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AI Visibility Scorecard
miquido.com · Technology
Somewhat visible. AI bots can read Miquido, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 8 times
Apple Intelligence · Amazon Alexa · Perplexity · Claude
#56,666 of 2,636,134 in Technology for AI visibility
6.7
/10
AEO Score
from our crawl and measurement
Miquido is a Krakow business whose own site puts it this way: "Miquido is a Google-certified software development company based in Poland. Our teams build & design industry-defining bespoke digital solutions. Let’s meet!." To AI engines like ChatGPT and Perplexity it is partially visible, scoring 6.7 out of 10, readable in places, missing in others.
Almost none of the machinery AI engines read is present, including structured data describing the business, an llms.txt file, a sitemap.
AI crawlers have visited the site 7 times in our tracking, so the engines are already looking.
Higher is better · 0-10
Structured Data
10
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
8
Clear headings and answer-style content.
Entity Clarity
10
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
8
Experience, Expertise, Authority, Trust markers.
Technical AEO
10
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
9
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
10
Inbound links from other sites.
Domain Authority
4
Established authority for your domain.
Reference Presence
0
Not in AI knowledge graphs yet.
News & Press
1
Press and news coverage.
Community
0
No community discussion yet.
Social Mentions
0
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 6.7/10, Miquido has a working base to build on - fixable, and the signals above are where to start.
How much does it cost to develop an eCommerce app?
There is no one fixed price for developing eCommerce development solutions. The cost varies from factors such as: The scope of your project : Including the amount and complexity of the app's features. Enterprise ecommerce development, custom eCommerce software development and tailor-made features, like AR shopping try-on or AI-based recommendation systems, might significantly increase the overall development cost. Therefore, you should always take advantage of the product discovery phase: a deliberate choice of the app's core features is critical to the efficiency and profitability of your eCo
How long does it take to build eCommerce software?
Again, the timeline of the eCommerce software development process depends on the scale and complexity of our client's vision. Miquido is a fully agile company, meaning that we always adjust our processes to your needs. If you develop eCommerce software with our team from scratch, it is safe to assume a similar methodology and time frames: Workshops (1 day - 5 weeks) : Depending on the clarity of your idea, you can choose from 4 types of Miquido workshops: product discovery or MVP definition workshops (1-2 days), design sprint (5 days) and complex product bootcamp to build the eCommerce app fro
When should I outsource eCommerce app development?
Outsourcing eCommerce development services can be an excellent option for businesses that lack the resources or expertise to build their in-house development team. Here are some situations when hiring an eCommerce app development company can also be a good choice: Time constraints : Developing an eCommerce app from scratch can take a lot of time and effort, which may not be feasible for businesses with tight deadlines. Cost constraints : Building an in-house team can be costly, especially if you need to hire eCommerce developers. Need for flexibility : Outsourcing usually is more flexible as y
Which technologies are used in eCommerce?
eCommerce is a diverse industry that covers many target groups and business models, such as B2B, B2C or marketplaces. The specific technologies used in eCommerce vary depending on the business's size or the company's needs and goals and include: eCommerce platforms : Shopify, WooCommerce, Magento, and BigCommerce Payment gateways : PayPal, Stripe or Square Customer Relationship Management (CRM) systems : Salesforce, HubSpot Analytics tools : Google Analytics, Kissmetrics, and Mixpanel Marketing automation tools : HubSpot, Marketo, and Pardot Artificial Intelligence (AI) and Machine Learning (M
What AI solutions can I implement into my eCommerce software?
AI and enterprise eCommerce development solutions should prioritise improving the customer experience, optimising sales, and streamlining user journeys. The worth to mention examples of AI solutions for eCommerce are: Personalised recommendation engines : AI algorithms, such as Amazon Personalize or Dynamic Yield, analyse customer behaviour and purchase history to improve customer satisfaction and sales Chatbots : AI-powered chatbots provide instant customer support, answer frequently asked questions, and assist with product search and checkout Fraud detection : AI algorithms can identify and
Is this your brand?
The exact fixes for Miquido
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
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 July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/miquido
Cite this score: Engagemii (2026). "AEO Score for Miquido." Retrieved from https://engagemii.com/aeo/brands/miquido
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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