Serpbays

For each order, an AI-generated writing brief draws on the host site's editorial style, target keyword intent, and the structure of competing top-ranked content. Users can review and edit the brief before approval, giving them control over the content direction while avoiding the need to develop detailed publisher-specific instructions from scratch.

Before committing to a placement, users can review an estimated ranking lift based on the target page's current position, the prospective link's authority profile, and historical performance from similar campaigns. This provides a directional assessment of the potential impact of a backlink and helps buyers evaluate placement opportunities before allocating their budget.

Publisher selection can be refined through a relevance score based on the site's recent content and its relationship to the buyer's niche. This approach looks beyond domain authority to identify websites with stronger topical connections, helping users avoid placements on high-authority domains that have limited relevance to their industry or target audience.

Before an article reaches the publisher, it passes through Originality.ai and a Claude-based quality review covering tone, structure, and brand fit. This additional review helps identify potential content issues before submission, reducing the likelihood of publisher rejection and limiting the back-and-forth revisions that can delay the placement process.

Serpbays features an AI campaign roadmap that creates a monthly placement plan using target queries, current rankings, and competitor link velocity. Teams can review the proposed placements and approve the plan before execution begins. This gives campaign managers a structured way to organize upcoming link placements around their search priorities and competitive landscape.