B2B SEO & AI Search Optimization Methodology         How we get B2B software companies discovered, understood, and selected across Google & LLMs  

Both. Research, strategy, prioritization, implementation, measurement, and adjustment stay inside the same project, so the people making the recommendation also see what happens when it reaches production.

No. Frameworks standardize how we research, evaluate, prioritize, execute, and review work. They do not standardize the conclusion. Different companies, markets, products, competitors, websites, and commercial priorities should produce different plans.

We work backward from commercial value and evaluate opportunities against intent, evidence strength, probability of impact, competitive whitespace, dependencies, and effort. Foundational work can take priority when it changes the conditions everything after it operates under.

As connected parts of the same search environment. AI systems rely on websites, search indexes, entities, technical accessibility, external sources, and authority, so GEO/AEO is not treated as a detached add-on to SEO.

No. Search and AI answers are non-deterministic and change with the engine, model, prompt, context, competitors, sources, and time. We focus on improving the probability of favorable positioning across these changing conditions.

The first phase establishes company context, market model, baseline, diagnosis, and priorities. It requires more input from the client initially because product, buyer, technical, commercial, legal, and historical context has to be understood before execution scales. After that, most ongoing work shifts to Omnius.

There is no universal timeline. Starting position, authority, technical condition, existing content, market competitiveness, implementation speed, and the type of opportunity all affect how quickly movement appears. Some changes can produce early results; meaningful organic growth usually compounds through sustained execution.

Yes. Responsibilities can range from full execution by Omnius to a co-sourced model where the client retains selected parts of implementation. The split is defined around the company’s internal capabilities.

B2B software companies with enough product and market clarity to model the opportunity, willingness to share the context and data required to make good decisions, and the ability to approve or implement meaningful changes. It is not a fit for one-off audits or companies that are still too early to define a reliable product and ICP.

Omnius does not use fixed packages or one-size-fits-all pricing. Scope and pricing are defined around the company, the market, and the opportunity.

A PLG SaaS company in a relatively open category requires a different mix of strategy and execution than a sales-led enterprise fintech in a saturated market. Business model, go-to-market motion, competition, existing authority, technical state, AI Search positioning, and commercial priorities all change what the right scope looks like.

We first evaluate whether there is a strong fit and whether Omnius is the right partner for the problem. Proposals are only prepared for companies we believe we can materially help; working with Omnius is not an open, standardized service available to every company that inquires.

For companies we proceed with, we first understand the company and market, then define and price the work with the strongest commercial case. The proposal shows exactly what is included, why it is included, and what it is expected to contribute to.

Omnius works exclusively with B2B software companies across SaaS, Fintech, AI, and Enterprise software - from VC-backed startups and scaleups to large enterprise companies.

Company size or funding stage is not the filter. What matters is that the company has a clear product, market and growth direction, and that organic positioning across Google and AI Search has a meaningful role in that direction.

Very early companies still defining the product, ICP, or whether organic positioning matters at all are usually not the right fit.