Atomic AGI

[Atomic AGI @AtomicAGI]

[Product update] 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗼𝗿 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴 that helps you reverse-engineer your AI Search gaps.

You can now monitor high-performing competitors in AI search and structured website assets behind that visibility - on autopilot.

#seo #aeo #geo #aisearch #llm

[Mat Golubovic @matdegaulle]

https://t.co/vlhZJQZBQJ

[Mat Golubovic @matdegaulle]

[Data study] It looks like @claudeai is gaining real traction in B2B information search.

6–12 months ago, it was mostly associated with task execution.

Search functionality was largely dominated by @ChatGPTapp and @perplexity_ai.

That’s starting to shift, at least in B2B.

Click data from @OmniusSo, tracked in our analytics tool called Atomic AGI, suggests that.

- +76.2% QoQ growth
- Second-largest AI traffic source with 21%+ share
- Highest engagement across all LLMs (avg. session: 3:27)

What’s more interesting is what’s happening inside the models themselves.

Across our dataset of 11,000+ domains,
Claude frequently assigns 10–20 percentage points more visibility than ChatGPT to individual websites, with some gaps exceeding 40 points.

- Single domains often get 5–15%+ visibility in Claude while sitting at 0% in ChatGPT.

- ChatGPT keeps most domains in the 0–10% range, while Claude pushes many of those same domains into the 10–50% range.

When compared to other engines, Gemini and Perplexity behave much closer to ChatGPT than to Claude.

- Gemini usually stays within a ±5 percentage point range of ChatGPT.

- Perplexity is slightly broader, but still typically 5–10 points below Claude.

Both maintain relatively tight distributions, similar to ChatGPT. Claude is the only engine in the dataset that consistently breaks this pattern.

It assigns higher visibility scores, includes more domains with meaningful share (5%+), and distributes visibility across a wider set of sources.

This isn’t just a ranking difference.

ChatGPT, Gemini, and Perplexity concentrate visibility within a tight range and rely on a smaller set of larger websites.

Claude expands both the range and the pool of domains. Given Claude’s growth, this creates a clear SEO/AEO opportunity.

#seo #geo #aeo #claude #chatgpt #perplexity

[Atomic AGI @AtomicAGI]

Backlinks still matter.

But co-citation patterns are quietly becoming the stronger signal in AI retrieval.

If you repeatedly show up next to:
• canonical sources
• high-trust entities
• consistent topic clusters

You start getting pulled into answers by default.

It’s not about “being the best page”
It’s about being part of the trusted set

We’ve been mapping those relationships in Atomic AGI and it’s a very different view of authority.

[Atomic AGI @AtomicAGI]

[Update] @claudeai prompt tracking is now live.

If you've been analyzing your data in Atomic recently, you've probably seen Claude trending up on Clicks. 𝗧𝗼𝗱𝗮𝘆, 𝘄𝗲'𝗿𝗲 𝗮𝗱𝗱𝗶𝗻𝗴 𝗳𝘂𝗹𝗹 𝗮𝗻𝘀𝘄𝗲𝗿 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴 𝗶𝗻𝘀𝗶𝗱𝗲 𝗶𝘁.

#claude #aeo #aisearch #geo

[Atomic AGI @AtomicAGI]

Same prompt, three engines:

ChatGPT → cites vendors
Perplexity → cites aggregators
Gemini → leans toward publishers

Now tweak the prompt slightly and everything reshuffles.

If you’re tracking a handful of prompts per keyword, you’re looking at noise.

You need distribution-level visibility across models.

That’s basically the only way this data starts to make sense (and why we built it into @AtomicAGI)

[Atomic AGI @AtomicAGI]

Most teams are still optimizing only at the page level.

LLMs don’t.

They retrieve:
• specific passages
• tied to entities
• reinforced by surrounding co-citations

We’re seeing “average” pages outperform category leaders just because their retrieval units are cleaner.

If you’re not analyzing which chunks actually get cited, you’re guessing.

That’s been one of the more useful layers we’ve been pulling inside Atomic AGI

[Atomic AGI @AtomicAGI]

Want a full view of your AEO progress?

With AtomicAGI you can see clicks, visibility, and position, broken down by each LLM and prompt.

[Atomic AGI @AtomicAGI]

https://t.co/4JcYo2wdwl

[Atomic AGI @AtomicAGI]

Here's exactly how to track LLM citations compared to competitors:

1. Go to AtomicAGI
2. Connect GSC and GA4
3. Choose 'AI Search Optimizer'
4. Click 'Track Brand Citations'
5. Receive a report in 30 seconds

[Atomic AGI @AtomicAGI]

https://t.co/fJUar7ueJl

[Atomic AGI @AtomicAGI]

Think of a Content Strategist that finds content gaps and opportunities on LLMs in a single click.

That's exactly what's possible with the Content Strategist agent inside of AtomicAGI.

See how to take advantage of it below ↓

[Atomic AGI @AtomicAGI]

There's 7 specific ways to capitalize on Google AI overviews

And in our latest post we show you exactly how to do it:

https://t.co/qHiz2E1HJU

[Atomic AGI @AtomicAGI]

Run LLM audits automatically inside of AtomicAGI to see how well your website is optimized for AI search engines.

See performance, accessibility, best practices, SEO score, and content score.

Take a look below to see how it works.

[Atomic AGI @AtomicAGI]

https://t.co/YM6TYWC8XF

[Atomic AGI @AtomicAGI]

Make custom SEO + AEO reports in one click with Atomic AGI

Here's how to do it with our 'Reporting Specialist' AI agent ↓

Learn more about SEO AI agents from Atomic AGI at https://t.co/UkC4wN4rMG

[Atomic AGI @AtomicAGI]

@tibo_maker AtomicAGI - 12 pre-built SEO AI agents, along with workflow builder, and AI + traditional search citation tracker.

GA4 + GSC integrations with proprietary data

https://t.co/CM3K51oKJN

[Atomic AGI @AtomicAGI]

https://t.co/nVYlPSKlY1

[Atomic AGI @AtomicAGI]

Agents handle the repetitive SEO work.

That’s how companies grow without scaling headcount.

Learn more about all 12 Atomic Agents at https://t.co/UkC4wN4rMG

[Atomic AGI @AtomicAGI]

General LLMs like ChatGPT are powerful are not built for real SEO execution.

They give advice based on general knowledge, not your actual data...

Atomic AGI Agents work differently:

[Atomic AGI @AtomicAGI]

But the biggest difference: they execute.

Atomic Agents can automatically monitor AI search visibility, detect issues, identify pages to refresh, and deliver optimization recommendations.

Your team focuses on strategy.