Get recommended by the AI your buyers ask

AxionIQ engineers your content, structure and authority so ChatGPT, Perplexity, Gemini and Copilot cite you by name when a buyer asks. Answer-engine optimisation is the next frontier of organic discovery, and we treat it like an outcome, not a content marketing service.

What it does

We make you the source the model names. That means three things. First, the content itself: clear answer-first writing, original stats, named quotes, structured FAQs and the kind of evidence engines prefer to cite. Second, the structure: schema markup, clean information architecture, internal linking patterns and crawlable HTML that AI crawlers can parse without effort. Third, authority: getting referenced by the sources that AI engines lean on, so your name appears in their training and retrieval pools.

Critically, we measure citation share, not just rankings. You see exactly how often each engine recommends you, for which buyer prompts, week by week.

How AxionIQ implements it

Week one we build a buyer-prompt panel: the 30 to 60 real questions your prospects ask AI engines, in their own language. We baseline current citation share across the major engines, identify the prompts where you have a realistic chance to win, and audit the technical foundations. Week two onwards is editorial and structural work, paced to match the prompts we are targeting. We re-measure citations every week.

Princeton and Allen Institute's GEO study (KDD 2024) found that adding real statistics, quotes and sources lifted citation rates by up to 40 percent. Everything we publish follows that template, not because it sounds impressive, but because it is what the engines actually quote.

ROI examples

A professional services firm that ranked on Google for their service term but was never named by ChatGPT or Perplexity went from zero citations to being recommended by all three major engines for their top buyer prompts within four months. An e-commerce brand restructured product and comparison content with FAQ schema and original data, doubling the rate at which AI engines linked them in shopping-style queries. A B2B SaaS company added a thin layer of named-expert quotes and engineering stats to existing posts and saw their citation share rise from 6 percent to 23 percent on their target prompt set in eight weeks.

Where this fits

AEO pairs naturally with AI lead generation (the brand the model recommends gets the meeting) and customer support agents (which often share the same knowledge base). Strongest fit: professional services, SaaS, and high-consideration e-commerce and dental practices.

Common questions

Is AEO going to replace SEO?

Not entirely, not yet. Google still drives the majority of buyer research today. But Gartner expects roughly 25 percent of search to shift to AI engines by 2026, and buyer surveys already show 45 percent ask AI tools first (BrightLocal, 2026). The job is to win on both at once. Most of what we do for AEO also helps SEO.

How do you measure AI search visibility?

We run a panel of buyer prompts across ChatGPT, Perplexity, Gemini and Copilot at a regular cadence, log which brands get cited for each prompt, and track your share of citations week by week. You see, in plain numbers, how often you are recommended for the queries that matter to your business.

How long until we get cited?

For prompts where you have real authority and the right content structure, citations can appear within four to six weeks. For competitive prompts dominated by larger players, expect three to six months of consistent work. We tell you which prompts are realistic before we start.