CiteWorks Studio

Boyd Law AI Market Strategy Report - Divorce Lawyers

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • Boyd Law recorded 8 mentions and 5 valid recommendations across 195 qualified observations, equal to 4.10% raw presence and 2.56% recommendation coverage.
  • The firm’s strongest signal is quality of appearance: 5 positive mentions, 3 neutral mentions, no negative mentions, and an average recommended rank of 2.0.
  • Visibility is concentrated on Google AI Overviews and Google AI Mode, with no qualified presence on ChatGPT, Copilot, or Perplexity in the September 2026 dataset.
  • The clearest growth opportunity is converting neutral mentions into recommendations while expanding presence beyond Google surfaces to reduce platform concentration risk.

Answer Capsule

Boyd Law holds a narrow but real position in AI-generated divorce lawyer recommendations, with 4.1% raw mention presence and 2.56% valid recommendation coverage in September 2026. The firm appears in AI answers less often than several competitors and converts presence into recommendations at a modest rate, with 5 valid recommendations from 8 total mentions. Its clearest strength is a positive framing profile with no negative mentions, while its clearest weakness is limited visibility across most AI platforms. The biggest opportunity lies in converting its existing neutral and positive presence into more consistent recommendation placements, particularly on Google AI Overviews and Google AI Mode where its current recommendation activity is concentrated.

Who This Report Is For

This report is for Boyd Law's marketing leadership, digital strategy team, and firm partners responsible for understanding how AI systems currently recommend divorce and family law firms to prospective clients.

Report Card

Field

Value

Report type

AI Company Market Strategy Report

Target company

Boyd Law

Category / market studied

Divorce Lawyers

Reporting month

September 2026

AI platforms tracked

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

Public high-intent clusters

1

AI observations analyzed

195

Competitors tracked

10

Executive Summary

Boyd Law holds a limited but positive position in AI-generated divorce lawyer recommendations. The September 2026 LLM Authority Index benchmark shows the firm with 4.1% raw mention presence and 2.56% valid recommendation coverage, placing it in the lower tier of the tracked competitive set. Boyd Law recorded 8 total mentions across 195 qualified observations, with 5 positive mentions, 3 neutral mentions, and no negative mentions.

The firm's strongest signal is its recommendation placement efficiency. When Boyd Law is recommended, it appears at an average rank of 2.0, and its top-three rate of 2.05% is close to its overall recommendation coverage of 2.56%. This suggests that when AI systems do recommend Boyd Law, they tend to place it prominently rather than as an afterthought.

The clearest platform gap is the absence of any Boyd Law presence on ChatGPT, Copilot, and Perplexity in the qualified observation set. The firm's recommendation activity is concentrated on Google AI Overviews and Google AI Mode, with smaller presence on Gemini. This concentration leaves Boyd Law exposed to shifts in how those two Google surfaces generate answers.

The category context matters. Cordell & Cordell leads with 30.26% valid recommendation coverage, and Stange Law Firm has risen to 18.97%, creating a two-firm leadership tier. Boyd Law sits in a cluster of smaller firms with coverage between 1.54% and 4.10%, where single-digit observation changes can move percentages meaningfully.

What Boyd Law Is Winning

Questions This Section Answers

  • What does Boyd Law's clean sentiment profile mean for its AI recommendation position?
  • How strong is Boyd Law's placement efficiency when AI systems do recommend the firm?
  • What does Boyd Law's performance on Google AI Overviews show about its recommendation capacity?

Boyd Law's clean sentiment profile is its clearest evidence-backed win. The firm recorded zero negative mentions across all 8 appearances in September 2026, with a net sentiment score of 0.625. This means every mention of Boyd Law in AI-generated answers was either positive or neutral, with no cautionary or negative framing present.

The firm also shows strong placement efficiency when recommended. Boyd Law's average recommended rank of 2.0 means that when AI systems include the firm in a recommendation list, it tends to appear near the top. Its top-three rate of 2.05% is close to its valid recommendation coverage of 2.56%, indicating that most recommendations place Boyd Law within the top three options.

Boyd Law's recommendation activity on Google AI Overviews is another positive signal. The firm achieved 3.53% valid recommendation coverage on that surface, with a 1.18% rank-one rate. This suggests the firm has some capacity to earn first-position recommendations in Google's AI-generated search answers.

Where Boyd Law Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • What does the gap between Boyd Law's 8 mentions and 5 recommendations indicate?
  • Why is Boyd Law's platform concentration on Google surfaces a risk?
  • Which competitors are capturing the AI recommendation share that Boyd Law is missing?

Boyd Law's most significant gap is the gap between presence and recommendation. The firm was mentioned in 8 of 195 qualified observations but recommended in only 5 of them. Three mentions did not convert into recommendations, meaning AI systems referenced Boyd Law without actively recommending it. This pattern indicates the firm is recognized but not consistently chosen.

The platform concentration is a second clear gap. Boyd Law has no presence on ChatGPT, Copilot, or Perplexity in the September 2026 qualified set. ChatGPT and Copilot observations were limited in the overall benchmark, but Perplexity produced 3 qualified observations with no Boyd Law mentions. The firm's visibility is almost entirely dependent on Google surfaces, which creates concentration risk if those platforms change how they generate answers.

Competitor displacement is visible in the comparison with McKinley Irvin. McKinley Irvin holds 9.74% presence and 8.21% valid recommendation coverage, roughly double Boyd Law's rates on both metrics. Stange Law Firm, the category's riser, holds 31.28% presence and 18.97% coverage. Boyd Law is not capturing the same share of AI-generated recommendation opportunities as these firms.

The absence of rank-one recommendations on most platforms is a further gap. Boyd Law recorded rank-one placements only on Google AI Mode and Google AI Overviews, with no rank-one results on Gemini, ChatGPT, Copilot, or Perplexity.

Biggest Opportunity

Questions This Section Answers

  • How could converting neutral mentions into valid recommendations improve Boyd Law's coverage?
  • Which platforms offer the clearest path to expanding Boyd Law's recommendation pool?

Boyd Law's clearest opportunity is converting its existing neutral mentions into valid recommendations. The firm recorded 3 neutral mentions in September 2026, representing 37.5% of its total presence. These neutral mentions indicate AI systems are aware of Boyd Law and reference it in answers, but do not actively recommend it. If Boyd Law can shift even a portion of these neutral references into positive recommendations, its valid recommendation coverage would rise without requiring any increase in raw presence.

The concentration of Boyd Law's recommendation activity on Google AI Overviews and Google AI Mode suggests these surfaces are the most receptive to the firm's current evidence layer. Strengthening the source footprint that supports recommendations on these platforms, while building presence on ChatGPT and Perplexity where the firm is currently absent, would reduce platform concentration risk and expand the total recommendation pool.

Competitive Landscape

Questions This Section Answers

  • Where does Boyd Law rank against competitors on top-three and rank-one recommendation rates?
  • What does Boyd Law's average recommended rank of 2.00 show about how AI systems place the firm when they do recommend it?

Cordell & Cordell holds dominant recommendation-stage strength in the divorce lawyer category, with Stange Law Firm emerging as the strongest challenger. Boyd Law sits in the lower tier of the tracked competitive set, with recommendation coverage below the category's leading firms.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Cordell & Cordell

22.56%

14.87%

2.04

0.4846

Stange Law Firm

15.38%

6.67%

1.71

0.5738

McKinley Irvin

6.15%

2.05%

2.07

0.8421

Sterling Lawyers

3.08%

0.00%

2.50

0.4000

Charles R. Ullman & Associates

2.56%

2.05%

1.40

0.4615

Boyd Law

2.05%

1.03%

2.00

0.6250

Berenji & Associates

1.54%

0.51%

2.25

0.8000

Wilkinson & Finkbeiner

1.54%

0.00%

3.00

1.0000

Brian D. Perskin & Associates

1.54%

0.51%

2.00

0.7500

Goldberg Jones

1.54%

0.51%

3.83

0.7273

Average recommended rank covers rank-eligible recommendations only.

Boyd Law's 2.05% top-three rate places it sixth in the competitive set, ahead of four firms but well behind the category leaders. Its 1.03% rank-one rate and 2.00 average recommended rank indicate that when the firm is recommended, it appears relatively high, but the overall frequency of recommendation remains limited.

Prompt Evidence

Google AI Overviews / Best Divorce Lawyers & Top-Rated Family Law Attorneys Prompt: "best divorce lawyer" Result: Boyd Law appeared in a positive recommendation context, contributing to its 3.53% valid recommendation coverage on this surface.

Google AI Mode / Best Divorce Lawyers & Top-Rated Family Law Attorneys Prompt: "child custody lawyers near me" Result: Boyd Law received a rank-one recommendation in one observation, one of only two rank-one placements for the firm across all platforms.

Gemini / Best Divorce Lawyers & Top-Rated Family Law Attorneys Prompt: "lawyers near me" Result: Boyd Law was mentioned once in a neutral context but received no recommendation, reflecting the gap between presence and recommendation conversion.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map which specific prompts and question types currently surface Boyd Law versus those where the firm is absent, with emphasis on the gap between the 8 mentions and 5 recommendations.

Phase 2: Recommendation Readiness Plan Identify which neutral mentions can be converted into positive recommendations by strengthening the evidence layer that supports Boyd Law's positioning in AI-generated answers.

Phase 3: Owned Answer Layer Buildout Develop content that answers the high-intent questions in the Best Divorce Lawyers cluster, particularly around child custody, spousal support, and local divorce representation where Boyd Law currently appears.

Phase 4: Citation / Authority Layer Development Build the backlink-supported evidence layer needed to expand presence beyond Google AI Overviews and Google AI Mode into ChatGPT, Perplexity, and other surfaces where Boyd Law is currently absent.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Boyd Law's presence, recommendation coverage, and platform distribution monthly to measure whether the gap between mentions and recommendations is closing.

Why This Matters

AI-generated recommendations are becoming a primary way prospective clients identify divorce and family law firms. Boyd Law's current position shows a firm that is recognized by AI systems but not consistently recommended, with 3 of every 8 mentions failing to convert into an actionable recommendation. In a category where Cordell & Cordell and Stange Law Firm dominate the recommendation layer, presence alone is not enough.

The next move for Boyd Law is targeted correction of the prompt, page, and citation layers that determine whether AI systems move the firm from reference to recommendation. The raw material exists: positive framing, no negative mentions, and strong placement efficiency when recommended. The task is expanding the frequency of those recommendations across more platforms and more high-intent prompts.

Core Metrics

Metric

Value

Mentions

8

Valid recommendations

5

Top 3 recommendation count

4

Rank #1 recommendation count

2

Average recommended rank

2.00

Positive mentions

5

Neutral mentions

3

Negative mentions

0

Raw mention presence rate

4.10%

Valid recommendation coverage

2.56%

Top 3 recommendation rate

2.05%

Rank #1 recommendation rate

1.03%

Net sentiment score

0.6250

Strongest cluster by recommendation behavior

Best Divorce Lawyers & Top-Rated Family Law Attorneys

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

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

For Boyd Law, this calculation is (5 × 1 + 3 × 0 + 0 × -1) / 8, producing a net sentiment score of 0.6250.

This score matters because unclassified mention counts are misleading. Boyd Law's 8 mentions look modest, but the quality of those mentions is strong: 5 positive, 3 neutral, and zero negative. Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, neutral reference, cautionary mention, and competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, because the same raw presence number can represent very different recommendation dynamics.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Overviews

3

3

0

0

1.00

Strongest public recommendation signal

Google AI Mode

4

2

2

0

0.50

Present, but not fully recommendation-led

Gemini

1

0

1

0

0.00

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

Perplexity

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. This report is a company-level AI market strategy readout based on the LLM Authority Index AI Market Discovery benchmark for the Divorce Lawyers vertical, not a client implementation case study.
  2. The reporting window is September 2026, with comparative reference to July 2026 and August 2026 where the benchmark provides historical context.
  3. Six AI/search surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
  4. The September 2026 benchmark began with 259 prompt-surface observations, of which 230 were relevant and 29 were irrelevant, producing 195 qualified observations used as the public denominator.
  5. Ten brands were tracked in the competitive universe, including Boyd Law and nine competing divorce and family law firms.
  6. All qualified observations fell into the Brand Recommendation buyer-intent class. The public benchmark does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.
  7. Stage 0 extraction captured prompt-level observations including the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  8. A mention is defined as any appearance of Boyd Law in an AI-generated answer, regardless of whether the firm is actively recommended.
  9. A valid recommendation is defined as a clear, actionable recommendation of Boyd Law, distinct from a neutral reference or a mention without recommendation intent.
  10. Boyd Law operates on small absolute counts in this benchmark. Its 8 mentions and 5 valid recommendations mean percentage movements can shift with single-observation changes; treat all figures as directional signals rather than definitive measurements.
  11. The qualified surface breadth expanded from four families in July 2026 to six in September 2026, which changes the denominator against which brand-level coverage is measured.
  12. Limitations: This public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, or private or sponsored channels. A metric movement alone does not establish causality.

Get Your AI Visibility Audit

The public benchmark shows where Boyd Law stands in AI-generated divorce lawyer recommendations, but a company-level audit can identify which specific prompts, competitors, and evidence sources drive the gap between the firm's 8 mentions and 5 recommendations. Understanding which questions and platforms shape Boyd Law's AI visibility is the difference between reacting to a percentage and acting on the underlying cause.

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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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