RRepoGEO

REPOGEO REPORT · LITE

dillionverma/llm.report

Default branch main · commit 343b8ee7 · scanned 6/28/2026, 8:47:39 PM

GitHub: 1,018 stars · 88 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
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 dillionverma/llm.report, 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
    Rephrase and reposition the 'unmaintained' notice to emphasize seeking new maintainers

    Why:

    CURRENT
    > [!CAUTION]
> Attention: llm.report is no longer actively maintained. This project was unable to find a sustainable business model, and the founders have moved on to other projects. If you are interested in maintaining or further developing this project, message me on twitter
    COPY-PASTE FIX
    > [!IMPORTANT]
> This project is currently seeking new maintainers. While the original founders are no longer actively developing llm.report, the codebase remains a valuable open-source solution for OpenAI API logging and analytics. If you are interested in contributing or taking over maintenance, please message me on Twitter.
  • mediumreadme#2
    Add a sentence to the introduction clarifying the project's core differentiator

    Why:

    CURRENT
    llm.report is an open-source logging and analytics platform for OpenAI: Log your ChatGPT API requests, analyze costs, and improve your prompts.
    COPY-PASTE FIX
    llm.report is an open-source logging and analytics platform for OpenAI: Log your ChatGPT API requests, analyze costs, and improve your prompts. Unlike many proprietary SaaS alternatives, llm.report provides a comprehensive, self-hostable solution for LLM usage analytics, cost tracking, and observability.
  • lowtopics#3
    Expand topics to include more specific terms for observability and cost management

    Why:

    CURRENT
    aiops, gpt-3, gpt-4, llm, llmops, mlops, nextjs, nodejs, open-source, openai, react, shadcn-ui, typescript
    COPY-PASTE FIX
    aiops, gpt-3, gpt-4, llm, llmops, mlops, nextjs, nodejs, open-source, openai, react, shadcn-ui, typescript, llm-observability, api-monitoring, cost-optimization

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 dillionverma/llm.report
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Dashboard
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Dashboard · recommended 1×
  2. Helicone · recommended 1×
  3. OpenMeter · recommended 1×
  4. Grafana · recommended 1×
  5. Prometheus · recommended 1×
  • CATEGORY QUERY
    How can I monitor and analyze my OpenAI API usage and costs effectively?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Dashboard
    2. Helicone
    3. OpenMeter
    4. Grafana
    5. Prometheus
    6. Datadog
    7. New Relic
    8. Dynatrace
    9. Langfuse

    AI recommended 9 alternatives but never named dillionverma/llm.report. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source tool to track LLM prompt performance and optimize costs.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenLLMetry
    3. LiteLLM
    4. Helicone.ai
    5. LLM-Trace
    6. PromptLayer
    7. WandB Prompts

    AI recommended 7 alternatives but never named dillionverma/llm.report. 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 dillionverma/llm.report?
    pass
    AI did not name dillionverma/llm.report — 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 dillionverma/llm.report in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dillionverma/llm.report 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 dillionverma/llm.report solve, and who is the primary audience?
    pass
    AI named dillionverma/llm.report explicitly

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

Embed your GEO score

Drop this badge into the README of dillionverma/llm.report. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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dillionverma/llm.report — 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