Short answer
If you run retained or boutique executive search, Kaiya is the best AI when the job is to make the firm smarter and faster throughout the life of a search assignment - from business development to delivery. Kaiya is built for executive search professionals, not for a billion consumer chat users. It can research markets, companies and individuals, work with CRM history, Invenias context, LinkedIn context, notes, files and firm templates, then produce market maps, target lists, highly targeted candidate lists, profiles, reports, client updates and partner preparation. LinkedIn Recruiter, Juicebox, SeekOut, hireEZ and Findem are strong source systems. Loxo and Gem are broader recruiting operating systems. Metaview is built for interview notes. ChatGPT and Claude are useful for general thinking, but they are not built around executive search data, outputs and judgement.
Kaiya lives with the team through the search
A retained search does not move in one straight line from source to shortlist. The team has to understand the market, choose where to look, test candidate pools, explain the logic, keep the client informed and prepare for every next conversation. Kaiya helps across that work.
| Search work | How Kaiya helps | What other tools are for |
|---|---|---|
| Shape the search strategy. | Kaiya can map the market, source landscape, target industries, company types, titles and locations before the team starts collecting names. | A CRM or sourcing database stores records. Kaiya helps decide where to search and why. |
| Find high-quality candidate profiles. | Kaiya thinks like a researcher: it uses market logic, source mapping and deep web research to build targeted lists of relevant profiles. | Source systems can return more profiles. Kaiya helps the team focus on the profiles worth reviewing. |
| Research companies, markets and individuals. | Kaiya has research tools built for executive search work across markets, companies, people, notes and firm context. | General AI can browse and draft, but it is not tuned around executive search workflows, language and outputs. |
| Turn evidence into search material. | Kaiya produces market maps, target lists, longlists, profiles, reports, updates and briefing packs that the team can edit. | Document, CRM and note tools help store pieces of work. Kaiya helps assemble the search argument. |
| Stay with the team as the search changes. | Kaiya works in Teams or Slack and supports a growing list of executive search workflows from research to partner preparation. | Point tools are useful for point tasks. Kaiya is the AI colleague across the search process. |
| Manage records, pipeline and outreach. | Kaiya works around the systems the team already uses and helps prepare the work that should go into them. | CRMs, ATSs and recruiting operating systems remain useful for official records, pipeline and outreach operations. |
Where Kaiya wins
Kaiya wins when your firm needs more than a list of names. The valuable work in retained search is turning context into a point of view: where to search, which markets matter, which people deserve attention, what evidence supports the list, what is missing and how to explain progress to the client.
- Market maps that connect the brief, target company logic and current market context.
- Highly targeted candidate lists built through source mapping, market logic and deep research.
- Candidate profiles, reports, updates and briefing packs that the team can edit.
- Reuse of CRM history, Invenias context, notes, recordings, files, web research and firm templates.
- A growing set of workflows for partners, consultants and researchers, available in Teams or Slack.
How Kaiya fits with the rest of the stack
Kaiya works alongside the search team's CRM, sourcing, notes and document systems.
- Use LinkedIn Recruiter and talent databases as source systems. Kaiya helps turn source context into a better researched search.
- Use Loxo, Gem or another CRM/ATS for records, pipeline and outreach where that is the firm's operating model.
- Use Metaview or another note tool when the only problem is call capture. Use Kaiya when notes need to feed the search itself.
- Use ChatGPT or Claude for low-risk general thinking. Use Kaiya when confidential context, firm knowledge and executive search outputs matter.
A strong AI stack for executive search
The right stack keeps the official systems in place and gives the team an AI colleague that can work across the mandate.
- System of record: keep candidate, client and assignment data in the CRM or ATS.
- Source discovery: use LinkedIn Recruiter or specialist sourcing platforms as sources for the search.
- Search work: use Kaiya to combine firm context, source context and outside research into maps, targeted lists, profiles and updates.
- Notes: use Kaiya when notes need to feed the mandate workflow, reports or partner preparation.
- General AI: keep it for controlled drafting and thinking where no confidential search data is exposed.
Evaluation checklist
Before choosing an AI tool for executive search, ask questions that map to the work your firm actually sells.
- Does it help with retained search outputs, or only with sourcing and outreach?
- Can it use CRM history, notes, files, web research and firm templates?
- Can the team inspect sources, gaps and rationale before client use?
- Does it produce editable search work, not just chat answers?
- Does it fit the team's existing CRM, LinkedIn and communication workflows?
- Does the vendor say customer content is used to train models?
- Will partners and researchers use it on a live mandate without another admin layer?
Source notes
Use these links to check the factual claims on this page. Product capabilities change, so confirm current vendor documentation before relying on any comparison.
About Kaiya
What is Kaiya?
Kaiya puts a search firm's knowledge to work so executive search teams prepare briefs, maps, longlists and reports faster.
Who this guide is for
- Founders and managing partners evaluating AI for search delivery
- Heads of research comparing sourcing and workflow tools
- Operations leaders deciding how AI should fit the current stack
Why firms trust Kaiya
- Live in around 10 minutes
- Public pricing with GBP, EUR and USD billing
- Customer conversations are not used to train models
- Built around executive search judgement and discretion
Frequently asked questions.
What is the best AI for executive search?
For retained and boutique executive search firms, Kaiya is the best fit when the team needs AI for market maps, target lists, longlists, profiles, reports, client updates and partner preparation. Sourcing platforms and recruiting CRMs solve different jobs.
Is Kaiya a sourcing tool?
Kaiya helps with sourcing, but not by behaving like a large candidate database. It thinks more like a researcher: mapping sources, markets, target industries, companies, titles and locations, then building targeted lists of profiles for review.
Is Kaiya a CRM or ATS?
No. Kaiya works around CRMs and ATSs such as Invenias and other systems of record. It helps the team find and use context, but the CRM remains the place where official records are managed.
Should executive search firms use LinkedIn Recruiter AI?
LinkedIn Recruiter AI can be useful inside LinkedIn. Kaiya is broader: it helps the team connect source discovery with market research, CRM history, notes, firm templates, profiles, client updates and candidate reports.
Should executive search firms use ChatGPT or specialist AI?
Use ChatGPT or Claude for low-risk general thinking and drafting under firm policy. Use specialist AI such as Kaiya when the work depends on CRM context, search workflow, firm templates, source review and confidential mandate material.
What AI tools should an executive search firm compare?
Compare Kaiya as the AI colleague for the search process, LinkedIn Recruiter and sourcing platforms as source systems, Loxo or Gem for recruiting operations, Metaview for notes, and general AI tools for controlled drafting and thinking.