Danielle Birriel
Ranking on Google isn't the same as being recommended by AI. I work on the gap.
I'm Danielle Birriel — an SEO and AI search specialist in Florida with 12+ years in search, a master's in computer science, and a bachelor's in marketing. I'm also the founder of D&D SEO Services, my local SEO agency. This site is where I think out loud: experiments, data, and the argument I'm willing to defend about where search is going.
AI search visibility isn't a new trick you bolt on. It's what good SEO has always pointed toward. Most of the advice out there gets that backwards.
The work, the range, the argument — and where I show it
I figure out why businesses rank on Google but still don't get recommended by AI. SEO is the foundation. AI visibility is what that foundation makes possible. Here's how I think →
Why you rank on Google but the AI still won't vouch for you.
Most businesses are running blind in one of the two search systems that now matter. They've invested in SEO, they show up in traditional results, and they assume that covers them. Then a customer asks ChatGPT or Perplexity for a recommendation — and the brand is nowhere in the answer.
Every one of those invisible moments is a referral that went to someone else. My work starts with a diagnosis: where a business actually stands across both systems, what's blocking AI visibility, and which fixes move the needle versus which are noise. Then I close the gap — not with new tactics bolted on top, but by finishing the SEO foundation the AI systems were looking for all along.
Why does a business rank on Google but not get recommended by AI?
Because ranking and being recommended are two different systems. A page can top Google's results yet give AI models nothing clear to extract, cite, or trust. Closing that gap comes down to three things: entity signals that tell AI systems who you are, content structured so it can be extracted and cited, and demonstrated authority that makes you safe to recommend. Fix those, and the same foundation that ranks you starts getting you recommended.
500+ campaigns. 100+ businesses. 20+ industries.
Local service companies to e-commerce, across nearly every field that lives or dies by being found. Plumbers and home-service companies that need the phone to ring. E-commerce brands watching AI quietly reshape how people discover products. Professional services where one good referral beats a thousand clicks.
Different industries, same question: when someone goes looking, do you show up — and does the AI vouch for you? That range is the point. Working across this many industries taught me which parts of search are universal, which are specific, and how to tell the difference fast — which is exactly the judgment AI visibility work demands.
The case that GEO and AEO aren't standalone disciplines.
There's a land grab happening right now to rebrand AI search as something brand-new — a fresh set of acronyms and "experts" selling them as services disconnected from everything that came before. I think that's backwards, and I'll argue it with data.
AI search runs on real SEO infrastructure: entity signals that tell AI who you are, content that demonstrates genuine authority, technical health that makes you trustworthy to retrieve and cite. My computer science background is why I see this as a systems problem, not a keywords one — and why I build frameworks instead of tactics.
Experiments, data, and teardowns — what gets cited, what doesn't, and why.
This is where I show the work instead of just claiming it. Controlled tests across the five platforms, real data on what AI surfaces and what it ignores, and honest breakdowns of why a business that should be visible isn't. I run these methods on my own work first.
What people ask me about AI search
The questions I get most — about AI search, how it relates to SEO, and how I work. Short, plain answers.