Old Republic Home Protection Appears in 19.5% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Answer Capsule

In November 2026, Old Republic Home Protection appeared in 128 of 656 AI answers included in the Homeowners Protection benchmark (19.51%). It received 121 recommendations (18.45%), with 52 Top 3 placements and 18 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 Old Republic Home Protection mentions, recommendations and placements compare with its Homeowners Protection peers?

Old Republic Home Protection recorded 128 mentions (19.51%) and 121 recommendations (18.45%) across 656 answers included in the benchmark. Top 3 placements numbered 52; first-place recommendations numbered 18. Framing among its mentions was 124 positive, 4 neutral and 0 negative.

Old Republic Home Protection sits in the lower half of the tracked set, well behind the leading brands on both mentions and recommendations. Its positive framing is strong, so the gap is reach rather than tone: answers that do discuss the company tend to speak well of it.

Placement is the sharper constraint. The company rarely appears at the top of an answer, which matters because buyers often act on the first name they see. A visibility scorecard separating reach, placement and wording would let the client see which gap to work on first.

Because the benchmark counts only answers that met its inclusion rules, treat these figures as a starting baseline rather than a market share. The agency would confirm the baseline before setting targets.

What changed since last month

Questions This Section Answers

• How did Old Republic Home Protection counts and coverage differ across the available monthly snapshots?

From October 2026 to November 2026, Old Republic Home Protection's mention count fell from 154 to 128, while its recommendation count fell from 134 to 121. The recommendation rate was 19.71% and 18.45% respectively.

Across the recent monthly samples, mentions and recommendations both moved lower in the latest month, while top-three and first-place counts stayed within a narrow band. The recommendation rate eased alongside the mention rate.

The monthly answer samples differ, so the movement describes what was recorded rather than a proven trend. A smaller answer total does not by itself explain the change in counts or rates, and the report does not claim it does.

The practical step is to keep the monthly scorecard running and watch whether the movement persists across further samples before treating it as a direction.

Step 1. Measure

Questions This Section Answers

• What should the agency measure and verify first for Old Republic Home Protection?

AI answers contained 2 conflicting claims about Old Republic Home Protection: 0 critical, 0 high, 2 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.

Two conflicting claims about monthly price appeared in the captured answers, both rated medium priority. Neither rating shows that the company or a publisher got anything wrong; it only flags where a fact check would be worth the effort.

A visibility comparison paired with a short list of claims to verify gives the client a clear order of work. The agency would build that scorecard and claim list first, so later page and publisher work rests on confirmed facts rather than on AI statements.

Step 2. Make the website consistent

Questions This Section Answers

• Which recorded claim differences about Old Republic Home Protection 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 monthly price, where recorded answers give materially different ranges. Both columns are AI statements, not verified company facts, so the first task is to confirm the entity, the date and the source behind each figure before deciding whether anything needs correcting.

Different dates can explain an apparent conflict, so the agency would check current primary sources first. Only then would it draft a page brief, and only if the check supports a change. Where the evidence is ambiguous, the item stays out of the correction queue.

Step 3. Align the external narrative

Questions This Section Answers

• Which cited third-party pages are relevant to fact review for Old Republic Home Protection?

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 widely cited pages were selected because they relate to the company in captured answers, and each is linked to one of the conflicting price claims. A link is not proof of cause, and the same answer can touch more than one page.

The agency would review the current contents of these pages before making any request, then approach publishers only where a specific, evidence-backed correction is justified. Requests would be framed as clarifications, with confirmed facts attached, and responses logged whether or not an edit follows.

Step 4. Optimize priority company pages

Questions This Section Answers

• Which observed Old Republic Home Protection website pages should receive review briefs?

The company's website was cited 8 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.

The company's own site was cited only a handful of times across a few page addresses, which is modest given how often the brand appears in answers. That suggests room to strengthen the pages answers already draw on.

Page briefs would use approved company facts and the questions buyers actually ask, starting with the pages already cited. The agency would check existing coverage before proposing anything new, and would treat a citation as a prompt to review a page, not as proof it shaped a recommendation.

Step 5. Publish around buyer questions

Questions This Section Answers

• Which observed buyer questions support content briefs for Old Republic Home Protection?

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

The recorded questions cluster around state-level and review-led choices, with Texas and California appearing most often, alongside several other states. These are observed answer topics, not search volume or verified demand.

Content briefs would address these buyer questions directly, using approved facts and clear comparisons. Before drafting, the agency would check whether the site already covers each question, so new pages are proposed only where a genuine gap exists.

Our 90-day action plan

Questions This Section Answers

• How should the agency sequence the proposed Old Republic Home Protection work and judge completion?

The first month establishes the baseline scorecard, a scoped fact-review list and a shortlist of pages and sources, each with an owner and a review status. This groundwork keeps later work tied to confirmed evidence.

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

Delivered work is recorded apart from measured answer outcomes. Completing these tasks does not guarantee a visibility gain, and the scorecard will show movement and its comparability limits side by side.

Methodology

Questions This Section Answers

• How are Old Republic Home Protection 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 656 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 4858 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 report covers a single month, and the exact dates the original answers were collected have not been verified. Rates rest on 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 counts cannot be added to find distinct answers. Sentiment describes answer wording, not customer satisfaction. Cited pages and disputed claims still need independent verification, and monthly samples differ, so comparisons show what changed, not why.

Our first three priorities

First, confirm the disputed monthly price claims against current primary sources before any correction is considered, keeping ambiguous items out of the queue. Second, review the cited third-party pages and the company's own cited pages, then prepare evidence-backed requests and page briefs only where the facts support them.

Third, build buyer-question content around the state-level and review-led topics answers already raise, checking existing coverage first. Running alongside these is the monthly scorecard, which keeps visibility, placement and wording visible as separate measures so progress is judged on confirmed work rather than assumed gains.