Charles R. Ullman & Associates Appears in 3.9% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
10 minutes read

Key Takeaways

  • The firm was mentioned in 9 of 231 benchmark answers and recommended in 4, with no negative mentions recorded.
  • Mentions and recommendations were stronger in earlier months, then declined in the latest November sample.
  • No conflicting claims were recorded in the captured answers, so the first step is to verify approved facts and entity details.
  • The most relevant content opportunities center on Raleigh divorce, custody, child support, and family law questions.

Answer Capsule

In November 2026, Charles R. Ullman & Associates appeared in 9 of 231 AI answers included in the Divorce Lawyers benchmark (3.90%). It received 4 recommendations (1.73%), with 4 Top 3 placements and 2 first-place recommendations. A mention means the company appeared in an answer; a recommendation means the answer affirmatively endorsed it.

Our plan compares the company with its competitors, checks conflicting AI claims against reliable sources, and identifies website pages, third-party sources and buyer questions to address. The historical results show how the figures changed across available months. Different monthly samples limit those comparisons, and conflicting AI claims require verification before corrections are proposed.

Current AI visibility

Questions This Section Answers

  • How do Charles R. Ullman & Associates mentions, recommendations and placements compare with its Divorce Lawyers peers?

Charles R. Ullman & Associates recorded 9 mentions (3.90%) and 4 recommendations (1.73%) across 231 answers included in the benchmark. Top 3 placements numbered 4; first-place recommendations numbered 2. Framing among its mentions was 4 positive, 5 neutral and 0 negative.

Rank

Company

Mentions

Mention rate

Recommendations

Recommendation rate

Top 3

Top 3 rate

#1

#1 rate

1

Cordell & Cordell

147

63.64%

51

22.08%

49

21.21%

47

20.35%

2

Stange Law Firm

52

22.51%

31

13.42%

22

9.52%

10

4.33%

3

McKinley Irvin

23

9.96%

15

6.49%

15

6.49%

12

5.19%

4

Goldberg Jones

17

7.36%

7

3.03%

5

2.16%

0

0.00%

5

Charles R. Ullman & Associates

9

3.90%

4

1.73%

4

1.73%

2

0.87%

6

Sterling Lawyers

13

5.63%

3

1.30%

2

0.87%

1

0.43%

6

Wilkinson & Finkbeiner

5

2.16%

3

1.30%

3

1.30%

2

0.87%

8

Berenji & Associates

1

0.43%

1

0.43%

1

0.43%

1

0.43%

8

Brian D. Perskin & Associates

1

0.43%

1

0.43%

1

0.43%

0

0.00%

10

Boyd Law

19

8.23%

0

0.00%

0

0.00%

0

0.00%

Charles R. Ullman & Associates appears in a modest share of the benchmark answers, and its recommendations are fewer still. The firm sits mid-table, well behind the leading national names but ahead of several local rivals on recommendations. That gap between being mentioned and being actively endorsed is the practical issue to work on.

Framing is mostly neutral, with no negative mentions recorded. Neutral wording is not the same as an endorsement, so the firm should not read its mention count as goodwill. Proposed work: a baseline scorecard that separates mentions, shortlist placements and recommendations so the client can see where it stands without conflating them.

What changed since last month

Questions This Section Answers

  • How did Charles R. Ullman & Associates counts and coverage differ across the available monthly snapshots?

Metric

Jul 2026

Aug 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

7 / 179 (3.91%)

10 / 187 (5.35%)

13 / 195 (6.67%)

11 / 178 (6.18%)

9 / 231 (3.90%)

Recommendations

4 / 179 (2.23%)

6 / 187 (3.21%)

6 / 195 (3.08%)

6 / 178 (3.37%)

4 / 231 (1.73%)

Top 3 recommendations

2 / 179 (1.12%)

5 / 187 (2.67%)

5 / 195 (2.56%)

5 / 178 (2.81%)

4 / 231 (1.73%)

#1 recommendations

0 / 179 (0.00%)

2 / 187 (1.07%)

4 / 195 (2.05%)

2 / 178 (1.12%)

2 / 231 (0.87%)

From October 2026 to November 2026, Charles R. Ullman & Associates' mention count fell from 11 to 9, while its recommendation count fell from 6 to 4. The recommendation rate was 3.37% and 1.73% respectively.

Across the selected monthly samples, the firm's mention and recommendation counts moved down in the latest month after a stronger run. The recommendation rate also eased. These are separate samples, so the movement describes what was recorded rather than proving why it happened.

What matters for the client is the pattern: recommendations have been harder to hold than mentions. Proposed work: track each month's figures side by side and flag where the firm's position shifts, while noting that sample composition differs and no cause is established.

AI recommendation trend

Observed recommendation rate (%), Jul 2026 to Nov 2026

0%1%2%3%4%Jul 2026Aug 2026Sep 2026Oct 2026Nov 20262.23%Jul 2026: 2.23%3.21%Aug 2026: 3.21%3.08%Sep 2026: 3.08%3.37%Oct 2026: 3.37%1.73%Nov 2026: 1.73%
  • Charles R. Ullman & Associates1.73%

Separate selected monthly samples. Missing points are unavailable, not zero. Provider/prompt equivalence is unverified; rate movement does not demonstrate causation.

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Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for Charles R. Ullman & Associates?

AI answers contained 0 conflicting claims about Charles R. Ullman & Associates: 0 critical, 0 high, 0 medium, 0 low. Of these, 0 were rated critical or high priority; the critical claims are included in that total. These ratings help prioritize fact-checking. They do not establish that a company or publisher made an error.

No conflicting claims about the firm were recorded in the captured answers, so there is no immediate fact-check queue. That is a clean starting position, not a guarantee that outside descriptions are accurate. The useful step is to confirm what the firm wants stated publicly before comparing it with what answers say.

Proposed work: a visibility comparison against the named competitors plus a short list of claims worth verifying against primary sources. Each item would get an owner and an evidence requirement, so any later correction rests on confirmed facts rather than an AI statement.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Charles R. Ullman & Associates should be verified before proposed page edits?

No results are available for this part of the analysis.

Both columns quote AI answers, not verified company facts. Resolve the entity, date and source before deciding whether a correction is warranted; different dates can explain an apparent conflict.

This part of the analysis returned no results, so there are no disputed topics to resolve for the firm right now. The absence of findings should not be read as confirmation that every description of the firm is correct. Verification still has to happen before any page change is proposed.

Proposed work: hold conditional page briefs ready, to be used only if a specific claim is confirmed against current primary sources. Where dates or entity details are ambiguous, the item stays out of the correction queue until the firm's own records settle it.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for Charles R. Ullman & Associates?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://google.com/searchviewer/10?svid=CAwSGxIZCgNwdnESEkNnc3ZaeTh4ZEhobWNUQTRjQRgK

4

4

0

https://google.com/searchviewer/10?svid=CAwSGxIZCgNwdnESEkNnc3ZaeTh4ZEdReGEzWmZjQRgK

3

3

0

https://google.com/searchviewer/10?svid=CAwSHRIbCgNwdnESFENnMHZaeTh4TVdJMWNHaHpaSEZ3GAo

3

3

0

https://google.com/searchviewer/10?svid=CAwSHRIbCgNwdnESFENnMHZaeTh4TVdZd00zQTVjVFkxGAo

3

3

0

https://google.com/searchviewer/10?svid=CAwSHRIbCgNwdnESFENnMHZaeTh4TVdJMk9XY3haSGczGAo

2

2

0

https://google.com/searchviewer/10?svid=CAwSHRIbCgNwdnESFENnMHZaeTh4TVdnM01USjBOakYwGAo

2

2

0

These pages were selected because they relate to the company in the captured answers. Their current contents still need checking before any correction request. A page linked to a conflicting claim is not necessarily its cause, and the same answer may contribute to more than one row.

The cited pages selected for review are search-viewer links rather than publisher articles, and none carried a conflicting claim about the firm. A citation shows a page appeared in an answer; it does not show that the page shaped the answer or that its publisher made an error. Current contents still need checking.

Proposed work: review the selected pages for accuracy and relevance, then decide whether any evidence-backed request to a publisher is justified. Requests would be logged separately from confirmed edits and from no-change decisions, so the client can see what was actually done.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Charles R. Ullman & Associates website pages should receive review briefs?

Company website page

Citation appearances in all captured answers

Benchmark answers citing the page

Recommending answers citing the page

https://charlesullman.com/

1

1

0

https://charlesullman.com/can-date-separated

1

1

0

https://charlesullman.com/child-support-lawyer

1

1

1

https://charlesullman.com/what-are-the-five-stages-of-a-divorce

1

1

0

The company's website was cited 4 times across 4 distinct page addresses; the table shows 4 pages selected for review. Zeros in the answer columns mean no matching answers were recorded. A cited page is not automatically a page that accompanied a recommendation.

The firm's own site was cited a handful of times across distinct pages, including the child support page, which also appeared in a recommending answer. That is a thin footprint, and a citation is not proof that the page drove the recommendation. The other cited pages were not linked to recommendations.

Proposed work: page briefs built on approved firm facts and the questions buyers actually ask, checked against existing coverage before anything new is drafted. Each brief would name the reviewer and the evidence needed before publication.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Charles R. Ullman & Associates?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

raleigh child support attorney

1

1

1

raleigh custody lawyer

1

1

1

raleigh divorce lawyer

1

1

1

raleigh family lawyer

1

1

1

can you date while separated

1

1

0

divorce attorneys raleigh nc

1

1

0

my wife wants a divorce

1

1

0

raleigh child support lawyer

1

1

0

These are recorded answer observations, not search volume, verified demand, or proof of missing website content.

The recorded questions cluster around Raleigh divorce, custody, child support and family law, with a few situational queries such as dating while separated and a spouse wanting a divorce. The firm was mentioned in answers to all of them but recommended in only some. These are answer observations, not search volume or proof of missing content.

Proposed work: buyer-question briefs for the topics where the firm is mentioned but not endorsed, starting with existing pages. Each brief would be checked against current site coverage so the client is not paying for a duplicate page.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Charles R. Ullman & Associates work and judge completion?

Period

Deliverable

Completion criterion

Days 1–30

Baseline scorecard, scoped fact-review register and page/source shortlist

Each record has an owner, evidence requirement and review status

Days 31–60

Approved page briefs and justified publisher requests

Separate confirmed edits, no-change decisions, requests and responses

Days 61–90

Buyer-content briefs and a fresh scorecard

Record work completed separately from measured answer outcomes and comparability limits

The first month sets the baseline: a scorecard, a scoped fact-review list and a shortlist of pages and sources, each with an owner and review status. The second month turns approved briefs into page work and, where justified, publisher requests, with confirmed edits and no-change decisions recorded separately.

The third month adds buyer-question content briefs and a fresh scorecard. Completed work would be reported apart from measured answer outcomes, and no visibility gain would be promised, since the samples differ month to month and the evidence cannot establish cause.

Methodology

Questions This Section Answers

  • How are Charles R. Ullman & Associates answer metrics and citation populations defined?

This report covers 2026-11. The exact dates when the original AI answers were collected have not been verified. The visibility rates use 231 answers that met the benchmark's inclusion rules. A company is recommended only when the answer both endorses it and uses positive wording. Top 3 and first-place counts are part of those recommendations, not extra recommendations.

An answer can mention or recommend several companies, so company counts cannot be added to find the number of distinct answers. The net sentiment score is positive minus negative mentions, divided by all company mentions; it describes answer wording, not customer satisfaction.

The wider citation analysis covers 253 captured answers and 1684 appearances of cited URLs. Citation appearances across all captured answers differ from the number of benchmark answers citing a page and the number that also recommend a company. The current contents of cited pages and disputed company claims still need independent verification.

Monthly sample coverage:

Reporting month

Answers included

AI services covered

Services

Jul 2026

179

4

Copilot, Gemini, Google AI Mode, Google AI Overviews

Aug 2026

187

5

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews

Sep 2026

195

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Oct 2026

178

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

Nov 2026

231

6

ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

The report covers a single month, and the exact collection dates for the original answers are unverified. Rates rest on the answers that met the benchmark's inclusion rules. A recommendation requires both an endorsement and positive wording; shortlist and first-place counts sit inside recommendations rather than adding to them.

Answers can name several firms, so company counts cannot be summed into distinct answers. Monthly samples differ in size and service coverage, so comparisons show what was recorded, not why it changed. Cited pages and disputed claims still need independent checking.

Our first three priorities

First, confirm the firm's approved facts and settle any ambiguous entity or date details, so later page work and any publisher request rest on verified information rather than AI wording. Second, prepare page briefs for the child support and divorce topics where the firm is mentioned but not endorsed, checking existing coverage first.

Third, build buyer-question content around the Raleigh family law queries the firm already appears in, with a reviewer named for each piece. A refreshed scorecard would then show where the firm stands, reported separately from the work delivered.

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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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