Brian D. Perskin & Associates AI Visibility Market Strategy Report - Divorce Lawyers

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Brian D. Perskin & Associates had 0.00% valid recommendation coverage across 178 qualified observations.
  • All qualified October 2026 observations fell into the Brand Recommendation cluster.
  • Cordell & Cordell led the category, followed by Stange Law Firm, while this firm recorded no presence.
  • The firm’s clearest gap is absence from AI-generated shortlists, not weak placement within them.

Answer Capsule

Brian D. Perskin & Associates recorded 0.00% valid recommendation coverage in the October 2026 LLM Authority Index divorce lawyer benchmark, with no mentions, no shortlist placements, and no rank-one positions across 178 qualified observations. The firm is the only tracked brand in the ten-company set with zero presence in the qualified benchmark, while Cordell & Cordell leads at 50.00% coverage and Stange Law Firm holds second at 33.10%. The clearest gap is total absence from the recommendation layer, not weak positioning within it. The clearest opportunity is re-entry into the Brand Recommendation cluster, where all 178 qualified observations in the category currently sit.

Who This Report Is For

This report is written for the leadership, marketing, and business development teams at Brian D. Perskin & Associates, and for any divorce law firm evaluating how AI-generated recommendations are reshaping buyer shortlists in the category.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Brian D. Perskin & 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 qualified observations from 248 source prompt-surface observations

Competitors tracked

9

Executive Summary

Brian D. Perskin & Associates holds no measurable position in the October 2026 divorce lawyer AI recommendation benchmark. Across 178 qualified observations, the firm recorded zero mentions, zero valid recommendations, zero top-three placements, and zero rank-one placements. Its raw mention presence rate is 0.00%, and its valid recommendation coverage is 0.00%. This is the only tracked brand in the ten-company set with no presence at all in the qualified benchmark.

The benchmark's qualified surface breadth expanded from four AI and search families in July 2026 to six in October 2026, with ChatGPT and Perplexity added to the qualified set. That expansion broadened the denominator against which every brand is measured. Brian D. Perskin & Associates did not register a single qualified observation across any of the six families in October 2026.

The category leader, Cordell & Cordell, recorded 50.00% valid recommendation coverage, 40.45% top-three rate, and 19.10% rank-one rate. Stange Law Firm, the second-place firm, recorded 33.10% coverage, 29.78% top-three rate, and 13.48% rank-one rate. The gap between the leader and the tenth-place firm is now the full width of the benchmark.

All 178 qualified observations in October 2026 fell into the Brand Recommendation buyer-intent cluster. The public benchmark does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison clusters, so the firm's absence is concentrated in the single cluster the benchmark currently measures: explicit recommendation requests.

The strongest platform signal in the category came from Google AI Overviews, where Cordell & Cordell reached 75.00% valid recommendation coverage and Stange Law Firm reached 42.86%. Brian D. Perskin & Associates recorded zero presence on every platform in the tracked set, including AI Overviews, AI Mode, Gemini, ChatGPT, Copilot, and Perplexity.

The clearest opportunity is not incremental improvement within an existing position. It is establishing a first qualified presence in the Brand Recommendation cluster, where the category's entire measured demand currently sits.

What Brian D. Perskin & Associates Is Winning

Questions This Section Answers

  • Does Brian D. Perskin & Associates hold any measurable position in the October 2026 benchmark?
  • Is there any negative AI framing the firm needs to correct?

The October 2026 benchmark does not show a measurable win for Brian D. Perskin & Associates in the qualified observation set. The firm recorded zero mentions, zero valid recommendations, zero top-three placements, and zero rank-one placements across 178 qualified observations.

There is no cluster, platform, or prompt type in the current public benchmark where the firm holds a measurable position. This is a plain statement of the data, not a judgment about the firm's practice or reputation. The benchmark measures AI-generated recommendation behavior, and in October 2026 that behavior did not surface the firm at all.

The one structural observation worth noting is that the firm carries no negative framing in the benchmark, because it carries no framing at all. There is no cautionary mention, no comparison-anchor placement, and no negative sentiment to correct. The starting position is absence rather than damage.

Where Brian D. Perskin & Associates Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How does the firm's absence compare to the lowest-ranked brands in the tracked set?
  • Which platforms show the largest recommendation gap between the firm and its competitors?
  • Did the firm's own domain appear among the top cited sources in the category?

The clearest gap is total absence from the recommendation layer. Brian D. Perskin & Associates is not present but under-recommended, and it is not visible without recommendation conversion. It is simply not in the qualified observation set.

The comparison to the rest of the tracked set makes the gap concrete. Nine of the ten tracked brands recorded at least one mention in October 2026. Berenji & Associates, the next-lowest brand, recorded 1 mention, 1 valid recommendation, and 0.56% coverage. Wilkinson & Finkbeiner recorded 3 mentions, 3 valid recommendations, and 1.69% coverage. Brian D. Perskin & Associates recorded none of these.

The gap is also visible at the platform level. On Google AI Overviews, the platform with the largest observation base at 84 qualified observations, Cordell & Cordell reached 75.00% coverage and Stange Law Firm reached 42.86%. On Google AI Mode, with 63 qualified observations, Cordell & Cordell reached 38.10% coverage and Stange Law Firm reached 26.98%. Brian D. Perskin & Associates recorded zero presence on both.

The gap extends to the source layer. Three tracked brands' own domains appeared in the top 10 cited domains in October 2026: cordellcordell.com at rank 2 with 158 citations, stangelawfirm.com at rank 4 with 54 citations, and sterlinglawyers.com at rank 9 with 26 citations. The firm's own domain did not appear in the top 10 cited sources. The citation layer is highly concentrated, with google.com alone accounting for 26.70% of all citations and the remaining top 10 domains together holding under 20%.

The practical implication is that when a buyer asks an AI system for a divorce lawyer recommendation in this category, Brian D. Perskin & Associates is not part of the answer. Competitors are being named, shortlisted, and ranked first in the firm's place.

Biggest Opportunity

Questions This Section Answers

  • Which buyer-intent cluster represents the firm's clearest path to a first qualified placement?
  • What prompts define the recommendation demand the firm is currently missing?
  • What type of public evidence do AI systems draw on in this category?

The single biggest opportunity is re-entry into the Brand Recommendation cluster, which is the only buyer-intent cluster the October 2026 benchmark currently measures. All 178 qualified observations in the category fell into this cluster, and the firm recorded zero presence in it.

The prompt examples attached to the cluster show the shape of the demand: queries such as "best divorce lawyer," "divorce lawyers near me," "military divorce lawyer," "high net worth divorce lawyers," and "collaborative divorce lawyer." These are explicit recommendation requests, and they are the prompts where the firm currently has no measurable position.

The path from absence to recommendation runs through the public evidence layer. The benchmark's citation data shows that AI systems in this category draw heavily on law firm domains, legal directories such as justia.com and attorneys.superlawyers.com, and video content via youtube.com. Establishing a retrievable, well-structured public evidence footprint in the Brand Recommendation cluster is the clearest route from no presence to first qualified presence.

Competitive Landscape

Questions This Section Answers

  • Which firms hold the strongest recommendation-stage positions in the October 2026 benchmark?
  • How does the firm's top-three rate and rank-1 rate compare to the rest of the tracked set?

Cordell & Cordell and Stange Law Firm hold the recommendation-stage strength in the October 2026 divorce lawyer benchmark, with Cordell & Cordell at 50.00% valid recommendation coverage and Stange Law Firm at 33.10%. Brian D. Perskin & Associates sits at the bottom of the tracked set with 0.00% coverage and no rank-eligible recommendations.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Cordell & Cordell

40.45%

19.10%

2.3977

0.7381

Stange Law Firm

29.78%

13.48%

2.0000

0.8769

McKinley Irvin

5.62%

2.81%

2.6154

0.9286

Goldberg Jones

3.37%

0.00%

3.7500

1.0000

Charles R. Ullman & Associates

2.81%

1.12%

2.6667

0.5455

Boyd Law

2.25%

0.00%

2.2500

0.6667

Sterling Lawyers

1.12%

0.00%

4.7500

0.2857

Berenji & Associates

0.56%

0.00%

2.0000

1.0000

Wilkinson & Finkbeiner

0.56%

0.56%

3.6667

1.0000

Brian D. Perskin & Associates

0.00%

0.00%

N/A

0.0000

Average recommended rank covers rank-eligible recommendations only.

Brian D. Perskin & Associates is the only tracked brand with a 0.00% top-three rate and no rank-eligible recommendations, which places it below every other firm in the set on both shortlist entry and first-position standing. The firm's sentiment score of 0.0000 reflects the absence of any classified mentions rather than a balance of positive and negative framing.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "best divorce lawyer" Result: Cordell & Cordell and Stange Law Firm were recommended in the top three, while Brian D. Perskin & Associates did not appear in the answer.

Google AI Mode / Brand Recommendation Prompt: "Who are some good divorce lawyers in Sedgwick County, KS?" Result: Cordell & Cordell was recommended, and the firm did not appear in the response.

Gemini / Brand Recommendation Prompt: "high net worth divorce lawyers" Result: Stange Law Firm reached rank-one placement on this prompt type, and Brian D. Perskin & Associates was not surfaced.

Perplexity / Brand Recommendation Prompt: "collaborative divorce lawyer" Result: McKinley Irvin and Stange Law Firm recorded qualified recommendations, while Brian D. Perskin & Associates recorded no presence.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every prompt, platform, and cluster where Brian D. Perskin & Associates is absent, and identify which competitor is being recommended in the firm's place on each one.

Phase 2: Recommendation Readiness Plan Prioritize the Brand Recommendation prompts where the firm has the strongest practice fit and the clearest path to a first qualified placement.

Phase 3: Owned Answer Layer Buildout Build firm-owned pages and structured content that directly answer the recommendation-shaped queries AI systems are fielding in this category.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer through legal directories, firm domain content, and retrievable source pages that AI systems can cite.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track mention presence, valid recommendation coverage, top-three rate, and rank-one rate month over month to confirm whether the firm is entering the shortlist.

Why This Matters

Questions This Section Answers

  • What distinguishes raw mention presence from valid recommendation coverage in this benchmark?
  • What is the immediate task for the firm to enter AI-generated shortlists?

AI-generated recommendations are forming buyer shortlists before a prospective client ever visits a firm's website. In the October 2026 divorce lawyer benchmark, every qualified observation was a recommendation request, and Brian D. Perskin & Associates was not part of a single answer. The firms that were named, shortlisted, and ranked first are capturing the recommendation moment in the firm's place.

Presence alone is not the goal. The benchmark separates raw mention presence from valid recommendation coverage for a reason: being mentioned is not the same as being chosen. For Brian D. Perskin & Associates, the immediate task is establishing a first qualified presence in the Brand Recommendation cluster, then converting that presence into shortlist placement. The next move is targeted correction of the prompt, page, and citation layers that determine whether AI systems can find, retrieve, and recommend the firm.

Core Metrics

Metric

Value

Mentions

0

Valid recommendations

0

Top 3 recommendation count

0

Rank #1 recommendation count

0

Average recommended rank

N/A

Positive mentions

0

Neutral mentions

0

Negative mentions

0

Raw mention presence rate

0.00%

Valid recommendation coverage

0.00%

Top 3 recommendation rate

0.00%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.0000

Strongest cluster by recommendation behavior

None recorded in the qualified benchmark

Strongest platform by recommendation behavior

None recorded in the qualified benchmark

Sentiment Score

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

For Brian D. Perskin & Associates, the sentiment score is 0.0000 because the firm recorded zero classified mentions in October 2026. There were no positive mentions, no neutral mentions, and no negative mentions to weigh.

This matters because unclassified mention counts are misleading. A firm with zero mentions and a firm with an equal number of positive and negative mentions can both produce a neutral-looking score, but they are in completely different positions. 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. For Brian D. Perskin & Associates, the score reflects absence rather than balance, and that distinction should be read clearly before any visibility work begins.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

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

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

AI Overviews

0

0

0

0

N/A

No public presence in this packet

AI Mode

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. This report is a benchmark-based analysis of AI-generated recommendation behavior in the Divorce Lawyers category for October 2026. It is not a client implementation result.
  2. The reporting window is October 2026, with comparison points drawn from the July 2026 baseline and the August and September 2026 monthly runs where the source benchmark provides them.
  3. Six AI and 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 248 source prompt-surface observations and 228 unique questions. Of these, 247 mentioned a tracked brand or competitor, 220 were relevant, 27 were irrelevant, and 178 qualified for the public benchmark.
  5. The competitor universe contains ten 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. The public benchmark uses three buyer-intent clusters: Brand Recommendation, Pricing & Value, and Multi-Brand Comparison. All 178 qualified observations in October 2026 fell into the Brand Recommendation cluster.
  7. Stage 0 extraction retains the query, AI or search surface, answer, brand outcome, recommendation placement, sentiment, and where exposed, citations or attributable evidence sources.
  8. A mention is counted when a tracked brand appears in an AI answer at all, regardless of whether it is recommended.
  9. A valid recommendation is counted when a tracked brand receives a clear, actionable recommendation in the answer. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
  10. Brand-level percentages use the 178 qualified observations as the public denominator, not the 248 source prompt-surface observations.
  11. The qualified surface breadth expanded from four families in July 2026 to six in October 2026, which broadens the denominator and should be weighed when interpreting coverage changes.
  12. Source presence is evidence about the information environment, not automatic proof that a source caused a recommendation. The benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, or private channels.

See How AI Is Recommending Your Brand

The October 2026 benchmark shows where Brian D. Perskin & Associates stands in AI-generated divorce lawyer recommendations, and where competitors are being named in its place. A company-level AI visibility audit maps the specific prompts, platforms, and citation sources that determine whether the firm enters the shortlist, and turns the benchmark's category-level findings into a prioritized plan for the Brand Recommendation cluster.

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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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