Rank in ChatGPT, Perplexity, and Google AI Overviews.
When buyers ask an AI for recommendations, your business either shows up or it doesn't. AI Search Optimization is the work of being the answer — not just one of ten blue links hoping someone scrolls.
Three levers. One AI-search footprint.
AI search isn't one thing to rank for — it's a whole new surface area. We work the three levers that decide whether an LLM cites you or someone else when a buyer asks.
Training-data surface area
LLMs learn from the places they scrape. We build your presence on the sources that actually feed them — GitHub, Reddit, Stack Exchange, industry wikis, and authoritative publications — so when models retrain, you're in there.
Citeable formatting
LLMs extract answers from cleanly structured content. We format service pages, FAQs, and articles so models can lift clean quotable chunks — with sources, definitions, and lists built for retrieval.
AI-answer monitoring
You can't improve what you can't measure. We run a panel of buyer-intent queries against ChatGPT, Perplexity, Claude, and Google AI Overviews every week — and track whether, where, and how you get cited.
When a buyer asks ChatGPT for a recommendation.
Same prompt. Two different outcomes. If the LLM doesn't know you exist, it picks someone who shows up in its training data and citations — and the buyer never sees you.
Your competitors get the answer.
- Brand never appears in ChatGPT or Claude when asked for recommendations
- Google AI Overviews cite the same 3 competitors every time
- No presence on Reddit, Stack Exchange, or industry wikis
- Service pages read like marketing brochures — nothing for a model to quote
- Zero visibility into where or why you're invisible
- Buyers accept the AI's shortlist — you never even get the chance
You're the recommendation.
- Consistently cited by ChatGPT, Claude, and Perplexity on target queries
- Featured in Google AI Overviews for buyer-intent prompts in your niche
- Active presence on Reddit, Stack Exchange, and industry wikis — the scraped sources
- Service pages restructured with definitions, FAQs, and quotable chunks
- Weekly panel reports tracking AI-share vs. top 5 competitors
- AI search becomes a real acquisition channel, not a blind spot
What owners ask first.
Honest answers. AI search is new enough that a lot of agencies are guessing — we'd rather tell you what we actually know.
Isn't AI search just the same as regular SEO?
Related, not the same. Classic SEO ranks URLs; AI search cites entities and quotable content. Strong classic SEO helps (it's where some of the retrieval happens), but it's not sufficient — training-data presence, citeable formatting, and entity reinforcement matter independently.
How long until I show up in ChatGPT answers?
It depends on the engine. Perplexity and Google AI Overviews use live retrieval and can pick you up inside 30 days once the content is structured right. ChatGPT and Claude rely on training data that updates slowly — you'll see movement in 60–120 days, steady citations at 6+ months.
Can I just ask ChatGPT to recommend me?
No. Paid placement isn't a thing in LLM answers (yet), and "prompt injection" on your own site doesn't propagate. The only reliable lever is being a recognized entity with structured, quotable content on sources the models actually use.
Does this replace Entity SEO?
No — it builds on it. Entity SEO is the foundation: it makes Google and LLMs recognize you as a real thing in your niche. AI Search Optimization then goes further, specifically shaping how you appear in generative answers across four engines.
Is this worth it if my buyers don't use AI yet?
They will within the next 12–18 months, and being visible in AI answers compounds slowly. The businesses that wait until adoption hits will find themselves 2 years behind in training-data footprint — which is not a gap you close overnight.
See who ChatGPT recommends instead of you.
Book 15 minutes. We'll run your top 10 buyer-intent prompts through ChatGPT, Claude, and Perplexity live — and show you exactly who's being cited and why.