RRepoGEO

REPOGEO REPORT · LITE

Compresr-ai/Context-Gateway

Default branch main · commit aa29d621 · scanned 6/11/2026, 1:42:01 AM

GitHub: 610 stars · 49 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 Compresr-ai/Context-Gateway, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 and opening paragraph to clarify its role as an agentic proxy

    Why:

    CURRENT
    # Context Gateway

**Compresr** is a YC-backed company building LLM prompt compression and context optimization.

Context Gateway sits between your AI agent (Claude Code, Cursor, etc.) and the LLM API. When your conversation gets too long, it compresses history **in the background** so you never wait for compaction.
    COPY-PASTE FIX
    # Context Gateway: An Agentic Proxy for Instant LLM Context Optimization

**Compresr** is a YC-backed company building LLM prompt compression and context optimization.

Context Gateway is a specialized **agentic proxy** designed to enhance *any* AI agent workflow by sitting between your agent (like Claude Code or Cursor) and the LLM API. It provides instant history compaction and context optimization, ensuring your conversations never hit context limits and compaction happens seamlessly in the background.
  • mediumhomepage#2
    Add the official website as the repository homepage

    Why:

    COPY-PASTE FIX
    https://compresr.ai

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 Compresr-ai/Context-Gateway
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. OpenAI API · recommended 1×
  4. Haystack · recommended 1×
  5. BART · recommended 1×
  • CATEGORY QUERY
    How to manage long AI agent conversations and optimize LLM context window usage?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI API
    4. Haystack
    5. BART
    6. T5
    7. Redis
    8. Weaviate

    AI recommended 8 alternatives but never named Compresr-ai/Context-Gateway. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for real-time history compression and context optimization in AI agent workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Redis (redis/redis)
    4. Weaviate (weaviate/weaviate)
    5. Pinecone
    6. Faiss (facebookresearch/faiss)
    7. Hugging Face Transformers (huggingface/transformers)

    AI recommended 7 alternatives but never named Compresr-ai/Context-Gateway. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 Compresr-ai/Context-Gateway?
    pass
    AI did not name Compresr-ai/Context-Gateway — 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?

  • If a team adopts Compresr-ai/Context-Gateway in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Compresr-ai/Context-Gateway 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 Compresr-ai/Context-Gateway solve, and who is the primary audience?
    pass
    AI named Compresr-ai/Context-Gateway explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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Compresr-ai/Context-Gateway — 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