The Dashboard provides a unified view of organic performance by merging two distinct data environments - traditional and generative search. This combined perspective allows teams to measure how Google’s ranking signals and AI-search visibility evolve together.
Google metrics (clicks, impressions, CTR, position) are pulled directly from verified Search Console and GA4 sources. Each chart and table reflects reconciled data, with conflict resolution rules ensuring that every metric is backed by ground truth evidence.
The Google layer helps identify:
By connecting GSC and GA4 at the page and query level, the Dashboard makes it possible to interpret SEO performance in a conversion context, not in isolation.
The second layer extends visibility into the AI-driven search ecosystem. Atomic collects and models signals from leading generative engines to show where your content appears, how often it’s cited, and how discoverable it is for LLMs.
Key metrics include:
This section makes early-stage AI discoverability measurable. Even when traffic is not yet attributable, you can track directional presence and model influence across engines.
Below the primary analytics panels, the Dashboard summarizes conversion outcomes, site health, and AI discoverability diagnostics. It cross-references performance with Atomic’s continuous audits - Technical SEO and LLM Audit, so that ranking or visibility losses can be traced to specific crawl, schema, or indexability issues.
When the data indicates anomalies or performance drops, Atomic suggests contextual actions-run a site audit, re-index affected URLs, or generate a visibility report. These actions are integrated within the same interface to maintain analytical continuity.
For analysts and SEO teams, the Dashboard functions as a search observability layer. It replaces fragmented monitoring with a single evidence stream across:
This alignment turns previously disconnected datasets into an operational feedback loop - where evidence, modeling, and automation coexist within one environment.
Google Search data is verified via GSC and GA4 APIs. AI search data comes from Atomic’s visibility detectors across ChatGPT, Perplexity, Claude, Gemini, and Copilot.
Each AI metric is labeled by confidence level. Evidence-based signals (clicks, mentions) are clearly separated from modeled visibility metrics to maintain transparency.
Google data syncs daily; AI visibility metrics update continuously as new prompts and mentions are detected.
Zero-Click pages indicate where your content is being used in AI answers without traffic attribution. Tracking them provides an early signal of brand presence and topic authority within AI search results.
Yes. Dashboard data integrates with the Reports module for custom templates (e.g., AI Visibility Pulse, Executive Weekly). Reports can be shared or automated for recurring delivery.
All GA4-sourced conversion events are linked to landing pages and queries, enabling visibility-to-conversion mapping across both search ecosystems.
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