Be the source.
Find out what AI says about you. Then change it.
QueryWhich project management tool is best for remote teams?
For remote teams, the most recommended options are Competitor A, Competitor B and Competitor C…
This is the answer your buyer gets. You are not in it, and nothing tells you.
Buyers ask AI who to hire.
Ranking on Google got you the click. Being named by the model gets you the shortlist. When a buyer asks who to buy from, the answer is three names. If none of them is yours, the deal was decided before anyone reached your site.
Measure, then change the answer.
A closed loop. We find the gap, then we close it.
Measure.
Every day, we ask the questions your buyers ask and read the answer that comes back.
Fix.
Every gap comes back as the work that closes it. Content, structure, schema and machine-readable signals.
Confirm.
Publish it, mark it, and every run after that checks whether it landed.
Word for word. From the engine itself.
Every answer in your dashboard is the full response, exactly as the engine gave it. Not a summary. Not our reading of it. Not a blended score that hides what any one engine actually said.
The answers your buyer sees, from where they are.
Models recommend what they can understand.
When an engine answers a buyer's question, it works from the information it can find, read and trust. If your strongest evidence is buried, blocked or invisible to the engine, it may as well not exist.
Our job is to make sure it doesn't stay invisible.
Everything it takes to be the source.
It reads your whole site.
The engine opens every page of your site in a real browser and reads what is actually there, including the words inside images that most crawlers skip.
Logo walls. Testimonials. Pricing tables. Product screenshots. If it contains information about your business, we want the engine to see it.
It also names every AI crawler your site is blocking and measures how much of your content disappears for engines that don't run JavaScript.
Nothing invented. All of it comes from your own site.
See every answer.
Not just whether you were named. Where in the answer you landed, how the engine described you, and who was named instead.
Know what to fix.
Every gap comes back with the work that closes it, grounded in your site, your buyers, your category and what the engines actually returned.
Your voice. Sourced.
Before a word is written, the engine builds your brand voice from around twenty dimensions of how you already write. Every one is backed by a real sentence from your own site, linked to the page it came from.
If we can't point to it, we don't claim it.
“The exact language your brand already uses lives here.”
Source evidence → /product/example-pageWatch it move.
Mark the work published and every run after that checks whether it got cited. The loop closes or it doesn't, and you see which.
It learns what works.
Every run teaches the engine something about your business. Which recommendations move you and which don't.
The longer you run, the sharper it gets.
A gap you can't close is just bad news. We close it.
Finding the gap is the easy half. We give you the work that closes it, built from what the engine already knows about your business and written in a voice learned from your own site.
You still decide what ships. You just don't start from a blank page.
Built for how engines read.
Answer-first structure, schema, FAQs, llms.txt and machine-readable signals. Matched to how engines parse, quote and attribute, not just how a human skims.
Confirmed today, not last week.
Most gaps are confirmed the day we find them. The engine searched the live web, came back with sources, and still did not name you. That one is real and you can act on it now.
Daily runs also create the evidence the learning loop needs: what moved, what didn't, and what should change next.
Read more on how it worksUnderstand. Measure. Diagnose. Create. Publish. Confirm. Learn.
Questions, answered.
AI is increasingly part of how buyers build a shortlist. If the engines do not name you when buyers ask who to consider, you can be left out before anyone reaches your site.
First, the engine learns your business. It opens your site in a real browser, reads the pages and the words inside images, checks what AI crawlers can reach, and builds your knowledge base, competitor set, buyer profile and prompts from the site itself.
Then it measures. Every day it runs those buyer-intent questions across the engines in your plan and stores the full answers word for word.
Then it acts and learns. Gaps become recommendations and publish-ready work in a voice sourced from your own site. After you publish, the engine watches what gets picked up and uses that result to sharpen future recommendations. See how it works in detail
Yes. They do different jobs. SEO helps you earn visibility when someone searches and chooses a link. GEO focuses on whether AI systems name, cite and recommend you when a buyer asks directly.
It is ongoing, not a one-time fix. Every company starts from a different place, and engines can take time to pick up new material and begin citing it.
We track the buyer-intent questions that matter in your category and record how often, where and in what context your company is named across the engines you monitor.
Daily. Frequent runs confirm which gaps persist, show when published work starts getting picked up, and create the evidence the learning loop needs to understand what moved and what did not. More on this
Results depend on where you start and how competitive your category is, so we do not promise a number we cannot stand behind. You do get a clear baseline, measured movement and visibility into what is changing.
Contact us with your company name and website. We build the starting profile, send the payment link and then give you access to the dashboard. Choose monthly or annual. See how it works
Be the answer.
Tell us your company and website. We'll show you where you stand today.