Trademark Registration Services AI Visibility Ranking Trends - November 2026

Answer capsule

The November 2026 Trademark Registration Services benchmark compares 10 companies across 576 AI answers that met its inclusion rules. LegalZoom leads with 219 recommendations (38.02% of answers). At least one tracked company was recommended in 285 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 Trademark Registration Services

Industry leaderboard

Questions This Section Answers

• How do Trademark Registration Services rank by recorded AI recommendations in November 2026?

The leaderboard orders companies by how many answers affirmatively recommended them, not by how often they appeared. A company can be mentioned widely yet recommended rarely, so mention counts and recommendation counts answer different questions. Ties reflect equal recommendation counts and should be read as shared positions rather than a hidden ordering.

Placement figures sit inside recommendations: a first-place result is also a shortlist result, and both are subsets of recommendations. They should not be summed with recommendation totals. Framing describes the wording around a mention and is separate from whether a recommendation was recorded.

Key findings

Tracked-company answer coverage

Questions This Section Answers

• How often did the November 2026 Trademark Registration Services answer sample recommend any tracked company?

285 distinct answers recommended at least one tracked company. Counting each company recommendation separately gives 708, because an answer can recommend several companies. Answers with no tracked recommendation may still have recommended companies outside this comparison.

Every included answer mentioned at least one tracked company, but only about half recorded an affirmative recommendation for any of them. Many answers named several tracked companies, so company-level totals exceed the number of answers that recommended anyone.

This overlap means coverage is not a measure of market dominance. An answer can discuss a company without endorsing it, and answers with no tracked recommendation may still have recommended firms outside this comparison.

Reach and affirmative recommendation

LegalZoom ranks 1 by recommendation count. Mentions: 532 (92.36%); recommendations: 219 (38.02%). Top 3 placements: 133 (23.09%); first-place placements: 31 (5.38%).

Wording about the company: 233 positive, 286 neutral, 13 negative mentions. The proportion of mentions that also included a recommendation was 41.2%. The net framing score was 0.41 (defined in Methodology).

313 mentions had no recorded recommendation. Of recorded recommendations, 60.73% were Top 3 and 14.16% were first-place.

LegalZoom illustrates why reach and endorsement diverge: it appeared in most answers but was affirmatively recommended in a smaller share. The remaining mentions carried no recorded recommendation, so presence alone overstates endorsement.

A recommendation requires both affirmative endorsement and positive wording, which is a stricter test than appearing in an answer. The gap between mentions and recommendations is a measurement distinction, not evidence about customers or sales.

Recommendation order and placement

Placement describes where a recommended company sat in the recorded answer, not an additional win. Top-three and first-place counts are nested within recommendations, so they cannot be added to recommendation totals or compared as if they shared a separate base.

Recommendation-to-mention ratios vary widely across companies and describe the recorded answers only. Where mention bases are small, a high ratio rests on few observations and should be read cautiously rather than as a stable pattern.

Classified framing in context

Framing classifies the wording surrounding each mention as positive, neutral or negative. Most mentions across companies were positive or neutral, with negative wording uncommon. Neutral wording is not an endorsement, and positive wording does not by itself establish why a recommendation was or was not recorded.

These classifications describe the selected answers, not customer sentiment or company quality. They should be read alongside recommendation counts rather than substituted for them.

Company results in detail

LegalZoom

Questions This Section Answers

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

LegalZoom ranks 1 by recommendation count. Mentions: 532 (92.36%); recommendations: 219 (38.02%). Top 3 placements: 133 (23.09%); first-place placements: 31 (5.38%).

Wording about the company: 233 positive, 286 neutral, 13 negative mentions. The proportion of mentions that also included a recommendation was 41.2%. The net framing score was 0.41 (defined in Methodology).

313 mentions had no recorded recommendation. Of recorded recommendations, 60.73% were Top 3 and 14.16% were first-place.

From October 2026 to November 2026, LegalZoom's mention count rose from 184 to 532, while its recommendation count rose from 65 to 219. The recommendation rate was 27.31% and 38.02% respectively.

LegalZoom leads on recommendation count while appearing in nearly every answer, giving it the broadest reach in the set. Its recommendation-to-mention ratio is moderate, meaning a substantial share of mentions carried no endorsement. Wording was mostly positive or neutral, with few negative mentions.

Its placements are concentrated in the top three rather than first place. The month-over-month comparison shows both mentions and recommendations higher than the prior sample, though the samples differ and the change's cause is not established.

ZenBusiness

Questions This Section Answers

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

ZenBusiness ranks 2 by recommendation count. Mentions: 442 (76.74%); recommendations: 207 (35.94%). Top 3 placements: 180 (31.25%); first-place placements: 96 (16.67%).

Wording about the company: 222 positive, 211 neutral, 9 negative mentions. The proportion of mentions that also included a recommendation was 46.8%. The net framing score was 0.48 (defined in Methodology).

235 mentions had no recorded recommendation. Of recorded recommendations, 86.96% were Top 3 and 46.38% were first-place.

From October 2026 to November 2026, ZenBusiness' mention count rose from 4 to 442, while its recommendation count rose from 0 to 207. The recommendation rate was 0.00% and 35.94% respectively.

ZenBusiness ranks second on recommendations with strong placement depth: a large majority of its recommendations landed in the top three, and nearly half took first place. Its recommendation-to-mention ratio is comparatively high, indicating that mentions frequently carried endorsement.

Wording skewed positive with few negatives. The prior month recorded no recommendations for ZenBusiness, but that sample was small and separate, so the shift does not demonstrate a cause or a durable trend.

Bizee (Incfile)

Questions This Section Answers

• What do the November 2026 AI answer results show about Bizee (Incfile) mentions, recommendations and placement?

Bizee (Incfile) ranks 3 by recommendation count. Mentions: 356 (61.81%); recommendations: 176 (30.56%). Top 3 placements: 151 (26.22%); first-place placements: 66 (11.46%).

Wording about the company: 185 positive, 168 neutral, 3 negative mentions. The proportion of mentions that also included a recommendation was 49.4%. The net framing score was 0.51 (defined in Methodology).

180 mentions had no recorded recommendation. Of recorded recommendations, 85.80% were Top 3 and 37.50% were first-place.

From October 2026 to November 2026, Bizee (Incfile)'s mention count rose from 83 to 356, while its recommendation count rose from 40 to 176. The recommendation rate was 16.81% and 30.56% respectively.

Bizee (Incfile) ranks third by recommendation count, and its recorded answers pair mentions with affirmative endorsements at a rate near half. Wording around the company was overwhelmingly positive or neutral, with negative framing rare. Placement within recommendations leans toward the top three, with a smaller first-place subset.

Both mention and recommendation counts were higher than in the prior selected sample, and the recommendation rate also differed. Because the monthly samples are separate and differ in size and composition, the comparison records change without explaining it.

Rocket Lawyer

Questions This Section Answers

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

Rocket Lawyer ranks 4 by recommendation count. Mentions: 169 (29.34%); recommendations: 71 (12.33%). Top 3 placements: 38 (6.60%); first-place placements: 9 (1.56%).

Wording about the company: 78 positive, 90 neutral, 1 negative mentions. The proportion of mentions that also included a recommendation was 42.0%. The net framing score was 0.46 (defined in Methodology).

98 mentions had no recorded recommendation. Of recorded recommendations, 53.52% were Top 3 and 12.68% were first-place.

From October 2026 to November 2026, Rocket Lawyer's mention count rose from 122 to 169, while its recommendation count rose from 48 to 71. The recommendation rate was 20.17% and 12.33% respectively.

Rocket Lawyer sits in the middle of the ranking with moderate reach and a recommendation-to-mention ratio close to the leaders. Its placements are less top-heavy, with a modest first-place share relative to its recommendations. Wording was largely positive or neutral.

Mentions rose from the prior sample while the recommendation rate was lower, so the two measures moved differently. That pattern describes the recorded answers and does not establish why.

Trademark Engine

Questions This Section Answers

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

Trademark Engine ranks 5 by recommendation count. Mentions: 35 (6.08%); recommendations: 13 (2.26%). Top 3 placements: 10 (1.74%); first-place placements: 2 (0.35%).

Wording about the company: 13 positive, 22 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 37.1%. The net framing score was 0.37 (defined in Methodology).

22 mentions had no recorded recommendation. Of recorded recommendations, 76.92% were Top 3 and 15.38% were first-place.

From October 2026 to November 2026, Trademark Engine's mention count fell from 164 to 35, while its recommendation count fell from 67 to 13. The recommendation rate was 28.15% and 2.26% respectively.

Trademark Engine has limited reach in this sample, and its recommendations are few. Most of its recommendations were top-three placements, but the small base makes that proportion fragile. Wording was positive or neutral with no negatives.

Both mentions and recommendations were lower than the prior sample, and the recommendation rate fell as well. The separate samples do not explain the decline, and smaller totals alone do not account for it.

Swyft Filings

Questions This Section Answers

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

Swyft Filings ranks 6 by recommendation count. Mentions: 40 (6.94%); recommendations: 10 (1.74%). Top 3 placements: 5 (0.87%); first-place placements: 3 (0.52%).

Wording about the company: 10 positive, 26 neutral, 4 negative mentions. The proportion of mentions that also included a recommendation was 25.0%. The net framing score was 0.15 (defined in Methodology).

30 mentions had no recorded recommendation. Of recorded recommendations, 50.00% were Top 3 and 30.00% were first-place.

From October 2026 to November 2026, Swyft Filings' mention count rose from 7 to 40, while its recommendation count rose from 0 to 10. The recommendation rate was 0.00% and 1.74% respectively.

Swyft Filings appears in a small share of answers and was recommended in fewer still, giving it a low recommendation-to-mention ratio. Its placements are split, with a notable first-place share resting on very few recommendations. Negative wording was more visible here than for most peers.

Mentions and recommendations both rose from the prior sample, which had recorded no recommendations. The small base limits how much weight these proportions can bear.

Trademarkia

Questions This Section Answers

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

Trademarkia ranks 7 by recommendation count. Mentions: 15 (2.60%); recommendations: 8 (1.39%). Top 3 placements: 6 (1.04%); first-place placements: 4 (0.69%).

Wording about the company: 10 positive, 5 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 53.3%. The net framing score was 0.67 (defined in Methodology).

7 mentions had no recorded recommendation. Of recorded recommendations, 75.00% were Top 3 and 50.00% were first-place.

From October 2026 to November 2026, Trademarkia's mention count fell from 126 to 15, while its recommendation count fell from 32 to 8. The recommendation rate was 13.45% and 1.39% respectively.

Trademarkia has narrow reach but a high recommendation-to-mention ratio, meaning the mentions it did receive often carried endorsement. Half of its recommendations took first place, a strong placement pattern built on a small number of observations. Wording was positive or neutral with no negatives.

Both mentions and recommendations were lower than the prior sample. The comparison records the change; it does not show why the counts fell.

Trademark Factory

Questions This Section Answers

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

Trademark Factory ranks 8 by recommendation count. Mentions: 8 (1.39%); recommendations: 4 (0.69%). Top 3 placements: 1 (0.17%); first-place placements: 0 (0.00%).

Wording about the company: 4 positive, 4 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 50.0%. The net framing score was 0.50 (defined in Methodology).

4 mentions had no recorded recommendation. Of recorded recommendations, 25.00% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Trademark Factory's mention count fell from 40 to 8, while its recommendation count fell from 16 to 4. The recommendation rate was 6.72% and 0.69% respectively.

Trademark Factory appears rarely and was recommended in only a handful of answers. Its recommendation-to-mention ratio is high, but the base is very small, so the proportion should be read as indicative rather than stable. Only one recommendation reached the top three, and none took first place.

Wording was evenly positive and neutral. Mentions and recommendations were both lower than the prior sample, a recorded change the separate samples do not explain.

Gerben IP

Questions This Section Answers

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

Gerben IP ranks 9 by recommendation count. Mentions: 2 (0.35%); 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, Gerben IP's mention count fell from 50 to 2, while its recommendation count fell from 26 to 0. The recommendation rate was 10.92% and 0.00% respectively.

Gerben IP was mentioned in only a couple of answers and received no affirmative recommendations, so its recommendation, placement and ratio figures are zero or undefined. The two mentions carried neutral wording, which is not an endorsement.

Both mentions and recommendations were lower than the prior sample. A zero here is a measured result for this answer set, not a missing observation, and the sparse base limits interpretation.

Heer Law

Questions This Section Answers

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

Heer Law ranks 9 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, Heer Law's mention count stayed at 0, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

Heer Law recorded no mentions and no recommendations in this sample, so its placement counts are also zero and its ratios are undefined rather than zero. This is a measured absence within the tracked answers, not evidence about the firm's standing more broadly.

The prior sample likewise recorded nothing for Heer Law. With no observations, no framing classification applies, and the result should be read as limited to this answer set.

Earlier ranking snapshot context

Questions This Section Answers

• How do the available Trademark Registration Services 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.

Each month is a separate sample of AI answers, and the number of included answers differs across months. Counts and rates therefore are not directly comparable as if drawn from one fixed panel, and rank changes between months should be read with that in mind.

A higher or lower count in one month does not establish a trend, a cause or a durable shift in standing. The history shows recorded results across selected samples, not a continuous measure of the same population.

What the November Rankings Show

The November results show that reach, recommendation, placement and framing answer different questions. A company can appear in most answers yet be endorsed in fewer, and a strong placement pattern can rest on a small number of recommendations. Reading these measures together gives a fuller picture than any single column.

Recommendation counts order the leaderboard, but they do not measure customer behavior, product quality or market share. Framing describes wording, not sentiment, and ratios describe recorded answers rather than conversion. The separate monthly samples record change without explaining it.

Methodology

Questions This Section Answers

• How were the November 2026 Trademark Registration Services AI visibility measures counted, and what do they not establish?

This benchmark has partial coverage: 3 of 3 planned question categories contributed usable observations; 0 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; 10 tracked companies. AI services represented: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity.

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 covers a partial set of AI answers, and the exact collection dates were not verified. Each company is counted at most once per answer, and recommendation, placement and mention rates share the full answer total. Top-three and first-place results are nested within recommendations, not added to them.

The recommendation-to-mention ratio and net framing describe answer wording, not customers, sales or company quality. One answer can mention several companies, so company totals overlap. Monthly samples differ in size and services covered, so comparisons show recorded change without establishing its cause.