AI visibility score
5.9/ 10Fair

▲ 0.9 since Jun 2026

#91,866 of 937,393 in Education

As of 2026-07-31 · Engagemii indexCheck another site →The index →

AI Visibility Scorecard

Emma Tomkinson

Emma Tomkinson

Unclaimed

emmatomkinson.com · Education

Somewhat visible. AI bots can read Emma Tomkinson, but it is missing the structured signals that push citation rate above competitors.

AI engines read this profile 7 times

Claude · Meta AI · Apple Intelligence

#91,866 of 937,393 in Education for AI visibility

6

AEO Visibility

i

Borderline · 5.9/10

5

Muse Index Score

i

AI agent readiness

Basic · 5/100

0

AI Adoption

i

None detected · 0/100

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About Emma Tomkinson

from our crawl and measurement

"In addition, the use of performance incentives or clauses were common." That is how Emma Tomkinson introduces itself. To AI engines like ChatGPT and Perplexity it is partially visible, scoring 5.9 out of 10, readable in places and missing in others.

On the page itself the strengths are clear: a clear heading structure, a clearly stated business identity and sitemaps and entity links AI can follow. It is passable on a few credibility markers and basic crawler access. What holds it back is structured data describing the business.

Away from its own site, other sites link to it. There is some, but not much, sign that the domain is only lightly established. Beyond that, AI engines do not yet recognise it as a distinct business, there is no press coverage to draw on, nobody is discussing it where AI engines look and it does not come up on Reddit. Those are earned elsewhere on the web, not fixed on the site itself.

AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).

Industry · Education
Last scored · Jul 31, 2026

The 6 signals AI reads

Strong · Good · Fair · Weak

Structured Data

Weak

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

Strong

Clear headings and answer-style content.

Entity Clarity

Good

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

Good

Experience, Expertise, Authority, Trust markers.

Technical AEO

Good

robots.txt, llms.txt, and AI-bot crawl access.

AI Discoverability

Strong

Sitemaps and entity links AI can follow.

Off-page authority

How the web signals your brand to AI

Backlinks

Strong

Inbound links from other sites.

Domain Authority

Weak

Little domain authority yet.

Reference Presence

Weak

Not in AI knowledge graphs yet.

News & Press

Weak

No press coverage found yet.

Community

Weak

No community discussion yet.

Social Mentions

Weak

No social discussion found yet.

What this score means

Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 5.9/10, Emma Tomkinson has a working base to build on - fixable, and the signals above are where to start.

Frequently Asked Questions

Why do we use SIBs for service gaps?

SIBs have largely been new prevention or early intervention services. They attempt to prevent or reduce people’s need for expensive existing services down the line. This is also the economic justification for SIBs – spend earlier to save later and help participants avoid worsening outcomes. So SIBs have been new services that try to reduce the need for existing services.

Could SIBs spread to replace existing contracts?

Let’s examine this questions by splitting SIBs into two types (see the diagram above). The first is the type that pay for things that happen, without requiring evidence of improvement. For example per graduation, per job commencement, per child placed with a family.

So could a pay-per-participant-outcome SIB replace an existing contract?

The second type of SIB pays for improvement against what might have happened without the service (a comparison or counterfactual). It seems that when people say ‘Pay for Success’ in the US, this is what they are referring to. The first SIBs in the UK and US, Peterborough and Massachusetts, were set up like this.

Could a pay-per-improvement SIB replace an existing contract?

Again, the answer on theoretical grounds is yes. But payments in this model are made when the SIB improves on a comparison. And where this comparison is ‘no service’ in SIBs so far, now the SIB is going to have to improve on an existing service.

But how do we make sure enough participants are referred to a SIB?

Let’s look at two SIBs where this issue has been responded to. Educating/marketing to government referrers: Essex County Council The Essex County Council SIB relied on referrals from the council, however they weren’t getting enough of the right type. In order to fix this, the delivery organisation went in to educate and encourage council staff about the program and who they should refer to it.

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Picked for Emma Tomkinson: How-To

How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide

The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.

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Source & Attribution

Scored by Engagemii on July 31, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/emmatomkinson

Cite this score: Engagemii (2026). "AEO Score for Emma Tomkinson." Retrieved from https://engagemii.com/aeo/brands/emmatomkinson

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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