Search has always been text-heavy, but AI search engines are quickly becoming multi-modal, understanding, describing and citing information found in images, videos and tabular data, not just written paragraphs. This “unstructured” content is fast emerging as a unique and valuable discipline within GEO with optimization at the core for companies in Indore especially in retail, hospitality, real estate and manufacturing, where visual and tabular information plays a crucial role in customer decision.
Images are the most ignored asset on Most Indore Business Websites. Every product photo, storefront image or infographic has potential search value that is lost when basic optimization is ignored. Provide really descriptive alt text, not “image1.jpg” or even just “sofa”, but “brown 3-seater fabric sofa available at our Indore showroom in Palasia”. This alt text is directly readable by AI crawlers, and increasingly by multimodal models that can evaluate the visual content itself, cross-referencing what they see with what your alt text and surrounding page copy say. The same consistent specific description should be supported by file names, image captions and structured ImageObject schema.
Video content needs a parallel but different approach. The problem is most AI crawlers still can’t “watch” a video the same way a human can, so the informational weight is in the surrounding metadata: correct titles, rich descriptions, timestamps or chapters for longer videos, and — critically — transcripts. For example, if a furniture showroom in Indore is posting a video tour of their new collection, the page should always have a full-text transcript of the video tour. Why? The transcript is what actually gets indexed and what can potentially get cited. The properties of the VideoObject schema, including duration, upload date, and thumbnail, also help artificial intelligence and legacy search engines understand and display video content properly in appropriate results.
Tables deserve special attention because they are one of the richest and most quotable data formats for standard artificial intelligence systems — assuming they are marked up as real HTML tables and not as images of tables or as PDF screenshots. A comparison table showing pricing tiers, product specifications or service packages for an Indore based business should always be built with proper <table> HTML elements and not as a flattened image. AI crawlers can parse structured HTML tables far more reliably and extract specific data points from them with precision. If you’re putting pricing or comparison info out as a PDF brochure or an image, converting it into a real HTML table is one of the highest ROI technical fixes you can do.
Infographics are a popular format for summarizing local market data or industry patterns, but they present a unique challenge: all the valuable insight is often locked inside a static image that no crawler can read. The fix is to always pair an infographic with the same information in actual page text nearby – a short paragraph or bullet list restating the key data points shown visually. This ensures that the insight is visible to standard artificial intelligence systems and screen reader users, enhancing accessibility and AI visibility.
As generative engines move toward real multimodal retrieval (already seen in tools like Google’s AI Overviews pulling from images, and Perplexity beginning to cite video transcripts), businesses in Indore that treat their visual and tabular content with the same diligence as their written copy will have a meaningful edge. Audit your site this week. Are your images properly described, your videos transcribed, your data in real tables not static graphics? Fixes are often quick to implement but compound significantly over time as AI search moves toward richer media understanding.
