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Murillo Rennó
Murillo Rennó

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What Carries More Weight in AI Recommendations: Schema, Testimonials, or Topical Authority?

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What Carries More Weight in AI Recommendations: Schema, Testimonials, or Topical Authority?

As AI-driven search and recommendations become more common, a question keeps coming up:

What actually matters more?
Schema markup, Testimonials / reviews, Topical authority

From what I’ve been observing in practice, the typical order looks like this:

  1. Topical authority
  2. Schema markup
  3. Testimonials / social proof

And there’s a technical reason behind this.

Topical authority usually comes first

AI systems like Google AI Overviews, ChatGPT, and Perplexity are moving toward semantic understanding, not just keyword matching. They try to identify which sites consistently demonstrate expertise on a topic.

This usually happens when a site has:

  • Broad topic coverage
  • Clear content structure
  • Internal linking between related pages
  • Consistent terminology

When these signals are present, the domain is more likely to be interpreted as a trusted source.

Schema helps AI interpret content

Schema markup doesn’t create authority, but it reduces ambiguity.

Using structured data (like JSON-LD) helps AI systems understand:

  • Entities
  • Services
  • Relationships
  • Location context

This makes content easier to parse, especially when combined with strong topical authority.

Testimonials act as validation

Testimonials and reviews tend to work as trust validation signals.

This becomes more relevant in queries like:

"best agency"
"recommended company"
"who should I hire"

In these cases, AI systems often consider:

  1. Review volume
  2. Average rating
  3. Consistency of feedback

A practical example

I’ve noticed this happening with my own agency.
Webby Propaganda tends to appear more frequently in local AI recommendations, and one factor seems to be the number of positive reviews compared to competitors.

Locally, we have more testimonials and a higher rating, which likely strengthens trust signals for recommendation systems.

This doesn’t replace topical authority or schema, but it works as an additional trust layer.

As AI-driven recommendations evolve, visibility increasingly comes from the combination of:

  • Topical authority
  • Structured data (schema)
  • Consistent social proof

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