Schema markup is a vital tool for improving local Google and AI SEO by helping search engines understand a website’s content more effectively. Many businesses don’t use it correctly, which can limit their visibility in local search results.

If you are doing schema markup yourself, identifying and correcting common schema markup mistakes can enhance your site’s search performance and drive more relevant traffic. Understanding these errors is essential for anyone looking to optimize their local marketing strategy.

Managing schema markup is a technical task. Here are seven common schema mistakes we should try to avoid:

1) Incorrect use of LocalBusiness schema type

Many local SEO issues arise from using the wrong type of LocalBusiness schema. Selecting a generic or unrelated business type weakens the relevance to search engines.

For example, using the generic “LocalBusiness” instead of a more specific type such as “Restaurant” or “Dentist” misses the chance to convey precise information. Specific schema types provide better context for the business.

Additionally, some marketers incorrectly nest the LocalBusiness schema within other, unrelated schemas. This can confuse search engines and reduce the effectiveness of the markup.

Proper use requires matching the schema type to the exact nature of the business. It also involves validating the markup with testing tools to confirm accuracy and completeness.

2) Missing required address properties

Many local SEO schema markup errors stem from omitting essential address details. Search engines rely on specific address properties such as streetAddress, addressLocality, addressRegion, and postalCode to accurately identify a business location.

If any of these required fields are missing, the schema may be considered incomplete or invalid. This reduces the chance that search engines will display rich results or correctly associate the business with local queries.

It is important to include all mandatory address properties within the schema’s PostalAddress type. Correct formatting and consistent data help improve local search visibility and user trust.

Let’s face it. The AI search bots are very logical and extremely fast. They can afford to be picky, but rather than guess the proper data, they will skip it.

You should verify your markup against validation tools to ensure no required address elements are absent. Keeping this data accurate supports stronger local AI SEO performance.

3) Using outdated schema vocabulary

Many businesses continue using schema terms that no longer align with the latest standards. Search engines may not recognize outdated vocabulary, which limits the effectiveness of the markup.

Schema.org regularly updates its vocabulary to improve accuracy and coverage. Ignoring these updates can lead to missed opportunities in signaling key local business information.

If Guild AEO manages your schema, we will perform a monthly audit, do the testing and corrections, and provide a schema markup report. This way, you will always be up to date.

It is essential to review schema markup periodically and replace obsolete terms with current ones. Staying updated helps maintain compatibility with search engine algorithms.

For example, certain property names or types once common might have been replaced or restructured. Using the latest schema ensures clear communication of business details such as address, hours, and services.

Failure to update schema vocabulary can result in incomplete or ignored data. This reduces the markup’s impact on search visibility and local SEO performance.

You can ignore the worry about mistakes.
Guild AEO is happy to offer complete done-for-you services.
Click here to order any of our packages.

4) Not specifying geo-coordinates

Many local website schema implementations omit geo-coordinates such as latitude and longitude. This data helps search engines pinpoint the exact location of a business.

Without geo-coordinates, search engines might rely only on the address, which could lead to inconsistencies in local search results. Precise geo-data improves map accuracy and relevance in location-based queries.

Adding “geo” properties in the schema markup ensures that the business location is clearly communicated. This can enhance visibility in map features.

Failure to include geo-coordinates can limit the effectiveness of local AI SEO efforts. It may cause missed opportunities for appearing in results when users search near the business or ask for directions.

5) Errors in NAP (Name, Address, Phone) consistency

Errors in NAP consistency occur when a business’s name, address, or phone number varies across online listings in various directories. These inconsistencies can confuse search engines, affecting local search rankings and reducing the business’s credibility.

Even minor differences, like abbreviations or formatting changes, can cause issues. For example, using “St.” in one listing and “Street” in another can create inconsistency.

It is essential to maintain identical NAP information on the website, Google Business Profile, directories, and social media profiles. This uniformity helps search engines verify the business’s location and contact details accurately.

Regular audits of NAP information can catch inconsistencies early. Tools and services exist to monitor and correct NAP data across multiple platforms efficiently. Guild AEO can manage this for you if desired.

Inconsistent NAP data can also frustrate potential customers. They may receive incorrect contact details or location information, harming the overall user experience.

6) Embedding schema incorrectly in HTML

Many local businesses struggle with placing schema markup correctly within their HTML. The schema must be embedded in the right part of the page code to be properly read by search engines. Placing it outside the <head> or <body> tags can cause the markup to be ignored.

Using the wrong syntax for embedding, such as mixing Microdata and JSON-LD incorrectly, can also lead to errors. JSON-LD is recommended because it separates schema from content, but even then, it needs to be enclosed in a proper <script type=”application/ld+json”> tag.

Failing to close tags or using invalid characters within schema code can break the markup. Even a small mistake, like missing a bracket, can prevent search engines from processing it. Testing the embedded schema with tools like Google’s Rich Results Test helps identify and fix these issues.

7) Omitting the openingHours property

Many local businesses neglect to include the openingHours property in their schema markup. This omission can lead to incomplete information being shown in search results.

The openingHours property specifies the days and times a business is open. Search engines use this data to display accurate hours directly in local listings and knowledge panels.

Without openingHours, search engines may display generic or outdated hours. This can confuse potential customers and reduce trust in the business’s online presence.

Including this property improves the chances of showing precise business hours, which helps users plan their visits. It also supports better local AI SEO performance by providing clear, structured information.

 You can ignore the worry about mistakes.
Guild AEO is happy to offer complete done-for-you services.
Click here to order any of our packages.