SEO Agency for Startups + Which AI Models Draft Launch Pages Best, With Real GoldieBench Scores

A good SEO agency for startups now pairs human strategy with AI models that draft the launch pages, briefs and markup, so the model you choose matters.

GoldieBench scores models on one-shot builds, and its page-building tasks are the closest match to the pages a young company ships first.

Here is what the live scores say, which model to try for each startup SEO job, and where people still have to take over.

Want the human side handled? Book a free strategy session with Julian Goldie's team at Goldie Agency.

What GoldieBench measures, in one paragraph

According to the methodology page, every model gets the same fixed prompt, one attempt, and must return a single self-contained HTML file.

Julian then scores each result from 0 to 10, and the leaderboard averages those scores across the tasks a model ran.

Nothing on the bench grades keyword research, schema accuracy or outreach emails.

So read the scores as evidence of page-building skill, and treat everything else as a judgement call.

The leaderboard models that matter for startup pages

Read on 11 November 2026 from the GoldieBench leaderboard, which lists 33 models, 50 tasks and 1,310 live demos.

Four of those six carry the "best at Pages" tag, which is the category a startup marketing site lives in.

Landing pages: the closest task to a launch

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

Julian tags the GPT-5.6 Sol attempt as a "polished SaaS hero", which is exactly the look most seed-stage startups want.

The Claude Fable 5 score was held back by a 3D object overlapping card text, a reminder to check readability as well as polish.

App-style builds: a signal for JavaScript-heavy products

Many startups ship their marketing site inside the same framework as the app, so the Web-OS task is a useful second signal: a working desktop with windows, a dock and small apps.

It reports a 7.98/10 average, with Fusion as winner at 9.0, Grok also at 9.0, GPT-5.6 Sol at 8.4, and Gemini 3.6 Flash and Claude Fable 5 at 8.0 each.

Strong interactive builds are impressive, but they are also where search problems hide.

Google's JavaScript SEO guide still recommends server-side or pre-rendering, because not every bot can run scripts.

So ask any model for static HTML on the pages you want found.

Which model to try first for each startup SEO task

The SWE-bench figure is an outside benchmark the site quotes, not one of Julian's 0 to 10 scores.

A brief that suits any of the top page builders

Build the homepage for [startup] as static HTML.
Put the H1, subheading and all body copy in the HTML source.
Use real <a href> links for every menu item.
One H1 that names the product and the job it does.
Add [PLACEHOLDER] wherever a real screenshot, metric or quote belongs.
Do not invent customers, logos, numbers or reviews.

The placeholder line matters most.

Models happily fill gaps with made-up stats, and a fabricated number is the last thing you want an AI answer repeating about your brand.

What the scores cannot tell you

• Whether a page will rank, since no tool or person can guarantee that.
• Whether ChatGPT will cite you; OpenAI's search help page says placement is not guaranteed.
• Whether your content is original enough; Google's generative AI guide rewards non-commodity content that only you could write.
• Which customer segment is worth targeting first.

Run a fair test of your own before you commit

The bench gives you a shortlist; your own brief settles it.

1. Write one brief for your real homepage using the template above.
2. Give the identical brief to two or three of the top Landing scorers, one attempt each, as the methodology does.
3. Open each file with JavaScript switched off and note which still shows the headline and copy.
4. Score each on clarity of the offer, transparency of the claims and how readable it is on a phone.
5. Keep the winner, then edit the copy by hand with your own customer language.

That keeps you close to how the bench works, while testing the thing you actually need.

The human part: strategy, links and judgement

Models draft; people decide.

A startup still needs someone to pick the few pages worth building, confirm the site is crawlable by Google and AI search bots, and earn the first links from real sites.

OpenAI's bot documentation says sites must allow OAI-SearchBot to appear in ChatGPT search answers, which is a robots.txt decision, not a model one.

Paid placements, if any, should carry rel="sponsored" under Google's link guidance.

Goldie Agency is Julian Goldie's SEO, GEO, AEO and link building agency, with link building described as "Manual outreach, no PBNs".

By Julian's own published numbers, it has run 1,000+ SEO and link building campaigns for 240+ clients.

A startup workflow: model plus agency

1. Draft the homepage and one feature page with a top Landing scorer, using the brief above.
2. Check the raw HTML holds the copy, then publish.
3. Ask Claude Opus 5 for a brief on your first comparison page, then fill it with your own data.
4. Allow the AI search crawlers in robots.txt and verify the site in Search Console.
5. Hand the plan, outreach and reporting to a team, starting with a strategy session.

To get step five moving, Book a free SEO strategy session, or learn AI SEO yourself first if you prefer to run it in-house.

Building software? The SaaS edition of this model guide covers docs and integration pages.

Also On Our Network

• Agent Operatorsthe six-phase operator playbook for startup SEO, with robots.txt lines
• AI Income Deskwhether startup founders should hire SEO help now, wait, or DIY
• AI Tool Verdictfive ways to get startup SEO done, scored out of 10
• agentos.guidefive Agent OS prompts that do startup SEO groundwork before you hire

Let the best page builders draft, keep people on strategy and links, and book a free strategy session when you want an SEO agency for startups beside you.