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    Statistics Hub Page Builder: Earn Backlinks & AI Citations

    1

    Build a sourced "[Topic] Statistics (2026)" page that earns backlinks and AI citations: script-checked stats ledger (0-100), cite-this boxes, FAQ + Dataset JSON-LD, CSV.

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    Statistics Hub Page Builder: Earn Backlinks & AI Citations

    Statistics Hub Page Builder: Earn Backlinks & AI Citations

    Example session with this skill installed

    Build a statistics hub page on AI agent skill marketplaces and Instagram/TikTok/LinkedIn scrapers for cygnixlabs.com. Use only public data you can verify today.

    • Read your context and instructions
    • Compiled the statistics hub page
    • Generated the data export

    Collected 23 stats from the public Apify Store API and Agensi listing pages (accessed 2026-10-22) into stats.csv.

    $ python3 scripts/stats_ledger.py stats.csv --check-urls --report ledger-report.md
    Stats: 23. Categories: 5. Primary/first-party: 23/23.
    Score: 100/100 | errors 0 | warnings 0 | URL check: on

    $ python3 scripts/build_hub.py page.json stats.csv --out dist/
    OK: 23 stats, 5 categories, 5 FAQ -> dist/index.html, stats.md, stats.csv, embed-snippets.html

    Key takeaways on the page

    • Apify's Instagram Scraper led with 56,100 users in 30 days; TikTok Scraper had 30,159.
    • Run success rates for the top scrapers were 98.6% to 99.5% over 30 days.
    • Agensi listed 13,207 skill pages; 41 of 56 skills with install counts on its top lists were free.
    • The most-installed paid Agensi skill shown, Prompt Dataset Builder ($9.9), had 162 installs.

    Every stat card carries a copy-ready citation, e.g.:
    "Instagram Scraper (apify/instagram-scraper) had 56,100 users in the 30 days before 22 October 2026. Source: Apify Store API (2026-10-22), via Cygnix Labs ..."

    Bad input is caught: a row citing an aggregator from 2019 with a value that isn't in the text and an accessed date in the future scored 0/100 with 5 errors and 5 warnings, and the script exited 1.

    statistics-hub-sample

    stats.csv

    CSV · data export

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Unlike stats-roundup prompts that make up numbers, this skill checks every statistic against its source with a deterministic script, scores the ledger 0-100, and renders an upload-ready statistics hub page built to earn backlinks and AI citations. Real 23-stat example included.

    WHY STATISTICS PAGES Journalists, bloggers, content teams and AI answer engines (ChatGPT, Perplexity, Google AI Overviews) all need numbers to back a claim, and they link to wherever the number came from. A "[Topic] Statistics (2026)" page is one of the most reliable linkbait formats, but only if every number is real, sourced and fresh.

    WHAT YOU GET

    • SKILL.md workflow: research, validate, outline, render, promote, refresh
    • stats_ledger.py: flags missing sources, placeholder or broken URLs (optional live check), duplicate stats, stats older than 24 months, aggregator links that should point to the original study, and numbers that don't match the stat text. Exit code 1 on any error, so the agent can't skip it.
    • build_hub.py: self-contained HTML page with key takeaways, table of contents, stat cards, a "Cite this" box under every stat, sources table, FAQ, and Article + FAQPage + Dataset JSON-LD. Also writes stats.md (clean markdown for llms.txt and AI crawlers), a downloadable stats.csv and embed snippets.
    • Templates: stats CSV, page.json, FAQ patterns that match how people ask AI assistants, and an outreach playbook (search operators to find pages citing outdated numbers, a 90-word pitch, a refresh cadence).
    • Real example: "AI Agent Skill & Social Scraper Marketplace Statistics (October 2026)", 23 stats pulled from the public Apify Store API and Agensi listings on 22 Oct 2026. Ledger score 100/100 with live URL check, 5 categories, 5 FAQ.

    RULES THE SKILL ENFORCES No source, no stat. Quote numbers exactly with year and scope. Link the original, not an aggregator. First-party data is labelled with how it was collected.

    REQUIREMENTS Python 3 (standard library only). No API keys, no paid tools. Works with Claude Code, Cursor, Codex and any agent that reads SKILL.md.

    PAIRS WITH (Cygnix Labs on Agensi)

    • Local AI Visibility Audit: does ChatGPT recommend you?
    • Catch fake links before you publish (LLM hallucination check)
    • Find orphan pages and fix your internal linking

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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