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GoldieBench Blog · 6 min read

Rank In Google AI Overviews: Which AI Models Help With The SEO Work, With Real GoldieBench Scores

GoldieBench scores show which models build strong pages; Google decides what gets cited, so here is how to split the work between models and people.

Illustrated hero: gold benchmark score bars beside a search results page with a highlighted summary panel on a dark navy background

No AI model can make you rank in Google AI Overviews, but the right one can draft the pages, briefs and markup that the work depends on.

Google's AI features guide says AI Overviews need nothing beyond sound SEO, so the model's job is to speed up ordinary SEO tasks well.

This page matches those tasks to models using only scores published on live GoldieBench pages, each quoted with its source.

For the parts no model can do, book a free SEO strategy session with my team.

Where a model fits in AI Overview work

Google's generative AI optimization guide explains that AI Overviews retrieve pages from the Search index using its core ranking systems, then cite the pages that support the answer.

So the pages that win are indexed, snippet-eligible and genuinely useful.

A model helps with three jobs in that chain: drafting landing and service pages, writing content briefs from likely follow-up questions, and drafting structured data.

It can't supply your first-hand experience, which Google's guide says matters most over time.

What GoldieBench measures

The GoldieBench models page describes the method: the same fixed prompts, one shot each, scored 0–10 by Julian.

The leaderboard reports 50 tasks and 33 models across Games, Visuals, Sims and Pages.

Pages holds 3 tasks and is the nearest match to SEO work, because it scores whole marketing pages built in one go.

There's no GoldieBench task for briefs, schema or SEO audits, so those recommendations rest on general strength rather than a direct score.

Landing-page scores: the closest test for service pages

The Landing task page asks for a modern marketing landing page in a single HTML file, with no iteration.

It reports 26 models tested, 21 of 26 scored, an average of 8.11/10 and Fugu Ultra as the winner.

ModelLanding scoreSource page
Fugu Ultra9.0/10 (winner)goldiebench.com/tasks/landing
Fusion9.0/10goldiebench.com/tasks/landing
GLM-5.29.0/10goldiebench.com/tasks/landing
Grok9.0/10goldiebench.com/tasks/landing
GPT-5.6 Sol8.7/10goldiebench.com/tasks/landing
Gemini 3.6 Flash8.6/10goldiebench.com/tasks/landing
Claude Fable 57.2/10goldiebench.com/tasks/landing
Kimi K2.76.5/10goldiebench.com/tasks/landing

A high score here means a model builds a polished page fast.

It says nothing about whether the claims on that page are true, which is what Google's quality systems care about.

Consistency across two Pages tasks

One task can flatter a model, so compare it with a second page-class test.

The AIPB Promo task page scores an animated promo build: 26 models tested, 20 of 26 scored, an average of 7.48/10, with Qwen 3.8 as the winner.

ModelLandingAIPB Promo
GPT-5.6 Sol8.78.3
Gemini 3.6 Flash8.67.8
Fusion9.07.5
GLM-5.29.07.5
Grok9.07.0
Claude Fable 57.27.5
Kimi K2.76.57.0

GPT-5.6 Sol stays above 8 on both tasks, which is the steadiest page-building record in this table.

The overall leaderboard as a tiebreaker

On the GoldieBench leaderboard, ranked by average score across all tasks:

  • Fusion is #1 at 8.59, best at Games.
  • Claude Opus 5 is #2 at 8.27, best at Sims.
  • GPT-5.6 Sol is #4 at 8.16, and is the top-ranked model whose best category is Pages.
  • GLM-5.2 is #11 at 7.77, also best at Pages.
  • Gemini 3.6 Flash is #18 at 7.08, also best at Pages.

Broad strength matters for briefs and schema, where no direct score exists, so a high overall average is a reasonable tiebreaker there.

Which model for which AI Overview task

TaskSuggested startWhy
Service and landing pagesGPT-5.6 Sol, or a 9.0 Landing scorer such as GLM-5.2 or GrokHighest live Pages scores; edit every claim by hand
Content briefs from follow-up questionsA high overall scorer such as Fusion or Claude Opus 5No direct task; broad strength helps with reasoning about questions
Structured data draftsAny capable modelNo direct task; the human check against the visible page is what counts
Eligibility and robots auditsThe model inside your agent setupFetching pages reliably matters more than the model

For schema, remind the model that Google says there's no special markup for AI Overviews, and that markup must match the visible page, as Google's Organization structured data guide expects.

What no model fixes

A model can't index your page, lift a nosnippet tag or open a CDN rule.

Under Google's robots meta tag rules, a nosnippet tag keeps a page's text out of AI Overview inputs and a max-snippet value caps how much is used, so check both before any drafting starts.

It's a two-minute check in URL Inspection, and it decides whether every draft after it can count at all.

Run it on templates too, because one theme setting can apply to hundreds of pages.

A model also can't create first-hand experience; Google's guide warns against content that simply restates what others have said or could easily be produced by a generative model.

And no model, tool or agency can guarantee placement; Google's hiring guidance says no one can guarantee a #1 ranking.

Example: a physiotherapy clinic using two models

  1. Confirm the "sports injury rehab" page is indexed and free of nosnippet in URL Inspection.
  2. Ask a high overall scorer for the follow-up questions patients ask: recovery stages, number of sessions, when to return to sport.
  3. Have the physio answer each question from real treatment experience.
  4. Ask GPT-5.6 Sol to lay that content out as a clean service page.
  5. Draft LocalBusiness markup with any model and check each value against the page.
  6. Track AI impressions in Search Console's generative AI performance reports.

Health content needs to be accurate and clearly authored, so a qualified person signs off before publishing.

The human and agency part

The models handle drafts; people handle facts, authority and judgement.

Earning links and mentions the right way, picking which queries are worth chasing and reading the reports accurately are where an experienced team earns its place.

Goldie Agency does that work. Julian publishes his own results, among them first place in an AI Overview for "best GEO expert" and a record of more than 1,000 SEO and link building campaigns.

For ChatGPT's side of AI search, read our post on ranking in ChatGPT.

Prefer to learn first? The AI Profit Boardroom covers the full workflow, or book a free SEO strategy session today.

Also On Our Network

Use the best page-building models for drafts, keep people on facts and links, and book a free strategy session when you want help to rank in Google AI Overviews.

FAQ

Which model has the steadiest page-building scores on GoldieBench?

GPT-5.6 Sol scores 8.7 on the Landing task and 8.3 on the AIPB Promo task, and ranks #4 overall at 8.16 with Pages as its best category.

Does a better model mean a better chance of appearing in AI Overviews?

Not directly. Google picks pages through its normal ranking and quality systems, so accuracy, first-hand experience and eligibility matter more than which model drafted the page.

Is there a GoldieBench score for schema or SEO briefs?

No. GoldieBench covers games, visuals, simulations and pages, so schema and brief choices rest on overall strength plus a human check.

How does GoldieBench score models?

According to its models page, every model gets the same fixed prompt, one shot each, and Julian scores the result from 0 to 10.

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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