AI SEO services for the answer-engine era.

AI SEO is the discipline of making sure large language models — ChatGPT, Perplexity, Gemini, Google AI Overviews — actually know about your brand and cite it correctly when someone asks a relevant question. Unlike classic SEO, there is no single "ranking page" to influence; instead, these models learn from a mix of training data, retrieval-augmented sources and real-time web crawling, so visibility depends on how cleanly your brand's facts, entities and expertise are represented across the web, not just on your own site.

In practice this means three things working together: structured, unambiguous entity data (schema markup, a consistent Wikidata/Wikipedia presence, clean NAP data), content written to be quoted accurately (clear claims, defined terms, source-backed facts), and a trust footprint across the sources LLMs actually draw from — Reddit, G2-style review sites, industry publications. We audit all three and build the gaps out systematically, then track share-of-voice across a defined set of prompts your buyers are actually typing.

Brands that skip this work are not invisible to AI engines by choice — they are simply never mentioned, because there is no clean, citable fact pattern about them anywhere an LLM would draw from. This is especially risky for category leaders who assume their market position automatically translates to AI visibility; it does not, because LLMs cite based on source clarity and trust signal, not market share. We have seen smaller, better-documented brands out-cite established category leaders in AI answers simply because their entity data and third-party source coverage were cleaner. The fix compounds slowly but durably: every piece of consistent, accurate, well-sourced content about your brand published anywhere on the web adds to the pattern an LLM can learn and retrieve from, and unlike a Google ranking that can be displaced by a single competitor update, AI citation share tends to be sticky once established, because retraining and retrieval indexes do not refresh as frequently as search rankings. Most clients see meaningful movement in prompt-level visibility within 60–90 days of consistent entity and content work.

This service makes most sense for brands that already have some digital footprint and expertise worth surfacing — a startup with no published content, no reviews and no press has nothing for an LLM to cite yet, and the honest first step there is building that foundational content and authority, which we would scope as SEO or digital PR work before layering AI SEO on top. For established brands with a real but under-documented footprint, this is usually one of the faster-paying-off services we run, since the gap is often one of structure and visibility rather than needing to build expertise from scratch.