Capabilities and focus
The two agencies overlap across SEO, which makes a direct comparison useful. Search On Media Group is assessed as strong for AI SEO and strong for established SEO work. Its distinctive listed capabilities include Thought leadership, AI search. SEO Cube is assessed as established for AI SEO and leading for SEO, with Technical SEO, Content helping to distinguish its offer. These labels compare the range and public evidence visible during the August 2026 assessment; they are not guarantees of a particular ranking, citation or commercial outcome. Buyers should ask each agency to show recent work that matches the technical environment, market and search problem in the brief.
Working model and engagement
Search On Media Group is listed for mid-market organisations in the $$ engagement band. SEO Cube is listed for growth organisations in the $$ band. The dollar symbols are relative comparison bands rather than quoted fees, and a higher band is not a quality score. Scope, senior involvement, location, contract length and implementation support can all change the real cost. Because both agencies are listed in Italy, buyers can concentrate on delivery model and team fit rather than comparing two entirely different market contexts. Ask both agencies to price the same written scope so that retainers, projects and optional work can be compared on a like-for-like basis.
Evidence and expected output
Leading Search List reviewed 1 public source for Search On Media Group and 1 for SEO Cube. That evidence supports an editorial comparison, but it does not replace buyer due diligence. Search On Media Group and SEO Cube have different stated buyer fits. Before appointing either agency, request a named delivery team, a ninety-day plan, reporting examples and two case studies that resemble your organisation. For AI SEO, ask how the agency measures visibility in Google AI Overviews, ChatGPT, Gemini and Perplexity without separating that work from technical SEO, authority and useful content. The strongest proposal should connect outputs to a commercial objective and state which recommendations the agency will implement itself.