AEO Specialist Toolkit: Which AI Models To Use For Answer Pages, Briefs And Schema, With Real GoldieBench Page Scores

An AEO specialist now drafts much of the work with AI models, from answer pages and briefs to schema, so the model you pick decides how much editing follows.

This page uses only scores published on live GoldieBench pages, each quoted with the page it came from.

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

How GoldieBench scores models

The GoldieBench models page says every model gets the same fixed prompts, one shot each, scored 0–10 by Julian.

The methodology page adds that there is no iteration and no best-of-several picking: what comes out first is what gets scored.

The tasks page splits the work into Games, Sims, Visuals and Pages, and says the Page tasks test "product instinct".

For an AEO specialist, the Page tasks are the closest signal, because they test whole pages built for a real audience.

The Page tasks, and why they matter for answer pages

GoldieBench runs three Page tasks.

• Landing: a modern marketing landing page in one shot.
• Webos: a working web desktop with windows, a dock and small apps.
• Aipbpromo: a cinematic motion-graphics promo with animated stats and an end call to action.

Landing is the nearest match to a service or answer page.

Webos and Aipbpromo show whether a model can keep a larger build structured and coherent, which helps on long guides.

Page scores for three widely used models

These numbers come from each model's own GoldieBench page.

GPT-5.6 Sol leads this trio on Landing, while Claude Opus 5 leads on Webos and has the higher overall average.

Claude Sonnet 5's 6.5 on Landing is a warning to check its page drafts carefully.

Who won the Landing task

The Landing task page reports 26 models tested, 21 of 26 scored, and an average of 8.11/10.

• Fugu Ultra: 9.0/10, listed as the winner.
• Fusion: 9.0/10.
• GLM-5.2: 9.0/10.
• Grok: 9.0/10.
• GPT-5.6 Sol: 8.7/10.
• Gemini 3.6 Flash: 8.6/10.

A 9.0 page looks premium, but it still needs your facts, your proof and a plain answer at the top.

The overall leaderboard, for multi-task work

An AEO specialist does more than pages, so overall averages help when one model has to cover several jobs.

The models page lists these averages:

Fusion and Hermes MoA are multi-model panels, so they suit a setup where you already run more than one model.

Matching models to an AEO specialist's tasks

Where GoldieBench has no score, choose on reliability and how well the model follows "do not invent facts".

What no model score covers

A model cannot unblock a crawler that your CDN challenges.

OpenAI's crawler overview says sites opted out of OAI-SearchBot will not appear in ChatGPT search answers, and Perplexity's crawler docs recommend allowing PerplexityBot and its IP ranges.

A model also cannot supply first-hand experience.

Google's generative AI optimisation guide asks for "non-commodity content" and warns against simply recycling what a generative AI model could produce.

So the best-scoring draft is still a draft until the business adds its own detail.

A small-business workflow, step by step

Here is how a physiotherapy clinic could split the work between models and people.

1. The clinic lists the twelve questions patients ask before booking, such as how many sessions a knee injury needs.

2. A Page-strong model such as GPT-5.6 Sol drafts an answer page from a brief, with placeholders where clinic detail belongs.

3. A physiotherapist fills the placeholders with real treatment steps and checks every health claim.

4. Any capable model drafts LocalBusiness markup from the finished page, and a person checks it matches the visible text.

5. The clinic tracks AI impressions in Search Console's generative AI performance report.

Health content carries extra weight for accuracy, so step 3 is not optional.

How to test a model on your own pages

Benchmark scores narrow the field; your own trial picks the winner.

1. Take one real buyer question and one finished brief with your business facts.

2. Give the same brief to two models that score well on Landing, such as GPT-5.6 Sol and Grok.

3. Ask each to open with a two-sentence answer and to leave a marked gap wherever it lacks a fact.

4. Count the invented details in each draft; the model with fewer is the safer default.

5. Time your edit on each draft, because editing time is the real cost an AEO specialist carries.

Repeat the trial whenever a new model lands near the top of the GoldieBench leaderboard.

Why one-shot scores suit AEO drafting

GoldieBench scores the first output with no retries, which is close to how a busy team uses a model for a first draft.

A model that needs five rounds of prompting to produce a usable page costs more editing time than its final score suggests.

That is why the Page scores above are a fair starting point, even though no benchmark measures citations in AI answers.

The human half of the job

The model choice is the easy part.

The hard part is deciding which questions deserve pages, keeping business facts consistent and earning real mentions.

Google's page on hiring an SEO now asks whether AEO and GEO advice matches its official guidance, and says nobody can guarantee a #1 ranking.

Goldie Agency covers SEO, GEO, AEO and link building, with link work described as "manual outreach, no PBNs".

For a broader look at the role, see the AI SEO specialist guide.

Got your model drafts and not sure what to ship first? Grab a free SEO strategy session and get a plan for the next 90 days.

Also On Our Network

• Agent Operatorsthe weekly operating routine an AEO specialist runs, with exact settings
• AI Income Deskwhether hiring an AEO specialist is worth it for a small business
• AI Tool Verdictfive ways to get AEO done, scored out of 10 with a final verdict
• agentos.guidefive Agent OS prompts that do an AEO specialist's groundwork

Pick a Page-strong model for drafts, keep people in charge of facts and access, and book a free SEO strategy session when you want a team alongside your AEO specialist.