{"id":9736,"date":"2026-07-29T14:04:49","date_gmt":"2026-07-29T14:04:49","guid":{"rendered":"https:\/\/kaizenaire.ai\/blog\/980-singapore-seo-keywords-68-percent-ai-answer\/"},"modified":"2026-07-29T16:02:29","modified_gmt":"2026-07-29T16:02:29","slug":"980-singapore-seo-keywords-68-percent-ai-answer","status":"publish","type":"post","link":"https:\/\/kaizenaire.ai\/blog\/980-singapore-seo-keywords-68-percent-ai-answer\/","title":{"rendered":"We Checked 980 Singapore SEO Keywords: 68% Now Return an AI Answer"},"content":{"rendered":"\n

We pulled 980 Singapore-relevant keywords about SEO services and checked what Google actually returns for each one. Keywords carrying 68% of the total search volume now trigger an AI Overview<\/strong> \u2014 an AI-written answer sitting above the ranked results. In our own category, two-thirds of the demand meets a machine-written summary before anyone reaches a link.<\/p>\n\n\n\n

We are an SEO agency publishing a number that makes SEO look harder to sell. It seemed better to measure it than to wait for a client to ask.<\/p>\n\n\n\n

What exactly did we measure?<\/h2>\n\n\n\n

In July 2026 we exported broad-match keyword data for the phrase “SEO service” in the Singapore market. The raw export held 1,167 keywords. We removed every keyword aimed at another country \u2014 searches for agencies in Manchester, Bali, and a long tail of American cities \u2014 which took out 187 rows. That left 980 keywords carrying 12,630 searches a month<\/strong>.<\/p>\n\n\n\n

For each of those we read the SERP features recorded against it: whether Google shows an AI Overview, a Local Pack, ads, and so on. Then we weighted by search volume rather than counting keywords, which turns out to matter enormously.<\/p>\n\n\n\n

What did the numbers actually show?<\/h2>\n\n\n\n
What we checked<\/th>Keywords<\/th>Monthly volume<\/th>Share of volume<\/th><\/tr><\/thead>
Returns a Google AI Overview<\/td>22<\/td>8,600<\/td>68%<\/strong><\/td><\/tr>
Returns a Local Pack (map results)<\/td>19<\/td>8,500<\/td>67%<\/td><\/tr>
Returns both<\/td>12<\/td>\u2014<\/td>\u2014<\/td><\/tr>
Everything else<\/td>958<\/td>4,030<\/td>32%<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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Twenty-two keywords out of 980. Two percent of the rows, and more than two-thirds of the demand. If you counted keywords instead of searches you would conclude that AI Overviews are a rounding error in this category, and you would be wrong by a factor of thirty.<\/p>\n\n\n\n

Why do 22 keywords carry two-thirds of the demand?<\/h2>\n\n\n\n

Because search volume in a commercial category is not spread evenly \u2014 it is piled up on a handful of obvious phrases. The single biggest keyword in our export carries 3,600 searches a month on its own, which is 28% of the entire Singapore-relevant universe from one phrase. It is a search for local SEO services, and it returns both an AI Overview and a Local Pack. A business owner typing it sees a written answer, then a map, and only then the ranked links.<\/p>\n\n\n\n

The four largest keywords between them account for more than half of all the demand we measured. Everything else is a very long tail of small variations.<\/p>\n\n\n\n

The part of the export that was worth nothing<\/h2>\n\n\n\n

Here is the finding that surprised us most, and it is not flattering to the way our industry uses these tools. Of the 980 Singapore-relevant keywords, 951 had no intent classification, a keyword difficulty of zero and a cost-per-click of zero<\/strong> \u2014 meaning the tool had no meaningful data on them at all. Those 951 rows carried 2,620 searches between them, an average of under three a month each.<\/p>\n\n\n\n

Ninety-seven percent of the rows in a keyword export were, for planning purposes, noise. Only 23 keywords in the entire file carried 50 or more monthly searches, and those 23 accounted for 77% of the volume.<\/p>\n\n\n\n

This matters if you have ever been shown a content proposal built on a keyword count. A plan that promises to target a thousand keywords, or to publish a hundred articles because a hundred rows appeared in a spreadsheet, is usually a plan built on the noise. The honest version of that proposal is much smaller and much more specific, and it is harder to sell because it looks like less work.<\/p>\n\n\n\n

What does this change about SEO?<\/h2>\n\n\n\n

Less than the headline suggests, and more than most retainers have adjusted for.<\/p>\n\n\n\n

It does not mean search traffic disappears. The keywords with AI Overviews still carry the highest commercial value in the file \u2014 the two most expensive keywords by advertising cost both sit in that group, which is the ad market’s way of saying those clicks still convert. Buyers are still arriving. They are arriving through a different door.<\/p>\n\n\n\n

What it does mean is that the target has split in two. A page can now win by ranking, or by being the source the AI summary quotes, and increasingly it needs to do both. The useful discovery is how much the underlying work overlaps: a site that can be crawled cleanly, content structured so a specific question receives a specific answer, unambiguous signals about what your business is, and real authority behind the claims. That is the same list either way.<\/p>\n\n\n\n

Which is why we treat the AI-answer layer as part of doing SEO properly<\/a> rather than as a separate service with its own invoice. The work was always going to be the same work.<\/p>\n\n\n\n

What should you actually do about it?<\/h2>\n\n\n\n
    \n
  1. Check your own keywords, not ours.<\/strong> The 68% is specific to searches about SEO services. Your category has its own number and it is not hard to find \u2014 search your top ten terms and look at what sits above the results.<\/li>\n\n\n\n
  2. Weight by volume when you plan.<\/strong> A keyword list sorted alphabetically hides where the demand actually is. Sorted by volume, most lists collapse to a handful of terms that matter and a tail that does not.<\/li>\n\n\n\n
  3. Look at what the AI answer currently says about your category.<\/strong> It is naming someone. Finding out who, and on what basis, is a twenty-minute exercise that most businesses have never done.<\/li>\n\n\n\n
  4. Stop paying for position alone.<\/strong> If your reporting shows only rankings, it is describing a surface that two-thirds of your demand now passes over on the way to something else.<\/li>\n<\/ol>\n\n\n\n

    Two percent of the keywords. Sixty-eight percent of the searches. If you plan by counting rows, you will miss where all the demand actually is.<\/p><\/blockquote><\/figure>\n\n\n\n

    Methodology, so you can check this<\/h2>\n\n\n\n

    A number this convenient should be reproducible. Here is exactly how it was produced.<\/p>\n\n\n\n

    Parameter<\/th>Value<\/th><\/tr><\/thead>
    Tool<\/td>Semrush Keyword Magic Tool<\/td><\/tr>
    Match type<\/td>Broad match<\/td><\/tr>
    Seed term<\/td>“seo service”<\/td><\/tr>
    Database<\/td>Singapore<\/td><\/tr>
    Collected<\/td>29 July 2026<\/td><\/tr>
    Raw export<\/td>1,167 keywords<\/td><\/tr>
    Exclusion rule<\/td>Keywords naming a non-Singapore location removed (187 rows)<\/td><\/tr>
    Analysed universe<\/td>980 keywords \/ 12,630 monthly searches<\/td><\/tr>
    AI Overview flag<\/td>Semrush’s recorded SERP-feature field, not a live manual check<\/td><\/tr>
    Calculation<\/td>Sum of volume for AI-Overview keywords ÷ total volume of the analysed universe<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

    Download the 22 AI-Overview keywords (CSV)<\/a><\/strong> \u2014 keyword, monthly volume, difficulty, CPC, intent and recorded SERP features.<\/p>\n\n\n\n

    What this measurement does not establish<\/h3>\n\n\n\n