GoldieBench Blog · 6 min read
Hire SEO Agency Or Use AI Models? Which Models Draft SEO Pages Best, With Real GoldieBench Scores
Live GoldieBench scores for the page-drafting jobs behind an SEO hire, and the strategy, links and judgement no benchmark measures.

If you're deciding whether to hire SEO agency help or let AI models draft the work, the straight answer is both: models handle page drafts well, people handle strategy and links.
This page lines up the SEO jobs behind that decision with scores read directly from live GoldieBench pages on 11 November 2026, each quoted with its page.
For the people part, book a free SEO strategy session with Julian Goldie's team.
What GoldieBench scores, in plain terms
The GoldieBench leaderboard lists 50 tasks and 33 models, and ranks them by Julian's 0–10 scores averaged across every task each model ran.
Tasks fall into four groups: Games, Visuals, Sims and Pages.
Pages holds 3 tasks, and it's the only group close to SEO work, because it asks for whole web pages in one shot.
Nothing on the bench tests schema, keyword research, outreach or Search Console analysis, so treat these scores as a page-building signal only.
How to read a GoldieBench score
Every model gets the same prompt inside the Agent Operating System, one shot, with no examples and no second attempt.
Julian then scores the result from 0 to 10 and writes what he saw, so each number comes with a short verdict on the task page.
That makes the scores good at one thing: telling you which models produce a strong first draft without hand-holding.
It also means a model that needs two or three attempts to get something right will look weaker here than it might in your own workflow.
For SEO pages, the first draft matters less than the editing pass, so use the scores to pick a starting model, not to skip the edit.
The SEO jobs a model could take before you hire
| Job | Model's role | Closest GoldieBench signal |
|---|---|---|
| Service and landing page drafts | Drafts layout and copy for a human to fact-check | Landing task |
| Promo or explainer pages | Builds animated pages and scenes | AIPB Promo task |
| Content briefs | Clusters customer questions | No task |
| Organization schema | Drafts JSON-LD from visible facts | No task |
| Agency shortlist research | Summarises agency sites, draft only | No task |
Landing task: the best page-drafting signal
The Landing task page asks every model for a modern marketing landing page, single HTML file, no iteration.
It reports 26 models tested, 21 of 26 scored, an average of 8.11/10, and Fugu Ultra as the winner.
| Model | Landing score | Page read |
|---|---|---|
| Fugu Ultra | 9.0/10 (winner) | goldiebench.com/tasks/landing |
| Fusion | 9.0/10 | goldiebench.com/tasks/landing |
| GLM-5.2 | 9.0/10 | goldiebench.com/tasks/landing |
| Grok | 9.0/10 | goldiebench.com/tasks/landing |
| GPT-5.6 Sol | 8.7/10 | goldiebench.com/tasks/landing |
| Gemini 3.6 Flash | 8.6/10 | goldiebench.com/tasks/landing |
| Claude Fable 5 | 7.2/10 | goldiebench.com/tasks/landing |
A 9.0 landing page still needs your real services, proof and contact details before it's worth publishing.
Google's guidance on helpful content cares about who wrote it and why, which no layout score captures.
AIPB Promo task: a second page-class test
The AIPB Promo task page asks for a cinematic motion-graphics promo page with animated stats and an end call to action.
It reports 26 models tested, 20 of 26 scored, an average of 7.48/10, and Qwen 3.8 as the winner.
On that same page GPT-5.6 Sol scored 8.3/10, Gemini 3.6 Flash 7.8/10, Claude Fable 5 7.5/10, Fusion 7.5/10 and Grok 7.0/10.
The lower average tells you motion-heavy pages are harder to one-shot than a plain landing page.
Overall leaderboard: who holds up on long jobs
Ranked by average across all tasks on the leaderboard:
| Rank | Model | Avg /10 | Best at |
|---|---|---|---|
| #1 | Fusion | 8.59 | Games |
| #2 | Claude Opus 5 | 8.27 | Sims |
| #4 | GPT-5.6 Sol | 8.16 | Pages |
| #11 | GLM-5.2 | 7.77 | Pages |
| #18 | Gemini 3.6 Flash | 7.08 | Pages |
GPT-5.6 Sol is the top-ranked model whose best category is Pages, which makes it a sensible first pick for SEO page drafts.
Matching models to the pre-hire jobs
- Landing and service pages: start with GPT-5.6 Sol (8.7/10 on Landing) or one of the 9.0 scorers, then fact-check every line.
- Promo pages: GPT-5.6 Sol scored highest of the models listed above on AIPB Promo at 8.3/10, behind winner Qwen 3.8.
- Briefs, schema and research: GoldieBench has no score, so any capable model works as long as a person checks the output.
What no benchmark covers
Google's hiring page lists the parts that stay human: interviewing, checking references, judging whether advice follows official guidance.
Its generative AI guide says optimising for AI search is still SEO, and you can skip llms.txt files for Google Search.
Link building has to stay inside Google's spam policies, with paid placements marked rel="sponsored".
And OpenAI states plainly that ChatGPT search placement is not guaranteed, per its help article.
No model score tells you which agency to trust.
Questions to ask an agency about its AI use
- Which models draft your pages, and who fact-checks them?
- How do you stop many near-identical pages being published at scale?
- Does your AEO or GEO advice match Google's official guidance?
- Will you show me a page before and after human editing?
Google's scaled content abuse policy covers mass-produced pages made to game rankings, however they're created, so the second question matters.
A good agency will answer all four without hesitation and show you the editing trail.
If the answers are vague, ask to see two pages they published last month and who signed them off.
Small business example: a landscaping firm
- The owner asks GPT-5.6 Sol to draft a landing page for patio installation.
- A team member swaps in real project photos, the service area and genuine customer quotes.
- The owner shortlists two agencies and asks them the four AI-use questions above.
- The firm books a strategy session to decide which pages, links and AI-search fixes come first.
Where the human team adds the most
- Choosing which pages to build first, based on what your buyers search for and ask AI assistants.
- Earning links through outreach and keeping any paid placements properly marked.
- Reading Search Console and Bing AI performance data and deciding what to change next.
- Checking facts on legal, health or money pages, where Google expects high accuracy.
When to bring in the human team
Bring people in once drafts are cheap but decisions aren't: which pages to build, how to earn links, what to fix first.
That's what the free strategy session is for: Book a free SEO strategy session and bring your drafts.
Prefer to learn it all yourself? The AI Profit Boardroom is where Julian teaches AI SEO step by step.
Also On Our Network
- Agent Operatorsthe eight-step vetting process with interview script, access rules and change logs
- AI Income Deskwhether a small business should hire outside SEO help, and what to ask first
- AI Tool Verdictfive ways to get SEO done, scored out of 10 with a final verdict
- agentos.guidefive copy-paste Agent OS prompts to prep before you sign an agency
Let models draft, keep people on strategy and links, and when you're ready to hire SEO agency support, book a free strategy session.
FAQ
Which model scored highest on the GoldieBench Landing task?
The Landing task page names Fugu Ultra the winner at 9.0/10, level on score with Fusion, GLM-5.2 and Grok.
Does GoldieBench test schema or keyword research?
No. Its Pages group has 3 tasks, all about building pages, so it says nothing direct about schema, research or outreach.
Can AI-written pages rank on Google?
Google judges content on helpfulness, not on how it was made, but mass-produced pages aimed at gaming rankings fall under its scaled content abuse policy.
Which model should a small business try first for page drafts?
GPT-5.6 Sol is the highest-ranked model on the leaderboard whose best category is Pages, scoring 8.7/10 on Landing.


