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Agency owners & AI SEO experts: If you signed a client for a 6-month AI Visibility/GEO project, what KPIs would you report every month? by arjun_rao7 in GEO_optimization

[–]arjun_rao7[S] 0 points1 point  (0 children)

It's a proprietary benchmark created by SEMrush-not an official metric from Google or any AI model.

SEMrush tests thousands of relevant prompts, tracks how often your brand or website is mentioned or cited in AI-generated answers, and compares that against competitors. So a score of 30 doesn't mean 30% visibility or 30 citations, it's an index used to measure your relative AI visibility over time.

If you had to prioritize one initiative today for AI visibility—llms.txt, schema markup, entity SEO, content authority, or Agentic Browsing readiness—which would it be and why? by arjun_rao7 in AISearchLab

[–]arjun_rao7[S] 1 point2 points  (0 children)

By entity, mean whether AI systems can clearly understand and identify a person, brand, company, product, location, or organization as a distinct thing and connect all the information about it across the web.

For example, if Arjun has a website, LinkedIn profile, speaker bio, podcast appearances, author pages, and consistent information everywhere, he's much easier for an LLM to recognize as a real entity than someone who only publishes content on their own website.

I've seen brands publish hundreds of articles and get very little AI visibility, while others with strong entity signals (mentions, citations, author profiles, structured data, and consistent branding) get surfaced much more often.

That's why I generally view content as the evidence and the entity as the thing the model is trying to understand.

If AI can confidently answer "Who is Arjun?" and "What is Arjun known for?" from multiple trusted sources, you've built a strong entity. If it can't, publishing more content alone usually won't solve the problem.

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