Trademark Factory AI Visibility Market Strategy Report - Trademark Registration Services

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Trademark Factory has 2.45% valid recommendation coverage, placing it well behind category leaders like LegalZoom and ZenBusiness.
  • Every Trademark Factory mention in the benchmark was positive, giving the brand a perfect net sentiment score of 1.0.
  • The brand appears mainly on Perplexity and Google AI Overviews, with no presence on ChatGPT, Gemini, or Google AI Mode.
  • Trademark Factory’s biggest opportunity is expanding its citation footprint so AI systems can retrieve and recommend it more often.

Answer Capsule

Trademark Factory holds a small but stable position in AI-generated recommendations for trademark registration services, with 2.45% valid recommendation coverage in October 2026. The brand is visible but under-recommended: it appears in 2.45% of qualified AI responses and converts those mentions into valid recommendations at the same rate, with no rank-one placements. The clearest win is a perfect net sentiment score of 1.0 with zero negative mentions. The clearest weakness is near-total absence from the recommendation stage, where competitors like LegalZoom and ZenBusiness dominate. The clearest opportunity is converting its positive framing into top-three placements by strengthening the citation and evidence layer that AI systems retrieve when forming recommendations.

Who This Report Is For

This report is for Trademark Factory's marketing, brand, and growth leadership, and for anyone evaluating how the brand appears in AI-generated recommendations for trademark registration services.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Trademark Factory

Category / market studied

Trademark Registration Services

Reporting month

October 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity)

Public high-intent clusters

1

AI observations analyzed

163

Competitors tracked

9

Executive Summary

Trademark Factory is visible but under-recommended in AI-generated recommendations for trademark registration services. The brand recorded 4 total mentions across 163 qualified observations in October 2026, a raw mention presence rate of 2.45%. All 4 mentions converted to valid recommendations, giving the brand a valid recommendation coverage of 2.45%, identical to its presence rate. Every time AI systems mention Trademark Factory, they recommend it, but they mention it very rarely.

The brand's net sentiment score is 1.0, the highest possible, with 4 positive mentions and zero neutral or negative mentions. This is a meaningful signal: when Trademark Factory appears in AI responses, the framing is uniformly positive. The challenge is not characterization but frequency.

Trademark Factory's strongest cluster is C01, Best Trademark Registration Services, which is the only cluster with sufficient data in the October 2026 benchmark. Within this cluster, the brand recorded 4 valid recommendations and 1 top-three placement, with an average recommended rank of 4.0 when it receives rank credit. It recorded zero rank-one placements.

The brand's strongest platform signal is Perplexity, where it recorded 2 valid recommendations, followed by Google AI Overviews, where it recorded 1 valid recommendation and 1 top-three placement. However, Trademark Factory has no presence on ChatGPT, Copilot, Gemini, or Google AI Mode in the October 2026 data.

The clearest gap is the brand's near-total absence from the recommendation stage. LegalZoom leads the category with 65.00% valid recommendation coverage, followed by ZenBusiness at 53.37%. Trademark Factory's 2.45% coverage places it eighth among ten tracked brands, ahead of only Gerben IP and Heer Law. The brand is being recommended, but at a fraction of the rate of the category leaders.

The clearest opportunity is to convert Trademark Factory's positive framing into broader recommendation coverage. The brand's perfect sentiment score suggests that when AI systems do retrieve information about Trademark Factory, the information is favorable. The gap is in the source footprint and citation architecture that would make the brand more retrievable across a wider range of high-intent prompts.

What Trademark Factory Is Winning

Questions This Section Answers

  • Why is Trademark Factory's perfect sentiment score a meaningful signal despite low recommendation coverage?
  • How does Trademark Factory's average recommended rank compare to category leaders like LegalZoom and ZenBusiness?

Trademark Factory's clearest win is its net sentiment score of 1.0, the highest in the category alongside Gerben IP. The brand recorded 4 positive mentions and zero neutral or negative mentions across 163 qualified observations in October 2026. AI systems frame Trademark Factory positively whenever they mention it.

The brand also recorded a 100% conversion rate from mentions to valid recommendations. All 4 mentions of Trademark Factory in October 2026 were valid recommendations, meaning the brand was not merely referenced but actively recommended. This is a meaningful signal about how AI systems characterize the brand when they do surface it.

Trademark Factory recorded 1 top-three placement in October 2026, giving it a top-three rate of 0.61%. While this is a small absolute number, it indicates that the brand can achieve placement near the top of AI-generated recommendations when the right conditions are met.

The brand's average recommended rank of 4.0 is competitive with mid-tier brands. For context, LegalZoom's average recommended rank is 2.88, ZenBusiness is 1.66, and Bizee (Incfile) is 2.85. Trademark Factory's average rank of 4.0 places it in the middle of the pack when it does receive rank credit.

Where Trademark Factory Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Which AI platforms show zero Trademark Factory recommendations, and where is its presence concentrated?
  • Why does Trademark Factory's absence from the top 10 cited domains matter for its retrieval in AI recommendations?
  • How far behind LegalZoom and ZenBusiness is Trademark Factory's valid recommendation coverage?

Trademark Factory's clearest gap is its near-total absence from the recommendation stage across most AI platforms. The brand recorded zero mentions on ChatGPT, Gemini, and Google AI Mode in October 2026. Its entire recommendation presence is concentrated on Perplexity (2 valid recommendations) and Google AI Overviews (1 valid recommendation and 1 top-three placement).

This platform concentration is a vulnerability. If AI systems shift their retrieval patterns, or if competitors strengthen their presence on Perplexity and Google AI Overviews, Trademark Factory's already-small footprint could shrink further.

The brand's coverage gap relative to category leaders is substantial. LegalZoom holds 65.00% valid recommendation coverage, ZenBusiness holds 53.37%, and Bizee (Incfile) holds 49.69%. Trademark Factory's 2.45% coverage is less than one-twentieth of the leader's rate. Even Rocket Lawyer, which declined significantly across the baseline-to-current series, holds 25.77% coverage, more than ten times Trademark Factory's rate.

Trademark Factory's top-three rate of 0.61% is the lowest among tracked brands with any top-three placements. Gerben IP recorded a 1.23% top-three rate, Swyft Filings recorded 1.23%, and Trademarkia recorded 1.84%. Trademark Factory's single top-three placement places it at the bottom of the placement distribution.

The brand's rank-one rate is 0.00%. Trademark Factory recorded zero rank-one placements in October 2026. By contrast, ZenBusiness recorded a 30.06% rank-one rate, LegalZoom recorded 15.34%, and even Trademark Engine recorded 3.68%. The brand is not being positioned as the first recommendation in any qualified observation.

The citation layer offers a partial explanation. The top 10 cited domains in the October 2026 benchmark include zenbusiness.com at rank 4, legalzoom.com at rank 5, and bizee.com at rank 10. Trademark Factory's own domain does not appear among the top 10 cited sources. The benchmark observed 6,427 citations across 1,020 unique domains, with the top 10 domains accounting for 37.9% of all citations. Trademark Factory's absence from this layer suggests the brand's owned content is not being retrieved or cited at scale.

Biggest Opportunity

Questions This Section Answers

  • How can Trademark Factory convert its positive AI framing into broader recommendation coverage?
  • Which third-party domains and competitor-owned sources would expanding Trademark Factory's citation footprint target?

Trademark Factory's biggest opportunity is to convert its positive framing into broader recommendation coverage by strengthening the citation and evidence layer that AI systems retrieve when forming recommendations. The brand's perfect sentiment score and 100% mention-to-recommendation conversion rate indicate that AI systems characterize Trademark Factory favorably when they surface it. The gap is in retrievability.

The brand's presence is concentrated on Perplexity and Google AI Overviews, with no recommendation presence on ChatGPT, Gemini, or Google AI Mode. Expanding the brand's source footprint across the domains AI systems cite most frequently, including youtube.com, forbes.com, reddit.com, and nerdwallet.com, could increase the likelihood that Trademark Factory is retrieved across a wider range of high-intent prompts.

The benchmark's top 10 cited domains include three competitor-owned domains: zenbusiness.com, legalzoom.com, and bizee.com. These brands have built owned content that AI systems retrieve and cite. Trademark Factory's absence from this layer suggests an opportunity to develop owned content that answers the questions AI systems are asking about trademark registration services.

Competitive Landscape

Questions This Section Answers

  • Which brands lead trademark registration services in top-three and rank-one AI recommendation rates?
  • Where does Trademark Factory place among the ten tracked brands on top-three rate and average recommended rank?

LegalZoom and ZenBusiness hold the strongest recommendation-stage positions in trademark registration services, with LegalZoom leading by valid recommendation coverage and ZenBusiness leading by top-three and rank-one rates. Trademark Factory sits in the lower tier, with coverage and placement rates well below the category leaders.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

ZenBusiness

50.92%

30.06%

1.66

0.8018

Bizee (Incfile)

39.88%

3.68%

2.85

0.8384

LegalZoom

36.20%

15.34%

2.88

0.7215

Rocket Lawyer

13.50%

2.45%

3.17

0.8103

Trademark Engine

8.59%

3.68%

1.64

0.4118

Trademarkia

1.84%

0.61%

3.00

0.5455

Gerben IP

1.23%

0.00%

3.33

1.0000

Swyft Filings

1.23%

0.00%

4.00

0.6250

Trademark Factory

0.61%

0.00%

4.00

1.0000

Heer Law

0.00%

0.00%

N/A

0.0000

Average recommended rank covers rank-eligible recommendations only.

Trademark Factory's 0.61% top-three rate places it ninth among ten tracked brands, ahead of only Heer Law, which recorded zero presence. The brand's 0.00% rank-one rate ties it with Gerben IP and Swyft Filings at the bottom of the placement distribution. Its average recommended rank of 4.00 is the least favorable among brands with rank-eligible recommendations, tied with Swyft Filings.

Prompt Evidence

Questions This Section Answers

  • Which prompts produced Trademark Factory's only top-three placement and valid recommendations?
  • On which high-intent prompts was Trademark Factory notably absent from AI recommendations?

Perplexity / Best Trademark Registration Services Prompt: "trademark registration services" Result: Trademark Factory appeared as a valid recommendation, contributing to its 2 valid recommendations on Perplexity.

Google AI Overviews / Best Trademark Registration Services Prompt: "How much does it cost to register a trademark in the US?" Result: Trademark Factory received 1 valid recommendation and 1 top-three placement, its only top-three finish in October 2026.

Google AI Overviews / Best Trademark Registration Services Prompt: "What is the best online legal document service?" Result: Trademark Factory was not mentioned, illustrating the brand's absence from broader legal services prompts.

Perplexity / Best Trademark Registration Services Prompt: "What is the best company to use to start an LLC?" Result: Trademark Factory was not mentioned, showing the brand's limited presence in adjacent business formation prompts.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map Trademark Factory's current presence across all six tracked AI platforms, identifying the specific prompts and clusters where the brand appears and where it is absent.

Phase 2: Recommendation Readiness Plan Assess the brand's owned content, structured data, and public evidence layer to identify gaps that prevent AI systems from retrieving and recommending Trademark Factory across a wider range of high-intent prompts.

Phase 3: Owned Answer Layer Buildout Develop content that directly answers the questions AI systems ask about trademark registration services, including pricing, comparison, and selection prompts where Trademark Factory currently has no presence.

Phase 4: Citation / Authority Layer Development Strengthen the brand's presence in the third-party sources AI systems cite most frequently, including video platforms, news outlets, and community forums, to increase retrievability across platforms.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Trademark Factory's recommendation coverage, top-three rate, and rank-one rate month over month to measure progress and identify emerging gaps.

Why This Matters

AI presence alone is not enough. Trademark Factory is mentioned in AI responses and receives positive framing when it appears, but it is rarely recommended and never positioned first. In a category where buyers increasingly rely on AI-generated recommendations to form their shortlist, being absent from the recommendation stage means being absent from the buyer's consideration set.

The next move is targeted correction of the prompt, page, and citation layers. Trademark Factory's perfect sentiment score indicates that the brand's story resonates when AI systems retrieve it. The opportunity is to make that story more retrievable across a wider range of high-intent prompts and platforms.

Core Metrics

Metric

Value

Mentions

4

Valid recommendations

4

Top 3 recommendation count

1

Rank #1 recommendation count

0

Average recommended rank

4.00

Positive mentions

4

Neutral mentions

0

Negative mentions

0

Raw mention presence rate

2.45%

Valid recommendation coverage

2.45%

Top 3 recommendation rate

0.61%

Rank #1 recommendation rate

0.00%

Net sentiment score

1.0000

Strongest cluster by recommendation behavior

Best Trademark Registration Services (C01)

Strongest platform by recommendation behavior

Perplexity (2 valid recommendations)

Sentiment Score

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

Trademark Factory's sentiment score is (4 × 1 + 0 × 0 + 0 × -1) / 4 = 1.0000.

This matters because unclassified mention counts are misleading. A brand with 100 mentions could have 50 negative mentions and 50 positive mentions, resulting in a sentiment score of 0.00, or it could have 100 positive mentions, resulting in a sentiment score of 1.00. The raw mention count alone does not distinguish between these scenarios.

Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility.

Trademark Factory's perfect sentiment score indicates that AI systems frame the brand positively whenever they mention it. This is a meaningful signal about the brand's reputation in the AI-generated information environment. However, the small sample size (4 mentions) means the score should be interpreted with caution.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Copilot

1

1

0

0

1.0000

Positive, but sample too small

Gemini

0

0

0

0

N/A

No public presence in this packet

Google AI Mode

0

0

0

0

N/A

No public presence in this packet

Google AI Overviews

1

1

0

0

1.0000

Positive, but sample too small

Perplexity

2

2

0

0

1.0000

Positive, but sample too small

Methodology

  1. This report is a benchmark-based analysis of Trademark Factory's AI visibility and recommendation coverage in the trademark registration services category. It is not a client implementation case study.
  2. The reporting month is October 2026. The benchmark series covers July 2026 through October 2026, with October 2026 as the current measurement period.
  3. The AI platforms tracked are ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, and Perplexity. Platform-level metrics are reported only for platforms where Trademark Factory recorded at least one mention.
  4. The October 2026 benchmark analyzed 163 qualified observations. The raw collection universe was 800 prompt-surface observations, with 526 unique questions after deduplication.
  5. The competitor universe includes 10 tracked brands: LegalZoom, ZenBusiness, Bizee (Incfile), Rocket Lawyer, Trademark Engine, Trademarkia, Swyft Filings, Trademark Factory, Gerben IP, and Heer Law.
  6. The public benchmark includes one high-intent cluster with sufficient data: Best Trademark Registration Services (C01). Two additional clusters, Trademark Registration Service Comparisons (C02) and Trademark Registration Service Pricing and Costs (C03), recorded no qualified observations in October 2026.
  7. Stage 0 extraction retains the query, AI or search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment, not proof that the source caused the recommendation.
  8. A mention is defined as any appearance of Trademark Factory in an AI response, regardless of whether the brand is recommended. A valid recommendation is defined as an appearance where the brand is explicitly recommended or shortlisted.
  9. Coverage percentages use the qualified observation count (163 in October 2026) as the denominator. Month-to-month denominators differ across the series, ranging from 163 in October 2026 to 178 in September 2026.
  10. Trademark Factory operates on 4 valid recommendations. Percentage movements reflect single-digit count changes and should be read with that context.
  11. Directional analysis: Month-over-month and baseline-to-current movement identify changes worth investigating. They do not by themselves establish the cause of those changes.
  12. Limitations: The public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone.

See How AI Is Recommending Your Brand

Trademark Factory's perfect sentiment score and 100% mention-to-recommendation conversion rate indicate that AI systems characterize the brand favorably when they surface it. The opportunity is to make that story more retrievable across a wider range of high-intent prompts and platforms. A company-level AI visibility audit maps the prompt, surface, competitor, ranking, sentiment, and evidence-source patterns that shape AI-generated recommendations into a prioritized visibility strategy.

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Understanding AI search visibility.

AI search experiences create answers by pulling information from many places online and summarizing it into a single response.

What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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