What is AI SEO — and how does it differ from what you're already doing?
AI SEO is the discipline of being findable across every engine that answers questions: Google's classic results, its AI Overviews, and conversational engines like ChatGPT, Perplexity and Gemini. It subsumes three overlapping practices — SEO (rank in results), AEO (be the extracted answer), and GEO (be recommended and cited by generative engines).
The practical difference from classic SEO: generative engines don't rank pages, they synthesize answers from sources they trust. Winning means being quotable — clear answer blocks, verifiable claims, consistent entity signals — and being present on the third-party domains each engine leans on. Your beautifully ranked page can still be invisible in an AI answer sourced from a Reddit thread and two listicles that never mention you.
Why does this need to happen now?
The shift isn't coming; it's arrived. Google shows AI Overviews on more than half of queries, ChatGPT serves hundreds of millions of weekly users who ask it buying questions, and Gartner projected traditional search volume dropping 25% by 2026 as chat interfaces absorb it. Meanwhile referral traffic from AI answers converts at notably higher rates than classic search in most datasets we've seen — the engine pre-qualifies the visitor by answering their basic questions first.
The strategic point: AI visibility currently compounds for early movers. Engines form entity associations — brand X is a leading option in category Y — from the current content and coverage landscape. Brands that establish those associations now become the default citation that competitors later have to dislodge. It is much cheaper to be the incumbent answer than to unseat one.
How does Chalk Labs run an AI SEO engagement?
We start with a visibility audit across every surface: where you rank, where you're cited, where you're absent, and — critically — which sources each engine uses when answering your category's questions. That source map becomes the strategy: it tells us which content to build on your domain and which third-party domains need your name on them.
Then the operating loop is pure marketing-as-science: hypothesis, experiment, proof, monthly.
- Fixed prompt-set tracking: mention and citation rates across ChatGPT, Perplexity, Gemini, AI Overviews
- Answer-block content engineering and schema (FAQ, Organization, Product)
- Entity consistency across site, docs, profiles and third-party mentions
- Digital PR targeting the domains AI engines demonstrably cite
- Classic technical and content SEO — still the foundation everything sits on
- Monthly report: rankings, traffic, conversions, and AI mention-rate movement
What does AI SEO cost and what should you expect?
Chalk Labs AI SEO retainers start around $3k/month, in a market where combined SEO-plus-GEO programs at larger agencies commonly run $5k–20k. Scope scales with content volume, competitive intensity and how many engines and markets we're tracking.
Honest expectations: AI citation movement often shows in six to twelve weeks — engines refresh their source patterns faster than classic rankings move — while durable Google gains on competitive terms take three to six months. We front-load the audit and quick wins so you see measurable change inside the first quarter, and every month's report shows the experiment ledger: what we tried, what moved, what we killed.
Questions we hear about this
AI SEO is the umbrella. AEO (answer engine optimization) targets extracted answers — featured snippets, AI Overviews, voice results. GEO (generative engine optimization) targets recommendations and citations inside generative engines like ChatGPT and Perplexity. A serious program runs all three on shared foundations, which is why we sell one retainer, not three acronyms.
Yes — with a fixed prompt set. We define the questions your buyers realistically ask, run them across ChatGPT, Perplexity, Gemini and AI Overviews on a schedule, and record whether you're mentioned, how you're described, and which sources are cited. Trend lines over months are meaningful even though individual responses vary.
No — the practices reinforce each other. Clear answer-first structure, strong schema, verifiable claims and authoritative backlinks are exactly what Google rewards. Almost everything GEO adds (entity consistency, citation-worthy statistics, presence on trusted third-party domains) is classic SEO best practice executed with a second scoreboard.
Categories where buyers research heavily before purchase — B2B SaaS, fintech, crypto, dev tools, professional services — and where competitors haven't started. If ChatGPT already answers your category's questions with competitor names, the case is urgent. If it answers with nobody's name, the land-grab is open and cheap.