Leverage the full potential of both Google & AI search.

Discover real-world use cases of Atomic AGI and how marketing teams use it to analyze search data, automate workflows, and solve visibility challenges across Google and LLM-based environments.
Rapid URL indexing
Rapid URL Indexing enables faster discovery and inclusion of new or updated pages across search engines, helping ensure that recent changes to your website are reflected in Google and AI search results without delay. The feature combines automated crawl detection, structured data validation, and indexing API submission to reduce lag between publishing and visibility.
AI SEO audit for improved LLM discoverability
The AI SEO Audit module evaluates how effectively website content is interpreted, indexed, and retrieved by Large Language Models (LLMs) such as ChatGPT, Gemini, and Claude. It measures key metrics including LLM Performance, Entity Trust Signals, and Content Structure Analysis, helping teams optimize their pages for machine comprehension and AI-driven visibility.
Technical SEO audit
The Technical SEO Audit module crawls your website to detect indexability, structural, and metadata issues that affect organic visibility. It provides detailed diagnostics on Site Health, Errors, Warnings, and Notices, along with a historical view of every audit performed. By combining scalable crawling with actionable prioritization, the audit ensures teams can resolve technical barriers before they impact search performance.
SEO conversion attribution & intent mapping
The SEO Conversion Attribution module connects organic visibility to measurable outcomes. It tracks Total Conversions, Organic Conversions, and Source Attribution across all search channels, including AI-generated traffic. By combining page-level behavior, referrer data, and intent classification, Atomic quantifies how each search source contributes to real business performance.
AI search competitor tracking
The AI Search Competitor Tracking module compares your brand’s visibility and ranking performance across generative search engines. It quantifies AI Visibility %, Average Position, and Mention Frequency against key competitors such as Moz, Ahrefs, and Semrush, enabling teams to benchmark how often and how prominently their domains appear in generative answers. The module provides an evidence-based framework for monitoring share of voice across ChatGPT, Perplexity, Gemini, and AI Overview ecosystems.
AI search prompt tracking
The Prompt Tracking module measures how your brand and content appear across generative AI search engines such as ChatGPT, Perplexity, and Google AI Overview. It tracks prompt-level visibility, average ranking position, and mention frequency across these ecosystems to quantify how AI models reference your domain. This enables teams to monitor generative discoverability with the same precision that traditional SEO applies to Google search.
AI search landing page analysis
The AI Search Landing Page Analysis module identifies and evaluates how individual pages perform across generative search engines. It measures AI clicks, conversion activity, and average session time at the page level, helping teams understand which URLs are visible, cited, or driving measurable engagement through AI-powered results. By connecting these metrics with Atomic’s evidence-based data model, this analysis transforms raw AI search visibility into actionable performance intelligence.
AI search click source analysis
The AI Search Click Source Analysis module quantifies how generative search engines contribute to your overall visibility and engagement. It isolates evidence-based AI clicks, conversions, and average session duration by source-covering ChatGPT, Perplexity, Gemini, Claude, Copilot, and emerging engines. The module enables analysts to measure directional traffic impact from each AI platform and compare how users interact with your content across multiple LLM ecosystems.
Evidence-Based AI search tracking
The Evidence-Based AI search tracking module provides verified visibility analytics across generative search engines like ChatGPT, Perplexity, Gemini, Claude, and Copilot. It measures how often your content is cited, how discoverable it is to AI crawlers, and how those appearances convert into measurable engagement. Unlike directional dashboards, Atomic combines evidence clicks, AI Visibility %, and AI Indexability % to quantify search presence with transparent confidence labeling.
Advanced Google SEO analytics
The Advanced Google SEO Analytics module extends standard Google Search Console capabilities by merging verified GSC and GA4 metrics into a unified analytical environment. It provides complete visibility into how pages, keywords, geographies, and devices contribute to organic growth, allowing teams to measure SEO performance within the broader context of user engagement and conversions.
Unified Google & AI search dashboard
The Dashboard is the central workspace for analyzing how your website performs across both Google Search and AI search engines. It combines verified analytics from GSC and GA4 with modeled signals from ChatGPT, Perplexity, Copilot, Gemini, and Claude - giving you a single evidence-based view of your visibility in the multi-engine search landscape.
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FAQs

Have questions?
Find answers.

What technical SEO issues does Atomic detect?

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Atomic runs full-site audits covering crawlability, metadata, content structure, indexing status, internal links, and LLM-relevant signals - helping you identify issues that affect both Google and AI-based search engines.

How does Atomic help with indexing?

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Atomic tracks page indexing in real time, monitors sitemap activity, and detects indexation gaps. It also offers rapid indexing tools to speed up inclusion in both traditional and AI search engines.

Does Atomic monitor Core Web Vitals and page speed?

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Yes. Atomic continuously tracks key performance metrics like load time, interactivity, and visual stability across devices, surfacing insights that directly affect your visibility and user experience.

Do I need to install anything on my website?

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No. Atomic operates externally — no scripts or installations are required. You can get started by simply connecting your data sources. No dev support needed.

 Does Atomic optimize for both traditional and AI search engines?

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Yes. Technical audits are designed to surface issues that impact visibility across both Google/Bing and generative engines like ChatGPT, Perplexity, and Gemini, covering structure, content signals, and performance.

How to get started with Atomic?

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You can create a free account and start tracking one project without needing a credit card. Setup takes minutes - no devs, no custom config. Just connect your sources, and Atomic begins enriching and analyzing your SEO and AI search data instantly.

Do I need technical skills to use Atomic?

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No. Atomic is built for marketers, SEOs, and growth teams, no engineering or technical background required. Everything is designed to be intuitive from day one.

Is my data secure with Atomic?

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Yes. Atomic is built with security and privacy by design. Your data is encrypted in transit and at rest, stored on GDPR-compliant servers in Germany, and never shared without your consent. We follow strict data minimization principles, and you stay in full control of what’s connected, stored, or deleted.

Can I use Atomic with my team?

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Yes. All paid plans support multiple users and include team management features such as permission controls, shared dashboards, and collaborative reporting.

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Integrate your data sources with Atomic in as little as 5 minutes.

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No custom development required

Integrate with Atomic, and get up & running in 5 minutes.

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