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Tutorials · 7 walkthroughs · Zero context assumed

Tutorials. Crypto SEO, step by step.

Seven walkthroughs covering the highest-impact crypto SEO workflows. Each one assumes nothing and walks the full sequence end to end. Code samples included, verification steps included, dead ends documented. From running your first audit to integrating webhooks into your CI pipeline.

// How tutorials differ from playbooks and guides

Three flavors of how-to content. Use the right one.

Tutorials are the entry point. They assume you have never used Crawlux before. They walk every click, every command, every output. Each tutorial takes 10 to 30 minutes including the time to run any audits or deploy any fixes. Playbooks are the next layer up. They assume you know what is broken and just want the fix. Faster, denser, less hand-holding. Guides are the reference layer. They explain the methodology and the why, not the how. Read in order: tutorial first, playbook when you need the fix, guide when you want the theory.

Tutorial · 01

• 12 min

Run your first audit

Zero-context walkthrough from URL entry through scoring to the prioritized fix list. Read the JSON output, understand the 23 analyzer codes, identify the top 3 findings to ship first.

Start tutorial

Tutorial · 02

• 25 min

Fix FinancialProduct schema

Walk a token page from generic Product schema to validated FinancialProduct schema. Real example, real fields, validation step, deploy step. The single highest-impact schema fix for crypto sites.

Start tutorial

Tutorial · 03

• 10 min

Allow AI crawlers in robots.txt

Configure robots.txt to allow GPTBot, ClaudeBot, PerplexityBot and the other AI crawlers without exposing your site to unwanted scraping. Includes the verification step.

Start tutorial

Tutorial · 04

• 30 min

Add E-E-A-T schema

Add Person and Organization schema to your crypto site so AI engines recognize your team identity and audit firm citations. The biggest lever after FinancialProduct schema.

Start tutorial

Tutorial · 05

• 20 min

Track AI citation rate over 30 days

Set up a citation-rate tracking workflow with the AI Citation Checker and a simple spreadsheet. Detect regressions, attribute lifts to specific deploys, build a defensible AEO trend line.

Start tutorial

Tutorial · 06

• 25 min

Migrate from generic SEO tooling

Move from Ahrefs, Semrush or Screaming Frog to Crawlux as your primary crypto-tuned audit. Mapping common workflows, keeping what works, replacing what does not.

Start tutorial

Tutorial · 07

• 30 min

CI-integrated webhooks

Set up Crawlux webhooks to auto-trigger an audit on every production deploy and post a Slack alert if the score regresses. Full workflow including signature verification and queue handling.

Start tutorial

// Picking the right tutorial

Where to start depends on what you already know.

// Never run a Crawlux audit before

Start with Tutorial 01.

Run your first audit walks the full workflow with zero assumed context. After that, tutorial 02 (FinancialProduct schema) and tutorial 03 (AI crawlers) cover the two highest-impact fixes for most crypto sites.

// Already audited, ready to ship fixes

Tutorials 02, 03 and 04 are the priority sequence.

FinancialProduct schema, AI crawler robots.txt, then E-E-A-T Person and Organization schema. Most crypto sites see 20+ point score improvements from these three alone.

// Want ongoing tracking, not one-time fix

Tutorial 05 then 07.

Track AI citation rate over 30 days then CI-integrated webhooks. Together they build an always-on AEO observability layer. Most agency teams run both as a standard workflow per managed client.

// Moving from another SEO tool

Tutorial 06 first.

Migrate from generic SEO tooling maps the common workflows in Ahrefs, Semrush and Screaming Frog to their Crawlux equivalents. After that, return to tutorials 01 through 04 to apply Crawlux specifically.

// Related

After the tutorials.

Tutorials get you operational. Once you have shipped the fixes covered here, the next layer of depth lives in the playbooks (denser fixes for specific symptoms), the pillar guides (full methodology and theory) and the developer docs (API and integration reference). The full knowledge surface is indexed at /knowledgebase/.

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