Half the buyers in your category are asking ChatGPT, Perplexity, or a Google AI Overview before they Google anything. Those answers cite three to five businesses by name. I help yours become one of them.
A year ago this page wouldn’t have existed. The shift is fast, and most of the trade-press coverage of it is overdramatic.
Here’s what’s actually happening. People still Google. They also ask ChatGPT, Claude, Perplexity, and the AI Overview that now sits at the top of a meaningful share of Google searches. Those engines pick a small set of sources to cite per answer — usually three to five businesses. If yours isn’t one of them, the buyer never sees you.
The work to get cited overlaps heavily with good SEO. Same schema. Same E‑E‑A‑T baseline. Same content quality discipline. The 30% that’s different is what this service line is about: schema density beyond the WordPress defaults, AI bot crawl access (a lot of sites have accidentally blocked it), structured-answer formatting, and brand mention surface area across third-party sources the AI engines actually trust.
Most WordPress sites emit Article schema, maybe Organization, occasionally WebPage. That’s it. AI engines pull from a much wider set — Product, FAQPage, HowTo, LocalBusiness, Person, Service, BreadcrumbList. I audit what you currently emit, what’s missing, and what’s mis-typed. Mis-typed is more common than missing. Schema is probably the biggest single lever most sites haven’t pulled.
Cloudflare, robots.txt, server-level firewalls — any of these can silently block GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, and the rest. If they can’t crawl, they can’t cite. I’ve seen sites lose 100% of AI visibility because of a default Cloudflare bot rule nobody remembered enabling. I check every layer and report which AI engines currently see your site.
AI engines preferentially cite content that answers a question cleanly. H2-as-question, paragraph-as-answer. Lists where lists fit. Tables for comparisons. Definitive opening sentences instead of throat-clearing intros. I audit your most commercially relevant pages and flag which ones could rewrite for cleaner extraction.
AI engines weight brand mentions across reputable third-party sources alongside what’s on your own site. Trade publications. Directory listings. Partner sites. Review platforms. Reddit threads about your category. I map where your brand currently surfaces, where competitors surface that you don’t, and which mention-building moves would move the needle for your specific vertical.
AI search measurement is messier than Google Search Console. I set up GA4 to capture referrals from ChatGPT, Perplexity, Claude, and Gemini, plus quarterly prompt audits where I ask the major AI engines questions a buyer in your category would ask, and log who they cite. It’s not perfect. It’s better than guessing.
SEO and GEO target different surfaces. Blue‑link rankings versus AI‑answer citations. The underlying work overlaps about 70%. Same schema. Same E‑E‑A‑T. Same technical baseline. The 30% that’s different is where GEO earns its own service line.
| SEO | GEO | |
|---|---|---|
| Optimization target | Blue‑link rank, click-through | Citation in AI answers, AI Overview eligibility |
| Primary measurement | Rankings, organic traffic, conversions | AI referral traffic, prompt audit citations |
| Schema priority | Helpful but optional | Load-bearing |
| AI bot access | Generally don’t care | Critical |
| Brand mentions | Indirect ranking signal | Direct citation signal |
| Content format | Quality plus keyword targeting | Quality plus extractable structure |
| Tooling | GSC, Ahrefs, Search Console | GA4 (custom), prompt audits, schema validators |
| Geographic locality | Often hyperlocal (local pack) | Mostly nationwide / categorical |
Most clients run both layered. SEO compounds slowly. GEO compounds faster but the surface area is smaller. Together they cover more buyer-journey ground than either alone. (SEO services → for the other half.)
Healthcare. Legal. Financial. B2B services. Professional services. Industries where buyers spend serious time researching before they buy — and where the research increasingly happens inside AI assistants instead of inside Google.
If your category has a defensible authority position and a manageable competitor set — say, fewer than 50 serious competitors nationally — you’re a strong candidate. AI engines reward depth in narrower categories. They cite the businesses that show up substantively across multiple sources, not the loudest ones.
You already have an SEO foundation working. You’re starting to see ChatGPT and Perplexity referrals trickling into GA4. You want a specialist who can layer GEO on without disrupting what’s currently ranking. This is the most common shape an engagement takes.
The work scales with site size, current SEO state, content volume, and how aggressive the citation ambition is. A 12-page local service site with no schema and a 200-page B2B SaaS site with mature SEO are different engagements. Pricing tracks the actual surface area.
What I do: walk through the audit findings on a call, scope the work into a fixed-quote engagement, tell you exactly what you’re getting and exactly what to expect over what timeline. No retainer creep. No surprise scope changes mid-engagement.
What I don’t do: publish a flat number on this page. It would be inaccurate for most prospects.
SEO optimizes for blue‑link rankings — getting your page to show up in Google's main results. GEO optimizes for citations in AI answers — getting cited when ChatGPT, Perplexity, or a Google AI Overview answers a question your buyer is asking. The work overlaps a lot: same schema, same technical baseline, same content quality, similar E‑E‑A‑T signals. The differences are in optimization target, measurement, and how content gets formatted for clean extraction by an LLM. Most clients end up running both layered.
Yes. AI engines pull from the same web SEO has always optimized. The pages that rank well in Google are usually the same pages that get cited in AI answers, because the underlying signals overlap heavily. The work that wins blue‑link rankings — quality content, clean technical foundation, authoritative backlinks, real expertise — is still doing most of the heavy lifting in GEO. The new work is structural: schema density, extractable formatting, AI bot access, brand mention building. Layered, not replaced.
Three things have to be true. ChatGPT has to be able to crawl your site — check OAI-SearchBot in robots.txt and any server-level bot blocks. Your content has to be cleanly extractable — clear H2 questions, definitive answer paragraphs, schema markup that tells an LLM what type of content this is. And your brand has to appear in third-party sources ChatGPT trusts — directories, trade press, review platforms, sometimes Reddit. ChatGPT cites businesses with presence on multiple authoritative surfaces, not just a website with good copy.
A repeatable check where I ask the major AI engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) a set of questions a real buyer in your category would ask, and log which businesses get cited. Run quarterly or monthly depending on the engagement. It tracks whether you're showing up at all, what you're getting cited for, and how citation share is moving relative to competitors. Not the only measurement. The closest thing to a SERP rank tracker that exists for AI search right now.
llms.txt is a proposed standard, similar to robots.txt, that tells AI engines which pages on your site to prioritize and what each page contains. It's not officially adopted by the major engines yet, but Anthropic has expressed support and several smaller engines parse it. I include an llms.txt audit and setup as part of GEO engagements when it fits. Small lift, potential meaningful upside if the standard takes hold. If it doesn't, no real downside.
Yes. The work isn't gatekept. If you have an in-house developer who can implement schema, a content team that can rewrite for structured extraction, and time to set up GA4 referral tracking and run prompt audits — you can run GEO internally. Where I help: when those resources don't exist, when you want a specialist who's done this across multiple sites, or when you want a layered SEO + GEO program that doesn't fragment ownership across teams.
Schema and AI bot access changes can show up in AI citations within two to four weeks of crawl. Brand mention building runs longer — three to six months minimum. Structured-answer formatting compounds over time as you rewrite or publish more content in extractable shape. AI search measurement is also noisier than Google Search Console; I'd budget 60 to 90 days before claiming results are real and not crawl variance.
Helpful, not required. AI engines pull from a wider source set than Google's top 10 — they cite directory listings, Reddit threads, trade press, and other surfaces that may not rank in traditional SEO. That said, sites that rank well in Google tend to also get cited in AI search, because the underlying signals overlap. If your SEO foundation is weak, the audit usually surfaces SEO + GEO opportunities together — and we sequence them so the foundational SEO work is doing double duty.
Trailhead checks 30+ technical and AI-readiness signals — including AI crawler access across all 9 major engines, schema density, structured-answer formatting, and citation patterns. Free, takes about a minute, and the report tells you exactly what’s working and what’s not. No pitch, no follow-up unless you ask for one.