To choose words that promote your site in AI, you start from the questions your customers actually ask, not from a list of short phrases. Answer engines like ChatGPT, Claude, Perplexity, and Grok receive full questions. That's why you combine short keywords, which are the foundation in Google, with complete questions that express intent. Around each such pair you build content that answers directly and can be cited.
In this guide you'll find an organized process for choosing words and questions, a table comparing the two types of phrases, common mistakes, and ways to measure whether your choices are working. The guide is intended for owners of small and mid-sized business sites who want to appear both in Google results and in chatbot answers.
Why is choosing words for AI search different from classic keyword research?
On Google, a person usually types two or three words and picks a link from a list. In a chat, the same person writes a full sentence with context: their budget, where they are located, what they have already tried, and what matters to them. The engine breaks the request into sub-questions and looks for passages of text that answer each one.
So the unit of work changes. Instead of a single phrase, you work with a pair of a keyword and a question, and behind both stands an intent. Short keywords still serve Google rankings and page indexing. Full questions determine whether your text will fit the answer the engine assembles.
What's the difference between a keyword and a prompt?
A keyword is a topic label, for example "mortgage advice." A prompt is a request with a goal, for example "I'm buying my first apartment and I'm not sure whether I need a mortgage advisor — what do they actually do?" A page built only around the label will show up in search. A page that answers the request itself can serve as raw material for an answer.
Are short keywords still important?
Yes. Some answer engines rely on a page index and on search results to find sources. A page that isn't crawled, isn't indexed, or isn't clearly tied to a topic will struggle to be chosen as a citation source. The SEO foundation remains, and on top of it you add the question layer.
How to choose the right words to promote your site: a six-step process
The following process suits a small or mid-sized business site and can be completed without a large research budget. It's built so that each step feeds the next.
- Start from services, not tools. Write a list of what the business actually sells and the names customers use for each service. These aren't always the names that appear on your site.
- Collect real questions. Go through sales calls, emails, messages, and reviews, and write down every question exactly as it was phrased, even if the wording is awkward. These questions will become your prompts.
- Cross-reference with Search Console. Look for queries with many impressions and few clicks, as well as long queries phrased as questions. These are signs of demand that doesn't yet have a good answer on your site.
- Sort by intent and buying stage. Divide into understanding questions ("what is"), comparison questions ("which is better"), and decision questions ("how much does it cost," "how do I choose a provider"). Decision questions are closer to a conversion.
- Group into clusters. Each topic gets one central page, and sub-questions get supporting posts that link to it. This way you don't end up with several pages competing for the same phrase.
- Formulate a central question and a direct answer for each cluster. The first paragraph answers in a few sentences, and the rest of the page goes deeper.
What does it look like when the process runs on a system?
Grid13 is a content automation platform and an AI-based SEO and GEO tool. It works with exactly these components: you define search terms and matching questions, and connect your site, Analytics, and Search Console. Based on these settings, it creates blog posts and publishes them on your site. The goal is for systems like ChatGPT, Claude, Perplexity, and Grok to crawl the content and rely on it when someone asks a relevant question. All the data connects in one place, so the words you choose don't stay a list in a spreadsheet. They turn into content you can measure.
How many questions should each topic have?
There's no fixed number. A reasonable rule of thumb is one central question per page, plus a few sub-questions answered in H3 headings or in an FAQ section. If a sub-question requires several paragraphs of explanation, it probably deserves a separate post.
Short words vs. full questions: what does each one give you?
The table summarizes the practical differences between the two types of phrases and what you write around each one.
| Phrase type | Example | Where it has impact | What to write around it |
|---|---|---|---|
| Short keyword | Bookkeeping for businesses | Google ranking, understanding the page topic | A clear service page with a heading, description, and internal links |
| Long-tail phrase | Bookkeeping for a new self-employed professional | Focused, high-intent traffic | A dedicated post or an expanded section on the service page |
| Full question | When does a self-employed professional need a bookkeeper rather than just software? | Chatbot and answer-engine responses | A direct answer paragraph, a list of considerations, and an FAQ section |
The three types complement each other. A site that covers only short words will be thin on answers. A site that contains only questions, without clear service pages, will struggle to move the reader from the answer to a conversion.
Which keyword-selection mistakes waste your content budget?
- Chasing search volume alone. A popular phrase unrelated to what you sell will bring traffic that doesn't convert, and an answer engine won't connect the business to the topic.
- Several pages for the same question. Nearly identical posts split authority between them and confuse both Google and the models.
- Internal jargon. If customers call the service by a different name than you do, write in their language and mention the professional term as an explanation.
- A question in the heading without an answer in the paragraph. A heading phrased as a question only helps if the first sentence after it actually answers it.
- A list that doesn't get updated. Customers' questions change with products, seasons, and regulations, and a frozen list quickly becomes outdated.
How do you know if the words you chose work in AI too?
Measurement is done on two parallel tracks: what happens on Google and what happens in AI engine answers.
What do you check in Search Console and Analytics?
In Search Console, track impressions and the average position of the queries you defined, and pay special attention to long queries that start showing up. In Analytics, look for referrals from AI engine domains, such as chatgpt.com or perplexity.ai, and check which pages they land on and what visitors do afterward.
How do you check mentions in the answers themselves?
Once a month, run your list of central questions through several engines and record in a spreadsheet: was the business mentioned, was the site cited as a source, and which page was cited. The results vary from conversation to conversation, so look at the trend over time rather than a single check. It's worth connecting your Analytics and Search Console data to the site and tracking the trend over time. You can visit the Grid13 website.
Frequently Asked Questions
How many keywords should each page have?
It's best to build each page around one primary keyword and one central question. Close variations and sub-questions go into the subheadings and the FAQ section. A page that tries to cover several different topics struggles to be chosen as the answer for any of them.
Is keyword research still relevant when people ask chatbots?
Very relevant, but it's no longer enough on its own. Short phrases signal to Google what the page is about and help it get indexed. Full questions add the context an answer engine looks for when it assembles a response.
How do you find the questions customers type into AI engines?
The questions customers send to sales reps and support are very similar to the ones they type into a chat, which makes them a good starting point. Add long-tail queries from Search Console, and try out different phrasings in the engines yourself to see which topics come up in the answers.
Should you phrase blog post headings as questions?
Yes, as long as the paragraph after the heading opens with the answer itself and not with an introduction. A heading phrased as a question makes it easier for engines to identify a passage that matches a user's question. Make sure to phrase it the way a customer would ask.
How often should you refresh the list of words and questions?
A quarterly review is enough for most small and mid-sized businesses. Do it sooner when you launch a new service, when a price or term changes, or when Search Console data shows new recurring queries.
Start choosing words that work on both Google and AI
Research into words and questions is only worth as much as the content built from it and the measurement that follows. If you want to connect your search terms, your customers' questions, your site, and your Search Console and Analytics data into a single process that creates and publishes content, meet the Grid13 platform for promotion on Google and AI engines.