Nov 5 edition/Reporting & analysis
AgentsBusinessCoding

AgentsAutonomy & tool use

Reddit post ranks Genspark ahead of Manus, Suna and DeepAgent on an SEO website-building task

A Reddit post ranks Genspark ahead of Manus, Suna and Abacus.AI's DeepAgent on building an SEO-agency website. Its test closely mirrors 2025 creator comparisons, where results hinged on deployment, credit caps and concurrency limits rather than reasoning.

From the r/AISEOInsider (via last30days) article of November 4, 2026 and cited sources: The November 2026 post says Genspark researched a business, built and deployed an SEO-agency site within minutes, and ran a second task in parallel while the other agents struggled. [1] [2] [3]

SOURCES[1] I tested 4 AI super agents on the same SEO website task reddit.com[2] CO/AI: DeepAgent vs Manus vs Genspark getcoai.com[3] Gist: Suna vs Genspark vs Manus showdown gist.ly

AI-assisted, not human-edited. Methodology Corrections Who owns this site

KEY FACTS
What happened
The November 2026 post says Genspark researched a business, built and deployed an SEO-agency site within minutes, and ran a second task in parallel while the other agents struggled. [1] [2] [3]
Original source
r/AISEOInsider (via last30days) article, independent perspective
Brief by
AT Pulse research desk AI-assisted; publisher and contact on the desk page
Studies
arXiv 2311.12983 (Nov 2023) [10] date from arXiv ID
When
November 4, 2026 article published
Evidence
10 sources across 10 sites

Reach: not measured yet

THE CORE IDEAS3 TAKEAWAYS
01

The November 2026 post says Genspark researched a business, built and deployed an SEO-agency site within minutes, and ran a second task in parallel while the other agents struggled. That matches April–May 2025 YouTube comparisons that used the same Julian Goldie-style SEO-agency prompt and also put Genspark first. The post may therefore repeat an older test rather than report a new one. [1] [2] [3]

02

In the 2025 tests, product limits decided the outcomes more than output quality did. DeepAgent ran out of compute points before finishing the website. At the time it was capped at two tasks a day with no parallel runs. Suna failed to deploy and took 8–10 minutes per task, while Manus produced a working but generic site with stock images. [2] [3]

03

The products have changed since those tests. Meta acquired Manus in a deal reported at over $2B and is integrating it into Meta AI. Genspark raised a $275M Series B at a $1.25B valuation and launched an AI Workspace. DeepAgent reportedly added a high-effort mode built on newer frontier models. [5] [6] [7] [9]

WHY IT MATTERS

The evidence comes from single-run, single-judge demos in which hosting, quotas and parallel-task limits decided the rankings. Teams choosing agents should check pricing limits first, then run repeated, timed trials on their own tasks.

Executive brief

A Reddit post from 4 November 2026 says Genspark beat Manus, Suna and Abacus.AI's DeepAgent at researching a business and building an SEO‑agency website. Its test closely matches YouTube comparisons from April–May 2025, which used the same SEO‑agency prompt about Julian Goldie and reached the same verdict (CO/AI summary, Gist summary). That makes it likely, though not certain, that the post repeats an 18‑month‑old test rather than reporting a new one. The post gives no timings, versions or method. No independent evaluation confirms the result, and the market has changed a lot since then.

What changed and event timeline

  1. Genspark launches Super Agent

    Genspark presented it as several LLMs and tools working together and claimed a GAIA score of 87.8%. VentureBeat reported this as the company's claim, not a verified result ().

  2. Goldie test of DeepAgent, Manus and Genspark

    On the website task, Genspark ranked first. Manus produced a generic site with stock images, and DeepAgent ran out of compute points before finishing ().

  3. Suna joins the comparison

    In a test of Suna, Genspark and Manus, Suna reportedly failed to deploy websites and took 8–10 minutes per task. Genspark deployed almost instantly ().

  4. Genspark raises $275M

    The Series B valued Genspark at $1.25B post‑money. The company launched an "AI Workspace" and said it passed $50M in annualized revenue (,).

  5. Meta acquires Manus

    The deal was reported at more than $2B. Manus will keep operating as a standalone service while being integrated into Meta AI ().

  6. Reddit post repeats the verdict

    The post says Genspark finished and deployed within minutes and handled a second task in parallel, while other agents struggled ().

Capabilities and access

  • Genspark Super Agent: described as nine LLMs, more than 80 tools and over 10 proprietary datasets.
  • Suna (Kortix): open source under Apache 2.0, can be self‑hosted, and works with the user's own LLM, such as OpenAI or Anthropic models (jimmysong.io).
  • DeepAgent: runs inside Abacus ChatLLM. A secondary source reports a November 2025 "high effort" version using Opus 4.5, Gemini 3 and GPT‑5.1 (report).
Read the full section
  • Genspark Super Agent: described as nine LLMs, more than 80 tools and over 10 proprietary datasets. Which models it uses for a given task is not disclosed (VentureBeat).
  • Suna (Kortix): open source under Apache 2.0, can be self‑hosted, and works with the user's own LLM, such as OpenAI or Anthropic models (jimmysong.io).
  • DeepAgent: runs inside Abacus ChatLLM. In April 2025 it was limited to 2 tasks per day, could not run tasks at the same time, and cost $10/month, versus $49 for Manus's entry tier (CO/AI). A secondary source reports a November 2025 "high effort" version using Opus 4.5, Gemini 3 and GPT‑5.1 (report).

Technical analysis for researchers and developers

  • Method: each test ran one prompt, one time, judged by one person. There were no repeated runs, rubric, logs or version pins.
  • What was really measured: deployment hosting, credit budgets and limits on parallel tasks drove the outcomes.
  • Suna's architecture: FastAPI backend, Next.js frontend, Docker sandbox for each agent and Supabase for state (jimmysong.io).
Read the full section
  • Method: each test ran one prompt, one time, judged by one person. There were no repeated runs, rubric, logs or version pins. Results depend on whichever model routing and quotas each product had that day.
  • What was really measured: deployment hosting, credit budgets and limits on parallel tasks drove the outcomes. DeepAgent ran out of compute points, and Suna failed at deployment. These are product and infrastructure factors, not tests of how well the agents reason.
  • Suna's architecture: FastAPI backend, Next.js frontend, Docker sandbox for each agent and Supabase for state (jimmysong.io). Because it is self‑hosted, its speed depends on the user's own infrastructure and chosen LLM.

Claims and evidence

  • "Genspark deployed within minutes": the Reddit post gives no timings. The 2025 summaries describe deployment as "almost instant" but give no measured figure (Gist).
  • Parallel tasks: this matches DeepAgent's documented no‑concurrency limit in April 2025 (CO/AI). The May 2025 Suna test did not check concurrency at all (Gist).
  • GAIA 87.8% vs. Manus: this number comes from Genspark itself (VentureBeat).
Read the full section
  • "Genspark deployed within minutes": the Reddit post gives no timings. The 2025 summaries describe deployment as "almost instant" but give no measured figure (Gist).
  • Parallel tasks: this matches DeepAgent's documented no‑concurrency limit in April 2025 (CO/AI). The May 2025 Suna test did not check concurrency at all (Gist).
  • GAIA 87.8% vs. Manus: this number comes from Genspark itself (VentureBeat).
  • Independent confirmation: none found for the website comparison.

Context and prior work

  • GAIA is the benchmark these companies cite. It has 466 questions; humans score 92% and GPT‑4 with plugins scored 15% (Mialon et al.). It tests question answering, not building or deploying websites.
  • Origin of the prompt: the "SEO agency website" task comes from creators in Julian Goldie's circle. The subreddit name, r/AISEOInsider, fits that same SEO community. The link is an inference, not established.

Limitations, safety and contested findings

  • Results differed across tests. DeepAgent built a working game but did not finish the website (CO/AI).
  • The headline contradicted its own result. The DeepAgent video was titled as though DeepAgent "destroys" its rivals, yet it ranked last (CO/AI).
  • Ownership has changed. Manus is now owned by Meta and has exited China (Business Today). Its 2025 behavior may not reflect the product today.
Read the full section
  • Results differed across tests. Manus was "functional but generic" in one test and more reliable than Suna in another (Gist). DeepAgent built a working game but did not finish the website (CO/AI).
  • The headline contradicted its own result. The DeepAgent video was titled as though DeepAgent "destroys" its rivals, yet it ranked last (CO/AI).
  • Ownership has changed. Manus is now owned by Meta and has exited China (Business Today). Its 2025 behavior may not reflect the product today.

Business and practitioner implications

  • Look at limits first: credit caps, daily task quotas and concurrency mattered more than output quality in these tests.
  • Run your own trials: creator demos and Reddit anecdotes are not procurement evidence.
  • Plan for consolidation: Meta now owns Manus, and Genspark has more funding (Business Wire). Expect pricing and roadmaps to keep changing.
Read the full section
  • Look at limits first: credit caps, daily task quotas and concurrency mattered more than output quality in these tests. Read pricing pages before running a pilot.
  • Run your own trials: creator demos and Reddit anecdotes are not procurement evidence. Do repeated, timed runs on your own tasks, pin versions and score against a rubric.
  • Plan for consolidation: Meta now owns Manus, and Genspark has more funding (Business Wire). Expect pricing and roadmaps to keep changing.
  • Data control: teams that need to control their data can self‑host Suna, but should expect more deployment engineering.
FOLLOW THE EVIDENCE

The source trail.

Sources (10)
A LITTLE LESS NOISE. A LOT MORE CONTEXT.

Stay curious.
Follow the evidence.

Independent perspectives, the original sources, and room for the questions that don't have easy answers.

How we build the brief
Connect with us

Find us where you already read.