From SEO agency expertise to Seovara: an AI-powered SEO intelligence platform.

Develop an SEO intelligence platform that helps digital marketing agencies and SEO professionals manage important search visibility activities from one dashboard.

The objective was to bring together traditional SEO monitoring and emerging AI search visibility capabilities. Rather than relying on disconnected tools for website audits, keyword monitoring, competitor research and AI visibility checks, Seovara was designed to provide these capabilities within one platform.

The intended audience includes boutique digital marketing agencies, SEO freelancers and independent consultants.

We approached Seovara as a modular SaaS platform, building its core infrastructure before expanding into specialized SEO and AI-powered capabilities. The product strategy focused on five areas:

• Technical SEO intelligence: identify website health issues and provide actionable optimization recommendations.
• Search performance monitoring: track Google keyword positions and historical ranking changes.
• Competitor intelligence: compare keyword performance and identify competitive opportunities.
• AI search visibility: monitor whether AI assistants mention businesses and identify sources cited in their responses.
• Agency reporting: provide professional, white-label reports that agencies can share with clients.

The platform was designed with subscription-based access, account isolation and agency-oriented workflows in mind.

Seovara was developed as an internally funded product by Alade Web & SEO. The investment involved product planning, software development, third-party API integrations, infrastructure configuration, testing and ongoing feature development.

The platform uses subscription infrastructure through Paystack. No client project budget or financial return is claimed in this case study.

Product strategy, development and implementation were handled by Alade Web & SEO.

• SaaS infrastructure: application architecture, authentication, database structure and user-specific data access using Next.js, TypeScript and Supabase.
• SEO audit engine: a website auditing system that identifies technical and on-page SEO issues and generates actionable recommendations.
• Google rank tracking: DataForSEO integration for keyword position monitoring and historical ranking data.
• Competitor analysis: comparison of tracked keyword performance against competing websites.
• AI search visibility: OpenAI API integration to check AI-generated responses for brand mentions and identify cited sources.
• Subscription and payments: Paystack integration for subscription payments.
• Reporting and history: historical performance views, SEO issue tracking and white-label PDF reporting.

The platform is deployed on Vercel, with Supabase providing its database and authentication infrastructure.

The development resulted in a working SaaS platform with the following capabilities:

• Website SEO audits: technical and on-page analysis, with actionable recommendations.
• Google keyword rank tracking: keyword positions and historical ranking performance.
• Competitor analysis: keyword visibility compared against competing websites.
• AI search visibility monitoring: checks whether AI assistants mention businesses in relevant responses and identifies cited sources.
• Local SEO checks: evaluation of local business information, including NAP consistency and structured data signals.
• White-label SEO reporting: reports that agencies can present to their clients.
• Subscription infrastructure: subscription and payment functionality through Paystack.

Product website: seovara.com

• Modular development matters. Building capabilities as connected modules makes it easier to expand the platform without rebuilding its foundation.
• Data quality is essential. SEO recommendations and visibility reports must be based on actual retrieved data rather than assumed performance.
• AI visibility is different from traditional rankings. AI-generated answers and cited sources need a different monitoring approach from conventional keyword tracking.
• Agency workflows require more than analytics. Reporting, client management and understandable recommendations are important parts of an agency-oriented platform.
• Product development is continuous. A working platform is not the end of development. Testing, refinement and additional integrations remain important.

Seovara is an actively evolving product. Its capabilities are distinguished here from features that are still planned or under development.

Our development roadmap focuses on expanding Seovara into a more comprehensive SEO intelligence and agency growth platform. Planned areas include:

• AI agent integration: MCP support to allow compatible AI agents to access authorized SEO data.
• AI proposal and quote generator: help agencies prepare SEO proposals and service quotations.
• Auto-remediation: generate implementation-ready SEO fixes and optimization recommendations.
• Competitor citation intelligence: identify opportunities where competing businesses receive AI citations.
• Agency lead generation: white-label SEO and AI visibility scans that agencies can embed on their websites.

These are development roadmap items, not claims of currently available functionality.