We structure your content, schema, and brand signals so ChatGPT, Perplexity, Gemini, and voice assistants recommend your business directly — capturing high-intent customers before they ever reach a search results page.
Standalone AI models pull from a different pool than Google’s organic results — research using Ahrefs Brand Radar (15,000 prompts, via Omnibound) found only 12% overlap between what ranks in Google’s top 10 and what ChatGPT or Perplexity actually cite. Ranking well is no longer enough on its own.
Most businesses haven’t caught up: only 37% of marketing teams are actively optimizing for AI search, and just 14% track whether AI platforms mention their brand at all — even though 43% now call it a core priority. The gap between planning for AI search and actually measuring it is where most businesses are stuck.
Organization, FAQPage, and HowTo schema built in precisely, so AI engines can parse exactly who you are and what you offer.
Pages rewritten to answer real questions directly and clearly — the format AI engines extract from, not keyword-stuffed copy.
AI engines weigh brand mentions across third-party sources more heavily than backlinks — we build that footprint deliberately.
Content formatted for ChatGPT, Perplexity, Gemini, Google AI Overviews, and voice assistants like Alexa and Siri — not just one platform.
One clear scope, whether it’s a first-time AI visibility audit or an ongoing citation-building program.
Visibility inside the answers people actually get, not just the links they scroll past.
We test your target queries across ChatGPT, Perplexity, Gemini, and Google AI Overviews to see where you’re already mentioned — and where a competitor is cited instead.
Organization, FAQPage, and HowTo schema go in precisely, alongside answer-first content rewrites, so AI engines can parse exactly who you are and what you do.
We build the brand mentions across third-party sources that AI engines weigh more heavily than backlinks — the signal that actually shifts citations.
AI referral traffic and citation frequency are tracked in one dashboard, so you can see exactly when and where your brand starts showing up.
Schema.org structured data · Google Search Console · Google Analytics 4 · AI citation & share-of-voice trackers · ChatGPT & Perplexity manual testing · Looker Studio
Timeline: once schema and entity foundations are live, first AI citations typically appear within 30–60 days; building a consistent, competitive share of voice across engines usually takes 3–6 months, since it compounds alongside your brand-mention footprint.
Multi-engine, not one-platform. ChatGPT, Perplexity, Gemini, AI Overviews, and voice assistants barely share the same sources — we optimize for each, not just one.
Authority, correctly weighted. Brand mentions correlate with AI citation far more strongly than backlinks do — that’s where we put the effort.
Schema done precisely. Organization, FAQPage, and HowTo markup implemented correctly, not bolted on as an afterthought.
Tracked, not assumed. Citation frequency and AI referral traffic are reported, so you can see the shift happening.
AI referral traffic converts well above average — but only if it’s tracked. Once your brand starts appearing in AI answers, that traffic needs to be labeled, attributed, and measured, not lumped in as unlabeled ‘direct’ traffic. That’s the other half of the stack.
Before: Ranked reasonably well on Google, but never appeared when customers asked ChatGPT or Perplexity about its category.
Diagnosis: No structured data, no entity clarity, and content wasn’t formatted for AI extraction — the Google ranking simply wasn’t transferring.
Fix: Added Organization and FAQPage schema, rewrote key pages in answer-first format, and built a brand-mention footprint across third-party sources.
Result: Began appearing in ChatGPT and Perplexity answers for its core category queries within weeks of the schema and content work going live.
Before: A close competitor was consistently recommended by AI assistants for near-identical queries, despite a comparable product.
Diagnosis: The competitor had a far larger footprint of mentions across forums and review sites — AI engines were treating that repetition as trust.
Fix: Built a targeted brand-mention and digital PR plan alongside on-site entity clarity, aimed at the sources AI engines actually cite.
Result: Began appearing alongside, and in several queries ahead of, the competitor in AI-generated recommendations.
Before: Traffic and leads were arriving from AI platforms but showing up as unlabeled ‘direct’ traffic in analytics, with no way to prove the channel’s value.
Diagnosis: Standard analytics wasn’t isolating AI referral sources, so above-average-converting AI traffic was invisible in reporting.
Fix: Configured AI-source referral tracking and lead-source tagging to separate ChatGPT, Perplexity, and AI Overview traffic from the rest.
Result: AI referral traffic became a visible, trackable line in reporting — converting noticeably higher than average organic traffic.
Book a free AI visibility audit and we’ll show you where your brand already appears, where a competitor is cited instead, and what it would take to change that.
AEO is the practice of structuring content, schema, and brand signals so AI systems like ChatGPT, Perplexity, Gemini, and voice assistants cite or recommend your business directly in their answers.
SEO targets ranking position in Google’s blue links. AEO targets citation inside AI-generated answers — a different, often non-overlapping set of sources and signals, though the two work best together.
ChatGPT, Perplexity, Google Gemini, and Google AI Overviews are the primary focus, since each pulls from a different mix of sources and needs its own approach.
Yes. Voice assistants pull from the same structured, answer-first content foundation as AI chat engines, so voice optimization is built into the standard scope.
No — research shows only around 12% overlap between Google’s top 10 and what standalone AI models actually cite, so ranking and AI citation need to be worked on separately.
Organization, FAQPage, and HowTo schema markup, plus rewriting key pages so they answer real questions directly and clearly — the format AI engines extract from.
We run your target queries across ChatGPT, Perplexity, and Google AI Overviews on a regular basis, and configure analytics to isolate AI referral traffic from the rest of your reporting.
Once schema and entity foundations are live, first citations typically appear within 30–60 days; a consistent, competitive share of voice usually takes 3–6 months to build.
Yes, if AI-driven search matters to your customers — SEO and AEO overlap only partially, and AI referral traffic tends to convert well above average once it’s captured.
Yes — book a free AI visibility audit and we’ll show you exactly where you’re already showing up, where a competitor is cited instead, and what’s missing.
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