Obie Appears in 2.4% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Answer Capsule

In November 2026, Obie appeared in 2 of 85 AI answers included in the Landlord Insurance benchmark (2.35%). It received 2 recommendations (2.35%), with 1 Top 3 placement and 1 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 Obie mentions, recommendations and placements compare with its Landlord Insurance peers?

Obie recorded 2 mentions (2.35%) and 2 recommendations (2.35%) across 85 answers included in the benchmark. Top 3 placements numbered 1; first-place recommendations numbered 1. Framing among its mentions was 2 positive, 0 neutral and 0 negative.

Obie appears in only a small share of the benchmark answers, and its recommendations match its mentions, so the brand is rarely surfaced and rarely endorsed. The leading insurers dominate both mention and recommendation counts, which means Obie is competing for attention against names buyers already expect to see.

The positive framing of every mention is a useful asset, but it does not substitute for reach. A brand that is described favorably yet seldom included has little chance to influence a buyer's shortlist. The agency would treat reach and endorsement as separate goals and track them separately.

The single first-place placement sits inside the shortlist and recommendation counts, so it should not be read as additional exposure. Proposed work would build a scorecard that keeps reach, placement and framing distinct, giving the client a clear view of where the gap is widest.

What changed since last month

Questions This Section Answers

• How did Obie 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, Obie's mention count fell from 30 to 2, while its recommendation count fell from 30 to 2. The recommendation rate was 15.87% and 2.35% respectively.

The November sample shows a much lower mention and recommendation count than October, and the recommendation rate moved down with it. The earlier months show a steadier pattern, with recommendations tracking mentions closely throughout.

The monthly samples differ in size and composition, so the November figures are not directly comparable with the earlier months. The observed movement should be read as a separate selected sample rather than a trend line. No cause for the change can be established from these results.

Proposed work would keep each month's results labeled as its own sample and avoid presenting month-to-month shifts as performance gains or losses. A consistent scorecard would let the client see the movement alongside the comparability limit rather than in isolation.

Step 1. Measure

Questions This Section Answers

• What should the agency measure and verify first for Obie?

AI answers contained 0 conflicting claims about Obie: 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 Obie were recorded in the captured answers, so there is no immediate fact-checking queue tied to the brand. That is a clean starting position, but it also means the measurement work should focus on reach and placement rather than dispute resolution.

A visibility comparison against the leading insurers would show where Obie is absent and where it appears without endorsement. Proposed work would pair that comparison with a scoped fact-review register, so any future claim can be checked against primary sources before action.

The register would record an owner, an evidence requirement and a review status for each item. This keeps fact-checking separate from visibility work and prevents unverified claims from driving page changes.

Step 2. Make the website consistent

Questions This Section Answers

• Which recorded claim differences about Obie 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.

No disputed topics were supplied for this part of the analysis, so there is nothing to correct on the website at this stage. The absence of findings is not evidence that every page is accurate; it means no claim reached the review threshold in this sample.

Proposed work would begin with entity and date checks on any claim that later surfaces, since different dates or company names can explain an apparent conflict. Page briefs would be prepared only after those checks confirm a genuine gap.

Any correction would require current primary-source verification before a brief is written. Ambiguous company matches would stay outside the correction queue until the entity is resolved.

Step 3. Align the external narrative

Questions This Section Answers

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

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 third-party pages were cited alongside answers that mention Obie, including comparison and education sites. Citation does not establish that a page influenced an answer, and none of the listed pages is linked to a conflicting claim about the company.

The current contents of these pages still need checking before any request is made. A page that appears in an answer is not necessarily a page the publisher controls in Obie's favor, and a citation alone is not grounds for a correction request.

Proposed work would review the selected pages against approved facts and prepare evidence-backed requests only where a genuine discrepancy is confirmed. Requests and responses would be logged separately from confirmed edits and no-change decisions.

Step 4. Optimize priority company pages

Questions This Section Answers

• Which observed Obie website pages should receive review briefs?

No results are available for this part of the analysis.

The company's website was cited 0 times across 0 distinct page addresses; the table shows 0 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.

No Obie-owned pages were cited in the captured answers, so the website is not currently contributing to the brand's AI visibility in this sample. That is a gap worth understanding before new pages are proposed.

Proposed page briefs would draw on approved company facts and the questions buyers actually ask, rather than assuming what a page should say. Existing coverage would be checked first so that new work fills a real gap instead of duplicating a page.

A cited page is not automatically a page that accompanied a recommendation, so the briefs would target clarity and completeness rather than chasing citation counts. Each brief would carry an owner and a review status.

Step 5. Publish around buyer questions

Questions This Section Answers

• Which observed buyer questions support content briefs for Obie?

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

The recorded questions focus on which company offers the best landlord insurance and which is cheapest. Obie was mentioned and recommended in the answers to both, which suggests the brand can appear when the question is framed around value and choice.

These are answer observations, not search volume or proof of missing website content. Existing coverage should be checked before any new page is proposed, since a question appearing in an answer does not mean the website lacks material on it.

Proposed buyer-question briefs would address value, coverage and cost comparisons in plain language, using approved facts. Each brief would note the question it serves and the evidence behind any claim it makes.

Our 90-day action plan

Questions This Section Answers

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

The first month would establish a baseline scorecard, a scoped fact-review register and a shortlist of pages and sources to examine. Each record would carry an owner, an evidence requirement and a review status so progress is visible.

The second month would produce approved page briefs and any justified publisher requests, with confirmed edits, no-change decisions, requests and responses recorded separately. The third month would deliver buyer-content briefs and a fresh scorecard.

Delivered work would be reported separately from measured answer outcomes. Completing a brief or sending a request is not the same as a change in visibility, and the plan would keep those two records distinct.

Methodology

Questions This Section Answers

• How are Obie 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 85 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 5347 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.

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

The visibility rates rest on answers that met the benchmark's inclusion rules, and the exact collection dates for the original answers have not been verified. A company counts as recommended only when an answer endorses it with positive wording; shortlist and first-place counts sit inside those recommendations.

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

Our first three priorities

The first priority is to understand why Obie appears so rarely while every mention is positive. A visibility comparison against the leading insurers would show which questions and formats leave the brand out, giving the client a focused starting point rather than a broad campaign.

The second is to check the third-party pages that appear alongside Obie mentions and confirm whether their current contents match approved facts. Any request would follow primary-source verification, and ambiguous matches would stay out of the queue.

The third is to prepare buyer-question briefs around value and cost, after checking existing coverage. These three strands would run in parallel, with delivered work recorded separately from measured answer outcomes.