AI site search integration
Visitors may describe a product or service differently than your navigation does. We connect your website to a supported Google Cloud search service and shape the results around your content, catalog fields and visibility rules. The project includes indexing and relevance checks, so the search interface has a defined source and an owner.
A few clients we’ve worked with
What we do
Add AI site search to an existing website or catalog with approved content, useful filters and tested search results.
Search built around your content and catalog
The scope is search within your own website or catalog. We start with a bounded content set and representative queries, then select the supported ingestion and search features needed for that dataset.
- Solution
- Integrations
- Connected systems
- Google Cloud + REST API
- Data flow
- Approved website content or catalog records populate the search index. The website sends a visitor query and permitted filters to the search API, then displays matching results. The CMS or catalog remains the source of truth; indexing updates follow the agreed refresh route.
- Index the right contentChoose eligible pages or catalog records and map their titles, URLs and useful attributes. Define exclusions for drafts, private pages and retired products. A public website crawl and a structured product feed have different capabilities and setup requirements.01
- Build results and filtersIntegrate the search request and result interface with the existing website. Select usable category or attribute filters and preserve visibility constraints on the server. Metadata fields must be configured for the chosen search route before filters can rely on them.02
- Evaluate relevance and refreshTest expected matches, synonyms, narrow product requests and queries with no useful result. Agree on content refresh and removal handling, and give staff a way to report stale results or missing records.03
Client reviews
“Norml Studio's professionalism and responsiveness were impressive.”
“They were proactive in suggesting improvements we hadn't considered.”
“They delivered what they said they would, on time.”
“They focused on how to make our daily operations easier, not just on building features for the sake of it.”
“They understood that the app needed to be practical for someone sitting in a car, not just look good on a desktop.”
“Their level of dedication to the success of the project and GoPetZen's business as a whole is unique.”
What we need before building
- A defined content collectionProvide the website, sitemap or supported catalog feed. Identify canonical URLs, product identifiers and fields visitors use to choose a result. We check ingestion eligibility before promising coverage.01
- Search account and application accessConfirm the Google Cloud project, enabled service, permissions and account limits. Hosting, indexing and query usage are part of the selected provider setup; no unlimited search allowance is assumed.02
- Queries and expected resultsSupply examples of what customers search for and the pages or products they should find. Name the person who can judge relevance and approve rules for unavailable or excluded items.03
How we build and test it
- [Inspect the content and search route]Step 01
Check the source structure and choose public website indexing or an appropriate structured-data route. Record the visibility rules and refresh responsibilities.
- [Build and compare results]Step 02
Connect the API and website interface, then compare returned results with the agreed query examples. Check filters, empty results and provider failures.
- [Verify updates and hand over]Step 03
Change or remove a controlled source record and verify the index follows the agreed process. Document relevance settings, account ownership and the fallback when search is unavailable.
The people who do this work.
Meet the whole teamNo account layer between you and them. These are the Norml specialists this work runs through.
Let's chat
“I've spent 10 years working across development and marketing. I started as a developer, but design, SEO and advertising were already part of the job. That taught me to treat a website as one system: the business, the content, the design and the code have to work together. At Norml, I lead the architecture behind our work and stay involved wherever strategy, design, development and search meet.”
Max TymoshynFounder & Architect
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From the Norml blog.
Questions about this implementation
Will AI search improve our Google rankings?
This implementation helps visitors search within your website. It is not an external search-engine ranking service, and no Google ranking or traffic improvement is promised.
Can we keep our current website?
Usually the search interface can be integrated with an existing site, but we first check its code, content access and provider requirements. A supported content source and a place to render results are necessary.
Can it search private or member-only content?
That needs authenticated identity and access-controlled retrieval. The initial public-site scope excludes private material. A public crawl or a filter hidden in the browser does not provide a private-content access boundary.
Why not add a chatbot instead?
Search is useful when people need to browse and compare several pages or products. A chatbot synthesizes an answer conversationally. We start with the interface that fits the visitor’s task; conversational answers would be additional scope.
Make your website’s content easier to find.
Share your website or catalog and several searches that should return better results. We will review the source data, filters and integration route.