AI SEO Services That Get You
Cited, Not Just Ranked

AI SEO is the practice of optimizing a brand to be found, understood, and cited by AI systems that generate answers — ChatGPT, Perplexity, Gemini, Claude, Copilot, and Google's AI Overviews — rather than only ranking in a list of blue links.

It shares a foundation with traditional SEO: both need a crawlable, fast, credible, well-structured site. The difference is what happens next. A ranking algorithm sorts pages; a language model composes an answer and names three or four sources. Traditional SEO optimizes for position. AI SEO optimizes for being one of those named sources.

No, and you should be skeptical of anyone who says it does. Traditional SEO remains the foundation — if your site isn't crawlable, fast, and credible, it won't be retrieved by anything, ranking algorithm or language model.

What AI SEO adds is a layer on top: entity resolution, schema depth, answer-shaped content structure, and third-party citation building. In practice, most of that work improves classic organic performance at the same time.

Retrieval fixes can move things fastest. If a crawler is blocked or your pages render empty, unblocking that can change visibility within weeks of the next crawl cycle.

Entity authority and citation building are slower — typically two to four months before meaningful movement, because they depend on third-party sources being published and then re-crawled. We plan engagements on a 90-day first-movement window and report monthly throughout, so you're never guessing.

It's measurable, just not through the tools most teams already have. We build a benchmarked prompt set — typically 40 to 60 questions your category actually gets asked — and track, per platform, whether your brand appears, in what position, and against which competitors.

That produces a citation share figure that moves month over month. It isn't as clean as rank tracking, and we'll tell you where the uncertainty lies rather than pretending to a precision that doesn't exist.

ChatGPT, Perplexity, Google Gemini, Claude, Microsoft Copilot, and Google AI Overviews. Classic Google organic sits underneath all of it as the retrieval foundation.

The underlying work overlaps heavily across platforms — crawl access, entity clarity, and credible sources help everywhere. Platform-specific tactics matter at the margin, and we cover those on our individual platform pages.

No, and any agency offering that guarantee is either misunderstanding how these systems work or misrepresenting it. Model outputs are probabilistic, vary by phrasing, and change with every model update.

What we do commit to is the work being measurable: a documented baseline, a defined prompt set, monthly reporting on movement, and a clear account of what changed and why. You'll always know whether it's working.

Most of our clients are between 10 and 500 employees — SaaS, B2B, ecommerce, and technology brands with an established site and real revenue to protect. We also run enterprise engagements above that.

We're a poor fit for pre-launch startups with no site to optimize, and for businesses wanting a bundled package including paid media and social. We only do AI search visibility.

Standalone audits typically run in the low five figures as a one-off. Ongoing retainers generally start around $4,000–$10,000 per month for focused engagements, and $10,000–$25,000+ for competitive or enterprise programs.

Scope drives the number: site size, catalog complexity, how much technical remediation is needed, and how much citation-building work the market requires. Full detail is on our pricing page.

Yes, and it's a common arrangement. We frequently handle the AI visibility layer while an internal team or incumbent agency continues running content production and classic SEO.

It works best when responsibilities are explicit — we'll define who owns technical implementation, who owns publishing, and where handoffs happen, in writing, before work starts.

Analytics and Search Console access, CMS or developer access for technical implementation, and a named internal contact who can approve changes. For catalogs, product feed access as well.

The single biggest predictor of a successful engagement is having someone internally who can get technical changes shipped. Where that's a bottleneck, we'll scope implementation support rather than hand you a report you can't action.