AI Search Agency vs. SEO Agency: Which Should You Hire?
Two years ago your shortlist had one kind of name on it. Now half the agencies pitching you talk about rankings and the other half talk about citations, the prices look similar, and nobody explains where one job ends and the other begins. Here is the difference in plain terms.
An SEO agency optimizes your site to rank in Google’s classic results. An AI search agency does that work and extends it to AI generated answers: Google AI Overviews, ChatGPT, Claude, Gemini, Grok, and Perplexity. The two disciplines share a foundation of crawlability, content quality, and structured data, but ranking well no longer guarantees getting cited. If your buyers have started asking AI tools for recommendations, the SEO only version of the engagement leaves that surface uncovered.
- Google still handles 91.1% of worldwide search, so classic SEO is not optional. The question is whether it is sufficient.
- Only 38% of Google AI Overview citations now come from top 10 results, down from 76%, so most citations come from outside the ranked results SEO chases.
- An AI search agency is not a replacement discipline. It is SEO plus AEO plus GEO under one engagement.
- Vet both kinds the same way: numbers with labels on them, sourced claims, and work you can inspect on the agency’s own site.
What an SEO Agency Optimizes
An SEO agency’s job is rankings and the clicks that follow them: technical health, content that matches search intent, and links that build authority in Google’s eyes. That job is not obsolete. StatCounter puts Google at 91.1% of worldwide search as of August 2026, and if your pipeline runs on people typing queries into Google and clicking a result, a good SEO agency is not a wrong answer. Plenty of businesses still win on exactly that.
What an AI Search Agency Covers
An AI search agency covers the same foundation and then optimizes for the answer layer sitting on top of it. That means three disciplines under one engagement: SEO for the ranked results, AEO for the answer boxes and AI Overviews, and GEO for the citations and recommendations inside ChatGPT, Claude, Gemini, Grok, and Perplexity. In practice the added work is entity accuracy (does every model hold a correct picture of who you are), answer structure (can a model lift a clean, self contained answer from your pages), and earned mentions on the sources models trust.
The overlap with SEO is real and useful. The same crawlable, well structured, honestly sourced page serves both. What changes is what the engagement measures and what it builds toward.
Where Rankings and Citations Split
The cleanest evidence that these are two different games: Ahrefs measured where Google AI Overview citations come from across 863,000 keyword SERPs and found only 38% come from top 10 results, down from 76%. Most citations now come from pages that do not rank on page one at all. Ahrefs has separately measured under 20% overlap between what AI platforms cite and what ranks in top Google results. Rank number one and a model can still recommend somebody else. That gap is the entire reason this comparison page exists.
Six Signs You Need the AI Search Version
- Prospects mention asking ChatGPT or another AI before they call you. Once you hear it on sales calls, the shift already reached your market.
- Rankings are stable but leads are flat. The zero click pattern: answers get consumed above your listing.
- You sell a considered service. Buyers of considered services ask comparison questions, and AI platforms answer them with recommendations.
- AI describes your business wrongly, or not at all. Ask three models what your company does. Wrong answers are an entity problem no ranking fixes.
- Competitors appear in AI answers you are absent from. Somebody in your category is being recommended. The only question is who.
- Your current agency’s plan never mentions entities, structured data, or citations. Scope tells you what you are buying.
How to Vet Either One
Ask both kinds of agency the same questions. Show me results with the evidence type labeled: client result, sample result, or internal observation. Show me the sources behind the statistics in your pitch. Show me your own site doing what you sell. An agency selling AI visibility that is invisible to AI, or an SEO agency whose own pages are a mess, has answered your question already. Our AI search agency guide walks through seven checks before you hire anyone, us included. On cost, engagement pricing for the two looks similar on the surface, so compare scope, not sticker. Winsignia’s engagement covers all three disciplines at a flat $5,000 a month, and the role by role math of building this in house instead sits in that same guide.
Want a straight read on which one your business needs?
The Numbers From One Live Build
Since we just told you to demand labeled numbers from anyone you vet, here are ours, on a build where both the ranking side and the AI side had to work.
A destination race with no history and no backlink profile, designed and built from scratch as a content hub. Ask ChatGPT, Claude, Gemini, Grok, or Perplexity which marathons to run near St. Petersburg or Tampa today and it comes back in the answer on all five. That is an internal observation from our own prompt testing, not a metric any platform reports.
The search side over the same period, all client results from that client’s own Google Search Console and Race Roster accounts, June 9 to September 8, 2026:
- 615 keywords ranking, across 72 pages, from a standing start.
- 36% of those keywords sit on page one of Google, and nearly 9% in the top 3.
- Impressions up 680%, clicks up 140%, comparing the first 30 days of that window to the most recent 30.
- 81% of impressions come from the United States, the audience the race actually sells to.
- 100 out of 100 on PageSpeed, for both SEO and Performance.
- Registration pace up 540% against the four months before the work, with the launch week burst stripped out of the math.
On registrations we are claiming correlation and nothing more. Pricing, email, and the race’s own community move that number too, so we are not going to tell you search alone produced it.
Disclosure: Scott Fishman is Executive Director of the St. Pete Marathon as well as Director of Growth at Winsignia, which is how we have account level access to this data.
Scott Fishman is Director of Growth at Winsignia, where he leads the AI search optimization work behind every build on this site. Reach him on LinkedIn.
FAQ
Is an AI search agency just an SEO agency with new branding?
Sometimes, yes. The tell is in the deliverables: ask what specifically they do for entity accuracy, answer structure, and citations. If the plan is the same SEO plan with new labels, the branding is doing the work.
Do we need to replace our SEO agency to add AI search work?
Not necessarily. The disciplines share a foundation, and some businesses pair an incumbent SEO agency with a specialist. Watch for duplicate spend on the overlapping foundation work if you run both.
Does ranking on page one still matter?
Yes. Google is 91.1% of search, and rankings still drive real traffic. It is just no longer sufficient on its own, since most AI Overview citations now come from outside the top 10.
Is AI search optimization more expensive than SEO?
Published retainers for the two look similar, which is why comparing on scope matters more than comparing on price. One covers ranked results. The other covers ranked results plus every AI surface answering your buyers’ questions.
How fast does each show results?
Similar shape either way: technical fixes register in days to weeks, content takes months to rank or get cited, and authority compounds over quarters. AI platforms can pick up a well structured page before it ranks, which is sometimes the earliest visible win.
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