Can I see if AI tools already mention my business?

Yes, you can test this by asking relevant questions about your industry and services to ChatGPT, Gemini, and Perplexity. AIFAIS also offers a free GEO quick scan where we systematically test this for you and report the results.

What is the difference between llms.txt and robots.txt?

Robots.txt tells web crawlers which pages they may and may not index. Llms.txt is specifically for AI models and contains structured information about your business, services, and expertise that AI models can directly use in their answers.

How long does it take for AI tools to pick up my optimized content?

This varies by platform. ChatGPT and Perplexity with web browsing can pick up new content within days. For inclusion in the trained knowledge of AI models, it can take longer. On average, you see the first improvements within 4 to 8 weeks.

Is AI discoverability also important for B2B companies?

Certainly. Business decision-makers increasingly use AI assistants for research and supplier selection. Questions like 'Which agency in the Netherlands can help me with AI implementation?' are asked daily to AI tools. B2B companies that are visible here have a significant competitive advantage.

Do I need to modify my existing content for AI?

Often, modifying existing content is sufficient. By adding concrete facts, structuring content in question-and-answer format, and implementing structured data, you make existing pages suitable for AI discoverability without having to rewrite everything.

GEO & Discoverability

Getting Found by AI: 10 Steps for More Visibility

Last updated: March 15, 2026

Quick answer

To get found by AI, your content must be structured, trustworthy, and consistent. AI models select sources based on authority, structured data, and direct relevance. Businesses with citation-optimized content see an average of 45% more AI mentions.

How do ChatGPT and Gemini find information? 3 phases

AI models use Retrieval-Augmented Generation (RAG) to find, evaluate, and process sources into answers.

Phase 1 — Retrieval: the system searches the web at the moment a user asks a question
Phase 2 — Evaluation: the AI model weighs relevance, trustworthiness, and content quality of sources
Phase 3 — Generation: selected sources are synthesized into a coherent answer
AI models don't simply adopt Google's top results — they apply their own selection criteria
Factors that matter: content quality, source reliability, information consistency, and direct relevance
Your business only appears in AI answers if your content meets the model's selection criteria
Pre-trained knowledge + real-time retrieval together determine which businesses get recommended

Citation optimization: 5 techniques for more AI mentions

AI models prefer sources they can cite — verifiable and specific.

1. Use concrete numbers and statistics: 'AIFAIS helped 50+ SME businesses with an average 45% increase in AI mentions'
2. Mention specific results and cases instead of vague promises
3. Reference trustworthy external sources that support your claims
4. Write in a factual, objective tone — AI models assess this as more trustworthy
5. Include author information and publication dates with all your content
Avoid vague marketing language like 'excellent service' — specificity is everything
Citation-optimized content gets picked up by AI models up to 3x more often than generic text

The llms.txt file: your business card for AI

Just as robots.txt gives instructions to web crawlers, llms.txt gives instructions to AI models about your business.

Place the file in your website root (e.g., yourdomain.com/llms.txt)
Describe who you are, what you do, which target audience you serve, and your core expertise
Add links to your most important pages (services, about us, knowledge base)
Indicate which information is most relevant for AI models
Ensure llms.txt information matches 100% with your website and online profiles
Inconsistencies between llms.txt and your website lower your trustworthiness score with AI models
AIFAIS implements llms.txt as a standard component of all GEO packages

5 essential Schema.org types for AI discoverability

Structured data helps AI models correctly interpret and categorize your information.

1. Organization/LocalBusiness — your business information, address, contact details
2. Service — each service you offer, with description and price indication
3. FAQPage — frequently asked questions and answers that AI can directly adopt
4. Article — blog posts and knowledge base articles with author and publication date
5. Review/AggregateRating — customer reviews that build trust
Correct Schema.org implementation increases your chance of AI mentions by an estimated 30-50%
Always validate your markup with Google's Rich Results Test or Schema.org validator

Complete AI discoverability plan: 10 steps

AIFAIS uses a structured plan that starts with a baseline measurement and leads to continuous optimization.

1. Baseline: test how ChatGPT, Gemini, and Perplexity respond to questions about your industry
2. Technical audit: check Schema.org markup, site architecture, and loading speed
3. Create an llms.txt file with your core business information
4. Optimize existing content with concrete numbers, facts, and direct answers
5. Implement Schema.org markup for all services, FAQs, and business details
6. Build online authority signals through consistent mentions on 10+ platforms
7. Create new content that directly answers frequently asked AI questions in your industry
8. Monitor your AI mentions monthly and adjust strategy based on results
9. Test new prompts and questions weekly to measure your AI visibility
10. Scale up: add new services, regions, and search terms to your GEO strategy

Why invest in AI discoverability now?

Businesses investing now are building a lead that's hard to catch up to.

AI search traffic is growing exponentially — those who start now benefit as first movers
Just as early SEO investors benefited for years, the same applies to GEO
AIFAIS GEO packages are specifically developed for SME businesses
Technical implementation + content creation + monthly monitoring in one package
Results are measurable: monthly reports with concrete mention data
On average, clients see a significant increase in AI mentions within 3 months
Contact AIFAIS for a free GEO quick scan of your current AI discoverability

Frequently Asked Questions about Getting Found by AI: 10 Steps for More Visibility

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Top 6 Ways to Get Found by ChatGPT

To get found by ChatGPT, your content must be factual, structured, and citable. The 6 most effective methods are: implementing llms.txt, adding Schema.org markup, writing citation-optimized content, building consistent online mentions, using FAQ structures, and monitoring your AI discoverability monthly.

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