Building Apps on Shopify
Autoketing (autoketing.com) scores 73 out of 100 on Brand Analyzer, placing it in the Brand-Ready tier among E-commerce brands, SaaS brands, Technology brands, in the 31st percentile of 11360 E-commerce brands.
Moz Domain Authority 16/100 vs category average 44 / leader 95 - limited third-party links, so AI systems rarely encounter mentions of the brand.
No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.
The homepage meta description reads "Supporting store owners to sell better through effective and smart sales support applications." (Meta description: 13 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt present, no AI bot restrictions - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Content is VI-only, limiting citation in English-language AI answers.
Detected tech stack: Cloudflare.
Social footprint: verified profiles on Facebook, Instagram, LinkedIn; no detected presence on X (Twitter), YouTube, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
Autoketing scores 18/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
Autoketing has a weak AI-visibility profile at 18/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (52/100) and its weakest is visibility (0/100). It benefits from open access for AI crawlers (GPTBot, ClaudeBot, etc.). The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, no strong Wikidata entry and a low Moz Domain Authority of 16/100.
The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark.
Ranked closest to Autoketing: AutoAnything (73/100), Needle (73/100), Auto Krafters Inc. (73/100), AutoScout24 (73/100).
A step up - brands to learn from: Zoo Med Laboratories (81/100), ZonGuru (81/100).
Category leader: DHL (97/100).
Brand Analyzer is built by DataEase AI. Track your brand in ChatGPT, Gemini and Perplexity.