Law Firms AI Visibility Ranking Trends - November 2026

Answer capsule

The November 2026 Law Firms benchmark compares 7 companies across 3 AI answers that met its inclusion rules. Barley Snyder, Eckert Seamans, McCormick Law Firm, McNees Wallace & Nurick, Obermayer, Saxton & Stump, Stevens & Lee share the lead with 0 recommendations each (0.00% of answers). At least one tracked company was recommended in 0 answers; some answers recommended several companies.

The rankings distinguish being mentioned from receiving an affirmative recommendation, then examine placement and the wording used about each company. Earlier monthly results show how counts and rates changed, with each month using its own answer total. These results describe the answers reviewed, not product quality or customer satisfaction. Differences between monthly samples limit comparisons and do not establish why a result changed.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Law Firms

Industry leaderboard

Questions This Section Answers

• How do Law Firms rank by recorded AI recommendations in November 2026?

The leaderboard orders companies by recommendation count, so a shared count produces a shared rank rather than a unique winner. Here every tracked company records no recommendations, leaving the ranking tied at the top. That tie should be read as equal recorded counts, not as evidence that the companies are equivalent in reach or standing.

Mentions, recommendations and placements answer different questions. A mention is an appearance in an answer; a recommendation is an affirmative endorsement. Placement describes where a recommendation sits. Because placements are nested within recommendations, a company with no recommendations also has no placements, and its mention count alone does not lift it in this ranking.

Key findings

Tracked-company answer coverage

Questions This Section Answers

• How often did the November 2026 Law Firms answer sample recommend any tracked company?

0 distinct answers recommended at least one tracked company. Counting each company recommendation separately gives 0, because an answer can recommend several companies. Answers with no tracked recommendation may still have recommended companies outside this comparison.

Coverage describes how many included answers touched at least one tracked company. Every qualified answer mentioned a tracked company, yet none recommended one. Those two results are compatible: an answer can name a firm without endorsing it, and the mention measure captures presence while the recommendation measure captures affirmative support.

Coverage is not market dominance. Answers can mention several companies, so company totals overlap and cannot be summed into a market share. Answers with no tracked recommendation may still have recommended firms outside this comparison, so the absence here describes the tracked set only.

Reach and affirmative recommendation

Barley Snyder ranks 1 by recommendation count. Mentions: 1 (33.33%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 1 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 0.0%. The net framing score was 0.00 (defined in Methodology).

1 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

Eckert Seamans ranks 1 by recommendation count. Mentions: 2 (66.67%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 2 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 0.0%. The net framing score was 0.00 (defined in Methodology).

2 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

McCormick Law Firm ranks 1 by recommendation count. Mentions: 0 (0.00%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was Unavailable. The net framing score was Unavailable (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

McNees Wallace & Nurick ranks 1 by recommendation count. Mentions: 0 (0.00%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was Unavailable. The net framing score was Unavailable (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

Obermayer ranks 1 by recommendation count. Mentions: 0 (0.00%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was Unavailable. The net framing score was Unavailable (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

Saxton & Stump ranks 1 by recommendation count. Mentions: 0 (0.00%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was Unavailable. The net framing score was Unavailable (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

Stevens & Lee ranks 1 by recommendation count. Mentions: 0 (0.00%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was Unavailable. The net framing score was Unavailable (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

Reach and recommendation diverge sharply in these answers. Barley Snyder and Eckert Seamans each appear in at least one answer, but neither receives an affirmative recommendation, so their recommendation counts remain zero despite nonzero mentions. Presence in an answer is therefore not the same as being put forward as a choice.

The shared first rank reflects equal recommendation counts, not a unique leader. With no recommendations recorded, placement counts are also zero, and ratios that require a nonzero recommendation base are undefined rather than missing. The mention totals are small, so any rate should be read alongside that limited base.

Recommendation order and placement

Placement measures where a recommendation appears in an answer's ordering. Top-three and first-place results are subsets of recommendations, not separate wins, so they cannot be added to recommendation counts. With no recommendations recorded for any tracked company, every placement count is zero as well.

The recommendation-to-mention ratio divides endorsements by appearances. For Barley Snyder and Eckert Seamans the ratio is zero because mentions occurred without recommendations; for companies with no mentions the ratio is undefined. These ratios describe recorded answer wording, not customer conversion or sales outcomes.

Classified framing in context

Framing classifies the wording surrounding a company's appearances. Barley Snyder's single mention and Eckert Seamans' two mentions were all classified as neutral, with no positive or negative wording recorded. Neutral framing means the language neither praised nor criticized the firm; it does not establish why a recommendation was or was not made.

Companies with no mentions have no framing to classify, so their net framing score is unavailable rather than zero sentiment. Framing is not customer sentiment or a measure of company quality, and a neutral classification should not be read as a judgment about the firm's reputation.

Company results in detail

Barley Snyder

Questions This Section Answers

• What do the November 2026 AI answer results show about Barley Snyder mentions, recommendations and placement?

Barley Snyder ranks 1 by recommendation count. Mentions: 1 (33.33%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 1 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 0.0%. The net framing score was 0.00 (defined in Methodology).

1 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

From October 2026 to November 2026, Barley Snyder's mention count fell from 3 to 1, while its recommendation count fell from 2 to 0. The recommendation rate was 20.00% and 0.00% respectively.

Barley Snyder appears in one answer, classified as neutral, but receives no affirmative recommendation. Its placement counts are therefore zero, and its recommendation-to-mention ratio is zero because the mention carried no endorsement. The single mention is a thin base, so the rate should be read with that limitation in mind.

Compared with the prior month, both its mention count and its recommendation count were lower. That recorded comparison does not establish why the change occurred, and the monthly answer samples differ.

Eckert Seamans

Questions This Section Answers

• What do the November 2026 AI answer results show about Eckert Seamans mentions, recommendations and placement?

Eckert Seamans ranks 1 by recommendation count. Mentions: 2 (66.67%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 2 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 0.0%. The net framing score was 0.00 (defined in Methodology).

2 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

From October 2026 to November 2026, Eckert Seamans' mention count fell from 3 to 2, while its recommendation count fell from 1 to 0. The recommendation rate was 10.00% and 0.00% respectively.

Eckert Seamans appears in two answers, both classified as neutral, yet neither appearance includes an affirmative recommendation. Its placement counts remain zero, and its recommendation-to-mention ratio is zero. The mention base is small, so the ratio is best read as a description of these answers rather than a stable tendency.

Its mention count and recommendation count were both lower than in the prior month. The comparison is recorded, but the differing monthly samples mean the change cannot be attributed to a specific cause.

McCormick Law Firm

Questions This Section Answers

• What do the November 2026 AI answer results show about McCormick Law Firm mentions, recommendations and placement?

McCormick Law Firm ranks 1 by recommendation count. Mentions: 0 (0.00%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was Unavailable. The net framing score was Unavailable (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

From October 2026 to November 2026, McCormick Law Firm's mention count fell from 1 to 0, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

McCormick Law Firm records no mentions and no recommendations in the included answers. Its placement counts are observed zeros, not missing values; only ratios that require a nonzero base, such as the recommendation-to-mention proportion and the net framing score, are unavailable.

Its mention count was lower than in the prior month while its recommendation count stayed at zero. That comparison describes the recorded samples only and does not explain the change.

McNees Wallace & Nurick

Questions This Section Answers

• What do the November 2026 AI answer results show about McNees Wallace & Nurick mentions, recommendations and placement?

McNees Wallace & Nurick ranks 1 by recommendation count. Mentions: 0 (0.00%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was Unavailable. The net framing score was Unavailable (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

From October 2026 to November 2026, McNees Wallace & Nurick's mention count fell from 2 to 0, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

McNees Wallace & Nurick records no mentions and no recommendations in the included answers. Its placement counts are observed zeros rather than gaps in the record; only ratios needing a nonzero base, including the recommendation-to-mention proportion and net framing score, are unavailable.

Its mention count was lower than in the prior month while its recommendation count stayed at zero. The monthly samples differ, so the comparison should not be read as a trend with an identified cause.

Obermayer

Questions This Section Answers

• What do the November 2026 AI answer results show about Obermayer mentions, recommendations and placement?

Obermayer ranks 1 by recommendation count. Mentions: 0 (0.00%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was Unavailable. The net framing score was Unavailable (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

From October 2026 to November 2026, Obermayer's mention count fell from 1 to 0, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

Obermayer records no mentions and no recommendations in the included answers. Its placement counts are observed zeros, not missing observations; only ratios that require a nonzero base, such as the recommendation-to-mention proportion and net framing score, are unavailable.

Its mention count was lower than in the prior month while its recommendation count stayed at zero. That recorded comparison does not establish why the mention count changed, and the answer samples differ between months.

Saxton & Stump

Questions This Section Answers

• What do the November 2026 AI answer results show about Saxton & Stump mentions, recommendations and placement?

Saxton & Stump ranks 1 by recommendation count. Mentions: 0 (0.00%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was Unavailable. The net framing score was Unavailable (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

From October 2026 to November 2026, Saxton & Stump's mention count stayed at 0, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

Saxton & Stump records no mentions and no recommendations in the included answers. Its placement counts are observed zeros rather than absent data; only ratios requiring a nonzero base, including the recommendation-to-mention proportion and net framing score, are unavailable.

Its mention count and recommendation count were both unchanged from the prior month, each remaining at zero. Stability across two selected samples does not establish that the result will persist, and the monthly samples differ.

Stevens & Lee

Questions This Section Answers

• What do the November 2026 AI answer results show about Stevens & Lee mentions, recommendations and placement?

Stevens & Lee ranks 1 by recommendation count. Mentions: 0 (0.00%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was Unavailable. The net framing score was Unavailable (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

From October 2026 to November 2026, Stevens & Lee's mention count stayed at 0, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

Stevens & Lee records no mentions and no recommendations in the included answers. Its placement counts are observed zeros, not missing observations; only ratios that require a nonzero base, such as the recommendation-to-mention proportion and net framing score, are unavailable.

Its mention count and recommendation count were both unchanged from the prior month, each remaining at zero. That recorded stability across two samples does not establish a durable pattern, and the monthly answer samples differ.

Earlier ranking snapshot context

Questions This Section Answers

• How do the available Law Firms snapshots from July 2026 to November 2026 differ in recommendation coverage and measurement scope?

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

The monthly snapshots are separate selected samples of AI answers, not a continuous panel. Counts and rates should be read together, since a rate depends on both the number of recorded mentions and the total number of answers in that month's sample. Smaller answer totals in later months do not by themselves explain why a company's counts or rates fell.

Rank positions across months reflect those differing samples and should not be read as evidence of stable standing or of improvement and decline in a competitive sense. The comparisons show how recorded results changed; they do not establish why.

What the November Rankings Show

These results separate four questions that are easy to conflate. Reach asks whether a company appears at all; recommendation asks whether an answer affirmatively endorses it; placement asks where an endorsement sits; framing asks how the surrounding wording reads. A firm can be present without being recommended, as the mention-only profiles show, and neutral wording can accompany either outcome.

The leaderboard's shared top rank follows from equal recommendation counts, not from a unique winner. Coverage shows that tracked companies were mentioned in every included answer while none were recommended, which is a statement about these answers rather than about the market. Framing classifications describe wording, not customer sentiment or company quality, and the ratios describe recorded answers rather than conversion.

Because the answer base is small and the monthly samples differ, the results are best treated as a description of the reviewed answers. They do not establish causes, durable standing or comparisons beyond the tracked set.

Methodology

Questions This Section Answers

• How were the November 2026 Law Firms AI visibility measures counted, and what do they not establish?

This benchmark has partial coverage: 1 of 3 planned question categories contributed usable observations; 2 contributed none. This describes question-category coverage, not demonstrated platform outages. Findings apply to the available answer set.

The month in the title is the reporting period. The exact dates when the original AI answers were collected have not been verified.

Each company is counted at most once in each answer that meets the benchmark rules. A recommendation requires both an affirmative endorsement and positive wording. Mention, recommendation, Top 3 and first-place rates use the full benchmark answer total. Top 3 and first-place results are included within recommendations, not added to them.

The recommendation-to-mention ratio divides recommendations by mentions. It describes AI answer wording, not customer conversion. Net framing is positive minus negative mentions, divided by all mentions, on a scale from -1 to +1. It does not measure customer satisfaction or company quality.

Market: US; 7 tracked companies. AI services represented: ChatGPT, Gemini, Google AI Overviews.

Research screening totals (answer observations can include repeated questions):

The source does not provide a reader-facing definition of “reserved”; that screening label is reported without inferring a reason for exclusion. Only the included benchmark answers form the rate denominator.

One answer can mention or recommend several companies. Adding company totals would therefore count some answers more than once. The results describe the AI answers reviewed, not independently verified facts about the companies or their products.

Monthly sample coverage:

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

This benchmark has partial coverage: only one of three planned question categories contributed usable observations. Findings apply to the available answer set, and the exact collection dates for the original AI answers have not been verified.

Each company is counted at most once per qualifying answer. Recommendation requires both affirmative endorsement and positive wording, and top-three and first-place results are nested within recommendations rather than added to them. Rates use the full benchmark answer total, and one answer can mention several companies, so company totals overlap.

The recommendation-to-mention ratio describes answer wording, not customer conversion. Net framing runs from negative to positive and does not measure customer satisfaction or company quality. Monthly samples differ, so comparisons show recorded change without establishing why it occurred.