Conversational keyword research for AEO: a practical guide for Nepali businesses
Traditional keyword research optimises for short, typed phrases like 'momo Kathmandu price'. AEO needs the full question behind that phrase, 'how much do momos cost in Kathmandu right now', because that's the shape people type into ChatGPT and speak into voice search. This guide shows how to find those questions and use them, with Nepali small business examples.
Open Search Console for most small business sites and the top queries are short and clipped: 'momo kathmandu price', 'thamel hotel cheap', 'ntc data pack'. That's how people type into a search box when they're trying to save keystrokes. It is not how the same people phrase a question to ChatGPT, to Google's AI Overview prompt box, or out loud to a phone.
AEO keyword research has to work with both shapes at once: the clipped keyword that still drives classic search traffic, and the full question underneath it that drives citations in answer engines. Getting only the short version means writing pages that rank but never get quoted.
The core difference: fragments versus full questions
Classic keyword research optimises around search volume for fragments: 'momo price Kathmandu', 'best momo Kathmandu', 'momo delivery Thamel'. These are efficient to type and they still matter, ranking for them puts you in front of people scanning a results list.
Conversational keyword research works backward from the actual sentence a person would ask a human, or type into a chat interface, if there were no cost to typing more. 'How much does a plate of momo cost in Kathmandu in 2026?' 'Which momo place in Thamel delivers after 10pm?' These are longer, grammatically complete, and often carry an implicit qualifier, a location, a time, a comparison, that the fragment version drops.
The practical reason this matters for AEO: generative answer engines are built around a natural-language question, so the content that best matches the full intent of that question, not just its keywords, is what gets surfaced and quoted.
Where to actually find conversational phrasing
You don't need paid tools to build this list. The raw material is publicly visible if you look in the right places, and the goal is collecting the exact wording, not a tidied-up paraphrase.
- 'People also ask' boxes on the live results page for your fragment keywords, each one is a real full question, and expanding one reveals more nested underneath.
- Ask ChatGPT or Perplexity your own fragment keyword and read the follow-up questions they suggest, these often reveal the sub-questions a real user would ask next.
- Reddit and Facebook group threads (r/Nepal, local Kathmandu/Pokhara buy-sell-ask groups) where people phrase real questions to other humans, not to a search box.
- Your own WhatsApp, phone or in-person customer questions, write down the literal sentence a customer used, not your summary of what they meant.
- Autocomplete on Google, but keep typing past the fragment, 'how much does a trekking permit' then a space, to surface the longer completions rather than stopping at the short one.
Worked example: a Pokhara guesthouse
Fragment keyword research turns up: 'guesthouse Pokhara cheap', 'lakeside hotel Pokhara', 'Pokhara hotel wifi'. These are worth having pages for, they still carry search volume.
Conversational research on the same topic turns up a different, more specific set: 'is it safe to walk around Lakeside Pokhara at night', 'do Pokhara guesthouses have hot water all day', 'how far is Lakeside from the bus park', 'can I get a room in Pokhara without booking ahead in October'. Each of these is a full question with an implicit condition, safety, time of day, season, distance, that the fragment version erases.
The guesthouse that writes a direct, dated, specific answer to 'do Pokhara guesthouses have hot water all day' ('Solar-heated water is available most of the day; expect it to run cool for an hour or two around 6-7am before the tank reheats') has something genuinely quotable. A page that only targets 'Pokhara guesthouse wifi' as a keyword has nothing to say to that specific question at all.
Classify each question by what kind of answer it wants
Not all conversational questions want the same treatment, and mismatching the answer shape to the question type is a common mistake.
'How much / how many / when' questions want a specific number or date in the first sentence. 'Is it safe / is it worth it / should I' questions want a direct verdict first, then the reasoning and exceptions. 'What is / what does X mean' questions want a tight definition. 'How do I' questions want an ordered list of steps. Sorting your question list into these buckets before writing tells you the format to build, not just the topic.
- Numeric questions: lead with the figure, include the date it's accurate as of.
- Judgment questions ('is it worth it', 'should I'): lead with a direct answer, then the reasoning and the exception cases.
- Definitional questions: name the thing, its category, and what distinguishes it, in the first sentence.
- Procedural questions: numbered steps, one action per step.
Long-tail conversational keywords are lower competition, not just more natural
There's a practical upside beyond matching how people search AI systems: full conversational questions are almost always lower competition than the fragment version, because fewer competitors bother writing a page specifically for 'is it safe to drink tap water in Kathmandu without boiling it' compared to the number of pages competing for 'Kathmandu water safety'.
For a small business with limited content budget, this is often the better investment even ignoring AEO entirely, since it's easier to win a first-page ranking and, separately, easier to become the quoted source when an answer engine looks for a specific, narrow question rather than a broad topic.
Don't discard the fragment keywords, use both
The point isn't to replace fragment-style keyword targeting with conversational-only content. Title tags, URL slugs and H1s still often read better closer to the fragment or a natural compromise between the two, since that's still how people type into a plain search box for navigational and broad queries.
The practical pattern that works: use the fragment as the page's overall topic and title, then build the page's sections around the conversational sub-questions people actually ask about that topic, each with its own question-shaped H2 and direct answer beneath it. You end up ranking for the fragment and being extractable for the full questions inside it.
Key takeaways
- ✓Fragment keywords ('momo price kathmandu') still matter for classic ranking; full conversational questions matter for being quoted by answer engines.
- ✓Find real conversational phrasing from People Also Ask, chatbot follow-up suggestions, community forums and your own customer messages, not from paraphrasing.
- ✓Classify each question by the answer shape it wants: number-first, verdict-first, definition, or ordered steps.
- ✓Conversational long-tail questions are usually lower competition than their fragment equivalents, a practical win independent of AEO.
- ✓Use the fragment keyword for the page's title and topic, and build conversational sub-questions as the page's individual sections.
Explore the data behind this guide
Conversational Keyword Research for AEO in Nepal, FAQ
What's the difference between long-tail keywords and conversational keywords?+
They overlap heavily but aren't identical. Long-tail describes any low-volume, highly specific keyword phrase, which could still be typed as a fragment ('cheap guesthouse Lakeside October'). Conversational specifically means phrased as a natural question a person would ask another person or a chatbot ('will I be able to find a cheap guesthouse in Lakeside in October without booking'). Most conversational keywords are long-tail, but not all long-tail keywords are conversational.
Do I need paid tools to find conversational keywords?+
No. People Also Ask boxes, autocomplete completions, ChatGPT and Perplexity follow-up question suggestions, community forums and your own customer questions cover most of it for free. Paid tools mainly help at scale, across hundreds of topics, rather than being necessary to find the questions in the first place.
Should my page title use the conversational phrase or the short fragment?+
Generally the fragment or a natural compromise for the overall page title, since that still matches how most people type a navigational search. Save the full conversational phrasing for your H2 and H3 subheadings within the page, where each one answers a specific question directly beneath it.
Is conversational keyword research only relevant for voice search?+
No, that's the old framing. It matters just as much for typed AI chat queries and for Google's AI Overview prompt box, both of which accept and often encourage full natural-language questions rather than fragments. Voice search is one channel this serves, not the whole reason to do it.
How many conversational questions should one page cover?+
As many genuine ones as the topic actually has, and no invented ones to pad the count. A guesthouse page might reasonably answer six to ten real questions; a simple product page might only have two or three genuine ones. A thin, honest set beats a padded list of questions nobody actually asks.
Related guides
Sources & data note
The mechanics of Google's own AI features and its documented preference for natural-language queries are drawn from the Google Search Central and AI Overview documentation cited above. Claims about ChatGPT and Perplexity's handling of conversational queries, and the observation that long-tail conversational phrases tend to face less on-page competition, are practitioner observation from testing and comparing search results rather than a documented, sourced statistic; no specific volume or competition figures are asserted here without a source. The Nepal-specific examples (guesthouse questions, momo pricing) are illustrative and not sourced pricing data, verify any figures with the actual business before relying on them. Guides are written from primary sources, Nepali government departments, operators, park authorities and standards bodies, and each guide lists the sources used for its own facts. Rules, fees and prices in Nepal change; treat figures as current at the review date shown on each guide and verify anything money- or visa-critical with the issuing authority before you rely on it.