Getting cited by AI search tools like ChatGPT and Perplexity is not theoretical for Harzotech — it is a process we have run directly on our own SaaS product, StayQuora, a hotel management platform built for Nigerian and African hotels. Here is exactly what we changed, why, and what we watched happen as a result, as an honest walkthrough rather than a polished success story.
The Starting Point
Before this work, StayQuora's website was structured like most product sites: a homepage describing features, a pricing page, and a handful of marketing pages. It read fine to a human visitor, but it gave an AI crawler almost nothing specific to extract. If someone asked ChatGPT "what hotel management software should a small Nigerian hotel use," there was no clear, quotable answer on the page for a model to lift — just generic feature lists and marketing language.
What We Changed
Rewrote pages to answer the real question first
Instead of opening with brand language, every key page on the StayQuora site was rewritten to state plainly, in the first two sentences, what the product does, who it is for, and what problem it solves — a hotel management system built specifically for the realities of running a small to mid-sized hotel in Nigeria, covering bookings, front desk operations, and reporting in one system.
Added structured, comparison-style content
We published honest comparison content addressing how a Nigeria-built system differs from generic international hotel software — being priced for the local market, supporting local payment rails, and built with an understanding of local internet and infrastructure conditions. This kind of specific, checkable claim is exactly what AI models look for when deciding what to cite over vague marketing copy.
Implemented Product and FAQPage schema
Structured data was added declaring the product category, target users, and core features in machine-readable form, alongside an FAQ section addressing the actual questions hoteliers ask — around pricing, offline functionality, and staff training — marked up so AI crawlers could extract them directly.
Built topical depth around hospitality technology
Rather than a single product page, we built out genuine supporting content around hotel operations, reservations, and property management in the Nigerian context, giving the domain real topical depth instead of one isolated page trying to rank alone.
What We Observed
Over the following months, we began seeing StayQuora surface in AI-generated answers to hospitality software queries in ways it had not before the changes — a direct result of the content now being structured in a form AI models could confidently extract and quote, rather than paraphrase or skip. This mirrors what we now build into every AI SEO engagement: the technical structure and the content clarity have to work together, or an AI model has nothing solid to cite.
What This Means for Other Nigerian Businesses
The lesson is not specific to hospitality software. Any Nigerian business — a healthcare group like Beaconhill Smile Group, a consulting firm like R3 Consulting, or a retail brand using our custom SaaS platforms — can apply the same process: answer real questions directly, back claims with specific facts instead of marketing language, add proper schema, and build genuine depth around your actual specialty. AI citation is not random. It follows structural patterns that any well-built website can be optimized for.
Applying This to Your Business
This process is exactly what we run through our AI SEO service for client websites — auditing current AI visibility, rewriting key pages for direct extractability, adding schema, and tracking citation changes over time. It is slower and more deliberate than chasing keyword rankings, but for businesses willing to do the structural work, the payoff is being the name an AI tool recommends by default.
What We Would Do Differently
In hindsight, the biggest early mistake was assuming good product content alone would be enough. AI citation genuinely rewards the structural layer — schema, clear headings, direct answers — as much as it rewards the writing itself. A page can describe a great product beautifully and still get skipped by an AI model if the structure makes the key facts hard to isolate. Businesses starting this process today can skip that lesson by building the structural layer in from day one, rather than retrofitting it later.
Why This Matters Beyond One Product
StayQuora was a useful proving ground precisely because it competes against established international hotel software brands with far larger marketing budgets. AI visibility does not require outspending a competitor — it requires being structurally clearer and more specific than they are on the exact questions buyers are asking. That is a fair fight any well-run Nigerian business can win, whether the product is hospitality software, an ERP platform like Factory Pulse, or a professional service like the ERP consulting R3 Consulting provides.
How Long This Realistically Takes
This is not an overnight change. Rewriting pages, adding schema, and building out supporting content takes real time to execute properly, and AI models take further time to re-crawl and re-evaluate a site's authority on a topic. Expect the first visible shifts within a couple of months of consistent work, with the effect compounding the longer the structural changes stay in place and get reinforced with fresh, specific content rather than treated as a one-time fix.
If you want the same kind of AI visibility work done for your business, book a consultation and we will walk through what your site currently looks like to ChatGPT and Perplexity today.