How to Win “Best X Tools” Queries: A Guide to GEO & AIO

How AI Agents Decide What Is “Best”

AI agents do not evaluate tools the way humans do. They detect patterns across large volumes of content.

Inclusion tends to correlate with:

• Clear and repeated category association

• Strong entity authority

• Frequent third party citations

• Consistent sentiment signals

• Structured, comparable information

In simple terms, they reward coherence.

If your brand is described inconsistently, loosely associated with a category, or rarely referenced by trusted sources, your inclusion probability drops.

The Core Strategies for AI Shortlist Inclusion

1. Establish Clear Entity Authority

Before your brand can be recommended, it must be categorised correctly.

If your homepage says one thing, your product pages say another, and third party articles describe you differently, AI agents struggle to confidently associate your entity with a specific category.

Instead of describing your company as an “AI powered platform,” define the exact category you occupy, such as “Generative Engine Optimization platform” or “AI visibility management system.”

Specific category language strengthens entity association.

2. Increase Citation Worthy Presence

AI Search Visibility is deeply influenced by third party reinforcement. Brands that appear repeatedly across industry publications, reviews, and comparison articles are more likely to be included in recommendations.

This is not about a single high authority backlink. It is about distributed, contextual mentions across multiple credible environments. Repeated contextual mentions create recognisable entity patterns.

3. Structure Content for Comparison

AI models extract structured information more reliably than narrative content.

Comparison tables, use case segmentation, and “best for” explanations make it easier for AI systems to position your brand within a category.

When your positioning is precise and structured, AI agents can confidently include you in evaluation responses.

4. Cover Evaluation Sub Queries

A query such as “best AI visibility tools” rarely stands alone.

AI agents internally expand it into related evaluation angles such as "best for enterprise", "most scalable", or "most affordable". If your content does not address these dimensions, competitors will fill the gaps.

The deeper your coverage across evaluation angles, the more resilient your inclusion becomes.

A Real Example: Winning “Best Running Shoes” Queries with Maxeo

To see how this works in practice, imagine you are responsible for digital marketing at a global sportswear brand.

Your goal is to ensure your products appear when AI agents generate recommendations for "best running shoes".

Step 1: Track evaluation queries

Inside Maxeo, you create a cluster of prompts related to running shoe recommendations, such as:

• What are the best running shoes for long distance running?

• What are the top running shoes for marathon training?

• Which brands make the best running shoes for beginners?

• What are the most comfortable running shoes for daily training?

Maxeo monitors these prompts across AI agents and records the responses.

You can immediately see which brands appear in the recommendations, how frequently each brand is mentioned, how the products are described, and which sources influence the answer. This establishes your AI discoverability baseline.

Step 2: Measure inclusion and share of voice

Once the prompts are tracked, Maxeo measures how often your brand appears compared to competitors through AI share of voice.

For example, you might discover:

• Your brand holds 18% share of voice across running shoe recommendation queries

• Competitor A holds 42% share of voice

• Competitor B holds 27% share of voice

Instead of guessing whether AI agents recommend your products, you now have measurable insight into your AI visibility and how it compares to the rest of the category.

Step 3: Diagnose the visibility gap

Maxeo highlights patterns explaining why certain brands appear more frequently.

You might discover competitors benefit from:

• stronger presence in running gear reviews

• more citations in marathon training articles

• clearer positioning for specific running scenarios

• structured comparison content across sports blogs

These signals influence how AI agents construct recommendations.

Step 4: Take targeted action

Based on these insights, the marketing team can focus on the improvements most likely to strengthen inclusion.

This might include:

• clarifying product positioning for different running use cases

• strengthening presence in trusted running publications

• publishing structured comparison content for marathon and long distance shoes

• increasing expert reviews and athlete endorsements

Each action strengthens the signals AI agents rely on when generating shortlists.

Step 5: Track improvement over time

As authority signals strengthen, Maxeo continues monitoring the same query cluster.

Over time you can observe:

• higher inclusion across recommendation queries

• increased share of voice in AI generated answers

• clearer alignment between AI descriptions and your brand positioning

This is how AI visibility becomes measurable and manageable.

Final Thoughts

If your growth depends on being shortlisted during evaluation moments, “Best X Tools” queries are no longer just marketing opportunities. They are visibility infrastructure.

The real question is not whether you rank. It is whether AI agents include you when they define what is best.

If you cannot measure that inclusion, you are operating without control.

Maxeo helps teams establish a clear baseline, track AI-generated shortlists across platforms, and turn discoverability into a managed capability.

Start by establishing your baseline with our free AI visibility report →