AI search optimization (also called generative engine optimization, or GEO) is the practice of making your business visible and citable inside AI-generated answers — in ChatGPT, Google AI Overviews, Perplexity, and Copilot — by engineering your content, structured data, and brand signals so AI engines select you as a source.
Generative engine optimization: visibility where search is actually going
Search is splitting in two. Google still matters — but a fast-growing share of your buyers now ask ChatGPT, Perplexity, or Google’s AI Overviews who to hire, what to buy, and which local business to trust. Those AI answers don’t show ten options; they name two or three. Adency’s generative engine optimization services exist to make sure your business is one of the names that comes back.
We’re among the first agencies in the Richmond and DC metro area to offer a dedicated GEO program. That’s not a vanity claim — it’s the opportunity. Almost none of your local competitors are optimizing for AI search yet, which means the businesses that move in 2026 get cited first, and AI systems tend to keep citing the sources they already trust.
What GEO actually involves
Getting recommended by an AI is not magic, and it’s not a trick. Generative engines build answers from sources they can crawl, parse, and trust. Our work targets each link in that chain:
AI visibility audit. We test the questions your buyers ask across ChatGPT, AI Overviews, Perplexity, and Gemini, and document exactly where you appear — and where competitors do instead. This baseline is what every later report is measured against.
Citable content engineering. AI systems quote content that answers questions directly: clear definitions, honest comparisons, specific facts, structured FAQs. We restructure existing pages and build new ones in the formats generative engines lift answers from — work that overlaps with, and strengthens, content marketing.
Entity and structured data work. Models need to understand who you are: consistent name, services, location, and credentials across your site, schema markup, and the wider web. This is where GEO meets technical SEO — including making sure AI crawlers aren’t accidentally blocked.
Third-party authority. AI answers lean on what others say about you — directories, press, reviews, industry sources. We build the off-site mention footprint that makes a model confident enough to recommend you.
Monthly AI visibility tracking. Whether you’re mentioned, cited, or recommended across each platform, trended over time, in plain English.
Why answer engines reward different work than rankings
Classic SEO competes for position; AEO and GEO compete for inclusion in a synthesized answer. That changes the craft: a page that ranks #4 but states facts plainly can get cited while the #1 result gets skipped. Local intent changes too — when someone asks an assistant for “a good marketing agency in Washington DC,” the model weighs reviews, mentions, and local signals much like the map pack does, which is why GEO pairs naturally with local SEO.
None of this replaces your core SEO program — it compounds it. The same authority that earns rankings earns citations. GEO is the layer that makes sure the authority you’ve built actually surfaces in AI answers instead of stopping at the blue links.
First-mover advantage in the DMV
Since 2016 we’ve watched search shifts reward businesses that moved early — mobile, local pack, voice. AI search is the biggest shift yet, and for SEO in Richmond, VA and Northern Virginia the field is still nearly empty. We won’t fabricate hype about it: AI referral volume is still smaller than Google’s. But it’s growing every quarter, the buyers using it are high-intent, and the cost of owning the channel now is a fraction of what it will be once everyone piles in.
Call 804-485-0000 or book a free audit — we’ll run your business through the AI platforms your customers use and show you, screenshot by screenshot, who they’re recommending today.