Glossary

A proprietary 0–100 score Opphive assigns to every individual backlink, combining six weighted factors: topical relevance, link placement, domain authority, anchor text, brand mentions, and technical signals. It tells you whether a specific link is actively contributing to your rankings.

Example: A link inside a relevant editorial article from a trusted domain might score 84; a sidebar link on an unrelated directory might score 22.

Read more about Link Placement Score →

Opphive's five-tier classification (Good, Low Risk, Neutral, Suspect, Bad) for every linking domain, built from over 150 rulesets and the largest disavow dataset outside of Google.

Example: A long-established editorial publication scores Good; a PBN-pattern domain present in dozens of disavow files scores Bad.

Read more about LinkRisk Analysis →

The neutral baseline LinkRisk score every domain enters the algorithm with. Trust signals nudge it higher, spam signals nudge it lower, and the final number determines the risk band.

Read more about How LinkRisk works →

A Google Search Console mechanism that tells Google to ignore specific links or domains when evaluating your site. Used to neutralise spammy, paid, or otherwise manipulative backlinks.

Example: A domain in your LinkRisk Bad tier is typically a candidate for disavow.

Opphive's proprietary database of disavow entries aggregated from real sites - the largest such dataset outside of Google. Used as ground-truth signal for LinkRisk classification.

A 0–100 measure of a domain's overall link-based authority, used as one input into LPS and LinkRisk. Domain Rank alone is never enough to judge a link, but it correlates with how much trust a domain has accumulated.

A link Opphive classifies as actively contributing to your rankings, based on its LPS crossing a calibrated threshold (typically 60+). The opposite is a 'Not Helping' link.

Example: A profile with 1,200 links might have 340 Counting links - those are doing the work.

A 0–100 score Opphive assigns to every competing domain in your niche, built by constructing a full keyword universe, forensically analysing the SERPs for each keyword, and scoring every ranking domain across five dimensions: Breadth, Prominence, Top 3, Consistency, and Diversity. The output tells you which domains Google demonstrably trusts in your space.

Read more about Target Universe →

Four bands used to group domains by TUS score: Dominant (80–100), Strong (60–79), Moderate (40–59), and Low (20–39). Outreach should always start at the top.

The complete set of head terms, long-tail variants, and informational and commercial queries that describe a niche. A typical universe runs to thousands of keywords across a handful of seed terms. Used as the lens for TUS SERP analysis.

The five 0–100 sub-scores that combine into the headline TUS score. Breadth (how many niche keywords the domain ranks for), Prominence (overall weighted visibility), Top 3 (presence in positions 1–3), Consistency (reliability across the keyword set), and Diversity (range of topical themes).

The recommended route to earn a link from a TUS target - Paid Placement, Digital PR, Outreach, Sponsorship, or Unlikely. Assigned per domain based on how that publisher actually accepts links.

Per-domain expert view on how realistic a link is: High, Medium, Low, or Unlikely. Pairs with the Acquisition Strategy to tell outreach teams where to spend their effort first.

How visible, citable, and trusted your site is across AI-driven search - Google's AI Overviews, ChatGPT, Perplexity, Gemini, Claude. Opphive scores it across four dimensions.

Read more about AI Visibility →

The dimension of AI Visibility that measures readiness to appear inside Google's AI Overviews - semantic clarity, schema, extractability, and current citation frequency.

The dimension of AI Visibility that measures how well ChatGPT, Perplexity, Gemini, and Claude can find and correctly cite you when users ask about your category.

The dimension of AI Visibility that measures how clearly you exist as a recognised entity across the knowledge graph, Wikipedia, Wikidata, and the structured web.

The dimension of AI Visibility that measures authorship, sourcing, citation patterns, and editorial transparency - the signals that increasingly decide whether AI systems treat you as authoritative.

An audit of whether the right structured-data markup is present and correct to support AI Overviews, knowledge panels, and LLM citation. A component of the AI Visibility audit.

Opphive's overarching methodology - combining Link Analysis, Target Universe, and AI Visibility - for managing every signal that influences how search engines and AI systems perceive a site.

Read more about Our Methodology →