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Home/Categories/LLMOps & AI Tooling/OneGlanse
icon of OneGlanse

OneGlanse

Open source alternative to Semrush, Ahrefs and BrightEdge

Track how your brand appears in AI-generated responses. Compare LLM outputs, analyze sources, and self-host for full data ownership.

65 starsTypeScriptMITActive this month
Visit websiteGitHub repo
image of OneGlanse
Contents
  1. 01Who OneGlanse is for
  2. 02The problem it solves
  3. 03How it solves it
  4. 04Strengths and trade-offs
  5. 05Tech stack
  6. 06FAQ
  7. 07Similar open-source tools
TL;DR

OneGlanse is an open-source GEO tracker for seeing how AI answer engines describe and rank a brand. It monitors model responses, sources, sentiment, and visibility signals across AI search surfaces.MIT · TypeScript · 65 stars · Active this month

who it's for

Who OneGlanse is for#

B2B brand visibility tracking

OneGlanse fits teams that need to know whether AI answer engines recommend them, ignore them, or frame them incorrectly.

Skip if:

You only need classic keyword-rank tracking.

Competitive AI answer audits

Marketing teams can compare model responses across competitors and sources.

Skip if:

You cannot act on content, positioning, or source improvements.

the problem

The problem it solves#

Search visibility is no longer limited to blue links. Prospects ask ChatGPT, Gemini, Claude, Perplexity, and AI Overviews for recommendations, and brands often have no record of what those systems said.

Traditional SEO tools report rankings and backlinks, but they may not show the actual generated answer, source citations, or sentiment around a brand. OneGlanse focuses on that AI visibility gap so teams can monitor how model answers present them against competitors.

how OneGlanse solves it

How it solves it#

AI answer monitoring

OneGlanse tracks how multiple AI systems respond to prompts about a brand, product, or market.

GEO visibility scoring

The product focuses on generative engine optimization signals such as mentions, position, sentiment, and source usage.

Open-source ownership

Teams can inspect and self-host the tracking logic rather than relying only on a proprietary marketing dashboard.

strengths · trade-offs

Strengths and trade-offs#

Strengths

  • Clear AI-search use caseOneGlanse is strongest for marketing teams that already track SEO but need direct visibility into AI-generated answers.
  • Raw response evidenceCapturing the answer text helps teams understand the narrative, not just a score.

Trade-offs

  • -AI surfaces change quicklyTeams should expect ongoing maintenance as model behavior, anti-bot controls, and answer formats change.
tech stack · detected from GitHub

What it's built on#

Languages
JavaScriptTypeScript
Frameworks
Next.jsReact
Databases
PostgreSQL
frequently asked

FAQ#

What is OneGlanse?

OneGlanse is an open-source tool for tracking how AI answer engines mention, rank, and describe a brand.

What does GEO mean here?

GEO means generative engine optimization, the work of improving how AI answer systems cite and describe a brand.

Who should use OneGlanse?

OneGlanse is best for marketing and growth teams that care about AI search visibility.

also worth a look

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Repository

Stars
65
Forks
14
License
MIT
Last commit
30 days ago
Last verified
Jun 6, 2026
Repo
aryamantodkar/oneglanse ↗

Additional details

Language
TypeScript
Open issues
1
Contributors
1
First release
2025

Categories

LLMOps & AI ToolingMarketing & GrowthData & Analytics

Tags

LLMOpsAI Search ToolsSelf HostedMonitoringWeb AnalyticsObservability