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metadata
license: cc-by-4.0
pretty_name: 'Keyfern: What People Search About Superintelligence (Sept 2026)'
language:
  - en
tags:
  - keyword-research
  - autocomplete
  - search-intent
  - seo
  - artificial-intelligence
  - superintelligence
  - ai-policy
  - tabular
  - cybermax
task_categories:
  - text-classification
  - tabular-classification
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/*.parquet

Keyfern: what people search about superintelligence (Sept 2026)

Superintelligence News: One AI bill's news spike, day by day

Need it fresh, filtered or via API? This free file is a snapshot (search questions at the last refresh), last updated 2026-09-24.

  • Keyfern on Apify ($0.001 per keyword idea): gets keyword ideas and questions for your own seeds from 5 search engines, deduped and tagged with intent; Apify's free $5 monthly credit covers about 5,000 ideas.
  • Swellmeter Trending API (50 free calls a day, $5 for 1,500 (no expiry), or $19/month for 6,000): gives you Google's trending searches for 30 countries as they happen plus what the feed forgets: every topic of the day with first seen and peak traffic, 30 days of history, cross-country topics and a topic search, by REST API or MCP.
  • Swellmeter on Apify ($0.003 per keyword analyzed): checks Google Trends direction for your own keywords with a plain rising/falling verdict, daily if scheduled; failed lookups are free and Apify's free $5 monthly credit covers about 1,600 keywords.
  • Using it at work? Commercial license + support (from $49/year): invoice, PDF licence certificate, named support, freshness and availability commitments and an SLA; the data stays free and open for everyone.
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  • CyberMax Store: every CyberMax data product, API plan and weekly brief in one place.

"Superintelligence" moved from books and sci-fi into the news in the week of 22 Sep 2026: an AI remark in a UN General Assembly speech (22 Sep) and a proposed US bill to ban artificial superintelligence (reported by AP on 23 Sep; see the Policywren AI policy tracker for the verified events). This dataset records what people were typing into search boxes about it that week: 1,106 unique autocomplete suggestions for four seeds (superintelligence, super intelligence, artificial superintelligence, ai ban), collected on 24 Sep 2026 from Google, YouTube and Bing autocomplete (588 lookups: seed, seed + a–z, 12 question words, 10 prepositions).

Each row has the suggestion, the seed that produced it, an intent label (question, comparison, commercial, transactional, local, informational; a heuristic from the wording), a topic cluster, which engines suggested it and how often.

Quick facts [Verified, from the rows]: 115 suggestions are questions (e.g. "is superintelligence possible", "what is superintelligence") and 27 are comparisons (e.g. "superintelligence vs agi"). "superintelligence ban" and "ai ban news" show up on all three engines. A large cluster is the "artificial superintelligence alliance" crypto token, not the policy topic, so filter by cluster before drawing conclusions.

Autocomplete shows what people type, not search volume. No volumes are invented here. For direction over time, check Google Trends (see below).

Superintelligence News: product image 1 Superintelligence News: product image 2 Superintelligence News: product image 3

Use it

from datasets import load_dataset
df = load_dataset("CyberMax-tools/superintelligence-search-questions", split="train").to_pandas()
print(df[df.intent == "question"].sort_values("times_suggested", ascending=False)[["keyword", "engines"]].head(20))

Columns

column meaning
snapshot_date collection date (UTC)
seed the seed phrase that produced the suggestion
keyword the autocomplete suggestion (lower-cased)
intent heuristic intent from the wording
cluster first new word the suggestion adds to the seed
engines, engine_count which of google / youtube / bing suggested it
times_suggested, best_position how many lookups returned it; its best position in a suggestion list (1 = top)
found_via the first lookup that found it (seed, alphabet:x, question:how, preposition:vs …)

Get fresh data

Notes

Raw search suggestions: they can include people's names, brands and products because searchers type them. They are shown as collected, with no editing or endorsement. US English market. Neutral and factual; not affiliated with Google, Microsoft or YouTube. By CyberMax.

More free from CyberMax

Quickstart notebook

Load this dataset with pandas and see real outputs in the quickstart notebook. Need it refreshed for your own list? Keyfern — Long-Tail Keyword Ideas & Google Autocomplete Scraper.