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AI Analytics: Why your measurement framework must evolve


Richard Dixon


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The rise of AI is reshaping how people discover, consume and interpret corporate content. In 2025, analysis we ran showed that AI bot scrapes surged by 1,200%, with 400× more scrapes than referrals. We also see data showing 60% of all searches were clickless, as users increasingly took answers directly from AI summaries. At the same time, the emergence of AI‑native browsers such as Comet and Atlas, and the addition of Gemini into Google, has begun to shift browsing behaviour even further, introducing a new layer of AI‑mediated discovery.

This shift means that while an organisation’s website remains a key source for content, the majority of the consumption of that content now happens on third-party platforms. Your site fuels the AI summaries, snippets and citations consumed by audiences who may never visit your ecosystem directly. As a result, how you measure visibility and performance must evolve.


Shifting need to adjust analytics

For years, analytics frameworks operated on a simple assumption: discovery leads users to your website, and you measure what happens once they arrive. But that world has changed. Today, AI systems are discovering, scraping, interpreting and distributing your content independently, creating a parallel layer of engagement that traditional tools cannot fully see.

Your website remains a vital asset, but its influence now extends far beyond your owned ecosystem. The data in your reporting tools reveals only a fraction of the story, while the real narrative is unfolding across AI models and AI‑driven interfaces that sit entirely outside your infrastructure.


The Changing Landscape: Looking beyond your managed ecosystem

As AI search becomes mainstream, much of your content’s impact is no longer captured in pageviews or sessions. AI tools ingest pages, extract key messages and rewrite them into answers that reach users without generating traffic. In this environment, your analytics must expand beyond what you own and control.

Relying solely on your traditional analytics tools will now give you only part of the picture. The unseen portion, how AI interprets your content, how often it is scraped, and how your corporate story is being retold, is becoming just as important.


The questions you now need to be able to answer

This new model requires clarity around interactions you previously never had to measure. To stay in control of your corporate story, you must now be able to answer questions such as:

  • Do you know how your corporate story is being delivered through AI channels?
  • Which AI tools (ChatGPT, Perplexity, Gemini) are most actively using or citing your content?
  • Is your site being viewed in the new AI browsers such as Comet, Atlas?
  • Is AI now the biggest audience for your website content? How does scrape volume compare to human traffic?
  • How much content is AI scraping from your site, and from which pages?
  • Is AI referring traffic back to your site, and if so, where?
  • How engaged are users arriving through AI‑driven paths?

These are fundamental to understanding your true audience, human and machine, and to understanding how your messages are being reconstructed across AI interfaces.


The Insight Gap: AI gives you less than SEO

SEO has long given you a wealth of data: search volumes, keyword performance, rankings, competition. AI search offers none of that transparency. You cannot (yet) see:

  • The prompts users typed
  • How often your content was surfaced
  • Where you rank in an AI‑generated answer
  • How frequently you are cited
  • Whether competitors are being favoured

The AI landscape has become a black box, and organisations need new approaches to generate visibility where the platforms do not provide it.


How can you get this data?

1. Use Analytics

Traditional tools still play an essential role. Platforms like Google Analytics increasingly surface AI referrals and AI browser traffic, allowing you to analyse AI‑driven audiences in the same way you analyse traditional search traffic.

This gives you a baseline: how users arrived, how they behaved, where they went next, and how their engagement compares with other acquisition channels.

2. Look at Technology Data

Your hosting, security or publishing layer often logs bot activity in far greater detail than analytics platforms. These logs can help you understand:

  • How often AI tools scrape your content
  • Which bots are doing it
  • Which pages are most frequently accessed
  • How scrape patterns evolve over time

3. Bring It All Together

When you combine these sources - traditional analytics, AI referrals, bot logs and GEO‑related indicators - you gain a more complete view of how your website is performing in both human and AI ecosystems.

With the right tools, this can be integrated into a single dashboard, giving you:

  • One source of truth
  • Clarity across audiences you own and audiences you don’t
  • Visibility of how your corporate narrative is being retold
  • Insights to optimise both human and machine readability

It aligns perfectly with the trends already shaping digital communication: smarter, more connected analytics that give organisations a clearer understanding of how their content performs beyond the website alone. 


Analysing your AI Authority

A growing part of this ecosystem is your AI Authority - how trustworthy, clear, structured and reliable your content appears to AI systems.

Analysing your AI Authority helps you understand:

  • How accurately AI describes you
  • How consistently your messages appear
  • What content AI relies on most
  • Where misinterpretations happen
  • How you rank against competitors in AI‑generated outputs

It’s fast becoming a foundational part of managing your brand in an AI‑driven world.


How Black Sun can help

Making sense of the new AI search landscape is challenging, but you don’t need to navigate it alone. We help organisations bring clarity to an increasingly complex ecosystem by combining traditional analytics with AI-specific insights to give you a complete view of your digital performance.

Our AI + GA Analytics Services
We work with you to uncover how AI tools are accessing, interpreting and distributing your content - integrating AI referrals, scrape activity and GA data into a single, tailored dashboard. This gives you clear, actionable insight into how both humans and machines engage with your corporate story.

Our AI Authority Analysis
We also analyse how accurately AI represents your business, identify the pages and messages most used by AI models, and pinpoint opportunities to strengthen your visibility, accuracy and trust signals. This helps you take control of your narrative across AI-driven channels.

If you’d like to explore how we can support your AI performance, analytics, and digital performance and visibility, please get in touch and we’d be happy to help.

Abbie Dixon, Relationship Marketing Executive
adixon@blacksun-global.com


About Black Sun

Black Sun Global is a stakeholder advisory and engagement agency that's been driving transformation and positive change for ambitious brands for more than 20 years. With deep expertise in disclosure and reporting, ESG, sustainability, and digital engagement, we reshape how organisations connect with customers, investors, employees, and the wider world. 

We are trusted partners to some of the most influential global organisations, sparking innovation and sustainable performance through our strategic insights, partnerships, and proprietary technologies.

As founders of the Positive Change Group, we are on a mission to create a new kind of stakeholder relations partner. Our world-class specialists work closely with executive leadership teams to protect reputations, inspire trust, and promote responsible business practices - building resilience and long-term value in a rapidly changing world.

For more information, please visit: www.blacksun-global.com





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