Insights
The work, measured. Not the pitch.
Case studies and field notes on AI search visibility. What actually moves a CitedIQ™ score, how long it honestly takes, and real before-and-after numbers, including the ones still climbing.
Field notes
What we learn doing the work. Foundations, honest observations, and the occasional history lesson, written to be the clear, citable answer to a real question.
The AI engines just grew hands
Meta and OpenAI launched AI agents that run errands for people, and Google's agents already call local businesses. What changed, what did not, and why the business that is easiest to verify is the one that gets the call.
Read the field note →What was never meant to be optimized
We build a company around making businesses visible to AI, so why is our mark a fingerprint? On staying human while everything accelerates, why honesty is the part that cannot be optimized away, and what the technology is actually for.
Read the field note →The rules keep changing, and that is the job
AI engines quietly shift where they pull reviews and which sources they trust, often without announcing it. A real example from the last few months, why you cannot ask an AI how it works, and why staying current is the service, not a distraction from it.
Read the field note →The vote was July 2nd. We remember July 4th.
Congress voted for independence on July 2nd. We all remember July 4th, the date that got written down and repeated. That gap is the single most important thing to understand about getting recommended by AI: it is not enough to be true, you have to be cited.
Read the field note →Why ranking on Google doesn't mean AI recommends you
The most dangerous belief a business holds right now is that Google success carries over to AI automatically. It does not. A business can top Google and be invisible to ChatGPT. Why the two are different, and how to check where you stand.
Read the foundation →How AI engines decide which businesses to recommend
They do not hand you a list of links. They hand you a name. Here is how that decision actually gets made, the three signals that govern whether you are the business an engine names, based on the evidence rather than on what the engines say about themselves.
Read the foundation →Case studies
The work, measured. Real before-and-after numbers, including the ones still climbing, and the honest judgment calls along the way.
Shown 415,000 times, clicked under 1%, invisible to AI
A custom apparel and screen-printing company had the visibility but not the clicks or the AI recognition. How the CitedIQ method rebuilt the foundation, and the honest judgment calls that mattered most, including what we talked the client out of.
Read the case study →75 days of AI visibility work, measured
A Scottsdale business re-audited against the identical CitedIQ criteria 75 days apart. What moved, why AI Searchability gained the most yet still has the furthest to go, and the honest timeline behind it.
Read the case study →