AI Visibility Scorecard
qasource.com · Technology
Somewhat visible. AI bots can read AI, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 3 times
Claude
#34,137 of 2,705,620 in Technology for AI visibility
7
AEO Visibility
iVisible · 6.6/10
25
Muse Index Score
iAI agent readiness
Basic · 25/100
12
AI Adoption
iBasic · 12/100
from our crawl and measurement
"Unlock the power of AI-driven QA and testing. QASource provides comprehensive services to help you accelerate development and build better software." That is how qasource.com of Pleasanton, CA introduces itself. Its AI visibility score is 6.6 out of 10: the engines can find it, but they do not have much to hold on to.
Our crawl found structured data on the page (FAQPage, WebSite), an llms.txt file for AI models and a sitemap.
AI crawlers have visited 2 times in our tracking, including ClaudeBot (Anthropic).
Strong · Good · Fair · Weak
Structured Data
Fair
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Strong
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Strong
Experience, Expertise, Authority, Trust markers.
Technical AEO
Strong
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Strong
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
Social Mentions
Weak
No social discussion found yet.
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 6.6/10, AI has a working base to build on - fixable, and the signals above are where to start.
Is QASource a tool or a service?
QASource is primarily a service provider, offering expertise in software testing through our skilled engineers. While we have created specialized tools to enhance our service, these are exclusively used based on client needs and unavailable for licensing.
How much does it cost?
We understand that pricing is important to you. However, the cost varies based on individual customer needs. Since every project has distinct requirements, we can't offer a one-size-fits-all price. But to give you an idea: employing one of our test engineers typically costs about half to one-third of hiring an in-house test engineer in North America. Please contact us with your specific needs so we can provide a more precise estimate.
How do you get started so quickly?
We hire resources ahead of demand so that we can offer qualified engineers based on your unique needs and get started very quickly. Once hired our engineers are rigorously trained and evaluated on live projects, so they are equipped to start immediately as per the client's needs and skill set.
How do you integrate with my team? How does this actually work on a day-to-day basis?
We truly understand the essence of this question. It revolves around seamless collaboration, clear communication, and the efficient execution of tasks. Here's how we ensure this: 1. Onboarding and Training: The moment we embark on a partnership, our first step is an onboarding process where we get to understand your tools, methodologies, and your product in depth. We allocate time for training sessions, ensuring our QA experts are in sync with your product requirements and nuances. 2. Regular Sync-ups: We hold daily stand-up meetings with your team, ensuring we're aligned with the day's object
How do you handle security, privacy, intellectual property, etc?
Security, privacy, and intellectual property protection are at the forefront of our concerns when offering our QA testing services. Here’s a breakdown of how we handle these vital aspects: 1. Certifications and Compliance: We proudly emphasize our commitment to quality management, security, availability, processing integrity, confidentiality, and customer data privacy. 2. Binding Agreements: Before initiating any project, our engineers sign Mutual Non-Disclosure Agreements (MNDAs) which legally bind them to maintain the confidentiality of your project and ensure that any breach of trust will h
Can’t I just hire my own QA testing staff?
While hiring in-house testers might be appropriate in many situations, working with us offers several advantages that can be more suitable for businesses seeking flexibility, cost-efficiency, and specialized expertise. It's all about evaluating what aligns best with your company's goals, budget, and project needs. 1. Flexibility: Easily scale up or down based on project needs. 2. Specialized Expertise: Access to testers with diverse, cross-industry experiences. 3. Cost Efficiency: Pay for service without in-house overheads like recruitment and training. 4. Core Competency Focus: Let your in-ho
Which tools, technologies, and frameworks do you support?
Our team is proficient in a diverse array of tools, technologies, and frameworks to ensure that we meet the specific needs of every project and client. Here’s an overview: 1. Test Automation: 2. Frameworks: Selenium, Appium, TestNG, JUnit, Cucumber, Robot Framework. 3. Tools: QTP/UFT, Ranorex, Katalon Studio, TestComplete, Playwright, Cypress. 4. Performance Testing: JMeter, LoadRunner, NeoLoad, WebLoad, BlazeMeter. 5. Test Management: JIRA (with Zephyr or Xray), TestRail, QTest, Quality Center/ALM, QAJarvis. 6. Continuous Integration & Continuous Deployment (CI/CD): Jenkins, Bamboo, Travi
Do you have customer testimonials or case studies?
1. Client testimonials 2. Client case studies 3. Clutch.com reviews
Is this your brand?
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Your potential customers are asking ChatGPT, Gemini, and Claude questions about your product category. These AI models are giving answers without sending traffic to your website. You're not losing rank. You're losing visibility entirely.
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Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/qasource
Cite this score: Engagemii (2026). "AEO Score for AI." Retrieved from https://engagemii.com/aeo/brands/qasource
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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