> ## Documentation Index
> Fetch the complete documentation index at: https://docs.makemerank.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Action Recommendations

> Implement prioritized measures from your analysis

## Prioritized Measures

In the Full Report you see a list of action recommendations. Each recommendation is assigned to an **E-E-A-T principle** (Experience, Expertise, Authoritativeness, Trustworthiness) and traceable to concrete findings from the analysis.

The recommendations are generated by **Flagship models** based on the **three analysis strands** (technical audit, visibility, recognition), taking **best practices** into account. This **multi-stage approach** produces better results: the context can be deliberately **reset** between steps and/or **filled with concrete findings**, so the AI grounds its recommendations in facts rather than assumptions.

## Categories

| Category      | Focus                                                          |
| ------------- | -------------------------------------------------------------- |
| **Technical** | llms.txt, robots.txt, Schema, crawlability, structured content |
| **Content**   | Q\&A patterns, answer blocks, headings, text clarity           |
| **Authority** | Sources, E-E-A-T signals, external mentions                    |

## Effort Levels

* **Quick Win** – Quick to implement, direct effect
* **Medium** – More effort, medium leverage
* **Strategic** – Long-term measures with high impact

## Understanding Priorities

* **High:** Good leverage – often technical or structural.
* **Medium:** Content adjustments or new articles.
* **Low:** Fine-tuning – tackle after the important points.

## Typical Recommendations

### Technical

* Create llms.txt and fill it with clear statements about brand, offering, and relevant pages
* Check robots.txt – don’t block important AI bots (GPTBot, ClaudeBot, PerplexityBot)
* Schema.org / JSON-LD for Organization, Person, FAQ
* Don’t hide important text in tabs/accordions – AI may overlook it

### Content

* Q\&A formats and clear answer blocks for AEO/GEO
* Formulate heading and intro text more clearly – make search intent recognizable
* Present comparisons and recommendations in a structured way

### Authority

* Strengthen E-E-A-T signals – author bio, verifiable info, sources
* Consistent presentation across all channels – brand, description, expertise

<Callout icon="lightbulb" color="#00D1A7">
  Start with 2–3 high-priority measures. Then you can run another analysis to measure progress.
</Callout>