How AI Search Is Recommending Divorce Lawyers: Monthly Trends

Executive Summary

Cordell & Cordell remains the category leader in the divorce lawyer AI recommendation benchmark, but its valid recommendation coverage fell from 41.9% in July 2026 to 31.0% in August 2026, a decline of 10.9 points that moved beyond normal month-to-month variation. Despite this decline, Cordell & Cordell still leads the category by a wide margin, with its 31.0% coverage sitting 15.0 points ahead of the second-place firm, Stange Law Firm, which reached 16.0% in August 2026.

Stange Law Firm posted the largest increase in the category, with valid recommendation coverage rising from 12.3% in July 2026 to 16.0% in August 2026, a gain of 3.7 points that stayed within normal month-to-month variation. The firm's rank-one recommendation rate climbed from 2.2% to 5.3%, and its raw mention presence rose from 19.0% to 27.3%, positioning it as the clear second option in the category.

The sharpest declines were concentrated among three other brands beyond the leader: Goldberg Jones fell 10.8 points from 14.5% to 3.7%, McKinley Irvin dropped 9.2 points from 15.6% to 6.4%, and Wilkinson & Finkbeiner declined 4.6 points from 7.3% to 2.7%. Together with Cordell & Cordell, four brands moved beyond normal month-to-month variation in August 2026, while the remaining six tracked brands were stable. This was a month of movement for the category, with four significant decliners and no significant risers.

This benchmark tracked 240 prompt-surface observations (227 unique questions) in August 2026, up from 212 prompts (201 unique questions) in July 2026. Of the August prompts, 240 mentioned a tracked brand or competitor, with 207 relevant and 33 irrelevant; 187 qualified observations survived both qualification stages, compared with 179 in July 2026.

Key Findings

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

Qualified surface breadth rose from four to five AI/search families between July and August 2026, reflecting the addition of ChatGPT to the qualified set. This changes the denominator against which brand-level coverage is measured, which is a relevant qualification when interpreting the movements below.

Benchmark-Level Metrics

The recommendation-shaped answer share and valid recommendation shortlist share both moved down alongside the surface-breadth change, which is worth weighing before treating any single brand's movement as isolated from the broader shift in what the benchmark surface is producing this month.

AI Recommendation Trend

Cordell & Cordell Leads a Tightening Category

Four brands moved beyond normal month-to-month variation in August 2026, all in the downward direction: Cordell & Cordell, Goldberg Jones, McKinley Irvin, and Wilkinson & Finkbeiner. Stange Law Firm's gain and the remaining five brands' shifts stayed within normal range, meaning the category-level change is concentrated in the four decliners rather than spread evenly across all ten tracked firms.

What Changed This Month

Cordell & Cordell

Cordell & Cordell's valid recommendation coverage fell from 41.9% in July 2026 to 31.0% in August 2026, a decline of 10.9 points that moved beyond normal month-to-month variation for the brand.

The firm's raw mention presence remained high at 70.0% in August 2026, down slightly from 71.5% in July. The top-three recommendation rate fell from 30.7% to 21.9%, while rank-one recommendations declined from 13.4% to 11.8%. These secondary metrics did not individually move beyond typical variation, but together they show a leader that is still widely present yet less frequently positioned at the top of AI-generated shortlists.

The distinction to notice is between presence and recommendation. Cordell & Cordell was mentioned in 131 of 187 qualified observations in August 2026, but recommended in 58 of them, down from 75 of 179 in July 2026.

Highest-priority diagnostic: Which prompt types shifted away from recommending Cordell & Cordell, and which firms are taking those recommendation slots when it is not selected?

Stange Law Firm

Stange Law Firm posted the largest gain in the category, with valid recommendation coverage rising from 12.3% in July 2026 to 16.0% in August 2026, a gain of 3.7 points. This movement stayed within normal month-to-month variation, but it moved the firm into a clear second-place position.

The firm's raw mention presence rose from 19.0% to 27.3%, and its rank-one recommendation rate climbed from 2.2% to 5.3%. Stange Law Firm recorded 30 valid recommendations in August 2026, up from 22 in July, and 10 rank-one placements versus 4 previously.

The distinction here is that Stange Law Firm's gains came from both broader presence and stronger placement. Its top-three rate rose from 11.2% to 12.3%, suggesting the firm is appearing in more conversations and holding its position when recommended.

Highest-priority diagnostic: Which specific prompts and surfaces drove the rank-one gains, and which competitor is losing those placements to Stange Law Firm?

Goldberg Jones

Goldberg Jones recorded the sharpest decline in the category, with valid recommendation coverage falling from 14.5% in July 2026 to 3.7% in August 2026, a drop of 10.8 points that moved well beyond normal month-to-month variation.

The firm's raw mention presence fell from 15.6% to 4.8%, also beyond normal variation. Goldberg Jones recorded 7 valid recommendations in August 2026, down from 26 in July, and lost all of its rank-one placements, falling from 6 to 0.

The distinction to notice is that this was both a presence and a recommendation decline. Goldberg Jones was mentioned in 28 of 179 observations in July and in 9 of 187 in August, suggesting the firm exited a substantial share of AI-generated conversations.

Highest-priority diagnostic: Which prompt families previously surfaced Goldberg Jones but no longer do, and which firms are capturing those mentions?

McKinley Irvin

McKinley Irvin declined from 15.6% valid recommendation coverage in July 2026 to 6.4% in August 2026, a drop of 9.2 points that moved beyond normal month-to-month variation.

The firm's raw mention presence fell from 16.8% to 10.2%, and its top-three recommendation rate declined from 10.6% to 5.3%. McKinley Irvin recorded 12 valid recommendations in August 2026, down from 28 in July, with rank-one placements falling from 6 to 3.

The distinction here is that McKinley Irvin's presence decline was less severe than its recommendation decline, meaning the firm remained in conversation but was recommended less often when mentioned.

Highest-priority diagnostic: What changed in how AI systems characterize McKinley Irvin when it is mentioned but not recommended?

Wilkinson & Finkbeiner

Wilkinson & Finkbeiner declined from 7.3% valid recommendation coverage in July 2026 to 2.7% in August 2026, a drop of 4.6 points that moved beyond normal month-to-month variation.

The firm's raw mention presence fell from 7.3% to 2.7%, a parallel decline. Wilkinson & Finkbeiner recorded 5 valid recommendations in August 2026, down from 13 in July, with rank-one placements declining from 6 to 3.

The distinction to notice is that even with the overall decline, 3 of the firm's 5 current valid recommendations were rank-one placements, suggesting it remains strongly preferred on the occasions it is surfaced.

Highest-priority diagnostic: Which geographic or practice-area prompts previously surfaced Wilkinson & Finkbeiner, and where did those mentions migrate?

Buyer-Intent Interpretation

All 187 qualified observations in August 2026 fell into the Brand Recommendation cluster, the same pattern as July 2026 when all 179 qualified observations also fell into that cluster. The public benchmark therefore cannot yet answer questions about pricing, value, or head-to-head comparison dynamics in the divorce lawyer vertical. Prompts framed around pricing appeared in 6 observations in August 2026, up from 2 in July, suggesting AI systems are fielding some cost-related queries, but the qualified analysis set does not yet capture a distinct pricing or comparison cluster.

Brand Opportunity Summary

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence does not by itself establish causation.

Methodology, metrics, and category standards for this research program are documented at AI Industry Market Discovery Methodology, AI Industry Market Discovery Metrics, and AI Industry Market Discovery Standards.

Interpretation Notes

• Small-count movements: Several brands in this category operate on small absolute counts. Berenji & Associates (2 valid recommendations), Brian D. Perskin & Associates (2), and Boyd Law (5) move on single-digit observation changes; treat percentage movements for these firms as directional signals, not definitive shifts.
• Qualified denominator vs raw collection: Public metrics use the qualified observation set (187 in August 2026, 179 in July), not the full prompt collection (240 and 212 respectively). Brand-level percentages are calculated within the qualified set.
• Directional analysis: Movement between months identifies changes worth investigating but does not by itself establish the cause of those changes. The qualified surface breadth expansion from four to five families in August 2026 broadens the denominator and should be weighed when interpreting coverage changes.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath the aggregate coverage percentages sit the questions that matter: which high-intent prompts are being won, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each option, and which external sources shape those answers. The August 2026 data shows four brands moving beyond normal variation, all downward, while Stange Law Firm posted the category's largest gain without crossing that same bar—but the benchmark alone cannot explain what drove these shifts or which specific queries changed hands.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. Understanding which particular questions and surfaces drive a firm's coverage is the difference between reacting to a percentage change and acting on the underlying cause.

Request an AI visibility audit