Schema and entity optimization. Give search engines one clear business identity.
For companies whose website, profiles and search results tell different stories. Suede AI aligns the business facts, connects the company, people and services in structured data, and ships markup that matches the visible page. Your team gets a maintainable record of what changed and where.
What your team receives
- One fact setApproved business names, public URLs, services and identity links.
- Connected markupThe organization, people, pages and services linked consistently.
- Source consistencyNamed directory and profile corrections with their status recorded.
- Validation evidenceChecks against the visible content and published markup.
Scoped around your priority pages. Delivered in your CMS or codebase.
Connect the business, its services and its sources
Schema markup is machine-readable information inside a page. Entity work aligns the real-world business that the page describes: its name, official website, people, services and public profiles. The two work together when they describe the same facts.
Organization and founder identity
Establish the approved public business name and official URLs. Identify the company and people separately, connect their roles, and use identity links only for profiles that belong to them. Google’s Organization markup guidance describes how business details help it understand and distinguish an organization.
Service and page relationships
Map each service to the page that explains it. Connect the service to its provider, and connect the page to the website. Give each entity a consistent identifier so templates refer to the same organization instead of creating contradictory copies. Breadcrumb markup follows the navigation a visitor can actually see.
Visible content and structured data
Choose schema types for the content that is present. Align names, descriptions, URLs and supported properties with that content. Inspect existing CMS or plugin output before adding another block, then reconcile duplicated or conflicting markup. Google’s structured data introduction explains why markup should describe the visible page.
Directory and profile consistency
Compare the website’s facts with the named business, founder, marketplace and directory records in scope. Correct records you control and prepare supported correction requests for other publishers. Each item carries its source URL and a status so your team can distinguish a published change from a pending request.
What the implementation leaves behind
- A business fact sheet. The approved names, URLs, service descriptions and public identity links, with the source for each material fact.
- A page and entity map. Which pages own which services, the schema types on each template and how the entities connect.
- Shipped markup. Pull requests or CMS edits, plus the changes to visible copy needed to keep both versions in agreement.
- A validation record. Parsed JSON-LD, resolved identifiers and URLs, comparison with the rendered content, and checks on the live page after release.
- A correction register. The external profiles in scope, the issue, the proposed correction and whether it is live or awaiting the publisher.
Example: if an old directory name disagrees with the current website, we verify the identity first, update the records under your control, and record the request for the external listing. The website’s organization markup and profile links then use that same approved identity.
Validate the page people and crawlers actually receive
A valid JSON file is one check. We also confirm the markup is present at the intended URL, that its linked entities are defined, and that the page says what the markup says. For Google-supported rich result types, the relevant eligibility checks are included; general Service markup describes the offer.
The handover records the before-and-after markup and the URLs checked. Later edits to service names, public contact details or official profiles can then be applied consistently across the site.
Schema and record consistency are measured as implementation outcomes. When AI visibility is part of the brief, full-stack GEO adds separate dated answer captures, citation sources and repeat measurements. Digital PR for AI search covers source development and coverage alongside record repair.
Bring the records that should describe your business
Start with your website, priority service pages and the public profiles you want aligned. Tell us which descriptions are outdated and which records your team controls. We agree the facts and the pages in scope before implementation.
If discovery or indexing is the immediate issue, technical SEO covers crawlability, canonicals and internal links. The broader GEO implementation service combines those repairs with AI discovery files and page structure.
Questions about schema and entity optimization
What is the difference between schema markup and entity optimization?
Schema markup describes the content of a page in a machine-readable format. Entity optimization aligns the business, people, services and public profiles that the page describes. Suede AI connects both around an approved set of facts.
Can you work with our existing schema plugin?
Yes. We inspect the markup already produced by your CMS or plugin, identify conflicts or missing relationships, and implement the agreed corrections in the appropriate template or configuration.
How do you handle third-party profile corrections?
Each record gets a source URL, a supported correction and a status. We update records within the access you grant and prepare correction requests where another publisher controls the page. The handover distinguishes live changes from pending requests.
Turn the gap into a clear scope.
Share your domain and the pages that matter to your business. The free teardown gives you a starting point for the work.