Independent GEO and local SEO consultant for HVAC and plumbing companies
Get recommended in ChatGPT
and Google AI Overviews.
Half the jobs in a typical service CRM say nothing about where they came from, so nobody can tell which ad, listing or page booked them. I set up call and lead tracking first, then fix what makes the phone ring: your Google Business Profile, Local Services Ads, Google Ads, your website and the answers ChatGPT gives about you. I do the work myself, with no agency and no account managers in between.
No call needed. You get the 3 to 5 problems costing you the most, in writing, within 48 hours. Mail app did not open? Write to odaryukigor@gmail.com, or book a 30-minute call.
Where the money usually leaks
One of these is usually costing more than the rest. Each link explains how it gets fixed.
Local SEO and GEO case study: before and after.
An appliance repair company. Every number came out of an API, not a screenshot.
- 45% of jobs had no source at all. Nobody could say what the website, the ads or the phone actually produced.
- Analytics had recorded zero conversions in its entire history.
- The CRM credited the website with three jobs a month. Paid leads were bought on faith.
- The site had 64 pages, with city pages competing against each other.
- Put tracking on every visit and enquiry, then joined it to the CRM job and the invoice amount, so a job says where it came from even when a dispatcher types it in by hand.
- Rebuilt the site so pages stopped competing with each other, and rewrote them so an AI assistant can quote an answer straight from the page.
- Transcribed the call recordings and matched them against the jobs to see which paid leads were never real.
- About 75 real leads a month from the website, counted at the form with spam removed.
- 11,724 past jobs traced back to what produced them, including two channels the CRM had credited to the wrong source.
- AI answers citing the business: 63 → about 3,000 in 15 weeks across six AI platforms, read from Ahrefs Brand Radar, which changed its index in between.
- Monthly Google impressions 6,145 → 432,266, October 2025 against October 2026.
- $23,000 of paid-lead spend identified as leads that were never customers.
- Pages showing up in Google: 27 → 1,174.
The full write-up, including what did not work: read the case study → · Who did the work: about me →
How to start
Three steps. Each one is useful on its own, and you can stop after any of them.
The $2,500 tier and one-off projects are on the pricing page. Invoiced through Payoneer under my bank name, Igor Odaryuk: card or bank transfer. Flat fee, no revenue share.
Ihor did serious SEO work for us, and organic orders from the website grew noticeably. But what impressed me most was the automation: our call center manager used to manually review every Google LSA call to dispute the bad ones. Now that's fully automated, so they can focus on call quality instead of admin work. The custom dashboard Ihor built also gave us something we'd needed for years: one place to see exactly where money is going and where it's leaking. Really happy with the results.
We had a one-page site that was essentially invisible: no traffic, no calls, no bookings from the web. Ihor rebuilt it with proper SEO structure, and within a few months we started showing up in search results. The phone began ringing, and we started booking more concerts directly through the site. The site finally started working for us.
Common questions.
Working notes and real data: read the blog →
Send me the site.
Within 48 hours you get the 3 to 5 problems costing you the most money, in writing, each checked against your live pages.
Only the site address is needed. Anything else is optional.
Mail app did not open? Write to odaryukigor@gmail.com. Answered within a day, usually the same one.