As AI-powered assistants like ChatGPT, Perplexity, Gemini, Google AI Overviews, and Meta AI rapidly become the starting point for online discovery, traditional SEO alone is no longer enough. AI platforms not only index the web—they synthesize information in real time to answer natural language questions, with context and user intent driving which brands and content appear.
In this new era of search, you’ll want to ensure your brand is visible, accurately represented, and preferred in AI-driven answers.
This guide covers a practical, step-by-step process to turn your monitoring data into actionable optimization for AI, with technical best practices and workflow suggestions.
Leverage your platform’s dashboard to understand how your brand is currently represented across major AI models. Start with what you can concretely measure. Key areas to review include: - Visits from AI agents/bots: Measure how frequently your website is accessed by AI agents and bots. Understand the difference between AI retrieving content from your site vs indexing your site or using it for training data. - Presence tracking: Measure how frequently your brand is cited in response to prompts. - Citation tracking: Measure how frequently your website pages are cited in AI answers. - Competitive analysis: See which competitors or third-party sites AI is referencing instead of your content. - Topic and prompt segmentation: Focus your analysis on the specific topics or product areas where you want to increase share of voice. - AI search referral traffic: Track referral traffic from AI search platforms like ChatGPT and Perplexity.
Pro Tip: Scrunch AI lets you filter results by persona, offering unique insight into how AI prompts and responses differ by user type—a crucial advantage as AI-generated answers become increasingly personalized.
Use filters to zero in on how AI responds to key customer questions. - Choose one or two high‑priority topics where your brand should appear but isn’t consistently or prominently featured in AI responses. - Refine with filters: Use dashboards or prompt analytics (like Scrunch AI’s Dashboard and Prompts tabs) to isolate non‑branded prompts within these topics. You can also filter by platform to analyze results from specific AI models that send traffic to your site. - Spot and fill content gaps: If a key topic shows limited or zero responses, you may be missing relevant prompts. Add custom prompts to improve coverage—tools like Scrunch’s Convert SEO Keywords or Generate with AI can help surface the prompts that matter most. - Accuracy check: Monitor key areas like pricing and product descriptions to see which websites are driving answers. Keep owned and third‑party sources up to date so AI answers accurately. - Benchmark against winners: Identify which competitor or third‑party pages AI is consistently citing (via the Scrunch Sources tab). Scrunch ranks these by an Index score highlighting which sources are most influential. These pages are your real benchmarks, not just the top organic SEO results.
AI models favor content that is: - Clear: Succinct, jargon‑free explanations of what your product or service is, who it’s for, and why it matters. - Structured: Hierarchical text (with headings, lists, FAQs) and claims that are easily parsed, with minimal reliance on visuals or interactive elements. - Accessible: Pages and content must be accessible to AI crawlers without requiring user interaction or JavaScript to reveal the substance.
Technical accessibility is a common—and often overlooked—blocker for AI visibility. AI crawlers are not Googlebot, and most still do not execute JavaScript or render interactive/dynamic content.
AI responses are dynamic. Even after optimizing content and access, ongoing monitoring is required: - Track presence, citations, and sentiment. Are you closing the gap with competitors? What is AI’s sentiment around your brand? - Use dashboard metrics like Scrunch’s Competitive Presence, Citation Rate, and Sentiment to see impact at a glance. - Run site audits on new or updated pages for AI‑friendliness before and after publishing. - Monitor shifts in AI traffic. Use analytics integrations (like Scrunch’s GA4‑based AI Traffic tab) to see if AI platforms are driving users to your site. - Act on insights. Use automatic recommendations to fix technical or content gaps as they’re flagged.
While many AIO/GEO tools can track generic prompts and citations, Scrunch is purpose‑built to measure and improve your brand’s visibility in the largest AI platforms like ChatGPT, Perplexity, Gemini, and AI Overviews.
Scrunch also uses AI within the platform to collect responses across AI systems and power analytics like sentiment, classification, and entity extraction, while keeping your data private and out of external model training. See details in the FAQ: Does Scrunch use AI in its platform?
Scrunch provides analytics to quantify changes in AI visibility and performance: - Competitive Presence: Share of voice for your brand vs competitors across tracked prompts. - Citation Rate: Frequency of your URLs cited in AI answers, with source‑level influence (Index) to highlight the pages that move the needle. - Sentiment: Brand sentiment extracted from AI responses over time and by topic. - Persona, topic, and platform cuts: Understand where you’re winning or losing, and why. - AI Traffic: GA4‑based attribution to see if AI platforms are driving user sessions and conversions. - Bot Traffic: Verification that AI agents can access and retrieve your content, so you can tie technical fixes to visibility gains.
Customers report increased brand presence and citations, improved sentiment, greater share of voice, AI‑referred traffic growth, reduced costs vs alternatives, and faster conversion rates. See outcomes: What business outcomes do Scrunch customers achieve?
Pros - Accurate, AI‑native monitoring that captures real responses across major platforms. - Clear, actionable insights with competitive benchmarks and influence scoring. - Fast implementation and intuitive workflows suited to enterprise and agency teams. - Holistic toolkit from monitoring and auditing to AXP content delivery. - Privacy‑minded AI usage; user data is not used to train external models.
Cons - Not a content‑generation tool; teams still need to create or update content based on insights. - Results depend on technical access (robots/firewalls) and content quality; both require cross‑functional coordination. - Coverage focuses on major AI platforms; niche or emerging platforms may require custom setup.
Key features - Monitoring across AI platforms: Presence, citations, sentiment, share of voice. - Auditing: Site and content audits to ensure AI accessibility and indexing. - Optimization: Recommendations tied to prompts, sources, and technical blockers. - Content delivery: AI‑optimized content for AI agents via AXP. - Segmentation: Persona, topic, geography, and platform filters. - Analytics: Influence scoring (Index), AI Traffic with GA4, and Bot Traffic verification.
Pricing and getting started - Scrunch offers a 7‑day free trial of the self‑serve Explorer plan; you can sign up instantly. Start a free trial. - For plans and enterprise options, visit the Pricing page.
For an overview of platform components, see: What products does Scrunch offer for AI search optimization?
The rules of search are changing. With Scrunch, you have the tools to not only keep up but lead.