How AI Search Is Recommending Trademark Registration Services: Monthly Trends

Executive Summary

LegalZoom retains the category leadership for AI-driven trademark registration recommendations in September 2026, but the composition of the leading tier has shifted meaningfully since July. LegalZoom's valid recommendation coverage stands at 65.7%, down 8.3 points from 74.0% in July, with the gap to second-place ZenBusiness now at 15.1 points. ZenBusiness sits at 50.6%, up 4.4 points from August's 46.2% and back near its July starting point of 54.9%.

Rocket Lawyer is the largest decliner across the three-month series, with valid recommendation coverage down 16.4 points from 42.8% in July to 26.4% in September, a two-month declining streak. Bizee (Incfile) also shows a significant baseline-to-current decline of 10.6 points from 58.4% to 47.8%, and Trademark Engine is down 7.2 points from 16.2% to 9.0%. ZenBusiness is the strongest upward mover from August to September, gaining 4.4 points.

This month's category movement did not produce a single significant change from August. Instead, the September picture reflects the accumulated effect of several multi-month declines reshaping the middle and lower tiers of the category, even as the leader held stable. Bizee (Incfile), Rocket Lawyer, and Trademark Engine each show significant declines when measured from the July baseline.

Each monthly run begins with 800 prompt-surface observations (472 unique questions in July, 517 in August, 525 in September) across the benchmark's defined AI/search surface universe. Of those, all 800 in each month mentioned a tracked brand or competitor; 449 prompts in July, 424 in August, and 443 in September were relevant, while 351, 376, and 357 respectively were irrelevant. The public metrics use the 173 qualified observations in July, 143 in August, and 178 in September that survive both qualification stages.

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.

Benchmark-Level Metrics

August 2026 serves as an intermediate month rather than a comparison column. The category leader held across all three months, but the spread between the top tier and the rest of the field compressed as LegalZoom, ZenBusiness, and several mid-tier brands all settled lower than their July levels.

AI Recommendation Trend

Leadership Stable, Second Tier Tightening

LegalZoom has held the category lead across all three months, but its September coverage of 65.7% sits 8.3 points below its July baseline, and its top-three rate declined 16.9 points from 43.9% to 27.0% over the same period. ZenBusiness, at 50.6%, has re-established a clearer hold on second place after August's near tie with Bizee (Incfile).

The September month itself produced no brand movement beyond normal month-to-month variation. The notable shifts in this category are cumulative: Bizee (Incfile), Rocket Lawyer, and Trademark Engine each show significant declines when measured from July to September, driven by consecutive months of downward movement rather than any single abrupt change.

What Changed This Month

Rocket Lawyer: Two-Month Decline Reshapes the Mid-Tier

Rocket Lawyer's valid recommendation coverage fell 16.4 points from 42.8% in July to 26.4% in September, the largest significant decline in the category across the series. The brand recorded 47 valid recommendations out of 178 qualified observations in September, down from 74 out of 173 in July.

The decline is broad-based across supporting metrics. Raw mention presence fell 15.0 points from 54.9% to 39.9%, meaning Rocket Lawyer is surfaced in fewer answers overall. Its top-three rate also fell, down 7.8 points from 17.9% to 10.1%, while rank-one positioning held roughly steady at 3.4% versus 2.9% in July.

Rocket Lawyer's loss is not just a recommendation problem; it is a presence problem. The brand appears in fewer AI answers and is recommended less often within those answers. Net sentiment held relatively steady at 0.7 in September versus 0.8 in July, suggesting the change is about how often the brand enters the conversation rather than how it is characterized when mentioned.

Highest-priority diagnostic: Which surfaces or prompt categories reduced Rocket Lawyer's presence, and which brands are appearing in the answers where it previously surfaced?

Bizee (Incfile): Significant Baseline Decline, Modest September Stabilization

Bizee (Incfile) recorded valid recommendation coverage of 47.8% in September, down 10.6 points from 58.4% in July, a significant decline. The brand recorded 85 valid recommendations out of 178 qualified observations, down from 101 out of 173 in July.

The September picture is more stable than the August drop. Bizee (Incfile) gained 0.9 points from August's 46.9%, within the normal range of month-to-month variation. Raw mention presence at 61.2% in September is down 4.7 points from July's 65.9%, and its top-three rate of 30.9% is down 4.9 points from 35.8% in July, both within normal variation.

The distinction to notice is that Bizee (Incfile) lost ground in July-to-August and has since held roughly steady. Its rank-one rate of 3.9% in September is actually up 1.0 points from July's 2.9%, suggesting the brand still secures the top slot in a small but consistent set of answers.

Highest-priority diagnostic: Which competitor captured the coverage Bizee (Incfile) lost between July and August, and did that transfer happen on specific AI surfaces?

Trademark Engine: Continued Slide Into the Lower Tier

Trademark Engine's valid recommendation coverage fell 7.2 points from 16.2% in July to 9.0% in September, a significant decline. The brand recorded 16 valid recommendations out of 178 qualified observations in September, down from 28 out of 173 in July.

Raw mention presence fell from 26.6% to 21.9%, a 4.7-point decline within normal variation, while the top-three rate dropped 3.6 points from 9.8% to 6.2%. Rank-one positioning slipped from 1.7% to 1.1%. Net sentiment declined from 0.6 in July to 0.4 in September.

Trademark Engine's slide is steady rather than abrupt, with the largest single-month move being 5.0 points from August to September. The pattern suggests a gradual erosion across presence and recommendation rather than a single trigger.

Highest-priority diagnostic: Which prompt categories still generate Trademark Engine's remaining recommendations, and what distinguishes the answers where it appears from those where it does not?

LegalZoom: Leader Rebounding From August Low

LegalZoom's valid recommendation coverage rose 3.5 points from 62.2% in August to 65.7% in September, though it remains 8.3 points below July's 74.0%. The brand recorded 117 valid recommendations out of 178 qualified observations in September.

The headline coverage masks a sharper movement in placement. LegalZoom's top-three rate fell 16.9 points from 43.9% in July to 27.0% in September, and its rank-one rate dropped 10.2 points from 22.0% to 11.8%. Raw mention presence held essentially flat at 97.2%, up 0.7 points from 96.5%.

LegalZoom is still present in nearly every answer, but it is being placed in top positions far less often than in July. The brand's average recommended rank moved from 2.63 to 2.96, meaning when it is recommended, it appears lower in the list.

Highest-priority diagnostic: Which answer formats, such as ranked lists versus shortlists, are driving the decline in LegalZoom's top-three and rank-one placements?

ZenBusiness: Regaining Second-Place Distance

ZenBusiness's valid recommendation coverage rose 4.4 points from 46.2% in August to 50.6% in September, the largest upward move from the prior month. The brand recorded 90 valid recommendations out of 178 qualified observations in September, up from 66 out of 143 in August.

The top-three rate of 44.9% in September is down 5.4 points from July's 50.3%, and rank-one positioning fell 7.7 points from 34.7% to 27.0%, both within normal variation. ZenBusiness's average recommended rank of 1.54 is the strongest in the category, meaning when the brand is recommended, it tends to appear at or near the top.

ZenBusiness has the most favorable average position of any tracked brand, even as its overall coverage sits below LegalZoom. The brand's raw mention presence of 66.8% is up 1.5 points from July, indicating it is entering more conversations while its recommendation share settles.

Highest-priority diagnostic: Which prompt categories produce ZenBusiness's strong top-three placements, and can that pattern be traced to specific evidence sources?

Gerben IP, Swyft Filings, Trademark Factory, Trademarkia, Heer Law: Lower-Tier Stability

Gerben IP held flat at 1.7% valid recommendation coverage in September, with 3 valid recommendations out of 178 qualified observations and 2 top-three finishes. Raw mention presence edged up from 1.7% in July to 2.2%, with 4 total mentions in September.

Swyft Filings declined from 4.0% in July to 1.1% in September, recording 2 valid recommendations out of 178 observations. Trademark Factory declined to 1.7% from 2.3% in July, with 3 valid recommendations. Trademarkia slipped from 5.8% to 4.5% with 8 valid recommendations, and its presence declined from 8.1% to 7.3%.

The notable gap series shows Gerben IP and Heer Law each trailing Rocket Lawyer by a shrinking margin, from roughly 41 to 42 points in July to roughly 25 to 26 points in September, driven by Rocket Lawyer's decline rather than gains from either brand.

Heer Law recorded zero mentions, zero recommendations, and zero presence across all three months.

Highest-priority diagnostic: For Gerben IP, which prompts continue to produce its consistent top-three placements? For Heer Law, does the absence reflect commercial question scope or the underlying evidence sources?

Buyer-Intent Interpretation

In July, August, and September 2026, all qualified observations fell into the Brand Recommendation cluster. The response-type distribution for September shows 48 recommendation-shortlist responses and 51 ranked lists out of 178 qualified observations, with 16 pricing-analysis responses appearing within the broader recommendation context.

Because no qualified observations fell into the Pricing & Value or Multi-Brand Comparison clusters, the public benchmark cannot yet answer questions about which brand AI systems associate with price leadership or which brand wins direct head-to-head comparisons. The current data shows only which brand is recommended when a buyer asks for a general recommendation.

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 is not automatically treated as proof of causation.

About This Benchmark

This report is part of CiteWorks Studio's AI Industry Market Discovery research program.

• AI Industry Market Discovery Methodology
• AI Industry Market Discovery Metrics
• AI Industry Market Discovery Standards

Report-Specific Interpretation Notes

• Small-count movements: brands like Gerben IP, Swyft Filings, and Trademark Factory operate on 2-3 valid recommendations. Their percentage movements reflect single-digit changes and should be read with that context.
• Qualified denominator: All coverage percentages use the qualified observation count (178 in September) as the denominator, not the raw 800-prompt collection universe.
• Month-over-month analysis identifies changes worth investigating; it does not establish cause.
• Several significant movements in this report are measured from the July baseline to September and reflect cumulative multi-month change rather than a single-month event.

Next Step

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

The aggregate percentage hides the questions that matter: which high-intent prompts is a brand winning, which competitor takes the recommendation when it loses, what attributes AI systems associate with each option, and which external sources shape those answers. A brand with 65.7% coverage could be losing every comparison prompt while winning all direct recommendation prompts, or vice versa. The gap between LegalZoom's stable presence of 97.2% and its declining top-three rate of 27.0% is precisely the kind of pattern that only a prompt-level inspection can explain.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. It turns the benchmark's "what" into an actionable "why" and "where next."

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