LLM SEO Services + Which AI Models Draft the Pages and Tools Best, With Real GoldieBench Scores

LLM SEO services now lean on AI models for the drafting work, from answer pages to schema to internal tracking tools, so the model you pick matters.

This page matches those jobs to models using only scores published on goldiebench.com, each quoted with the page it came from.

Then it covers the part no benchmark measures: getting cited. For that half, book a free SEO strategy session with Julian's team.

Want to run the same models yourself? The AI Profit Boardroom teaches AI SEO with them inside the Agent OS.

Read this first: what GoldieBench scores

The methodology page says every model gets the same fixed prompt, one shot, with no iteration or best-of-N, and must return a single self-contained HTML file.

Every score is Julian's own 0–10 number from his head-to-head guides.

The tasks page groups prompts into Games, Visuals, Sims and Pages, and says Page tasks "test product instinct".

So the bench is a direct signal for building pages and interfaces, and only an indirect one for writing briefs or schema.

The leaderboard, as read on 11 November 2026

The GoldieBench leaderboard listed 33 models, 50 tasks and 1,310 live demos when I read it.

GPT-5.6 Sol is the highest-ranked model whose strongest category is Pages, which is the category closest to SEO page work.

Landing task: the proxy for service and answer pages

The Landing task page asks for a modern marketing landing page in one shot, reports 26 models tested with 21 of 26 scored, and an average of 8.11/10.

For LLM SEO, a landing page is the skeleton of a service page: a clear headline, sections and calls to action.

Any of the 9.0 group is a reasonable first draft engine, but the bench scores design and build quality, not whether the copy answers a buyer's question.

That part is still yours to check against the questions people type into ChatGPT and Perplexity.

Web-OS task: a proxy for internal SEO tools

Plenty of LLM SEO work runs on small internal tools: a citation tracker, a prompt-log viewer, a crawler-hit dashboard.

The Web-OS Desktop task asks for a working desktop with windows, a dock and Notes, Paint and Terminal apps, a fair stress test for multi-part interfaces.

The page lists the task average at 7.98/10.

If you want a one-file dashboard that reads your monthly citation CSV, Fusion and GPT-5.6 Sol are the strongest signals here.

Matching models to LLM SEO tasks

Here's how I'd assign the drafting jobs, using the scores above as the deciding signal.

The SWE-bench figure is a reference number the leaderboard shows next to the model, not a GoldieBench task score.

Schema and briefs: where the bench is silent

GoldieBench doesn't test JSON-LD or content briefs, so I won't pretend a score proves which model does them best.

For schema, any capable model can draft Organization markup; check it against Google's Organization structured data guide and make sure it matches visible text.

For briefs, ask the model for what only you can add, because Google's AI optimisation guide rates non-commodity content above every other tactic it lists.

And skip mass-producing pages from fan-out queries; Google classes that as scaled content abuse.

What no model score tells you about citations

A perfect landing page is invisible if the AI search bots can't reach it.

OpenAI's crawler overview says sites opted out of OAI-SearchBot won't appear in ChatGPT search answers, and its help centre says placement "is not guaranteed".

Perplexity asks you to allow PerplexityBot to appear in its results (Perplexity crawlers), and Anthropic says blocking Claude-SearchBot may reduce visibility in Claude's search (Anthropic crawlers).

Google says AI Overviews and AI Mode need nothing beyond normal SEO eligibility (AI features and your website).

Those are access and trust problems, not model problems.

Small-business examples, step by step

A wedding photographer: 1. Draft a packages page with GLM-5.2. 2. Replace stock lines with real venue stories and photos. 3. Check PerplexityBot is allowed, then ask two venues to list you as a recommended supplier. A software reseller: 1. Build a one-file citation dashboard with Fusion. 2. Feed it monthly prompt-log results. 3. Brief one answer page each month for the question you're losing. A cleaning company: 1. Use Gemini 3.6 Flash for quick area-page drafts. 2. Keep only areas you genuinely serve. 3. Match name, address and phone everywhere.

The human part: what a team adds

Three jobs stay human however good the model: deciding crawler and training-bot policy, earning mentions on the sites AI tools already cite, and reading the citation reports.

Bing's AI Performance report and Search Console's generative AI report give first-party numbers; in our own analytics, ChatGPT visits usually show chatgpt.com as the source.

Goldie Agency covers SEO, GEO, AEO and link building, with outreach it describes as "Manual outreach, no PBNs", and Julian shares his AI SEO tests with 425K+ YouTube subscribers.

Nobody, including Goldie Agency, can guarantee a ChatGPT mention; Google says no one can guarantee a #1 ranking either.

Prefer to learn it yourself first? The AI Profit Boardroom shows how to run these models inside your Agent OS, or Book a free SEO strategy session when you're ready.

Also On Our Network

• Agent Operatorsthe nine-step delivery run sheet for LLM SEO, with log commands
• AI Income Deskwhether LLM SEO is worth it for your small business, and what to ask
• AI Tool Verdictfive ways to buy LLM SEO, scored out of 10 with reasons
• agentos.guidefive Agent OS prompts that baseline your AI citations before you hire

Pick the model by task, check every draft by hand, and book a free strategy session when you want a team running LLM SEO services for you.