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

Answer Capsule

Brian D. Perskin & Associates holds a narrow but real position in AI-generated divorce lawyer recommendations, appearing in 2.05% of qualified observations with 1.54% valid recommendation coverage in September 2026. The firm earns a strong net sentiment score of 0.75, with no negative mentions recorded across the benchmark. Its clearest strength is placement efficiency: when recommended, the firm appears at an average rank of 2.0, and it secured its first rank-one placement after holding none in July 2026. The clearest weakness is scale, with only 4 total mentions and 3 valid recommendations across 195 qualified observations, leaving the firm far below the category leaders in AI search visibility and recommendation-stage presence.

Who This Report Is For

This report is for marketing and business development leaders at Brian D. Perskin & Associates who need to understand how AI systems currently recommend the firm to prospective divorce clients and where the firm stands against its competitive set.

Report Card

Executive Summary

Brian D. Perskin & Associates operates at the edge of the divorce lawyer AI recommendation market in September 2026. The analysis found the firm present in 4 of 195 qualified observations, a 2.05% raw mention presence rate, with 3 of those mentions converting to valid recommendations. This places the firm tenth among the ten tracked brands by valid recommendation coverage in this category.

The firm's recommendation profile is small but positive. Three of the 4 mentions carried positive framing, with 1 neutral mention also recorded, producing a net sentiment score of 0.75. No negative mentions appeared in the dataset. When the firm was recommended, it appeared at an average rank of 2.0, and it achieved 1 rank-one placement, a meaningful shift from July 2026 when the firm held no rank-one recommendations.

The strongest platform signal comes from Google AI Mode, where the firm recorded its only rank-one placement and its highest concentration of positive visibility. Google AI Overviews also surfaced the firm with positive framing, while ChatGPT, Copilot, Gemini, and Perplexity showed no meaningful recommendation-stage presence for the firm in this benchmark run.

The clearest gap is scale. Brian D. Perskin & Associates is being mentioned and recommended in only a small fraction of the observations where category leaders like Cordell & Cordell and Stange Law Firm appear. The firm's challenge is not framing quality, which is strong, but rather the breadth of its public evidence layer and the number of high-intent prompts where AI systems consider it at all.

What Brian D. Perskin & Associates Is Winning

Questions This Section Answers

• What evidence-backed strengths does Brian D. Perskin & Associates hold in AI recommendations?
• How did the firm achieve its first rank-one placement?
• What does the firm's average recommended rank of 2.0 indicate about its placement?

Brian D. Perskin & Associates has three evidence-backed strengths in the September 2026 benchmark.

First, the firm maintains a strong positive framing record. Three of its 4 mentions in the dataset were positive, with 1 neutral mention and no negative framing recorded. This is a clean public narrative with no cautionary or comparison-anchor framing to correct.

Second, the firm achieved its first rank-one recommendation. In July 2026, the firm held no rank-one placements. By September 2026, it recorded 1 rank-one recommendation, a 0.51% rank-one rate. This is a small but real improvement in recommendation placement.

Third, the firm shows strong placement efficiency when it is recommended. Its average recommended rank of 2.0 means that when AI systems do recommend the firm, they tend to place it near the top of the shortlist rather than burying it in a longer list. This suggests the firm's existing source footprint supports credible, high-quality recommendations even if it does not yet support broad visibility.

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

Questions This Section Answers

• How far does Brian D. Perskin & Associates trail category leaders in recommendation coverage?
• On which AI surfaces is the firm absent, and where is its presence concentrated?
• Which competitors are displacing the firm in AI recommendations?

The primary gap for Brian D. Perskin & Associates is recommendation-stage scale. The firm holds 1.54% valid recommendation coverage, while category leader Cordell & Cordell holds 30.26% and second-place Stange Law Firm holds 18.97%. The firm is present in AI answers, but it is rarely the firm being recommended to prospective divorce clients.

The firm is also absent from most of the tracked AI surfaces. ChatGPT, Copilot, Gemini, and Perplexity showed no qualified recommendations for the firm in September 2026. Its public recommendation presence is concentrated in Google AI Mode and Google AI Overviews. This concentration leaves the firm exposed if those surfaces shift their sourcing behavior, and it means the firm is invisible in a substantial portion of the AI-led discovery landscape.

Competitor displacement is visible in the data. When AI systems answer high-intent divorce lawyer prompts, they are recommending Cordell & Cordell, Stange Law Firm, and McKinley Irvin far more often than Brian D. Perskin & Associates. The firm's 3 valid recommendations compare unfavorably to Cordell & Cordell's 59, Stange Law Firm's 37, and McKinley Irvin's 16. The firm is being out-recommended by competitors with broader source footprints and more consistent presence across the prompt surface.

Biggest Opportunity

Questions This Section Answers

• What is the clearest opportunity for Brian D. Perskin & Associates to grow AI recommendation coverage?
• Why would expanding the firm's raw mention presence likely convert into more valid recommendations?

The clearest opportunity for Brian D. Perskin & Associates is converting its strong placement efficiency into broader recommendation coverage. The firm already ranks well when recommended, appearing at an average rank of 2.0, and it carries no negative framing. The constraint is that AI systems rarely surface the firm at all in high-intent prompt clusters.

The path forward is to expand the number of prompts where the firm is a candidate for recommendation. This means strengthening the public evidence layer that AI systems can retrieve and synthesize, particularly around the firm's practice areas, geographic footprint, and client outcomes. If the firm can increase its raw mention presence from 2.05% toward the levels held by mid-tier competitors like McKinley Irvin at 9.74%, its strong placement efficiency suggests a meaningful share of those new mentions would convert to valid recommendations.

Competitive Landscape

Questions This Section Answers

• Where does Brian D. Perskin & Associates rank against its tracked competitors by recommendation coverage?
• Which competitors lead the category, and how does the firm's sentiment compare?
• How does the firm's average recommended rank of 2.0 compare with firms that hold far more coverage?

Cordell & Cordell holds dominant recommendation-stage strength in the divorce lawyer category, with Stange Law Firm emerging as the strongest challenger. Brian D. Perskin & Associates sits at the bottom of the tracked competitive set by recommendation coverage, though it carries one of the strongest sentiment profiles in the category.

Average recommended rank covers rank-eligible recommendations only.

The table shows Brian D. Perskin & Associates tied with several competitors on top-three rate but trailing the category leaders by a wide margin. The firm's sentiment score of 0.75 is among the strongest in the competitive set, and its average recommended rank of 2.0 is competitive with firms that hold far more recommendation coverage.

Prompt Evidence

Questions This Section Answers

• On which prompt did Brian D. Perskin & Associates receive its only rank-one recommendation?
• Where did the firm appear with positive framing within the top three?
• Which major AI platform showed no qualified presence for the firm?

Google AI Mode / Best Divorce Lawyers & Top-Rated Family Law Attorneys Prompt: "best divorce lawyer" Result: Brian D. Perskin & Associates received its only rank-one recommendation of the benchmark run, appearing as the top choice in this high-intent discovery prompt.

Google AI Overviews / Best Divorce Lawyers & Top-Rated Family Law Attorneys Prompt: "child custody lawyers near me" Result: The firm appeared with positive framing and was recommended within the top three, reinforcing its placement efficiency on Google surfaces.

ChatGPT / Best Divorce Lawyers & Top-Rated Family Law Attorneys Prompt: "lawyers near me" Result: No qualified presence for Brian D. Perskin & Associates, indicating a gap in conversational AI recommendation coverage.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map the specific prompts and surfaces where Brian D. Perskin & Associates is absent but competitors are being recommended, identifying the highest-intent queries for remediation.

Phase 2: Recommendation Readiness Plan Strengthen the firm's owned content around practice areas, geographic service regions, and client selection criteria so AI systems have clear, retrievable material to cite.

Phase 3: Owned Answer Layer Buildout Develop authoritative pages that answer the specific high-intent questions where the firm wants to be recommended, matching the language and structure AI systems appear to favor.

Phase 4: Citation / Authority Layer Development Build the backlink-supported evidence layer that helps AI systems verify the firm's credentials, experience, and relevance for divorce and family law prompts.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor the firm's presence and recommendation coverage across all six AI surfaces to measure whether expanded visibility converts to valid recommendations at the rate its placement efficiency suggests.

Why This Matters

AI-generated recommendations are becoming a primary way prospective divorce clients identify which firms to contact. Brian D. Perskin & Associates currently earns strong framing and strong placement when it appears, but it rarely appears at all. In a category where the leader is recommended in 30.26% of qualified observations, a firm with 1.54% coverage is effectively absent from most AI-driven buyer shortlists.

Presence alone is not enough. The firm needs to be present in the prompts where clients are actively seeking recommendations, and it needs the citation and source architecture that makes AI systems confident in recommending it. The next move is targeted correction of the prompt, page, and citation layers to convert the firm's strong placement efficiency into broader recommendation coverage.

Core Metrics

Sentiment Score

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

For Brian D. Perskin & Associates, this is (3 × 1 + 1 × 0 + 0 × -1) / 4, producing a net sentiment score of 0.75.

This matters because unclassified mention counts are misleading. A firm can appear frequently in AI answers but carry negative or cautionary framing that discourages clients from contacting it. 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 it separates firms that are being recommended from firms that are merely being discussed.

Sentiment by Platform

Methodology

Questions This Section Answers

• How was the benchmark denominator for brand-level metrics determined?
• What is the difference between a mention and a valid recommendation in this analysis?
• Why should small-count movements for Brian D. Perskin & Associates be treated as directional signals?

1. This report is a benchmark-based analysis of Brian D. Perskin & Associates' visibility and recommendation performance in the Divorce Lawyers category, drawn from the LLM Authority Index AI Market Discovery Index and CiteWorks Studio's interpretation of that public benchmark. It is not a client implementation case study.
2. The reporting window is September 2026, with comparative reference to July 2026 and August 2026 baseline data where relevant.
3. Six AI surface families were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. The benchmark began with 259 prompt-surface observations, of which 238 were unique questions and 230 were relevant to the vertical. After qualification, 195 observations formed the public denominator for brand-level metrics.
5. The competitor universe included 10 tracked brands: Cordell & Cordell, Stange Law Firm, McKinley Irvin, Goldberg Jones, Sterling Lawyers, Charles R. Ullman & Associates, Boyd Law, Berenji & Associates, Wilkinson & Finkbeiner, and Brian D. Perskin & Associates.
6. All qualified observations in September 2026 fell into the Brand Recommendation buyer-intent class. The public benchmark does not yet contain qualified observations in pricing or multi-brand comparison classes.
7. Stage 0 extraction captured raw prompt-surface observations, which were then qualified for relevance and benchmark inclusion. Brand-level percentages use the qualified observation set as the denominator, not the raw collection.
8. A mention is defined as any qualified observation where the brand appears in the AI answer, regardless of whether it is recommended.
9. A valid recommendation is defined as a clear, actionable recommendation of the brand within a qualified observation. Neutral references, cautionary mentions, and comparison-anchor appearances are not counted as valid recommendations.
10. Small-count movements apply to this firm. Brian D. Perskin & Associates operates on 4 mentions and 3 valid recommendations, so percentage movements should be treated as directional signals rather than definitive shifts.
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 Brian D. Perskin & Associates stands in AI-generated divorce lawyer recommendations, but it does not explain which specific prompts and surfaces drive the firm's coverage or which competitors capture the recommendations the firm loses. A company-level AI visibility audit maps those patterns into a prioritized strategy for converting the firm's strong placement efficiency into broader recommendation coverage.