Technical Content for Experts by Experts

Brand mentions are the strongest signal — brands in the top 25% for web mentions get roughly 10× more AI visibility, far ahead of backlinks. After that: organic rankings (around 76% of AI Overview citations come from pages already in Google’s top 10), content backed by citations, statistics and quotes (which can lift visibility up to 40%), freshness, and structured formats like comparison pages. Notably, old SEO tricks like keyword stuffing have almost no effect — generative engines reward credibility and clarity, not density.

SEO gets you ranked; GEO gets you cited and recommended inside the answer itself. Traditional SEO optimizes pages for blue links, while GEO optimizes how AI engines understand, trust, and reference your brand across ChatGPT, Claude, Perplexity and Google AI Overviews. The two are connected — your SEO foundation still determines whether AI can find you — but being the recommended answer is a different game, and it’s the one we specialize in.

We make your product the obvious answer when a developer asks a coding agent “what should I use for X.” A big part of that is optimizing for Brave Search — Claude’s web search (including Claude Code) is powered by Brave, so how you rank there directly shapes what Claude surfaces and recommends. Alongside that, we make your docs and API references machine-readable, add clear, copy-pasteable code examples, and build presence in the sources these tools pull from — GitHub, package registries, Stack Overflow and developer communities. Getting surfaced inside Claude Code, Cursor and Copilot workflows is a high-intent channel most agencies don’t even think about. AUQ does.

Because LLMs reward accuracy and depth, and your buyers — CTOs, developers, compliance officers — won’t tolerate anything less. AI engines preferentially cite content that’s factually dense, well-sourced and clearly structured; adding real statistics, citations and expert detail can boost a page’s visibility by up to 40%. We write content that holds up to technical scrutiny, which is exactly what gets cited and what converts a technical buyer.

AUQ earns consistent, positive mentions in the third-party sources LLMs weight most — and since brand mentions are the #1 correlated factor with AI visibility, this is where a lot of the results come from. That includes Reddit, G2, Stack Overflow and developer communities, industry publications, YouTube and LinkedIn, plus entity work in Wikipedia and Wikidata so models recognize and correctly describe your brand. Because each engine pulls from different sources (about 89% of AI citations differ by platform), we build presence broadly rather than betting on one.

AUQ implement it. Most agencies deliver a slide deck and a backlog for your team to figure out — we ship the work ourselves: content, schema, llms.txt, site changes, design and front-end development, all with our in-house team. An audit only creates value once the fixes are live, so we own the whole chain from strategy through execution to measurement.

It’s a steady, repeatable system that produces the formats AI cites most — comparison and “best-of” pages (nearly 44% of ChatGPT citations are listicles), definitions, how-tos, documentation and data-backed pillars — structured for extraction and written by people who understand your domain. AUQ blends expert human writing with AI-assisted production to scale without losing depth, and we refresh content on a schedule, because pages updated in the last 30 days get cited at several times the rate of stale ones. The result is a library that compounds in both Google and AI answers.

It works especially well for B2B SaaS. 51% of B2B software buyers now begin their research in an LLM (up from 29% a year earlier), and 94% use AI somewhere in the buying process — often on high-intent “X vs Y” and “best tool for…” queries where being the recommended answer directly influences the shortlist. We focus exclusively on technical B2B categories — developer tools, fintech and martech — so the strategy and content are built for how your buyers actually research.

We track it differently than SEO, because clicks alone don’t capture it. We monitor your share of voice and citation frequency across each engine, watch competitor movement, track which AI bots are crawling your site, and connect AI-referred visits to trials, demos and pipeline. You get a clear picture of what shifted and why — not vanity traffic charts. AUQ uses tools like promptwatch, semrush, ahrefs and our own house built reporting tools.

Early visibility shifts can appear within weeks — especially from technical fixes and content refreshes that AI re-crawls quickly — while the bigger gains from authority and citation building compound over three to six months. GEO behaves like SEO in that the early work feels gradual and then accelerates, so the brands that commit consistently end up owning answers competitors can’t easily break into.