Meta Tag Forge · FAQ publishing review

Check FAQ Structured Data Before You Publish With Meta Tag Forge

Prepare complete Q&A pairs in Meta Tag Forge, check retained FAQ data when changing page types, and match JSON-LD to your live page.

A useful FAQ starts with questions your readers actually ask and answers your page can support. Meta Tag Forge can turn those pairs into JSON-LD, a structured description that machines can read alongside your page. The copy step is quick. Checking that the output still matches the page takes a little more care.

This workflow focuses on the current tool’s Q&A input, its generated FAQPage block and the handoff to your website. It is especially useful when you reuse the workbench for several pages or change the Content type after entering questions.

Begin with answers that already belong on the page

Choose a small set of practical questions about the page’s subject. A service page might explain what the service includes, what a customer should prepare and how the process works. A product guide might explain compatibility or maintenance. Use answers you can verify, and keep conditions or exceptions that matter to the reader.

Put those questions and answers in the visible page content before treating the markup as ready to publish. The JSON-LD does not create a readable FAQ section for visitors. If you only paste the generated script into your site, you still need to add the actual questions and answers through your normal page editor.

Google’s structured-data guidelines say that markup should represent visible, relevant, up-to-date page content. They also make clear that correct markup does not guarantee a rich result. Meta Tag Forge’s Q&A count is a formatting check, not proof of search eligibility or a promise that an AI service will cite the page.

Enter one complete question-and-answer pair per line

Fill in the page’s title, description and preferred canonical URL, then choose FAQ page in Content type. This reveals the Q&A pairs field. Write each question and answer on the same line, with a pipe character between them:

Can I bring reference photos? | Yes. Bring photos that show the style and details you want to discuss.
What should I prepare before the consultation? | Write down your goals, approximate dimensions and the questions you want answered.

These are fictional consultation examples, not promises about a real business. Replace them with the exact answers that are true for your page. A narrow screen may wrap a long line visually; that is different from pressing Enter and creating another input line.

The current parser works line by line. It ignores blank lines and lines without a pipe. It uses the first pipe as the separator, trims spaces around the two parts and keeps any later pipe characters inside the answer. There is no special CSV-style quoting rule to learn here.

For predictable results, keep the question free of pipe characters and use ordinary punctuation within the answer. If an answer needs several sentences, keep them together on the same input line. A continuation line without a separator will not be included in the generated answer.

Check the text, not just the pair count

Only pairs with text on both sides of the separator count toward the checklist or appear in the generated FAQPage block. For example, What should I bring? | is excluded because the answer is empty, and | Bring reference photos. is excluded because the question is empty. These lines remain in the input so you can finish them.

A line containing only | is also excluded, as is a question and answer without the separator. The message below the field tells you how many incomplete or malformed lines were left out. Complete text still needs review: the checklist cannot tell whether an answer is accurate, current or relevant to the question.

Before copying, review every pair against the visible page:

• Question: Is it complete, understandable and relevant to this page?
• Answer: Does it answer the question directly, with important limits and conditions intact?
• Evidence: Is the answer supported by your actual service, product or documented process?
• Match: Can a reader find the same information on the page?
• Count: Does the generated list contain exactly the questions you intended, without duplicates or missing entries?

Inspect both JSON-LD blocks

Open the JSON-LD output tab. With FAQ page selected and parsed pairs present, the current generator produces two script blocks. The first describes the page as WebPage using the page details you supplied. The second uses FAQPage and contains a mainEntity list of questions.

Each question appears under name, and its answer appears under acceptedAnswer.text. Read those values in the output rather than assuming the input count tells the whole story. Confirm the page URL, title and description in the first block too, particularly if you started from another page’s draft.

The HTML <head> tab is a different output. It contains title, description, canonical and social metadata; it does not include the FAQPage block. Copying only that tab will not copy your questions into JSON-LD. The Copy button works on the currently associated output block, so check what you actually paste into your editor.

If your site or SEO plugin already creates structured data, compare the existing output before adding more. Use the appropriate field or template in your publishing system, and avoid leaving conflicting versions of the same answers in two places.

Review retained Q&A text when changing the page type

Switching Content type from FAQ page to Article / blog post hides the Q&A field and removes the FAQPage block from the output. The same rule applies to Product page, How-to guide and Local business. Your entered text is kept in the form, so switching back to FAQ page restores it without making you retype it.

The tool generates FAQPage only while FAQ page is selected and at least one complete pair is present. Keeping text during a type change protects your draft; it does not save a project or establish that the answers belong on a different page.

1. Choose FAQ page again so you can inspect the retained text.
2. Update or remove any pairs that do not belong on the destination page. Finish incomplete lines you want to include.
3. Return to the correct Content type.
4. Read the JSON-LD tab again and confirm that only the intended blocks remain.

Do this whenever you reuse the form for another URL, especially before switching back to FAQ page. Changing the title or canonical URL does not clear the retained questions or check their relevance.

Make the publishing handoff easy to check

Keep a working note containing the destination URL, visible FAQ copy, selected page type and generated JSON-LD. Meta Tag Forge does not provide a saved-project library or publish the output to your website. Save the reviewed version somewhere you can recover before leaving the workbench.

Validate the finished structured data in the context of your actual page. A JSON syntax check can catch malformed output, but it cannot confirm that a business promise is true or that a search feature supports your page. Review the current requirements for the feature you are targeting as a separate step.

After deployment, open the public page, read the visible FAQ and inspect its delivered structured data. Look for old answers, duplicate blocks and a canonical URL copied from the wrong page. When an answer changes later, update both the visible copy and the matching structured data in the same publishing change.

The final check is simple: every generated question has a complete answer, every answer belongs to the destination page, and the live markup matches what readers can see.