When a buyer asks ChatGPT, Gemini, or one other AI software a query, that system selects a short list of sources to cite in its reply. In case your model isn’t on that record, it’s not a visibility downside; it’s a model and content material technique downside.
What AI Truly Evaluates
AI programs don’t cite randomly.
They consider content material towards specific criteria: topical authority, structural readability, and model belief indicators they will measure. Most manufacturers haven’t audited their content material towards these standards, making the content material of this upcoming website positioning webinar a bonus for you.
What You’ll Study
On this SEJ webinar, Wayne Cichanski, VP of Search & Web site Expertise at iQuanti, unpacks how AI systems generate answers and what determines whether or not your model’s content material earns a spot in them:
- How AI-powered search selects and cites content material, so you already know precisely what you’re optimizing for
- Which topical authority and model belief indicators decide whether or not your content material earns a spot in AI-generated solutions
- Particular, sensible techniques for creating and restructuring content material that will increase your model’s AI visibility
#Content material #Isnt #Cited #Solutions #Repair

