Heer Law AI Market Strategy Report - Trademark Registration Services

Answer Capsule

Heer Law recorded zero mentions and zero valid recommendations across all three months of the September 2026 LLM Authority Index benchmark for Trademark Registration Services. The brand is absent from every qualified observation in the dataset, while LegalZoom leads the category at 65.7% valid recommendation coverage and ZenBusiness holds the strongest average recommended rank at 1.54. Heer Law's clearest weakness is complete non-appearance in AI-generated recommendations for trademark registration services. Its clearest opportunity is the same: the category is actively recommending brands in response to high-intent trademark questions, and Heer Law is not part of that conversation at all.

Who This Report Is For

This report is for Heer Law's leadership, marketing, and business development teams, and for any trademark or intellectual property services firm evaluating why some brands enter AI-generated shortlists while others remain invisible.

Report Card

Executive Summary

Heer Law does not appear in the September 2026 LLM Authority Index benchmark for Trademark Registration Services. Across 178 qualified observations spanning six AI and search surfaces, the brand recorded zero mentions, zero valid recommendations, zero top-three placements, and zero rank-one placements. Its raw mention presence rate, valid recommendation coverage, and net sentiment score all sit at 0.0.

This is not a case of weak recommendation conversion or poor framing. It is complete absence from the AI-generated answer layer that buyers now use to build trademark service shortlists. Every other tracked brand in the category, including the smallest players, recorded at least some presence. Gerben IP appeared in 2.2% of observations. Trademark Factory appeared in 1.7%. Swyft Filings appeared in 2.8%. Heer Law appeared in none.

The benchmark's qualified observations all fell into the Brand Recommendation cluster, which captures prompts where buyers ask AI systems which trademark service to use. This is the highest-intent discovery moment in the category. LegalZoom was recommended in 65.7% of these observations, ZenBusiness in 50.6%, and Bizee (Incfile) in 47.8%. Heer Law was recommended in none.

The category itself is contracting at the recommendation layer. Valid recommendation shortlist share fell from 76.3% in July 2026 to 69.7% in September 2026, and recommendation-shaped answer share declined from 30.1% to 28.7% over the same period. AI systems are becoming slightly more selective about which brands they name. For a brand with zero current presence, this tightening makes entry harder, not easier.

The benchmark also shows that the category's recommendation layer is concentrated. The top three brands by valid recommendation coverage (LegalZoom, ZenBusiness, and Bizee) account for the majority of recommendation activity. The remaining seven tracked brands share a thin tail of visibility. Heer Law is not even in that tail.

The clearest gap is structural: Heer Law has no detectable footprint in the public evidence layer that AI systems appear to draw from when generating trademark service recommendations. The benchmark does not measure why a brand is absent, but the pattern is consistent with a brand that is not surfacing in the source types, page formats, or citation contexts that AI systems retrieve and synthesize.

What Heer Law Is Winning

The benchmark data does not show any category-level wins for Heer Law in September 2026. The brand recorded zero presence across all six tracked platforms, zero valid recommendations, and zero top-three or rank-one placements. No cluster, platform, or prompt type produced a measurable Heer Law signal.

This is stated plainly because the data is unambiguous. Unlike lower-tier brands such as Gerben IP or Trademark Factory, which recorded small but nonzero recommendation pockets, Heer Law has no recommendation pocket to build on. The starting point is zero.

Where Heer Law Has the Clearest AI Visibility Gaps

Heer Law's visibility gap is total. The brand does not appear in any of the 178 qualified observations that make up the September 2026 public benchmark. This means it is absent from every AI-generated recommendation, every ranked list, every shortlist, and every comparison context that the benchmark captured.

The gap is most consequential in the Brand Recommendation cluster, which is the only active cluster in the current public series. When buyers ask AI systems which trademark registration service to use, Heer Law is not part of the answer. Competitors with similar or smaller traditional search footprints, such as Gerben IP and Trademark Factory, do appear in a small number of these answers. Heer Law does not.

The platform-level data reinforces the pattern. Heer Law recorded zero mentions on ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. This is not a single-platform gap. It is a cross-platform absence.

Compared to the category leader, the gap is stark. LegalZoom appeared in 97.2% of qualified observations and was recommended in 65.7%. ZenBusiness appeared in 66.8% and was recommended in 50.6%. Even the lowest-tier brands with any presence recorded mention rates between 1.7% and 7.3%. Heer Law's 0.0% presence rate places it below every other tracked brand in the category.

The benchmark cannot determine why Heer Law is absent. It does not measure organic search rankings, backlink profiles, or source citation patterns directly. But the absence is consistent with a brand that is not part of the public evidence layer that AI systems appear to retrieve from when generating trademark service recommendations.

Biggest Opportunity

Heer Law's single biggest opportunity is to establish a baseline presence in the Brand Recommendation cluster. The category is actively generating recommendations in response to high-intent trademark questions, and every other tracked brand has at least some presence. The first goal is not to outrank LegalZoom or ZenBusiness. It is to appear at all.

This means building the owned answer layer and citation architecture that AI systems can retrieve and synthesize. The benchmark shows that AI systems are recommending brands in this category. The question for Heer Law is whether the brand's public evidence layer gives those systems anything to work with.

Competitive Landscape

Questions This Section Answers

• Which trademark registration brands lead the category by recommendation coverage and placement quality?
• What do the top-three and rank-one rates reveal about ZenBusiness, Bizee, and LegalZoom compared to the rest of the field?
• How does Heer Law's zero-presence row compare to the lowest-tier brands that still recorded some recommendation activity?

LegalZoom holds the strongest recommendation-stage position in the category by coverage, while ZenBusiness holds the strongest placement quality. Heer Law sits outside the recommendation layer entirely, with no measurable presence across any tracked platform or cluster.

Average recommended rank covers rank-eligible recommendations only.

Heer Law's row shows zero across every recommendation metric. The brand has no rank-eligible recommendations, so average recommended rank is not applicable. Its sentiment score is 0.0 because it has no mentions to classify. Every other tracked brand, including those with only one or two valid recommendations, recorded at least some measurable presence.

Prompt Evidence

Questions This Section Answers

• What high-intent trademark prompts did Heer Law fail to appear in across ChatGPT, Google AI Overviews, Perplexity, and Google AI Mode?
• Which competitors were recommended instead of Heer Law in those prompt examples?

The benchmark's public prompt examples are drawn from the Brand Recommendation cluster. The following prompts illustrate the types of high-intent questions where Heer Law did not appear.

ChatGPT / Brand Recommendation Prompt: "What is the best trademark company to use?" Result: LegalZoom, ZenBusiness, and Bizee (Incfile) were recommended. Heer Law was not mentioned.

Google AI Overviews / Brand Recommendation Prompt: "best trademark service" Result: ZenBusiness and LegalZoom appeared in top-three positions. Heer Law was absent.

Perplexity / Brand Recommendation Prompt: "trademark registration services" Result: LegalZoom was recommended in 95.0% of Perplexity observations. Heer Law recorded zero presence on this platform.

Google AI Mode / Brand Recommendation Prompt: "trademark registration" Result: LegalZoom, ZenBusiness, and Bizee (Incfile) were the dominant recommendations. Heer Law did not appear.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map every high-intent trademark prompt where Heer Law is absent, identify which competitors are being recommended instead, and document the source types and page formats AI systems appear to retrieve.

Phase 2: Recommendation Readiness Plan Define the specific prompt clusters, buyer stages, and comparison contexts where Heer Law should appear, and prioritize the gaps where the brand has the clearest path to entry.

Phase 3: Owned Answer Layer Buildout Build the service pages, comparison content, and structured answer assets that give AI systems clear, retrievable material to synthesize when generating trademark service recommendations.

Phase 4: Citation / Authority Layer Development Develop the public evidence layer, including third-party references, industry sources, and citation-ready assets, that AI systems appear to draw from when forming recommendations in this category.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Heer Law's presence, recommendation coverage, top-three rate, and sentiment across all six platforms on a monthly basis, and measure progress against the category benchmark.

Why This Matters

Questions This Section Answers

• Why is absence from AI-generated trademark recommendations a more fundamental problem than weak presence?
• What does the difference between LegalZoom's high presence and declining top-three rate say about the limits of visibility alone?

AI systems are now generating trademark service recommendations in response to high-intent buyer questions. The September 2026 benchmark shows that LegalZoom, ZenBusiness, and Bizee (Incfile) are the default answers in this category, while brands like Heer Law are not part of the conversation at all. For a buyer asking an AI system which trademark service to use, Heer Law does not exist.

Presence alone is not enough. The benchmark shows that even brands with strong presence, such as LegalZoom at 97.2%, can see their top-three and rank-one rates decline. But absence is a more fundamental problem. A brand that is not mentioned cannot be recommended, and a brand that is not recommended cannot be shortlisted. The next move for Heer Law is to build the prompt, page, and citation layers that give AI systems a reason to include the brand in the answer.

Core Metrics

Sentiment Score

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

Heer Law's sentiment score is 0.0 because the brand recorded zero mentions across all 178 qualified observations. With no mentions to classify as positive, neutral, or negative, the score has no basis.

This matters because sentiment scoring requires classified mentions. A brand with zero mentions is not the same as a brand with neutral sentiment. Neutral sentiment means the brand was mentioned but not framed positively or negatively. Zero mentions means the brand was not part of the answer at all. For Heer Law, the issue is not how the brand is framed. It is that the brand is not being framed at all.

Counting raw mentions as a win is bad measurement. Counting zero mentions as neutral sentiment is equally misleading. Heer Law's absence from the AI recommendation layer is a visibility problem, not a sentiment problem, and it requires a different set of corrective actions.

Sentiment by Platform

Methodology

1. This report is a benchmark-based analysis of Heer Law's position in the Trademark Registration Services category, using the September 2026 LLM Authority Index AI Market Discovery Index as the primary data source.
2. The reporting window covers July 2026 through September 2026, with September 2026 as the current reporting month.
3. Six AI and search surfaces were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
4. The September 2026 benchmark analyzed 178 qualified observations. The raw collection universe was 800 prompt-surface observations, of which 443 were relevant to the trademark services vertical and 178 survived both qualification stages.
5. The competitor universe includes 10 tracked brands: LegalZoom, ZenBusiness, Bizee (Incfile), Rocket Lawyer, Trademark Engine, Trademarkia, Gerben IP, Trademark Factory, Swyft Filings, and Heer Law.
6. All qualified observations in the current public series fell into the Brand Recommendation cluster, which captures discovery and consideration prompts. The Pricing & Value and Multi-Brand Comparison clusters recorded zero qualified observations.
7. Stage 0 extraction retained the query, AI surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources.
8. A mention is defined as any appearance of the brand in an AI-generated response, regardless of whether the brand was recommended.
9. A valid recommendation is defined as an observation where the brand appears in a recommendation context and is marked as a valid recommendation by the dataset. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations unless explicitly marked.
10. Ranking interpretation: top-three rate measures how often a brand appears in the first three recommendation positions. Rank-one rate measures how often a brand is the first recommendation. Average recommended rank covers rank-eligible recommendations only.
11. 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.
12. Heer Law recorded zero mentions, zero valid recommendations, and zero presence across all three months of the benchmark series. No platform-level or cluster-level metrics are available for the brand.

See Where Your Brand Stands in AI Recommendations

The September 2026 benchmark shows which brands AI systems are recommending in the Trademark Registration Services category and which brands are not part of the conversation. A company-level AI visibility audit maps the specific prompts, platforms, and source patterns that determine whether your brand appears in AI-generated shortlists. It shows where competitors are being recommended instead and what it would take to enter the answer.