Solutions

SEO API for SaaS platforms

Embed AI visibility, rankings, backlinks, audits, and search workflows into your product without building the data layer from scratch.

Built for product teams shipping search features

For SaaS teams that want customer-facing search intelligence, internal tooling, and faster feature delivery without extra data infrastructure work.

Product integration

Ship search intelligence faster inside your product

Use one API to add AI visibility and SEO data to your platform instead of building the search data layer in-house.

Start with one API

Connect once and pull the search data your product needs without managing multiple vendors and endpoints.

Launch features without building the data layer

Focus product effort on the user experience instead of scrapers, proxies, and collection infrastructure.

Shape the product experience your own way

Build customer-facing features, internal tools, and workflows on top of one consistent search foundation.

Customer-facing features

Embed search intelligence directly into the product

Use Surnex to power dashboards, workflows, and product experiences that surface useful search data to your users.

Internal tooling

Support ops and product teams with the same API layer

Use one implementation for customer features, internal analysis, and repeatable workflows that keep the product team moving.

Modern search coverage

Add AI visibility and core SEO in the same product surface

Cover newer AI search signals alongside rankings, backlinks, and audits without stitching together several providers.

Why it fits

A faster way to ship search features

Reduce infrastructure drag and focus product effort on the workflows and user experience your platform needs to deliver.

Common questions

FAQs for SaaS platforms

Answers to the questions product teams ask when they want to launch search intelligence faster.

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Ship search features faster

Use one API to build your own search intelligence experience

Embed AI visibility and SEO data into product features, internal tools, and automated workflows without building the data layer yourself.

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