Answer Engine Optimization Tool
Real answer section paste करें, छह transparent AEO content signals score करें, extracted lead answer inspect करें, और prioritized revision plan के साथ निकलें.
Answer-readiness evaluator
Score a draft against six transparent, content-level checks.
67
Answer-readiness score
Useful foundation with a few extraction gaps.
Extracted lead answer
Answer engine optimization (AEO) is the practice of structuring content so AI-powered answer systems can understand, extract, and cite a clear response to a user's question.
Direct-answer lead
20/2026 words in the opening answer; 2 target-term matches.
Structure and headings
9/151 markdown headings and 4 list items detected.
Evidence and sourcing
8/202 source, date, data, or attribution markers detected.
Entity clarity
0/150 multi-word named entities detected in 88 words.
Extractability
15/153 of 3 paragraphs are 80 words or shorter.
Answer completeness
15/1588 words with visible structure.
Priority fixes
- Name products, organizations, people, standards, or locations precisely instead of relying on vague pronouns.
- Name the source behind important claims and include a relevant date or measurable evidence.
- Add descriptive question-led headings and a short list for multi-part answers.
This deterministic score evaluates only the pasted text. It does not query answer engines, verify citations, inspect crawl access, or guarantee inclusion in an AI-generated answer.
Content को easier बनाएं extract और trust करने के लिए
Answer engine optimization यह improve करता है कि page entity को कितनी clarity से define करता है, question का answer देता है, supporting detail structure करता है, और important claims को ground करता है. ये signals answer systems को passage समझने में मदद करते हैं, लेकिन कोई on-page checklist mention या citation guarantee नहीं कर सकती.
Evaluator pasted draft पर focus करता है: direct-answer clarity, headings, lists, entities, evidence markers, paragraph structure और completeness. Crawl access, schema validity, off-page authority और live answer visibility के लिए अलग checks चाहिए.
Target question से match करता हुआ self-contained response पहले दें.
Descriptive headings, concise passages, lists और tables use करें जहाँ वे answer clarify करते हैं.
Meaningful claims को sources, dates, standards या measurable data से attribute करें.
Content readiness को live mentions, citations, traffic और conversions से अलग रखें.
Usable answers के लिए optimize करें
Direct answer
Included
Target question से match करता हुआ self-contained response पहले दें.
Extractable structure
Included
Descriptive headings, concise passages, lists और tables use करें जहाँ वे answer clarify करते हैं.
Named evidence
Included
Meaningful claims को sources, dates, standards या measurable data से attribute करें.
Honest measurement
Included
Content readiness को live mentions, citations, traffic और conversions से अलग रखें.
How it works
एक draft को AEO action plan में बदलें
Score transparent है: हर result आपके supplied text की visible property से map होता है.
01
Target question set करें
Exact question नाम दें जिसका section answer करे और उसका page type चुनें.
02
Draft evaluate करें
Answer length, query alignment, headings, lists, evidence markers, entities और paragraph size check करें.
03
Weakest signals fix करें
तीन lowest-scoring dimensions से start करें, फिर crawl, schema और live visibility अलग से validate करें.
Evaluator आपके draft में क्या check करता है
हर dimension में visible point allocation और actionable improvement path है.
Direct-answer lead
Opening sentence concise है या नहीं और meaningful target-question terms से overlap करता है या नहीं check करता है.
Structure and headings
Markdown-style headings और list items count करता है जो multi-part answers को scannable बनाते हैं.
Evidence and sourcing
Source language, dates, percentages, research, reports और other attribution markers खोजता है.
Entity clarity
Explicit multi-word named entities और उन्हें identify करने के लिए enough surrounding context खोजता है.
Extractability
Concise paragraphs और structured lists reward करता है जो page से बाहर भी stand alone कर सकें.
Answer completeness
Useful depth को structure के साथ balance करता है ताकि draft answer, evidence, limits और next step cover करे.
Answer Engine Optimization Tool questions
Local score का मतलब क्या है और यह क्या prove नहीं कर सकता.