leadership, marketing teams, and business development stakeholders evaluating how the firm appears in AI-generated recommendations for workers compensation legal services. It is also relevant for competitive intelligence teams tracking AI-led discovery patterns in the legal category.

Report Card

Executive Summary

Jan Dils Attorneys registered 1 valid recommendation across 206 qualified observations in October 2026, producing a valid recommendation coverage rate of 0.49%. The firm recorded 1 raw mention, 1 positive mention, and 0 neutral or negative mentions, yielding a net sentiment score of 1.00. This places Jan Dils Attorneys seventh in the ten-brand competitive set, tied with Gerber & Holder on coverage but with a lower average recommended rank.

The firm's single recommendation appeared at an average rank of 4, meaning it was not among the top three options in any qualified observation. Jan Dils Attorneys recorded 0 top-three recommendations and 0 rank-one recommendations, indicating that when the firm does surface, it is not being positioned as a primary or secondary choice.

The strongest platform signal for Jan Dils Attorneys is Google AI Overviews, where the firm recorded its single valid recommendation. The firm showed no presence on ChatGPT, Copilot, Gemini, Perplexity, or Google AI Mode in the qualified observation set. This platform concentration suggests the firm's visibility is narrow and dependent on a single surface.

The benchmark's only qualified cluster is Brand Recommendation, which captures prompts seeking direct recommendations for workers compensation lawyers. Jan Dils Attorneys' 0.49% coverage within this cluster places it well below the category leader, Morgan & Morgan, which holds 47.57% coverage. The gap to the category leader is 47.08 percentage points.

The clearest gap for Jan Dils Attorneys is the absence of top-three and rank-one placements. While the firm achieved one valid recommendation, it did not convert that presence into shortlist-level positioning. Competitors including Hensley Legal Group and Klezmer Maudlin recorded top-three rates of 2.43% and 0.97% respectively, demonstrating that even small-count brands can achieve higher placement quality.

The category-level context shows that recommendation concentration is high. Morgan & Morgan holds 47.57% valid recommendation coverage, while every other tracked brand sits at or below 12.14%. Jan Dils Attorneys operates in the compressed field below the leader, where small changes in absolute recommendation counts can produce large percentage movements.

What Jan Dils Attorneys Is Winning

Questions This Section Answers

• What does the firm's sentiment profile show about how it is framed when it appears in AI responses?
• Which platform produced Jan Dils Attorneys' only valid recommendation?
• What does the firm's average recommended rank of 4 indicate about where it lands in a recommendation set?

Jan Dils Attorneys' clearest win is its positive sentiment profile. The firm recorded 1 positive mention and 0 negative mentions, producing a net sentiment score of 1.00. This indicates that when the firm does appear in AI responses, the framing is uniformly positive.

The firm's single valid recommendation appeared on Google AI Overviews, a platform that surfaces in search-adjacent contexts. This suggests the firm's public evidence layer is retrievable by Google's AI systems, even if that retrievability has not yet translated into broader recommendation coverage.

Jan Dils Attorneys recorded no negative mentions across any platform, which distinguishes it from brands that appear in cautionary or comparison-anchor contexts. The absence of negative framing is a baseline strength, though it should be read alongside the firm's very low mention volume.

The firm's average recommended rank of 4, while not a top-three placement, indicates that when Jan Dils Attorneys is recommended, it appears in a mid-list position rather than at the bottom of a recommendation set. This is a narrow but meaningful signal that the firm's recommendation quality, where it exists, is not poor.

Where Jan Dils Attorneys Has the Clearest AI Visibility Gaps

Questions This Section Answers

• Why is Jan Dils Attorneys visible in AI recommendations but not shortlisted?
• Which platforms are competitors recording recommendations on where the firm is absent?
• How does Jan Dils Attorneys' placement compare to other small-count brands like Hensley Legal Group?

Jan Dils Attorneys recorded 0 top-three recommendations and 0 rank-one recommendations across 206 qualified observations. This means the firm was never positioned as a first, second, or third choice in any AI-generated recommendation during October 2026. The firm is visible but not being shortlisted.

The firm's absence from five of six tracked platforms is a significant gap. Jan Dils Attorneys showed no presence on ChatGPT, Copilot, Gemini, Perplexity, or Google AI Mode. Competitors including Morgan & Morgan, Pond Lehocky, and Krasno Krasno & Onwudinjo recorded recommendations across multiple platforms, indicating that broader platform coverage is achievable in this category.

Compared to Hensley Legal Group, which recorded 5 valid recommendations and a top-three rate of 2.43%, Jan Dils Attorneys has fewer absolute recommendations and no top-three placements. Hensley Legal Group's average recommended rank of 1.2 indicates that when it is recommended, it appears near the top of the list. Jan Dils Attorneys' average rank of 4 suggests the firm is being positioned lower when it does surface.

The firm's raw mention presence rate of 0.49% is identical to its valid recommendation coverage rate, meaning every mention Jan Dils Attorneys received was classified as a valid recommendation. While this indicates efficient conversion from mention to recommendation, the absolute volume is too low to generate meaningful visibility. The firm needs to expand its presence in AI responses before it can improve its recommendation conversion.

The benchmark's single qualified cluster, Brand Recommendation, captures prompts seeking direct recommendations for workers compensation lawyers. Jan Dils Attorneys' 0.49% coverage within this cluster is well below the category leader and below several competitors with similar or smaller overall footprints. This suggests the firm is not being surfaced when users ask AI systems for workers compensation lawyer recommendations.

Biggest Opportunity

Questions This Section Answers

• Which cluster offers Jan Dils Attorneys the clearest path to expanding recommendation coverage?
• How could the firm extend its Google AI Overviews retrievability to ChatGPT, Copilot, and Gemini?
• Where does the firm need improvement beyond just increasing mention volume?

The clearest opportunity for Jan Dils Attorneys is expanding its presence within the Brand Recommendation cluster, specifically by increasing the number of prompts where the firm is mentioned and recommended. The firm's current 1 valid recommendation represents 0.49% coverage, leaving substantial room for growth within the existing qualified observation set.

Because Jan Dils Attorneys' single recommendation appeared on Google AI Overviews, the firm's public evidence layer appears retrievable by Google's AI systems. The opportunity is to extend that retrievability to other platforms, particularly ChatGPT, Copilot, and Gemini, where competitors are recording recommendations and Jan Dils Attorneys is absent.

The firm's positive sentiment profile provides a foundation for expansion. With 0 negative mentions and a net sentiment score of 1.00, Jan Dils Attorneys does not face a framing problem. The challenge is volume and platform coverage, not reputation or tone.

Improving top-three placement is a secondary but related opportunity. The firm's average recommended rank of 4 indicates that when it is recommended, it appears mid-list. Moving into top-three positions would require the firm to be associated with attributes or evidence that AI systems prioritize when constructing shortlists.

Competitive Landscape

Questions This Section Answers

• Who dominates AI recommendations in the Workers Compensation Lawyers category?
• How does Jan Dils Attorneys' top-three rate compare to competitors like Hensley Legal Group and Klezmer Maudlin?
• Which competitors are recording recommendations across multiple platforms where Jan Dils Attorneys has no presence?

Morgan & Morgan holds dominant recommendation power in the Workers Compensation Lawyers category, with valid recommendation coverage of 47.57% and a top-three rate of 28.16%. Pond Lehocky and Krasno Krasno & Onwudinjo are the strongest challengers, though both trail the leader by more than 35 percentage points. Jan Dils Attorneys sits in the compressed field below the leaders, with minimal recommendation presence and no top-three placements.

Average recommended rank covers rank-eligible recommendations only.

Jan Dils Attorneys' position in the table reflects its minimal recommendation presence. The firm recorded no top-three or rank-one placements, and its single valid recommendation appeared at an average rank of 4. The firm's sentiment score of 1.0000 is among the highest in the category, but this reflects the uniformly positive framing of a single mention rather than a broad pattern of positive recommendations.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "workers compensation lawyers" Result: Jan Dils Attorneys received 1 valid recommendation at an average rank of 4, its only recorded recommendation across all platforms.

ChatGPT / Brand Recommendation Prompt: "workers compensation attorney" Result: Jan Dils Attorneys recorded no presence or recommendation on this platform.

Copilot / Brand Recommendation Prompt: "workers comp lawyer" Result: Jan Dils Attorneys recorded no presence or recommendation on this platform.

Google AI Mode / Brand Recommendation Prompt: "best workers compensation lawyers" Result: Jan Dils Attorneys recorded no presence or recommendation on this platform.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every prompt where Jan Dils Attorneys appears, is mentioned, or is absent across all six tracked platforms, and identify which competitors are capturing the recommendations the firm is missing.

Phase 2: Recommendation Readiness Plan Prioritize the Brand Recommendation cluster and identify the specific prompt types, geographic modifiers, and practice-area terms where the firm has the clearest path from absence to recommendation.

Phase 3: Owned Answer Layer Buildout Develop firm-owned content that directly addresses the questions AI systems are answering, including service pages, FAQ structures, and comparison-ready content that AI systems can retrieve and synthesize.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer by expanding the firm's presence in directories, legal publications, and third-party sources that AI systems cite when constructing workers compensation lawyer recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track recommendation coverage, top-three placement, and platform distribution month over month to measure whether the firm is converting visibility into shortlist-level positioning.

Why This Matters

AI-generated recommendations are becoming a primary discovery channel for buyers seeking legal services. When a potential client asks ChatGPT, Copilot, or Google AI Overviews for a workers compensation lawyer recommendation, the firms that appear in those responses capture the shortlist. Jan Dils Attorneys currently holds 0.49% valid recommendation coverage, meaning the firm is absent from the vast majority of AI-generated recommendation sets in this category.

Presence alone is not enough. Jan Dils Attorneys recorded 1 mention and 1 valid recommendation, but 0 top-three placements. The firm is visible in a narrow context but is not being shortlisted. The next move is targeted correction of the prompt, page, and citation layers that determine whether AI systems surface Jan Dils Attorneys as a recommended option when buyers ask for workers compensation lawyer recommendations.

Core Metrics

Sentiment Score

Questions This Section Answers

• How is the sentiment score calculated for Jan Dils Attorneys?
• Why should a sentiment score based on a single mention be interpreted with caution?

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

For Jan Dils Attorneys, the calculation is: (1 × 1 + 0 × 0 + 0 × -1) / 1 = 1.0000.

This score indicates that the firm's single mention was framed positively. However, a sentiment score based on one mention should be interpreted with caution. The score reflects framing quality, not recommendation strength or business outcomes.

Unclassified mention counts are misleading because they treat all appearances as equivalent. 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 for Jan Dils Attorneys, the classification shows a positive but extremely small sample.

Share of voice is a diagnostic metric, not a business KPI. The firm's 0.49% mention presence rate indicates it is rarely surfaced in AI responses, regardless of the positive framing when it does appear. The sentiment score should be read alongside the coverage and placement metrics, not in isolation.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of AI recommendation patterns in the Workers Compensation Lawyers category for October 2026. It is not a client result and does not imply that CiteWorks Studio caused any observed outcomes.
2. The reporting window is October 2026. The benchmark series opened in July 2026 and includes monthly measurements for July, August, September, and October 2026.
3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six platforms registered at least one qualified observation in the October 2026 measurement period.
4. The October 2026 measurement produced 639 prompt-surface observations, 463 unique questions, and 573 brand or competitor mentions. After qualification, 206 observations were retained as the public denominator for all brand-level metrics.
5. The competitor universe includes ten tracked brands: Morgan & Morgan, Pond Lehocky, Krasno Krasno & Onwudinjo, Hensley Legal Group, Klezmer Maudlin, Berger and Green, Gerber & Holder, Jan Dils Attorneys, Bross & Frankel, and Calhoun Meredith.
6. The benchmark's only qualified buyer-intent cluster is Brand Recommendation, which captures prompts seeking direct recommendations for workers compensation lawyers. No qualified observations were captured for Pricing & Value or Multi-Brand Comparison clusters in October 2026.
7. Stage 0 extraction retains the query, AI platform, 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. A mention is defined as any appearance of a tracked brand in an AI response, regardless of recommendation status. Mentions can be positive, neutral, or negative in framing.
9. A valid recommendation is defined as a mention where the brand is recommended with a valid, attributable recommendation. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations unless the dataset explicitly marks them as such.
10. Average recommended rank covers rank-eligible recommendations only. Companies with no rank-eligible recommendations are marked N/A.
11. The qualified observation pool ranged from 126 in July 2026 to a series peak of 247 in September 2026 before settling at 206 in October 2026. Percentage comparisons across months partly reflect changes in the pool size.
12. This benchmark does not measure market share, revenue attribution, attributable sales or client conversions, every possible AI response to a given query, organic-search ranking positions, social media mention volume, private or sponsored channels, or causality from a metric movement alone.

See Where Jan Dils Attorneys Stands in AI Recommendations

The public benchmark shows where Jan Dils Attorneys appears in AI-generated recommendations and where competitors are being recommended instead. A company-level AI visibility audit maps the specific prompts, platforms, and sources driving those outcomes, and identifies the levers that can move the firm from occasional mention to consistent shortlist placement.