Request a Quote for Entity-Based SEO Optimisation | Prebo Digital

What is entity-based SEO optimisation and why it matters

Entity-based SEO optimisation shifts focus from individual keywords to semantically connected entities, knowledge graphs, and structured data. For US founders, marketing directors, and Shopify store owners, this approach improves topical authority, reduces dependence on single-term rankings, and supports more reliable organic revenue growth across the funnel.

How it aligns with revenue-first goals

Entity-based SEO optimisation is designed to increase relevant organic conversions, not just traffic. By mapping entities to buyer intent and funnel stages (TOF → MOF → BOF), teams can prioritise content and schema changes that lift conversion rates and Lifetime Value (LTV) while controlling Customer Acquisition Cost (CAC).

• Improved topical authority for category-level queries that drive MOF and BOF conversions.
• Structured data and entity linking to increase SERP real estate and click-through quality.
• Reduced keyword volatility through diversified entity coverage.

What we evaluate before we quote

A precise quote for entity-based SEO optimisation requires a technical and content audit. Typical pre-quote checks include site architecture, schema implementation, content gaps against key entities, backlink profile relevance, and analytics accuracy (GA4, server-side tracking). We reference our service frameworks when scoping work - learn about our service approach on the Services page.

Estimative ranges often depend on business size: small eCommerce stores with under 1,000 SKUs typically see scoped projects from $6,000-$15,000 for initial entity mapping and technical fixes, while enterprise-level implementations can exceed $40,000 depending on integration and content scale. These are estimates and will be refined after a scoping audit.

Scope examples we price separately

• Entity mapping and taxonomy design tied to commercial intent.
• Schema markup rollout (Product, FAQ, Organization, LocalBusiness, Breadcrumb).
• Content clusters and hub pages targeting MOF/BOF entity signals.

Prebo Digital takes a systems-first approach: we evaluate how entity-based SEO optimisation plugs into your paid-media attribution, CRO tests, and data pipelines. Read about our agency approach on the About Us page to understand our technical-first methodology.

How we price and deliver entity-based SEO optimisation

Our pricing and delivery model follows a clear path: Strategy → Build → Test → Scale → Report. That sequence ensures each dollar is aligned to measurable revenue impact, with clean attribution back to organic initiatives using GA4 and server-side tracking where appropriate.

Typical deliverables by phase

Monthly retainers are common because entity-based SEO optimisation is iterative: mapping, content creation, and testing compound value over quarters. Our approach aims to reduce CAC and increase measurable organic revenue rather than chasing traffic alone.

What’s included and what’s scoped separately

• Included: entity and intent audits, schema recommendations, prioritized content roadmap, measurement plan integration.
• Scoped separately: large-scale content production, third-party integrations, major CMS migrations.

Measuring success in US markets

We prioritise revenue-attributable metrics: organic MRR/transactions, assisted conversions, and changes to CAC when organic channels influence acquisition. All reporting ties back to the measurement plan and, where relevant, server-side tracking and GA4 to reduce platform reporting discrepancies.

Sources

• Google Developers - Structured Data overview
• Schema.org - FAQ and standard vocabularies
• Google Analytics Help - GA4 measurement in the United States