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From Rankings to Recommendations: Closing the M...

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From Rankings to Recommendations: Closing the Measurement Chasm

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Athens SEO PRO

May 27, 2026

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  1. Check out ML for SEO on how to interrogate this

    data https://academy.mlforseo.com/product-category/courses/
  2. Q1) Are we recognised as a brand? Q2) What are

    we known for? Q3) Do we show for our key attributes? Prompts need to answer these questions:
  3. Q1) Are we recognised as a brand? Q2) What are

    we known for? Q3) Do we show for our key attributes? Prompts need to answer these questions:
  4. Question: Are we recognised as a brand? Prompts: “What do

    you know about [brand]?” “Who are [brand]s competitors?” Tip: Try this with web search turned on and off
  5. Question: What are we known for? Prompts: “What is [brand]

    known for?” “What do [brand] sell?”
  6. Question: Do we show for our key attributes? Prompts: What

    is [brand]s unique selling points? I am [person Y], looking for [service], is [brand] a good choice?
  7. Question: Are we recommended? Prompts: What is the best brand

    for [service]? I am [person Y], looking for [service], what are some brands I should consider?
  8. Question: How often do we show up? Check if you

    are: • Actively recommended • Included as an option • Only mentioned in passing • Missing
  9. Question: How do we show up? Check the sentiment and

    context: • Leading recommendation • Neutral mention • Wrong or misleading
  10. Question: How do we show up? Check where and how

    you appear • Opening paragraph • Bullet point • Caveat • Source citations
  11. Question: Where do we need to be mentioned? Extract: •

    Extract source domains • Find gaps where you aren’t mentioned
  12. Thank You! Jonathan Moore Technical SEO and Analytics Consultant Hire

    me! https://www.linkedin.com/in/moorejonathan/