RAG vs Fine-Tuning: Choosing the Right LLM Approach for Your Product
Both RAG and fine-tuning improve LLM performance on your specific use case — but they solve different problems. Here's how to choose.
Rank in search. Appear in AI. Grow your audience.
THE CHALLENGE
OUR APPROACH
We audit your current digital presence, map the gap between where you are and where AI-powered search is evolving, and build a marketing programme that covers traditional SEO, paid channels, and the new AI visibility layer — so you grow on all fronts.
What you receive
OUTCOMES
Improved organic rankings for target commercial keywords
Brand citations in Google AI Overviews and generative search engines
Increased qualified traffic and lead volume from search
A documented content and SEO system your team can own long-term
OUR DIFFERENCE
We optimise for both traditional Google rankings and the new AI visibility layer — AIO, GEO, and LLM citations.
Every decision is backed by keyword data, citation audits, and competitor benchmarking — not guesswork.
From technical SEO to content, paid search, and AI citation building — one team handles the complete acquisition engine.
USE CASES
Get your software development or IT services brand cited in AI answers when prospects search for vendors in your category.
Build a content and SEO engine that drives consistent qualified inbound traffic — without dependence on paid ads.
End-to-end digital marketing from SEO and content to paid search — one team managing the full acquisition funnel.
HOW IT WORKS
Full technical SEO audit, keyword gap analysis, AI citation audit, and competitor benchmarking.
Content strategy, AI visibility roadmap, paid media plan, and 90-day execution calendar.
On-page fixes, content production, link building, AIO/GEO optimisation, and ad campaign launch.
Monthly reporting, iterative optimisation, citation monitoring, and strategy adjustment based on results.
Best suited for
Not the right fit for
Engineering Stack
38 production-grade technologies — every one battle-tested in shipped products.
INVESTMENT
Get a detailed proposal within 48 hours. No commitment required.
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Traditional SEO optimises for Google's algorithm to rank blue links. GEO (Generative Engine Optimisation) optimises for AI systems — ChatGPT, Perplexity, Google AI Overviews — so your brand gets cited when those engines answer questions related to your business. Both matter; we do both.
AIO SEO stands for AI Overview Optimisation. It focuses specifically on earning citations in Google's AI Overviews — the AI-generated summaries that now appear at the top of Google results for many queries, above traditional rankings.
Technical fixes and on-page changes typically show impact within 4–8 weeks. Content-driven organic growth takes 3–6 months to compound. AI citation programmes can show measurable improvement within 6–10 weeks once content changes are indexed.
FROM OUR CLIENTS
The team took our AI concept from whiteboard to production in 10 weeks. The architecture they designed handles 10x our expected load with no issues.
Insights
A collection of detailed case studies showcasing our design process, problem-solving approach,and the impact of our user-focused solutions.
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