Category: AI Search Optimization

  • ChatGPT Atlas User-Agent: Why You’re Suddenly Seeing It in Your Server Logs

    ChatGPT Atlas User-Agent: Why You’re Suddenly Seeing It in Your Server Logs

    Website owners and SEO specialists scanning server logs in late 2025 are noticing an unusual new entry:

    ChatGPT%20Atlas/2025xxxx CFNetwork/xxxx.x Darwin/xx.x.x

    This is not a bot. It’s the user-agent of ChatGPT Atlas, OpenAI’s new AI-powered browser now rolling out globally for Mac OS Users on paid plans.

    Note: As per experimentation with my own website and data from my server logs, the above user agent is only accessing my Favicon and Logo.

    When using Atlas browser, the rest of the content and web-page is accessed through the below user agent which appears to be a chrome instance. This would make it hard to track and block ChatGPT Atlas browser. (Source: chrisrcook.com)

    Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_3) AppleWebKit/123.45 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36

    While the AI industry is discussing Atlas for its “agent mode” and automation features, very few developers or SEOs understand what this user-agent means when it shows up in access logs. This article explains it in a clear, technical but concise way as much as possible.


    What Exactly Is ChatGPT Atlas?

    ChatGPT Atlas is a standalone browser built by OpenAI that merges web browsing with live AI assistance. Instead of switching between a browser and ChatGPT, users browse the web inside ChatGPT.

    As more users adopt Atlas, your server logs will begin showing requests coming from this new browser.


    What the User-Agent Actually Means

    When you see a string like this:

    ChatGPT%20Atlas/20251112345678123 CFNetwork/1234.123.123 Darwin/12.3.4
    

    Here’s the technical breakdown:

    • ChatGPT%20Atlas → A normal space-encoded identifier (%20 = space)
      The request came from the ChatGPT Atlas browser, not Chrome, Safari, or Firefox.
    • Build Number (20251112345678123) → This is a unique version/build identifier.
      It represents the internal build OpenAI is running.
    • CFNetwork/xxxx → Apple’s networking framework used by macOS apps.
      This confirms the user is browsing through the macOS version of ChatGPT Atlas.
    • Darwin/xx.x.x → Darwin kernel version, the Unix foundation of macOS.

    Note: It’s not clear yet what’s the role of this user agent as I was unable to find any information on this user agent on the internet except the below one.

    If you want to know more about this user agent, go to useragents.io

    Important for SEOs:

    It is not a crawler.


    A Unique Feature: How Atlas Displays Search Results

    One of the biggest UX differences between using ChatGPT in Atlas and in traditional browsers: the way search results are displayed.

    1. AI-Generated Answer With Direct Citations (Top Section)

    When a user asks something (e.g., “best project management tool for 2025”), Atlas instantly generates a structured answer.
    At the top, it shows:

    • Key points
    • Summaries
    • A neatly formatted table
    • Clickable source cards from the web-pages it used (This is not shown if you use ChatGPT in other browsers such as Chrome or Safari). However, this source card will only show up up ChatGPT uses web based retrieval for the prompt. If the web-based retrieval is not used then clickable source card with the below mentioned featured will not show up.

    These source cards appear above the AI answer.

    2. “Globe Icon” Tab = Classic Search Results (Like Google)

    Users can tap the 🌐 Globe icon to switch to raw web search results. This feature is only available when you are using ChatGPT through Atlas browser. You will not see this feature when you use chatGPT through Google Chrome or any other browser.

    This tab shows:

    • Ten blue-link results
    • Titles
    • Meta descriptions
    • URLs
    • Exactly like a Google SERP

    So Atlas delivers two layers of search:

    3. Image, Video and News Tabs – Additional Search Layers

    Next to the Globe icon, Atlas also provides Image, Video and News tabs, similar to Google’s vertical search options.

    These tabs allow users to switch between content formats without leaving the chat:

    • Image Tab: Infographics, dashboards, screenshots, comparison graphics
    • Video Tab: Reviews, product demos, tutorials, walkthroughs mainly from Youtube
    • News Tab: Latest announcements, industry updates, product news

    Together, these layers make Atlas feel like a complete search engine, not just an AI assistant.


    Why This Matters for SEO Professionals

    1. Atlas Is Becoming a New “Referrer Type”

    Expect to see more sessions from the below two user agents in your server logs:

    ChatGPT%20Atlas/2025xxxx CFNetwork/xxxx.x Darwin/xx.x.x
    Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_3) AppleWebKit/123.45 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36

    Its not clear yet what’s the role of the first one. However, the second one signifies real users viewing your site inside ChatGPT Atlas browser.

    2. AI-Driven Summaries Equal New Competition for SERP Visibility

    Atlas directly summarises your content similar to chatGPT but the responses may vary.
    Structured content, Q&A formatting and clear headings increase the chance of being selected as a cited source.

    3. Content Must Be AI-Readable and Human-Readable

    Atlas does both:

    • Summarises your page
    • Shows raw search results
    • Displays visual and news layers

    Your optimisation strategy must therefore serve all layers:

    • AI summaries
    • Web results
    • Images
    • Videos
    • News

    Clean content structuring, internal linking and topical depth are now essential.

    Source: https://openai.com/index/introducing-chatgpt-atlas/

    Thanks for reading this Article!

  • KPIs for the Future of AI Search Optimization: The Metrics That Matter in 2025 and beyond

    KPIs for the Future of AI Search Optimization: The Metrics That Matter in 2025 and beyond

    The KPIs for SEO in the AI Search era require a dramatic shift in mindset and measurement. Instead of traditional metrics like clicks and keyword rankings, future-forward KPIs focus on visibility, influence, and impact within AI-driven environments where answers, not just links, rule the SERP landscape.

    Why the Old KPIs Are Fading

    Classic SEO KPIs such as click-through rates and organic sessions are declining in value as search evolves toward more answer-centric experiences powered by generative AI. In these environments, users may receive complete answers and brand impressions without ever visiting your website. That means “zero click” performance and AI driven citations become essential signals of success.

    The New Core KPIs for AI SEO Success

    Here are the most critical modern KPIs for AI-driven search optimization in 2025, reflecting current industry consensus and the latest strategic frameworks:

    Legacy KPI Modern AI Native KPI Explanation
    Organic Traffic Answer Visibility / Zero-Click Presence Measures whether your brand/content appears in AI Overviews, ChatGPT, Perplexity, featured snippets even without generating clicks.
    Keyword Rankings Embedding Relevance Score Tracks semantic match between your content and user queries via vector embeddings essential for LLM visibility.
    Click-Through Rate (CTR) Brand Recall & AI Citation Count Number and quality of times your brand/content is mentioned in AI answers across platforms. Build authority and awareness beyond blue links.
    Bounce Rate / Session Duration Engagement Quality & Interaction Metrics This moves beyond flawed metrics like bounce rate, which often mislabels a successful single-page visit as a failure. Instead, it tracks positive user actions that signal value, such as scroll depth (>75%), time-on-page (active reading), content shares, saves, and direct interactions with on-page tools like calculators or chatbots.
    Backlinks Vector Index Presence Rate Measures how much of your content is indexed in vector databases, a new form of technical SEO to maximize retrievability.
    Crawl Budget Optimization Crawl Efficiency & Bot Interaction This evolves the traditional practice of optimizing for Googlebot. By analyzing server logs, you now track how all bots—including new AI crawlers like Google-Extended and others AI bots interact with your site. The goal is to ensure these bots can efficiently access your most important content to use as a source for AI generated answers, while not wasting resources on low value pages.
    Conversions Multi-Touch Contribution & Attribution Rate Tracks how many conversions your content influences across multiple touchpoints, including AI responses, snippets, and journey assists.

    Essential Emerging Metrics Explained

    • Chunk Retrieval Frequency: Monitors how often modular segments (“chunks”) of your content are fetched by AI in response to user prompts. A higher frequency means better visibility in retrieval-augmented search environments.
    • Embedding Relevance Score: Assesses the similarity between your content embedding and query embedding, signifying semantic value and answer accuracy.
    • AI Citation Count: Tallies your brand’s total references within AI-generated answers, crucial for trust and authority as LLMs increasingly curate the SERP.
    • Vector Index Presence Rate: Quantifies the portion of your site indexed into AI vector databases miss it, and you miss retrieval opportunities.
    • Retrieval Confidence Score: Reflects AI system certainty in selecting your content. High confidence boosts inclusion in machine-generated results.

    Influence and Impact: The Next Layer

    In the AI search pipeline, it’s no longer enough just to rank, you must optimize for each stage:

    • Intent: Is your content recognized as relevant to user needs by AI engines? Embedding quality, recall, and vector indexing matter.
    • Influence: How often is your brand mentioned, cited, or surfaced in machine-led answers? Track citation, attribution, and share of visible answer spaces.
    • Impact: Are users converting, engaging deeply, or searching for your brand after exposure? Multi-touch attribution and engagement metrics are vital.

    Strategic Recommendations for AI SEO

    • Structure content for embedding clarity and semantic relevance.
    • Invest in visibility tools for tracking your performance across AI surfaces, snippets, and answer engines.
    • Monitor not just what gets clicked, but what gets shown, cited, and summarized.
    • Update reporting dashboards to include both traditional and AI-native KPIs for holistic measurement.

    The future of AI SEO is all about being seen, cited, and influential. Start tracking these next-generation KPIs now to future-proof your strategy in a landscape where answers, not just clicks, define success.

    Sources:

  • Why AI Search crawlers can’t access client side rendered content and how to fix it

    With the rise of AI-driven search engines such as ChatGPT, Perplexity, and Gemini, understanding how your website content is rendered has become more important than ever.

    Traditional SEO best practices already emphasised indexability for Googlebot but AI crawlers behave differently.

    Recent tests, including a case study on aisearchoptimization.in
    , reveal that AI crawlers often fail to process content loaded using Client-Side Rendering (CSR). In other words, if your data appears only after clicking a button or through JavaScript, AI bots might never see it.

    1. How AI Crawlers Work

    AI crawlers such as those from ChatGPT, Perplexity, and Gemini typically:

    • Fetch a page’s HTML source code directly from the server.
    • Parse visible text and meta data.
    • Use large language models (LLMs) to summarise, categorise, and store information for future retrieval.

    However, these crawlers generally don’t execute JavaScript.
    That means if your content is loaded dynamically after page load, it doesn’t exist in the HTML snapshot the crawler receives.

    2. The Problem with Client-Side Rendering

    Client-Side Rendering (CSR) is when content is generated on the user’s browser via JavaScript frameworks such as React, Vue, or Angular.

    <div id="ai-stats"></div>
    <script>
      fetch('/api/ai-data')
        .then(response => response.json())
        .then(data => document.getElementById('ai-stats').innerHTML = data.stats);
    </script>

    To a user, this looks fine the stats appear after a button click.
    But to an AI crawler (or even a basic SEO bot), the HTML it fetches might look like this:

    <div id="ai-stats"></div>

    Result? Empty content.

    This is exactly what happens with some AI crawlers, the crawlers can’t see the dynamically loaded numbers unless they’re present in the HTML at load time.

    3. Why It Matters for AI Search Optimisation

    AI search engines rely on content visibility rather than traditional link crawling.
    If your critical data (like pricing, reviews, or research stats) is missing from the HTML:

    • AI tools won’t cite your content in responses.
    • Your brand’s authority in generative answers decreases.
    • Organic AI traffic (from ChatGPT or Perplexity) may drop dramatically.

    In short, if AI can’t read it, you don’t exist in the AI index.

    4. The Solution: Server-Side Rendering (SSR) or Static HTML

    To make your content AI-friendly:

    Approach Description Benefit
    Server-Side Rendering (SSR) Render full content on the server before sending it to the browser. AI crawlers can read all content instantly.
    Static HTML Export Pre-render your React/Vue components as HTML (e.g., with Next.js getStaticProps). No JS execution required by crawlers.
    Hybrid Rendering Combine SSR for content and CSR for interactive UI elements. Balance SEO visibility and user experience.

    5. Quick Fix Checklist

    ✅ Ensure all essential text appears in the raw HTML source (right-click → “View Page Source”).
    ✅ Use Server-Side Rendering (SSR) for your main content.
    ✅ Avoid loading key text only after button clicks or fetch calls.
    ✅ Test pages with AI crawlers.
    ✅ Validate visibility using AI-Search engines.

    6. Key Takeaway

    To be visible in the age of AI Search, your content must live in the HTML, not in JavaScript.
    AI crawlers are getting smarter, but they still can’t “click”, “scroll”, or “wait for scripts” like human users can.

    The simplest way to future-proof your site for AI visibility is to adopt Server-Side Rendering (SSR) or static HTML generation.

    🧠 If AI can’t read your content, it can’t recommend you.

    Make Your Brand Visible to AI Search Engines

    Don’t let client-side rendering hide your valuable content. Ensure AI crawlers can read and recommend your website.

    Contact Us
  • Robots.txt and noindex robots meta tag might not be the best way to block AI Search Crawlers

    I recently conducted an experiment on my test website. I applied the noindex meta robots tag to every page of the site. Then, I prompted several AI search engines to extract specific information from the website and observed the responses.

    For this scenario, let’s consider my test website to be domain.in.

    The prompt I used was: “What services does https://www.domain.in/ offer as a business? Please check the website directly before answering.”

    Key Findings

    • ChatGPT: Accessed the site’s content, as indicated by the ChatGPT-User/1.0 agent in my server logs (+https://openai.com/bot), and accurately quoted the requested information.
    • Perplexity: Did not retrieve any content from the website, suggesting it honors the noindex meta tag. Its response explicitly stated that direct website access is unavailable and that no content from the test site appears in search results.
    • Claude AI: Successfully obtained the required answers. The server logs showed the user agent Claude-User/1.0; +Claude-User@anthropic.com.
    • Google AI Mode: Generated fabricated information unrelated to the actual site content. This indicates it primarily relies on Google’s search index during its query process.
    • Deepseek AI: Could not access any content from the test website. Its response specified that it doesn’t browse the web directly and depends entirely on search results.
    • Qwen AI: Managed to retrieve content from the website, but its server logs revealed it used a HeadlessChrome browser rather than a specific user agent.

    This shows to me that adding noindex meta robots tag is not a safe way to block web-pages from AI Search engines.

    So after doing the above I had another test website where i added the below in my robots.txt which basically disallowed all the bots from accessing the website.

    User-agent: *
    Disallow: /

    However, even after adding the script, I used the below prompt to ask question about this new test website.

    Prompt: what services does https://www.domain.com/ as a business provide. Please check the website now and then only let me know. as they have updated their website What makes them different and why should i choose them.

    ChatGPT (specifically ChatGPT-User Agent as appearing in the Server Logs) was able to access my website and was able to quote the information as i asked in the prompt.

    I also tested the same prompt in other AI Answer engines but all the rest were not able to fetch any content from the website. Please see the findings below for more info.

    Claude AI: It specifically said that its unable to access the website directly as it appears to be blocked by robots.txt rules. This shows that it abides by the robots.txt rules.

    Perplexity AI: It wasnt able to get any information from the website. It implies that it respect the robots.txt rule.

    Deepseek: It wasnt able to get any information too. It gave the following response with some related information.

    Based on the search results provided, I do not have specific information about the services offered by https://www.domain.in/, as this particular website was not included in the search results. However, I can provide a general overview of what a typical AI Search Optimization Agency might offer based on the industry trends and common services described in the search results.

    It just shows that Deepseek relies on Search results from certain search engines.

    Google AI Mode: Wasn’t able to provide any information from the website.

    Qwen AI: Wasn’t able to provide any information from the website.

    This implies to me that even when you use robots.txt Disallow rule, its upto the AI Search Engine bot to respect it or not. So if you’re serious about this, you should use services like Cloudflare to block these bots which actively block these bots by identifying their IP Address and other criteria.

  • How to access website server logs in Hostinger Hpanel

    Do you know that you can access your website server logs or access logs in Hostinger Hpanel even for Starter Plans?

    If not then please have a read and at the end you would be able to access the Server Logs and able to find any 4XX and 5XX errors from your logs.

    Please follow the below steps as mentioned.

    1. First Login to your Hostinger account.
    2. Select your Hosting Package and Click on Manage
    1. Now select the website from the dropdown which appears in top portion of left hand vertical menu.
    2. Click on Analytics which appears on the second vertical menu from the left as shown below.
    Hostinger Hpanel Left hand menu
    1. Now click on Access logs Tab as shown
    Fig: Access Logs Tab inside the rectangular box

    This is were you will get see all your logs. You will be able to see the time when your website was accessed, IP Address, Country, Device/User Agent and Response Time.

    You can access what kind of bot accessed your website. For AI search engine optimization, we can specifically look at user agents such as GPTBot, ChatGPT-User, Google-Extended, ClaudeBot, PerplexityBot and many others. You can get an idea which pages these bots are requesting and which they don’t. This will give you an idea about the pages served in AI search results on these platform. Additionally you can also check the response time column to get an idea if the response time is healthy or certain pages are taking long time to respond to these bot requests.

    Note: You can’t export the Server logs from here and can only access a maximum of Last 7 days log data.

    Finding Error Logs

    1. Go through the Error Code 5xx tab to find all the pages having internal server errors. This will help you to find and resolve the issue which these AI bots are facing while accessing your web-pages
    2. At last, Go through the Error Code 4xx tab to find any broken pages. This will help you to either fix these pages or redirect these broken links to closely related web-pages.

    Once you have access to server logs, you can run various analysis on the data and find various issue and resolve it. If you are interested on how to do the analysis, please go through this Log Files Analysis guide by Matt Diggity.