About
We became an AI company because our clients' customers did
Greenbug.ai grew out of Greenbug Marketing, a local agency serving businesses across Washington DC, Maryland and Northern Virginia. The shift was not a rebrand chasing a trend — it was a response to clients asking a question the old reporting could not answer.
How this started
For years the work was recognisable agency work: websites, local search, content, reporting. The reporting measured rankings and traffic, because that is what determined whether a local business got found.
Then clients started arriving with a different question. Not “where do I rank” but “my customer said they asked ChatGPT and it recommended someone else — what happened?”
That question was not answerable with the tools the industry had. There was no ranking report for it, no dashboard, no number. The honest answer was that nobody knew — and that nobody was measuring it.
So we started measuring it. Greenbug.ai is what that turned into: a company built around recording what AI systems actually recommend, publishing the method openly, and doing the work that follows from the evidence rather than from habit.
Builders and researchers, not just marketers
The distinction matters because it determines what we optimise for. An agency optimises for deliverables completed. We are trying to build a defensible measurement of something genuinely hard to measure — which means the infrastructure and the method come before the marketing.
We publish the method
The full methodology is public, including its weights, its denominators and everything it cannot tell you. If you can find a discrepancy between what we publish and what we compute, we want to hear about it.
We measure ourselves
Greenbug.ai runs the same benchmark on its own brand and will publish the result whatever it says. A company selling AI visibility that cannot demonstrate its own is worth knowing about.
We separate money from rankings
Editorial rankings and index placement cannot be purchased, and being a client cannot raise a score. Without that rule, none of the research would be worth reading.
Who is behind this
We argue that AI systems reward expertise that is specific, attributable and corroborated. It would be a poor advertisement for that argument if this company were anonymous.
Operating principles
These are constraints on our own behaviour, written down so they can be held against us.
- Never fabricate a measurement, a citation or a case-study outcome. Every published number traces back to a stored answer.
- Never claim we can control an AI model. We improve the information and authority signals models can draw on.
- Never present a partial measurement as the full score.
- Never change a benchmark prompt because the result was unflattering.
- Report flat results as flat. A month of work that moved nothing is reported as a month of work that moved nothing.
- Disclose limitations on the same page as the numbers, not in a footnote somewhere else.
Where we work
The DMV first — Washington DC, Maryland and Northern Virginia — with selected client work in Texas and Florida. The regional focus is deliberate: building a defensible dataset about one market is more valuable, and more honest, than claiming national coverage with thin data everywhere.
The long-term ambition is national. The near-term work is making the DMV dataset good enough to be worth citing.
Independence
Greenbug.ai is an independent AI visibility and recommendation intelligence company. Greenbug.ai is not affiliated with or endorsed by OpenAI, Google, Anthropic or Perplexity.
We measure these platforms. We have no relationship with any of them, no access to their internals, and no ability to influence their output.
Start with a measurement
The most useful first conversation is one that starts from evidence rather than opinion.