[{"data":1,"prerenderedAt":75},["ShallowReactive",2],{"i-material-symbols:language":3,"i-material-symbols:person":8,"i-mdi:instagram":10,"i-mdi:youtube":12,"i-ri:linkedin-fill":14,"i-ri:twitter-x-line":16,"i-ri:facebook-fill":18,"post-prompt-engineering-digital-asset-management":20,"i-material-symbols:person-outline":69,"i-material-symbols:calendar-month":71,"i-mdi:schedule":73},{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":7},0,24,false,"\u003Cpath fill=\"currentColor\" d=\"M8.125 21.213q-1.825-.788-3.187-2.15t-2.15-3.188T2 11.988t.788-3.875t2.15-3.175t3.187-2.15T12.013 2t3.875.788t3.175 2.15t2.15 3.175t.787 3.875t-.787 3.887t-2.15 3.188t-3.175 2.15t-3.875.787t-3.888-.787M12 19.95q.65-.9 1.125-1.875T13.9 16h-3.8q.3 1.1.775 2.075T12 19.95m-2.6-.4q-.45-.825-.787-1.713T8.05 16H5.1q.725 1.25 1.813 2.175T9.4 19.55m5.2 0q1.4-.45 2.488-1.375T18.9 16h-2.95q-.225.95-.562 1.838T14.6 19.55M4.25 14h3.4q-.075-.5-.112-.987T7.5 12t.038-1.012T7.65 10h-3.4q-.125.5-.187.988T4 12t.063 1.013t.187.987m5.4 0h4.7q.075-.5.113-.987T14.5 12t-.038-1.012T14.35 10h-4.7q-.075.5-.112.988T9.5 12t.038 1.013t.112.987m6.7 0h3.4q.125-.5.188-.987T20 12t-.062-1.012T19.75 10h-3.4q.075.5.113.988T16.5 12t-.038 1.013t-.112.987m-.4-6h2.95q-.725-1.25-1.812-2.175T14.6 4.45q.45.825.788 1.713T15.95 8M10.1 8h3.8q-.3-1.1-.775-2.075T12 4.05q-.65.9-1.125 1.875T10.1 8m-5 0h2.95q.225-.95.563-1.838T9.4 4.45Q8 4.9 6.912 5.825T5.1 8\"\u002F>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":9},"\u003Cpath fill=\"currentColor\" d=\"M9.175 10.825Q8 9.65 8 8t1.175-2.825T12 4t2.825 1.175T16 8t-1.175 2.825T12 12t-2.825-1.175M4 20v-2.8q0-.85.438-1.562T5.6 14.55q1.55-.775 3.15-1.162T12 13t3.25.388t3.15 1.162q.725.375 1.163 1.088T20 17.2V20z\"\u002F>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":11},"\u003Cpath fill=\"currentColor\" d=\"M7.8 2h8.4C19.4 2 22 4.6 22 7.8v8.4a5.8 5.8 0 0 1-5.8 5.8H7.8C4.6 22 2 19.4 2 16.2V7.8A5.8 5.8 0 0 1 7.8 2m-.2 2A3.6 3.6 0 0 0 4 7.6v8.8C4 18.39 5.61 20 7.6 20h8.8a3.6 3.6 0 0 0 3.6-3.6V7.6C20 5.61 18.39 4 16.4 4zm9.65 1.5a1.25 1.25 0 0 1 1.25 1.25A1.25 1.25 0 0 1 17.25 8A1.25 1.25 0 0 1 16 6.75a1.25 1.25 0 0 1 1.25-1.25M12 7a5 5 0 0 1 5 5a5 5 0 0 1-5 5a5 5 0 0 1-5-5a5 5 0 0 1 5-5m0 2a3 3 0 0 0-3 3a3 3 0 0 0 3 3a3 3 0 0 0 3-3a3 3 0 0 0-3-3\"\u002F>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":13},"\u003Cpath fill=\"currentColor\" d=\"m10 15l5.19-3L10 9zm11.56-7.83c.13.47.22 1.1.28 1.9c.07.8.1 1.49.1 2.09L22 12c0 2.19-.16 3.8-.44 4.83c-.25.9-.83 1.48-1.73 1.73c-.47.13-1.33.22-2.65.28c-1.3.07-2.49.1-3.59.1L12 19c-4.19 0-6.8-.16-7.83-.44c-.9-.25-1.48-.83-1.73-1.73c-.13-.47-.22-1.1-.28-1.9c-.07-.8-.1-1.49-.1-2.09L2 12c0-2.19.16-3.8.44-4.83c.25-.9.83-1.48 1.73-1.73c.47-.13 1.33-.22 2.65-.28c1.3-.07 2.49-.1 3.59-.1L12 5c4.19 0 6.8.16 7.83.44c.9.25 1.48.83 1.73 1.73\"\u002F>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":15},"\u003Cpath fill=\"currentColor\" d=\"M6.94 5a2 2 0 1 1-4-.002a2 2 0 0 1 4 .002M7 8.48H3V21h4zm6.32 0H9.34V21h3.94v-6.57c0-3.66 4.77-4 4.77 0V21H22v-7.93c0-6.17-7.06-5.94-8.72-2.91z\"\u002F>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":17},"\u003Cpath fill=\"currentColor\" d=\"M10.488 14.651L15.25 21h7l-7.858-10.478L20.93 3h-2.65l-5.117 5.886L8.75 3h-7l7.51 10.015L2.32 21h2.65zM16.25 19L5.75 5h2l10.5 14z\"\u002F>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":19},"\u003Cpath fill=\"currentColor\" d=\"M14 13.5h2.5l1-4H14v-2c0-1.03 0-2 2-2h1.5V2.14c-.326-.043-1.557-.14-2.857-.14C11.928 2 10 3.657 10 6.7v2.8H7v4h3V22h4z\"\u002F>",{"postType":21,"id":22,"author":23,"date":26,"modified":27,"title":28,"slug":29,"seoTitle":30,"seoDescription":31,"excerpt":32,"trimmedExcerpt":33,"content":34,"readingTime":35,"featuredImage":36,"postCategory":42,"relatedPosts":47},"post",67811,{"id":24,"name":25},"author-0218090114000120080525","Brian Athey","2025-01-03T20:44:17","2026-01-07T10:05:50","The ultimate guide to prompt engineering for AI-powered DAM search","prompt-engineering-digital-asset-management","Essential prompt engineering tutorial for DAM","Find out what prompt engineering is, how it connects with Canto AI Visual Search, best practices, and use cases for digital asset management (DAM) users.","Imagine a bustling retail warehouse full of products waiting to be sent to store shelves or online customers. The warehouse is vast, containing countless items arranged in seemingly endless rows. Without an organized system, quickly finding a specific product becomes a daunting task. Now, picture an advanced robotic system that you can prompt to not […]","Imagine a bustling retail warehouse full of products waiting to be sent to store shelves or online customers. The warehouse...","\u003Cp class=\"wp-block-paragraph\">Imagine a bustling retail warehouse full of products waiting to be sent to store shelves or online customers. The warehouse is vast, containing countless items arranged in seemingly endless rows. Without an organized system, quickly finding a specific product becomes a daunting task.\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">Now, picture an advanced robotic system that you can prompt to not only locate items with pinpoint accuracy but also suggest related products that match seasonal trends or promotional themes. In a digital sense, this is how prompt engineering and AI Visual Search work together in Canto’s \u003Ca href=\"\u002Fdigital-asset-management\u002F\">digital asset management\u003C\u002Fa> (DAM) system.\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">This blog will explore how the combination of these two technologies is transforming industries like retail and manufacturing, illustrating their potential to enhance workflows, improve compliance, and drive better outcomes.\u003C\u002Fp>\u003Ch2 class=\"wp-block-heading\" id=\"toc-1--what-is-prompt-engineering\">What is prompt engineering?\u003C\u002Fh2>\u003Cp class=\"wp-block-paragraph\">\u003Cstrong>Prompt engineering is about crafting precise, context-rich inputs to guide AI tools in generating the most accurate and relevant outputs.\u003C\u002Fstrong> Prompt engineering serves as the bridge between human intent and machine understanding, ensuring AI delivers meaningful, actionable results.\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">For marketers, prompt engineering is like writing a creative brief for an ad campaign — the more detailed and tailored the instructions, the better the outcomes. By leveraging prompt engineering, marketers can fine-tune AI tools to align with their goals, whether it’s identifying the perfect asset in Canto’s DAM system, generating personalized ad copy, or refining customer insights.\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">As AI evolves, the ability to engineer effective prompts has become an essential skill, empowering marketers to harness AI’s full potential to create campaigns that resonate with their audience and drive measurable results.\u003C\u002Fp>\u003Ch3 class=\"wp-block-heading\">What is prompt engineering in digital asset management?\u003C\u002Fh3>\u003Cp class=\"wp-block-paragraph\">\u003Cstrong>Prompt engineering in Canto’s digital asset management platform enables users to craft precise queries that guide AI to deliver accurate, actionable results.\u003C\u002Fstrong> It transforms asset discovery by refining searches, reducing time spent locating assets, uncovering reusable content, and streamlining workflows.\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">By aligning AI outputs with user intent, it minimizes duplication, lowers content creation costs, and enhances content strategies.\u003C\u002Fp>\u003Ch2 class=\"wp-block-heading\" id=\"toc-2--how-prompt-engineering-and-canto-ai-visual-search-connect\">How prompt engineering and Canto AI Visual Search connect\u003C\u002Fh2>\u003Cp class=\"wp-block-paragraph\">\u003Cstrong>Canto AI Visual Search leverages \u003Ca href=\"\u002Fblog\u002Fcomputer-vision\u002F\">computer vision\u003C\u002Fa> and \u003Ca href=\"\u002Fblog\u002Fbasics-of-machine-learning\u002F\">machine learning\u003C\u002Fa> to analyze and interpret visual content within Canto, allowing users to locate specific images or videos based on descriptive inputs.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">Traditional searches in a DAM would rely exclusively on precise keyword and tag searches, but if your users don’t know what keywords to include in their searches or content isn’t tagged correctly, the results will be unhelpful:\u003C\u002Fp>\u003Cfigure class=\"wp-block-image aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"880\" height=\"314\" src=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201333\u002Fprompt-engineering-for-AI-search-1.png\" alt=\"Search prompt without AI Visual Search inside Canto for "model smiling with a white background" and no results.\" class=\"wp-image-67831\" srcset=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201333\u002Fprompt-engineering-for-AI-search-1.png 880w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201333\u002Fprompt-engineering-for-AI-search-1-450x161.png 450w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201333\u002Fprompt-engineering-for-AI-search-1-768x274.png 768w\" \u002F>\u003C\u002Ffigure>\u003Cp class=\"wp-block-paragraph\">When you are able to use AI and natural language, you can begin to refine your searches in order to get better results.\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">Let’s enable AI Visual Search and use, as an example, a typical search for an online retailer looking for images of: “model smiling with a white background:”\u003C\u002Fp>\u003Cfigure class=\"wp-block-image aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"880\" height=\"450\" src=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201243\u002Fprompt-engineering-for-AI-search-2.jpg\" alt=\"Search prompt inside Canto using AI Visual Search for "model smiling with a white background and many results appearing."\" class=\"wp-image-67820\" srcset=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201243\u002Fprompt-engineering-for-AI-search-2.jpg 880w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201243\u002Fprompt-engineering-for-AI-search-2-450x230.jpg 450w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201243\u002Fprompt-engineering-for-AI-search-2-768x393.jpg 768w\" \u002F>\u003C\u002Ffigure>\u003Cp class=\"wp-block-paragraph\">The search results are very general and can be improved using prompt engineering. Your new search query could be modified to: “asian female model smiling closeup with a white background:”\u003C\u002Fp>\u003Cfigure class=\"wp-block-image aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"880\" height=\"450\" src=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201254\u002Fprompt-engineering-for-AI-search-3.jpg\" alt=\"Prompt engineering improves search results inside Canto AI Visual Search using prompt "asian female model smiling closeup with a white background."\" class=\"wp-image-67821\" srcset=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201254\u002Fprompt-engineering-for-AI-search-3.jpg 880w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201254\u002Fprompt-engineering-for-AI-search-3-450x230.jpg 450w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201254\u002Fprompt-engineering-for-AI-search-3-768x393.jpg 768w\" \u002F>\u003C\u002Ffigure>\u003Cp class=\"wp-block-paragraph\">Now, you can use prompt engineering to refine your search even more and provide additional details: “asian female model with black hair smiling with red lipstick closeup with a white background:”\u003C\u002Fp>\u003Cfigure class=\"wp-block-image aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"880\" height=\"382\" src=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201255\u002Fprompt-engineering-for-AI-search-4.jpg\" alt=\"Prompt engineering refined further inside Canto AI Visual Search overtop a red background.\" class=\"wp-image-67822\" srcset=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201255\u002Fprompt-engineering-for-AI-search-4.jpg 880w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201255\u002Fprompt-engineering-for-AI-search-4-450x195.jpg 450w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201255\u002Fprompt-engineering-for-AI-search-4-768x333.jpg 768w\" \u002F>\u003C\u002Ffigure>\u003Cp class=\"wp-block-paragraph\">For organizations managing thousands of digital assets, prompt engineering and AI Visual Search alleviate the frustration of combing through current and historical assets lacking sufficient metadata and enable teams to find the right assets faster.\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">By utilizing Canto AI Visual Search, organizations can overcome content chaos, improve content collaboration, and reimage how they manage digital content entirely.\u003C\u002Fp>\u003Ch2 class=\"wp-block-heading\" id=\"toc-3--prompt-engineering-best-practices\">Prompt engineering best practices\u003C\u002Fh2>\u003Cp class=\"wp-block-paragraph\">\u003Cstrong>One of the best frameworks used by prompt engineers is called SMART.\u003C\u002Fstrong> While this acronym is used by prompt engineers to achieve the best outputs from LLMs, SMART can also be used to help you get the most out of your Canto AI Visual Search queries.\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">Here is how to create a SMART prompt:\u003C\u002Fp>\u003Ch3 class=\"wp-block-heading\">Specific\u003C\u002Fh3>\u003Cp class=\"wp-block-paragraph\">\u003Cstrong>Ensure the prompt is direct and unambiguous.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">Instead of writing “construction workers,” be specific: “images of carpenters hammering nails on a roof.”\u003C\u002Fp>\u003Ch3 class=\"wp-block-heading\">Measurable\u003C\u002Fh3>\u003Cp class=\"wp-block-paragraph\">\u003Cstrong>Define the aspect ratio for images:\u003C\u002Fstrong> landscape, portrait, square, widescreen.\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">Rather than writing “red shirts on a blue background,” add an aspect ratio for the images: “portrait images of a red blouse with a light blue background.”\u003C\u002Fp>\u003Ch3 class=\"wp-block-heading\">Achievable\u003C\u002Fh3>\u003Cp class=\"wp-block-paragraph\">\u003Cstrong>Keep the query realistic.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">Remember that AI Visual Search is searching for assets exclusively from your Canto library. If the assets are not available, AI Visual Search will provide the most relevant examples according to your search terms.\u003C\u002Fp>\u003Ch3 class=\"wp-block-heading\">Relevant\u003C\u002Fh3>\u003Cp class=\"wp-block-paragraph\">\u003Cstrong>Focus on outputs pertinent to your needs.\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">If you need holiday shots, be specific about which holiday: “Christmas themed images of sweaters. Or, instead of “images of holiday sweaters,” you can specify: “lifestyle images of Christmas sweaters.”\u003C\u002Fp>\u003Ch3 class=\"wp-block-heading\">Time-bound\u003C\u002Fh3>\u003Cp class=\"wp-block-paragraph\">\u003Cstrong>Specify when the images or videos were taken:\u003C\u002Fstrong> morning, afternoon, night, type of lighting, black and white, time period, etc.\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">An example search could be: “Lifestyle image of a family walking in a forest at sunrise in the morning.”\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">When utilizing Canto AI Visual Search, remember to search SMARTer, not harder.\u003C\u002Fp>\u003Ch2 class=\"wp-block-heading\" id=\"toc-4--practical-applications-in-dam-vertical-specific-use-cases\">Practical applications in DAM: Vertical-specific use cases\u003C\u002Fh2>\u003Ch3 class=\"wp-block-heading\">Manufacturing: Identifying compliance risks through visual search refinement\u003C\u002Fh3>\u003Cp class=\"wp-block-paragraph\">In \u003Ca href=\"\u002Findustries\u002Fmanufacturing\u002F\">manufacturing\u003C\u002Fa> and \u003Ca href=\"\u002Findustries\u002Fconstruction\u002F\">construction\u003C\u002Fa>, ensuring photography compliance with safety and regulatory standards is critical. Canto AI Visual Search capabilities help locate assets that may break compliance standards, such as images of workers without required safety gear (e.g., helmets, gloves, or goggles). Prompt engineering and search refinement enhance these capabilities significantly.\u003C\u002Fp>\u003Ch4 class=\"wp-block-heading\">Refining searches based on safety equipment\u003C\u002Fh4>\u003Cp class=\"wp-block-paragraph\">By developing targeted prompts (e.g., “construction worker wearing a baseball cap with a nail gun daytime closeup side shot”), prompt engineering allows DAM users to find assets that demonstrate a lack of compliance. In the image below, we can see examples of how refining our searches with prompt engineering can help find non-compliant media:\u003C\u002Fp>\u003Cfigure class=\"wp-block-image aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"882\" height=\"440\" src=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201256\u002Fprompt-engineering-for-AI-search-5.jpg\" alt=\"Prompt engineering inside Canto AI Visual Search helps users find non-compliant construction photography quickly.\" class=\"wp-image-67823\" srcset=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201256\u002Fprompt-engineering-for-AI-search-5.jpg 882w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201256\u002Fprompt-engineering-for-AI-search-5-450x224.jpg 450w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201256\u002Fprompt-engineering-for-AI-search-5-768x383.jpg 768w\" \u002F>\u003C\u002Ffigure>\u003Ch4 class=\"wp-block-heading\">Tagging historical assets for OSHA compliance\u003C\u002Fh4>\u003Cp class=\"wp-block-paragraph\">AI Visual Search can be used to retrospectively tag historical assets with OSHA compliance tags. For instance, images can be marked with tags like “OSHA compliant” if all required safety gear is visible, creating an organized repository of compliant images for future audits or training:\u003C\u002Fp>\u003Cfigure class=\"wp-block-image aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"880\" height=\"492\" src=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201258\u002Fprompt-engineering-for-AI-search-6.jpg\" alt=\"Screenshot showing a repository of OSHA compliant images created by searching compliant images with AI Visual Search and adding OSHA compliant as a tag to all respective images.\" class=\"wp-image-67824\" srcset=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201258\u002Fprompt-engineering-for-AI-search-6.jpg 880w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201258\u002Fprompt-engineering-for-AI-search-6-450x252.jpg 450w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201258\u002Fprompt-engineering-for-AI-search-6-768x429.jpg 768w\" \u002F>\u003C\u002Ffigure>\u003Ch4 class=\"wp-block-heading\">Identifying and tagging OSHA violations in historical assets\u003C\u002Fh4>\u003Cp class=\"wp-block-paragraph\">Similarly, AI Visual Search can help detect and tag images that display OSHA violations — such as “worker wearing a baseball cap nailing a wood wall.” These images can be set to a \u003Cstrong>Restricted Status\u003C\u002Fstrong> in Canto, which will remove visibility for all users. Additionally, \u003Ca href=\"\u002Fglossary\u002Fdigital-rights-management\u002F\">digital rights\u003C\u002Fa> can be embedded into the assets, thus ensuring compliance at scale:\u003C\u002Fp>\u003Cfigure class=\"wp-block-image aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"880\" height=\"501\" src=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201259\u002Fprompt-engineering-for-AI-search-7.jpg\" alt=\"Screenshot showing non-compliant assets set to Restricted Status in Canto over a green background.\" class=\"wp-image-67825\" srcset=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201259\u002Fprompt-engineering-for-AI-search-7.jpg 880w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201259\u002Fprompt-engineering-for-AI-search-7-450x256.jpg 450w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201259\u002Fprompt-engineering-for-AI-search-7-768x437.jpg 768w\" \u002F>\u003C\u002Ffigure>\u003Ch4 class=\"wp-block-heading\">Cost and resource efficiency\u003C\u002Fh4>\u003Cp class=\"wp-block-paragraph\">By automating asset searches and compliance checks, AI Visual Search reduces the need for extensive manual audits. This cost-effective solution minimizes the time and labor needed to maintain compliance, supporting lean operations without sacrificing thoroughness.\u003C\u002Fp>\u003Ch3 class=\"wp-block-heading\">Retail: Enhancing product discoverability and brand compliance\u003C\u002Fh3>\u003Cp class=\"wp-block-paragraph\">In the \u003Ca href=\"\u002Findustries\u002Fretail\u002F\">retail\u003C\u002Fa> industry, DAM systems play a crucial role in organizing and distributing product imagery and promotional content. Retailers rely on efficient \u003Ca href=\"\u002Fglossary\u002Fbrand-management\u002F\">brand management\u003C\u002Fa> processes and the ability to quickly retrieve on-brand content to keep pace with seasonal trends, promotions, and new product launches. Canto AI Visual Search, combined with prompt engineering, can streamline these processes, ensuring that assets are easy to find, on-brand, and seasonally relevant.\u003C\u002Fp>\u003Ch4 class=\"wp-block-heading\">Refining searches for brand compliance\u003C\u002Fh4>\u003Cp class=\"wp-block-paragraph\">Prompt engineering enables retail teams to refine searches for desired brand assets, such as logos, assets with color schemes, and specific product angles or settings. For example, a retail team could prompt Canto AI Visual Search to locate only those images where the brand logo is prominently displayed or filter out assets that don’t align with current branding guidelines:\u003C\u002Fp>\u003Cfigure class=\"wp-block-image aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"880\" height=\"338\" src=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201301\u002Fprompt-engineering-for-AI-search-8.jpg\" alt=\"Screenshot of images found using Canto AI Visual Search that display the BIRKENSTOCK logo by a specific location.\" class=\"wp-image-67826\" srcset=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201301\u002Fprompt-engineering-for-AI-search-8.jpg 880w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201301\u002Fprompt-engineering-for-AI-search-8-450x173.jpg 450w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201301\u002Fprompt-engineering-for-AI-search-8-768x295.jpg 768w\" \u002F>\u003C\u002Ffigure>\u003Ch4 class=\"wp-block-heading\">Seasonal and trend-based search optimization\u003C\u002Fh4>\u003Cp class=\"wp-block-paragraph\">You can use prompt engineering to search seasonal assets with natural language like “lifestyle images of a diverse group of friends posing for the camera with christmas sweaters.” Contextual prompts that use the SMART framework reduce time spent searching for specific campaign materials. SMART contextual prompts also help marketing teams respond faster to market demands while aligning with upcoming seasonal or holiday promotions:\u003C\u002Fp>\u003Cfigure class=\"wp-block-image aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"880\" height=\"439\" src=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201302\u002Fprompt-engineering-for-AI-search-9.jpg\" alt=\"Screenshot of a natural language search using AI Visual Search to find seasonal assets quickly.\" class=\"wp-image-67827\" srcset=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201302\u002Fprompt-engineering-for-AI-search-9.jpg 880w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201302\u002Fprompt-engineering-for-AI-search-9-450x224.jpg 450w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201302\u002Fprompt-engineering-for-AI-search-9-768x383.jpg 768w\" \u002F>\u003C\u002Ffigure>\u003Ch4 class=\"wp-block-heading\">ROI and efficiency metrics\u003C\u002Fh4>\u003Cp class=\"wp-block-paragraph\">Implementing Canto AI Visual Search has been shown to improve asset retrieval speed, drastically reducing search time. Retail marketers can leverage these improvements to optimize campaign workflows, allowing teams to focus more on strategic planning and execution rather than searching for assets.\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">For example, you will notice in the search query above that “ifestyle” is misspelled — this is intentional because Canto AI Visual Search enables users to find assets through intuitive, conversational queries that have misspellings or inconsistent capitalization.\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">If you were to search using the exact same query with metadata exclusively, no results populate:\u003C\u002Fp>\u003Cfigure class=\"wp-block-image aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"880\" height=\"450\" src=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201321\u002Fprompt-engineering-for-AI-search-10.png\" alt=\"Screenshot of no search results populating in Canto using natural language and keyword search only.\" class=\"wp-image-67830\" srcset=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201321\u002Fprompt-engineering-for-AI-search-10.png 880w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201321\u002Fprompt-engineering-for-AI-search-10-450x230.png 450w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201321\u002Fprompt-engineering-for-AI-search-10-768x393.png 768w\" \u002F>\u003C\u002Ffigure>\u003Cp class=\"wp-block-paragraph\">Once Canto AI Visual Search is enabled, you can rapidly discover all relevant images. It’s important to note that proper nouns and holidays do not need to be capitalized in an AI Visual Search query, as you can see from a query like “guy with a beard and glasses cheersing with red cups at a christmas party:”\u003C\u002Fp>\u003Cfigure class=\"wp-block-image aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"880\" height=\"450\" src=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201304\u002Fprompt-engineering-for-AI-search-11.jpg\" alt=\"Screenshot showing seasonal assets being found in Canto using AI Visual Search even when proper nouns are not capitalized.\" class=\"wp-image-67828\" srcset=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201304\u002Fprompt-engineering-for-AI-search-11.jpg 880w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201304\u002Fprompt-engineering-for-AI-search-11-450x230.jpg 450w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201304\u002Fprompt-engineering-for-AI-search-11-768x393.jpg 768w\" \u002F>\u003C\u002Ffigure>\u003Ch4 class=\"wp-block-heading\">Enhancing the customer experience\u003C\u002Fh4>\u003Cp class=\"wp-block-paragraph\">Let’s say you have a specific HEX code that needs to be available in a colored eyeshadow product. By including the hex code from the metadata as well as natural language, we can enhance the customer experience by quickly delivering on-brand and relevant digital assets:\u003C\u002Fp>\u003Cfigure class=\"wp-block-image aligncenter\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"880\" height=\"442\" src=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201305\u002Fprompt-engineering-for-AI-search-12.jpg\" alt=\"Screenshot of a keyword and natural language search using Canto AI Visual Search revealing images that use a specific HEX code.\" class=\"wp-image-67829\" srcset=\"\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201305\u002Fprompt-engineering-for-AI-search-12.jpg 880w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201305\u002Fprompt-engineering-for-AI-search-12-450x226.jpg 450w, \u002Fcdn\u002Fen\u002F2025\u002F01\u002F03201305\u002Fprompt-engineering-for-AI-search-12-768x386.jpg 768w\" \u002F>\u003C\u002Ffigure>\u003Ch2 class=\"wp-block-heading\" id=\"toc-5--canto-ai-visual-search-is-the-future-of-dam-discovery\">Canto AI Visual Search is the future of DAM discovery\u003C\u002Fh2>\u003Cp class=\"wp-block-paragraph\">If you are seeking to streamline your content workflows, maximize content value, and increase discoverability for specific use cases in your content library, Canto’s DAM platform powered by AI Visual Search is your answer.\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">\u003Ca href=\"\u002F\">Canto\u003C\u002Fa> is the leader in digital asset management, powering top brands to organize, find, collaborate, and distribute digital assets faster than ever before. When you combine the power of AI Visual Search with effective prompt engineering practices, teams gain increased efficiency, marketing and sales campaigns become more effective, and organizations can scale content management easily.\u003C\u002Fp>\u003Cp class=\"wp-block-paragraph\">In addition to AI Visual Search, Canto offers everything you need to transform your content workflows:\u003C\u002Fp>\u003Cul class=\"wp-block-list\">\u003Cli>\u003Cstrong>Metadata management tools:\u003C\u002Fstrong> Smart Tags and text recognition organize content with metadata for you\u003C\u002Fli>\u003Cli>\u003Cstrong>Facial recognition:\u003C\u002Fstrong> Find images featuring specific people and add metadata quickly\u003C\u002Fli>\u003Cli>\u003Cstrong>\u003Ca href=\"\u002Fproduct\u002Fdam-for-products\u002F\">Canto DAM for Products\u003C\u002Fa>:\u003C\u002Fstrong> Product-driven organizations can finally unite product information and digital assets in one platform\u003C\u002Fli>\u003Cli>\u003Cstrong>Media Publisher:\u003C\u002Fstrong> Publish images to storefronts, websites, and platforms automatically in the correct sizes and ratios from Canto\u003C\u002Fli>\u003Cli>\u003Cstrong>Collaboration tools:\u003C\u002Fstrong> Streamline content production and approval using Workflows, Workspaces, comments, and annotations\u003C\u002Fli>\u003Cli>\u003Cstrong>Style Guides:\u003C\u002Fstrong> Organize all brand elements in one place to align teams and channels around your brand identity\u003C\u002Fli>\u003Cli>\u003Cstrong>Brand management tools:\u003C\u002Fstrong> Control your content with approval statuses, expiration dates, and digital rights management tools\u003C\u002Fli>\u003C\u002Ful>\u003Cp class=\"wp-block-paragraph\">\u003Cstrong>Ready to discover the power of Canto for yourself? \u003Ca href=\"\u002Frequest-a-demo\u002F\">Book a personalized demo\u003C\u002Fa> and find out how AI Visual Search could benefit your brand today.\u003C\u002Fstrong>\u003C\u002Fp>\u003Ch2 class=\"wp-block-heading\" id=\"toc-6--prompt-engineering-frequently-asked-questions\">Prompt engineering frequently asked questions\u003C\u002Fh2>\u003Ch3 class=\"wp-block-heading\">What is the key to crafting effective prompts?\u003C\u002Fh3>\u003Cp class=\"wp-block-paragraph\">The key to crafting effective prompts lies in providing details and following the SMART framework: ensure prompts are Specific, Measurable, Achievable, Relevant, and Time-bound. The SMART prompts approach helps guide Canto AI Visual Search to deliver precise and actionable results tailored to your needs.\u003C\u002Fp>",9,{"url":37,"url_md":38,"alt":39,"height":40,"width":41},"https:\u002F\u002Fwww.canto.com\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03195407\u002Fprompt-engineering-for-AI-search-feature.jpg","https:\u002F\u002Fwww.canto.com\u002Fcdn\u002Fen\u002F2025\u002F01\u002F03195407\u002Fprompt-engineering-for-AI-search-feature-450x236.jpg","Hand holding a magnifying glass looking at AI written on a monitor over a red background.",630,1200,[43],{"id":44,"slug":44,"title":45,"path":46},"ai","Artificial Intelligence","\u002Fpost-category\u002Fai\u002F",[48,55,62],{"featuredImage":49,"postId":50,"slug":51,"title":52,"description":53,"path":54},"https:\u002F\u002Fwww.canto.com\u002Fcdn\u002Fen\u002F2025\u002F07\u002F28190035\u002Fhumanize-AI-content-feature-450x236.jpg",70728,"how-to-humanize-ai-content","How to humanize AI and why content authenticity always wins","Learn how to humanize AI content with real emotion and authenticity. Stand out in an AI-saturated world by boosting connection and brand trust.","\u002Fblog\u002Fhow-to-humanize-ai-content\u002F",{"featuredImage":56,"postId":57,"slug":58,"title":59,"description":60,"path":61},"https:\u002F\u002Fwww.canto.com\u002Fcdn\u002Fen\u002F2024\u002F06\u002F19183849\u002Fai-nearest-neighbor-feature-450x263.jpg",64825,"descriptors-and-k-nearest-neighbors","How AI discovers content using descriptors and k-nearest neighbors","Discover how the latest AI models use descriptors, also called n-dimensional vectors, and k-nearest neighbors to recommend similar content for today’s consumer.","\u002Fblog\u002Fdescriptors-and-k-nearest-neighbors\u002F",{"featuredImage":63,"postId":64,"slug":65,"title":66,"description":67,"path":68},"https:\u002F\u002Fwww.canto.com\u002Fcdn\u002Fen\u002F2025\u002F11\u002F04165510\u002Fai-marketing-tools-feature-450x236.jpg",71792,"best-ai-marketing-tools","The best AI marketing tools in 2026","Explore the top AI marketing tools for 2026 and see how Canto's AI-powered DAM helps teams simplify workflows, scale creativity, and maximize content value.","\u002Fblog\u002Fbest-ai-marketing-tools\u002F",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":70},"\u003Cpath fill=\"currentColor\" d=\"M9.175 10.825Q8 9.65 8 8t1.175-2.825T12 4t2.825 1.175T16 8t-1.175 2.825T12 12t-2.825-1.175M4 20v-2.8q0-.85.438-1.562T5.6 14.55q1.55-.775 3.15-1.162T12 13t3.25.388t3.15 1.162q.725.375 1.163 1.088T20 17.2V20zm2-2h12v-.8q0-.275-.137-.5t-.363-.35q-1.35-.675-2.725-1.012T12 15t-2.775.338T6.5 16.35q-.225.125-.363.35T6 17.2zm7.413-8.587Q14 8.825 14 8t-.587-1.412T12 6t-1.412.588T10 8t.588 1.413T12 10t1.413-.587M12 18\"\u002F>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":72},"\u003Cpath fill=\"currentColor\" d=\"M12 14q-.425 0-.712-.288T11 13t.288-.712T12 12t.713.288T13 13t-.288.713T12 14m-4.712-.288Q7 13.426 7 13t.288-.712T8 12t.713.288T9 13t-.288.713T8 14t-.712-.288M16 14q-.425 0-.712-.288T15 13t.288-.712T16 12t.713.288T17 13t-.288.713T16 14m-4 4q-.425 0-.712-.288T11 17t.288-.712T12 16t.713.288T13 17t-.288.713T12 18m-4.712-.288Q7 17.426 7 17t.288-.712T8 16t.713.288T9 17t-.288.713T8 18t-.712-.288M16 18q-.425 0-.712-.288T15 17t.288-.712T16 16t.713.288T17 17t-.288.713T16 18M5 22q-.825 0-1.412-.587T3 20V6q0-.825.588-1.412T5 4h1V2h2v2h8V2h2v2h1q.825 0 1.413.588T21 6v14q0 .825-.587 1.413T19 22zm0-2h14V10H5z\"\u002F>",{"left":4,"top":4,"width":5,"height":5,"rotate":4,"vFlip":6,"hFlip":6,"body":74},"\u003Cpath fill=\"currentColor\" d=\"M12 20a8 8 0 0 0 8-8a8 8 0 0 0-8-8a8 8 0 0 0-8 8a8 8 0 0 0 8 8m0-18a10 10 0 0 1 10 10a10 10 0 0 1-10 10C6.47 22 2 17.5 2 12A10 10 0 0 1 12 2m.5 5v5.25l4.5 2.67l-.75 1.23L11 13V7z\"\u002F>",1787374904268]