Sterling Lawyers AI Visibility Market Strategy Report - Divorce Lawyers

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Sterling Lawyers is mentioned on all six tracked AI platforms, but only a small share of those mentions become valid recommendations.
  • The firm recorded no rank-one recommendations and had the weakest average recommended rank among tracked brands with rank-eligible placements.
  • AI Mode and AI Overviews are the only platforms producing any meaningful recommendation signal for Sterling Lawyers.
  • Most of the firm’s AI presence is neutral, which suggests it is being used as context rather than selected as a shortlist option.

Answer Capsule

Sterling Lawyers holds visible presence in AI-generated divorce lawyer recommendations but converts very little of that presence into valid recommendations. In October 2026, the firm recorded a 7.87% raw mention presence rate against a 2.25% valid recommendation coverage rate, meaning most AI mentions do not become shortlist placements. The clearest win is broad platform reach: Sterling Lawyers appears across all six tracked AI surfaces. The clearest weakness is recommendation conversion, and the clearest opportunity is closing the gap between being mentioned and being chosen.

Who This Report Is For

This report is written for Sterling Lawyers leadership, marketing teams, and category strategists who need to understand how the firm appears in AI-generated divorce lawyer recommendations and where the gap between visibility and selection is widest.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Sterling Lawyers

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

1 qualified (Brand Recommendation)

AI observations analyzed

178

Competitors tracked

9

Executive Summary

Sterling Lawyers is visible in AI-generated divorce lawyer answers but is rarely recommended. The firm appeared in 14 of 178 qualified observations in October 2026, a raw mention presence rate of 7.87%, yet received valid recommendation credit in only 4 of those observations, a valid recommendation coverage rate of 2.25%. That means roughly 71% of the firm's AI mentions do not convert into a clear, actionable recommendation.

The firm's top-three recommendation rate sits at 1.12%, and its rank-one recommendation rate is 0.00%. Sterling Lawyers was never the single top recommendation in any qualified observation during the reporting month. Its average recommended rank, when it does receive rank credit, is 4.75, the weakest placement among all tracked brands with rank-eligible recommendations.

Sentiment framing is mixed. Of the 14 mentions, 4 were positive, 10 were neutral, and 0 were negative, producing a net sentiment score of 0.2857. This is the lowest net sentiment score among all tracked brands with any presence. The firm is being referenced in AI answers, but the framing is predominantly neutral rather than endorsement-oriented.

The strongest platform signal for Sterling Lawyers is AI Mode, where the firm recorded a 4.76% valid recommendation coverage rate and a 1.41% captured share of AI opportunity. AI Overviews also produced a small recommendation signal at 1.19% coverage. On ChatGPT, Copilot, Gemini, and Perplexity, the firm received zero valid recommendations despite appearing in some observations on all four.

The clearest gap is recommendation conversion. Sterling Lawyers has presence across all six tracked platforms, but on four of them that presence does not translate into a single valid recommendation. The firm is being mentioned as context, not selected as a shortlist option.

The category leader, Cordell & Cordell, holds 50.00% valid recommendation coverage and a 40.45% top-three rate. Stange Law Firm, the second-place firm, holds 33.15% coverage and a 29.78% top-three rate. Sterling Lawyers sits more than 30 percentage points behind the leader on recommendation coverage and more than 25 points behind on top-three placement.

What Sterling Lawyers Is Winning

Questions This Section Answers

  • Which platforms is Sterling Lawyers actually appearing on?
  • Does the firm have any negative sentiment in AI-generated answers?

Sterling Lawyers has one measurable win: platform breadth. The firm appeared in qualified observations across all six tracked AI surfaces, including ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. This is a broader platform footprint than several competitors with similar or higher recommendation coverage.

The firm also recorded zero negative mentions in October 2026. All 14 mentions were either positive or neutral, which means AI systems are not framing Sterling Lawyers unfavorably. The absence of negative framing is a baseline strength, though it does not compensate for the low recommendation conversion rate.

On AI Mode specifically, Sterling Lawyers achieved a 4.76% valid recommendation coverage rate and a 4.67 average recommended rank. This is the firm's strongest platform-level recommendation signal and suggests that AI Mode's retrieval and synthesis patterns are more receptive to Sterling Lawyers content than other platforms.

These wins are narrow. The firm does not lead any cluster, does not hold a top-three position on any platform, and does not appear as a rank-one recommendation anywhere in the qualified dataset.

Where Sterling Lawyers Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • What share of Sterling Lawyers mentions convert into valid recommendations?
  • Which competitors are outperforming Sterling Lawyers at the recommendation stage?
  • On which platforms does Sterling Lawyers receive zero valid recommendations?

The primary gap is recommendation conversion. Sterling Lawyers appeared in 14 qualified observations but received valid recommendation credit in only 4. The remaining 10 mentions were neutral references, contextual inclusions, or comparison anchors that did not meet the threshold for a valid recommendation. This is a conversion rate of 28.57%, meaning nearly three out of every four AI mentions of the firm do not result in a shortlist placement.

The second gap is rank-one absence. Sterling Lawyers recorded zero rank-one recommendations in October 2026. By comparison, Cordell & Cordell recorded 34 rank-one placements, Stange Law Firm recorded 24, McKinley Irvin recorded 5, and Charles R. Ullman & Associates recorded 2. Even Wilkinson & Finkbeiner, which holds only 1.69% valid recommendation coverage, recorded 1 rank-one placement. Sterling Lawyers is the only tracked brand with meaningful presence that never reached the top recommendation position.

The third gap is platform-specific. On ChatGPT, Copilot, Gemini, and Perplexity, Sterling Lawyers received zero valid recommendations. The firm appeared in observations on ChatGPT (1 mention), Copilot (2 mentions), Gemini (5 mentions), and Perplexity (1 mention), but none of those appearances converted to a valid recommendation. On Gemini, all 5 mentions were neutral, producing a sentiment score of 0.00. On Copilot, both mentions were neutral. These platforms are surfacing Sterling Lawyers as a reference point, not as a recommended option.

The fourth gap is competitive displacement. When AI systems generate divorce lawyer recommendations, they consistently select Cordell & Cordell and Stange Law Firm ahead of Sterling Lawyers. Cordell & Cordell holds a 70.79% raw mention presence rate and a 50.00% valid recommendation coverage rate. Stange Law Firm holds a 36.52% presence rate and a 33.15% coverage rate. Sterling Lawyers holds a 7.87% presence rate and a 2.25% coverage rate. The firm is not competing at the recommendation stage.

Biggest Opportunity

Questions This Section Answers

  • Which platforms offer the clearest path to converting neutral mentions into recommendations?
  • Why are AI systems mentioning Sterling Lawyers without recommending the firm?

The biggest opportunity for Sterling Lawyers is converting neutral mentions into positive recommendations on AI Mode and AI Overviews. These two platforms already produce the firm's only valid recommendation signals, and both have high observation volumes (63 for AI Mode, 84 for AI Overviews). AI Mode produced a 4.76% recommendation coverage rate for Sterling Lawyers, and AI Overviews produced 1.19%. If the firm can increase the proportion of neutral mentions that convert to positive recommendations on these platforms, the impact on overall recommendation coverage would be immediate.

The specific path is improving the framing quality of the firm's public evidence layer. AI systems are finding Sterling Lawyers content and mentioning the firm, but they are not framing those mentions as recommendations. This suggests the firm's owned pages, third-party profiles, and citation sources are being retrieved as factual references rather than as recommendation-supporting evidence. Strengthening the recommendation signal in those sources, particularly on pages that AI Mode and AI Overviews already cite, is the clearest route to closing the conversion gap.

Competitive Landscape

Questions This Section Answers

  • Where does Sterling Lawyers rank against other divorce lawyers on top-three and rank-one rates?
  • How does Sterling Lawyers' average recommended rank compare to competing firms?

Cordell & Cordell and Stange Law Firm hold recommendation-stage strength in the divorce lawyer category. Sterling Lawyers sits well behind both on top-three rate, rank-one rate, and average recommended rank.

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.

Sterling Lawyers ranks seventh out of ten tracked brands on top-three rate and holds the weakest average recommended rank (4.75) among all brands with rank-eligible recommendations. The firm's sentiment score of 0.2857 is the lowest among brands with any presence, reflecting the high proportion of neutral mentions in its profile.

Prompt Evidence

AI Mode / Brand Recommendation Prompt: "best divorce lawyer" Result: Sterling Lawyers appeared in the observation but received a neutral mention rather than a valid recommendation, while Cordell & Cordell and Stange Law Firm were recommended.

AI Overviews / Brand Recommendation Prompt: "Who are some good divorce lawyers in Sedgwick County, KS?" Result: Sterling Lawyers was not mentioned. Cordell & Cordell and other firms were recommended.

Gemini / Brand Recommendation Prompt: "divorce lawyers for men" Result: Sterling Lawyers received a neutral mention with no recommendation credit, while Stange Law Firm received a positive recommendation.

ChatGPT / Brand Recommendation Prompt: "family law lawyers near me" Result: Sterling Lawyers appeared in the observation but did not receive a valid recommendation. The firm was referenced as context rather than selected as a shortlist option.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every prompt, platform, and cluster where Sterling Lawyers appears, and identify which mentions convert to recommendations versus which remain neutral references.

Phase 2: Recommendation Readiness Plan Prioritize the AI Mode and AI Overviews prompts where the firm already has presence but lacks recommendation credit, and define the content and citation changes needed to convert those mentions.

Phase 3: Owned Answer Layer Buildout Strengthen Sterling Lawyers owned pages so they present clear, recommendation-oriented answers to the high-intent prompts where the firm is currently mentioned but not selected.

Phase 4: Citation / Authority Layer Development Improve the third-party sources and directory profiles that AI systems cite when generating divorce lawyer recommendations, focusing on the platforms where the firm has zero recommendation coverage.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track recommendation coverage, top-three rate, rank-one rate, and sentiment by platform and cluster each month to measure whether neutral mentions are converting to positive recommendations.

Why This Matters

AI presence alone is not enough. Sterling Lawyers is visible in AI-generated divorce lawyer answers, but that visibility is not converting into recommendation-stage positioning. The firm is being mentioned as a reference point, not selected as a shortlist option. In a category where buyers increasingly rely on AI-generated recommendations to form their shortlist, being mentioned without being recommended is a commercial risk.

The next move is targeted correction of the prompt, page, and citation layers that shape how AI systems frame Sterling Lawyers. The firm does not need to rebuild its entire AI visibility footprint. It needs to convert the neutral mentions it already has into positive recommendations on the platforms and prompts where it is already present.

Core Metrics

Metric

Value

Mentions

14

Valid recommendations

4

Top 3 recommendation count

2

Rank #1 recommendation count

0

Average recommended rank

4.75

Positive mentions

4

Neutral mentions

10

Negative mentions

0

Raw mention presence rate

7.87%

Valid recommendation coverage

2.25%

Top 3 recommendation rate

1.12%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.2857

Strongest cluster by recommendation behavior

Brand Recommendation (C01)

Strongest platform by recommendation behavior

AI Mode

Sentiment Score

Questions This Section Answers

  • Why does Sterling Lawyers have the lowest net sentiment score among tracked brands?
  • What does the mix of positive and neutral mentions say about how AI systems frame the firm?

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

For Sterling Lawyers in October 2026: (4 × 1 + 10 × 0 + 0 × -1) / 14 = 0.2857.

This score matters because unclassified mention counts are misleading. A firm with 14 mentions sounds visible, but if 10 of those mentions are neutral references rather than positive recommendations, the firm is not actually being recommended. 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.

Sterling Lawyers' net sentiment score of 0.2857 is the lowest among all tracked brands with any presence in October 2026. This reflects the high proportion of neutral mentions in the firm's profile. The firm is being referenced, but it is not being endorsed.

Sentiment by Platform

Questions This Section Answers

  • Which platforms produce the strongest recommendation signal for Sterling Lawyers?
  • On which platforms does Sterling Lawyers appear only as a neutral reference?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

AI Mode

4

3

1

0

0.7500

Strongest public recommendation signal

AI Overviews

1

1

0

0

1.0000

Positive, but sample too small

ChatGPT

1

0

1

0

0.0000

Present as context, not recommendation

Copilot

2

0

2

0

0.0000

Present, but not recommendation-led

Gemini

5

0

5

0

0.0000

Present, but not recommendation-led

Perplexity

1

0

1

0

0.0000

Present as context, not recommendation

Methodology

  1. This report is a benchmark-based analysis of Sterling Lawyers' AI visibility and recommendation performance in the Divorce Lawyers category. It is not a client implementation case study.
  2. The reporting month is October 2026, with comparisons to the July 2026 baseline where available.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The analysis is based on 178 qualified observations from a raw collection of 248 prompt-surface observations. Qualification filtered out 27 irrelevant observations and 42 reserved observations.
  5. The competitor universe includes 10 tracked brands: Cordell & Cordell, Berenji & Associates, Boyd Law, Brian D. Perskin & Associates, Charles R. Ullman & Associates, Goldberg Jones, McKinley Irvin, Stange Law Firm, Sterling Lawyers, and Wilkinson & Finkbeiner.
  6. All 178 qualified observations fell into the Brand Recommendation cluster (C01). The Pricing and Value cluster (C02) and Multi-Brand Comparison cluster (C03) had zero qualified observations in October 2026.
  7. Stage 0 extraction retained the query, AI platform, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  8. A mention is defined as any appearance of Sterling Lawyers in an AI-generated answer, regardless of framing or placement.
  9. A valid recommendation is defined as a clear, actionable recommendation of Sterling Lawyers as a divorce lawyer option. Neutral references, comparison anchors, and contextual inclusions do not count as valid recommendations.
  10. Average recommended rank covers rank-eligible recommendations only. Sterling Lawyers received rank credit in 4 observations, producing an average recommended rank of 4.75.
  11. The qualified surface breadth expanded from four AI platforms in July 2026 to six in October 2026, which broadens the denominator against which brand-level coverage is measured.
  12. Small-count movements should be treated as directional signals. Sterling Lawyers operates on 4 valid recommendations, so each individual placement carries outsized weight in the percentage.

See How AI Is Recommending Your Brand

Sterling Lawyers is visible in AI-generated divorce lawyer answers, but most of those mentions do not convert into recommendations. A company-level AI visibility audit maps the specific prompts, platforms, and citation sources where the firm is mentioned but not selected, and identifies the content and authority changes needed to close the recommendation gap.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

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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