
Insurance Brand Reputation in AI — Regulator-Safe Practices
May 10, 2026
Which content patterns let insurance brands earn AI citations under state DOI scrutiny without inflating claims or going silent?
Read article →
AI & Content Marketing Consultant
Sarah Jennings has been telling brands what to say, and how to say it, for over a decade. She started in journalism, spending three years covering small business and economic development for a regional newspaper in the Midwest before moving into content marketing. That editorial background gave her something most marketers don't have: a nose for story, a commitment to getting things right, and zero patience for filler.
After leaving journalism, Sarah joined a digital agency in Chicago where she learned SEO content strategy working with clients in insurance, real estate, legal services, and home improvement. She moved up to Director of Content, running a team of fifteen writers and editors producing content for over forty clients at the same time. That experience taught her how to build content operations that scale, years before AI tools made everyone start talking about it.
Sarah got into AI-assisted content because she had to. When you're managing that much content across that many industries, you need to find ways to keep quality high without burning your team out. She saw early on that AI was good at research and first-draft structure, which freed her team up to focus on the stuff that actually matters: original thinking, voice, fact-checking, and editorial judgment. She's built out workflows for combining AI and human editing that she now uses with her consulting clients.
Her industry experience is wide. She's built content strategies for SaaS companies, ecommerce brands, local service businesses, insurance agencies, manufacturing firms, healthcare providers, and retail chains. She picks up new industries fast, and she's good at building subject matter knowledge through research and talking to experts. She credits her journalism background for that.
For SEO and GEO, Sarah thinks about the big picture. She helps companies understand how search behavior is changing, what generative AI means for how people find content, and how to plan around it. She's more interested in building something that works long-term than chasing whatever the latest algorithm change is.
Sarah studied journalism in college and later got her MBA with a focus on marketing and operations. She splits her time between Chicago and a small lake house in Michigan, where she likes to write early in the morning before her golden retriever, Biscuit, starts demanding his walk. She reads constantly, mostly nonfiction, and has kept a list of every book she finishes each year since college. She writes about content strategy, AI in marketing, SEO, GEO, and how to run content operations that actually hold up over time.

May 10, 2026
Which content patterns let insurance brands earn AI citations under state DOI scrutiny without inflating claims or going silent?
Read article →
May 7, 2026
How long does it really take to correct a wrong claim an AI model is making about your brand, and why do most teams quit before the fix lands?
Read article →
May 6, 2026
Why does hand-checking five prompts a week miss the AI misinformation that actually costs deals, and what cadence catches it?
Read article →
April 29, 2026
If different users get different AI recommendations for the same query, how do you know which users are seeing your brand and which ones aren't?
Read article →
April 25, 2026
What happens when an AI shopping assistant mischaracterizes your product, and how do you get the narrative corrected before it costs sales?
Read article →
April 24, 2026
How do you find the specific queries where AI recommends competitors instead of you, and what's actually missing from your content to fix it?
Read article →
April 22, 2026
Do AI models actually read your images, videos, and alt text, and how are those signals changing which brands they recommend?
Read article →
April 20, 2026
Why do AI assistants recommend some insurance brands over others for small business queries, and what pattern separates the winners from the rest?
Read article →
April 16, 2026
How do you manage a brand crisis when ChatGPT and Perplexity lock the narrative into retrieval within 48 hours of a breaking news story?
Read article →
April 15, 2026
How do you win when AI assistants compare your product to cheaper competitors without cutting price, and which signals drive the decision?
Read article →
April 14, 2026
Why do AI platforms keep pulling from FAQ content over everything else, and how do you write FAQs that get cited instead of ignored?
Read article →
April 12, 2026
Which sources do AI platforms actually cite when they answer buyer questions in your category, and how do you get your pages into that list?
Read article →
April 4, 2026
When someone asks AI for the best restaurant, plumber, or dentist nearby, how do you become one of the few local businesses the AI actually names?
Read article →
April 2, 2026
How does a SaaS brand make sure AI platforms include it on the initial shortlist buyers see before they ever visit G2, Capterra, or your site?
Read article →
March 31, 2026
When AI picks only two or three products to recommend, how do you make sure yours is one of them and not the brand the AI silently ignores?
Read article →
March 25, 2026
Are competitors winning the AI mentions that should be yours, and how do you benchmark your brand's AI visibility against theirs across platforms?
Read article →
March 25, 2026
ChatGPT drives product recommendations for millions every week, so what patterns make it pick your brand, and how do you start showing up today?
Read article →