Get Found Where AI Answers Come From

Traditional SEO is designed to improve your rankings in Google's standard search results, where users see a list of links and choose one to click. LLM SEO is designed to get your business cited inside AI-generated answers, where the user receives a recommendation directly and may never scroll through a list of links at all.

The two approaches share some technical foundations, like structured data and quality content, but LLM SEO adds a layer of entity signal work and citation monitoring that standard SEO packages do not include.

We run systematic, documented query tests across ChatGPT, Perplexity, Google AI Overviews, and other platforms for the specific questions your prospective clients are asking. We record whether your business appears, how it is described, and whether the information is accurate.

These tests are repeated monthly so we can track changes over time. The results go directly into your monthly report, with plain-language commentary on what changed and why.

Entity architecture and technical work completed in the first two months begins influencing AI model indexing over the following two to three months, depending on how frequently the platforms update their knowledge.

Most clients in established markets see meaningful changes in AI citation presence within four to six months of the engagement start. Content-driven organic traffic tends to grow more gradually over a six to twelve month window. We document the baseline at the start so progress is measurable against a real starting point.

Your website does not need to be large or technically sophisticated, but it does need to exist and be functional. We will identify any technical issues during the discovery audit and address them as part of the foundational work.

If your website has significant structural problems, we will flag these before engagement begins so you have a clear picture of what is required.

Content is written by specialists who have research-level familiarity with your industry and regulatory environment. Each piece goes through a factual review round with your team before publication. We do not publish anything that has not been confirmed accurate by a subject-matter contact on your side. In regulated industries, factual precision is not optional, and the review process reflects that.

No, and any service that makes that guarantee is not being honest with you. AI models make citation decisions based on signals across the web, and no single party controls that outcome. What we can guarantee is that the documented signals we build are the ones that consistently influence those decisions, and that we will show you exactly where your presence stands at every point in the engagement. The process is designed to improve your probability of citation, not to promise an outcome no one fully controls.

Yes. The Foundation tier is specifically designed for solo practitioners and small practices. The investment required is calibrated to what is actually needed to build entity presence and topical authority at that scale.

Many of the businesses that benefit most from early AI citation work are smaller practices that were previously invisible in AI answers simply because they had not built the structured signals larger firms had.