Greg Hill & Associates AI Visibility Market Strategy Report - Criminal Defense Lawyers

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Greg Hill & Associates has 10 mentions in the benchmark, but only 1 valid recommendation, showing weak conversion from presence to choice.
  • Its only recommendation came from Google AI Overviews at rank 3; Google AI Mode, ChatGPT, Copilot, Gemini, and Perplexity produced no recommendation-stage visibility.
  • Nine of the firm’s 10 mentions were neutral and none were negative, so the brand is being referenced more often than endorsed.
  • The main opportunity is to strengthen owned content and citation support around high-intent prompts already surfacing the firm in AI answers.

Answer Capsule

Greg Hill & Associates holds meaningful raw mention presence in the October 2026 Criminal Defense Lawyers benchmark but converts almost none of that presence into valid recommendations. The firm appeared in 10 of 129 qualified observations, a raw mention presence rate of 7.75%, yet received only 1 valid recommendation, a valid recommendation coverage of 0.78%. Its single recommendation landed in the top three, giving it a top-three rate of 0.78% and an average recommended rank of 3, but it recorded zero rank-one placements. The clearest opportunity is converting its existing mention footprint into recommendation credit, because the gap between being named and being chosen is the widest of any tracked firm in the category.

Who This Report Is For

This report is written for Greg Hill & Associates leadership, marketing decision-makers, and anyone responsible for the firm's visibility in AI-generated recommendations across criminal defense discovery and evaluation prompts.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Greg Hill & Associates

Category / market studied

Criminal Defense Lawyers

Reporting month

October 2026

AI platforms tracked

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

Public high-intent clusters

3 (1 with sufficient coverage)

AI observations analyzed

129 qualified observations from 314 collected prompt-surface observations

Competitors tracked

10

Executive Summary

Greg Hill & Associates is visible in the October 2026 Criminal Defense Lawyers benchmark but is not being recommended. The firm recorded 10 mentions across 129 qualified observations, a raw mention presence rate of 7.75%, which places it sixth in the category by presence. Its valid recommendation coverage, however, is 0.78%, the lowest of any tracked firm, resting on a single valid recommendation.

The gap between those two numbers is the central finding. Greg Hill & Associates is named in roughly one of every thirteen qualified observations but is recommended in roughly one of every 129. No other tracked firm shows that degree of separation between presence and recommendation conversion.

The firm's sentiment profile reinforces the pattern. Of its 10 mentions, 9 were neutral and 1 was positive, producing a net sentiment score of 0.10, the lowest in the category. The firm is being referenced as context rather than framed as a choice.

The strongest signal in the data is platform-specific. Google AI Overviews produced the firm's only valid recommendation, at rank 3, and its only positive mention. Every other platform either did not surface the firm or surfaced it neutrally. Google AI Mode accounted for 6 neutral mentions with no recommendation credit.

The weakest signal is the firm's complete absence from recommendation-stage placement on ChatGPT, Copilot, Gemini, and Perplexity. Across those four platforms, the firm recorded no valid recommendations and no rank-one placements.

The category context matters here. Kraut Law Group leads with 22.48% valid recommendation coverage, and Spodek Law Group holds the highest rank-one rate at 10.08%. Greg Hill & Associates sits at the opposite end of the same measurement, with presence but no recommendation conversion.

The clearest opportunity is narrow and specific: the firm already appears in AI answers, which means the retrieval layer is reaching it. The work is to move those appearances from neutral reference to active recommendation within the Brand Recommendation cluster.

What Greg Hill & Associates Is Winning

The evidence-backed wins for Greg Hill & Associates are limited, and the report states that plainly.

The firm does have a measurable presence footprint. Its 7.75% raw mention presence rate is higher than Chambers Law Firm, Esfandi Law Group, Monder Criminal Lawyer Group, and Goldstein Mehta, and it sits close to The Cochran Firm's 8.53%. The firm is not invisible to AI systems.

The firm's single valid recommendation landed at rank 3, which means that when it does convert, it converts into a top-three position rather than a lower placement. Its average recommended rank of 3 is the second-best average in the category after Spodek Law Group's 1.95.

The firm also recorded zero negative mentions. Its framing, while overwhelmingly neutral, is not cautionary or unfavorable.

Beyond those three points, the data does not support a stronger win claim. The firm has one valid recommendation out of 129 qualified observations, and that base is too small to describe as momentum.

Where Greg Hill & Associates Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • How does Greg Hill & Associates' mention-to-recommendation conversion compare with Kraut Law Group and Spodek Law Group?
  • Which platforms produced no recommendation-stage visibility for the firm?
  • How did The Cochran Firm convert a similar mention presence into far more recommendations?

The clearest gap is recommendation conversion. Greg Hill & Associates appears in 10 qualified observations and is recommended in 1. That is a conversion rate of 10% from mention to valid recommendation, against a category where Kraut Law Group converts 29 mentions into 29 valid recommendations and Spodek Law Group converts 28 mentions into 21.

The second gap is platform coverage. The firm's only valid recommendation came from Google AI Overviews. On Google AI Mode, it recorded 6 neutral mentions and no recommendation credit. On Copilot, Gemini, ChatGPT, and Perplexity, it recorded no valid recommendations at all. Four of the six tracked platforms produced no recommendation-stage visibility for the firm.

The third gap is sentiment framing. A net sentiment score of 0.10 means the firm's mentions are almost entirely neutral references. In a category where The Rodriguez Law Group carries a 0.86 net sentiment score and Spodek Law Group carries 0.75, neutral framing reads as context rather than endorsement.

The fourth gap is competitive displacement at the top of the category. Kraut Law Group added 8.1 points of valid recommendation coverage between September and October 2026, and its rank-one placements rose from 1 to 9 over the series. The Rodriguez Law Group recovered 7.1 points from September to October. Both firms are converting the same discovery-stage prompts that Greg Hill & Associates appears in without converting.

The firm's position relative to The Cochran Firm is instructive. The Cochran Firm holds a similar presence rate at 8.53% and converts it into 8 valid recommendations at 6.20% coverage, roughly eight times the firm's conversion. The difference is not presence. It is what happens after the mention.

Biggest Opportunity

The single biggest opportunity for Greg Hill & Associates is closing the mention-to-recommendation gap inside the Brand Recommendation cluster, which is the only cluster with sufficient qualified coverage in the October 2026 benchmark.

The firm already appears in that cluster. Its 10 mentions and its single rank-3 recommendation both sit inside the discovery and evaluation prompts that make up all 129 qualified observations. The retrieval layer is reaching the firm's public evidence. What is missing is the framing, structure, and citation support that moves an AI system from naming a firm to recommending it.

The specific path is to strengthen the firm's owned answer layer and citation footprint around the high-intent prompts where it already appears, so that the same prompts that currently produce a neutral reference produce a ranked recommendation instead. That is a narrower and more achievable objective than building presence from zero, because the presence already exists.

Competitive Landscape

Questions This Section Answers

  • Who leads the October 2026 Criminal Defense Lawyers category on recommendation coverage and rank-one rate?
  • Where does Greg Hill & Associates sit on top-three rate and sentiment against the rest of the field?

Recommendation-stage strength in the October 2026 Criminal Defense Lawyers benchmark is concentrated at the top. Kraut Law Group leads on valid recommendation coverage at 22.48%, Spodek Law Group holds the strongest rank-one rate at 10.08%, and The Rodriguez Law Group sits third at 13.95% coverage. Greg Hill & Associates sits at the bottom of the table on both coverage and sentiment.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Spodek Law Group

13.95%

10.08%

1.95

0.75

Kraut Law Group

11.63%

6.98%

3.07

0.59

The Rodriguez Law Group

9.30%

1.55%

3.00

0.86

Wallin & Klarich

3.88%

0.00%

3.17

0.31

Goldstein Mehta

3.10%

0.78%

2.25

0.67

The Cochran Firm

2.33%

0.00%

4.33

0.73

Chambers Law Firm

0.78%

0.00%

4.00

1.00

Esfandi Law Group

0.78%

0.00%

6.00

0.67

Greg Hill & Associates

0.78%

0.00%

3.00

0.10

Monder Criminal Lawyer Group

0.78%

0.00%

3.00

1.00

Average recommended rank covers rank-eligible recommendations only.

Greg Hill & Associates sits ninth of ten on top-three rate and last on sentiment. Its average recommended rank of 3.00 is competitive, but it rests on a single rank-eligible recommendation, so it should be read as a small-count figure rather than a stable placement pattern.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "criminal defense lawyer near me" Result: Greg Hill & Associates received its only valid recommendation, at rank 3, and its only positive mention.

Google AI Mode / Brand Recommendation Prompt: "los angeles criminal lawyer" Result: The firm appeared as a neutral reference with no recommendation credit, one of 6 neutral Google AI Mode mentions.

Copilot / Brand Recommendation Prompt: "assault lawyer" Result: The firm was not surfaced in a recommendation position on Copilot, which produced no valid recommendations for the firm.

Gemini / Brand Recommendation Prompt: "distracted driving accident attorney" Result: The firm recorded no presence and no recommendation credit on Gemini across the tracked prompt set.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map every prompt where Greg Hill & Associates currently appears, separate neutral references from recommendation-eligible answers, and identify the exact queries where the firm is named but not chosen.

Phase 2: Recommendation Readiness Plan Prioritize the Brand Recommendation prompts with the widest mention-to-recommendation gap and define what a recommendation-eligible answer needs to contain for this firm.

Phase 3: Owned Answer Layer Buildout Strengthen the firm's own pages so that practice-area, jurisdiction, and case-type content answers the discovery and evaluation questions AI systems are already retrieving the firm for.

Phase 4: Citation / Authority Layer Development Build the third-party and directory citation footprint that supports recommendation framing, since the firm's current mentions are neutral references rather than endorsed recommendations.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track valid recommendation coverage, top-three rate, and sentiment by platform month over month, with Google AI Overviews and Google AI Mode as the first platforms to monitor given the firm's existing signal there.

Why This Matters

Buyers using AI systems to shortlist criminal defense representation do not see a presence rate. They see a recommendation, or they see nothing. Greg Hill & Associates currently sits in the second category for most of the prompts that matter, appearing as a neutral reference in answers where other firms are named as choices.

Presence without recommendation conversion is not a partial win. It is a measurable gap between being findable and being selected, and in this category the firms converting that gap are Kraut Law Group, Spodek Law Group, and The Rodriguez Law Group. The next move for Greg Hill & Associates is targeted correction of the prompt, page, and citation layers that currently produce neutral mentions instead of ranked recommendations.

Core Metrics

Metric

Value

Mentions

10

Valid recommendations

1

Top 3 recommendation count

1

Rank #1 recommendation count

0

Average recommended rank

3.00

Positive mentions

1

Neutral mentions

9

Negative mentions

0

Raw mention presence rate

7.75%

Valid recommendation coverage

0.78%

Top 3 recommendation rate

0.78%

Rank #1 recommendation rate

0.00%

Net sentiment score

0.10

Strongest cluster by recommendation behavior

Brand Recommendation (C01, the only cluster with sufficient coverage)

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

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

For Greg Hill & Associates, that is (1 x 1 + 9 x 0 + 0 x -1) / 10, which produces a score of 0.10.

This matters because unclassified mention counts are misleading. A firm with 10 mentions sounds visible until you separate those mentions into positive recommendations, neutral references, cautionary framing, and competitor-displaced appearances. Greg Hill & Associates has 10 mentions and 9 of them are neutral, which means the firm is being described rather than chosen.

Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a mention that appears only because a competitor was recommended are not equal outcomes. Counting all mentions as wins is bad measurement. Classified sentiment is required before interpreting AI visibility, and for this firm the classification shows a presence footprint that is not converting into recommendation framing.

Sentiment by Platform

Questions This Section Answers

  • Which platform produced Greg Hill & Associates' only positive mention and valid recommendation?
  • How did Google AI Mode mention the firm without converting those mentions into recommendations?

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

Google AI Overviews

1

1

0

0

1.00

Only platform with a valid recommendation and positive framing

Google AI Mode

6

0

6

0

0.00

Present as context, not recommendation

Gemini

3

0

3

0

0.00

Present, but not recommendation-led

Copilot

0

0

0

0

N/A

No public presence in this packet

ChatGPT

0

0

0

0

N/A

No public presence in this packet

Perplexity

0

0

0

0

N/A

No public presence in this packet

Methodology

  1. This report is a benchmark-based AI Visibility Company Market Strategy Report for Greg Hill & Associates, derived from the LLM Authority Index Criminal Defense Lawyers AI Visibility Market Discovery Index and the associated October 2026 metrics aggregation. It is not a client implementation case study.
  2. The reporting month is October 2026, with comparison points drawn from the July 2026 baseline and the August and September 2026 measurement periods where the source data provides them.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode. All six produced at least one qualified observation in October 2026.
  4. The October 2026 collection began with 314 prompt-surface observations across 301 unique questions. Of those, 314 mentioned a tracked brand or competitor, 181 were relevant to the vertical, 133 were irrelevant, and 129 qualified observations form the public denominator.
  5. The competitor universe contains 10 tracked firms: Greg Hill & Associates, Kraut Law Group, Spodek Law Group, The Rodriguez Law Group, The Cochran Firm, Wallin & Klarich, Goldstein Mehta, Chambers Law Firm, Esfandi Law Group, and Monder Criminal Lawyer Group.
  6. Three public clusters are defined: Brand Recommendation (C01, consideration stage), Criminal Defense Lawyer Comparisons (C02, evaluation stage), and Criminal Defense Lawyer Fees, Costs & Pricing (C03, decision stage). Only C01 carried sufficient qualified coverage in October 2026.
  7. Stage 0 extraction supplied the prompt-level observations that retain query, AI surface, answer, brand outcome, recommendation placement, sentiment, and citations where exposed.
  8. A mention is counted when a tracked brand appears in a qualified observation in any capacity, whether recommended, referenced, or listed.
  9. A valid recommendation is counted only when the dataset marks the appearance as a recommendation with rank eligibility. Neutral references, cautionary mentions, and listed-only appearances are not counted as valid recommendations.
  10. All brand-level percentages are calculated within the 129 qualified observations, not the 314 collected prompts. The gap between collected and qualified prompts widened across the series.
  11. Average recommended rank covers rank-eligible recommendations only. Greg Hill & Associates has one rank-eligible recommendation, so its average rank of 3.00 should be read as a small-count figure.
  12. Limitations: six of ten tracked brands rest on 8 or fewer valid recommendations this month, and Greg Hill & Associates rests on 1. Percentages over such small bases should be read cautiously. The 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. Source presence in an AI answer is evidence about the information environment and is not automatically proof that the source caused the recommendation.

See How AI Is Recommending Your Brand

The public benchmark shows where Greg Hill & Associates appears and where it is recommended. A company-level AI visibility audit shows which high-intent prompts the firm is winning, which it is losing, which competitors take the placement when the firm is not chosen, and which external sources are shaping those answers. Where the benchmark identifies a difference in output, the audit identifies the mechanism behind it.

/ Take the next step

Want to Understand Your AI Citation Footprint?

We start every engagement with a full audit of how AI systems reference your brand today.

Measurable, Repeatable Programme

Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge

Citation Architecture Review

Identify which high-authority community sources are and aren't working in your favour across AI platforms.

AI Visibility Audit

Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.

/ Learn More

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.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT