{"id":57978,"date":"2025-09-26T12:41:06","date_gmt":"2025-09-26T12:41:06","guid":{"rendered":"https:\/\/nuoptima.com\/?post_type=ai-search-guide&p=57978"},"modified":"2026-03-09T15:07:02","modified_gmt":"2026-03-09T15:07:02","slug":"ai-tracking","status":"publish","type":"ai-search-guide","link":"https:\/\/nuoptima.com\/ai-search-guide\/ai-tracking","title":{"rendered":"How to Track Your Brand in AI Search"},"content":{"rendered":"

Traditional SEO reporting used to be simple: you tracked rankings, checked impressions and clicks in Search Console, and mapped those numbers to business impact. AI-driven search has reshaped that flow. Platforms like Google AI Overviews, AI Mode, Perplexity, and Bing Copilot no longer just list results – they generate answers and choose which sources to reference. That shift means the key question is no longer “do we rank?” but “are we being cited in the generative layer?”<\/p>\n\n\n

The challenge is that this answer layer doesn’t sit neatly inside existing analytics tools, and it isn’t stable. A query that cites your brand today might not include you tomorrow, even if nothing on your site changed. GEO analytics is about shining light on this hidden layer, tracking how it moves, and connecting those appearances to measurable results.<\/p>\n\n\n

Active vs Passive Ways to Spot Visibility<\/h2>\n\n\n

A reliable GEO measurement setup blends two approaches: actively checking where you show up and passively watching how search systems interact with your site.<\/p>\n\n\n

Active detection means building your own monitoring agents that query AI search engines, capture the responses, and check for mentions of your domain. This could be as lightweight as a browser automation script that runs a set of queries and saves screenshots, or as advanced as a full pipeline that stores structured citation data from HTML or JSON outputs. The important part is repetition — AI answers are regenerated each time, so you need to run these agents often to capture how results shift. That variation is useful data in itself, especially when you compare it against changes in your own content or the wider competitive set.<\/p>\n\n\n

Passive detection comes from your server logs. By tracking requests from AI crawlers, you can see when these systems fetch your pages. For example, if you notice PerplexityBot hitting certain URLs more frequently and then spot an uptick in citations for those same pages, you’ve uncovered a clear connection between retrieval and exposure. With more advanced parsing, you can group these bot visits by page and understand which parts of your site are being prioritized.<\/p>\n\n\n

Tracking AI Search Bots<\/h2>\n\n\n

One of the most direct ways to understand how your content feeds into generative answers is to keep a close eye on the bots that crawl your site. These user agents represent the retrieval layer for platforms such as ChatGPT, Claude, Perplexity, Bing Copilot, and others. By monitoring them in your server logs, you get an early signal of when and how your content is being collected for potential inclusion in AI-generated responses.<\/p>\n\n\n

This visibility matters because changes in crawl activity often align with shifts in your presence across AI search features. If certain bots increase their visits, it can indicate a stronger chance of your pages being retrieved and cited. Building and maintaining an up-to-date list of these crawlers, then matching their activity to your generative visibility, gives you one of the few tangible ways to measure a process that otherwise operates in the dark.<\/p>\n\n\n\n

Vendor<\/strong><\/td>User Agent \/ Token<\/strong><\/td>Purpose<\/strong><\/td>How to Manage<\/strong><\/td>Extra Notes<\/strong><\/td><\/tr>
OpenAI<\/strong><\/td>GPTBot<\/td>Collects content for OpenAI model training<\/td>Block or allow in robots.txt (User-agent: GPTBot)<\/td>Documented on OpenAI\u2019s official site<\/td><\/tr>
<\/td>OAI-SearchBot<\/td>Fetches pages for ChatGPT\u2019s search results, not for training<\/td>User-agent: OAI-SearchBot<\/td>Used specifically for retrieval<\/td><\/tr>
Anthropic<\/strong><\/td>ClaudeBot<\/td>Broad crawler for Claude model training<\/td>Control with robots.txt<\/td>Publicly explained in Anthropic\u2019s help docs<\/td><\/tr>
<\/td>Claude-User<\/td>Fetcher triggered during live user queries<\/td>User-agent: Claude-User<\/td>Distinct from training bot<\/td><\/tr>
Perplexity<\/strong><\/td>PerplexityBot<\/td>Main crawler that builds Perplexity\u2019s index<\/td>User-agent: PerplexityBot<\/td>Publishes IP ranges and bot details<\/td><\/tr>
<\/td>Perplexity-User<\/td>Request-time fetcher when a user asks a question<\/td>User-agent: Perplexity-User<\/td>Not used for long-term indexing<\/td><\/tr>
Google<\/strong><\/td>Googlebot Family<\/td>Standard crawlers for web, images, video, etc.<\/td>Controlled in robots.txt<\/td>Feeds both Search and generative features<\/td><\/tr>
<\/td>Google-Extended<\/td>Token that governs use of your content in AI features<\/td>Add in robots.txt as User-agent: Google-Extended<\/td>Not a crawler itself, just a control switch<\/td><\/tr>
Microsoft<\/strong><\/td>bingbot<\/td>Bing\u2019s primary crawler, also used for Copilot<\/td>User-agent: bingbot<\/td>Behaves like Googlebot with AI integration<\/td><\/tr>
Apple<\/strong><\/td>Applebot<\/td>Crawler for Siri, Spotlight, and Apple services<\/td>User-agent: Applebot<\/td>Standard Apple crawler<\/td><\/tr>
<\/td>Applebot-Extended<\/td>Token for opting out of Apple\u2019s AI training use<\/td>Control in robots.txt<\/td>Only affects model training, not crawling<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n

Shaping Visibility With NUOPTIMA<\/h2>\n\n\n

At NUOPTIMA<\/a>, we see visibility as more than search rankings. In AI-driven results, the question is whether your brand is recognized, cited, and trusted in the answer itself. That’s why we align classic SEO with Generative Engine Optimization – helping brands earn presence where it matters most.<\/p>\n\n\n

We combine strategy, data, and execution to make sure your content is both retrievable by AI systems and impactful for real users. Our work spans technical SEO, international optimization, and content built to drive measurable growth. The result is stronger visibility that translates directly into business outcomes.<\/p>\n\n\n

Why Brands Choose Us:<\/h3>\n\n\n
    \n
  • Proven results with 70+ industry leaders across multiple sectors<\/li>\n\n\n\n
  • 3x average return on ad spend across organic and paid campaigns<\/li>\n\n\n\n
  • Expertise in scaling SaaS, eCommerce, healthcare, and more<\/li>\n\n\n\n
  • A balance of AI-driven insights with human-led strategy<\/li>\n<\/ul>\n\n\n

    Our approach isn’t about chasing vanity metrics. It’s about building visibility that sticks — presence in AI answers, credibility with users, and lasting gains in traffic and revenue. By focusing on how AI systems retrieve and cite information, we help brands secure a position in the conversations that drive decisions.<\/p>\n\n\n

    We also understand that every business is different. That’s why we tailor strategies to match your industry, your audience, and your growth goals. Whether you’re a startup looking for traction or an established company scaling globally, we apply the same data-driven mindset to deliver results you can measure.<\/p>\n\n\n

    At the end of the day, our mission is simple: make sure your brand doesn’t just appear in search, but that it stands out in the AI-powered future of discovery.<\/p>\n\n\n

    Detecting AI Overviews and AI Mode<\/h2>\n\n\n

    Google runs both AI Overviews and AI Mode on top of its generative systems, but the two behave differently, which means you need separate ways of measuring them.<\/p>\n\n\n

    AI Overviews<\/h3>\n\n\n

    Overviews appear directly within the search results page, usually when Google decides a quick, synthesized summary will improve the experience. Spotting them requires more than glancing at rankings. You need to capture the full SERP, scan for the Overview block, and check whether your site is being referenced in the answer or linked as a source.<\/p>\n\n\n

    The challenge is that Overviews aren’t fixed. A query might trigger one result in the morning and a completely different set in the afternoon. Sometimes the block disappears altogether. That instability makes ongoing tracking essential – one screenshot tells you almost nothing, but repeated checks reveal the real pattern of your presence.<\/p>\n\n\n

    AI Mode<\/h3>\n\n\n

    AI Mode works differently. It sits in its own tab and produces longer, conversational responses. Because it aims to sustain a dialogue, the sources it cites often diverge from those shown in Overviews. Measuring visibility here means capturing the full conversation output and extracting every link included.<\/p>\n\n\n

    By comparing the two: Overviews and AI Mode – you can see how Google favors different sites depending on context. This side-by-side view often uncovers platform biases and shows where your brand is strong in one environment but missing in the other.<\/p>\n\n\n

    Tracking AI Overviews and AI Mode With FetchSERP<\/h2>\n\n\n

    One of the simplest ways to monitor your visibility in Google’s AI surfaces is through FetchSERP. The platform provides a set of API endpoints that can return both traditional SERP data and generative results. For GEO tracking, the two endpoints that matter most are:<\/p>\n\n\n

      \n
    • \/serp_ai – combines AI Overview and AI Mode in one payload whenever they’re available.<\/li>\n\n\n\n
    • \/serp_ai_mode – a faster, US-only endpoint that focuses specifically on AI Mode results.<\/li>\n<\/ul>\n\n\n

      Both require an API token in the header, and each request needs your search query plus an optional country parameter (default is US).<\/p>\n\n\n

      How It Maps Into Sheets<\/h3>\n\n\n

      To keep everything organized, you’ll want to connect these API calls to a Google Sheet. Here’s the structure that works best:<\/p>\n\n\n

        \n
      • \nKeywords tab<\/strong>: Your query list (column A should be “keyword,” followed by one query per row).<\/li>\n\n\n\n
      • \nAIO_Results<\/strong>: Automatically populated with flags and source details whenever an AI Overview shows your brand.<\/li>\n\n\n\n
      • \nAI_Mode_Results<\/strong>: Similar output for AI Mode queries.<\/li>\n\n\n\n
      • \nGEO_AISummary<\/strong>: A running summary with charts that show how many queries triggered each AI surface.<\/li>\n<\/ul>\n\n\n

        Every time the script runs, it appends new rows with a timestamp. This means you can build a historical log that shows not just if you’re cited, but how that visibility changes over time.<\/p>\n\n\n

        Why This Matters<\/h3>\n\n\n

        Running the script multiple times per day helps you capture short-term swings, while daily runs build a reliable long-term view. Over time, you can:<\/p>\n\n\n

          \n
        • Track frequency and consistency of citations<\/li>\n\n\n\n
        • Compare citation order and positioning<\/li>\n\n\n\n
        • Spot patterns in volatility versus stability<\/li>\n<\/ul>\n\n\n

          Setting Up the Script<\/h3>\n\n\n

          In Google Sheets, you’ll add the script through Extensions → Apps Script. Before the first run, set your API key under Project Settings with the property name FETCHSERP_API_TOKEN. Once saved, paste in the script, reload the Sheet, and you’ll see a new menu option: GEO (FetchSERP) → Fetch AIO & AI Mode.<\/p>\n\n\n

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