Answer quality in your chosen assistant
Create an agreed query set and expected evidence. Assess correctness, coverage, citations, and unsupported answers before and after changes.
AI retrieval and agent access - Help AI tools retrieve and use your documentation.
Find out why an assistant misses an important page, returns the wrong version, or gives an unsupported answer. We test real questions, improve content and retrieval where your stack allows it, then repeat the tests so you can see what changed.
Find what is getting in the way
Retrieval and agent access
Improve page structure, version labels, indexing, exports, or endpoints as appropriate. Use native platform features or add MCP access when the consuming tools and use case justify it. Test which product versions and access permissions those tools actually receive.
Public crawlability and discovery
Review rendering, crawl permissions, canonical URLs, and discoverable content. If external AI visibility is measured, record the query set, tools, date, and observed results separately from internal answer quality.
Work within the capabilities of your platform
We can assess open-source and managed documentation systems. Implementation depends on the APIs, exports, indexing controls, and hosting permissions available. We identify those limits before proposing changes.
From answer gaps to measurable changes
Assessment
An agreed query set, baseline results, technical and content findings, and a prioritized implementation plan.
Implementation
The selected content, retrieval, or access improvements, followed by a repeat evaluation and a change report.
Continuing evaluation
An agreed cadence for sampling interactions, reviewing answer gaps, and proposing improvements within Docs Ops or a separate scoped agreement.
See what changed and what still needs work
Compare answers before and after changes using the same questions and expected sources. You get the results and remaining gaps. External AI results vary by tool, question, and date, so an improvement in your assistant does not establish better rankings or citations elsewhere.
Need an assistant on the documentation site?
We also implement Biel.ai chat and search. Product subscriptions and Studio’s engineering work are separately identified in the proposal.
Options and pricing
Prices below are starting points. Before you commit, you receive a proposal with the work, total cost, schedule, and what we need from your team.
AI documentation assessment
A baseline evaluation of a defined documentation set and selected consuming tool.
From $3,500
- Agreed questions and expected evidence
- Answer and retrieval baseline
- Content and technical gap analysis
- Prioritized implementation plan
Retrieval and content implementation
Implementation of selected improvements with a repeat evaluation.
From $8,500
- The improvements named in your proposal
- Content structure or indexing changes as agreed
- Agent access or exports when in scope
- Repeat benchmark and change report
Continuing evaluation
A recurring evaluation and improvement scope with agreed capacity.
From $3,500/month
- Interaction sampling and gap review
- Selected content or configuration improvements
- Repeat evaluation at the agreed cadence
- Findings and limitations in each report
Documentation teams we have worked with
Questions about this service
We deliver an agreed assessment, implementation, and recorded observations. External AI platforms control their own ranking and citation behavior, which can vary by tool, query, and date.
We can assess managed and open-source platforms. Implementation depends on the indexing controls, APIs, exports, and hosting permissions available.
We agree a question set, expected evidence, and assessment criteria, then repeat the evaluation after changes. We report the tool, date, scope, results, and remaining gaps.
Start with the questions your users ask
Share your documentation, chosen assistant or agent, and a few queries that expose the problem. We will define what can be evaluated and improved.