McKinley Irvin Appears in 10.0% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Answer Capsule

In November 2026, McKinley Irvin appeared in 23 of 231 AI answers included in the Divorce Lawyers benchmark (9.96%). It received 15 recommendations (6.49%), with 15 Top 3 placements and 12 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 McKinley Irvin mentions, recommendations and placements compare with its Divorce Lawyers peers?

McKinley Irvin recorded 23 mentions (9.96%) and 15 recommendations (6.49%) across 231 answers included in the benchmark. Top 3 placements numbered 15; first-place recommendations numbered 12. Framing among its mentions was 15 positive, 8 neutral and 0 negative.

McKinley Irvin appears in roughly one in ten answers and is recommended in fewer still, placing it third in a field where the leader dominates. The gap to the top is wide, so the practical opportunity is not overtaking the leader but widening the distance from the firms just below.

Its placements are unusually strong relative to its reach: when the firm is named, it tends to sit near the top of the answer. That suggests the answers that do include it treat it favorably, and the constraint is how often it enters the conversation at all.

Framing is almost entirely positive or neutral, with no negative mentions recorded. We would treat reach as the priority and protect the favorable framing rather than chase volume at any cost.

What changed since last month

Questions This Section Answers

• How did McKinley Irvin counts and coverage differ across the available monthly snapshots?

From October 2026 to November 2026, McKinley Irvin's mention count rose from 14 to 23, while its recommendation count rose from 13 to 15. The recommendation rate was 7.30% and 6.49% respectively.

Across the monthly samples, mentions and recommendations have moved unevenly. The latest month shows more mentions than the one before, while the recommendation rate eased slightly; the earlier months sit at different levels again. These are separate samples, so the movements describe what was recorded rather than a trend we can attribute to any cause.

The strongest recent signal is the rise in first-place placements, which reached their highest recorded level in the latest sample. Because each month draws a different set of answers, we would not read the month-to-month swings as a trajectory.

Our proposal is to keep a running scorecard so the client sees each month on its own terms, with the comparability limit stated beside it.

Step 1. Measure

Questions This Section Answers

• What should the agency measure and verify first for McKinley Irvin?

AI answers contained 1 conflicting claim about McKinley Irvin: 0 critical, 0 high, 0 medium, 1 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.

The fact-checking picture is light: a single disputed claim was recorded, and it was rated low severity. That does not mean the claim is wrong, only that it is not urgent. The value of a measurement step here is to separate the few things worth checking from the many that are not.

We would build a visibility comparison that shows where the firm stands against the named competitors on reach and placement, paired with a short list of claims to verify against primary sources. Each item would carry an owner and a status so nothing lingers unresolved.

This gives the client a clear basis for deciding where to spend effort first.

Step 2. Make the website consistent

Questions This Section Answers

• Which recorded claim differences about McKinley Irvin should be verified before proposed page edits?

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.

The one recorded conflict concerns office location, with one answer describing a Seattle address and another a Bellevue address. Both are quotations from AI answers, not verified facts, and a difference in dates or entity naming could account for the apparent disagreement.

We would not decide which is correct from the answers alone. The first step is to confirm the firm's current office details from its own primary sources, then decide whether any page needs a brief.

If verification shows a genuine gap, we would prepare a conditional page brief; if not, we would record a no-change decision.

Step 3. Align the external narrative

Questions This Section Answers

• Which cited third-party pages are relevant to fact review for McKinley Irvin?

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 mostly directory and search-viewer listings, with a small number of independent sites. Each is linked to the same single disputed claim, but a citation does not show that a page caused the wording in an answer.

We would check the current contents of each selected page before making any request, and we would treat the search-viewer entries cautiously since they are not publisher-controlled pages in the usual sense.

Where a page genuinely misstates a verified fact, we would prepare an evidence-backed correction request. Where it does not, we would record the review and move on.

Step 4. Optimize priority company pages

Questions This Section Answers

• Which observed McKinley Irvin website pages should receive review briefs?

The company's website was cited 14 times across 10 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 was cited across a range of pages, with the Seattle and Portland location pages appearing most often and the Seattle page also showing up in recommending answers. That makes location pages the natural starting point for page briefs.

Briefs would draw only on approved facts, including verified office details, and would address the questions buyers actually ask. We would check existing coverage before proposing anything new, since several cited pages already exist.

A cited page is not automatically a page that earned a recommendation, so we would keep those two observations distinct in the briefs.

Step 5. Publish around buyer questions

Questions This Section Answers

• Which observed buyer questions support content briefs for McKinley Irvin?

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

The recorded questions cluster tightly around Seattle divorce attorney searches, with a smaller Portland thread. McKinley Irvin was mentioned and recommended in every one of these observed answers, which is a favorable starting position.

These are answer observations, not search volume or proof of demand, so we would not treat them as a content gap list. Instead, we would check whether the site already answers each question well.

Where coverage is thin, we would draft buyer-question content briefs built on approved facts and clear, plain answers.

Our 90-day action plan

Questions This Section Answers

• How should the agency sequence the proposed McKinley Irvin work and judge completion?

The first month establishes the baseline: a scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner and a review status. Nothing gets corrected in this phase; the work is to confirm what is true.

The second month turns confirmed findings into approved page briefs and, where justified, publisher requests. Confirmed edits, no-change decisions, requests and responses are recorded separately so the client can see what was actually done.

The third month adds buyer-content briefs and a fresh scorecard. Completed work is reported apart from measured answer outcomes, and no visibility gain is promised.

Methodology

Questions This Section Answers

• How are McKinley Irvin 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:

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

The answers were collected on dates that have not been verified, and each month draws a different sample, so month-to-month comparisons show what was recorded rather than why it changed. A company counts as recommended only when an answer endorses it with positive wording; top placements sit inside those recommendations rather than adding to them.

Answers can name several firms, so company counts do not sum to a number of answers. Sentiment describes answer wording, not client satisfaction. Cited pages and disputed claims still require independent verification before any correction.

Our first three priorities

First, verify the office-location details against the firm's own primary sources and resolve the single low-severity conflict before any page work begins. This is quick and it clears the only disputed item on the register.

Second, prepare page briefs for the Seattle and Portland location pages, using approved facts and the buyer questions already observed. These pages are the most frequently cited and the most likely to shape how answers describe the firm.

Third, set up the running scorecard so each month is read on its own terms. Reach, not framing, is the constraint worth watching.