Schema markup, implemented and proven.

Yes — agencies are the primary path. Schema audits, hand-written JSON-LD, validation, and client-ready documentation are delivered under your agency's brand, or unbranded. I don't contact your client unless you ask, and there is no public portal that could surface the relationship. NDAs are welcome, and non-solicitation and non-poaching protections can be included in the service agreement.

Often, yes — but a diagnostic is the right way to find out. Existing markup is sometimes complete and clean. More often it has missing required fields, deprecated types, duplicate blocks across plugins and apps, or content that contradicts the visible page.

The Free E.V.I.L. Scan is an automated, homepage-only look at the structured data search systems can currently read. It performs a limited Expose step and does not include a call, full-site diagnosis, implementation plan, or ranking guarantee. A Schema Health Review goes deeper, across five pages, with a human checking every finding against what the page actually says.

Schema markup is not a direct ranking factor. What it does is make your content easier for search engines and AI systems to interpret — which can support rich-result eligibility, local pack relevance, and entity recognition. No ranking guarantees, here or anywhere else — the value is in clean, validated implementation your other SEO work can build on.

Yes — that's one of the most common starting points. Plugins like Yoast, RankMath, and schema apps often produce overlapping or conflicting blocks. The audit documents every conflict, and cleanup is scoped from there.

Yes — it's one of the most common jobs there is. Both write Product JSON-LD, Google reads both, and instead of merging them it flags the conflict. The fix is deciding which source owns the markup, suppressing the other cleanly, and validating that only one valid block remains per page type.

Here's the full breakdown of why it happens.

Typical engagements run 7–14 days from kickoff to delivery. Larger sites or multi-location businesses can run longer; the written scope after the audit will give you an exact timeline.

JSON-LD sits in a script tag in the page head and does not affect layout, performance, or visible content. If you'd prefer, code can be delivered for your developer to deploy on a staging environment first — that's the standard path for production sites.

AI tools can produce schema that looks correct but references the wrong types, uses deprecated properties, or contradicts what's on the visible page. The problem isn't writing JSON — it's knowing which types apply to your business, which fields are required vs. recommended, and whether the output actually validates. That's the gap this service fills.

Implementation runs in three named tiers — The Foothold (starting at $1,500), The Territory Takeover (starting at $3,500), and The Empire (custom scope, priced to the architecture). Every engagement lands on a specific number, confirmed in a written scope before any work begins — you know the exact price, timeline, and deliverables before you commit.

Fixed-price options: the Schema Health Review is $497, a Live Schema Walkthrough is $150, and Schema Packs are $147. The Fit Call and the automated Free E.V.I.L. Scan are free.