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GoldieBench Blog · 6 min read

Link Building Agency Work + Which AI Models Build Linkable Assets, With Real GoldieBench Scores

Live GoldieBench scores for the models that build linkable pages, and the outreach work no model should do alone.

Illustrated benchmark leaderboard with gold bars beside a glowing web page that has link chains reaching out to other sites

A link building agency today uses AI models to build the assets that earn links: data pages, interactive tools and landing pages good enough for an editor to cite.

GoldieBench does not test outreach, but its Pages, Visuals and Sims tasks show which models ship a working asset in one shot.

Every score below was read on live goldiebench.com pages on 11 November 2026.

If you want people on the outreach side, book a free strategy session with Julian's team.

What GoldieBench Measures, And What It Skips

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

Scores are Julian's own 0 to 10 numbers, and the ranking is the average across all tasks a model was scored on.

Nothing on the bench scores pitch writing, prospect research or how editors respond.

The leaderboard also says models without scored verdicts stay unranked, so a missing model is not a weak one.

Every demo was built inside Julian's Agent OS, which makes the bench a slice of real daily work rather than a lab exam.

Read it as a guide to which model builds a linkable page cleanly, not as a link building score.

Why Linkable Assets Are Where Models Help Most

Editors link to things their readers find useful: a calculator, a chart of original data, a clear guide.

Google's spam policies also warn against low-value content made mainly to attract links, so the asset has to stand on its own.

A model that ships a polished, working page in one go saves days of build time on that asset.

The Leaderboard Averages

These overall averages came from the GoldieBench leaderboard.

ModelOverall avg /10"Best at" tag
Claude Opus 58.27Sims
GPT-5.6 Sol8.16Pages
Claude Fable 58.10Games
GLM-5.27.77Pages
Gemini 3.6 Flash7.08Pages
Claude Sonnet 57.01Pages
MiMo-V2.6 Pro6.35Pages

Fusion leads the board at 8.59, but it is a multi-model panel, so we kept it out of this single-model comparison.

Landing Page Scores, Model By Model

Each model page lists its per-task scores; these are the Landing Page, Webos Page and Aipbpromo Page results.

ModelLanding PageWebos PageAipbpromo Page
GLM-5.29.07.57.5
GPT-5.6 Sol8.78.48.3
Gemini 3.6 Flash8.68.07.8
Claude Opus 58.48.78.3
MiMo-V2.6 Pro8.18.77.8
Claude Fable 57.28.07.5
Claude Sonnet 56.58.07.5

GLM-5.2 posts the top Landing Page score here at 9.0, on its model page.

GPT-5.6 Sol is the most even across all three page tasks, never dropping below 8.3.

MiMo-V2.6 Pro ties Claude Opus 5 on Webos Page at 8.7, despite a much lower overall average.

Which Model For Which Link Building Task

  • Resource or guide page: GPT-5.6 Sol, for its steady 8.3 to 8.7 run across page tasks.
  • Single hero landing page for a study: GLM-5.2 or GPT-5.6 Sol, the two highest Landing Page scores above.
  • Interactive tool or simulation: Claude Opus 5, tagged best at Sims with the second-highest overall average.
  • A second landing page draft to compare: Gemini 3.6 Flash, which reached 8.6 on Landing Page.

The AI Profit Boardroom trainings show how to run that side-by-side test in your Agent OS.

Pitch emails and prospect lists are not on the bench, so pick for those on your own reading of the drafts.

How To Brief A Model For A Linkable Asset

  1. Name the audience: the editors and readers you will pitch, not search engines.
  2. Supply the real data or expertise yourself; the model shapes it, it does not invent it.
  3. Ask for one self-contained HTML page, the same format the bench scores.
  4. Ask for plain, descriptive headings so the page is easy to cite.
  5. Run the same brief through two models from the tables and keep the better build.

Check every number on the finished page against your source before a single pitch goes out.

Editors who find one wrong figure rarely link to the page, however polished it looks.

What No Model Should Do Alone

Do not let a model send outreach or mass-publish pages to attract links.

Google lists automated link creation as link spam, and its outbound link guidance expects paid placements to carry a sponsored or nofollow value.

Bing's webmaster guidelines name link buying and private networks as schemes too.

A person checks facts, approves each pitch and confirms every link tag.

Treat the model as a fast builder and first drafter, and keep the decisions about who to contact with your team.

A Small-Business Example, Step By Step

  1. A garden centre picks GPT-5.6 Sol to build a planting calendar page for its region.
  2. Staff check every date and plant name against their own growing records.
  3. They pitch the page to two local gardening clubs and a regional lifestyle blog.
  4. Any paid listing in a spring guide gets a sponsored tag.
  5. They track which links bring visits to the calendar page.

What The Scores Mean For Your Asset

A one-shot score tells you how close a model gets on the first attempt.

For a linkable asset, that matters because every extra round of fixes costs time before outreach can begin.

A high Landing Page score suggests a clean hero, clear sections and working layout straight away.

A high Webos Page score points to strong interactive interface work, which suits tools such as calculators or planners.

A gap between the two, like Claude Sonnet 5's 6.5 on Landing Page against 8.0 on Webos Page, is a hint to match the model to the asset type.

None of these scores says anything about whether an editor will link, so the content itself still has to earn it.

The Human And Agency Part

The asset is only half the job; the other half is relationships with editors.

Goldie Agency is Julian Goldie's SEO, GEO, AEO and link building agency, built on manual outreach, no PBNs.

Julian runs the bench and the agency, and he shares his SEO tests with 425K+ YouTube subscribers.

His about page lists, as his own figures, a client count above 240 and campaign work into four figures.

His team takes the asset you built, finds the sites whose readers need it, and pitches each editor by hand.

No model and no agency can promise a ranking, as Google's hiring guidance makes clear.

Learn the model side yourself in the AI Profit Boardroom.

Prefer a set time? Book a free SEO strategy session from the calendar.

Free extras: the 200+ AI SEO Prompts and the free link building book.

Also On Our Network

Pick the model for the asset, keep people on the outreach, and book a free strategy session when you want a link building agency to place it.

FAQ

Does GoldieBench score link building?

No. It scores one-shot builds such as pages, games and simulations, which is useful for choosing a model to build linkable assets.

Which model scored highest on the Landing Page task?

GLM-5.2 showed 9.0 on its GoldieBench model page, ahead of GPT-5.6 Sol at 8.7 and Gemini 3.6 Flash at 8.6.

Can an AI model run outreach for me?

Use it to build assets and draft pitches, but keep a person on every send. Google lists automated link creation as link spam.

Why is Fusion missing from the tables?

Fusion tops the board at 8.59, but it is a multi-model panel rather than one model, so it was left out of the single-model comparison.

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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