Use cases/SEO tracking
Public-data workflow

SEO rank & SERP-feature tracking

Check live organic and AI SERPs for any keyword set — positions, target visibility, competitor domains, and rich features.

SEO, growth, and automation teams that want rank data inside an agent, not a dashboard.

Why it is hard

Public signal is scattered across platforms.

Rank tracking usually means a seat-based SEO suite built for a human dashboard. An agent just needs the live SERP records for a query set — positions, SERP features, and cited sources — returned per record so it can monitor, compare, and report without a standing project.

Live SERP positions for the keyword set

Competitor domains and rich SERP features

Target-visibility and movement notes

Cited sources and follow-up queries

Run prompt

Start the agent from a concrete task

Replace the market, brand, competitor, or creator set, then let the agent call UnifAPI MCP only when it needs live public-data evidence.

Check live organic and AI SERPs for these keywords in this market. Return positions for our domain, competing domains, SERP features, and cited sources, then flag where visibility moved.
Workflow

From public records to a decision brief

1

Give the agent a keyword set

Start from a list of queries, a target domain, and a market or location instead of opening a rank-tracking project.

2

Fetch live SERP records

UnifAPI returns ranked elements, target visibility, competitor domains, SERP features, and query metadata through one MCP or HTTP surface.

3

Report what moved

The agent summarizes positions, highlights gains and losses, cites the SERP evidence, and suggests the next checks — no spreadsheet export required.

Live API sources

APIs this workflow can call

Next step

Run it as a Skill, then productize over HTTP.

Use the related Skill when a human wants an agent-ready brief.

Use the API catalog when the workflow graduates into production code.

Keep every public-data call tied to a source URL, request id, and billing record.