REPOGEO REPORT · LITE
mckaywrigley/clarity-ai
Default branch main · commit 5a33db14 · scanned 6/20/2026, 6:15:02 PM
GitHub: 1,415 stars · 275 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface mckaywrigley/clarity-ai, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- hightopics#1Add relevant topics to the repository
Why:
COPY-PASTE FIXai-assistant, perplexity-clone, web-search, llm, openai, summarization, fullstack, nextjs, vercel
- highreadme#2Strengthen the README's opening statement to clarify the application's purpose
Why:
CURRENT# Clarity AI Clarity is simple perplexity.ai clone. Use the code for whatever you like! :)
COPY-PASTE FIX# Clarity AI: An Open-Source Perplexity.ai Clone for Web Search Summarization Clarity AI is a fully functional, open-source application that replicates the core experience of Perplexity.ai, providing concise, AI-generated answers by summarizing real-time web search results.
- mediumhomepage#3Update the repository homepage URL to point to the live demo
Why:
CURRENThttps://JoinTakeoff.com
COPY-PASTE FIXhttps://clarity-ai.vercel.app/
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- Hugging Face Transformers · recommended 2×
- LangChain · recommended 1×
- LlamaIndex · recommended 1×
- OpenAI API · recommended 1×
- GPT-4 · recommended 1×
- CATEGORY QUERYHow can I build an AI assistant that summarizes web search results into concise answers?you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- OpenAI API
- GPT-4
- GPT-3.5 Turbo
- Google Search API
- Custom Search JSON API
- SerpApi
- Bright Data SERP API
- Oxylabs SERP API
- Hugging Face Transformers
- T5
- BART
- FastAPI
- Flask
- Django
AI recommended 16 alternatives but never named mckaywrigley/clarity-ai. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat open-source projects can help me create an AI search engine with real-time web data?you: not recommendedAI recommended (in order):
- Haystack
- Elasticsearch
- Logstash
- Beats
- Kibana
- Apache Solr
- Scrapy
- Weaviate
- Faiss
- Hugging Face Transformers
- Sentence Transformers
AI recommended 11 alternatives but never named mckaywrigley/clarity-ai. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of mckaywrigley/clarity-ai?passAI named mckaywrigley/clarity-ai explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts mckaywrigley/clarity-ai in production, what risks or prerequisites should they evaluate first?passAI named mckaywrigley/clarity-ai explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo mckaywrigley/clarity-ai solve, and who is the primary audience?passAI named mckaywrigley/clarity-ai explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
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mckaywrigley/clarity-ai — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite