We Test Reality, Not Theory
Most local SEO advice is recycled theory. We ignore it. We run actual campaigns in Baton Rouge and track real map pack movements across East Baton Rouge Parish. When we recommend a citation aggregator, a Google Business Profile tactic, or a review management tool, it’s because we deployed it on a live asset and measured the ranking delta.
Zero guesswork. Real data.
We built this review process because local business owners are tired of vague promises. You need to know exactly what software handles Local Services Ads verification properly. You need to know which citation cleanup service actually removes ghost listings in Louisiana directories. We spend our own time and budget finding out.
How We Select What to Cover
We don’t chase shiny objects. We evaluate tools and strategies that directly impact local search visibility. If a software claims to automate GBP posts, we test it. If a data aggregator promises faster NAP syndication across regional directories, we run a baseline test.
We select subjects based on client friction.
When three different HVAC contractors in Metairie struggle with duplicate listings, we test the top five citation cleanup services. We find the one that actually works. We only review products that solve a specific, operational problem for local search practitioners.
Our Evaluation Criteria
We measure outcomes, not features. A beautiful dashboard means nothing if the tool fails to push data to the primary aggregators. We evaluate every local SEO tool and service against strict operational metrics.
- Indexing Speed: How fast does Google recognize the change. We track the exact days between deployment and cache update.
- Map Pack Delta: Does the intervention expand the local ranking radius. We use geogrid tracking to measure visibility improvements block by block in Baton Rouge.
- Friction and Support: When an API breaks, we need to know how fast the vendor fixes it. We submit support tickets during peak hours and time the response.
- NAP Consistency: We run manual audits to verify that the software didn’t scramble phone numbers or suite addresses during syndication.
The 90-Day Time Investment
Local search algorithms don’t react overnight. Neither do we. We dedicate a minimum of 90 days to testing any local SEO strategy or software.
We spend thirty days establishing a baseline. We spend thirty days on active deployment. We spend the final thirty days measuring the algorithm’s response. We run these tests on live staging sites and secondary GBP listings before ever applying them to a primary client asset.
Short tests produce fake data.
We wait for the dust to settle. If a tool boosts proximity signals for a week and then drops the listing back to page three, we document the failure. You get the full timeline of our testing phase.
What We Refuse to Review
Limitations build trust. We refuse to cover several categories of SEO products. We don’t review automated review-gating software. Google’s terms of service explicitly forbid gating, and we won’t risk a client’s listing to test a non-compliant tool.
We don’t review generic, national-level link building services. Baton Rouge local SEO requires hyper-local relevance, not mass-produced directory spam.
We ignore theoretical SEO courses. We only care about operational tools that you can plug into a business today and see a measurable result.
The People Doing the Testing
Karyna Shamayeva leads our testing protocol. As a growth manager for tech companies, Karyna brings strict data hygiene to local SEO. She spent years scaling user acquisition for software platforms before applying those exact quantitative models to local search.
She doesn’t write opinion pieces. She builds geogrid reports, analyzes citation consistency, and documents exactly why a specific GBP strategy failed or succeeded. Her background in tech growth means she evaluates software based on scalability and actual ROI, not marketing copy.
How Reviews Are Updated
The local search environment shifts constantly. A tool that dominated citation building last spring often degrades by winter. We revisit our core reviews every six months.
We re-run the geogrid reports. We check if the pricing changed. If a previously recommended software degrades in quality, we update the page and clearly state the failure. We leave the old data visible for context.
Transparency requires showing the timeline of a tool’s decline.
When an algorithm update changes how proximity is calculated, we go back into our published guides and adjust the strategy. You’ll always see a clear log of what changed, when we tested it, and why we updated our stance.