Every guide here is written for the business owner who does not have a VP of AI Search or a head of local SEO. Plain English. Verified claims. Practical first steps. No hype.
Two surfaces. One playbook. Everything we have learned from ranking businesses in the Google Maps top 3 and getting them recommended by ChatGPT, Gemini, and Perplexity.
The step-by-step playbook for getting recommended by name on ChatGPT, Perplexity, and Gemini. Schema markup, entity audits, Bing indexing, third-party mentions — and the one thing that does not work at all.
If you've heard "AEO" and aren't sure what it means — or how it differs from SEO — start here. Definitions, a simple framework, and seven AI platforms that matter right now.
Concrete tactics: schema markup, entity audits, Perplexity/Bing connections, reviews, Wikipedia presence. Plus what definitely doesn't work.
Five schema types every small business should have, explained in plain English. Includes copy-paste JSON-LD examples you can drop into your site today.
Why synthetic AI visibility data misses the mark, the 97% accuracy gap story, and how real consumer devices in real metros capture what your customer actually sees.
Everything you need to compete in AI search on a budget under $500/month — the five foundational layers, priced out, with the ceiling where DIY stops working.
Five KPIs that replace rank tracking: recommendation rate, share of voice, prompt coverage, AI-referral traffic, and time-to-first-recommendation. With a monthly report template.
A side-by-side look at datacenter API tools (Profound, Scrunch), headless browsers (Peec AI), and real-device measurement (Top3) — what each captures and misses.
No credit card. We don't charge until AI names you. One business per category per zip — claim yours before a competitor does.
12 local businesses — plumbers, HVAC, dental, auto repair, roofing, real estate, and more — now rank in the Google Maps top 3 and average 340% AI recommendation growth. Top 3 in both surfaces, or you don't pay.
The complete step-by-step playbook. 15 min read.
Start here if the term is new to you. 12 min read.
An honest comparison of the three architectural approaches. 16 min read.
Copy-paste JSON-LD examples, ready to use. 13 min read.
The methodology behind the platform, explained plainly. 14 min read.