Capabilities and focus
The two agencies overlap across SEO, which makes a direct comparison useful. Good Oil Marketing is assessed as established for AI SEO and strong for established SEO work. Its distinctive listed capabilities include Local SEO, Growth. HornTech SEO is assessed as strong for AI SEO and leading for SEO, with AI search, Technical SEO 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
Good Oil Marketing is listed for growth organisations in the $$ engagement band. HornTech SEO is listed for growth organisations in the $$ 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 New Zealand, 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 Good Oil Marketing and 1 for HornTech SEO. That evidence supports an editorial comparison, but it does not replace buyer due diligence. Good Oil Marketing and HornTech SEO 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.