Tools & Setup

What is schema markup and why does it matter for SEO?

Quick Answer

Schema markup is structured data code (usually JSON-LD) added to your web pages that helps search engines understand your content's meaning, not just its text. It enables rich results — FAQ dropdowns, how-to steps, review stars, and article metadata in search listings. Pages with schema markup are also significantly easier for AI systems to parse and cite.

01

Schema Types That Matter for Content Marketing

FAQPage — makes your Q&A eligible for expandable rich results (2-3x larger listing). HowTo — shows numbered steps directly in search results. Article — tells Google about author, publish date, and organization. Organization — establishes your brand entity with sameAs links to social profiles. BreadcrumbList — shows your site hierarchy in search results. Each type gives Google (and AI systems) clearer signals about your content.

02

The SEO and GEO Impact

For SEO: pages with FAQ schema see 20-30% higher click-through rates. Rich results make your listing 2-3x larger, pushing competitors further down the page. For GEO: schema makes your content machine-readable — AI systems can extract Q&A pairs, definitions, and structured data directly. It's the bridge between human-readable content and AI-parseable data.

Schema markup won't directly improve your rankings, but it dramatically improves how your pages appear in search results and how easily AI systems can cite your content.

03

How to Add Schema Markup

Add a script tag with type 'application/ld+json' in your page's head section. Use Google's Structured Data Testing Tool to validate. Start with FAQPage schema — it's the highest-impact type for content marketing. Add Article schema with author information for E-E-A-T signals. If you use a content engine like Averi, FAQ schema is generated automatically for every piece that includes a FAQ section.

By the numbers

Results you can measure.

6,000%

Organic traffic growth

in 10 months

2 hrs

Per week to run

not 20 hours

$99

Per month

replaces $5K+ agencies

10 min

Setup time

paste your URL, done

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Estimated savings with Averi

You're currently spending $1,870/mo on content that could cost $99. That's $21,252 in unnecessary spend per year.

$1,771

saved per month vs. your current spend

ChatGPT / Claude$20/mo
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Your time (at $75/hr)$1,650/mo
Your true current cost$1,870/mo
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14 hrs

Time saved/mo

5

Pieces/mo with Averi

$21,252

Annual savings

Same output. $1,771/mo less.

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FAQ

Questions? Answers.

Schema, built into every piece.

Averi generates FAQ schema, article markup, and structured data automatically — no coding or plugins required.

See How Averi Handles This