An AI SEO agency and a traditional SEO agency both work to get your site ranking in Google. The real difference is what they optimize for beyond rankings. A traditional agency’s work usually stops once a page ranks on page one. An AI SEO agency also builds that same page to be quotable — structured so ChatGPT, Google’s AI Overviews, and Perplexity can pull a clear, self-contained answer from it and cite your brand.
The technical SEO fundamentals don’t change. What changes is the content layer: answer-first writing, clear entity definitions, structured data, and genuine topical depth, built so a human reader and a language model can both use the page the same way. This is a practical breakdown of exactly what that means, grounded in what Google’s own documentation and independent platform research actually say — not vague “AI-powered strategy” marketing.
Key Takeaways
- Technical SEO fundamentals — crawlability, site speed, backlinks — are unchanged by AI search. What’s different is the content layer built on top of them.
- Google’s own documentation states there are “no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary” beyond being well-indexed and already ranking reasonably well.
- Google ended the visual FAQ rich-result snippet in Search as of May 7, 2026. FAQPage structured data is not deprecated and remains valid — it just no longer produces that specific accordion snippet in Google Search results.
- The overlap between AI Overview citations and top organic rankings grew from roughly 32.3% to 54.5% between May 2024 and September 2025, per Search Engine Land data — but even at that peak, nearly half of AI Overview citations still came from pages that weren’t ranking in the top organic positions for the same query.
- No AI platform (OpenAI, Perplexity, or Google) has published a confirmed, exact ranking formula for what gets cited. Anyone promising a guaranteed citation formula is overstating certainty that doesn’t exist yet.
AI SEO agency vs. traditional SEO agency, side by side
Before going section by section, here’s the practical comparison most people are actually trying to work out:
| Traditional SEO Agency | AI SEO Agency | |
|---|---|---|
| Technical SEO work | Crawlability, speed, indexing, backlinks | Same — this doesn’t change |
| Content structure | Written for readability and keyword relevance | Answer-first, self-contained passages built to be extracted |
| Structured data | Optional, often skipped | Core part of the process, for machine parsing not rich-result snippets |
| Success measured by | Organic rankings and traffic | Rankings plus AI citation visibility |
| Keyword research scope | Short-tail and long-tail search terms | Search terms plus the full questions people ask AI tools |
What stays exactly the same
Nothing about AI search removes the need for solid technical SEO. A page still needs to be crawlable, fast, and properly indexed before any of the rest of this matters. Backlinks still carry authority signals. Internal linking still helps search engines and AI crawlers understand how your pages relate to each other — this same principle is why our own core SEO work treats technical SEO, content, and AI visibility as one connected program rather than separate services.
This is also confirmed directly by Google. Search Central’s guidance on AI features states plainly that there are no special technical requirements to be eligible for AI Overviews beyond what already applies to standard Search: being indexed, and generally ranking well for the topic already. An agency telling you that AI SEO requires an entirely separate technical setup from standard SEO is either confused or selling you something unnecessary.
Keyword research hasn’t disappeared either. It’s expanded. You still need to know what people search for — you also need to know what they ask, since AI Overviews and ChatGPT are increasingly answering full questions rather than matching short keyword strings.
What actually changes
Four things separate AI-citation-focused content work from standard SEO content work in practice:
- Answer-first structure. Independent research into how AI retrieval systems extract content suggests these systems favor compact, declarative factual claims placed near the top of a page or section, rather than a long build-up before the point is made. If the opening sentences don’t contain a precise, attributable statement, there’s nothing clear for the system to extract.
- Structured data. Marking up real content with schema (Article, FAQPage, Organization) gives AI systems a machine-readable version of your page, not just a human-readable one. This remains genuinely useful even after the FAQ rich-result change discussed below, because the markup itself still describes your content clearly to anything parsing it.
- Entity clarity. A page needs to be unambiguous about what it’s about — the brand, the service, the concept — so an AI system doesn’t have to guess or conflate it with something else.
- Self-contained passages. Each section should make sense if pulled out and shown on its own, the way an AI Overview quotes a few sentences without the surrounding context. Research on generative engine optimization has found that models tend to reuse content that’s clearly structured — Q&A formats and direct definitions — over content that requires reading several paragraphs to extract the point.
None of this is exotic. It’s closer to writing like a reference document than writing like a sales brochure. It’s also exactly the approach behind our own AI SEO services, built around the same four points rather than a generic “AI-powered” pitch.
What Google’s own documentation actually says
A lot of content in this space makes confident claims about “AI Overview optimization” without ever pointing to what Google has actually published. Here’s what’s verifiable:
Google’s documentation states there are no additional technical requirements to appear in AI Overviews or AI Mode beyond standard Search eligibility. The system works through a process commonly described as “query fan-out,” where a single question triggers multiple related searches across subtopics, and the results are synthesized into one combined answer. Google’s documentation also describes a “grounding” process, framing AI Overviews as an extension of how Search has always evaluated content quality, rather than a separate ranking system with its own rules.
The relationship between AI Overview citations and standard organic rankings has also been tightening. Search Engine Land data (cited via a Silktide analysis of the trend) shows the overlap between AI Overview citations and top organic rankings grew from roughly 32.3% in May 2024 to 54.5% by September 2025. In practice, that means ranking well in standard search results is becoming a stronger predictor of AI citation than it was a year earlier — but it’s still far from the whole story. Even at that peak overlap point, nearly half of AI Overview citations came from pages that weren’t in the top organic positions for the same query. Something else about how those pages are structured is doing real work.
The FAQ schema correction most content in this space hasn’t made yet
Here’s something worth being direct about, because a lot of SEO content — including some of our own earlier advice — hasn’t caught up to it yet: Google ended the visual FAQ rich-result snippet in Search as of May 7, 2026. That’s the expandable accordion-style result that used to show FAQ questions directly in the search listing. Google’s own FAQ documentation reflects the change, though Google didn’t publish a blog post explaining it — the removal was simply reflected in the documentation itself, which is worth flagging honestly rather than overstating as something Google loudly announced.
The practical rollout, based on independent reporting: the rich result stopped appearing on May 7, 2026. Search Console’s FAQ-specific reporting (the FAQ search appearance filter and the FAQ rich results report) is being removed in June 2026, along with FAQ support in the Rich Results Test. Search Console API support for FAQ data is expected to continue through August 2026 before that access ends too.
What this does not mean: FAQPage structured data itself is not deprecated. If you have genuine question-and-answer content on a page, there’s no requirement to remove the markup, and doing so provides no benefit. What it does mean: if an agency’s primary pitch for “AI SEO” is adding FAQ schema so you’ll “show up in Google’s rich results,” that specific claim is now out of date. The schema can still help structure content for AI systems to parse — it just doesn’t produce that particular visual snippet in Google Search anymore.
What seems to actually drive citations on ChatGPT and Perplexity
Neither OpenAI nor Perplexity has published an official, confirmed ranking formula for what gets cited in their answers. Everything below is practitioner-level observation and independent analysis, not a confirmed methodology from either platform — worth stating plainly rather than presenting as settled fact.
With that caveat, a few patterns show up consistently across independent research into both platforms:
- Pages with clear headings, direct statements, and well-organized information appear easier for these systems to extract from than pages requiring the reader to piece together an answer across multiple paragraphs.
- Pages including specific numbers, data points, dates, and concrete examples get cited more often than pages relying on vague, general statements.
- Authoritative domains, third-party references, and recently updated content show up more often in citations than older or less-referenced pages.
- Marking up authorship, publish dates, and the specific entities a page covers (via Article and similar schema) is a commonly recommended practice, though neither platform has confirmed publicly how heavily that markup is actually weighted.
Be skeptical of any source citing a precise multiplier — a claimed “3.1x more citations” or “70% increase” from a specific tactic. Figures like that circulate in this space without a documented methodology behind them, and repeating them without that context is exactly the kind of unverifiable claim that erodes trust in SEO advice generally.
Where this matters most for SaaS and Shopify brands
This shows up most on competitive, commercial-intent queries — the kind where a buyer used to type a search term and is now more likely to ask ChatGPT or Google’s AI mode a direct question instead. If your category gets asked about in AI tools (“best [category] for [use case]”), whether your brand shows up in that answer increasingly depends on whether your content is structured to be cited, not just ranked.
We run this as one connected program rather than splitting “SEO” and “AI SEO” into separate line items, since they share the same technical foundation and differ mainly in how the content layer is built — see our case studies for how that plays out for actual SaaS and Shopify clients, or our program pricing for how engagements are structured.
How to tell if an agency is actually doing this
A lot of agencies have relabeled standard SEO as “AI SEO” without changing their actual process, or worse, are still pitching outdated tactics like the FAQ rich-result snippet as if it still exists. A few honest questions separate real, current work from relabeling:
- Can they show you a real page they’ve restructured specifically for AI citation, and explain what changed?
- Do they talk about structured data and entity clarity specifically, or just “AI-powered strategies” in general terms?
- Are they current on changes like the May 2026 FAQ rich-result deprecation, or still pitching it as a Google visibility win?
- Do they still track and report on traditional rankings alongside AI visibility, or only one of the two?
- Are they honest that none of the major AI platforms have published a confirmed citation formula, rather than promising guaranteed results?
If an agency can’t answer the first question with a specific example, or doesn’t know about the FAQ rich-result change, they’re likely selling a label, not a current method. If you want a second opinion on your own site, our team will look at it before any call, not during one.
FAQ
Is AI SEO a replacement for traditional SEO?
No. AI SEO builds on the same technical foundation as traditional SEO — crawlability, site speed, backlinks, and keyword relevance all still matter, and Google’s own documentation confirms there are no separate technical requirements for AI Overview eligibility. AI SEO adds a content layer on top: structuring pages so AI systems can extract and cite clear answers from them.
Does adding FAQ schema still help with Google visibility?
Not in the way it used to. Google ended the visual FAQ rich-result snippet in Search as of May 7, 2026. The FAQPage structured data type itself isn’t deprecated and remains valid markup, but it no longer produces that specific accordion-style result in Google Search. It may still help structure content for AI systems parsing your page, which is a separate benefit from the rich-result display that’s now gone.
Does AI SEO require different technical work?
Mostly no. The technical SEO checklist stays largely the same. What changes is how content is written and structured — answer-first sections, clearer entity definitions, and structured data — rather than the underlying technical setup.
How long does it take to see results from AI SEO work?
It varies by site, competition, and how much structural work is needed, the same way traditional SEO timelines vary. There’s no fixed number of weeks that applies to every site, and any agency giving you one specific number without seeing your site first is guessing.
What’s the single best question to ask an AI SEO agency to vet them?
Ask them to show a specific page they’ve restructured for AI citation and explain exactly what changed and why. Also ask whether they’re current on recent platform changes, like the May 2026 FAQ rich-result deprecation. A real answer will mention specific structural changes and stay current on what’s actually changed. A vague answer about “AI strategies” is a red flag.
Written by Nadir Yaqoob, Founder of South Asia Digital.
