Answena.com scores any URL across 10 retrieval signals + 5 AI assistants (ChatGPT, Claude, Gemini, Perplexity, Google AIO) and gives you a ranked fix list. Free, no signup, ~15 sec scan. Open methodology, real LLM probes, calibrated against research benchmarks.
I built Answena because traditional SEO tools optimize for Google's blue links — but my customers were finding my product through ChatGPT and Perplexity, not Google. Existing tools couldn't tell me how I'd appear inside an AI answer.
What it does:
Drop in any URL. In ~15 seconds, Answena scores it on 10 retrieval-pipeline signals (topic alignment, intent coverage, trust, readability, brand recognition, quotability, crawlability, freshness, external mentions, action surface) and runs the same query through real LLM panels — Claude, ChatGPT, DeepSeek, and others — to measure actual citation rate.
What's different:
Open methodology: every weight is documented, calibrated against the Princeton GEO paper (KDD 2024). No black box.
Real LLM probes (not just static signals) blended at 30% into the final score. Configure your own API keys.
Production-ready validation: Spearman ρ, AUC-ROC, NDCG@10, Brier score, ECE — measured against ground truth, not opinion.
🇹🇷 Multilingual: full Turkish + English support; per-language readability formulas (Ateşman, Bezirci, Flesch, Amstad, Oborneva, OSMAN).
Ranked fixes, not 200-item audits — top 3-5 things that move your score most.
Free, no signup, runs without API keys (heuristic mode). Drop your OPENAI_API_KEY / ANTHROPIC_API_KEY etc. for full live-probe mode.
Built with Node.js + vanilla JS. Methodology open at github.com/siyahtonu/gec.
Looking forward to your feedback! Especially curious to hear from teams whose customers are starting to come through AI assistants — what would you want measured?
Top comments (1)
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