AI Search / GEO

AEO vs SEO: What Carries Over and Where to Spend First

Sep 28, 2026 · 9 min read · By the Yogreet Team

AEO vs SEO isn't a choice between two strategies. It's one foundation with two different finish lines. Most of your SEO work carries straight over to answer engine optimization: crawlable pages, indexing, useful content and a real reputation. What changes is the target. You're trying to get quoted inside an AI answer, not ranked in a list. So spend first on the things both need, then add the few things only AEO rewards.

If you're a D2C founder with a limited budget and an SEO agency already on retainer, this post is for you. It goes line by line through your current SEO work and sorts it into three buckets: keep as is, keep but change, and stop or cut back. Then it gives you a spending order for the next 90 days.

If you need the basics first, start with our answer engine optimization guide. This post assumes you know what AEO is and want to know what to do with your money.

AEO vs SEO: the side-by-side table

Here's the whole comparison in one place. Each row is a piece of work your team or agency probably already does.

Work item	In SEO	In AEO	Verdict
Crawl access (robots.txt, CDN, firewall)	Googlebot must reach you	Googlebot plus OAI-SearchBot, PerplexityBot, Claude-SearchBot and others must reach you	Carries over, wider scope
Indexing and sitemaps	Google Search Console	Google Search Console plus Bing Webmaster Tools	Carries over, add Bing
Page speed and mobile experience	Ranking and conversion factor	Matters for the visitor AI sends you	Carries over
Keyword research	Find high-volume terms	Find the real questions buyers ask, including long, specific ones	Changes shape
Content format	Long pages built to rank	Clear answers near the top, one idea per section	Changes shape
Structured data	Rich results	Helps engines understand you, but Google says it's not required for AI features	Carries over, lower priority
Backlinks	Link equity for rankings	Mentions and reviews on sites engines read	Changes shape
Keyword density	Old habit, still common	Actively unhelpful	Stop
Rank tracking	Position for each keyword	Mentions and citations in answers to buyer prompts	Changes shape
Traffic reporting	Organic sessions	Referrals from AI tools, plus citations you can't click-track	Changes shape

The short version: nothing on your technical SEO list is wasted. The content and measurement rows are where you have to change how you work.

What carries over from SEO unchanged?

More than most AEO pitches will admit. Google is very clear on this. Its AI features documentation says: "There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary." A page needs to be indexed and eligible to show with a snippet. That's it.

The same page lists the SEO basics that still apply to AI features: allowing crawling in robots.txt, good internal linking, a good page experience, important content in text form, quality images and video, structured data that matches what's on the page, and an up-to-date Business Profile.

So if your SEO agency has done this well, you're not starting from zero. Keep paying for:

Technical health. Fast pages, clean site structure, no broken links, no duplicate product URLs fighting each other.
Indexing. Every product, collection and guide page you care about should be indexed. If Google can't show your page with a snippet, its AI features can't use it either.
Text that exists in the HTML. Product details hidden inside JavaScript tabs or image banners are an SEO problem and an AEO problem.
Page experience. An AI answer that sends a buyer to a slow, confusing product page wastes the visit. That's why conversion matters as much as visibility, and it's what our conversion-focused websites work is for.

Google also says in the same doc that when people click from results pages with AI Overviews, "these clicks are higher quality (meaning, users are more likely to spend more time on the site)." Fewer clicks, better clicks. That makes the landing page more important, not less.

What carries over but changes shape?

This is where most of your effort should shift. The work is familiar, but the goal is different.

Crawl access gets wider

In SEO, you mostly care about Googlebot. In AEO, you also care about bots most SEO audits never check. OpenAI's crawler documentation says "OAI-SearchBot is used to surface websites in search results in ChatGPT's search features." It's separate from GPTBot, which is for model training. You can block training and still allow search. OpenAI also says robots.txt changes can take about 24 hours to take effect.

The practical risk: a security plugin, CDN rule or copied "block all AI" snippet that quietly blocks the search bots. That kills your AEO while your SEO dashboards look perfectly healthy.

Keyword research becomes question research

SEO keyword research chases volume: "protein bar", "vitamin C serum". AEO needs the questions people actually type or say to ChatGPT, which are longer and more specific. Think "best protein bar without maltitol for diabetics in India" or "can I use vitamin C serum with niacinamide in summer".

Google describes a "query fan-out" technique, "issuing multiple related searches across subtopics and data sources" to build one AI answer. One buyer question turns into many hidden searches about ingredients, safety, price and brands. Every sub-question you answer clearly is another way in.

Where to find these questions: customer support chats, WhatsApp queries, Amazon and Nykaa Q&A sections, reviews, and what your sales team hears on calls.

Content format gets tighter

A 3,000-word "ultimate guide" built to rank can still work, but only if an engine can lift a clean passage out of it. That means:

A 2–3 sentence direct answer at the top of each page and each section.
Headings that match real questions, not clever ones.
Specific facts: grams of protein, price per serving, ingredient percentages, certifications, delivery times.
Tables for comparisons.

Bing's AI Performance announcement gives almost the same advice. It recommends "clear headings, tables, and FAQ sections" and backing up claims with "examples, data, and cited sources." We cover the writing side in detail in our generative engine optimization post.

Backlinks become mentions

In SEO, a link from a strong site passes ranking power. In AEO, what matters more is whether credible sources name you in the right context. That includes "best X in India" roundups, marketplace reviews, Reddit threads, YouTube reviews and press. A mention with no link can still shape what an AI says about you. So the PR and outreach budget you spend on links should also aim at being named in the articles and threads that engines read for your category.

Rank tracking becomes prompt tracking

There's no "position 3" in a ChatGPT answer. Instead, you track a fixed list of buyer prompts every month and note whether you're mentioned, whether you're linked, and who else appears. Bing now gives first-party data here. Its AI Performance report, launched on 10 February 2026, shows total citations, average cited pages, the "grounding queries" the AI used, and citation counts per page, across Copilot and Bing's AI experiences. Google counts AI Overviews and AI Mode traffic inside the normal Search Console Performance report under "Web", so you can't split it out there.

What doesn't carry over?

A few SEO habits don't help in AEO, or make things worse.

Keyword stuffing. Repeating the target phrase was never good SEO, and in AI answers it hurts. The original GEO research paper found that rewriting content can boost visibility in generative engine responses by up to 40% in its test setup, and that results vary by domain. As we cover in our GEO post, keyword stuffing was not one of the methods that helped.
Thin pages built for one keyword. Ten near-identical "best protein bar in Mumbai / Pune / Delhi" pages give an engine nothing new to quote.
Judging success on organic sessions alone. AI answers can name your brand without anyone clicking. If you only watch traffic, you'll miss real gains and real losses.
Buying special AI files or markup. Google says you don't need new machine-readable files or special schema for its AI features. An llms.txt is cheap to add, but don't pay a premium for it.

Where should a D2C brand spend first?

Spend in the order that unblocks everything else. Here's how we'd sequence it for a brand doing ₹1–50 Cr with a small team.

Weeks 1–2: fix access (cheap, fast, high risk if skipped)

Check robots.txt allows Googlebot, Bingbot, OAI-SearchBot, PerplexityBot, Claude-SearchBot and Claude-User.
Decide on purpose whether to allow training bots like GPTBot. That's a business choice, separate from search.
Check your CDN, Shopify apps and WordPress security plugins for bot-blocking rules.
Verify your site in Bing Webmaster Tools and submit your sitemap. Many Indian D2C brands have never done this.

This is mostly a few hours of developer time. If you do nothing else this quarter, do this.

Weeks 3–6: rewrite your ten most important pages

Pick your top product pages, main collection page and best buying guide. For each one:

Add a direct answer at the top.
Replace vague claims ("cleanest", "best") with facts you can back up.
Add an honest FAQ with 4–6 real buyer questions.
Make sure the facts match your Amazon, Flipkart, Nykaa and Blinkit listings.

This is where you move budget from "publish 8 blog posts a month" to "make 10 pages genuinely quotable."

Weeks 7–12: build question coverage and mentions

Write 4–6 pages that answer the fan-out questions around your category: how to choose, how to use, who it's not for, how it compares.
Pitch 5–10 writers of "best X in India" articles that already rank, with samples and a clear fact sheet.
Encourage detailed reviews on marketplaces, not just star ratings.

Ongoing: measure answers, not just rankings

Run 20–30 fixed buyer prompts monthly in ChatGPT, Perplexity, Gemini, Google AI Mode and Copilot.
Check Bing's AI Performance report monthly.
Tag AI referral traffic (chatgpt.com, perplexity.ai, copilot.microsoft.com and similar) in your analytics and check whether those visitors buy.

What about the budget split?

We won't pretend there's a proven ratio. It depends on how healthy your SEO already is. A rough rule we use: if your technical SEO is solid, move the money you'd spend on new keyword-targeted blog posts into rewriting key pages and getting mentioned off-site. If your technical SEO is broken, fix that first, because it's the foundation for both.

Here's an illustrative example. A protein-bar brand spends ₹60,000 a month with an SEO agency, mostly on four new blog posts and link building. A sensible AEO shift would keep the technical retainer, cut blog output to one or two posts that answer real buyer questions, spend the freed hours rewriting the top ten pages, and point the link-building budget at getting named in category roundups and creator reviews. Same money, different targets.

How to check yours

Start where AEO fails most often. Run your domain through our free AI crawler checker to see whether ChatGPT, Perplexity, Claude and Google's bots can reach your site. Then run the free sitemap checker to make sure your key pages are listed.

To see how your SEO work is translating into AI answers, get the free AI visibility report. It shows which buyer prompts mention you, which mention competitors, and which sources the engines cite. That gives you a baseline before you move any budget.

If you'd rather have one team handle both the SEO foundation and the AEO layer, that's what our Get Found work covers.

FAQ

Is AEO replacing SEO?

No. AI answer engines mostly use pages they can crawl and that already rank or appear in search. Google says pages only need to be indexed and eligible for a snippet to appear in AI Overviews and AI Mode, so SEO is the base AEO sits on.

Can my current SEO agency do AEO?

Often, yes, if they're willing to change what they measure. Ask whether they check AI crawler access, track mentions in AI answers, and use Bing Webmaster Tools. If the answer to all three is no, they're only doing SEO.

Do I need separate content for AEO and SEO?

Usually not. The same page can rank and get quoted if it opens with a clear answer, uses question-style headings and backs its claims with specific facts. Rewrite existing pages before writing new ones.

What's the first thing to fix for AEO?

Crawler access. If robots.txt, your CDN or a security plugin blocks OAI-SearchBot, PerplexityBot or Claude-SearchBot, nothing else you do will show up in those engines.

How do I measure AEO if AI answers don't send clicks?

Track a fixed set of buyer prompts every month and log whether you're mentioned or cited. Use Bing Webmaster Tools' AI Performance report for Copilot citations, and watch referral traffic from AI tools in your analytics.

If you want to know how much of your SEO work is already paying off in AI answers, start with the free AI visibility report. Or get in touch and we'll walk through where to spend first.