Expert AI Evaluation Services

Human evaluation of what AI writes and what AI reads.

Two fully-human, managed services, run by vetted PhDs and industry specialists. One checks whether your AI model will be considered credible. The other tells you whether AI engines cite you or your competitor.

Fixed scope. Specific expertise. Agreed timeline. One point of contact throughout. Starts from USD 200 per hour.

Track A

LLM Output Evaluation

AI output validation by independent experts, who score your model’s output and benchmark the model against a gold standard.

Track B

AI Discoverability Evaluation

A GEO audit that tells you how discoverable your brand is for relevant search queries on popular AI chat engines such as ChatGPT, Perplexity, Gemini, DeepSeek, and Claude.

LLM output validation: prove your AI model’s output meets the gold standard

You already test for latency and cost. This is the test for whether the answer is right, judged by someone qualified to say so.

Try it

AI Summary Evaluation

For a fast, honest read on quality.

  • 25 outputs reviewed
  • One domain expert, matched to your field
  • Scored on accuracy, coherence, completeness, risk, and more
  • Error list with worked examples
  • Two page summary
Timeline: 5 working days
Most requested Core

Validation Study

For benchmarking your model against a gold standard.

  • 100 outputs, spread across your use cases
  • Two experts reviewing blind, with a third adjudicating disagreements
  • Benchmarking rubric agreed with you before work starts
  • Error rate by category and severity
  • A/B testing to determine which of your models is preferred for a task
  • Written report you can share externally
  • Reviewer credentials included
  • 45-minute findings call
Timeline: 2 to 3 weeks
Build once

Gold Standard Set

Test every release the same way.

  • 75 expert-written questions with accepted answers
  • Coverage designed across your priority use cases
  • Second expert checks every pair, disagreements logged
  • Delivered as a spreadsheet or JSON your team can directly work with
  • Yours to keep and reuse
Timeline: 3 to 4 weeks

Have a custom requirement?

Large samples, experts from specific geographies, several models compared, or work that has to run inside your environment: tell us the scope, and we will share a custom quote with you.

Talk to us

GEO audit: be the brand that gets cited

Buyers now ask AI, not search. To be discovered, your online presence must be AI-readable.

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Visibility Snapshot

To find out whether LLM chat platforms cite you when someone asks about your category.

  • 15 buyer questions, agreed with you
  • Run across the three most used assistants
  • Where you appear, and who gets named instead
  • The sources those answers are built on
  • Two page summary with the first three fixes
Timeline: 5 working days
Most requested Core

Discoverability Audit

For teams who need the full picture and a ranked list of what to fix first.

  • 50 buyer questions across the major assistants and AI overviews
  • Share of answer and share of citation against three named competitors
  • Which sources the models pull from, and why those and not yours
  • Gaps in your content, mark-up, and author credentials
  • Ranked fix list with effort and likely impact
  • 45-minute walkthrough
Timeline: 10 working days
Fix it

Answer-Ready Rebuild

For content that is good but not built for discovery by LLM chat platforms.

  • Five pages rebuilt by a subject expert
  • Direct answers, clean claims, clear headings
  • Entity and schema mark-up
  • Named authorship with verifiable credentials
  • Your question set re-run after, so you can see what moved
Timeline: 4 weeks

Have a custom requirement?

Multi-market question sets, ongoing expert-authored content, or a full authority programme with credential build-out. Tell us the scope, and we will share a custom quote with you.

Talk to us

Validated claims are citable claims

The two tracks are sold separately and run separately. They compound when a client buys both.

Track A produces

An expert-reviewed error rate, a rubric, and a report with named reviewers and their credentials.

⟶

Track B needs

Substantiated claims with a verifiable source and a credentialed author. That is exactly what models look for before they cite you.

Four steps, one contact

Step 1

Scope call

30 minutes. We agree on the sample, the questions, and what a good result looks like.

Step 2

Expert matching

We share with you the most relevant expert profiles before the work starts. You can decline any of them.

Step 3

Managed delivery

A project manager runs the work. You get a mid-point check-in, not silence until the deadline.

Step 4

Report and walkthrough

Findings, the evidence behind them, and a call to work through what to do next.

Why the LLM output validation and GEO audit experts matter

Both services sell the same thing: a qualified human whose name goes on the finding.

6000+
Vetted experts on the network
120+
Countries represented
80%
Hold a PhD or equivalent
15 days
Median time to project kick-off

Tell us about your project and we will come back within one business day

You may also contact us via email at contact@kolabtree.com

Thank You

Request Submitted We'll get back to you within one business day. Contact us by email contact@kolabtree.com

Frequently asked questions

What people ask before they buy.

Q1

Who actually does the review?

Named experts from our expert network, matched on domain. You see their credentials before work starts.

Q2

Is our data safe?

Signed agreements with every expert, access limited to the sample, and deletion on completion if you ask for it.

Q3

Can we share the validation report externally?

Yes. It is written to be shared, with the method and the reviewer credentials included.

Q4

Can you guarantee we will be cited?

No, and nobody honestly can. We can show you where you stand today, what is holding you back, and the movement after we fix it.

Q5

What if our project does not fit a package?

Most do not exactly. The packages are a starting point. Tell us the question and we will scope it.