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AI Visibility Scorecard

Uptrace

Uptrace

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uptrace.dev · Technology

Somewhat visible. AI bots can read Uptrace, but it is missing the structured signals that push citation rate above competitors.

Monitoring for AI engine activity

In the Engagemii AEO index

#39,593 of 2,623,137 in Technology for AI visibility

6.8

/10

AEO Score

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About Uptrace

from our crawl and measurement

Uptrace is a business whose own site puts it this way: "Cut observability costs by 80%. OpenTelemetry-native tracing, metrics, and logs with predictable pricing. Self-host free or use Uptrace Cloud." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 6.8 out of 10, readable in places and missing in others.

Our crawl found structured data on the page (FAQPage, WebSite, WebPage), an llms.txt file for AI models and a sitemap.

Industry · Technology
Last scored · Aug 2, 2026

The 6 signals AI reads

Higher is better · 0-10

Structured Data

7

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

9

Clear headings and answer-style content.

Entity Clarity

6

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

3

Experience, Expertise, Authority, Trust markers.

Technical AEO

10

robots.txt, llms.txt, and AI-bot crawl access.

AI Discoverability

8

Sitemaps and entity links AI can follow.

Off-page authority

How the web signals your brand to AI

Backlinks

10

Inbound links from other sites.

Domain Trust

4

Established authority for your domain.

Entity Presence

0

Not in AI knowledge graphs yet.

News Mentions

0

No press coverage found yet.

Community

6

Forum and community discussion.

Reddit

3

Reddit mentions and discussion.

What this score means

Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 6.8/10, Uptrace has a working base to build on - fixable, and the signals above are where to start.

Frequently Asked Questions

Why bill by data size instead of spans?

Data size is simple and predictable. An average span is about 500 bytes plus custom attributes, so you can estimate costs easily. This model is fairer for microservices that generate many small spans and RPC calls. You pay for what you actually store, not arbitrary span counts.

How does metrics billing work?

Metrics cost $1 per 1,000 active timeseries. A timeseries is a metric with a unique set of labels. The value and time fields don't count as labels, so they don't increase your timeseries count.

How long is data retained?

Uptrace Cloud keeps all data for 4 weeks (28 days) by default. Need longer retention? Store data on cold storage (S3 or HDD) for up to 100 weeks. Spans cost $0.01 per GB-month. Metrics cost $0.20 per 1,000 timeseries-month.

How does billing work?

We use Paddle for secure billing and global tax compliance. Your payment details stay with Paddle, so we never see them. Pay by credit card (automatic) or bank transfer (manual).

Can I reduce costs with sampling?

Yes. Configure Uptrace to sample a percentage of data and drop the rest to lower your bill. Dropped data costs just $0.01 per GB. For example, dropping 1,000 GB costs $10.

Where is data stored?

Uptrace Cloud runs in Hetzner's Germany datacenters with redundant backups in Finland. Sending from AWS or GCP? OTel Arrow cuts bandwidth 30–70% versus standard OTLP.

Can I run Uptrace on my own servers?

Yes. Install Uptrace on-premises with a license. Your telemetry never leaves your infrastructure, making it ideal for compliance and security audits. On-premises includes a free evaluation period, Terraform and Ansible automation, custom retention policies, and dedicated support.

Is Uptrace production-ready for large-scale environments?

Yes. Uptrace is built on ClickHouse, a columnar database designed for petabyte-scale analytics. Customers run Uptrace in production with billions of spans per day. Both Cloud and on-premises deployments support horizontal scaling.

Is this your brand?

The exact fixes for Uptrace

Which AI engines already crawl you

Weekly ChatGPT & Claude citation tracking

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Picked for Uptrace: Tech & Electronics

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Source & Attribution

Scored by Engagemii on August 2, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/uptrace-dev

Cite this score: Engagemii (2026). "AEO Score for Uptrace." Retrieved from https://engagemii.com/aeo/brands/uptrace-dev

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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