Before you spend another dollar on SEO, find out what your competitors are actually doing.
I do local SEO for service businesses, and I do it differently: I measure every business competing with yours — not a sample, all of them — and build your rankings on what the data proves your market rewards. I'm a systems engineer, not an agency, and this machine is one I run in my own business every day.
Why most local SEO fails.
When someone searches for what you do, Google shows three businesses on a map, and those three get most of the calls. Which three isn't random — Google weighs profiles, reviews, websites, listings, and proximity, for you and for every competitor near you.
A ranking is a comparison. Yet the standard tools track maybe ten competitors, in markets where two hundred businesses compete for the same searches. SEO done against a sample of the field is guessing with charts.
So I don't sample. The big platforms all buy their data from the same upstream sources, and those sources sell direct access. I query them directly and collect your entire market — every competitor, every signal, continuously. Nothing left out means nothing moves unexplained.
Every competitor, every signal, all the time.
For every business competing with yours: rankings tracked from a grid of points across your service area — because rankings change block by block, and you can be first near your shop and invisible where the bigger jobs are — plus reviews, citations, backlinks, ads, and site performance. Collected continuously, kept forever.
What that buys you is explanations instead of theories. When a competitor outranks you, the data shows why, and the reason is usually fixable. When your market moves, you get an alert, not a surprise.
Watch it working, down to the dollar.
Custom dashboards built around your business: your map rankings by neighborhood, which competitors gained ground, where the calls came from. Live, with alerts — not a monthly PDF.
And one number most businesses have never seen: cost per booked job. I connect your ad accounts, call tracking, and job records so a marketing dollar can be followed to booked revenue. It changes every decision you make afterward.
The ranking work, done every time.
Rankings reward consistency — steady reviews, correct listings, fast follow-through — and consistency is exactly what businesses stop doing by March. So it runs as software instead: review requests the moment a job completes, citations kept correct everywhere Google checks, missed calls texted back in seconds, every estimate chased until the customer books or declines.
All monitored, with failure alerts — if something breaks, I know before you do. And the same layer ties your existing tools together, so your stack finally works as one system.
Judgment work, done by software that proves it.
Some work requires reading and deciding — review responses, service pages built around real searches, project write-ups in your voice, records kept current, reports that explain rather than chart. Agents do that work now, steadily. You approve what represents you.
And because AI can report success on work it didn't do, every agent runs under verification: output checked against source data by deterministic software, failed checks stopping the work. Anything involving money or a promise to a customer requires approval. Always. If a system can't show its work, I don't ship it.
What this looks like when you hire me.
Start with the Market Analysis.
Every engagement begins the same way, because it's the only honest way to begin: I measure your market before recommending anything.
A complete measurement of every business competing with yours, and the findings in writing: which competitors beat you for which searches, exactly why, the order to fix it in, and how we'll verify each fix worked. Yours to keep — usable whether you hire me or not.
If it doesn't surface specific, fixable reasons you're losing to named competitors — with evidence attached — you don't pay.
Competitive intelligence can't serve both sides of a fight, so I take one business per trade, per market. If your competitor gets here first, I'll decline — which tells you something about what they now have.
Background.
Self-employed since 17; twenty-five years across industrial automation, data engineering, design, and now AI. Industrial automation is where I learned verification — a machine that misreports its own state causes real damage — and that turned out to be exactly what AI needs, because it fails the same way: confidently, and silently.
Today I run my own platform: thousands of domains scanned every 72 hours into a warehouse I built and operate alone. This isn't a service I read about. It's my own tooling, offered to you.
"If a system can't show its work, I don't ship it."
Fluent across the stack, loyal to none of it. The right solution is usually simpler than the one being sold.
Analysis that looks only at your own numbers can't explain them. I measure the whole field.
"It ran" and "it's verified" are different states. Only the second one counts.
The infrastructure gap between large companies and small ones keeps widening. Closing it, one business at a time, is the point.
Tell me what's broken.
One conversation, no pitch deck. Tell me the market you want to win or the marketing you can't measure, and I'll say plainly whether I'm the right person. If your competitor already hired me, I'll tell you that too.