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Artificial Intelligence

Is your website cited by AI? (e.g., Gemini, ChatGPT)

Is your website gaining visibility and/or traffic from AI chatbots and searches?

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Muhammad Shahzad

Certified Power Platform CRM and ERP Consultant

This is a really timely question — "AI visibility" or being cited in AI-generated answers (sometimes called AEO: Answer Engine Optimization) is becoming as important as traditional SEO for many businesses, especially B2B ones.

I've been working in enterprise software consulting and digital strategy, and I can share what we've seen in practice.

First, YES — AI models like ChatGPT, Gemini, Perplexity, and Claude actively cite and recommend websites. Here's what determines whether yours gets cited:

1. Authoritative, Well-Structured Content
AI models are trained on and pull from content that is:
- Clearly written and well-organized (headers, numbered lists, definitions)
- In-depth and factually dense rather than surface-level
- Frequently cited by other reputable sources (backlink signals still matter)

If your content looks like a Wikipedia article (structured, sourced, comprehensive), AI models are far more likely to reference it.

2. Schema Markup and Structured Data
Adding schema.org markup (FAQPage, HowTo, Organization, Product) helps AI crawlers parse your content correctly. Many AI systems prioritize semantically tagged content over plain text.

3. Integration with High-Authority Platforms
Publishing thought leadership on platforms AI models heavily index — LinkedIn, GitHub, Medium, Reddit, and Substack — dramatically increases the chance of being cited. AI models crawl these frequently.

4. Real-Time Web Access (Perplexity, Bing Copilot)
For tools that do live web retrieval (like Perplexity), standard SEO factors apply: page authority, freshness, and relevance. Ranking in top Google results = much higher chance of being cited.

5. Brand Mentions Across the Web
AI models learn associations from patterns. If your brand/domain is mentioned alongside your target keywords across many reputable sources, you get "associated" with that topic in the model's knowledge.

For my own work in the Microsoft Dynamics 365 and enterprise integration space, I've seen domain-specific expertise content (detailed how-to articles, case studies, technical documentation) get referenced much more reliably than generic marketing content.

If you'd like help auditing your current content strategy for AI visibility, happy to jump on a call.

Answered 12 days ago

Anthony Jenkins

Marine veteran & entrepreneur helping businesses

I think a lot more businesses are getting cited by AI than they realize — they’re just not tracking it correctly yet.

Most companies still look almost entirely at traditional SEO metrics like Google rankings, impressions, and backlinks. Meanwhile, people are increasingly asking ChatGPT, Gemini, Claude, Perplexity, and Copilot questions directly instead of clicking through 10 blue links like it’s 2012. The behavior shift is happening fast.

From what I’ve seen working with small businesses and operational systems, the websites that tend to get surfaced by AI tools usually have a few things in common:

* They answer real questions clearly instead of writing fluffy marketing copy
* They have depth and specificity
* They demonstrate actual expertise or firsthand experience
* They’re connected to broader conversations across the web (LinkedIn, Reddit, GitHub, YouTube, forums, etc.)
* Their content is structured in a way AI can easily interpret

Ironically, a lot of businesses still write for search engines instead of humans. AI systems are pushing things back the other direction. Content that sounds overly optimized, generic, or keyword stuffed tends to blend into the wallpaper now.

One thing I’d strongly recommend to businesses is this:
Stop only asking “How do we rank on Google?”
Start asking:
“What would make an AI confidently reference us as the answer?”

That changes your strategy completely.

For example:

* Case studies become more important
* Original insights become more important
* Technical explainers become more important
* Comparisons and operational transparency become more important
* Demonstrating real-world experience matters more than polished buzzwords

I also think people underestimate how important brand mentions are becoming. AI models build associations from patterns across the internet. If your company keeps showing up around certain topics, industries, or solutions, eventually the models start associating you with authority in that space.

The businesses winning right now are usually the ones consistently publishing useful, experience-driven content instead of chasing hacks.

And honestly, we’re still early. Most companies haven’t adapted yet.

Happy to discuss strategies around AI visibility, operational SEO, content structure, or how businesses can position themselves better for AI-driven search and discovery moving forward.

Answered 8 days ago