When buyers ask AI, do you come up?
Tell us your brand and what you sell. We derive the three questions your buyers actually type into AI assistants (no brand bias), run each one through every engine you have a key for, and score whether you get named in the answer and cited in the sources. One number: your AI recommendation rate.
Your buyers’ questions, every engine’s verdict.
Add a key for any engine (used once, never stored). More engines = a sharper read.
Use your own API keys , used once for your request, never stored on our servers
Keys travel over HTTPS to our server, which calls each AI provider for this one request, then discards them, never logged or stored. Answers vary run to run; this is a snapshot, and tracked runs give the trend. Want it fixed, not just measured? That’s GEO.
Questions, answered.
We run proactive optimization with clear reporting and documented actions. You always know what's being worked on, why it matters, and what comes next.
Full-service digital marketing and AI consulting, SEO, paid advertising, content strategy, web design and development, local marketing, AI agent development, AI strategy, automation, analytics, and business strategy.
Yes. We set the strategy and then own the execution, with clear priorities and timelines so nothing drifts or stalls.
We measure against the outcomes that matter to your business, qualified leads, conversions, and revenue, and report on what changed and what it impacted.
Both. Our local marketing and maps optimization services are built around your service areas, whether that's one location or many.
Unclear ownership, reporting that hides impact, and no documented plan for what's being worked on or why.
What is Would AI Recommend You??
Would AI Recommend You? is a free, bring-your-own-key tool that derives the three questions your buyers actually ask AI assistants about a purchase like yours, runs each one through Claude, ChatGPT, Gemini, and Perplexity, and scores whether every engine names your brand in its answer and cites your site in its sources, rolled up into one AI recommendation rate.
How it works
You enter your brand, domain, and a one-line description of what you sell, plus an API key for any engine. One model first writes three unbiased buying-intent questions (your brand is never shown to it), then every configured engine answers each question with web search or grounding where supported, and each answer is checked for your name and your domain. Results vary run to run, so treat one run as a snapshot and repeated runs as the trend.
Who it’s for
For founders and marketers who suspect AI assistants are recommending competitors; the outcome is a concrete recommendation rate plus the exact question-engine pairs you lose, which become the priority list for GEO and content work.
In practice
An ecommerce tracking provider enters its brand and one sentence about server-side tracking; the tool derives three buyer questions, finds it named in only two of eleven engine answers and cited in none, and those nine misses become the pages and entity work its team ships next.