Stange Law Firm Appears in 22.5% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Mark HuntleyBy Mark HuntleyFounder and CEO
11 minutes read

Key Takeaways

  • Stange Law Firm sits in the second tier of the divorce lawyers benchmark, with solid mention volume but fewer recommendations than the leader.
  • Most mentions were positive or neutral, with no negative framing recorded, so the main issue is under-endorsement rather than reputation damage.
  • The latest monthly sample showed a drop in mentions and recommendations, so November 2026 should be treated as a new baseline.
  • Priority work centers on verified page briefs, external source checks, and buyer-question content around Wichita, Sedgwick County, and St. Louis.

Answer Capsule

In November 2026, Stange Law Firm appeared in 52 of 231 AI answers included in the Divorce Lawyers benchmark (22.51%). It received 31 recommendations (13.42%), with 22 Top 3 placements and 10 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 Stange Law Firm mentions, recommendations and placements compare with its Divorce Lawyers peers?

Stange Law Firm recorded 52 mentions (22.51%) and 31 recommendations (13.42%) across 231 answers included in the benchmark. Top 3 placements numbered 22; first-place recommendations numbered 10. Framing among its mentions was 31 positive, 21 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%

Stange Law Firm sits clearly in the second tier of this benchmark: well behind the leader on mentions and recommendations, but comfortably ahead of the firms below it. That position is real reach, not a rounding artifact, and it gives the firm a credible base to defend rather than a gap to close from nothing.

The more useful signal is the shape of that reach. Mentions are far more common than recommendations, and first-place finishes are rarer still. In practice, AI answers bring the firm into the conversation often but endorse it less often, so the work should focus on earning affirmative endorsements rather than simply appearing more.

Framing is a strength worth protecting. Almost all mentions were positive or neutral, with none negative, which suggests the firm is described fairly when it appears. The agency would build a scorecard that tracks mentions, recommendations and placement separately so progress in one is never mistaken for progress in another.

What changed since last month

Questions This Section Answers

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

Metric

Jul 2026

Aug 2026

Sep 2026

Oct 2026

Nov 2026

Mentions

34 / 179 (18.99%)

51 / 187 (27.27%)

61 / 195 (31.28%)

65 / 178 (36.52%)

52 / 231 (22.51%)

Recommendations

22 / 179 (12.29%)

30 / 187 (16.04%)

37 / 195 (18.97%)

59 / 178 (33.15%)

31 / 231 (13.42%)

Top 3 recommendations

20 / 179 (11.17%)

23 / 187 (12.30%)

30 / 195 (15.38%)

53 / 178 (29.78%)

22 / 231 (9.52%)

#1 recommendations

4 / 179 (2.23%)

10 / 187 (5.35%)

13 / 195 (6.67%)

24 / 178 (13.48%)

10 / 231 (4.33%)

From October 2026 to November 2026, Stange Law Firm's mention count fell from 65 to 52, while its recommendation count fell from 59 to 31. The recommendation rate was 33.15% and 13.42% respectively.

The monthly record shows a clear step down between the two most recent samples. Mentions and recommendations both fell, and the recommendation rate moved from roughly a third to nearer an eighth. The earlier months show an upward drift, so the latest reading interrupts a rising pattern rather than continuing it.

These are separate selected samples, and the answer base was larger in the latest month. That difference in coverage is a comparability limit, not an explanation for the movement; the report cannot say why counts or rates changed. The honest reading is that the latest month is weaker on its own terms and should be treated as a fresh baseline.

The agency would avoid drawing a trend line through incomparable samples. Instead, we would set the latest month as the reference point, watch the next samples for whether the dip persists, and keep the earlier months as context rather than as a forecast.

AI recommendation trend

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

0%10%20%30%40%Jul 2026Aug 2026Sep 2026Oct 2026Nov 202612.29%Jul 2026: 12.29%16.04%Aug 2026: 16.04%18.97%Sep 2026: 18.97%33.15%Oct 2026: 33.15%13.42%Nov 2026: 13.42%
  • Stange Law Firm13.42%

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 Stange Law Firm?

AI answers contained 0 conflicting claims about Stange Law Firm: 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 Stange Law Firm were recorded in the captured answers, so there is nothing in the fact-check queue for this month. That is a clean result, but it is a statement about what the answers said, not proof that every description of the firm is accurate or current.

The measurement step still earns its place. A visibility comparison shows where the firm stands against named competitors, and a standing list of claims to verify keeps the record honest as new answers arrive. Together they let the client decide where attention is worth spending.

The agency would deliver a baseline scorecard and a scoped fact-review register, with each entry carrying an owner, an evidence requirement and a review status. Where nothing is disputed, the register records that finding rather than inventing work.

Step 2. Make the website consistent

Questions This Section Answers

  • Which recorded claim differences about Stange Law Firm 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 work through and no page briefs to justify on consistency grounds. The absence is itself informative: it means the current evidence does not support a correction exercise for the firm's own pages.

The discipline still matters for later months. Any apparent conflict in an AI answer has to be resolved for entity, date and source before anyone treats it as an error, because different dates alone can make two statements look contradictory when they are not. Ambiguous matches stay out of the queue.

The agency would keep a light verification check running and only commission a page brief when a specific, confirmed discrepancy appears. Until then, effort is better spent on the external and owned-page work described next.

Step 3. Align the external narrative

Questions This Section Answers

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

Cited page selected for review

Citation appearances in all captured answers

Answers mentioning the company

Conflicting claims linked to this page

https://lawfirmsquare.com/blog/top-10-divorce-lawyers-in-wichita/

3

3

0

https://pcblawfirm.com/st-louis-family-law-attorneys/divorce/

3

3

0

https://mazaherilawfirm.com/practice-areas/divorce/

4

2

0

https://jpcannonlawfirm.com/

3

1

0

http://saintlouislawfirm.net/

1

1

0

https://bestlawfirms.com/united-states/family-law

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 cited pages selected for review are a short, mixed list of directories, competitor sites and regional legal pages, each linked to the firm in captured answers. None carries a conflicting claim, so there is no correction case to make. What remains is a review of whether these pages describe the firm accurately and fairly today.

Citation is not influence, and a page appearing in an answer does not mean it shaped the recommendation. The agency would check current page contents against primary sources first, then decide whether any request to a publisher is justified. Requests would be evidence-backed and framed as corrections or additions, never as assumptions of error.

Where a page is accurate, the outcome is a no-change decision recorded alongside the rest. That keeps the external work proportionate and preserves goodwill with publishers.

Step 4. Optimize priority company pages

Questions This Section Answers

  • Which observed Stange Law Firm 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://stangelawfirm.com/family-law-matters/father-s-rights-paternity/wichita-kansas-fathers-rights-attorneys-in-sedgwick-county/

8

8

3

https://stangelawfirm.com/divorce-separation/divorce-faqs/wichita-ks-divorce-attorneys-lawyers-in-sedgwick-county/

4

4

3

https://stangelawfirm.com/family-law-matters/family-law-glossary/wichita-ks-family-law-attorneys-in-sedgwick-county/

3

3

1

https://stangelawfirm.com/articles/international-adoption/

1

0

0

https://stangelawfirm.com/articles/why-choosing-one-of-the-largest-divorce-and-family-law-firms-in-the-country-can-make-a-difference/

1

1

1

https://stangelawfirm.com/blog/how-to-avoid-paying-your-ex-alimony/

1

1

0

https://stangelawfirm.com/blog/who-gets-what-in-a-dissolution-of-marriage-in-kentucky/

1

1

0

https://stangelawfirm.com/childcustody/child-custody-glossary/fort-wayne-indiana-child-custody-attorneys-in-allen-county/

1

1

1

The company's website was cited 29 times across 17 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 site is the strongest owned asset in the evidence, cited across many distinct pages, with a cluster of Wichita and Sedgwick County pages drawing the most attention. Those pages are the natural starting point for briefs because they already appear in answers and already carry some recommending weight.

The agency would write page briefs that use approved facts, address the questions buyers actually ask, and strengthen the pages that already earn citations rather than spreading effort thinly across the whole site. Pages cited without any recommending answer are candidates for review, not automatic rewrites.

A cited page is not proof that it accompanied a recommendation, so briefs would be judged on clarity and accuracy first. Any proposed change to page content would rest on verified company facts supplied by the client.

Step 5. Publish around buyer questions

Questions This Section Answers

  • Which observed buyer questions support content briefs for Stange Law Firm?

Question observed in the research

Benchmark answers to this question

Company mentions

Company recommendations

Who is the best divorce attorney in St. Louis?

3

3

3

Who are some good divorce lawyers in Sedgwick County, KS?

3

3

2

Who are the best lawyers in Wichita, Kansas?

2

2

2

Who is the best divorce attorney in Wichita, KS?

2

2

2

Who is the best divorce attorney in Wichita, Kansas?

2

2

2

Who is the best family law attorney in Wichita, KS?

2

2

2

What is the biggest family law firm?

3

2

1

Who are some good family attorneys in Wichita, KS?

1

1

1

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

The recorded questions cluster around location and best-lawyer phrasing, mostly in St. Louis, Wichita and Sedgwick County, plus one broader question about firm size. The firm appears in most of these answers and is recommended in many of them, so this question territory is already partly established.

These are answer observations, not search volume or verified demand, and they do not prove the website lacks matching content. The agency would check existing coverage first, then draft buyer-question briefs only where a genuine gap or a weak page is confirmed. Where the firm is mentioned but not recommended, a brief could test whether clearer, better-evidenced content earns an affirmative endorsement.

Our 90-day action plan

Questions This Section Answers

  • How should the agency sequence the proposed Stange Law Firm 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: a scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner, an evidence requirement and a review status. Nothing is changed in this period; the point is to agree what is true and what is worth pursuing.

The second month turns that into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions, requests and responses recorded separately. The third month adds buyer-content briefs and a fresh scorecard.

Delivered work is not the same as a measured visibility outcome. The plan records what was completed and keeps that distinct from any later movement in the answers, which the samples cannot attribute to our work.

Methodology

Questions This Section Answers

  • How are Stange Law Firm 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 dates when the original answers were collected have not been verified. Visibility rates rest on answers that met the benchmark's inclusion rules, and a company counts as recommended only when an answer both endorses it and uses positive wording. Placement figures sit inside recommendations rather than adding to them.

Answers can mention several firms, so company counts cannot be summed into a total number of answers. Sentiment describes answer wording, not client satisfaction. The wider citation analysis covers more answers than the benchmark and counts URL appearances, which is a different measure from answers citing a page.

Monthly samples differ in size and service coverage, so comparisons show how recorded results changed, not why. Cited page contents and any disputed claims still need independent verification.

Our first three priorities

First, protect the firm's framing advantage. With no negative mentions recorded, the immediate risk is not reputation damage but quiet under-endorsement, so the scorecard should track recommendations and placement as distinct measures and flag where mentions fail to become endorsements.

Second, review the owned Wichita and Sedgwick County pages that already attract citations. The agency would prepare briefs grounded in client-approved facts and buyer questions, checking existing coverage before proposing new content, and treating cited-but-unrecommended pages as review candidates rather than automatic rewrites.

Third, verify the shortlist of external pages against primary sources before any publisher contact, recording confirmed edits and no-change decisions alike. Alongside this, keep the fact-review register open so later disputed claims are handled with the same discipline, and treat the latest month as the baseline for judging whether the dip persists.

/ 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