Best AI Site Search Platforms for Banks in 2026

Intro

A bank raises its savings rates on a Monday. By lunchtime, the product page has the new number, but a help article from 2024 on the same site still quotes the old one, and nobody on the web team remembers it's there. On Tuesday, a customer searches "easy access savings interest."

With ordinary keyword search, both pages would come up, and the customer would probably click the newer one. AI search writes an answer instead, and if it builds that answer from the 2024 article, the bank has quoted the wrong rate to a customer on its own website. A compliance team will eventually find that in the logs and ask how it happened.

When banks evaluate AI search, the conversation usually turns quickly to what the system is allowed to read, whether customers can see where an answer came from, and how fast someone on staff can correct a wrong one.

Of the five platforms covered here, AddSearch is built for public website search and content discovery, and Yext grew out of structured branch and advisor data. Lucidworks and SearchBlox are enterprise search vendors with deployment options that keep data inside the bank's own environment. Kasisto doesn't do website search at all, but it builds AI only for banks and comes up often enough to include.

How the five compare

Platform	Built around	Strongest fit	Pricing
AddSearch	Keyword Search, AI Answers and AI Conversations in one platform	Public websites of banks, insurers and wealth managers	From $119 a month for Keyword Search and $700 a month for AI Answers, billed annually. AI Conversations is quoted
Yext	A knowledge graph of branches, advisors and products	Banks with large branch or advisor networks	Custom
Lucidworks	Neural hybrid search and AI agents	Large institutions that want SaaS, self-hosting, or a mix of both	Custom
SearchBlox	Hybrid search with generative answers and a private LLM option	Institutions searching sensitive or encrypted data	Fixed annual fee, quoted
Kasisto	A language model built for banking, plus KAI Answers	Answers for branch and contact center staff	Custom

1. AddSearch

AddSearch is the closest fit here for the public website. Under the AddSearch Experience name, keyword search, AI Answers, and AI Conversations run as one platform on the bank's own indexed content. A customer who types "can I overpay my mortgage this year without a fee" gets a short written answer above the regular results, and if she then asks how an overpayment would change her monthly payment, the conversation picks up from her first question.

Most of the questions banks ask in a demo are about control. The bank's own digital team chooses which pages and PDFs the AI is allowed to use, so a withdrawn product or an old draft rate sheet stays out of replies. Answers include links to their source pages, and if the available indexed content doesn't support a useful answer, the experience can direct the customer back to the relevant source material. Content behind a login is restricted by role.

It won't move money or show anyone their balance, so it isn't a substitute for the assistant in a bank's mobile app. The conversation logs are more useful than they sound, though. A month of them usually points to the product page nobody understands and the fee that isn't explained anywhere on the site.

AddSearch calls itself an AI search and conversational content discovery platform, and for banks it handles the implementation itself, from building the index and interface to configuring answers and training staff, usually in two to four weeks. Banks happy with their current search provider can add AI Answers or AI Conversations next to it. Keyword Search starts at $119 a month and AI Answers at $700 a month, both billed annually, with AI Conversations and the full Experience priced on request. The company holds SOC 2 Type II certification, and its banking page states that institution content isn't shared or used to train third-party models.

2. Yext

Branch hours and ATM locations get searched constantly on a regional bank's site, and they're structured facts more than content. Yext was designed around that. It stores branches, advisors, and products as entries in a knowledge graph, and the same entry feeds site search, a landing page for each location, and the bank's listings on Google and Apple Maps. Change a branch's Saturday hours once, and the change shows up everywhere.

Long documents don't suit that model as well. A terms and conditions PDF that runs to 40 pages doesn't break down neatly into entities, and a bank whose search problems are mostly in documents would spend more time modeling content than it would with a product that simply crawls and indexes pages.

Yext's strongest work in financial services is in wealth management. Morgan Stanley has used it since 2018 to run more than 15,000 advisor websites, and the Hearsay acquisition in 2024 added compliance workflows for advisor pages and social posts under FINRA and SEC rules. Its Financial Services Cloud also has a guided search feature that steers visitors toward a product or an advisor. Pricing is custom, and because Yext now sells AI visibility and marketing tools as well, a proposal may include more than search.

3. Lucidworks

Lucidworks usually makes a bank's shortlist because of where it can run. It's available as SaaS, as software installed in the bank's own environment, or as a hybrid of the two, so a risk team that won't approve customer content in a shared cloud doesn't end up blocking the project. Lucidworks AI also lets the bank pick which language models generate the answers, and Everest Group named Lucidworks a leader in its 2026 assessment of enterprise search products.

The search combines keyword and vector retrieval, which Lucidworks calls neural hybrid search, with Q&A agents that answer from indexed content, and business users handle analytics, interface changes, and agent setup in Lucidworks Studios without writing code. Most of the published case studies come from retail and manufacturing, though. That doesn't make it a bad choice for a bank, but it's fair to ask how much of the platform would actually be used for documents and policy content, and who would handle the implementation. That's usually Lucidworks' services team or a partner. Pricing is quoted.

4. SearchBlox

SearchBlox has been selling search software since 2003, and its pitch to financial institutions is built around sensitive data. Its privacy module lets staff search records containing personal information while those fields stay encrypted, and only users with the right privileges see the actual values. Generative answers come from the SearchAI layer, which sits on top of hybrid search and can use a private language model, so content doesn't have to go to an outside model provider. It deploys on premises or in the cloud, and SearchAI is SOC 2 attested and certified to ISO/IEC 27001 and 42001.

It's a stronger product for internal and secure search than for a public website. A bank that mainly wants conversational answers on its marketing site will probably spend more time on design and configuration than it would with a product built for websites. The managed offering is sold for a fixed annual fee rather than per query, which is unusual for the category, with limits on documents and search volume. More than 600 organizations use SearchBlox, and the free trial runs for a month with support included.

5. Kasisto

Kasisto doesn't sell website search, but it appears on so many bank AI shortlists that it belongs here. The company has only ever built for banks, and its KAI products run on a language model trained on financial data and banking conversations. Westpac was one of the first banks to roll out KAI Answers.

KAI Answers reads policies, procedures, and regulatory filings along with web content, then gives generated answers with citations. Most of its users work for the bank, like a contact center agent with a customer on hold who needs to check whether that customer qualifies for a hardship plan. The same answers can also feed a customer's virtual assistant.

Backbase acquired Kasisto in June 2026. Banks already on Backbase's digital banking platform will likely find it easier to adopt, and others should ask about the roadmap, standalone availability, and contract terms while the two companies merge their products. A bank whose main problem is customers not finding the right savings account page won't get much out of a tool built for its employees.

What AI search will repeat to your customers

All five platforms answer from content the institution provides, so the state of that content matters more than it did when search only returned links.

If the same savings rate appears on a product page and in a blog post from last spring, a results page at least shows the customer two dates. A generated answer might use the wrong one without saying so. Before launch, someone has to find every page that publishes a rate, fee, or limit and decide which one is the source of record. The rest should be excluded from AI answers or taken down.

Summaries also tend to drop the conditions attached to an introductory APR, which sit right next to the rate on the product page. Test this before going live, and decide whether some topics should return a link with no generated summary.

Terms for older accounts usually stay online for existing customers, which is correct, but a person opening a new account shouldn't get an answer based on them. An exclusion rule or a separate section of the site fixes this once the affected pages have been listed.

The system also needs an owner after launch. When a rate changes, the index has to pick it up quickly, and somebody should read the answer logs the following week. Agree on who reviews unanswered and flagged answers, how often that happens, and who can remove a topic from AI answers at short notice. Compliance teams are much more comfortable once they know that option exists and who's responsible for it.