AI Readiness

This topic covers guidance on meeting web and digital accessibility standards such as WCAG, ADA, and EAA requirements. Users typically ask about how to audit their websites or applications for accessibility compliance, implement inclusive design practices that work for people with disabilities, and understand their legal obligations under various accessibility regulations. The topic also addresses organizational commitments to environmental sustainability as part of broader accessibility and social responsibility initiatives.

This topic covers how marketers and content creators can adapt their digital strategies to be discovered through AI-powered search engines, chatbots, and generative AI tools like ChatGPT or Google's AI Overviews. Users working in this area want to understand how to structure their websites, optimize their content, and adjust their SEO practices so that AI systems can find, understand, and recommend their brand when answering user queries in these new discovery environments.

Content intelligence encompasses tools and practices for evaluating how well your content performs in AI-powered search environments and maintaining overall content quality. Users typically want to understand whether their content is structured and optimized for AI discovery, identify gaps or quality issues in their content library, and get actionable recommendations for improving how their information appears in AI search results and language model responses.

This topic covers systems and strategies for organizing, storing, and publishing digital content across websites and applications. Users typically ask about choosing between traditional and headless content management systems, managing content across multiple sites or brands, organizing media libraries and digital assets, building pages without coding, and implementing workflows and permissions for content teams in large organizations.

This topic covers the implementation of search systems that understand natural language queries and use AI to provide intelligent, conversational responses. Users working in this area typically ask questions about integrating large language models with search infrastructure, implementing retrieval-augmented generation (RAG) pipelines, and building interfaces where people can ask questions in plain language rather than using traditional keyword searches.

Squiz's Digital Experience Platform provides enterprise organizations with a composable architecture for building and managing digital experiences at scale. Users typically want to understand the platform's core capabilities, how its modular components work together, what security standards and certifications it maintains, and how the underlying infrastructure supports high-performance, reliable digital properties across their organization.

Funnelback is an enterprise search platform that helps organizations index and search content across multiple data sources within their environment. Users typically ask about how to configure Funnelback to crawl different content repositories, tune search relevance and ranking for their specific needs, and leverage its features for content discovery and retrieval across their enterprise systems.

Higher education portals provide comprehensive platforms for colleges and universities to manage the entire student experience, from recruitment through graduation. These systems help prospective students explore programs and apply to schools, enable current students to access courses and track their academic progress, and allow administrators to handle enrollment, scheduling, and institutional operations. Users typically ask questions about application processes, course registration, degree requirements, financial aid, campus services, and how to navigate their institution's specific portal features.

This topic covers tailored digital experience platforms and solutions designed for specific industries including professional services firms, legal practices, utility companies, energy providers, and membership organizations. Users typically ask about how to implement industry-specific features, integrate sector-relevant compliance requirements, and customize digital experiences to meet the unique workflows and regulatory needs of their particular industry vertical.

A personalization engine helps digital marketers deliver customized experiences to website visitors and customers by analyzing their behavior and preferences in real-time. Users typically want to know how to segment their audience effectively, integrate customer data from multiple sources, and optimize their content and offers to increase engagement and conversions. This topic covers the tools and strategies marketers use to move beyond one-size-fits-all approaches and create individualized experiences that drive better business results.

This topic covers how organizations implement and optimize search functionality on their websites to help visitors find content, products, or information quickly. Users typically ask about improving search relevance, implementing filters and faceted navigation, tracking what people search for, and choosing between different search platforms or technologies for their site. The focus is on the technical implementation and user experience aspects of making website search work effectively for both the business and its visitors.

This topic covers the legal and contractual aspects of using Squiz SaaS products, including the terms and conditions that govern customer and partner relationships with Squiz. Users typically come here looking for information about their rights and obligations under their subscription agreement, what service levels they can expect, what activities are permitted or prohibited on the platform, and what kind of support they're entitled to receive.