aSERP

aSERP is an answer engine optimization (AEO/GEO) platform that tracks how ChatGPT, Claude, Gemini, Perplexity, Grok and DeepSeek mention, cite and recommend a brand, built for marketing teams, SEO leads and agencies. The company is based in Riyadh, Saudi Arabia.

What is aSERP used for?

It shows whether your brand comes up when buyers ask an AI assistant about your category, and how prominently. aSERP captures answers every day and rolls them into five metrics per engine: visibility, prominence, share, citations and consistency. On top of that you get sentiment, the competitors named next to you and the domains the models cite as sources.

How does aSERP work?

You organize tracking into topics, prompts and search intent. Prompts are written in the language your buyers actually use rather than machine-translated, which aSERP calls market-true prompts. From that data it suggests fixes for each metric and lets you run experiments that compare before, during and after a change to your site. PDF or Excel reports can be scheduled and white-labeled. A standalone site checker reviews llms.txt, schema markup, crawler rules for OAI-SearchBot, Claude-SearchBot and PerplexityBot, and sitemap freshness.

Who is aSERP for?

• Marketing and SEO teams that need to measure AI search visibility.
• Agencies managing several brands that deliver white-label reports.
• Companies selling across several countries and languages that need each market measured on its own terms.

aSERP pros and cons

Pros: six engines with daily capture, prompt-level tracking and experiments that help prove whether a change worked, plus a commitment not to use your data for model training. Cons: API and Looker Studio access are still early access and limited to the Scale tier, the website is English-only, and AI answers shift over time, so the numbers are best read as trends.