SEO Evolution Analyzer

Full AEO / AIO / GEO / crawlability analysis (rule-based, no LLM cost). Also accepts a urls array (max 5) for bulk mode.

# request body
{ "url": "https://example.com" }

Live AI citation test: real LLM queries with buyer-intent prompts, cached 48h per domain.

# request body
{ "url": "https://example.com", "forceRefresh": false }

The same prompts across every configured engine, returned as a prompt x engine matrix with a share-of-voice summary (including where engines disagree about you).

# request body
{ "url": "https://example.com", "forceRefresh": false }

Pre-publish AI citation readiness score (0-100). Rule-based, zero LLM cost — predicts how assistants will cite a draft before it goes live, with prioritized fixes.

# request body
{ "title": "...", "metaDescription": "...", "body": "...", "jsonLd": "...", "llmsTxt": "...", "brandName": "Acme", "targetUrl": "https://..." }

AI brand-safety audit: fact-checks live AI engine answers about the brand against its own page content. Flags hallucinated features, wrong pricing, unsupported precision and competitor mix-ups, plus key facts AI left out. Fact sheet cached 7d, per-engine verdicts 48h.

# request body
{ "url": "https://example.com", "forceRefresh": false }

Compare your page against a competitor across AI-readiness signals, schema coverage, content depth and a live per-engine citation test (one shared prompt set). Returns a prioritized catch-up gap list. Page analyses are rule-based; citation tests reuse the 48h cache.

# request body
{ "url": "https://you.com", "competitorUrl": "https://rival.com" }

Entity / knowledge-base builder (GEO): audits the page's JSON-LD entity footprint (types, name/URL/logo/sameAs consistency) and generates a KB-build strategy — canonical name variants, prioritized knowledge-base targets (Wikipedia, Crunchbase, LinkedIn, review platforms, directories), consistency rules — plus a ready-to-paste Organization + sameAs JSON-LD block. Audit is rule-based; the strategy LLM call is cached 7d.

# request body
{ "url": "https://example.com", "forceRefresh": false }

Full-page structured data audit: parses every JSON-LD/microdata/RDFa block on the page, validates it against schema.org (invalid properties, missing required/recommended props, value-type mistakes) and reports missing core entities (Organization, WebSite, FAQPage, Article, Product, LocalBusiness, BreadcrumbList) with a 0-100 readiness score and prioritized fixes. 100% rule-based — zero LLM cost.

# request body
{ "url": "https://example.com" }

AI-visibility dashboard for the API key owner's watchlist: per-URL citation trends, crawler access, brand-safety grade and improve/decline direction, engine disagreement and a combined leaderboard. Read-only — zero LLM cost, not quota-bound.

AI-targeted keyword clusters tagged by intent, difficulty, volume and AI relevance. Real Google Ads volumes via DataForSEO when connected.

# request body
{ "seed": "project management", "domain": "example.com" }

Keyword-scoped citation test: does each engine cite the brand for this specific query?

# request body
{ "keyword": "best pm tool", "url": "https://example.com" }

List saved keyword lists.

Save a research result as a named keyword list.

# request body
{ "name": "launch", "seed": "pm tools", "clusters": [ ... ] }

Full saved list including clusters.

Remove a saved keyword list.

GEO-aware link campaign: opportunity mix, named prospects, 30/60/90-day roadmap, multi-channel templates, anchors, metrics, checklist.

# request body
{ "domain": "example.com", "niche": "AI SEO", "competitors": "Otterly, Peec", "goal": "citations", "horizon": "90d" }

Ready-to-paste fixes from an analysis: JSON-LD schema, llms.txt, improved meta tags.

# request body
{ "analysis": { ...AnalysisResult } }

LLM-correct a JSON-LD snippet so it is spec-compliant and rich-result eligible.

# request body
{ "snippet": "{ \"@context\": ... }", "url": "https://example.com" }

Per-feature usage against the API quota pool (daily + monthly, remaining).