SEO & AI Search

We Rebuilt Our Own Website for AI Search. Here's Exactly What We Changed.

Before and after comparison of the Vavinix website homepage copy and structure

Agencies love telling you what to do. They're quieter about whether they've done it themselves.

So before we sold AI-search optimization to a single client, we ran the entire process on our own website, vavinix.com, and kept notes. This is the teardown. The real changes, the reasoning behind each one, and the parts that were harder than expected.

If you've read our piece on why businesses are invisible to AI, this is what fixing it looked like in practice.

Change 1: We rewrote the homepage to survive being quoted

Before, our homepage opened the way most agency sites do, mood, promise, adjectives. It read well to humans and said nothing a machine could repeat.

After, the first block of copy became a plain declaration: who we are, what we do, where we're based, who we serve. A web design and digital branding agency, founded in Nigeria, serving clients in the US, UK, and Spain, stated like a fact, because it is one.

The reasoning: AI systems assemble answers from sentences they can lift cleanly. If your identity has to be inferred from vibes, you lose to any competitor who states theirs outright. We call this entity-clear copy, every important page should contain at least one sentence that works as a standalone answer to "who is this?"

The surprise: writing this way made the site better for humans too. Visitors decide fast. Clarity converts.

Change 2: We added a JSON-LD layer under everything

We implemented structured data across the site, Organization schema declaring the business entity, Service schema for each offering, and FAQPage schema wherever we answer questions.

The reasoning: schema is how a website introduces itself to machines without relying on interpretation. It's the difference between a shop with a signboard and a shop the AI has to peer into and guess about.

The honest part: this was the most tedious step and the least visible one. Nothing on the page looks different. But structured data is disproportionately load-bearing for AI overviews and voice search, and skipping it because it's invisible is like skipping the foundation because guests only see the paint.

Change 3: We restructured pages as answers, not brochures

We went through the questions prospects actually ask us, what does a website cost, how long does it take, do you work with businesses outside Nigeria, what happens after launch, and made sure each had a direct, findable answer on the site, marked up with FAQ schema.

The reasoning: people ask AI questions. AI retrieves answers. A site with no question-shaped content is opting out of the entire interaction. This "answer-first" structure became the design principle for the whole rebuild, the site assumes you arrived with a question and tries to resolve it before asking anything of you.

Change 4: We cut the copy that only existed to sound impressive

Every paragraph got one test: does this help someone decide, or does it just decorate? The decorative ones died. What survived is shorter, more specific, and, this was the uncomfortable discovery, more persuasive, because specificity is what trust is made of.

What we'd tell a business doing this

  1. Start with the one-sentence test. If your homepage can't produce a clean answer to "what is this business?", nothing downstream works.
  2. Do the schema even though it's boring. Especially because it's boring, your competitors are skipping it for the same reason.
  3. Mine your inbox for content. Your real FAQ is sitting in the questions clients emailed you before hiring you.
  4. Expect compounding, not fireworks. These changes get re-crawled in weeks and pay off over months. It's infrastructure, not a stunt.

We now run this same process for clients as our AI search service, but everything in this article is doable in-house if you have the patience. We're telling you exactly what we did because the value isn't in the secret. It's in the execution.

FAQ

Questions people ask.

The thinking took longer than the building, a few weeks of rewriting and restructuring, then implementation. The schema layer was days of careful, unglamorous work.

Want this done for your business, with the same transparency? Start here.