Ecommerce stores
Where Product, Offer and Review schema directly drive rich result eligibility and click-through rate from search.
AI Search Visibility
Schema Markup & Structured Data
JSON-LD schema for organisation, services, FAQ, products and articles.
The short answer
Schema markup is structured data added to web pages in JSON-LD format that helps search engines and large language models understand the content semantically. Properly deployed schema improves rich result eligibility in Google, citation likelihood in AI engines, and accuracy of how brands are described in knowledge panels and answer boxes. Clickate audits, deploys and maintains schema for sites across ecommerce, B2B SaaS, healthcare, education and publishing in Nigeria.
The schema mistakes we see most often
The most common error is schema marking up content that does not appear on the page. A product page that claims aggregateRating with three hundred reviews shown nowhere on the actual page will be flagged by Google. Schema must be honest. The second most common error is schema duplication - multiple Organization blocks across different pages with conflicting information, confusing engines about which is canonical. The third is JSON-LD syntax errors that silently break the entire block; without validation, no one notices, and the page operates without schema at all despite the markup being present in the source.
Why schema work compounds quietly
Schema is invisible to users but persistent. Once deployed, it works on every crawl, every AI engine query, every knowledge graph update - for as long as it stays accurate. The work pays back continuously without further intervention beyond maintenance. For sites with thousands of pages the asset-to-effort ratio is excellent: a one-time deployment plus light quarterly maintenance produces years of ongoing benefit.
Methodology
How we actually do it
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JSON-LD only
We deploy schema in JSON-LD format because it is cleanly separated from HTML, easier to maintain, and preferred by Google. Microdata and RDFa work but are harder to debug and update.
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Validate before going live
Every schema block we ship has been tested in Google Rich Results Test and the Schema.org validator. Invalid schema risks being treated as spam — we do not gamble.
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Schema you can actually defend
We do not mark up content that does not exist on the page. Schema must match what the user sees, or Google will penalise the markup as misleading.
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Maintain after deployment
Schema is not set-and-forget. Schema.org evolves, Google's rich result eligibility changes, and your content changes. We maintain the deployment quarterly so it stays aligned.
Fit check
Who this is for - and who it isn't
Publishers and resource sites
Where Article, Author and Breadcrumb schema lift citation and surfacing in news and AI engine answers.
B2B SaaS
Where Service and FAQ schema help engines understand and recommend your product to relevant buyers.
Local service businesses
Where LocalBusiness schema with hours, location, services and reviews is the foundation of local search visibility.
Outcomes
What you actually get back
Rich result eligibility
Properly marked-up product pages show price, availability and ratings in Google search results — meaningfully lifting click-through rate.
Higher AI citation rate
Engines cite well-structured pages more often than unstructured ones with similar content quality.
Cleaner knowledge panel
Organization schema feeds Google's knowledge panel for your brand — making it more accurate, more complete and more trusted.
Related services
Often paired with this
AI Visibility Audit
See exactly where your brand appears - or doesn't - across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews.
Read more →Generative Engine Optimization (GEO)
Citation-ready content, entity building and the digital PR that AI engines trust.
Read more →
FAQ
Frequently asked questions
What is the difference between SEO and GEO?
SEO ranks pages in search engine results. GEO - Generative Engine Optimization - makes your brand the entity that AI engines (ChatGPT, Gemini, Perplexity, Google AI Overviews) cite when answering buyer questions. GEO requires schema, entity work, llms.txt, and digital PR - not just content.
How long does the AI Visibility Sprint take?
Thirty days, fixed price. You receive a citation audit across five AI engines, schema and llms.txt implementation, ten citation-ready content fixes and a before/after citation report.
Can I track AI citations monthly?
Yes - we maintain a 20–30 prompt tracking set for each retained client and report monthly on engine-by-engine citation outcomes.
Why are most Nigerian brands invisible in ChatGPT?
Three reasons: (1) no entity record on Wikidata or .ng publications, (2) no schema markup or llms.txt on the site, (3) thin content that doesn't answer the prompts AI engines paraphrase. We fix all three.