Borboleta Pro Appears in 12.3% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Answer Capsule

In November 2026, Borboleta Pro appeared in 27 of 220 AI answers included in the Beauty and Personal Care benchmark (12.27%). It received 14 recommendations (6.36%), with 9 Top 3 placements and 5 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 Borboleta Pro mentions, recommendations and placements compare with its Beauty and Personal Care peers?

Borboleta Pro recorded 27 mentions (12.27%) and 14 recommendations (6.36%) across 220 answers included in the benchmark. Top 3 placements numbered 9; first-place recommendations numbered 5. Framing among its mentions was 14 positive, 13 neutral and 0 negative.

Borboleta Pro appears in a modest share of the benchmark answers and is recommended in roughly half of the answers where it is mentioned. That gap between being named and being endorsed is the practical issue: the brand is present in the conversation but not consistently the one an answer puts forward.

Placement is thinner still. The company rarely lands at the top of a shortlist, which matters because buyers scanning an answer tend to act on the first name they see. The framing of its mentions is largely positive or neutral, so the wording is not the obstacle.

We would treat this as a positioning problem rather than a reputation problem. The proposed work is a visibility scorecard that separates mentions, recommendations and top placements so the client can see where the shortfall sits, followed by a review of the pages and sources that answers draw on when discussing lash brands.

What changed since last month

Questions This Section Answers

• How did Borboleta Pro counts and coverage differ across the available monthly snapshots?

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

From October 2026 to November 2026, Borboleta Pro's mention count fell from 36 to 27, while its recommendation count fell from 30 to 14. The recommendation rate was 10.99% and 6.36% respectively.

The recorded results moved in different directions between the two months. Mentions and recommendations were lower in the later sample, while first-place placements were higher. The recommendation rate also fell.

The two months used different answer samples, so the figures are separate observations rather than a like-for-like trend. A smaller answer total does not by itself explain the movement in counts or rates, and we would not present it as a cause.

What the record does support is a closer look at which answers changed and what they contained. We would compare the specific answers behind the movement before drawing conclusions, and keep the monthly scorecard explicit about sample differences so the client reads each month on its own terms.

Step 1. Measure

Questions This Section Answers

• What should the agency measure and verify first for Borboleta Pro?

AI answers contained 1 conflicting claim about Borboleta Pro: 0 critical, 0 high, 1 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.

A single disputed claim about Borboleta Pro surfaced in the answers, rated medium priority. That is a manageable starting point: it gives the client one concrete item to check rather than a broad reputational worry.

The useful first step is a visibility comparison that shows where the brand stands against the named competitors, paired with a short list of claims worth verifying. The claim list should record what each answer said, when it was captured and which source it leaned on, so the client can decide what to check first.

We would propose building that scorecard and claim register as the opening piece of work, with each entry assigned an owner and a status.

Step 2. Make the website consistent

Questions This Section Answers

• Which recorded claim differences about Borboleta Pro 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 concerns how long lash retention lasts, with the answers differing on the upper figure. Both recorded statements are AI output, not verified company facts, so neither should be treated as correct until checked.

The first task is to confirm which product the claim refers to, the date of any company statement and the source behind each figure. Different dates or different products can account for an apparent conflict without anyone being wrong.

Only after that check would we draft a page brief. If the company's own guidance is clear and current, the brief would set out how to state it plainly on the relevant product page; if the evidence is ambiguous, the brief would record a no-change decision instead.

Step 3. Align the external narrative

Questions This Section Answers

• Which cited third-party pages are relevant to fact review for Borboleta Pro?

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 retail and marketplace pages were cited in answers that discuss the company, and one disputed claim is linked to them. A citation is not proof that a page shaped the answer, and the pages still need to be read in their current form before anything is requested.

We would review each selected page against the company's approved facts, note where wording differs, and decide case by case whether a correction request is justified. Where the page is accurate or the conflict is unresolved, the outcome is a documented no-change decision.

Requests to publishers would be framed as evidence-backed clarifications, not demands, and responses recorded separately from confirmed edits.

Step 4. Optimize priority company pages

Questions This Section Answers

• Which observed Borboleta Pro website pages should receive review briefs?

The company's website was cited 10 times across 8 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 company site was cited across a small set of distinct pages, with the homepage and a serum product page appearing most often. Citation counts show which pages answers reach for; they do not show that those pages earned a recommendation.

We would prepare page briefs for the priority addresses, starting with the homepage and the serum page, using only approved company facts and the questions buyers actually ask. Each brief would state the audience question, the approved answer and the evidence behind it.

Before proposing any new page, we would check whether existing coverage already answers the question, so effort goes to improving what is there rather than duplicating it.

Step 5. Publish around buyer questions

Questions This Section Answers

• Which observed buyer questions support content briefs for Borboleta Pro?

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

The recorded questions cluster around brand choice, lash serum effectiveness, classic-set suitability and extension glue. These are answer observations, not search volume, so they indicate the kind of language buyers and answers use rather than proven demand.

Several questions already produced company mentions and recommendations, which suggests the brand has a foothold in these conversations. The opportunity is to strengthen the pages those answers draw on so the brand is named more consistently.

We would draft buyer-question content briefs for the strongest themes, check existing pages first, and route each brief through fact approval before publication.

Our 90-day action plan

Questions This Section Answers

• How should the agency sequence the proposed Borboleta Pro work and judge completion?

The first month establishes the baseline: a visibility scorecard, a scoped fact-review register and a shortlist of pages and sources to examine. Each record gets an owner, an evidence requirement and a review status so progress is visible.

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

The third month produces buyer-content briefs and a fresh scorecard. Completed work is reported separately from measured answer outcomes, and the comparability limits of each monthly sample are stated alongside the results.

Methodology

Questions This Section Answers

• How are Borboleta Pro 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 220 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 344 captured answers and 2082 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:

July 2026 measured a different set of companies, so it is excluded from this comparison. August 2026 measured a different set of companies, so it is excluded from this comparison. September 2026 measured a different set of companies, so it is excluded from this comparison.

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 collection dates of the original answers have not been verified. Visibility rates rest on the answers that met the benchmark's inclusion rules, and a company counts as recommended only when an answer endorses it with positive wording.

Answers can mention several companies, so company counts cannot be summed to find distinct answers. 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, so comparisons show how recorded results changed, not why. Cited pages and disputed claims still need independent verification.

Our first three priorities

First, verify the retention claim before anything is published or requested. Confirm the product, the date and the source, then decide whether a page brief or a no-change record is the right outcome.

Second, prepare page briefs for the homepage and the serum page using approved facts and the buyer questions already observed. Check existing coverage first so the work improves what answers already reach for.

Third, review the cited retail and marketplace pages against approved facts and log each decision, keeping correction requests separate from confirmed edits. A fresh scorecard at the end of the period should report completed work alongside measured outcomes, with the sample limits stated plainly.