AI SEO ServicesRank in AI search,
AI Overviews & classic results.

AI SEO is optimising so your brand and content are surfaced and cited by AI-driven search experiences — Google’s AI Overviews, ChatGPT, Perplexity, Gemini and Copilot — while maintaining classic organic rankings. It emphasises entity clarity, extractable verifiable claims and cross-source corroboration rather than keyword targeting alone.

They overlap substantially. GEO focuses specifically on generative platforms, AEO on direct-answer surfaces like snippets and voice, and AI SEO is the broader programme covering both alongside classic rankings. In practice we run them as one engagement because they share entity work, structured data and answer-first content.

Indirectly but meaningfully. You cannot edit a model, but you can change what it retrieves and how confidently it resolves your brand. Consistent entity data, specific verifiable claims and corroboration across independent sources measurably change citation behaviour. We baseline before and sample after, so the effect is observable rather than asserted.

By systematically prompting each surface across your category’s question set on a fixed cadence and recording who gets cited, how often and in what context. That produces a citation-share metric benchmarked against competitors. Rank-tracking tools cannot see any of this, which is why most reporting on it is guesswork.

It is reshaping it rather than eliminating it. Informational clicks are genuinely being absorbed, while commercial and transactional queries still reliably produce clicks. The strategic response is to be the cited source for research queries and hold classic rankings for commercial ones — which is precisely why we run both together.

No, and treating it as a replacement is a mistake. Classic organic rankings still drive the majority of commercial traffic for almost every client. AI SEO extends visibility into surfaces that increasingly own the research phase. They share infrastructure, so running both is considerably more efficient than running either alone.

Entity and structured data work can affect citation within four to eight weeks. Corroboration campaigns take longer — typically one to two quarters — because they depend on independent publications picking up your claims. Citation share compounds as more of your claim set becomes corroborated.

It is common and worth monitoring for. Models repeat what they retrieve, so inaccuracies usually trace to outdated or inconsistent information somewhere on the web. We identify the source, correct it, publish authoritative dated content, and track until the correction propagates. Caught early this is straightforward; left alone it becomes difficult to reverse.