SEO & GEO
Get found on search, maps, and AI answers
GEO — generative engine optimization — is the practice of being the source an AI assistant quotes when someone asks it a question in your field. What decides whether it names you isn't clever copy or a bigger budget; it's structure — a page built so a machine can read it cleanly is a page a machine can quote.
People are already asking for what you do. The job is being the answer they get back.
You know your work, your market, and the questions customers ask before they buy.
What changed is where those questions get answered. Search used to mean ten blue links; now it also means the map pack and the AI answer that sits above them. Someone might type a question into Google, tap the map on a phone, or ask ChatGPT, Perplexity, or Google's AI overview and never scroll. One piece of groundwork feeds every one of those surfaces: pages that answer a real question in the first line, a site a machine can read without guessing, and enough corroboration elsewhere on the web that an engine trusts the answer. We build that once and point it at search, maps, and AI answers together.
What's included in an SEO & GEO engagement
Answer-first pages, one entity each
Each page opens with a clean, definitional answer — what the thing is, stated plainly in the first sentence — and covers one subject, not five. That is the format an AI model lifts verbatim into an answer. In a peer-reviewed study, clear structure raised a page's visibility in AI answers by up to 41%. Copy that reads well to a person is the same copy a model quotes. (Aggarwal et al., "GEO: Generative Engine Optimization," Princeton, Georgia Tech, the Allen Institute for AI, and IIT Delhi, 2024.)
Structured data, done honestly
We add JSON-LD schema — Organization, Service, FAQPage, Article, and Breadcrumb — so an engine can read what your business is, what it offers, and where, in a format built for machines. We ship it because it helps engines confirm facts, and we are honest about its limits. Across 1,885 pages, schema markup on its own moved AI citations by roughly zero (Ahrefs). Structure works; markup by itself does not. Both matter, in that order.
Server-side rendering, no CMS in the way
Retrieval bots read the HTML your server sends, not the page a browser assembles afterward. Content that only appears after JavaScript runs often never gets seen at all. So we render on the server and put no CMS layer between your words and the crawler. The stack is Next.js, Tailwind, Supabase and Vercel — mainstream, heavily documented tools that large product teams run in production, picked because they're boring and well supported rather than clever. The page a person reads and the page a bot reads are the same page.
Crawler access, verified
None of the above matters if the AI crawlers are blocked at the door. We check and confirm that the ones that feed today's answers can actually reach your pages — GPTBot and OAI-SearchBot for ChatGPT, ClaudeBot for Claude, and PerplexityBot for Perplexity. We also ship an llms.txt file, because it is near-free to add — but we will never sell it as the strategy. Across 137,000 domains, 97% of llms.txt files got zero AI-bot requests (Ahrefs). It is a nicety, not the plan.
Classic SEO foundation and question mapping
Crawlability, indexing, internal links, redirects, and page speed — the unglamorous half that decides whether anything else gets counted. Then we research what people actually type and ask, sort it by buying intent, and give each term one page to own, so your own pages stop competing with each other.
Local, maps, and reporting you can act on
Google Business Profile, service-area and location pages, and consistent name, address, and phone details across the directories that feed the map pack. Every month you get rankings, impressions, calls, and form fills in one place — plus a check on whether the AI answers are naming you, and a plain-English note on what we changed and what moved.
How an SEO & GEO engagement runs
- 1
Baseline
We audit the site, the profile, and the current results, confirm the AI crawlers can reach you, and record where you stand today so every later change has something to be measured against.
- 2
Plan
You get a keyword-and-question map: which page owns which search, what needs writing, and the order we will work in, highest-value first.
- 3
Structure and ship
We clear the technical issues, rewrite pages to open with the answer, add the JSON-LD schema, render it all server-side with no CMS in the path, and tidy the local listings — shipping in batches, not one big reveal.
- 4
Earn citations
We pursue the mentions, listings, and links that make your claims verifiable elsewhere, since both search engines and AI models weigh corroboration from more than one source heavily.
- 5
Measure and adjust
Every month we review what moved in search, maps, and AI answers, keep doing what worked, and pick the next set of pages. Search shifts constantly, so the plan is meant to be revised.
The same way we run every engagement — how we work →
The evidence
Aggarwal et al. — Princeton, Georgia Tech, the Allen Institute for AI & IIT Delhi, 2024.
A good fit if
- You rank for your company name but want the AI answers to name you too
- You serve a defined area and want to own the map results
- You have good content and want a machine to be able to read it
- You want to know whether ChatGPT, Claude, and Perplexity mention you
- You're launching a new site or a new service line
Questions we get about search and AI answers
Tell us what you want to be cited for.
A few quick questions — about two minutes.
