Migrate from generic SEO tooling to Crawlux.
Already using Ahrefs, Semrush, Screaming Frog or Moz for crypto SEO? This tutorial walks the migration. Keep what works (rank tracking, backlink data, technical crawls), replace what does not (generic schema validation, no AEO testing, wrong category benchmarks). By the end you have a crypto-tuned audit stack with no gaps and no double-work.
// Why migrate
Generic SEO tools were not built for crypto.
Three structural gaps. First, generic schema validators do not know what FinancialProduct should look like for a token (no contract address concept, no chain ID, no ticker cross-check). Second, no AEO testing means no visibility into ChatGPT, Perplexity and Claude cite rates which now matter as much as Google ranking. Third, benchmarks are wrong: scoring a DeFi protocol against e-commerce sites produces misleading comparisons. Crawlux fixes all three, but the right approach is augmentation not replacement.
// Section 01 // Map your existing workflows
What each tool actually does well.
Be specific about what you use generic tools for. Three buckets:
- Keep using: Rank tracking (Ahrefs / Semrush), backlink discovery (Ahrefs / Moz), technical crawls of large sites (Screaming Frog), content idea generation. These tools are good at what they do; Crawlux does not replace them.
- Replace with Crawlux: Schema validation, AEO testing, audit-firm citation tracking, YMYL trust-signal scoring, crypto vertical benchmarking, on-chain reconciliation. These either do not exist in generic tools or are too crypto-specific for generic tools to handle correctly.
- Run in parallel: Site-wide crawls. Screaming Frog crawls deeper than Crawlux on large sites (Crawlux focuses on signal pages). Run both and combine outputs for sites with 1,000+ pages.
// Section 02 // Migration sequence
Three-week migration plan.
Week 1: Run parallel audits
Run your usual Ahrefs or Semrush audit. Run a Crawlux audit on the same domain. Side by side, compare what each tool flags. You will see roughly 60% overlap (both tools catch the same technical issues) and 40% unique findings per tool (each catches things the other misses). Note which findings are crypto-specific (Crawlux catches them, generic tool does not).
Week 2: Move schema validation to Crawlux
Cancel the schema-validation portion of your generic-tool workflow. Switch to Crawlux Token Schema Audit module for crypto-specific schema validation. Keep the generic tool for non-crypto schema validation (Article, FAQPage) if you have non-crypto pages.
Week 3: Add AEO to your reporting
Generic tools do not track AI engine cite rates. Add the Crawlux AI Visibility audit to your monthly reporting. The single new dimension changes how you allocate fix effort: cite-rate lift compounds with Google ranking lift rather than competing for the same engineering time.
// Section 03 // Workflow mapping
Common workflows and where they land.
| Workflow | Generic tool | Crawlux | Recommendation |
|---|---|---|---|
| Rank tracking | Ahrefs / Semrush | Not covered | Keep using generic tool |
| Backlink discovery | Ahrefs / Moz | Backlink Toxicity module (crypto-specific) | Use both: generic for discovery, Crawlux for toxicity |
| Schema validation | Generic (Product, Article) | FinancialProduct + 8 crypto types | Switch to Crawlux for crypto pages |
| AI visibility (AEO) | Not covered | AI Visibility module across 3 engines | Add Crawlux to workflow |
| Technical SEO | Screaming Frog deep crawl | Technical group analyzer | Use both for sites > 1,000 pages |
| YMYL / E-E-A-T | Not covered | YMYL audit module | Add Crawlux to workflow |
// Section 04 // After migration
Your new monthly cadence.
After migration, most teams run this cadence: weekly rank-tracking pull from Ahrefs / Semrush. Weekly AI citation check via Crawlux AI Citation Checker (free). Monthly full Crawlux Pro audit for the comprehensive score. Quarterly methodology review against the published Crawlux methodology to catch new analyzers as they ship.
// After this tutorial
What to do next.
- Return to Tutorial 01 to walk a full Crawlux audit if you have not yet.
- Apply the priority fixes from your first audit using tutorials 02 (schema), 03 (robots.txt) and 04 (E-E-A-T).
// Related
More reading.
- Crawlux vs Ahrefs — head-to-head comparison
- Crawlux vs Semrush — head-to-head comparison
- Crawlux vs Screaming Frog — head-to-head comparison
- Crawlux methodology — full analyzer reference
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After state (what good looks like)
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "FAQPage",
"speakable": {
"@type": "SpeakableSpecification",
"cssSelector": [".faq-answer", ".quick-answer"]
},
"mainEntity": [
{
"@type": "Question",
"name": "Is Aave safe to use?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Aave has been audited 12+ times..."
}
}
]
}
</script>How to validate the fix
- ✓Schema.org Validator: 0 errors on the speakable property.
- ✓DOM check: every cssSelector in speakable resolves to actual DOM elements on the page.
- ✓AEO baseline test: capture citation rate before deploy across top 10 queries.
- ✓AEO post-deploy test: run same 10 queries 14 days after deploy. Expect 30-50% lift in citation count.
- ✓Voice test: ask Google Assistant a question your FAQ answers. Voice answer should pull from the Speakable-wrapped section.
Common pitfalls
Pitfall
Adding Speakable without FAQPage
Speakable can be added to Article or other types but works best paired with FAQPage. If your page doesn't have FAQPage yet, add it first. Speakable on a bare HTML page does little.
Pitfall
CSS selector that doesn't exist
If cssSelector points to .faq-answer but your DOM uses .accordion-content, Speakable resolves to nothing. Always validate that the selector actually matches DOM elements.
Pitfall
Pointing Speakable at the entire page
Don't use cssSelector: ["body"] or similar broad selectors. Speakable should point to specific answer-bearing elements. Broad selectors get ignored by parsers.
Pitfall
Speakable on pages without good answers
Speakable amplifies what's on the page. If your answers are vague or marketing-driven, Speakable amplifies vagueness. Make sure FAQ answers are concrete before adding Speakable.
Pitfall
Forgetting to update Speakable when content changes
If you redesign your FAQ block and change the class names, update the Speakable cssSelector. Stale selectors become invisible.
If something breaks: rollback
Remove the speakable property from FAQPage schema. Page falls back to regular FAQPage behavior within minutes. Citation rate may regress but no risk to site functionality.
Run a free Crawlux audit
Crawlux validates the schema, technical and AEO fixes from this tutorial automatically. Free tier on one domain.
Run free audit →FAQ
Does Speakable work outside FAQPage?
Yes. Speakable can be added to Article, BlogPosting, NewsArticle and most schema types. The pattern is the same: SpeakableSpecification with cssSelector or xpath pointing to the most-quotable sections of the page.
Will Speakable affect Google rich results?
Speakable isn't in Google's primary rich result types yet but it's parsed and used for voice answers. The main beneficiary is AI engines (ChatGPT, Perplexity, Claude) which weight Speakable-marked content higher for citations.
Can I use Speakable for marketing copy?
Technically yes but it backfires. AI engines extract Speakable content verbatim. If your marketing copy is promotional, AI engines may extract it but flag it as biased. Use Speakable for factual answers, not marketing claims.
How specific should cssSelector be?
Specific enough to match only the answer-bearing elements. .faq-answer is good. .content is too broad. Use class names dedicated to the answer sections, not generic content classes.
Does Speakable have a length limit?
No formal limit but practical limit is 1-3 sentences per Speakable section. AI engines extract these as direct answers; longer than 3 sentences typically gets truncated. Optimize answers to 1-3 sentences for best extraction.
Related tutorials
Pillar guides
Audit modules
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