REPOGEO REPORT · LITE
gkamradt/langchain-tutorials
Default branch main · commit 697c4de4 · scanned 8/5/2026, 1:26:53 PM
GitHub: 7,479 stars · 2,015 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.
4 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 gkamradt/langchain-tutorials, 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.
The category visibility step did not produce results for this scan (the LLM may have been unreachable). Re-run the diagnosis to get the full GEO picture.
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenessfail
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 gkamradt/langchain-tutorials?skippedAI did not name gkamradt/langchain-tutorials — 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 gkamradt/langchain-tutorials in production, what risks or prerequisites should they evaluate first?skippedAI did not name gkamradt/langchain-tutorials — 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?
- In one sentence, what problem does the repo gkamradt/langchain-tutorials solve, and who is the primary audience?skippedAI did not name gkamradt/langchain-tutorials — 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?
Embed your GEO score
Drop this badge into the README of gkamradt/langchain-tutorials. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/gkamradt/langchain-tutorials)<a href="https://repogeo.com/en/r/gkamradt/langchain-tutorials"><img src="https://repogeo.com/badge/gkamradt/langchain-tutorials.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
gkamradt/langchain-tutorials — 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