openai at a glance
Latest daily volume: 22,439 (as of 2026-11-12) · Locale: EN-US
- vs ~7 days earlier: 2.5%
- vs ~30 days earlier: -16.7%
- vs ~1 year earlier: -37.5%
Topic groups: AI
- In the 12 months to Nov 12, 2026,
openaiaveraged 38,029 Google searches a day in the United States. - The busiest day was Dec 17, 2025, with 238,155 searches, 6.3× the daily average.
- The 30 days to Nov 12, 2026 had 658,170 searches, down 28% from the 30 days before (914,864).
- Wednesday is the strongest day of the week, averaging 40,980 searches, 8% above the average day.
- The 45-day forecast expects about 36,007 searches a day, 64% above the last 30 days' average.
Every figure is calculated from this keyword's daily Google search volume series. API access is available for subscribers. Check another keyword with the free keyword search volume checker.
Overview
In the United States, searches for openai remain massive, with a daily count around 22,439 and a monthly average near 1,161,226, current as of 2026-11-12. This reflects enduring brand awareness, product launches, and enterprise adoption driving consistent interest across AI assistants, APIs, and developer tooling, education, research, and consumer productivity use cases.
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Why Is openai So Popular?
openai refers to the artificial intelligence research and product company behind ChatGPT and the GPT family of models, as well as APIs for text, vision, speech, and tooling. People search for the brand, the chatbot, API docs, pricing, login, updates, and examples. Intent skews navigational/informational, with strong commercial and transactional sub-intents (subscriptions, API usage). Popularity stems from ubiquitous use-cases (productivity, coding, search augmentation), constant feature launches, broad developer adoption, and sustained media attention.
Search Volume Trends
The daily chart typically displays a high baseline punctuated by event-driven spikes around major model releases, product updates, and safety or policy news. Short, sharp peaks are often followed by elevated baselines rather than full reversion. Weekday/weekend oscillations are common, with softer weekends. The latest daily reading aligns closely with the rolling monthly average, indicating stable interest after recent announcements and continued mainstream usage across consumer and enterprise contexts.
How to Use This Data
Daily search volume provides precise, time-sensitive demand signals that help teams plan, prioritize, and time their work to meet attention when it’s highest.
For Marketing Agencies and Content Creators
- Time launches, posts, and PR to rising daily trendlines and pre-event ramps.
- Allocate budget and bids dynamically on spike days to capture incremental demand.
- Fill editorial calendars from recurring weekly patterns; ship deep dives during sustained elevated periods.
- Use anomaly days to ideate reactive content tied to announcements or news.
For DTC Brands
- Forecast site traffic and support load from baseline levels and expected surges.
- Align inventory, promos, and landing pages to peaks for maximum conversion lift.
- Coordinate affiliates/partners to concentrate effort during high-intent windows.
- Stress-test site reliability ahead of predictable spikes.
For Stock Traders
- Treat daily search interest as a real-time attention proxy to complement price/volume.
- Flag anomalies for potential catalyst discovery (product updates, policy news, competitor moves).
- Build simple rules: rising multi-day momentum plus positive headlines for watchlists.
- Manage risk by fading decaying attention cycles and avoiding liquidity traps post-spike.
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