SCHEMA MARKUP SERVICES AND STRUCTURED DATA FOR GOOGLE AND AI SEARCH

An inventory of the markup you already have, repairs to whatever is wrong, the schema types your pages need, validation and upkeep.

We start there because most sites already carry structured data from a theme, a plugin or an app, and nobody has read it. Our team lists each block, compares it with the visible page and marks what is false, duplicated or out of date.

Then we build by template, not page by page. A store gets Product markup on product templates, Organization on the homepage, BreadcrumbList everywhere and Article on guides. A business with real locations gets LocalBusiness on each location page, and every value comes from your own data.

The upkeep is where we spend the most care. Markup that was accurate on launch day can be wrong after your next price change, and in our experience that is how most structured data errors begin. So we retest after every template or app change.

Schema markup is a block of code, usually JSON-LD, that labels the facts on your page in a vocabulary search engines share. Structured data is the wider term, and in practice people use the two for the same thing.

Let’s say your product page shows a price, a brand and a stock status. A reader understands those at a glance, while a crawler has to work out what they mean. Product JSON-LD removes the guess by stating each one outright.

Google recommends JSON-LD among the three formats it supports, and we write in it for that reason. It sits apart from your page design, so our team can change the labels without touching your layout.

Where a page qualifies, Google can show a rich result beside your link. That is a better listing, not a higher ranking. The rule we hold to is that the code describes what the page already says, and never adds a claim of its own.

It helps indirectly, and we will not sell it as more than that.

Google’s bar for its AI features is simple: a page has to be indexed and eligible for a snippet, and nothing more is technically required. Specific optimization is not needed beyond the fundamentals, and one it names is structured data that matches the visible text.

So schema removes doubt about your facts and keeps your pages eligible for rich results. It does not get you named in ChatGPT, and no tag makes a weak page quotable. Neither does llms.txt, which no major AI company has confirmed using and which crawler logs show almost nobody reads.

Readable pages, early answers and other websites mentioning you move AI answers, and our AI SEO program runs all three. Our guarantee sits on that program, not on markup: a 30 to 50% rise in AI search impressions within 90 days, measured in your own Search Console, with mentions across ChatGPT, Gemini and Perplexity tracked beside it. As Akshit Bhasin says of any larger promise, “no magic wand, and we don’t want quarrels.”

Product schema markup describes each item to Google: name, brand, GTIN, price, currency, availability, images and reviews. If you sell online, yes, your store needs it, and it sits first on our list.

Google’s documentation separates two features. Merchant listings are for pages where a customer can buy from you, and product snippets are for product pages where they cannot. It also says the required merchant listing properties can make your pages eligible for product snippets too, so we build to those requirements.

Our team writes the markup into your product template so each value comes from your product data, removes any second copy an app has added, and compares the result with your Merchant Center feed. The price, stock and GTIN have to agree across all three.

Then we test your top sellers first, by revenue, because those are the pages where a stale price costs you the most money.

AB Media Co, and here is why.

We do not treat markup as a plugin setting. We treat it as a statement of fact that has to survive your next price change. Every value is checked against the live page, every template is validated before release, and every result is one you can repeat with Google’s free tools.

We also bring more than markup. AB Media Co was founded by Akshit Bhasin more than ten years ago. Over that time our team has worked with 100+ brands, generated ₹3,300 Cr+ in revenue for clients and managed ₹100 Cr+ in ad spend. So the person deciding what gets marked up first has seen what a page like yours earns.

We run schema inside technical SEO, beside crawl access, rendering and indexing, because a perfect label on a page Google cannot read does nothing. A senior person sits on your account.

Ask for the free mini audit and read our findings on your own site before you decide.

Not for the rich result, because Google no longer shows it. Its documentation log says the FAQ rich result stopped appearing in Search from 7 May 2026.

You do not have to rip out what you have. When Google first narrowed this feature in 2023, it said there was no need to remove the markup and that structured data which goes unused causes no problems for Search. So on an existing site we leave accurate FAQ markup alone and remove only what is false, such as questions that appear nowhere on the page.

On new work, we add FAQPage markup where the questions and answers are visible, and we spend our time on the answers. A short definition at the foot of a page gets nobody quoted, so ours open with the direct answer and then explain how we handle the problem behind the question.

The tag only labels that work. The answer has to earn its place.

Organization schema for the brand, and LocalBusiness markup for each location you actually run, matched exactly to your Google Business Profile.

Google says local results depend on relevance, distance and prominence. Markup does not change your distance from a customer. What it does is state your name, address, phone and hours in one clear form, and we make sure those details read the same on the page, in the markup, on the profile and in your directory listings.

Each location gets its own page with its own LocalBusiness block, phone number and hours, because one block covering three locations blurs all three. Organization schema then ties them to your brand, with your logo and official profiles in sameAs.

We refuse to mark up an address where you do not operate. It breaks Google’s guidelines and puts your real listing at risk. When the website and the profile disagree, our team fixes the profile first and writes the markup to match.

We fix what the theme or plugin already outputs, add only what is missing, and write it into the template rather than into single pages.

The code is the easy part. Duplication is where it goes wrong. Many Shopify themes already output Product markup and an app may add a second copy, which gives Google two blocks that can disagree on price.

On Shopify, our team reads what your theme produces, removes the duplicate and adds fields such as GTIN and brand through your Liquid templates, working on a duplicate of your theme until the tests pass.

On WordPress, a plugin such as Yoast or Rank Math often writes Organization, Article and breadcrumb markup, and WooCommerce adds Product. We configure those properly and add custom JSON-LD only where they fall short, such as a missing GTIN.

Then we test one page from every template before rolling the change out. For a simple page, our free schema markup generator is a good place to start on your own.

We validate on the day a change goes live, with three tools, and accurate schema will not hurt you. Misleading schema can cost you your rich results.

The Rich Results Test shows which rich results a page is eligible for. The Schema Markup Validator checks your JSON-LD against the full schema.org vocabulary. Search Console’s enhancement reports then show errors across the site as Google recrawls it, which usually takes weeks.

Then comes our own check. A validator confirms that your price is a valid price, not that it is the right one, so we compare values with the visible page by hand on your highest revenue templates.

What can go wrong? Google’s guidelines bar marking up content readers cannot see and misleading content such as fake reviews. A manual action means the page loses eligibility for rich results, and according to Google it does not affect how the page ranks. So we open the Manual Actions report on day one, and we look first for review stars with no reviews, stale prices, duplicate Product blocks and locations that do not exist.

It starts free, with a mini audit, and the cost after that depends on how many templates you have and how your platform writes its markup.

The complete audit runs from ₹30,000 to ₹80,000 by catalog and website size, and that fee is adjusted against your first month with us. It covers your structured data along with crawl, rendering, indexing and content, and it ends in a ranked plan.

Why does template count matter more than page count? Because we build in templates. A store with thousands of products may have only a handful of them. What takes the time is what the theme and apps already output, how many values have to come from your product data, and how often those values change.

At AB Media Co, schema usually runs inside our AI SEO program, beside crawl fixes and content, and you can ask for it on its own when markup is all you need. What we build stays yours.