Enterprise link intelligence

OppHive

Enterprise link analysis plus a full AI suite for entity signals and PR ideation.

OppHive link intelligence dashboard

What it is

OppHive, in plain terms.

OppHive is an enterprise-grade link analysis platform. It takes a brand's entire link profile, runs it through a proprietary scoring algorithm the team built from the ground up, and gives the user a genuine read on the strength of that signal and exactly what to do to improve it. Sitting alongside the link work is a full AI suite for entity audit signals and PR ideation, so the same platform tells you what the search engines and language models currently think of you, and what to publish next to change that.

The business model

Why it makes money.

Link data is a commodity; a defensible read on it is not. OppHive sells the interpretation. The proprietary score, the entity signals and the PR ideation are the difference between another database and a decision-making tool, which is why in-house teams and agencies pay for it as their working layer rather than as a report.

The clever bits

Details that make the difference.

01

A proprietary scoring algorithm

Rather than reselling a third-party domain metric, OppHive computes its own score across the axes that actually matter for the client's niche, so users understand what they have and what to change.

02

An improvement plan built into the score

Every score comes with the specific moves that would lift it, so the platform is prescriptive rather than descriptive.

03

A full entity-signal AI audit

It measures how the brand shows up as an entity across search and LLM answers (name, associations, freshness, corroboration) and surfaces the gaps most SEO tools still ignore.

04

AI-driven PR ideation

Given the entity gaps and the competitive picture, it proposes specific PR angles and story hooks the team can pitch, closing the loop from analysis to action.

05

External data, unified read

Live link, SERP and LLM-visibility data from multiple external providers are normalised into one score and one plan, instead of five tabs and a spreadsheet.

How it's built

Under the hood.

A React and TypeScript application over a serverless backend, pulling live link, SERP and AI-visibility signals from multiple external databases and layering the scoring algorithm and LLM ideation steps on top. The heavy computation runs as background jobs, so the working surface stays fast even on enterprise-sized link profiles.

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