Gemini
Gemini is Google's AI assistant and large language model available to consumers and developers for chat and task automation.
About this data
Updated August 3, 2026
Overall Pulse Score
-11 over this period
A 0-100 index summarizing the tone of 3,374 relevant public mentions gathered from public online communities across 25 weeks in the selected period. It measures online sentiment, not a rating of the product's quality.
Weekly Sentiment Trend
Pulse Score by week over the selected period. Each point is one complete week of mentions.
This week in public discussion
Community discussion around Gemini over the recent period was notably mixed, with ai_quality appearing as both the top praise and top complaint theme across 601 mentions. Commenters praised instances of accurate idiomatic translation and convenient feature additions, with several mentions highlighting favorable competitor comparisons. However, a larger share of critical posts focused on ai quality concerns, hallucinations, and bugs, with some commenters expressing frustration over missing features and one widely shared joke poking fun at perpetual release rumors.
Read the deeper analysisAI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.
In the news
Recent coverage from reputable tech publications, updated daily. Headlines and links only, shown for context and separate from the sentiment score.

Google's new Gemini Robotics 2 platform allows for 'intelligent whole-body control'
The company made a video of the bots in action doing stuff like cleaning trash and picking up watering cans.
Read at source
Google will let Mac users talk to Gemini simply by pressing the 'fn' key
Users only have to long-press the 'fn' key on the bottom left corner of their keyboard to talk to Gemini on Mac.
Read at source
Google's Gemini 3.6 Flash model cuts AI agent token costs by up to 65% on long horizon engineering tasks —and 3.5 Pro is on the way
Google DeepMind today released three new proprietary AI models it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. The models aim to ma...
Read at sourceSentiment mix by week
How the tone of public discussion splits each week.
Ringed points mark weeks with unusually high discussion volume, more than double this product's typical week.
Most-discussed praise
Most-discussed complaints
Themes across the selected period, with mention counts.
How Gemini compares
Pulse Score over the selected period versus the top tracked competitors in AI Chat.
Where the mentions come from
Share of the 3,374 relevant public mentions in the selected period, by source.
Sample public mentions
Showing 5 of 3,374 analyzed public mentions in this period, with links to the original source. We do not reproduce full threads.
“Gemini Embedding 2 can project raw video directly into a 768-dimensional vector space alongside text. No transcription, no frame captioning, no intermediate text. A query like "green car cutting me off" is directly comparable to a 30-second video clip at the vector level.I used t...”
“I’ve been working on this for about a year through four major rewrites. Godogen is a pipeline that takes a text prompt, designs the architecture, generates 2D/3D assets, writes the GDScript, and tests it visually. The output is a complete, playable Godot 4 project.Getting LLMs to...”
“Hey HN! I'm Zach from Adam (https://adam.new/). We're building AI agents for mechanical CAD software. We’ve built the company on two fundamental beliefs:- AI will be the primary medium for creating mechanical designs just like it is in software today.- The best paradigm for CAD g...”
“I built Signet in Go to see if an autonomous system could handle the wildfire monitoring loop that people currently run by hand - checking satellite feeds, pulling up weather, looking at terrain and fuels, deciding whether a detection is actually a fire worth tracking.All the dat...”
“Re: "ChatGPT Plus vs Claude Pro vs Gemini Pro: The Best $20 AI Plan". I had $10 a month Google Drive plan, the 2 Tb got crowded. The $20 plan included 5 Tb... and AI Pro. So for me, the AI is basically free. And now I am on Gemini all the freaking time! I have never come close to...”
4,311+ more analyzed mentions, full history, and theme breakdowns are part of Pro.
Get ProDeeper analysis
- AI output quality was the single most contested theme, drawing heavy praise and the heaviest criticism at the same time.
- Sentiment peaked briefly in mid-June then fell and has since held flat, suggesting no sustained shift in how the product is perceived.
- Competitor comparisons dominated both positive and negative threads, placing Gemini in a conversation where it is constantly measured against rivals.
- A strand of ironic or reluctant usage appeared in discussion, with commenters framing their own reliance on the tool as slightly embarrassing rather than enthusiastic.
| Praise theme | Mentions |
|---|---|
| AI quality | 793 |
| Strong features | 640 |
| Compared to rivals | 361 |
| Easy to use | 150 |
| Good integrations | 147 |
| Complaint theme | Mentions |
|---|---|
| AI quality | 693 |
| Compared to rivals | 455 |
| Bugs | 292 |
| Missing features | 218 |
| Reliability | 166 |
Discussion of Gemini over the past four weeks settled into a pattern of stubborn ambivalence, with the pulse score barely moving and sentiment oscillating in a narrow band after a brief spike in mid-June. That spike appeared to coincide with a surge of more positive framing, possibly tied to a specific release or announcement, but it was short-lived, and the weeks that followed saw sentiment drift back down and stabilize near baseline. Commenters did not swing to outright hostility but showed little enthusiasm either, a mood that feels consistent with a product that generates debate rather than devotion.
AI quality dominated both sides of the conversation simultaneously, which was the most telling pattern in the data. Nearly as many commenters praised the underlying model as criticized it, suggesting opinion was sharply divided rather than uniformly settled. Several mentions highlighted moments where Gemini outperformed named competitors on specific tasks like idiomatic translation, while others described the output as frustrating or unreliable. The hallucination complaint thread drew particular attention in sample discussion, including references to unusual model behavior in reasoning traces, and that framing carried an unsettled, almost wary tone.
Competitor comparisons formed the second largest complaint theme and a sizable praise theme, meaning the product lives heavily in the shadow of its rivals in public conversation. Commenters appeared to reach for benchmarks against other tools almost reflexively, and the framing was rarely neutral. The missing features thread showed frustration with functionality gaps that users felt should already exist, and bug complaints added to a sense that the product has not yet earned consistent trust.
A lighter undercurrent ran through some mentions, with commenters acknowledging reluctant or ironic usage, typified by the sentiment that hating AI while quietly relying on it for practical tasks has become a recognizable social posture. This self-aware ambivalence colored a portion of the discussion and may partly explain why the overall score resists moving in either direction.
AI-generated summary of public online discussion during this period. It reflects the tone of that discussion, not facts about the product or our views.
Member perspectives
Individual opinions from Pro members, posted over time. These are personal member views, not aggregated sentiment data.
Overall Pulse Score
-11 over this period
A 0-100 index summarizing the tone of 3,374 relevant public mentions gathered from public online communities across 25 weeks in the selected period. It measures online sentiment, not a rating of the product's quality.
Data summary
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