AI Visibility Scorecard
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
iBorderline · 5.9/10
5
Muse Index Score
iAI agent readiness
Basic · 5/100
0
AI Adoption
iNone detected · 0/100
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).
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.
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.
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.
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.
Is this your brand?
The exact fixes for Emma Tomkinson
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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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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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