The AEO work, without the AEO hire.

Most AI visibility tools show you where you rank, then leave the work to you.

ChatFeatured is an AI search agent that does it: finds the questions competitors win, drafts the content in your voice, and tracks the lift. 

Your team decides what ships. Month to month.

Bar chart of the longest single answer: Claude Opus 5.5 and GPT-6 Astra at 128K tokens, Gemini 4 Argon at about 1 million, above the headline 8x longer answers. No clear #1.
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Google just opened its most powerful AI to paying developers and Google AI Pro and Ultra subscribers.

Gemini 4 Argon went on general release on Oct. 13, two weeks after Google first gave it to a vetted group of security professionals. Its headline trick: through its developer API, it can write up to about 1 million tokens in a single answer. That's roughly 750,000 words, and about 8 times the 128,000-token limit on Claude Opus 5.5 and OpenAI's GPT-6 Astra.

Most people will never need an answer that long. Developers will: it means one run can produce a whole software project, a full contract comparison, or a transformed dataset without being chopped into pieces.

What else is new.

  • Adjustable thinking. You can set it to think a little, a medium amount, or a lot. More thinking is slower but better on hard problems.

  • It can use a computer. Clicking through screens and websites is supported, though Google still labels it a preview.

  • It reads almost anything. Text, images, video, audio and PDFs go in; text comes out.

  • Robots. Google says Argon scored 87% on a test of physical-world reasoning, ahead of every other frontier model. In one demo, it watched a video of cornhole, wrote a simulation of the game, and a humanoid robot built by Apptronik then sank seven shots in a row.

How it stacks up. Every company publishes tests it wins, so start with the independent scorekeepers, who don't agree. Argon is first on the Vals Index, which tests finance, legal, tax and coding work, and on LMArena's text leaderboard, where people vote on answers without knowing which AI wrote them (its spot there is still preliminary). Artificial Analysis, which combines a set of hard tests into one score, puts Claude first, and also shows what each model costs to run:

  • Claude Opus 5.5 (Anthropic): 58, first place at its maximum setting, which is also the priciest: about $5.98 per test task. At its "high" setting it scores 54 for about $1.82. List price $4 per million tokens in, $20 out.

  • Gemini 4 Argon (Google): 53. About $1.99 per task at the introductory price of $2 in, $10 out. On Dec. 1 that rises to $4 and $20, the same as Opus.

  • GPT-6 Astra (OpenAI): 53. About $3.26 per task. The priciest of the four per token, at $10 in and $50 out.

  • GPT-6.1 Sol (OpenAI): 52. The bargain: about 72 cents per task, at $2 in and $10 out.

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Google's own chart tells a sharper story in its favor. On a test of tracing connections through extremely long inputs, up to 1 million tokens, Argon scored 84.2%, against 71.8% for Astra and 66.8% for Opus. On a legal-work test from the legal AI company Harvey, it scored 19.6%, against 5.4% and 3.8%. But on Terminal-Bench, a coding test on that same chart, Opus beat it, 66.4% to 57.4%, and Argon finished last of the four models Google charted.

Where you can use them. Argon is in the Gemini app for Google AI Pro and Ultra subscribers. Opus 5.5 is on paid Claude plans. GPT-6 Astra is in ChatGPT Work and Codex for Plus subscribers and up, but in regular chats only on Pro, Business and Enterprise plans. GPT-6.1 Sol is in ChatGPT Work and Codex, but not yet in regular chats.

What it means for you.

  • There is no single best model anymore. Argon for very long documents, video and huge outputs. Opus for the hardest reasoning and coding. Sol when cost matters most.

  • Check the date on any price. Argon's cheap rate ends Nov. 30. Compare it at the Dec. 1 price, not today's.

  • Test on your own work. Benchmarks are a shortlist, not a verdict. Give your three most common tasks to each model before you switch or pay for anything.

On the site: a side-by-side table of all four models, the source behind every number, and a copy-paste prompt that helps you choose a model for your own work.

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— Jerry
AI Super Simplified