At-Bay Appears in 11.3% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Answer Capsule

In November 2026, At-Bay appeared in 27 of 239 AI answers included in the Cyber Insurance benchmark (11.30%). It received 4 recommendations (1.67%), with 1 Top 3 placement 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 At-Bay mentions, recommendations and placements compare with its Cyber Insurance peers?

At-Bay recorded 27 mentions (11.30%) and 4 recommendations (1.67%) across 239 answers included in the benchmark. Top 3 placements numbered 1; first-place recommendations numbered 0. Framing among its mentions was 4 positive, 23 neutral and 0 negative.

At-Bay appears in a meaningful share of answers, but the pattern is reach without endorsement. It is named far more often than it is recommended, and its single shortlist placement sits inside that small recommendation set rather than adding to it. No first-place recommendation was recorded.

The framing is mostly neutral, which suggests the answers treat At-Bay as one name among many rather than as a preferred choice. For a cyber insurer, that gap between being mentioned and being chosen is the commercial problem worth addressing.

We would propose a scorecard that separates mention reach from recommendation strength, so the client can see where recognition exists and where endorsement is thin.

What changed since last month

Questions This Section Answers

• How did At-Bay 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, At-Bay's mention count rose from 24 to 27, while its recommendation count fell from 12 to 4. The recommendation rate was 7.14% and 1.67% respectively.

The monthly record shows a modest rise in mentions alongside a sharp drop in recommendations. Those are separate observations from separate samples, and the report does not establish why either moved.

The comparability limit matters here: each month draws on a different set of answers, so the movement should be read as a change in recorded results, not as a trend line with a known cause. We would treat the recent month as a fresh baseline rather than a continuation.

Proposed work would track mentions and recommendations as distinct measures going forward, so future movement can be interpreted with more confidence.

Step 1. Measure

Questions This Section Answers

• What should the agency measure and verify first for At-Bay?

AI answers contained 0 conflicting claims about At-Bay: 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 At-Bay were recorded in the captured answers, so there is no immediate fact-check queue to work through. That is a clean starting position rather than a guarantee.

A visibility comparison against the named competitors would still help set priorities, because it shows where At-Bay is present in answers and where it is absent. Pairing that with a standing list of claims to verify keeps the picture current as answers change.

We would propose a baseline scorecard and a scoped fact-review register, each with an owner and a review status.

Step 2. Make the website consistent

Questions This Section Answers

• Which recorded claim differences about At-Bay 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 At-Bay at present. The absence of findings is not evidence that the website is accurate or complete.

Any future claim review should first confirm the entity, the date and the source behind an answer before deciding whether a correction is warranted. Different dates can explain an apparent conflict, and an ambiguous company match should stay outside any correction queue.

We would propose conditional page briefs, prepared only once a claim has been verified against current primary sources.

Step 3. Align the external narrative

Questions This Section Answers

• Which cited third-party pages are relevant to fact review for At-Bay?

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 include competitor sites, a forum thread, an industry ranking and a consumer comparison page. Citation frequency does not show that any of these sources influenced an answer, and none carried a conflicting claim about At-Bay.

A citation is a pointer, not proof of influence or of publisher error. The current contents of each page still need checking before any request is made.

We would propose a focused source review, followed by evidence-backed requests only where a verified inaccuracy is found, with responses recorded separately from the requests.

Step 4. Optimize priority company pages

Questions This Section Answers

• Which observed At-Bay website pages should receive review briefs?

The company's website was cited 3 times across 3 distinct page addresses; the table shows 3 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 a few At-Bay pages were cited, and the answer columns show that citation and recommendation rarely coincide. A cited page is not automatically a page that accompanied a recommendation, so these pages should be treated as starting points for review rather than proven weak spots.

Page briefs would draw on approved company facts and the questions buyers actually ask, then check what each page already covers before proposing changes.

We would propose briefs for the priority pages listed, each reviewed by the client before any edit is made.

Step 5. Publish around buyer questions

Questions This Section Answers

• Which observed buyer questions support content briefs for At-Bay?

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

The recorded questions cluster around choosing a provider and comparing companies, with a smaller set on brokers and startups. At-Bay was mentioned in most of these questions but recommended in only some, and not at all in the broker and comparison variants.

These are answer observations, not search volume or proof that the website lacks content. Existing coverage should be checked before any new page is proposed.

We would propose buyer-question content briefs that address provider selection and comparison directly, using approved facts and clear positioning.

Our 90-day action plan

Questions This Section Answers

• How should the agency sequence the proposed At-Bay work and judge completion?

The first month establishes the baseline scorecard, a scoped fact-review register and a shortlist of pages and sources, each with an owner and a review status. The second month turns verified material 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. Completed work will be reported apart from measured answer outcomes, and no visibility gain is promised.

Client reviewers approve facts and page changes before anything is published or requested.

Methodology

Questions This Section Answers

• How are At-Bay 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 239 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 5072 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.

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 on a different sample, so month-to-month movement shows 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 counts sit inside recommendations rather than adding to them.

Answers can name several companies, so counts cannot be summed into distinct answers. Cited pages and any disputed claims still need independent verification.

Our first three priorities

First, confirm the facts behind At-Bay's presence in answers and keep a standing register, since a clean claim record is worth protecting as answers change. Second, review the priority company pages against approved facts and buyer questions, starting with the pages already cited, and brief changes only after that check.

Third, build content around provider selection and comparison questions, where At-Bay is mentioned but rarely endorsed. Each step depends on client-approved facts, and none guarantees a visibility gain.