What gets reported
Typical agency: A visibility score
Brainiac: Mention, recommendation and citation rates per engine, with ranges
GEO
Find out what AI tells your buyers about you. Then change it.
When buyers ask ChatGPT, Gemini, Perplexity or Google which vendor to use, a handful of brands get named. We measure where you show up, fix the reasons, and connect the change to pipeline.
Your brandCompetitor ACompetitor BLikely range (light band)
One buyer prompt, four engines. We ask it ten times.
AI answers change every time you ask, so one screenshot proves nothing. Pick an engine: see the answer, the sources it cited and how often you were named across ten runs.
Buyer promptbest payroll software for a 50‑person company in Canada
We asked this 10 times
White ring: the run shown on the left.
Most GEO reporting is a number you can't check.
A score from a tool you can't inspect, or a screenshot of one lucky answer. You can't defend either to a CFO.
How we measure. One loop, run again after every change.
One prompt × one engine × one run
The unit we count. Reported as a rate with a range, per engine, against your baseline.
- 1A fixed prompt panel
50 to 200 real buyer questions, agreed with you before any testing.
- 2Every engine that matters
ChatGPT, Gemini, Perplexity, Google AI Overviews and Claude. Copilot where your buyers use it.
- 3Repeated runs
Each prompt runs several times per engine. We report a rate with a range.
- 4Three outcomes, kept apart
Recommended, mentioned or cited as a source. Different results, different fixes.
- 5The sources behind the answer
The pages and third-party sites the engines lean on. Those you can influence.
- 6Baseline, then re-run
The same panel after changes ship, so you see what moved and by how much.
- 7Through to pipeline
AI-referred visit, form, CRM, opportunity. The same attribution discipline as paid media.
Then back to step 1, with the same panel.
What we do
- Baseline review
Prompt panel, multi-engine measurement, competitors, source map and a ranked fix list.
- Technical access
Crawler access, structured data and page structure, so AI systems can read and quote you.
- Answer-ready content
Pages that answer the real buyer question directly, with evidence worth citing.
- Third-party presence
The review sites, communities and publications the engines rely on in your category.
- Tracking and reporting
The same panel re-run on a schedule, and a monthly readout tied to pipeline.
How we differ from a typical GEO agency
Times each prompt is tested
Typical agency: Once
Brainiac: Repeatedly, because answers vary
Prompt list
Typical agency: Theirs, often generic
Brainiac: Yours, agreed before testing
Proof of impact
Typical agency: Before and after screenshots
Brainiac: Same panel re-run, plus AI-referred pipeline in your CRM
Who does the work
Typical agency: Junior writers with AI tools
Brainiac: Senior analysts and specialists
Before GEO, we spent twelve years proving what marketing actually did. Two of those teams, in their own words.
“The Leadscoring model that he implemented doubled our number of qualified leads in just a few months!”
Diana EzparzaSr. Customer Analytics, Export Development Canada
“Working with Don helped elevate our approach to Marketing attribution at Hitachi Vantara. His adeptness in merging technical solutions with a deep understanding of our business needs has greatly improved our ability to measure the ROI of our marketing efforts.”
Sean ShoemakerGlobal Marketing Manager, Hitachi Vantara
Study in progress
We're studying what AI engines reward
Our research team is analysing thousands of North American businesses to find which signals line up with being recommended, mentioned and cited by AI assistants.
Get the report when it's publishedFrom our free resources
Browse all tools and field notesSee your baseline before you spend on fixes.
Two weeks: your prompt panel, every engine, ranges against your competitors, and a ranked fix list.