CiteWorks Studio

Trust & Will AI Market Strategy Report - Online Estate Planning & Wills

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Trust & Will led the online estate planning and wills category with 93.8% response presence, 76.9% valid recommendation coverage, and a 1.72 average recommended rank.
  • The brand performed strongest on Google AI Overviews for top-three placement and on Microsoft Copilot for rank-one placement, showing broad cross-platform recommendation strength.
  • FreeWill and LegalZoom were the main competitive threats, with FreeWill stronger on Google AI Mode and LegalZoom leading rank-one placement on Perplexity.
  • The biggest gap was missing public data for comparison, pricing, and decision-stage prompts, where buyer intent is higher and recommendation leadership is not yet confirmed.

Answer Capsule

Trust & Will holds dominant recommendation power in the online estate planning and wills category for August 2026, appearing in 93.8% of AI responses and converting 76.9% of those appearances into valid recommendations. The brand leads all competitors in top-three placement at 67.1% and rank-one placement at 30.6%, with the strongest average recommended rank of 1.72 across the tracked competitor universe. Its clearest win is consistent recommendation leadership across all six tracked AI platforms. The clearest weakness is the absence of public performance data for comparison and pricing prompt clusters, where the full report indicates meaningful buyer intent. The clearest opportunity is extending recommendation dominance from consideration-stage prompts into evaluation and decision-stage clusters, where buyers are actively comparing options and assessing cost.

Who This Report Is For

This report is for Trust & Will leadership, marketing teams, and growth strategists tracking AI-led discovery and buyer shortlist formation in online estate planning and wills.

Report Card

  • Report type: AI Company Market Strategy Report
  • Target company: Trust & Will
  • Category / market studied: Online Estate Planning / Wills
  • Reporting month: August 2026
  • AI platforms tracked: ChatGPT, Microsoft Copilot, Google Gemini, Google AI Mode, Google AI Overviews, Perplexity
  • Public high-intent clusters: 1 (Best Online Will & Estate Planning Services)
  • AI observations analyzed: 307
  • Competitors tracked: Fabric, FreeWill, GoodTrust, LegalZoom, Quicken WillMaker & Trust, Rocket Lawyer, Tomorrow, Wealth.com, Willing

Executive Summary

Trust & Will is the clear recommendation leader in AI-driven discovery for online estate planning, not just a visibility leader. Across 307 analyzed observations drawn from 800 total prompts evaluated on six major AI platforms, the brand appeared in 93.8% of AI responses and converted 76.9% of those appearances into valid recommendations. Its 67.1% top-three rate and 30.6% rank-one rate are the strongest in the market. Its average recommended rank of 1.72 means the brand typically appears as the first or second name buyers see when AI systems generate a shortlist.

The brand's strongest platform signal is Google AI Overviews, where Trust & Will achieves an 80.7% top-three rate and a 33.3% rank-one rate. Microsoft Copilot delivers the strongest rank-one rate of any platform at 48.0%. ChatGPT supports a 33.3% rank-one rate, and Perplexity shows a perfect sentiment score across a small but clean sample of four mentions.

The brand's sentiment profile is unusually clean. Across 288 total mentions, Trust & Will records 247 positive mentions, 41 neutral mentions, and zero negative mentions, producing a sentiment score of 0.86. The 41 neutral mentions represent responses where the brand is named but not advanced as a recommendation, a pattern that is modest in scale but worth monitoring as AI platform behaviors evolve.

The clearest competitive challenge comes from two sources. FreeWill holds a 20.2% rank-one rate and a 37.1% top-three rate overall, with particular strength on Google AI Mode at 30.1% rank-one. LegalZoom captures the rank-one position on Perplexity at 75.0% and shows strong ChatGPT performance at 40.0% rank-one. Neither challenger displaces Trust & Will at the category level, but both win specific platform moments that represent real buyer contact points.

The public benchmark covers only the consideration-stage cluster. The full report tracks 10 clusters including comparison, pricing, and decision-stage prompts. Trust & Will's performance in higher-intent buying moments is not visible in this dataset, which is the most significant information gap in this report.

What Trust & Will Is Winning

Strongest cluster by recommendation behavior. Trust & Will leads the consideration-stage cluster with a 67.1% top-three rate and a 30.6% rank-one rate, ahead of every tracked competitor by a meaningful margin.

Strongest platform signals. The brand achieves its highest top-three rate on Google AI Overviews at 80.7% and its highest rank-one rate on Microsoft Copilot at 48.0%. Strong rank-one performance also appears on ChatGPT at 33.3%, Google AI Overviews at 33.3%, and Google Gemini at 26.1%.

Strongest prompt type. Trust & Will wins consistently on "best" and "top" queries, the highest-volume prompt type in the consideration cluster. Appearing as the first recommendation in nearly one-third of all observations is a commercially significant position in a category where buyers typically shortlist two or three options.

Absence of negative framing. Zero negative mentions appear across all 307 observations. This is not a trivial finding. Competitors with negative framing in the AI response layer carry reputational risk at the exact moment buyers are forming opinions.

Narrow but meaningful recommendation pocket. The public dataset covers one cluster, but Trust & Will's performance within that cluster sets the category recommendation standard and provides a strong foundation for expansion into evaluation and decision-stage prompts.

Where Trust & Will Has the Clearest AI Visibility Gaps

The most significant gap is not in recommendation performance within the public cluster but in cluster coverage. The full report tracks 10 prompt clusters including comparison-stage and pricing-stage queries, which carry higher buyer-stage commercial weight. Trust & Will's performance in those clusters is not visible in this dataset. The brand cannot confirm category leadership at the decision moment based on the public benchmark alone.

Competitor displacement is limited in the consideration cluster, but it is real. FreeWill presents the strongest structural challenge, with a 37.1% top-three rate and a 20.2% rank-one rate. On Google AI Mode specifically, FreeWill captures a 30.1% rank-one rate compared to Trust & Will's performance on that platform. LegalZoom leads Perplexity entirely at 75.0% rank-one, meaning buyers who use Perplexity as their research tool are most likely to encounter LegalZoom as the first recommendation. These are not category-level displacements, but they represent specific platform moments where buyer shortlists are being formed without Trust & Will at the top.

The neutral mention count of 41 out of 288 total mentions indicates that some AI responses reference Trust & Will without advancing it as a chosen option. This 14.2% neutral rate is modest, but it signals that the framing quality of at least some source material may be descriptive rather than recommendation-oriented. As AI platforms increasingly synthesize from structured source layers, the brand's ability to maintain positive framing across all retrievable sources will matter more.

Google Gemini shows the weakest sentiment score of any platform at 0.68, driven by a higher share of neutral mentions relative to positive mentions. This pattern suggests that the sources Gemini retrieves for this category may frame Trust & Will in a more reference-oriented way than the sources available to Google AI Overviews or ChatGPT.

Biggest Opportunity

The clearest opportunity for Trust & Will is extending its recommendation dominance from the consideration-stage cluster into comparison and pricing clusters. In the full report, evaluation-stage prompts carry a buyer-stage multiplier of 1.25 and decision-stage prompts carry a multiplier of 1.50. These clusters represent moments where buyers have moved past awareness and are actively comparing services, reviewing pricing, and selecting a provider.

Trust & Will's strong entity recognition, clean sentiment profile, and consistent positive framing should translate well into these clusters. But the public data does not confirm this. The brand needs to verify that its comparison content, pricing pages, and decision-stage assets are structured for AI retrieval and are positively framed across the source layers AI systems rely on. Competitors with strong comparison or pricing content could be capturing buyers at the moment of highest commercial intent, even if Trust & Will dominates the earlier consideration stage. Closing this measurement gap and then addressing any content gaps it reveals is the single highest-leverage move available.

Prompt Evidence

Google AI Overviews / Best Online Will & Estate Planning Services Prompt: "What is the best online legal document service?" Result: Trust & Will appears in 91.9% of responses on this platform, with an 80.7% top-three rate and a 33.3% rank-one rate, the strongest combined platform performance in the public dataset.

Microsoft Copilot / Best Online Will & Estate Planning Services Prompt: "best online will maker" Result: Trust & Will achieves a 48.0% rank-one rate on Microsoft Copilot, the strongest rank-one performance of any brand on any single platform in the public dataset.

Google AI Mode / Best Online Will & Estate Planning Services Prompt: "online estate planning services" Result: Trust & Will appears in 91.3% of responses with a 66.0% top-three rate, but FreeWill captures a higher rank-one rate at 30.1% on this platform, a specific competitive moment where Trust & Will does not hold the top position.

Perplexity / Best Online Will & Estate Planning Services Prompt: "how to make a will" Result: Trust & Will appears in 100% of Perplexity responses with a 75.0% top-three rate and a perfect 1.00 sentiment score, but LegalZoom captures the rank-one position at 75.0% on this platform, meaning Perplexity users encounter LegalZoom first.

What CiteWorks Studio Would Do Next

Phase 1: AI Market Discovery Audit Map Trust & Will's full recommendation footprint across all 10 clusters, including comparison, pricing, and decision-stage prompts, to identify where the brand wins and loses in higher-intent buying moments that are not visible in the public benchmark.

Phase 2: Recommendation Readiness Plan Assess whether Trust & Will's owned content, pricing pages, and comparison assets are structured for AI retrieval and positive framing in evaluation and decision-stage clusters, with specific attention to FreeWill and LegalZoom displacement patterns.

Phase 3: Owned Answer Layer Buildout Develop comparison, pricing, and trust content that directly answers high-intent prompts at the evaluation and decision stages, ensuring Trust & Will's owned pages are the most retrievable and persuasively framed sources available to AI systems.

Phase 4: Citation / Authority Layer Development Strengthen third-party validation across review platforms, editorial coverage, and comparison content to reinforce Trust & Will's position as the default first-choice recommendation and to address the neutral framing pattern observed on Google Gemini.

Phase 5: Monthly AI Visibility and Recommendation Tracking Monitor rank-one and top-three rates across all six platforms monthly, with particular attention to FreeWill's Google AI Mode performance and LegalZoom's Perplexity position, and expand tracking to cover comparison and pricing clusters as full-report data becomes available.

Why This Matters

AI systems are now the primary shortlist builders for online estate planning services. Buyers asking "best will maker" or "how to make a will online" are not browsing a directory. They are receiving a ranked, curated answer. Trust & Will has won the consideration-stage battle, appearing in nearly every AI response and being named the first recommendation in nearly one-third of observations. But the consideration stage is only the beginning of the buyer journey.

The evaluation and decision stages are where buyers commit. If Trust & Will's comparison content, pricing pages, and decision-stage assets are not structured for AI retrieval and positive framing, competitors with better-organized source material could capture buyers at the exact moment commercial intent peaks. The next move is targeted verification and correction of the prompt, page, and citation layers across all clusters, not just the consideration stage. The brand that holds recommendation leadership at every buying moment, from "best" queries through pricing and final selection, will define the category's AI-driven future.

Core Metrics

  • Mentions: 288
  • Valid recommendations: 236
  • Top 3 recommendation count: 206
  • Rank #1 recommendation count: 94
  • Average recommended rank: 1.72
  • Positive mentions: 247
  • Neutral mentions: 41
  • Negative mentions: 0
  • Raw mention presence rate: 93.8%
  • Valid recommendation coverage: 76.9%
  • Top 3 recommendation rate: 67.1%
  • Rank #1 recommendation rate: 30.6%
  • Strongest cluster by recommendation behavior: Best Online Will & Estate Planning Services (consideration stage)
  • Strongest platform by recommendation behavior: Google AI Overviews (80.7% top-three rate, 33.3% rank-one rate)

Sentiment Score

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

For Trust & Will: (247 × 1 + 41 × 0 + 0 × -1) / 288 = 0.8576

This score matters because unclassified mention counts are misleading. Trust & Will's 288 total mentions include 41 neutral references where the brand is named but not advanced as a recommendation. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equivalent signals. Share of voice is a diagnostic metric, not a business KPI. Counting all appearances as wins produces a distorted picture of where a brand actually stands at the decision moment. Classified sentiment is required before interpreting AI visibility, because only positive, recommendation-oriented mentions carry meaningful commercial weight in the shortlist formation process.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

14

12

2

0

0.8571

Strong recommendation signal

Microsoft Copilot

21

16

5

0

0.7619

Present, recommendation-led but with neutral overhang

Google Gemini

44

30

14

0

0.6818

Present as context more than recommendation

Google AI Mode

94

83

11

0

0.8830

Strongest volume recommendation signal

Google AI Overviews

111

102

9

0

0.9189

Strongest overall recommendation signal

Perplexity

4

4

0

0

1.0000

Positive, but sample too small to weight heavily

Methodology

  1. Report orientation. This is a benchmark-based analysis of AI recommendation authority in the online estate planning and wills category, published by CiteWorks Studio and powered by the LLM Authority Index. It is not a client implementation case study. The findings reflect publicly available benchmark data and should be interpreted as market-level intelligence, not as a proprietary audit of Trust & Will's internal strategy or campaign performance.
  2. Reporting window. August 2026. Data extraction date: August 1, 2026.
  3. Platforms tracked. ChatGPT, Microsoft Copilot, Google Gemini, Google AI Mode, Google AI Overviews, and Perplexity. Platform behaviors, output formats, and recommendation tendencies vary and are not normalized to a single standard.
  4. Observation count. 307 eligible observations were analyzed from 800 total prompts evaluated. The unique prompt count was 687. The gap between total prompts and unique prompts reflects prompt variation and repetition methodology used in the LLM Authority Index data collection process.
  5. Competitor universe. Trust & Will, Fabric, FreeWill, GoodTrust, LegalZoom, Quicken WillMaker & Trust, Rocket Lawyer, Tomorrow, Wealth.com, and Willing. This universe reflects the competitor set defined in the public benchmark and may not include all market participants active in the category during the reporting period.
  6. Public clusters used. The public dataset includes one consideration-stage cluster focused on best online will and estate planning services. The full LLM Authority Index report for this category tracks 10 clusters, including comparison, pricing, and decision-stage prompt groups. Performance data for those clusters is not included in this public report.
  7. Stage 0 role. Raw AI observations were collected and classified before metric aggregation. This stage establishes the distinction between raw mentions, valid recommendations, and ranked positions. Without Stage 0 classification, total mention counts cannot be meaningfully interpreted.
  8. Definition of a mention. A mention is recorded when a company name appears in an AI-generated response, regardless of sentiment, framing, or recommendation status. Mentions include positive, neutral, negative, cautionary, and comparison-anchor appearances.
  9. Definition of a valid recommendation. A valid recommendation is a positive, shortlist-quality appearance that earns recommendation credit under LLM Authority Index classification rules. Being named in an AI response is not equivalent to receiving a valid recommendation. This distinction is the basis for all recommendation rate calculations in this report.
  10. Modeled benchmark value. The modeled monthly AI Authority Value of $81,918.60 cited in the Executive Summary is a modeled estimate based on prompt volume, commercial intent weighting, and rank position. It is not revenue, pipeline value, or booked demand. It should be interpreted as a relative benchmark for comparing recommendation-weighted opportunity across competitors.
  11. Limitations. This report reflects a point-in-time benchmark. AI platform outputs change frequently and without notice. The public dataset covers one of 10 tracked clusters, meaning this report cannot confirm Trust & Will's recommendation performance in comparison, pricing, or decision-stage prompts. The competitor universe may be incomplete. Modeled values are estimates. Ahrefs or search-layer data, if referenced in related materials, is used only as supporting evidence for the traditional search and source footprint and does not override AI recommendation metrics.

Find Out Where You Stand in AI Recommendations

The benchmark shows where the online estate planning category stands as of August 2026. It does not show where your brand stands across all 10 clusters, all prompt types, or all source layers that AI systems rely on when forming recommendations. CiteWorks Studio maps your brand's full AI recommendation footprint, identifies the prompt clusters and platforms where competitors are being recommended instead, and builds a clear picture of which content, citation, and authority signals need to change. An AI Visibility Audit, AI Market Discovery Profile, or Citation Architecture Review can show you what the benchmark cannot.

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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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