REPOGEO REPORT · LITE

zahidkhawaja/langchain-chat-nextjs

Default branch main · commit a2bc2364 · scanned 5/10/2026, 9:57:03 PM

GitHub: 1,015 stars · 258 forks

AI VISIBILITY SCORE

33 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

2 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

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 zahidkhawaja/langchain-chat-nextjs, 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.

OVERALL DIRECTION

highreadme#1
Reposition README H1 to clarify its purpose as an AI chat starter kit
Why:
CURRENT
```
## LangChain Chat - Next.js
```
COPY-PASTE FIX
```
## LangChain Chat - Next.js Full-Stack AI Chatbot Template
```

mediumtopics#2

Add more specific topics to reflect the application type

Why:

CURRENT

javascript, langchain, nextjs, openai

COPY-PASTE FIX

javascript, langchain, nextjs, openai, chatbot, ai-assistant, starter-template, full-stack

mediumabout#3
Expand the repository description to highlight its full-stack starter kit nature
Why:
CURRENT
```
Next.js frontend for LangChain Chat.
```
COPY-PASTE FIX
```
A full-stack Next.js starter template for building AI chatbot assistants, powered by LangChain.js.
```

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.

Recall

0 / 2

0% of queries surface zahidkhawaja/langchain-chat-nextjs

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

vercel/next.js

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

vercel/next.js · recommended 2×
tailwindlabs/tailwindcss · recommended 2×
nuxt/nuxt · recommended 2×
sveltejs/kit · recommended 2×
facebook/react · recommended 1×

CATEGORY QUERY
What are good options for a responsive web UI for an LLM-powered chatbot?
you: not recommended
AI recommended (in order):
1. Next.js (vercel/next.js)
2. React (facebook/react)
3. Tailwind CSS (tailwindlabs/tailwindcss)
4. Vue.js (vuejs/core)
5. Nuxt.js (nuxt/nuxt)
6. Vuetify (vuetifyjs/vuetify)
7. Svelte (sveltejs/svelte)
8. SvelteKit (sveltejs/kit)
9. Create React App (facebook/create-react-app)
10. Material-UI (mui/material-ui)
11. Chakra UI (chakra-ui/chakra-ui)
12. Angular (angular/angular)
13. Angular Material (angular/components)
14. Streamlit (streamlit/streamlit)
15. Gradio (gradio-app/gradio)
AI recommended 15 alternatives but never named zahidkhawaja/langchain-chat-nextjs. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a full-stack web application starter for building an AI assistant chat.
you: not recommended
AI recommended (in order):
1. Next.js (vercel/next.js)
2. Vercel AI SDK (vercel/ai)
3. Supabase (supabase/supabase)
4. LangChain.js (langchain-ai/langchainjs)
5. PostgreSQL
6. Prisma (prisma/prisma)
7. Drizzle (drizzle-team/drizzle-orm)
8. Create T3 App (t3-oss/create-t3-app)
9. tRPC (trpc/trpc)
10. Tailwind CSS (tailwindlabs/tailwindcss)
11. Remix (remix-run/remix)
12. Nuxt.js (nuxt/nuxt)
13. Firebase
14. OpenAI API
15. Django (django/django)
16. Django REST Framework (encode/django-rest-framework)
17. LangChain.py (langchain-ai/langchain)
18. SvelteKit (sveltejs/kit)
19. PocketBase (pocketbase/pocketbase)
AI recommended 19 alternatives but never named zahidkhawaja/langchain-chat-nextjs. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

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 zahidkhawaja/langchain-chat-nextjs?
pass
AI named zahidkhawaja/langchain-chat-nextjs explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts zahidkhawaja/langchain-chat-nextjs in production, what risks or prerequisites should they evaluate first?
pass
AI named zahidkhawaja/langchain-chat-nextjs 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 zahidkhawaja/langchain-chat-nextjs solve, and who is the primary audience?
pass
AI did not name zahidkhawaja/langchain-chat-nextjs — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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zahidkhawaja/langchain-chat-nextjs — 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