A 90-Day AI Search Plan for Banks

Key takeaways

  • A bank's first 90 days establish an ongoing AI search process. The plan sets up an owner, a question set and a baseline, fixes what is within the bank's control for a few priority products, and ends with a decision on what comes next.
  • The bank's own processes set the pace more than ChatGPT, Perplexity or Google's AI features do. Compliance review and the web release calendar determine how much reaches the live site within the quarter, so book time for both in the first two weeks.
  • Day 90 should show a dated baseline, a set of published fixes and a first reading against the baseline. Google says recrawling can take from a few days to a few weeks, and AI answers move on their own, so business results belong to later quarters.

The budget for a first phase of AI search work has been approved, and the VP of digital marketing who asked for it owes the CMO a progress report in 13 weeks. The report has to show what changed and whether to keep going. That is enough time to set the work up properly and fix the most important gaps for a few products. It is not enough time to change everything, and a plan that tries is likely to end the quarter with drafts still waiting for review.

This playbook lays out the quarter week by week and team by team. It assumes the bank has already decided who owns AI search, which our article on strategy, ownership and operating model covers, and it uses the audit method described in our guide to running an AI visibility audit for a bank.

A wall planner with review, release and measurement rows and colored scheduling notes.
Book review and release time before the work starts.

What does a 90-day AI search plan for a bank look like?

The first two weeks set the scope and book the bank's internal time. Weeks 3 to 5 measure the starting point and audit the priority products. Weeks 6 to 10 publish the fixes. Weeks 11 to 13 measure again and prepare the decision.

Weeks Focus What exists at the end
1 to 2 Scope, owner, question set, access and calendar bookings A signed-off scope for a few priority products, the question set, access to the reporting tools and booked review and release dates
3 to 5 Baseline and audit A dated baseline by product and platform, and a ranked fix list with an owner for each line
6 to 10 Fixes Access and accuracy fixes live, rewritten product passages through compliance and published, outside listing corrections requested
11 to 13 Remeasurement and decision A second reading against the baseline, a short report for the CMO and a recommendation on the next quarter

The weeks are a guide. A bank with a slow release cycle may need to move the page fixes later, and one with a dedicated compliance reviewer may finish them sooner. Keep the steps in order so the baseline records conditions before any fixes are made.

Weeks 1 and 2 set the scope and book the bank's time

Most of the work in these two weeks is internal. Pick a small number of priority products where the bank's offer competes and a new customer is valuable, and write down why each was chosen. Agree with the CMO on what the day-90 report will contain and what result would justify a second quarter. Use those criteria to make the decision at the end.

Build the question set for those products, covering the stages of choosing and the versions that name a city or a customer situation. Our guide to measuring a bank's AI search visibility explains how to keep the set fixed so that later changes reflect the answers rather than the questions.

Request access early, because it takes time at a bank. That includes read access to Google Search Console and Bing Webmaster Tools, whose AI reports our audit guide describes, and the analytics views that show AI assistant referrals.

Then book compliance review and web release time, which the rest of the plan depends on. Ask compliance for review slots in weeks 6 to 10 and agree on which kinds of change can take a faster path, such as correcting an outdated fee. Ask the web team for release slots in the same weeks for template, structured data or crawler access changes, so the fixes do not queue behind other work.

Weeks 3 to 5 measure the starting point

Run the question set and the audit checks described in our guide to running an AI visibility audit for a bank, for the priority products only.

Date the results and store them where the whole team can see them. This baseline is what the day-90 report is compared against, and it is also the evidence that turns a general concern into a specific fix list.

Share the audit's fix list with the responsible teams before week 6, so they can review their tasks before the meeting.

Weeks 6 to 10 publish the fixes

Take the fixes in the order the audit ranked them. Crawler access changes are applied fastest, within about a day on the platforms that document it, though answers may take longer to change. Accuracy corrections come next, such as an outdated rate on an old page or a wrong fee on an outside listing. On Your Money or Your Life topics like these, a wrong figure is a compliance issue as well as a visibility one.

Product page rewrites take longest because they pass through compliance. Draft the passage that answers the customer's question on its own, with the rates, fees and eligibility drawn from approved product facts, and send it to review in the slots booked in week 1. Our article on keeping bank content compliant while optimizing for AI search covers what reviewers will look for in a passage that may be quoted alone.

Work on outside source corrections alongside the page rewrites. The partnerships or affiliate team contacts comparison sites and publishers with the current terms, using wording compliance has approved. Many will update on their own schedules, so the plan should record when each request was sent rather than expect every listing to change within the quarter.

Once pages are live, help Google find the changes. Google recommends a sitemap for large numbers of URLs and notes that requesting a recrawl repeatedly for the same page will not speed it up. It also says crawling can take anywhere from a few days to a few weeks and that a crawl request does not guarantee inclusion.

A web release calendar and a compliance review tracker side by side on a monitor.
Fixes reach the site only through these two queues.

Weeks 11 to 13 measure again and prepare the decision

Run the same question set the same way as in weeks 3 to 5, and compare by product and platform. Compare the change with the variation observed across repeated baseline runs. A small movement inside that range is noise, and a fix that has been live for two weeks may not have been picked up yet.

Add the first-party data. The Search Console report shows whether impressions in Google's AI features changed for the pages that were fixed, and analytics shows any change in visits from AI assistants. Neither shows how the bank was described, which is why the answers themselves stay the primary measure.

The day-90 report should be short. It states what the baseline found, which fixes went live and when, what moved and what did not, which fixes are still in the queue and what the next quarter should cover. Our business case article explains why the first real decision point belongs at the end of the first quarter, with business outcomes read in the quarters after.

What each team does over the 90 days

The plan touches several teams for short, predictable stretches. Setting out each team's part in advance makes the requests easier to plan around.

Team Weeks 1 to 2 Weeks 3 to 5 Weeks 6 to 10 Weeks 11 to 13
Marketing owner Sets scope, criteria for day 90 and the question set Runs the baseline and audit, writes the fix list Drafts passages, tracks every fix to publication Remeasures, writes the report and recommendation
Product Confirms the priority products and current terms Checks answers flagged as inaccurate Approves the product facts in each rewrite Reviews the report for the products covered
Compliance Books review slots, agrees on a faster path for corrections Reviews the accuracy findings Reviews rewritten passages and listing corrections Notes review turnaround for the next quarter's plan
Web and IT security Books release slots, grants tool access Confirms crawler, firewall and snippet settings Ships access, template and page changes Confirms what went live and when
Partnerships or affiliates Lists the comparison sites and partners for each product Checks how each listing describes the products Sends correction requests with current terms Reports which listings changed
Analytics Sets up AI assistant referral reporting Records the starting point in analytics Tags changed pages for later comparison Pulls the before and after view

Where CB/I Digital fits

CB/I Digital plans a first quarter backward from a bank's compliance and release calendars, so the fixes that matter most have review and release time reserved before the work starts. Within that plan, we run the baseline and audit, draft the passages and listing corrections for the bank's reviewers, and prepare the day-90 report.

Our SEO & AI Search services include this planning work. If you are preparing a first quarter of AI search work, we can build a 90-day plan around your review and release calendar.

Frequently asked questions

Can a bank run this plan in less than 90 days?

The measurement and audit can move faster, but the fixes rarely can, because they depend on review and release slots and on platforms recrawling the pages. A shorter plan risks publishing fixes too late to be measured, which leaves the end-of-quarter decision without evidence.

What if compliance review takes longer than planned?

Keep the order and move the dates. Publish the access fixes and the accuracy corrections compliance agreed to fast-track first, and carry the remaining rewrites into the next cycle. Record the review turnaround, because it becomes part of the case for a faster review path in the next quarter.

What if the baseline shows the bank is already well represented?

Then weeks 6 to 10 can focus on accuracy and on the products where the bank is weakest, and the report at day 90 can follow the approach our business case article suggests for a bank that is already well described.

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