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Customer story · Sophia High School

What families ask AI
about online school.

Sophia High School ran the full Aiso engagement, renewed for an extension, and now operates a live bot-tracking dashboard and a content engine driven by the real prompts families ask AI assistants.

A Sophia High School student learning online at home
85 → 100
landing-page Lighthouse score, first week
100+
content ideas mapped to funnel stage
Weekly
live AI-visibility tracking

The brand

Sophia High School is a British independent online school offering live teaching in small classes. The buyer journey is heavy on research: parents and students compare options across forums, reviews, and increasingly AI assistants before they ever fill out a form. Education is a high-trust, comparison-heavy category, and AI assistants now compress that comparison into a few sentences.

The challenge

When a family asks ChatGPT, Claude, or Gemini for online-school recommendations, the answer typically narrows to two or three named brands. Sophia wanted continuous visibility into which prompts were being asked, which competitors were being recommended, and where to focus content and technical work to move those answers.

How we ran it

Aiso engagements follow a structured three-phase plan - research, actions, reporting. The Sophia engagement covered all three phases and was extended into a renewal period.

  1. Phase 1 · Research

    • Onboarding: products, target families, and student personas mapped.
    • Key prompts: the real questions families ask AI assistants when researching online schooling, with intent classification (TOFU/MOFU/BOFU).
  2. Phase 2 · Actions

    • Tech stack review of the existing site, with a landing-page performance pass.
    • llms.txt file with implementation guidelines.
    • Crawlability report covering which pages were retrievable by AI assistants.
    • Schema markup audit and per-page JSON-LD snippets.
    • Third-party source analysis: which forums, education sites, and reviews drive AI mentions for online schooling.
    • Content engine: 100+ article ideas classified by topic, type, audience, and funnel stage, run through an approve / redraft workflow at roughly two drafts a week.
    • Website redesign: 10 high-fidelity wireframes taken through to production-ready mockups.
    • Multi-channel repurposing across LinkedIn, Medium, and YouTube.
  3. Phase 3 · Reporting

    • KPI targets and brand-voice measurement set up.
    • Bottom-of-funnel attribution: AI-assisted clicks and conversions modeled in Google Analytics.
    • Top-of-funnel impressions: a live Looker Studio bot-tracker dashboard pulling from server logs, with weekly automated updates.
    • Weekly recap mailers covering what shipped, next steps, and client action items.

Where it stands

The engagement is ongoing. Sophia signed an extension after the initial plan completed, and the team operates the bot tracker and content engine on a recurring cadence. Early technical work lifted the landing page's Lighthouse score from 85 to 100, and tracked ChatGPT impressions reached an all-time high in early 2026 as the content and technical fixes compounded.

For more on the underlying data, see our methodology page.

Frequently asked questions

What did Aiso do for Sophia High School?

Sophia High School ran the full Aiso engagement and renewed for an extension. In research, Aiso mapped products, target families, and student personas and identified the real questions families ask AI assistants, with intent classification. In actions, Aiso ran a tech review and landing-page performance pass, produced an llms.txt file and a crawlability report, audited schema with per-page JSON-LD, analyzed the third-party sources that drive AI mentions in online schooling, built a content engine of 100+ classified article ideas, and took a 10-screen website redesign from wireframes to production-ready mockups. In reporting, Aiso set up KPI and brand-voice measurement, Google Analytics attribution, a live Looker Studio bot-tracker dashboard, and weekly recap mailers.

What results does Aiso track for Sophia High School?

The engagement is ongoing, so Aiso focuses on continuous measurement. Early technical work lifted the landing page's Lighthouse score from 85 to 100, and tracked ChatGPT impressions reached an all-time high in early 2026 as the content engine and technical fixes compounded. Aiso tracks bottom-of-funnel AI-assisted clicks and conversions in Google Analytics and top-of-funnel impressions through a live Looker Studio bot-tracker dashboard that pulls from server logs and updates weekly, alongside which prompts families ask, which competitors assistants recommend, and editorial-calendar progress.

How does Aiso improve a brand's visibility in AI assistants like ChatGPT?

Aiso follows a structured three-phase method. Research maps the brand's products, audiences, and personas and identifies the real prompts people ask ChatGPT, Claude, Gemini, and other assistants, with intent classification. Actions cover the technical and content work that helps assistants find and cite the brand: a tech review, an llms.txt file, a crawlability report, a schema audit with JSON-LD, third-party source analysis, and a content engine. Reporting sets KPI targets and measures AI-assisted clicks, conversions, and impressions so the brand can see where it stands and what to work on next.

Does Aiso work for online education and schools?

Yes. Sophia High School offers premium online schooling and ran the full Aiso engagement. Education is a high-trust, comparison-heavy category where parents and students research across forums, reviews, and increasingly AI assistants before they ever fill out a form, and AI assistants now compress that comparison into a few sentences, which makes visibility in those answers valuable for schools.

How can I get the same results for my brand?

You can start a free trial to see which prompts your prospects are asking AI and where you stand against the competitive set, or book a call with the Aiso team to talk through your category.

Map your AI presence

See which prompts your prospects are actually asking AI and where you stand against the competitive set.