Growth
2026-10-25 · 8 min read
Sapun Lamichhane
Founder & CEO of Arcetis
Traditional SEO ranking signals - backlinks, domain authority, keyword density - still matter to AI answer engines, since most of them are built on top of or alongside search indexes. But they weigh something extra that traditional SEO does not prioritize as heavily: how easily a specific piece of information can be extracted cleanly and used as a direct answer, and how consistently that same information appears across multiple sources on the web.
A page can rank reasonably well on Google while being nearly useless to an AI answer engine, if the actual facts are buried inside long, vague paragraphs rather than stated clearly and directly. Extractability is its own skill, separate from traditional ranking.
“Google ranks pages. AI answer engines extract sentences. If your best sentence is buried in paragraph four behind a generic introduction, it does not matter how good it is - it will never get lifted into an answer.”
Most business content in Nepal still opens with a long, generic introduction before getting to the actual point - a habit inherited from old-school SEO advice about word count. AI answer engines reward the opposite: state the direct answer to the likely question in the first sentence or two of a section, then explain and support it afterward, rather than building up to it.
Specific numbers and facts beat vague claims every time, both for human trust and for AI extraction. "Management fees typically run NPR 15,000 to 60,000 a month" is extractable and citable. "We offer affordable, competitive pricing" is neither - it is marketing language an AI model has no reason to lift into a factual answer.
A clearly formatted question followed immediately by a direct, specific answer is close to the ideal shape for AI extraction - it already resembles the question-and-answer format these tools use internally. Definition-style content - clearly explaining what something is, in a sentence or two, before going deeper - performs similarly well, because it mirrors exactly the kind of direct answer a user is often asking the AI tool for in the first place.
AI answer engines do not rely on a single source for confidence in a piece of information - consistency across multiple independent sources increases how much weight is given to a claim. This means directory listings, press mentions, genuine third-party reviews, and other sites referencing your business all contribute to how trustworthy an AI system treats information found on your own site, not just your site's own content in isolation.
This is part of why pure on-site optimization is not the whole picture for AEO and GEO - a business visible and consistent across the wider web tends to get cited more reliably than one that is well-optimized on its own site alone but invisible everywhere else.
Long introductory fluff before the actual point, inconsistent information across different pages of your own site - different prices or claims in different places - and outdated content that contradicts more recent, more consistent information elsewhere on the web all actively hurt your chances of being the source an AI tool chooses to cite, even if the content ranks acceptably in traditional search.
A generic version might read: "In today's competitive market, many businesses are looking for affordable digital marketing solutions tailored to their needs." A citable version states the same underlying fact directly: "Digital marketing retainers in Nepal typically range from NPR 15,000 to 80,000 a month depending on scope, with ad spend charged separately." The second version is not just better writing - it is the version an AI tool can actually lift and use as part of a direct answer. Arcetis has worked in AEO and GEO - optimizing for these zero-click AI answer engines - since before most agencies in Nepal were using the term, and this kind of direct, specific content structure is the foundation of that work, not a replacement for good traditional SEO but an addition to it.
They overlap heavily but are not identical. SEO is largely about ranking a page in a list of results; AEO and GEO are about being the specific source an AI tool extracts and cites directly in an answer, which depends more on clarity, directness, and consistency than on traditional ranking signals alone.
This is genuinely harder to measure than traditional search rankings, since these tools do not provide the same analytics access search engines do. The most reliable method right now is manually testing relevant questions across different AI tools periodically and noting whether your business is mentioned.
No - they reinforce each other more than they compete. Well-structured, clear, factually specific content tends to perform better in both traditional search rankings and AI citations, since both ultimately reward content that answers a real question clearly rather than padding it with filler.