Ursa Major Appears in 25.5% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Answer Capsule

In November 2026, Ursa Major appeared in 142 of 556 AI answers included in the Natural Skincare Brand benchmark (25.54%). It received 133 recommendations (23.92%), with 73 Top 3 placements and 30 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 Ursa Major mentions, recommendations and placements compare with its Natural Skincare Brand peers?

Ursa Major recorded 142 mentions (25.54%) and 133 recommendations (23.92%) across 556 answers included in the benchmark. Top 3 placements numbered 73; first-place recommendations numbered 30. Framing among its mentions was 134 positive, 8 neutral and 0 negative.

Ursa Major sits in the middle of this natural skincare field: it appears in roughly a quarter of the answers and is recommended in nearly as many, so its mentions usually carry an endorsement rather than a passing reference. That is a healthy sign for a brand competing against larger organic names.

The gap to the leaders is about reach, not warmth. OSEA and True Botanicals are named far more often, which means Ursa Major is being left out of many answers entirely rather than being mentioned and dismissed. Widening where it appears is the more useful goal than polishing how it is described.

Placement is the softer spot. Ursa Major reaches the shortlist less often than it is recommended, and first place is rarer still, so answers that do include it tend to list it among options rather than lead with it. Framing is almost uniformly positive, with no negative wording recorded, so the constraint is presence and prominence, not reputation.

What changed since last month

Questions This Section Answers

• How did Ursa Major counts and coverage differ across the available monthly snapshots?

From October 2026 to November 2026, Ursa Major's mention count rose from 105 to 142, while its recommendation count rose from 104 to 133. The recommendation rate was 20.27% and 23.92% respectively.

November's counts are higher than October's on mentions, recommendations and both placement measures, returning the brand to roughly its August level after a weaker September. The movement is worth noting, but the monthly samples are separate selections, so the report cannot say what produced the shift.

The practical reading is that Ursa Major's standing is not fixed month to month; it moves within a band. That argues for tracking the trend across several months rather than reacting to any single reading, and for treating the current figure as a checkpoint rather than a new baseline.

Because the samples differ, the honest comparison is directional. The agency would keep the monthly scorecard running and pair it with the verification work below, so any later change can be read against a stable record rather than a single month's swing.

Step 1. Measure

Questions This Section Answers

• What should the agency measure and verify first for Ursa Major?

AI answers contained 2 conflicting claims about Ursa Major: 0 critical, 2 high, 0 medium, 0 low. Of these, 2 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.

Two conflicting claims about the Fantastic Face Wash price were recorded, both rated high priority, and both concern the same product. That concentration is useful: a single fact-check can settle the question rather than a scattered list of unrelated issues.

The agency would build a short fact-review register listing each disputed claim, the product it concerns, the evidence needed to resolve it and who owns the check. The register is a working tool for prioritisation, not a finding that anyone published something wrong.

Alongside it, a visibility comparison would show where Ursa Major appears relative to the leading brands, so the client can see whether effort is better spent widening reach or tightening accuracy. The two workstreams answer different questions and should be tracked separately.

Step 2. Make the website consistent

Questions This Section Answers

• Which recorded claim differences about Ursa Major 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 disputed topic is narrow: two recorded answers give different prices for the Fantastic Face Wash. Neither column is a verified company fact, and the difference could reflect a genuine price change, a stale source or a simple misreading.

Before any page change, the agency would confirm the current price from the company's own product page and note the date checked. Only then does it make sense to decide whether a correction is warranted, and the answer may well be that the website needs no change at all.

If the confirmed price differs from what a page currently says, a short page brief would set out the approved wording and the evidence behind it. If the page is already correct, the finding is recorded as resolved with no edit, which is just as valuable an outcome.

Step 3. Align the external narrative

Questions This Section Answers

• Which cited third-party pages are relevant to fact review for Ursa Major?

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 Good Trade feature on natural face wash is linked to the most conflicting claims and appears in many answers that mention the company, so it is the first page to read in full. A link to a disputed claim does not establish that the page caused it.

The agency would check each shortlisted page's current contents against verified facts before deciding whether a polite, sourced request is justified. Some pages may already be accurate, and community forums sit outside publisher control. Requests would be specific, responses logged separately from confirmed edits, and ambiguous company matches kept out of the queue.

Step 4. Optimize priority company pages

Questions This Section Answers

• Which observed Ursa Major website pages should receive review briefs?

The company's website was cited 2 times across 2 distinct page addresses; the table shows 2 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.

Only two company pages were cited in the captured answers, and each appeared once, so the website is barely part of the conversation. That is a modest footprint for a brand with strong recommendation rates elsewhere.

The agency would prepare page briefs for the priority pages using approved facts, the questions buyers actually ask and the brand's own language. Briefs would be checked against what the pages currently say before any rewrite is proposed, since the report does not establish present contents.

A cited page is not automatically one that accompanied a recommendation, so the briefs focus on making key pages clear and complete rather than chasing citation counts alone.

Step 5. Publish around buyer questions

Questions This Section Answers

• Which observed buyer questions support content briefs for Ursa Major?

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

The recorded questions cluster around cleansers and face wash, with a smaller set on moisturiser and general brand choice. Ursa Major is mentioned in most of these answers and recommended in nearly all of them, which suggests the brand is already credible when the topic fits.

The agency would turn these questions into content briefs, checking first whether the website already answers them well. Where coverage exists, the work is refinement; where it does not, a new page may be justified.

These are observed answer questions, not search volume, so the briefs should be treated as conversation topics worth addressing rather than proven demand. The cleanser questions are the natural starting point given how often they appear.

Our 90-day action plan

Questions This Section Answers

• How should the agency sequence the proposed Ursa Major work and judge completion?

The first month establishes the working base: a scorecard, a scoped fact-review register and a shortlist of pages and sources to examine. Each record gets an owner, a stated evidence requirement and a review status, so nothing sits unresolved without a reason.

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

Delivered work is recorded separately from measured answer outcomes. Completing a brief or sending a request is not evidence that visibility improved, and the plan does not promise that it will.

Methodology

Questions This Section Answers

• How are Ursa Major 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 556 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 800 captured answers and 5299 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 is a separate sample, 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 shortlist and first-place placements sit inside those recommendations rather than adding to them.

Answers can name several companies, so company totals cannot be summed into a count of distinct answers. Citation appearances describe where pages were referenced, not that a page influenced an answer. Current page contents and the disputed price claims still need independent checking.

Our first three priorities

First, settle the Fantastic Face Wash price question against the company's own current product page, recording the date and the evidence. This is a small, contained check that either closes the issue or produces a precise, approved correction.

Second, read the shortlisted external pages, starting with the natural face wash feature, and decide page by page whether an evidence-backed request is warranted. Requests should follow verification, not precede it.

Third, prepare page and buyer-question briefs around cleansers and face wash, where the brand is already recommended when it appears. The opportunity is to be present in more answers, and the scorecard will show whether that happens without claiming credit for it.