Use cases/Backlink research
Public-data workflow

Backlink & competitor research

Map a domain's backlinks, referring domains, anchors, and ranked keywords against its competitors.

SEO and competitive-research teams that need link and keyword evidence on demand.

Why it is hard

Public signal is scattered across platforms.

Link and competitor analysis is locked inside SEO suites priced per seat. An agent needs the underlying records — backlinks, referring domains, anchors, ranked keywords, and competing domains — as normalized JSON it can rank, diff, and cite alongside social and news evidence.

Backlink, referring-domain, and anchor records

Ranked keywords and competing domains

Link and keyword gap analysis

Source records for every claim

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.

Profile this domain's backlinks, referring domains, and anchors, then compare its ranked keywords against these competitors. Return the strongest links, gaps, and overlap with evidence.
Workflow

From public records to a decision brief

1

Resolve the domain and competitors

Start from a target domain and a competitor set; the agent chooses the narrowest backlink and keyword operations to call.

2

Pull link and keyword records

UnifAPI returns backlinks, referring domains, anchors, ranked keywords, and competing domains in one normalized envelope.

3

Diff and explain

The agent ranks the strongest links, finds keyword gaps and overlap, and returns a brief with citable records instead of a static dashboard view.

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.