Terms the top 10 share for “ai for customer service”
Someone ran “ai for customer service” through our Top 10 Term Finder, so we kept the result. Below are the words and phrases the ranking pages had in common that day, and how many of them used each one.
The shared terms
| Term | Pages using it | Share | Total mentions |
|---|---|---|---|
| human agents | 7/8 | 88% | 23 |
| human support | 5/8 | 63% | 6 |
| agents focus | 6/8 | 75% | 9 |
| customer sentiment | 6/8 | 75% | 10 |
| support agents | 6/8 | 75% | 7 |
| wait times | 6/8 | 75% | 7 |
| satisfaction | 8/8 | 100% | 44 |
| empathy | 6/8 | 75% | 15 |
| customer queries | 6/8 | 75% | 8 |
| customer questions | 6/8 | 75% | 7 |
| customer satisfaction | 7/8 | 88% | 31 |
| customer expectations | 6/8 | 75% | 9 |
| service operations | 6/8 | 75% | 8 |
| chat email | 6/8 | 75% | 6 |
| service agents | 5/8 | 63% | 21 |
| routine inquiries | 5/8 | 63% | 10 |
| service team | 5/8 | 63% | 8 |
| implementing customer | 5/8 | 63% | 7 |
| sentiment analysis | 7/8 | 88% | 19 |
| expectations | 7/8 | 88% | 14 |
| customer issues | 6/8 | 75% | 9 |
| complex issues | 6/8 | 75% | 6 |
| response times | 7/8 | 88% | 14 |
| inquiries | 7/8 | 88% | 32 |
| wait | 6/8 | 75% | 8 |
| analyze customer | 5/8 | 63% | 7 |
| sentiment | 7/8 | 88% | 34 |
| human agent | 5/8 | 63% | 16 |
| complex customer | 5/8 | 63% | 13 |
| service customer | 5/8 | 63% | 12 |
← swipe the table sideways for the rest of the columns
Single words and two-word phrases, stopwords removed. A term is listed only when at least two pages use it. Order comes from how many pages share the term, weighted so that common filler does not outrank the specific language of the topic.
The pages this came from
- 1ibm.com20,335 chars
- 2salesforce.com30,212 chars
- 3reddit.comno readable text
- 4apu.apus.edu11,959 chars
- 5creatio.com39,610 chars
- 6forethought.ai17,193 chars
- 7databricks.com23,609 chars
- 8ibm.com15,812 chars
- 9youtube.com7,814 chars
Where these numbers come from
We asked Google (country us, language en) for “ai for customer service” on 2026-08-20, took the top 10 organic results, and read the body text of each. 8 of them returned enough text to count; the rest are listed above so you can see what the sample left out. Counting is per page, not per mention, so one page repeating a phrase forty times still counts once.
This describes what ranks. It is not a recipe. Covering these terms will not lift a page, but missing all of them usually means the page is about something else. The full methodology has the rest.
This run is more than 30 days old and is queued for a re-fetch.
Tools that produce a list like this
Commercial content tools build the same kind of list, usually with a score attached. We test them against this ground truth and publish what the numbers say.
- NeuronWriter — A weighted term list and a SERP that tracks Google's closely, under a content score that did not predict rank in our sample.
- Scalenut — A weighted term list and a scored competitor table, under a content score that did not track rank against Google or against its own SERP. Eight-keyword run.
- Surfer SEO — A full 20-keyword run: its content score did not track Google rank under either URL match, and a day-two re-run swapped terms on three of five keywords while the scores held still.
- Clearscope — The widest term coverage we have measured, under letter grades that did not track even its own SERP. Three-keyword pilot; full run pending.
Side by side on the comparison table.
Run it on your own keyword
The Term Finder is free and needs no account. Five lookups a day, results cached for 30 days.