Boyd Law Appears in 8.2% 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

  • Boyd Law is mentioned in a meaningful share of AI answers, but it is never recommended.
  • The latest month shows more mentions, yet recommendations dropped to zero.
  • No conflicting claims were recorded, so the first priority is fact verification and source review.
  • Priority work focuses on cited pages and buyer questions about divorce, custody, annulments, and legal planning.

Answer Capsule

In November 2026, Boyd Law appeared in 19 of 231 AI answers included in the Divorce Lawyers benchmark (8.23%). It received 0 recommendations (0.00%), with 0 Top 3 placements and 0 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 Boyd Law mentions, recommendations and placements compare with its Divorce Lawyers peers?

Boyd Law recorded 19 mentions (8.23%) and 0 recommendations (0.00%) across 231 answers included in the benchmark. Top 3 placements numbered 0; first-place recommendations numbered 0. Framing among its mentions was 0 positive, 19 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%

Boyd Law appears in a meaningful share of answers but is never endorsed. That gap between being seen and being chosen is the central finding, and it should shape the goal for the coming months: earn affirmative recommendations rather than simply more mentions.

Because every recorded mention was neutral, the firm is being described without being praised. Neutral framing gives a buyer little reason to act. The proposed work starts with a visibility scorecard that separates mentions from recommendations, so progress is judged on endorsement rather than presence alone.

What changed since last month

Questions This Section Answers

  • How did Boyd Law counts and coverage differ across the available monthly snapshots?

Metric

Jul 2026

Aug 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

6 / 179 (3.35%)

9 / 187 (4.81%)

8 / 195 (4.10%)

6 / 178 (3.37%)

19 / 231 (8.23%)

Recommendations

5 / 179 (2.79%)

5 / 187 (2.67%)

5 / 195 (2.56%)

4 / 178 (2.25%)

0 / 231 (0.00%)

Top 3 recommendations

4 / 179 (2.23%)

4 / 187 (2.14%)

4 / 195 (2.05%)

4 / 178 (2.25%)

0 / 231 (0.00%)

#1 recommendations

1 / 179 (0.56%)

2 / 187 (1.07%)

2 / 195 (1.03%)

0 / 178 (0.00%)

0 / 231 (0.00%)

From October 2026 to November 2026, Boyd Law's mention count rose from 6 to 19, while its recommendation count fell from 4 to 0. The recommendation rate was 2.25% and 0.00% respectively.

The monthly record shows mentions rising while recommendations fell to zero, a reversal worth watching closely. The samples differ between months, so the movement describes what was recorded rather than proving why it happened.

Rather than treating the latest month as a trend, the agency would track each month as its own sample and flag swings for review. A short note on what changed in the answers, without asserting cause, keeps the client informed without overreading a single month.

AI recommendation trend

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

0%0.75%1.5%2.25%3%Jul 2026Aug 2026Sep 2026Oct 2026Nov 20262.79%Jul 2026: 2.79%2.67%Aug 2026: 2.67%2.56%Sep 2026: 2.56%2.25%Oct 2026: 2.25%0.00%Nov 2026: 0.00%
  • Boyd Law0.00%

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 Boyd Law?

AI answers contained 0 conflicting claims about Boyd Law: 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 Boyd Law were recorded, so there is nothing urgent to correct. That is a clean starting position, and it means measurement can focus on where the firm appears and how it is described rather than on dispute resolution.

The proposed first step is a visibility comparison across the tracked competitors alongside a short list of claims worth fact-checking. Together they show where the firm stands and which statements about it deserve a primary-source check before any action.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Boyd Law 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 Boyd Law right now. The absence is itself useful: it lowers the risk of acting on unverified claims.

The agency would still confirm the entity, dates and sources behind any future claim before proposing a correction. Where a conflict turns out to be a difference in dates or naming, the right outcome may be no change at all. Page briefs would be drafted only after that verification.

Step 3. Align the external narrative

Questions This Section Answers

  • Which cited third-party pages are relevant to fact review for Boyd Law?

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

http://amberboydlaw.com/

2

2

0

https://amberboydlaw.com/

2

1

0

https://boydlawlosangeles.com/family-law/annulments/

1

1

0

https://royboydlaw.com/camden-county/

1

1

0

https://wf-lawyers.com/orange-county/

3

2

0

https://cardellalawoffice.com/

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.

Several cited pages relate to the firm, including its own sites and third-party legal directories. Citation does not show that a page influenced an answer, and none of these pages is linked to a conflicting claim.

The proposed work is a focused review of the most relevant sources, checking current contents before any request is made. Where a page is accurate, the decision may be to leave it alone; where an update is justified, the agency would prepare an evidence-backed request and record the response.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Boyd Law 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://boydlawapc.com/what-is-a-minute-order/

2

2

0

https://boydlawapc.com/3-ways-to-financially-plan-for-your-divorce/

1

1

0

https://boydlawapc.com/can-i-sue-my-spouse-for-infidelity-in-ca/

1

1

0

https://boydlawapc.com/fast-can-get-divorced-california/

1

1

0

https://boydlawapc.com/is-spying-on-a-spouse-legal/

1

0

0

https://boydlawapc.com/los-angeles/business-law/contracts/

1

1

0

https://boydlawapc.com/los-angeles/family-law/annulments/

1

1

0

https://boydlawapc.com/orange-county/family-law/

1

1

0

The company's website was cited 13 times across 12 distinct page addresses; the table shows 8 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 pages were cited across a range of divorce and family-law topics, from minute orders to annulments and financial planning. Being cited is not the same as accompanying a recommendation, and none of the listed pages appeared in a recommending answer.

Page briefs would draw on approved facts and the questions buyers actually ask, then check existing coverage before proposing anything new. The aim is to make priority pages clearer and more useful, not to chase citations for their own sake.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Boyd Law?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

minute order

2

2

0

How do I find a lawyer in Indiana?

1

1

0

How to financially plan for divorce?

1

1

0

How to find a good lawyer in Indiana?

1

1

0

What is the best evidence for child custody?

1

1

0

What is the quickest way to get divorced in California?

1

1

0

annulment lawyers

1

1

0

best family lawyer orange county

1

1

0

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

The recorded questions cluster around practical divorce concerns: minute orders, financial planning, custody evidence, annulments and finding a lawyer. Boyd Law was mentioned in answers to these questions but never recommended.

That makes these questions a sensible focus for buyer-content briefs. Before drafting, the agency would check whether the firm already covers each topic, then propose updates or new pages only where a genuine gap exists. The questions are observations, not proof of search demand.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Boyd Law 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 establishes the baseline scorecard, a scoped fact-review list and a shortlist of pages and sources, each with an owner and review status. The second month turns verified material into approved page briefs and justified publisher requests, with confirmed edits and no-change decisions recorded separately.

The final month adds buyer-content briefs and a fresh scorecard. Completed work is reported apart from measured answer outcomes, and the comparability limits of each monthly sample are stated plainly rather than folded into a success claim.

Methodology

Questions This Section Answers

  • How are Boyd Law 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 monthly samples differ in size and in which AI services were covered, so month-to-month comparisons show what was recorded, not why it changed. A company counts as recommended only when an answer endorses it with positive wording, and top placements sit inside those recommendations rather than adding to them.

Answers can mention several firms, so company counts cannot be summed into distinct answers. Cited pages and any disputed claims still need independent verification before action.

Our first three priorities

First, confirm the facts. With no conflicting claims recorded, the priority is to verify the firm's core details and the pages most often cited, so later work rests on checked material rather than assumption.

Second, prepare page briefs for the priority divorce and family-law topics, using approved facts and the buyer questions already observed. Third, build buyer-question content around minute orders, financial planning and annulments, checking existing coverage first.

Throughout, the agency would track mentions and recommendations separately, treat each month as its own sample, and report completed work apart from measured visibility outcomes.

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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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