Search & AI Discovery
Give every engine the facts, so it stops guessing what your pages mean
For US small and mid-size businesses, med-spas, home services, dental and solo-legal practices, whose pages are missing schema, carrying broken or plugin-default markup, or telling search engines the wrong thing about what a page is.
Every engagement is directed by a technical specialist and reviewed before delivery.
What this is
Structured-Data and Schema Build gives every page on your site custom JSON-LD markup, written by hand and checked against Google's published rich-result requirements, then tied into one entity graph so every engine resolves your business, your people and your services to a single identity. Think of it as the machine-readable layer under your site: the code that tells a search engine exactly what a page is and how your facts connect, instead of leaving the engine to guess. You end up with pages that parse cleanly, qualify for the rich results your content is genuinely eligible for, and present one consistent set of facts everywhere you appear. This is one unit of the wider Search Surface Optimization method, the Technical Foundation and Entity work made concrete. We build schema for its real parsing value and rich-result eligibility. We never sell it as a promised lift into AI answers, because Google has confirmed no special markup is required to appear in AI Overviews.
The problem
Why this matters now
Most sites carry schema that is either absent, broken, or wrong. A theme or plugin drops a generic block on every page, so your service page claims to be an Article, your location page has no LocalBusiness markup at all, and your business name, address and phone show up three different ways in three different places. To a search engine, that reads as noise. It finds contradictory or missing signals and falls back to guessing what the page is about.
When your markup is wrong, the cost is quiet but real. You are not eligible for the rich results your content could earn, engines struggle to identify you with confidence, and the facts a model would lean on to describe your business are muddled. None of this shows up as an error you would notice from the front end. It shows up as your competitors appearing with review stars, FAQ expanders and clean knowledge panels while your listing stays plain.
There is also a trust trap. Plenty of firms bolt on schema as a checkbox, mark up content that is not visible on the page, or stuff in types the page does not support, which is exactly the pattern Google penalizes. Done wrong, schema does nothing or actively hurts you. Done right, by someone who verifies every field against current requirements and only marks up what is true and on the page, it becomes one of the most durable pieces of technical foundation your business can own.
This service fixes that layer specifically. It is not the whole program and it is not a promise about AI answers. It is the disciplined, hand-verified construction of the code that lets every engine read your site the way you intend it to be read.
How it works
The mechanism, made checkable
- 01
We inventory your page types and audit the markup already in place
Every distinct page type on your site, home, services, individual service, location, team bios, blog posts, contact, gets mapped, and we check what structured data each one carries today. Plugin defaults, broken blocks, orphaned or contradictory markup, and pages with none at all are all logged. This inventory is what the build is scoped against, so nothing gets marked up twice and nothing gets missed.
- 02
We choose the correct schema type per page, against what the page actually shows
Each page type gets the schema type that genuinely fits it: LocalBusiness or the right subtype for a location, Service for a service page, Person for a bio, Article or BlogPosting for editorial, FAQPage only where a real question-and-answer block is visible on the page. We only mark up content that is true and present on the page, because Google penalizes markup for content a user cannot see.
- 03
We write the JSON-LD by hand, field by field
We author custom JSON-LD for each page type as a script block, not a generic plugin dump. Required and recommended properties get populated with your real business data, entities get stable @id values so they can be referenced rather than duplicated, and sameAs links point to the profiles that corroborate who you are. Every field is a deliberate choice someone made, not a default.
- 04
We tie it all into one entity graph
Instead of isolated blocks, we unify the markup so your Organization, your people and your services reference each other through shared identifiers. A service page points at the organization that provides it, a bio points at the organization the person works for, and your business name, address and phone read identically everywhere. One canonical identity, expressed consistently, is what lets an engine resolve your business without ambiguity.
- 05
We verify against Google's current rich-result requirements
Every block runs through the Schema Markup Validator to confirm it is syntactically correct, then through the Rich Results Test to confirm it qualifies for the specific rich feature it targets. We resolve warnings and eligibility gaps until each page type passes cleanly, and the documentation records which rich result each page is now eligible for, and which it is not.
- 06
We deploy, confirm in production, and hand over the map
The verified markup goes live on your site and gets re-checked in production, then monitored in Google Search Console's enhancements report for errors and warnings on already-crawled pages. You receive a page-type-to-schema map so your team and any future developer know exactly what is marked up where, and how to extend it as pages are added.
What is included
What is delivered
- A full inventory of your site's page types and an audit of the structured data each one carries today, including broken, orphaned and plugin-default markup.
- Custom JSON-LD authored by hand for each page type, populated with your real business data, not a generic block repeated site-wide.
- Correct schema-type selection per page (LocalBusiness and subtypes, Service, Person, Organization, Article or BlogPosting, FAQPage where genuinely applicable), aligned to visible on-page content.
- A unified entity graph that connects your Organization, your people and your services through stable @id identifiers and sameAs links to corroborating profiles.
- Name, address and phone consistency encoded identically across every marked-up page.
- Validation of every block in the Schema Markup Validator and eligibility confirmation in Google's Rich Results Test, with warnings resolved.
- Deployment of the verified markup to your live site and re-confirmation in production.
- Monitoring setup and a first read of Google Search Console's enhancements report for structured-data errors and warnings.
- A page-type-to-schema reference map documenting what is marked up where and how to extend it.
The outcome
What it moves
- Every page type on your site carries correct, hand-verified schema, with contradictory plugin defaults and broken blocks removed.
- Your business, your people and your services resolve to one canonical entity, with name, address and phone consistent everywhere and profiles linked through sameAs, so engines can identify you without guessing.
- Documented eligibility for the specific rich results your content actually supports, verified in the Rich Results Test, with no overstated claims about features it does not qualify for.
- Cleaner parsing of your pages by every engine that reads structured data, so the facts about your business are unambiguous rather than muddled.
- A page-type-to-schema map you own, so future pages can be marked up the same way and nothing drifts back into inconsistency.
- A validated, monitored markup layer that shows no errors in Google Search Console's enhancements report once deployed.
What you get
What you get, and how it is priced
The price for Structured-Data and Schema Build follows your site: a five-page single-location practice and a multi-location site with a blog, services and staff bios need very different schema graphs. Every engagement starts by inventorying your site's page types and auditing what markup exists today. Below is exactly what the service includes, how it is delivered, and the scope levels it comes in.
| Schema Build. The one-time hand-built markup layer for your site. We inventory the page types, author custom JSON-LD for each, tie them into one entity graph, verify every block against Google's rich-result requirements, deploy, and hand over the page-type map. Best when your markup is missing, plugin-generated or inconsistent and you want it engineered correctly once. Coverage and the exact figure are set after we see your page types, and confirmed in writing before work begins. | Quoted |
| Schema Build & Maintenance. The build above, plus a standing arrangement to extend and re-verify the markup as your site grows and as Google's requirements change. New page types get marked up to the same standard, the enhancements report is watched for regressions, and eligibility is re-checked when rich-result rules move. Best for sites that publish regularly or change often. Scope and cadence are published; the figure is confirmed at onboarding. | Quoted |
You see the full deliverables and cadence first, then a price built for your business, confirmed in writing.
Straight answers
Questions about Structured-Data & Schema Build
Will schema get my business into AI answers like ChatGPT or Google AI Overviews?
No. Google has confirmed that no special markup is required to appear in AI Overviews, so we never sell schema as a promised lift into AI answers. What schema genuinely does is make your pages eligible for rich results in classic search and let every engine parse your business cleanly and unambiguously. That parsing value and rich-result eligibility are real and worth engineering for. A guaranteed AI citation is not something schema, or anything else, can promise.
Isn't this something my WordPress plugin already does for free?
A plugin drops a generic block on every page, which is often the problem rather than the solution. It commonly mislabels page types, marks up content that is not visible, leaves contradictory or duplicate blocks, and cannot build a coherent entity graph across your Organization, your people and your services. We replace that with hand-authored markup chosen per page type, verified field by field against current requirements, and tied into one consistent identity. If your existing plugin markup is already clean, that is what the audit reports, rather than a rebuild for its own sake.
You are based overseas. Who actually does the schema work, and does that matter for a US business?
Raveneye Global, operated by RavenGroup Global Tech Private Limited, bills in USD and serves US businesses. A technical specialist directs every engagement and reviews it before delivery. Schema is a published, verifiable standard, we check the markup against Google's own validators, and the eligibility we deliver is confirmed in the Rich Results Test on your live pages. What you are buying is an engineering standard and verified output you can inspect directly, not a location.
Who actually writes the schema, and how is it verified?
A specialist selects the schema type for each page against what the page actually shows, writes the JSON-LD field by field with your real data, builds the entity graph deliberately, and verifies every block in Google's validators before it ships. The proof is inspectable: you can run any page through the Rich Results Test to confirm it passes. A technical specialist directs every deliverable and reviews it before delivery.
How do I know the schema work is any good?
Because this deliverable is the most verifiable thing we sell. Schema is an open standard and Google publishes the validators, so nothing here needs to be taken on faith. A technical specialist with years of hands-on work in search and AI visibility directs every engagement and reviews it before delivery. You get a page-type-to-schema map and eligibility documentation, and you can independently confirm every block against the Schema Markup Validator and the Rich Results Test. The trust rests on output you can check for yourself.
Why is this scoped instead of a fixed price?
Because the work is set against your actual site, not a template. A single-location practice with five pages and a multi-location site with a blog, service pages and staff bios need very different schema graphs and very different amounts of markup and reconciliation. A flat price would either overcharge the simple site or under-build the complex one. We inventory your page types, show you the coverage, and agree the figure directly after that.
How do you measure that the schema actually worked?
The direct measures are eligibility and correctness, not a rankings promise. Confirming each page type passes the Schema Markup Validator and qualifies in the Rich Results Test for the specific feature it targets is part of the deliverable, along with confirming that the enhancements report in Google Search Console shows no structured-data errors on crawled pages. Whether an eligible rich result actually displays is Google's decision and can vary, so we report eligibility, which is controllable, and we never claim a rich result always shows, which is not.
What exactly do you guarantee?
The guarantee covers the work, not the outcome. We guarantee the markup is hand-built, correct, verified in Google's validators, aligned to visible content, and eligible for the rich results your pages actually support. We do not guarantee a rich result displaying on every query, a ranking change, a traffic figure, or an AI citation, because those depend on the engine's decisions, not on markup alone. Every claim we make comes with its working, and you can re-run the validators yourself.
Does this replace the rest of my SEO?
No. This is one focused unit of the wider Search Surface Optimization method, the machine-readable layer of the Technical Foundation and Entity work. Schema helps engines read your pages correctly, but it does not fix thin content, a slow site, a weak reputation or a missing off-site authority. If those need work too, the full method coordinates all of it against one number, the Machine-Readiness Score. This service is the right starting point when clean, correct markup is your specific gap.
Related
Where this connects
Search Surface Optimization
The full coordinated program this service ladders into. Schema is one unit of the Technical Foundation and Entity work run against the whole Machine-Readiness Score, alongside content, reputation and off-site authority.
ExploreSurface Intelligence Audit
The specialist-directed diagnostic that reads your surfaces and returns a ranked, sourced fix list. The natural first step if you want to confirm schema is the gap before scoping the build.
ExploreThe Raveneye Methodology
The published method behind this service, including exactly how Structured Data and Entity work fit the four pillars of the Machine-Readiness Score and why schema is engineered for parsing value, never a promised AI-answer lift.
ExploreProvenance
Sources
- Google Search Central, Intro to how structured data markup works and Structured data general guidelines (JSON-LD is the recommended format; mark up only content visible to users; structured data enables eligibility for rich results but does not guarantee they will appear), developers.google.com, accessed July 2026
- Google Search Central, Guide to optimizing for AI features on Google Search (AI features run on the core index and ranking systems; no special markup is required to appear in AI Overviews), accessed July 2026
- Google Search Central, Rich Results Test and Schema Markup Validator documentation (validate syntax, then confirm feature eligibility, then monitor the Search Console enhancements report), accessed July 2026
- Milestone, analysis of 4.5 million-plus queries reporting a 58 percent click rate on rich results versus 41 percent on standard results (vendor analysis, attributed and treated as directional, not a guarantee), as cited 2026
Begin with where the business stands.
No obligation. The deliverable is a measured starting position and the corrections that move it most.