Berenji & Associates Appears in 0.4% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
9 minutes read

Key Takeaways

  • The firm appeared in 1 of 231 benchmark answers and was both recommended and ranked first in that answer.
  • Recent monthly results declined from several mentions and recommendations to one mention and one recommendation in November 2026.
  • No conflicting claims were recorded in the captured answers, so the first step is to verify the single mention and its source.
  • The plan focuses on source review, page consistency, and buyer-question content, starting with divorce lawyers in Los Angeles.

Answer Capsule

In November 2026, Berenji & Associates appeared in 1 of 231 AI answers included in the Divorce Lawyers benchmark (0.43%). It received 1 recommendation (0.43%), with 1 Top 3 placement and 1 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 Berenji & Associates mentions, recommendations and placements compare with its Divorce Lawyers peers?

Berenji & Associates recorded 1 mentions (0.43%) and 1 recommendation (0.43%) across 231 answers included in the benchmark. Top 3 placements numbered 1; first-place recommendations numbered 1. Framing among its mentions was 1 positive, 0 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%

Berenji & Associates appears in only a single answer within the benchmark, and that same answer both recommends the firm and places it first. The firm's reach is therefore narrow but well positioned when it does surface. The gap to the leading firms is large, so the practical question is how to appear in more answers without losing that strong placement.

Because mentions and recommendations are counted separately, the firm's single recommendation should not be read as a conversion rate. The agency would treat this as a starting position: confirm which questions produced the mention, then build toward broader presence while protecting the quality of the placement already earned.

What changed since last month

Questions This Section Answers

  • How did Berenji & Associates counts and coverage differ across the available monthly snapshots?

Metric

Jul 2026

Aug 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

4 / 179 (2.23%)

4 / 187 (2.14%)

5 / 195 (2.56%)

1 / 178 (0.56%)

1 / 231 (0.43%)

Recommendations

3 / 179 (1.68%)

2 / 187 (1.07%)

4 / 195 (2.05%)

1 / 178 (0.56%)

1 / 231 (0.43%)

Top 3 recommendations

3 / 179 (1.68%)

2 / 187 (1.07%)

3 / 195 (1.54%)

1 / 178 (0.56%)

1 / 231 (0.43%)

#1 recommendations

3 / 179 (1.68%)

1 / 187 (0.53%)

1 / 195 (0.51%)

0 / 178 (0.00%)

1 / 231 (0.43%)

From October 2026 to November 2026, Berenji & Associates' mention count stayed at 1, while its recommendation count stayed at 1. The recommendation rate was 0.56% and 0.43% respectively. The count was unchanged: the rate difference comes from dividing it by 178 answers in October 2026 and 231 in November.

Across the recent months the firm's mention count moved from several answers to one, and the recommendation count followed a similar path. The latest month held at one mention and one recommendation. The answer base was larger in the latest month than the month before, so the two months are not directly comparable.

The observed movement is a real change in recorded results, but the evidence does not explain why it happened. The agency would set the latest month as the working baseline and track future months against it, noting sample differences alongside any movement rather than attributing cause.

AI recommendation trend

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

0%0.75%1.5%2.25%3%Jul 2026Aug 2026Sep 2026Oct 2026Nov 20261.68%Jul 2026: 1.68%1.07%Aug 2026: 1.07%2.05%Sep 2026: 2.05%0.56%Oct 2026: 0.56%0.43%Nov 2026: 0.43%
  • Berenji & Associates0.43%

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

/ 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.

Step 1. Measure

Questions This Section Answers

  • What should the agency measure and verify first for Berenji & Associates?

AI answers contained 0 conflicting claims about Berenji & 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 Berenji & Associates were recorded in the captured answers, so there is no immediate fact-checking queue tied to the firm. That is a clean starting point, not proof that every statement about the firm is accurate.

The agency would still build a short scorecard of the claims that do appear, each with an owner and an evidence requirement, and compare the firm's visibility against the leading competitors on the same questions. This gives the client a clear sense of where attention is best spent before any content or outreach work begins.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Berenji & 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 the website is accurate or complete.

The agency would begin with entity verification, confirming that the firm's name, practice focus and location are described consistently wherever they appear. Only after that check would page briefs be drafted, and any proposed change would rest on current primary-source confirmation rather than on an AI answer alone.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for Berenji & 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=CAwSGxIZCgNwdnESEkNnc3ZaeTh4ZEdocmNucHFhQRgK

1

1

0

https://google.com/searchviewer/10?svid=CAwSHRIbCgNwdnESFENnMHZaeTh4TVdJM1pqQnpjREZ6GAo

1

1

0

https://google.com/searchviewer/10?svid=CAwSHRIbCgNwdnESFENnMHZaeTh4TVdNeGJuSTRaSFJtGAo

1

1

0

https://google.com/searchviewer/10?svid=CAwSHRIbCgNwdnESFENnMHZaeTh4TVdNeWJHSnNjMlJ5GAo

1

1

0

https://google.com/searchviewer/10?svid=CAwSHRIbCgNwdnESFENnMHZaeTh4TVdacmN6Vm5Obmc1GAo

1

1

0

https://google.com/searchviewer/10?svid=CAwSHRIbCgNwdnESFENnMHZaeTh4TVdjeE9GOXlNVzEzGAo

1

1

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 pages selected for review are search-viewer links tied to answers that mention the firm, and none carries a conflicting claim. A citation does not show that a page influenced an answer, and the current contents of these pages still need checking.

The agency would review each page directly, confirm what it actually says about the firm, and only then decide whether a publisher request is justified. Requests would be evidence-backed and specific, with confirmed edits, no-change decisions and responses recorded separately so the client can see what was actually done.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Berenji & Associates website pages should receive review briefs?

No results are available for this part of the analysis.

The company's website was cited 0 times across 0 distinct page addresses; the table shows 0 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.

No company pages were cited in the captured answers, so there is no owned-page citation record to work from this month. That leaves the website's role in AI answers unmeasured rather than proven absent.

The agency would prepare page briefs for the firm's priority pages using approved facts and the questions buyers actually ask. Each brief would state the audience question it answers and the facts it relies on, and existing coverage would be checked before any new page is proposed.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Berenji & Associates?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

divorce lawyers los angeles

1

1

1

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

The research recorded one question about divorce lawyers in Los Angeles, and the firm was mentioned and recommended in the answer to it. This is a single observation, not evidence of search demand or of missing website content.

The agency would turn this question into a content brief, checking first whether the firm's site already addresses it well. If coverage exists, the brief would focus on strengthening it with approved facts; if not, a new page would be proposed with the buyer question at its center.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Berenji & 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 would establish the baseline scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner and a review status. The second month would produce approved page briefs and any justified publisher requests, with confirmed edits and no-change decisions logged separately.

The final month would deliver buyer-question content briefs and a fresh scorecard. Completed work would be reported separately from measured answer outcomes, and no visibility gain would be promised, since the samples and the answers themselves can shift between months.

Methodology

Questions This Section Answers

  • How are Berenji & 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 answers behind these figures were collected on dates that have not been verified, and the monthly samples differ in size and in which AI services were covered. Comparisons between months show how recorded results changed, not why.

A company is counted as recommended only when an answer endorses it with positive wording, and placement counts sit inside recommendations rather than adding to them. One answer can mention several firms, so company counts cannot be summed into a total of distinct answers. Cited pages and any disputed claims still require independent verification.

Our first three priorities

The first priority is to confirm the single answer that mentions the firm, identify the question behind it and record the exact wording, so the firm's one strong placement is understood rather than assumed. The second is to review the selected search-viewer pages directly and decide, on current evidence, whether any publisher request is warranted.

The third is to prepare a buyer-question brief around divorce lawyers in Los Angeles, checking existing site coverage before proposing anything new. Together these give the client a verified baseline, a short source-review list and one concrete content decision, with measured visibility tracked separately from the work delivered.

/ 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.

Archived editions

Browse earlier published research snapshots for this article. The latest edition remains at the current URL.

VIEW ALL CASE STUDIESREQUEST AN AI VISIBILITY AUDIT