Session 01
Promptly Ignored: How a Poor Digital Footprint Censors You from AI Recommendations (And What to Do)
Negative reviews or a weak authority score can keep even a well-known brand out of AI answers. Ann covers where online reputation meets AI visibility: how AI models gather trust signals, weigh sentiment and decide which businesses make the cut, and which get quietly left out.
Step by step: how to assess your current reputation, fix the biggest pain points, run an "LLM consensus" audit, track AI sentiment and plan your progress. Backed by six months of AI-tracking data from a real brand reputation project.
Key takeaways
- A poor reputation now costs visibility, because LLMs search for brands they know and may leave questionable ones off shortlists.
- Start by auditing your footprint: research branded keywords, track branded prompts and check which attributes and pain points LLMs tie to you.
- Lead the conversation by running your own subreddit and publishing your own data, and expect an official channel to take about six months to matter.
- LLMs look for consensus, so sales, support, social and your website must tell the same story, including why your weak points exist.
“The reputation is the visibility problem at this point, not just the income or bottom line problem as it used to be.”
Ann Smarty, at 11:09
Speaker
Ann Smarty
Co-Founder, Smarty Marketing
SEO and AI visibility expert with 20+ years in search. Co-founder of Smarty Marketing, a New York agency focused on Reddit and cross-channel organic visibility. Former editor-in-chief of Search Engine Journal, founder of Viral Content Bee, a regular speaker at Pubcon and a past contributor to Search Engine Watch.