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AI SEO vs Traditional SEO: Which to Fund First

The Short Answer: For Google, AI SEO vs traditional SEO is not two purchases. Google’s own published guidance says its generative AI features run on the same ranking systems as normal search, so most AI SEO line items are traditional SEO wearing a newer label. Fund traditional SEO first. Buy AI-specific work only for what sits outside Google — visibility inside ChatGPT and Perplexity, and how your brand gets described off your own site.

Two sales pitches are landing in Malaysian business owners’ inboxes this year, and they contradict each other. The first says your existing SEO is obsolete and you need to buy AI SEO before your competitors do. The second says AI SEO is a repackaging exercise and you should ignore it. Both are positions taken by people who want your money to move in a particular direction.

There is a duller way to settle it, which is to read what the search engine itself published. Google updated its official guidance on optimising for generative AI search in July 2026, and that document answers the funding question more directly than most agency proposals do. It is worth reading before you sign anything.

This article settles AI SEO vs traditional SEO the practical way. It works through what Google’s guidance actually says, where AI answers pull their sources from, and what an AI answer costs you in clicks. It ends with a twelve-month budget split for three stages of business. If you want the full scope of what this category covers, our AI SEO, GEO and AEO page sets it out.

One disclosure first: we sell both. The recommendation below tells most readers to buy less of the newer, more expensive thing for now. It is still the right advice.

How AI Is Changing Google Search and SEO

Source video: Google Search Central on YouTube

PART 1 · DIAGNOSE

What Are You Actually Buying When You Buy AI SEO?

IN BRIEFMost AI SEO scopes contain three different things at once: normal SEO relabelled, tactics Google says it ignores, and a small amount of genuinely new work. Separating them settles AI SEO vs traditional SEO before you compare a single price. Our guide to answer engine optimisation covers the underlying mechanics.

Google’s guide to optimising for generative AI search takes the terminology head-on. It accepts that AEO and GEO describe work aimed at AI search experiences, then adds that from Google’s side, optimising for generative AI search is optimising for the search experience — and is therefore still SEO. The AI features sit on top of the core ranking systems, not beside them.

That does not make every AI SEO proposal dishonest. It does mean any scope you receive should be sortable into three buckets before you price it:

  • Work you were already buying — crawlability, indexing, page speed, internal links, useful content. Google’s AI features documentation states plainly that there are no additional requirements to appear in AI Overviews or AI Mode.
  • Work Google explicitly says it ignores — llms.txt files, chunking content into fragments, rewriting copy in an “AI-friendly” voice, chasing manufactured brand mentions.
  • Work that is genuinely new — visibility inside assistants Google does not operate, and preparing a site for browser agents that read pages on a customer’s behalf.

The third bucket is real and it is small. The commercial problem is that the first bucket is usually the largest, so an AI SEO retainer often costs more than an SEO retainer while delivering much the same list of tasks.

Bottom Line: Ask any AI SEO proposal to mark each line item as new work or existing work. A scope that cannot survive that question is a pricing exercise, not a strategy.

Holding two quotations that use different words for the same work?

A one-hour scope comparison usually saves more than it costs. See how to judge an AI SEO agency

BENCHMARK BRIEFING 1 OF 4

Which AI SEO Line Items Are Genuinely New Work?

IN BRIEFMapped against Google’s two published AI documents, most items on a typical AI SEO scope resolve to traditional SEO, and several resolve to nothing at all. Only two categories are new spending. Use this table as a checklist when you read a search marketing proposal.

The table below takes the line items that appear most often in AI SEO scopes and places each one against what Google has actually published about it.

Common AI SEO Line Items, Mapped to Google’s Published Position
Eleven line items commonly quoted in AI SEO scopes, mapped to Google Search Central’s published position and classified as traditional SEO, no spend, or genuinely new work.
Line item on the quotation What Google’s documentation says Which budget it really is
Crawling and indexing fixes Pages must be indexed and snippet-eligible to appear at all Traditional SEO
Unique, non-commodity content Named as the single biggest long-run influence on AI visibility Traditional SEO
Schema and structured data Not required for generative AI search; still useful for rich results Traditional SEO
Business Profile and product feeds Named as helping products and services surface in AI responses Traditional SEO
AI visibility reporting Search Console carries a generative AI performance report Traditional SEO
llms.txt and AI text files Google Search ignores them; neither helps nor harms No spend
Chunking content into fragments No requirement to break content into tiny pieces No spend
Rewriting copy for AI phrasing No need to write in a specific way for AI systems No spend
Buying brand mentions at scale Inauthentic mentions are called out as unhelpful No spend
Assistant visibility outside Google Outside the scope of Google’s documentation entirely Genuinely new
Readiness for browser agents Suggested only where relevant and when there is spare time Genuinely new

Aggregated by IZI Digital Marketing from Google Search Central’s AI features and your website and generative AI optimisation guide, July 2026.

Bottom Line: Nine of eleven common line items are either normal SEO or nothing at all. Price the two that are new separately, and you will see how small the genuinely new budget is.

PART 2 · DIAGNOSE

Does AI Visibility Depend on Rankings You Do Not Have Yet?

IN BRIEFLargely, yes. AI answers are assembled from pages the search index already rates highly, so a site with no rankings has little for an AI system to pull from. That makes ranking work a prerequisite, not an alternative — the same logic behind earning AI Overview citations.

Google describes the mechanism openly. Its AI features use retrieval-augmented generation, which relies on the core Search ranking systems to retrieve relevant pages from the index, then generates an answer from what those pages say. The AI layer does not go looking for good pages on its own. It reads what the index hands it.

This changes the sequencing question completely. If your pages are not being retrieved for anything, buying AI-specific work is like paying for shelf placement in a shop that does not stock your product. The constraint sits one step earlier.

Consultant’s Note: The businesses most tempted by AI SEO are usually the ones getting nothing from search today, because the promise sounds like a way to skip the queue. In practice it is the group least able to use it. If your site has never ranked on page one for a commercial term, spend the first six months on the boring foundations and revisit this decision after.
Bottom Line: AI visibility is mostly downstream of ordinary ranking. Fix what feeds the index before paying anyone to influence what the index produces.

BENCHMARK BRIEFING 2 OF 4

Where Do AI Answers Actually Get Their Sources?

IN BRIEFA study of 1.9 million citations found roughly three-quarters of AI Overview sources already rank in the top ten for the query. Around one in seven come from outside the top 100. That ratio is the strongest argument for funding rankings first, ahead of any dedicated GEO engagement.

The bars below show where cited pages sat in ordinary search results at the time they were cited.

Where AI Overview Citations Rank in Ordinary Search Results
Share of AI Overview citations by the organic search position of the cited page, from a study of 1.9 million citations across 1 million AI Overviews.
Where the cited page ranks Share of citations %
Top 10 of Google
76.1%
Positions 11–100
9.5%
Not in the top 100
14.4%
Median rank of the first citation
Position 2
Median rank of the third citation
Position 5

Aggregated by IZI Digital Marketing from Ahrefs’ study of 1.9 million AI Overview citations, 2025–2026. Bar widths are proportional to the citation shares shown.

The 14.4% that rank nowhere is the honest counterpoint, and it is why AI-specific work is not pure theatre. But it is the exception, and chasing an exception is a poor use of a first budget.

Bottom Line: Ranking in the top ten is the most reliable route into an AI answer that anyone can currently buy. Treat it as the entry ticket rather than the alternative.

PART 3 · DESIGN

So Which One Should Get the Money First?

IN BRIEFAI SEO vs traditional SEO comes down to three possible sequences, and only one suits most Malaysian businesses reading this. The deciding question is whether buyers already find you in ordinary search results, which is also the first thing any competent SEO partner should check.

DECISION BOX · WHICH SEQUENCE TO FUND

Option Right when First signal Main risk
Traditional SEO first You rank for little or nothing Month 3–4, impressions Feels slow and unfashionable
AI-specific work first You already hold top-10 positions Month 2–3, citations Nothing to amplify if rankings are thin
Even split Budget above RM 8k a month Month 4–6, mixed Neither side reaches working strength

Verdict: Fund traditional SEO first if you hold fewer than five top-ten positions for commercial terms. Fund AI-specific work first only if you already rank well and are watching assistant traffic arrive. Split evenly only when the budget is large enough that both halves still clear their minimum.

Bottom Line: Count your top-ten positions before you choose. That single number settles this decision more reliably than any argument about where search is heading.

BENCHMARK BRIEFING 3 OF 4

What Does an AI Answer Cost You in Clicks?

IN BRIEFA 300,000-keyword study measured position-one click-through rates before and after AI Overviews rolled out. The gap works out to roughly a third of the clicks a top ranking used to earn — which changes what you should count as a return on SEO, not whether to buy it.

The figures below track the same measure a year apart, for keywords that later triggered an AI Overview and for comparable keywords that did not.

Position-One Click-Through Rate, March 2024 to March 2025
Average position-one click-through rate for informational keywords with and without AI Overviews, measured March 2024 and March 2025 across 300,000 keywords, with a forecast counterfactual.
Keyword group March 2024 March 2025 What it tells you
No AI Overview present 5.6% 3.1% The general decline, AI aside
AI Overview present 7.3% 2.6% The observed outcome
Same group, forecast without AI 4.0% Where it should have landed
Gap attributed to AI Overviews −34.5% The cost of the feature itself

Aggregated by IZI Digital Marketing from Ahrefs’ 300,000-keyword click-through study, comparing March 2024 with March 2025. Percentages rounded from the published figures.

Note what this does and does not say. Ranking first still earns more clicks than ranking fifth. What has changed is the size of the prize, and Google reports that clicks arriving from AI-assisted results tend to be higher quality — visitors stay longer. Fewer, warmer visits is a different business than more, colder ones.

Traffic down but enquiries steady? That is the pattern to check.

Bring twelve months of Search Console data and we will read it with you. Weigh up whether AI SEO is worth paying for yet

PART 4 · DEPLOY

What Actually Changes in the Work Itself?

IN BRIEFFour things genuinely change, and none of them replace the standard technical fixes. They are additions at the margin, best funded once the base is producing.

  1. Report on assistants separately. Search Console’s generative AI report covers Google. Visibility inside ChatGPT or Perplexity needs its own check, even if that check is manual at first.
  2. Raise the originality bar on content. Google’s guidance singles out commodity content — the generic listicle — as the thing least likely to be picked up. First-hand specifics travel; summaries do not.
  3. Watch what third parties say about you. Assistants read forums, reviews and directories. Earning genuine coverage matters more than it did; buying fake coverage still does not work.
  4. Check the site renders for agents. Browser agents read the DOM and the accessibility tree. Clean, semantic markup helps them and helps screen-reader users at the same time.

Each of these is measured in hours per month, not thousands of ringgit. That is the practical test of whether an AI SEO premium is justified: ask what the extra fee buys beyond this list.

Bottom Line: The genuinely new work is a short list of additions. If a proposal charges a large premium for it, the premium is buying positioning, not labour.

BENCHMARK BRIEFING 4 OF 4

How Should the Split Look Over Twelve Months?

IN BRIEFThe split should move with your ranking base, not with the calendar. This illustrative ladder shows how the AI-specific share might grow across three stages of a Malaysian business, from a standing start to an established position.

Illustrative Budget Share by Stage, Months 1–12
Illustrative share of search budget allocated to traditional SEO versus AI-specific work across three business stages and three four-month blocks.
Stage and period Traditional SEO AI-specific What triggers the shift
New site, no rankings
Months 1–4 100% 0% Nothing indexed to work with
Months 5–12 90% 10% First page-one positions appear
Some rankings, patchy coverage
Months 1–4 85% 15% Baseline the AI reporting early
Months 5–12 75% 25% Ten or more top-ten positions
Established, ranks widely
Months 1–4 70% 30% Rankings already earn citations
Months 5–12 60% 40% Assistant referrals become countable

Illustrative model by IZI Digital Marketing, built on Google Search Central’s published AI-features guidance and Ahrefs’ AI Overview citation research. Modelled allocations, not measured results.

Bottom Line: Let the ranking base pull the AI budget upwards. Set the trigger in advance and the split stops being an argument every quarter.

THE VERDICT

The Order That Wins for Most Malaysian Businesses

IN BRIEFFund traditional SEO to working strength, add AI-specific work as the rankings arrive, and review the split every quarter against one number. Our AI search visibility service is built around that order for exactly this reason.

AI SEO vs traditional SEO invites you to pick a side, and the honest answer refuses the framing. For Google, there is one search experience and one set of foundations under it. Outside Google, there is a genuinely separate and still-small opportunity in the assistants people are starting to ask instead.

So the practical order is: get retrievable, get ranked, then get cited. Skipping to the third step is the mistake, and it is an expensive one because the work is priced as a premium.

Set one review trigger before you sign anything. If your top-ten positions have not grown at all by month six, the problem is the traditional work, not the absence of AI work — and no amount of AI-specific spend will cover for it.

FAQ

Frequently Asked Questions

1. Is AI SEO just traditional SEO with a new name?

Mostly, but not entirely. It depends on which search surface you mean: for Google, the company’s own documentation says optimising for its AI features is still SEO, so the overlap is nearly total. For ChatGPT and Perplexity, which Google does not operate, there is separate work worth doing once your base is solid.

2. Will my rankings still matter if people stop clicking?

Yes, because rankings now do two jobs instead of one. What changes is the payoff: the same position earns fewer clicks than it did, while also feeding the AI answers that shape whether anyone considers you. Judge the position by both, not by traffic alone.

3. How much should a Malaysian SME spend on AI-specific work?

Very little in the first year, and nothing at all before you rank. The right figure depends on how many top-ten positions you already hold — under five, the answer is zero; above ten, a tenth to a quarter of the search budget is reasonable while you learn what it returns.

4. Do I need an llms.txt file or special AI markup?

Not for Google. Its guidance states that Search ignores llms.txt and similar files, so they neither help nor harm your visibility there. If a proposal lists creating one as a deliverable, treat that as a signal about the proposal rather than about your website.

5. How do I check whether AI answers are affecting my traffic?

Compare impressions against clicks in Search Console over twelve months. If impressions hold steady or rise while clicks fall, AI answers are the likely cause rather than a ranking loss — a distinction worth confirming before anyone rebuilds your content on the strength of a traffic dip.

Not sure which half of your search budget is actually working?

Book a free Blueprint consultation — we will read your Search Console data with you, count what you really rank for, and hand you a twelve-month split you could take to any agency.

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