LLM SEO Agency for SaaS + Which AI Models Draft the Pages Best, With Real GoldieBench Scores

An LLM SEO agency for SaaS still does the strategy, but AI models now draft most of the raw material: landing pages, comparison outlines, schema and briefs.

So which models are worth using for those jobs, going only by scores published on goldiebench.com?

Here's what the bench shows, what it doesn't, and where a human team takes over, with a free SEO strategy session if you want that team to be Goldie Agency.

What GoldieBench measures, and what it doesn't

The methodology page spells it out: one fixed prompt per task, one shot, a single self-contained HTML file, scored 0 to 10 by Julian.

That makes the bench useful for one SEO job in particular: building pages.

It doesn't score SEO briefs, schema accuracy or outreach copy.

For those tasks, the scores below are a signal about general capability, not a verdict.

The overall leaderboard, as published

These figures come from the GoldieBench leaderboard as read on 11 November 2026, which lists 33 models across 50 tasks.

The "Pages" label matters most here, because SaaS SEO lives on landing, feature and comparison pages.

Landing pages: the closest task to SaaS SEO work

The Landing task page asks every model for a modern marketing landing page in one shot.

It reports 26 models tested and an average of 8.11/10.

Julian's note on GPT-5.6 Sol's attempt describes a dashboard mockup that reads as premium SaaS.

For a SaaS feature page, that's the right instinct.

Just remember a good-looking page still needs its copy in the raw HTML, which brings us to rendering.

Which model for which SaaS SEO task

The Sonnet 5 figure is an outside benchmark the site quotes, not a GoldieBench medal score, and the page says so.

Why rendering beats design for AI search

Google's JavaScript SEO basics note that server-side or pre-rendering helps because "not all bots can run JavaScript".

Bing's Webmaster Guidelines warn against hiding critical content behind client-side rendering.

So when a model hands you a slick one-file landing page, check the headline and main copy sit in the HTML, not in a script that writes them later.

Ask the model to output static HTML with the copy inline.

Here's a brief that works with any of the top Landing scorers:

Build a feature page for [product] as static HTML.
All headings and body copy must be in the HTML source, not injected by JavaScript.
Use real <a href> links for navigation.
One H1 naming the product and the job it does.
Leave [PLACEHOLDER] where a real screenshot or customer quote goes.
No invented stats, logos or testimonials.

The placeholder rule matters most.

Models happily invent customer logos and numbers, and those fabricated claims are exactly what you don't want an AI engine quoting back about you.

How to read these scores sensibly

A 9.0 on Landing means Julian rated that one-shot page highly for design and build quality.

It doesn't mean the copy was accurate, the page was fast, or the markup was search-friendly.

Scores near each other, such as 8.7 and 8.6, are close enough that price, speed and your own workflow should decide.

The bigger gaps are more telling: Claude Fable 5 at 7.2 on Landing against four models at 9.0 suggests trying another model first for page drafts, even though Fable 5 sits fifth overall at 8.10 on the leaderboard.

Different jobs suit different models, so route by task instead of picking one favourite.

And re-check the live pages before you rely on a number, because the bench updates as new models land.

What the models can't do for you

No model decides your crawler policy.

OpenAI's crawler overview says sites opted out of OAI-SearchBot won't appear in ChatGPT search answers, and that it's separate from GPTBot, the training bot.

No model makes your product name consistent across marketplaces, review sites and partner directories.

And no model can promise a citation: OpenAI's ChatGPT search article says placement is not guaranteed, and Google says no one can guarantee a #1 ranking.

Google also treats AEO and GEO as ordinary SEO, per its generative AI search guide, so a model selling you llms.txt as a Google trick is wrong: Google says Search ignores it.

Small-business example: a two-person CRM for gyms

1. Draft the main feature page with GLM-5.2, asking for static HTML with all copy inline.
2. Paste the repo's routing code into Claude Sonnet 5 and ask it to find pages that return 200 when missing.
3. Give Claude Opus 5 the competitor's public docs and your sales notes, and ask for a fair comparison outline.
4. Have a person check every claim, add real screenshots and publish.
5. Open robots.txt to OAI-SearchBot, PerplexityBot and Claude-SearchBot, then watch Bing's AI Performance report for citations.

The human and agency half

Models are fast at drafts.

The parts that decide whether a SaaS gets cited are judgement and relationships: what you're truly best at, which comparisons are fair, and which editors will link to you.

Measurement is human work too.

Someone has to read Search Console's generative AI impressions, Bing's citation counts and your chatgpt.com referrals each month, then decide what to change.

When you vet an agency, ask whether its AEO and GEO advice matches Google's official guidance, a question now listed on Google's hiring an SEO page.

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

By his own published numbers it has run 1,000+ SEO and link building campaigns, and Julian shares his AI search tests with 425K+ YouTube subscribers.

For the full agency buying guide, see our post on SEO agencies for SaaS.

Want help choosing? Book a free SEO strategy session.

Also On Our Network

• Agent Operatorsthe nine-step run sheet for an LLM SEO engagement on a SaaS site
• AI Income Deska small-business owner's test for whether LLM SEO help is worth hiring yet
• AI Tool Verdictfive routes to AI search visibility for a SaaS, each rated out of 10
• agentos.guidefive Agent OS prompts that do the SaaS LLM SEO groundwork first

Pick the model by task, check every draft by hand, and book a free strategy session when you want the human half handled by an LLM SEO agency for SaaS.