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Smart markup for search and AI (Schema.org)

Smart markup for search and AI (Schema.org) for Blog app

Schema.org markup: posts in search and AI

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Installs
< 10
Developer
KakTak.Net
Support
wa@kaktak.net
License
Webasyst License
Version
1.0.2
Updated
September 15, 2026
Additional licenses
No discount
Minimal requirements
Smart markup for search and AI (Schema.org)

A regular blog brings customers from search and AI - if machines can understand your articles. Readers increasingly ask an AI assistant "how to choose" or "what is better", and the AI builds its answer from articles it can trust. Schema.org markup turns every post into a machine-readable publication: author, date, section, tags. The plugin adds it for you - no code, no theme edits.

68% of Google searches now end without a click (SparkToro, 2026) - being the cited source is the new visibility. Visitors coming from AI answers convert 4-9x better (Digital Applied, 2026). A rich snippet lifts click-through by 25-50% (SEO industry data). The JSON-LD format this plugin uses is officially recommended by Google.

What you get

Three benefits - three reasons each

Articles stand out in search

  • A post shows up as a publication: date, author, breadcrumbs - not a bare blue link.
  • Rich snippets lift click-through by 25-50% (SEO industry data).
  • Freshness is machine-readable: publish and update dates are passed explicitly - and fresh content wins citations (Ahrefs, 2026).

AI cites your articles

  • AI cites articles and listicles first: 43.8% of ChatGPT citations are "best / how to choose" content (Ahrefs, 1.4M prompts analyzed, 2026).
  • 77% of consumers have already used AI while shopping (Search Engine Land, 2026) - answers are built from readable sources.
  • An author with their own page in the markup is an E-E-A-T signal AI uses when picking sources.

Runs by itself

  • You write nothing: the markup is built from your posts, settings and blog data.
  • Plays well with the official Categories and Tags plugins: category, tags and author are attached to each post automatically.
  • One consistent document with no duplicates - passes validator.schema.org and Google Rich Results.
How search and AI decide what to show

The same article - two different endings

When a search engine or an AI assistant prepares an answer, it looks at your article. The difference is what exactly it sees there - and that decides whose material gets cited and whose link gets clicked.

Without markup

  1. The system sees raw code: menus, banners, scripts - and has to guess where the article is, who wrote it and what it is about.
  2. In search results - a plain blue link with no date, author or breadcrumbs.
  3. The AI is not confident in the data and leaves your article out of the answer.

→ the reader lands on someone else's blog

With markup

  1. The system reads a ready-made article card: headline, author, dates, section, tags - no guessing.
  2. In search results - a publication with a date, an author and neat breadcrumbs.
  3. The assistant cites your facts and links to your article.

→ the reader and the lead come to you

AI search and chat assistants

People ask an AI - your blog gets the reader and the lead

The 2026 scenario: a person gets the answer from an AI and goes to the website for details and a purchase. The assistant builds its answer from live search: it picks articles it trusts and quotes their facts. The title, the author and the gist of a post are far easier and safer for AI search to take from structured markup than to parse out of raw HTML.

  • ChatGPTChatGPT
  • GeminiGemini
  • ClaudeClaude
  • PerplexityPerplexity
  • DeepSeekDeepSeek
  • QwenQwen
  • AliceAlice (Yandex)
What the plugin marks up automatically

You write posts - the plugin describes them for machines

  • Posts - headline, author, publish and update dates, image, summary: a complete machine card for every publication.
  • Author - a card linked to the author's own page in the blog: an expertise signal for search and AI.
  • Breadcrumbs - Home → Blog → Category → Post, with working links.
  • Organization - name, logo, contacts: your company's passport for search and AI.
  • Blog stream, category and tag pages - marked up as collections listing fresh posts.

Plays well with the official Categories and Tags plugins. When they are installed, the plugin attaches the post's categories (section + breadcrumbs), tags (keywords) and marks up category and tag pages by itself. Not installed - those fields are simply omitted, nothing breaks. Any combination works.

Everything is assembled into one consistent document with no duplicates and validated against validator.schema.org and Google Rich Results. The built-in checkup shows what is published and warns about duplicate markup coming from your theme.

Better together

llms.txt guides AI through the blog, markup describes every post

These are parts of one system that prepares your blog for AI search. llms.txt is the map: it shows AI where your articles and topics are (where to go). JSON-LD markup is the details of every post: author, dates, structure (what to show). IndexNow instantly tells search engines about new and updated posts. Together they give AI the full map, exact facts and freshness.

llms.txt - where to go JSON-LD - what this post is IndexNow - tell them now rich snippet + AI citation
llms.txt plugin icon llms.txtA blog map for AI assistants → IndexNow plugin icon IndexNowInstant reindexing → Social preview plugin icon Social preview (Open Graph)A beautiful post card in chats →

Four plugins of the KakTak.Net line - the map, the details, the freshness and the preview - prepare your blog for AI search together. One style, one support, one ecosystem.

Base and premium editions

Base - one domain, premium - all domains

Base 1 domain

  • Your blog's main domain.
  • Full markup: posts, author, breadcrumbs, organization, categories and tags.
  • Built-in duplicate-markup checkup.

Premium multi-domain

  • All blog settlements on different domains - at once, automatically.
  • Separate data for every domain.
  • For those who run several sites from one panel.
How it works

Quietly, in the background, without you

  • Turn it on - and the plugin adds correct markup to blog pages by itself. No code, no theme edits.
  • Data is always current: author, dates, categories and tags come from the posts themselves.
  • No speed impact: the markup lives in the service part of the page and is cached.
  • The built-in checkup shows what is published and warns if your theme outputs its own markup (duplicates hurt).

Honest by design. Structured data is not a direct ranking boost - Google says so explicitly. But it is what makes your posts eligible for rich snippets and lets search engines and AI cite your blog with confidence. Without it, rich results and AI recommendations simply do not appear. The strongest effect comes together with the llms.txt map and IndexNow.

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