Old National Bank Appears in 11.7% of AI Answers. Here's Our Five-Step Plan to Improve Its AI Visibility.

Answer Capsule

In November 2026, Old National Bank appeared in 42 of 358 AI answers included in the Consumer Banking benchmark (11.73%). It received 5 recommendations (1.40%), with 2 Top 3 placements and 2 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 National Bank mentions, recommendations and placements compare with its Consumer Banking peers?

Old National Bank recorded 42 mentions (11.73%) and 5 recommendations (1.40%) across 358 answers included in the benchmark. Top 3 placements numbered 2; first-place recommendations numbered 2. Framing among its mentions was 7 positive, 35 neutral and 0 negative.

Old National Bank appears in roughly one answer in nine, which puts it in the middle of this peer set rather than at the front. Regions Bank and Santander Bank are mentioned far more often, so the practical gap is reach: more answers need to bring the bank into the conversation at all.

Recommendations are thin relative to mentions, and the few top placements sit inside that small recommendation group rather than adding to it. Positive framing is rare and neutral framing dominates, which suggests answers describe the bank without arguing for it. A scorecard separating mentions, recommendations and placement would let the client see which gap to work on first.

The monthly samples are separate selections, so this month's position should be read as a snapshot, not a trend line. Proposed work starts with a baseline scorecard and a shortlist of claims worth checking against primary sources.

What changed since last month

Questions This Section Answers

• How did Old National Bank 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, Old National Bank's mention count rose from 38 to 42, while its recommendation count fell from 18 to 5. The recommendation rate was 7.09% and 1.40% respectively.

Mentions rose slightly from October to November while recommendations fell sharply, and the top-three count moved down with them. The two movements point in different directions, so the month does not read as a simple gain or loss.

The samples behind each month differ, and a different answer total does not explain why counts or rates moved. The honest reading is that the observed record changed and the months are not directly comparable. Proposed work would track mentions, recommendations and placement as separate lines on one scorecard so future movement is easier to interpret without overclaiming.

Step 1. Measure

Questions This Section Answers

• What should the agency measure and verify first for Old National Bank?

AI answers contained 11 conflicting claims about Old National Bank: 0 critical, 0 high, 7 medium, 4 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.

The research surfaced a set of conflicting claims about the bank, mostly rated medium priority, with none critical or high. That distribution matters: it points to fact-checking work rather than an urgent correction campaign.

A visibility comparison would show where the bank stands against peers on mentions and recommendations, while a prioritized claim list would show which statements deserve verification first. Proposed work pairs the two so the client can decide where effort goes. Ratings indicate review priority only; they do not establish that the company or any publisher made an error.

Step 2. Make the website consistent

Questions This Section Answers

• Which recorded claim differences about Old National Bank 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 topics cluster around merger dates and total assets, including the First Midwest and Bremer Bank transactions. Each row records two AI answers that disagree, and neither column is a verified fact.

Before any page brief is written, the entity, date and source need checking against current primary documents. Different dates can reflect different events rather than a genuine conflict. Proposed work is a scoped fact-review register with an owner and evidence requirement per item, followed by page briefs only where verification supports a change.

Step 3. Align the external narrative

Questions This Section Answers

• Which cited third-party pages are relevant to fact review for Old National Bank?

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 pages listed for review span the bank's Wikipedia entry, Federal Reserve and SEC filings, and a locations report. They appear here because they connect to the company in captured answers; a citation does not establish that a page shaped any claim, and a page linked to a conflicting claim is not necessarily its origin.

Proposed work is a source review that checks each page's current contents before anything else. Only where a discrepancy is confirmed would the agency prepare evidence-backed requests, framed as corrections or clarifications, with no assumption of publisher error. Ambiguous company matches would stay outside that queue.

Step 4. Optimize priority company pages

Questions This Section Answers

• Which observed Old National Bank website pages should receive review briefs?

The company's website was cited 58 times across 44 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 bank's own site was cited across many distinct pages, and the selected list leans on location directories, deposit-timing FAQs and merger material. Several of those pages appear in benchmark answers but none in recommending answers, which is a placement observation rather than proof the pages are weak.

Proposed page briefs would use approved facts and the questions buyers actually ask, with existing coverage checked before any new page is suggested. A cited page is not automatically a page that accompanied a recommendation, so briefs should target clarity and completeness rather than chasing citation counts.

Step 5. Publish around buyer questions

Questions This Section Answers

• Which observed buyer questions support content briefs for Old National Bank?

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

The observed questions split into two kinds. Some ask directly about the bank, such as which bank merged with it, which states it serves and how long a deposit takes. Others are broader market questions where the bank was mentioned but not recommended.

The direct questions are the safer starting point because the bank can answer them with its own verified facts. Proposed work is a set of buyer-question briefs, each checked against existing pages first. These are recorded answer observations, not search volume or proof that a page is missing.

Our 90-day action plan

Questions This Section Answers

• How should the agency sequence the proposed Old National Bank work and judge completion?

The first month produces a baseline scorecard, a scoped fact-review register and a page and source shortlist, each with an owner and review status. The second month turns verified items into approved page briefs and justified publisher requests, with confirmed edits, no-change decisions and responses recorded separately.

The final month adds buyer-content briefs and a fresh scorecard. Delivered work is recorded apart from measured answer outcomes, and the comparability limits carry forward. Nothing in the plan promises a visibility gain; it promises documented, verifiable work.

Methodology

Questions This Section Answers

• How are Old National Bank 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 358 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 4569 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:

Reliable results for July 2026 are unavailable. This is a gap in the history, not a result of zero.

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 for the original answers are unverified. 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 company counts cannot be summed into distinct answers. Monthly samples differ, and comparisons describe recorded change without explaining it. Cited pages and disputed claims still need independent verification.

Our first three priorities

First, verify the merger-date and asset claims against current primary documents before any correction is considered, and keep ambiguous matches out of the queue. Second, prepare page briefs for the deposit-timing and location pages that already appear in answers, using approved facts and buyer questions.

Third, build buyer-question content around the direct questions about the bank's footprint and merger history, checking existing coverage first. A baseline scorecard should run alongside all three so mentions, recommendations and placement stay distinct. Each step depends on verification, and none guarantees a change in visibility.