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GoldieBench Blog · 6 min read

AI Search Optimization Services + Which AI Models Help With The Page Work, Using Live GoldieBench Scores

GoldieBench scores page builds, not SEO judgement; here is where its numbers help and where people still carry the work.

Illustrated leaderboard of glowing gold bars beside a web page wireframe and a search magnifier on a dark navy background

AI search optimization services lean on AI models for three drafting jobs: content briefs, structured data and the service pages themselves.

GoldieBench can inform only one of those directly, the page build, so this guide uses its scores there and says plainly where the bench has nothing to add.

Every score below I read myself on live goldiebench.com pages on 11 November 2026, and each one names its page.

If you want the strategy before the model, book a free SEO strategy session or use the calendar: Book a free SEO strategy session.

What GoldieBench measures, and what it leaves out

The methodology page says every model gets the same fixed prompt, one shot, and must return a single self-contained HTML file.

Each result gets Julian's own score from 0 to 10.

That makes it a test of building things in one go: games, simulations and web pages.

It doesn't score keyword research, brief quality, schema accuracy or factual writing.

So treat the numbers as evidence about page-building skill, not about SEO judgement.

The leaderboard averages, read on 11 November

These are the averages shown on the GoldieBench models page.

ModelLeaderboard averageTasks scored
Fusion8.5947
Claude Opus 58.2750
Hermes MoA8.1747
GPT-5.6 Sol8.1650
Claude Fable 58.1047
Qwen 3.88.1045
Claude Opus 5.57.5750
Gemini 3.6 Flash7.0850

Ensembles sit at the top: Fusion blends models, and Hermes MoA merges a panel through a chair model.

Among single models, Claude Opus 5 and GPT-5.6 Sol lead this group.

The Landing Page task is the closest match to a service page

The Landing task page asks for a modern marketing landing page in one shot.

It shows 26 models tested, 21 scored, and an average of 8.11 out of 10.

ModelLanding Page score
Fugu Ultra9.0 (gold)
Fusion9.0 (gold)
GLM-5.29.0 (gold, tie)
Grok9.0 (gold)
GPT-5.6 Sol8.7
Gemini 3.6 Flash8.6
Claude Fable 57.2
Kimi K2.76.5

On the Claude Opus 5.5 model page, the Landing Page task reads 7.5 and the Webos Page task reads 8.7.

The judge's notes on the Landing page praise layout and polish, and in one case call the copy "filler AI-jargon".

That's the gap for SEO: a beautiful page with generic words is exactly the commodity content Google warns about.

Matching models to the three drafting jobs

This mapping is editorial; GoldieBench only scores the third job.

  • Content briefs. No bench score applies. Use a model you trust with long inputs, and feed it your own call notes so the brief carries first-hand detail.
  • Structured data. No bench score applies. Any capable model can draft Organization JSON-LD, but every value must match visible text, and a developer should validate it.
  • Service and landing pages. The Landing task applies. The four 9.0 scorers built the strongest one-shot layouts; check the copy line by line before publishing.

Google's guide to generative AI features says AI-assisted content is fine as long as it meets Search Essentials and the spam policies.

Why the copy matters more than the layout

Google's AI features documentation says there are no special optimizations needed for AI Overviews or AI Mode beyond core SEO.

Its AI guide adds that unique, non-commodity content will likely matter most in the long run.

Bing's Webmaster Guidelines ask for facts stated outright and one primary topic per URL.

A model scoring 9.0 on layout still needs your photos, your process and your customer questions to meet that bar.

The parts no model on the bench can do for you

  • Crawler access. OpenAI's crawler overview says pages opted out of OAI-SearchBot won't appear in ChatGPT search answers; that's a server setting, not a writing task.
  • Entity signals. Consistent names across profiles, plus claiming a business in ChatGPT Business Hub where eligible.
  • Links and mentions. Outreach earned by people, with paid placements qualified as Google's outbound link guide describes.
  • Measurement. Search Console's Generative AI performance report and Bing's AI Performance dashboard.

How to test a model on your own service page

Bench scores tell you who builds good pages from a generic prompt; your own test tells you who builds good pages for your business.

Pick one real service and write a short brief from your call notes.

Give the same brief to two models that score well on the Landing task, one shot each, just as the bench does.

Then judge the copy, not the design: does each page state your facts plainly, answer the questions customers ask, and avoid generic filler?

Check that any structured data the model adds matches the visible text, because Google requires that.

Keep the better page, edit it by hand, and log which model wrote it so you can compare next time.

The AI Profit Boardroom has the Agent OS setup for running that side-by-side test.

Two small-business examples

A yoga studio

  1. Write the brief from real class notes and student questions.
  2. Have a top Landing scorer build the class page in one shot.
  3. Replace generic lines with the studio's own schedule, teachers and photos.
  4. Check the Generative AI report each month for the class page.

A SaaS company

  1. Confirm OAI-SearchBot, PerplexityBot and Claude-SearchBot can reach the docs and pricing pages.
  2. Use a model to draft comparison page layouts, then fill them with real customer findings.
  3. Draft Organization markup with sameAs links to the company's real profiles.
  4. Track Copilot citations in Bing's AI Performance report next to demo requests.

What no model or agency can promise

Google's hiring guidance says no one can guarantee a #1 ranking on Google.

OpenAI's search help article says ChatGPT placement is not guaranteed.

A higher bench score buys you a better first draft, nothing more.

The human and agency part

Pick a top Landing scorer for page builds, and keep strategy, access, entities, links and reporting with people.

Goldie Agency covers SEO, GEO, AEO and link building, and describes its links as "Manual outreach, no PBNs".

By Julian's own published numbers, the team has worked on 1,000+ campaigns for 240+ clients with a 100% Job Success Score on Upwork, and Julian has 425K+ YouTube subscribers.

Want to run the models yourself instead? Learn AI SEO yourself inside the AI Profit Boardroom.

🎁 Free resources to pair with your model Feed your chosen model the 200+ AI SEO Prompts, and read the free link building book for the part no model does for you.

Also On Our Network

Use the Landing scores to pick your page-build model, keep the strategy human, and book a free SEO strategy session for help with AI search optimization services.

FAQ

Which models scored highest on the GoldieBench Landing Page task?

Fugu Ultra, Fusion, GLM-5.2 and Grok each scored 9.0 on goldiebench.com/tasks/landing when read on 11 November 2026.

Does GoldieBench score SEO writing or schema?

No. It scores one-shot builds returned as a single HTML file. Use it for page-build choices, not for SEO judgement.

Is AI-written content allowed for SEO?

Google says AI-assisted content is fine when it meets Search Essentials and its spam policies. Pages made mainly to manipulate rankings are not.

Will a top-scoring model get my business cited in ChatGPT?

No model can promise that. OpenAI says placement in ChatGPT search is not guaranteed, and crawler access is a server setting, not a writing task.

The same stack Julian uses

Run this stack yourself.

Every demo on this bench was built inside the Agent Operating System — one prompt, one shot, single HTML file out. The Agent OS, the prompts, the templates, the weekly walkthroughs and 3,400+ founders shipping with it every day all live inside the AI Profit Boardroom.

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