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Every high-intent prompt creates a new consideration set. Glu shows whether your brand is visible, where competitors are winning, and what needs to improve.

Track how your brand performs across prompts, platforms and market.








Most AI visibility tools show you where you stand. We help you understand what is driving it and what to change next.





Audit, prioritise and optimise product information across hundreds or thousands of PDPs, so your catalogue becomes easier for AI to read, understand and recommend.

Enter any product page URL. Glu audits the page, identifies readiness gaps, generates an optimized version and shows the improvement before you publish.

SEO optimizes how search engines index and rank web pages. AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) optimize how AI systems read, interpret, and represent brands within generated answers. Where SEO improves visibility through links and keywords, AEO focuses on structured data, trust signals, and factual clarity that make your brand usable by AI models. In AEO, the goal is not ranking - it’s representation inside the answer.
It still matters. SEO remains the foundation of how search engines find and index your site. What’s changing is where discovery happens and how results are composed. Your existing SEO work gives AI systems valuable signals - content quality, backlinks, and authority but AI also needs structured context to interpret that information correctly. Glu builds on top of your SEO by making your brand machine-readable and trustworthy in AI-driven discovery. You don’t lose what you’ve done - you extend it into the next phase of search.
Most AEO and GEO platforms monitor visibility or optimize content externally. We operate natively inside Shopify, where brand and product data originate.We identify gaps in how AI systems read your data, optimizes structure and schema, enriches weak or missing fields, and writes improvements back into Shopify. A human-in-the-loop workflow ensures that every update maintains factual accuracy and brand integrity.The result is an AI-ready commerce layer- continuously improving how engines like ChatGPT, Gemini, and Perplexity interpret, trust, and surface your brand.
Initial results are visible within 3 - 4 weeks, depending on your current data structure and content consistency. Once integrated, we restructure your store data, validate schema markup, and improve metadata for AI comprehension. As AI crawlers and retrieval engines update, your brand begins to appear more accurately and more frequently in relevant generative responses.
We run thousands of prompts against each AI platform every day and record the API responses. That lets us measure visibility at the foundational model layer. If a brand isn’t represented there, it won’t appear in platform UIs. To mitigate AI’s probabilistic behavior, we continue to evaluate averaging and other statistical techniques in GEO Analytics to boost reliability, and we plan to supplement API monitoring by partnering with teams that capture the actual user‑facing AI interfaces. Our goal is to close the gap between API signals and real user experiences, capturing precisely what users see, including platform‑specific features, optimizations, and variations.
Nothing breaks — but visibility becomes harder to recover later. AI systems learn continuously, and early structure gives your brand a head start in how it’s read, trusted, and represented. If your data isn’t optimized now, AI may build incomplete or inaccurate associations that take longer to correct. Starting early means your brand grows with the new discovery ecosystem instead of playing catch-up once competitors are already trained into it.