Charles R. Ullman & Associates AI Visibility Market Strategy Report - Divorce Lawyers

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • The firm has 6.18% raw mention presence but only 3.37% valid recommendation coverage, showing a gap between visibility and shortlist placement.
  • Sentiment is positive overall, with 6 positive mentions, 5 neutral mentions, and no negative mentions in the October 2026 dataset.
  • AI Mode is the firm’s only meaningful recommendation pocket; ChatGPT, Copilot, Gemini, and Perplexity show no valid recommendation presence.
  • The main opportunity is converting neutral mentions into valid recommendations within the Brand Recommendation cluster.

Answer Capsule

Charles R. Ullman & Associates holds a narrow recommendation pocket in the Divorce Lawyers category, with 6.18% raw mention presence and 3.37% valid recommendation coverage in October 2026. The firm is visible in AI-generated answers but converts that visibility into shortlist placement at roughly half the rate of its presence. Its clearest win is a rising presence rate, up from 3.9% in July 2026, and its clearest weakness is a rank-one rate of just 1.12%. The biggest opportunity sits in converting neutral references into valid recommendations within the brand recommendation cluster.

Who This Report Is For

This report is for Charles R. Ullman & Associates leadership, marketing decision-makers, and category strategists evaluating how the firm appears in AI-generated recommendations for divorce and family law services.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Charles R. Ullman & Associates

Category / market studied

Divorce Lawyers

Reporting month

October 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, AI Mode)

Public high-intent clusters

3

AI observations analyzed

178

Competitors tracked

9

Executive Summary

Charles R. Ullman & Associates is visible in the Divorce Lawyers category but under-recommended relative to its presence. The firm recorded 11 mentions across 178 qualified observations in October 2026, a raw mention presence rate of 6.18%, but converted only 6 of those into valid recommendations, a coverage rate of 3.37%. That gap between being mentioned and being recommended is the central finding of this report.

The firm's recommendation profile is modest but improving. Presence rate rose from 3.9% in July 2026 to 6.18% in October 2026, and valid recommendation coverage moved from 2.2% to 3.37% over the same period. Both movements are within normal variation at this count level, but the direction is positive.

Sentiment is the firm's strongest signal. Net sentiment score stands at 0.5455, with 6 positive mentions, 5 neutral mentions, and zero negative mentions. No AI platform surfaced cautionary or negative framing about the firm in the qualified observation set.

The strongest platform signal comes from AI Mode, where the firm recorded a 9.5% valid recommendation coverage rate and a 3.2% rank-one rate. AI Overviews contributed 1 neutral mention but no valid recommendations, and the firm had no qualifying presence on ChatGPT, Copilot, or Perplexity in the October 2026 data. Gemini contributed 1 neutral mention without recommendation credit.

The clearest gap is rank-one placement. The firm reached the top recommendation position in only 1.12% of qualified observations, compared to 19.10% for category leader Cordell & Cordell and 13.48% for Stange Law Firm. The firm is entering shortlists but rarely winning them outright.

The second gap is platform concentration. All of the firm's valid recommendations came from a single platform family, AI Mode. The firm is effectively absent from the recommendation layer on ChatGPT, Copilot, Gemini, and Perplexity in this dataset.

What Charles R. Ullman & Associates Is Winning

Questions This Section Answers

  • What is the firm's strongest performance signal in October 2026?
  • Where has the firm achieved a functional recommendation pocket?
  • Is the firm's momentum improving or declining?

The firm's clearest win is sentiment quality. With 6 positive mentions, 5 neutral mentions, and zero negative mentions, the firm holds a net sentiment score of 0.5455. Among tracked brands with meaningful presence, only a small number recorded zero negative mentions, and those brands operate at different coverage levels.

The firm's second win is directional momentum. Presence rate rose from 3.9% in July 2026 to 6.18% in October 2026, and valid recommendation coverage rose from 2.2% to 3.37%. Both movements are modest, but they represent improvement rather than decline in a category where several competitors posted coverage losses over the same period.

The firm's third win is a functional recommendation pocket on AI Mode. Within that platform, the firm recorded a 9.5% valid recommendation coverage rate and a 3.2% rank-one rate, both above its overall category averages. This suggests the firm has established some recommendation presence in the AI Mode surface, even if that presence has not yet extended to other platforms.

These wins are real but narrow. The firm does not hold a dominant position in any cluster, platform, or prompt type. Its recommendation footprint is small and concentrated.

Where Charles R. Ullman & Associates Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why are the firm's mentions not converting into recommendations?
  • On which AI platforms does the firm have no valid recommendation presence?

The firm's most significant gap is recommendation conversion. It appeared in 11 qualified observations but received valid recommendation credit in only 6. That means roughly 45% of the firm's mentions did not convert into actionable recommendations. In practical terms, AI systems are referencing the firm without positioning it as a shortlist option.

The second gap is rank-one placement. The firm reached the top recommendation position in only 2 of 178 qualified observations, a rank-one rate of 1.12%. By comparison, Cordell & Cordell reached rank one in 19.10% of observations and Stange Law Firm in 13.48%. The firm is not competing for first-choice positioning at meaningful scale.

The third gap is platform absence. The firm recorded zero valid recommendations on ChatGPT, Copilot, Gemini, and Perplexity in October 2026. Its entire recommendation footprint came from AI Mode. This concentration means the firm is invisible in the recommendation layer on four of the six tracked AI platforms.

The fourth gap is cluster concentration. All 178 qualified observations in October 2026 fell into the Brand Recommendation cluster. The firm's 3.37% coverage rate within that cluster places it fifth among ten tracked brands, behind Cordell & Cordell, Stange Law Firm, McKinley Irvin, and Goldberg Jones. The firm is not winning the core recommendation prompt type at competitive scale.

Biggest Opportunity

Questions This Section Answers

  • What is the shortest path to increasing the firm's recommendation coverage?
  • Which prompt cluster offers the most immediate upside for the firm?

The firm's biggest opportunity is converting its neutral mentions into valid recommendations. Five of the firm's 11 mentions were classified as neutral, meaning AI systems referenced the firm without positive or negative framing. These neutral references represent the shortest path to recommendation coverage because the firm is already appearing in AI-generated answers.

The specific opportunity sits in the Brand Recommendation cluster, where prompts ask which firm to use or request a recommendation. The firm is present in this cluster but converts to valid recommendation at a lower rate than its presence would suggest. Improving the firm's positioning within this cluster, particularly on platforms where it currently has no recommendation presence, would directly increase its coverage rate. Extending recommendation presence to ChatGPT, Copilot, Gemini, and Perplexity would broaden the firm's footprint without requiring new presence, since the firm's AI Mode performance already shows it can earn recommendations when the conditions are right.

Competitive Landscape

Questions This Section Answers

  • Who leads the Divorce Lawyers category in top-three and rank-one rates?
  • How does Charles R. Ullman & Associates compare to the top-ranked firms?

Cordell & Cordell and Stange Law Firm hold recommendation-stage strength in the Divorce Lawyers category, with Cordell & Cordell leading at 40.45% top-three rate and Stange Law Firm second at 29.78%. Charles R. Ullman & Associates sits in the middle of the tracked set, ahead of several brands but well behind the two leaders.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Cordell & Cordell

40.45%

19.10%

2.40

0.7381

Stange Law Firm

29.78%

13.48%

2.00

0.8769

McKinley Irvin

5.62%

2.81%

2.62

0.9286

Goldberg Jones

3.37%

0.00%

3.75

1.0000

Charles R. Ullman & Associates

2.81%

1.12%

2.67

0.5455

Boyd Law

2.25%

0.00%

2.25

0.6667

Sterling Lawyers

1.12%

0.00%

4.75

0.2857

Wilkinson & Finkbeiner

0.56%

0.56%

3.67

1.0000

Berenji & Associates

0.56%

0.00%

2.00

1.0000

Brian D. Perskin & Associates

0.00%

0.00%

N/A

0.0000

Average recommended rank covers rank-eligible recommendations only.

Charles R. Ullman & Associates ranks fifth by top-three rate and fifth by rank-one rate among the ten tracked brands. Its average recommended rank of 2.67 is competitive with McKinley Irvin and better than Goldberg Jones, but its top-three and rank-one rates are substantially lower than the two category leaders.

Prompt Evidence

Questions This Section Answers

  • Which prompts produced valid recommendations versus neutral mentions for the firm?
  • Where did the firm achieve rank-one placement in the prompt set?

AI Mode / Brand Recommendation Prompt: "Who are some good divorce lawyers in Sedgwick County, KS?" Result: Charles R. Ullman & Associates received a valid recommendation with a rank-one placement, one of only two rank-one placements recorded for the firm.

AI Overviews / Brand Recommendation Prompt: "best divorce lawyer" Result: The firm received a neutral mention without a valid recommendation, appearing in the answer as a reference rather than a shortlist option.

AI Mode / Brand Recommendation Prompt: "family law lawyers near me" Result: The firm appeared in the answer with a positive mention and valid recommendation credit, contributing to its AI Mode coverage rate of 9.5%.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map the firm's current recommendation footprint across all six tracked platforms, identifying which prompts produce mentions versus valid recommendations and where competitor displacement occurs.

Phase 2: Recommendation Readiness Plan Prioritize the neutral mentions that are closest to converting into valid recommendations and identify the specific prompt families where the firm can gain shortlist position.

Phase 3: Owned Answer Layer Buildout Develop firm-owned content that directly addresses the high-intent prompts where the firm is mentioned but not recommended, with clear positioning on practice areas, geographies, and differentiators.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer that AI systems retrieve when forming recommendations, including directory presence, third-party references, and source pages that support the firm's recommendation eligibility.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track recommendation coverage, top-three rate, and rank-one rate month over month to measure whether the firm is converting mentions into shortlist placements and closing the gap with category leaders.

Why This Matters

AI-generated recommendations are becoming a primary discovery layer for buyers seeking divorce and family law services. When a potential client asks an AI system which firm to use, the answer shapes the shortlist before any direct search or consultation occurs. Charles R. Ullman & Associates is visible in that layer but under-recommended relative to its presence.

The firm's current position is not a visibility problem. It is a recommendation conversion problem. The firm appears in AI answers, holds positive sentiment, and has established a functional pocket on AI Mode. The next step is converting that presence into shortlist placement across more prompts and more platforms. That requires targeted work on the prompt, page, and citation layers that AI systems use to form recommendations.

Core Metrics

Metric

Value

Mentions

11

Valid recommendations

6

Top 3 recommendation count

5

Rank #1 recommendation count

2

Average recommended rank

2.67

Positive mentions

6

Neutral mentions

5

Negative mentions

0

Raw mention presence rate

6.18%

Valid recommendation coverage

3.37%

Top 3 recommendation rate

2.81%

Rank #1 recommendation rate

1.12%

Net sentiment score

0.5455

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

AI Mode

Sentiment Score

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

For Charles R. Ullman & Associates: (6 × 1 + 5 × 0 + 0 × -1) / 11 = 0.5455

This score matters because unclassified mention counts are misleading. A firm that appears in 11 AI answers but receives no recommendation credit is not in the same position as a firm that appears in 11 answers and is recommended in 6. 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 in commercial value.

Counting all mentions as wins is bad measurement. The firm's 5 neutral mentions are not equivalent to its 6 positive mentions, and neither category is equivalent to a valid recommendation. Classified sentiment is required before interpreting AI visibility. The firm's zero negative mentions is a genuine strength, but its 5 neutral mentions represent unconverted opportunity rather than recommendation success.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

AI Mode

9

6

3

0

0.6667

Strongest public recommendation signal

AI Overviews

1

0

1

0

0.0000

Present as context, not recommendation

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Copilot

0

0

0

0

N/A

No public presence in this packet

Gemini

1

0

1

0

0.0000

Present as context, not recommendation

Perplexity

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. This report is a benchmark-based analysis of Charles R. Ullman & Associates within the Divorce Lawyers category, produced from the LLM Authority Index AI Visibility Market Discovery Index for October 2026.
  2. The reporting window is October 2026, with comparison data from July 2026, August 2026, and September 2026 where available.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. All six platforms had qualified observations in October 2026.
  4. The October 2026 benchmark began with 248 prompt-surface observations and 228 unique questions. After qualification, 178 observations were used as the public denominator for brand-level metrics.
  5. Ten companies were tracked in the Divorce Lawyers category: Cordell & Cordell, Stange Law Firm, McKinley Irvin, Goldberg Jones, Charles R. Ullman & Associates, Boyd Law, Sterling Lawyers, Wilkinson & Finkbeiner, Berenji & Associates, and Brian D. Perskin & Associates.
  6. Three public high-intent clusters were defined: Brand Recommendation (C01), Divorce Lawyer Comparisons and Alternatives (C02), and Divorce Lawyer Costs, Fees and Pricing (C03). Only C01 contained qualified observations in October 2026. The absence of qualified C02 and C03 observations is a taxonomy coverage gap in this benchmark period and limits cross-cluster interpretation.
  7. Stage 0 extraction retained the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and where exposed, citations or attributable evidence sources.
  8. A mention is defined as any appearance of the firm in an AI-generated answer within the qualified observation set, regardless of whether the firm was recommended.
  9. A valid recommendation is defined as a clear, actionable recommendation of the firm as a shortlist option. Neutral references, cautionary mentions, and comparison anchors are not counted as valid recommendations unless the dataset explicitly marks them as such.
  10. Top-three rate measures the share of qualified observations where the firm appeared among the top three recommended options. Rank-one rate measures the share where the firm was the single top recommendation.
  11. Average recommended rank covers rank-eligible recommendations only. The firm's average recommended rank of 2.67 reflects its position when it received valid rank credit.
  12. Several brands in this category operate on small absolute counts. Charles R. Ullman & Associates recorded 11 mentions and 6 valid recommendations in October 2026. Percentage movements at this count level should be treated as directional signals rather than definitive shifts.
  13. The qualified surface breadth expanded from four AI/search families in July 2026 to six in October 2026, which broadens the denominator against which brand-level coverage is measured.
  14. Source presence is evidence about the information environment, not automatic proof that a source caused a recommendation. The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

See How AI Is Recommending Your Brand

The October 2026 benchmark shows where Charles R. Ullman & Associates is visible, where it is recommended, and where competitors are being chosen instead. A company-level AI visibility audit maps the specific prompts, platforms, and citation sources that shape how AI systems describe and recommend the firm. Understanding which questions drive recommendation coverage is the difference between reacting to a percentage change and acting on the underlying cause.

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What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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