AI Search
There’s a particular kind of frustration that every working SEO knows.
You’re in the middle of a site migration. You have a spreadsheet with 400 old URLs, a staging environment with 400 new ones, and somewhere in between, you need to map them — intelligently, not just alphabetically. You could spend four hours doing it manually. You could hand it to a junior team member and spend two hours reviewing their work. Or you could quietly cut corners, and hope nothing critical breaks post-launch.
That last option is the one that quietly kills organic traffic after migrations. And it’s a choice most SEOs make not because they’re careless, but because the tools available either cost too much, require too much setup, or solve the wrong version of the problem.
That’s what pushed me to start building my own.
I’ve spent 12 years doing SEO at the agency level — across enterprise brands, e-commerce, healthcare, and industrial sectors. I’ve run keyword strategies for companies with millions of indexed pages, managed GA4 migrations across multi-property setups, and built reporting systems that gave C-suites actual signal instead of vanity metrics.
I’m not coming at this as a blogger who learned SEO last year. I’m a practitioner who got tired of the same workflow inefficiencies showing up on every project, regardless of the client size or budget.
That’s the foundation behind Your Friendly SEO — a platform built to give working SEOs and small business owners the kind of focused, practical tooling that the big platforms don’t prioritize.
The major platforms — Semrush, Ahrefs, Screaming Frog — are excellent at what they do. But they’re built for breadth, not depth on specific workflow problems. They’ll crawl your site and surface 2,000 issues. They won’t help you triage which 12 actually matter for your client this quarter.
What most working SEOs actually need is a set of focused, fast utilities that slot into the work they’re already doing — not another dashboard to manage.
That gap is what I set out to fill.
The first is a redirect mapping utility.
The premise is simple: you feed it your old URLs and your new site architecture, and it uses semantic matching — scoring on URL structure, title similarity, and keyword overlap — to suggest the most logical redirect destinations. It’s not magic. It won’t replace your judgment. But it cuts first-pass mapping time from hours to minutes, and it flags low-confidence matches that need a human decision rather than burying them in a spreadsheet.
The scoring model weights URL structure at 40%, title similarity at 40%, and keyword overlap at 20% — which in practice means it catches the nuanced matches that pure string-matching tools miss entirely.
The second is an internal link recommender.
Internal linking is one of the highest-ROI technical SEO activities that almost no one does systematically, because doing it right requires reading across your entire content library and understanding topical relationships. The tool surfaces pages that are topically related but not yet linked — giving you a prioritized list of opportunities based on what’s actually on the page, not just keyword overlap. The result is internal link suggestions that are contextually defensible, not just algorithmically convenient.
Both tools were built using agentic AI coding — which is where the approach gets genuinely interesting.
This isn’t an abstract concern. Lily Ray of Amsive Digital has warned that AI-dominated search results could “decimate” organic performance. Research backs that up: the average click-through rate for the top-ranking result on AI Overview keywords fell from 7.3% in March 2024 to just 2.6% in March 2025 — a 34.5% drop.
The SEOs who come out ahead in this environment won’t be the ones who work harder. They’ll be the ones who work more precisely — spending their time on judgment calls and strategy, not on the four-hour spreadsheet tasks that a well-scoped tool can handle in four minutes.
That’s the real shift. And it requires tooling built for it.
There’s been plenty of noise about AI-generated content flooding search results. That conversation is real. But it’s a completely different conversation from what’s happening at Your Friendly SEO.
These tools weren’t built to replace SEO thinking. They were built to remove the parts of the work that don’t require it. Mapping 400 URLs doesn’t require expertise. Reviewing 200 internal link suggestions and deciding which 30 actually make sense — that does.
The agentic coding setup powering these utilities lets me scope and ship tools that would have taken weeks of development time in a fraction of that. The result is tooling genuinely tailored to how SEOs work day-to-day, not how software engineers imagine they do.
The key distinction: AI handles the execution layer. Strategy, judgment, the final call — that stays human.
The tools currently live at yourfriendlyseo.com, free to use. The redirect mapper and internal link recommender are the first two. More are in development — built around the same principle: find the task that eats the most time for the least strategic return, and systematically remove it from your plate.
SEO is getting harder to justify to business owners at the same moment it’s becoming more powerful for practitioners who actually know how to use it. Better tooling — focused, fast, and built by someone who does this work — is part of how that gap closes.
Emil Mequita is a 12-year SEO veteran and the founder of Your Friendly SEO, where he builds practical SEO tools and resources for working marketers and small business owners.
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2023 Roastbrief is a digital media with global presence that seeks to share knowledge and updates about the creative industry. Privacy Policy Send your press releases to: press@roastbrief.us
