Spott pricing 2026: Core vs Pro, Ask AI and our review

What are Kepler and Spott?

Kepler is a recruitment CRM built around AI Chat and a searchable database. AI Chat sits on every page, reads candidates, CVs, notes, emails and call transcripts, and creates or updates records once a person approves.

Around AI Chat, Kepler includes:

• pipelines, jobs, tasks, and email and calendar sync
• a meeting notetaker for Teams, Zoom and Google Meet
• CV parsing and formatting, and a job board on your own domain
• campaigns, automations, reporting, a client portal and consent records
• email and WhatsApp in one inbox, and phone integrations for calls

Contact enrichment is available, and single sign-on is available on the Enterprise plan.

Spott describes itself as an AI-native ATS and CRM for recruitment agencies. Its documentation covers candidates, contacts, jobs, placements, a unified inbox, calls, outreach campaigns, reporting and integrations. Spott ships its AI as many separate features, from CV diffing and enrichment to matching and campaign copy, each with its own settings switch and most with a credit cost.

Where does the AI live in Kepler and in Spott?

The real difference is how you work. In Kepler you ask AI Chat a question in plain English, such as “which of my Berlin candidates has shipped a payments integration, and who owns them?” It searches the whole database, ranks the answer, and can save the result as a list or update records after you approve.

Because AI Chat is inside Kepler, its answers are records you can act on, not names to retype. AI Chat is included on every plan, monthly and annual, with no add-on or upgrade needed.

Spott’s Ask AI is a panel scoped to one record: a candidate, a job, an application or a call. Spott does not have an AI chat that works across many records inside the app. For those questions, Spott’s documentation points to its MCP server, which lets ChatGPT or Claude query your Spott data from outside the CRM.

Kepler also has an MCP server, so Claude, ChatGPT or Claude Code can work in a Kepler workspace too. In Kepler it is an extra route, because the cross-record work already happens in the app.

What search reads

Kepler’s search reads CVs, notes, email threads and call transcripts, and you ask in plain English. Spott’s AI works from notes, work experience and CV files. Spott’s AI does not search your email threads across the database. Only Ask AI reads synced email, on the one record you have open.

How does each one match candidates to jobs?

Kepler scores every candidate from 0 to 100 against the job. The score is based on criteria taken from the job description, which you can edit. Each criterion shows the line from the CV, call or email behind it, so a consultant who disagrees can read the reason.

Spott also shows a 0–100 score, with a thumb up or down per criterion. Spott’s documentation notes that matching quality drops when the filtered pool exceeds roughly two thousand candidates.

Where do Kepler and Spott overlap?

Outbound campaigns, a client portal, consent records and contact enrichment are in both products. The differences are in the detail.

• Campaigns. Kepler runs multi-step sequences that send the emails for you and remind your team when it is time to call or reach out on LinkedIn or WhatsApp. It caps each mailbox per day, ramps a new mailbox’s cap over 14 days, tests two versions of the first step, and credits applications and placements to the campaign. Spott’s sequences have the same shape and add automatic mailbox warm-up. Spott’s multi-channel sequences are only on the Pro plan.
• Client portal. Kepler signs the client in by magic link, can share a candidate blind with a redacted CV, and sends digests immediately, hourly or daily. Clients rate candidates, comment and request interviews. Spott’s portal also takes ratings, comments and interview requests, and can show or hide stages, scorecards and the hiring team’s names.
• Consent records. Kepler stores consent per person with purpose, lawful basis and valid-until dates. It limits campaign audiences to people with valid consent, records withdrawals from unsubscribes and WhatsApp STOP, and flags expiring consent every night. Spott also stores consent per person with purpose, lawful basis and valid-until dates.
• Contact enrichment. Kepler offers enrichment for work and personal emails, mobile numbers and LinkedIn URLs, for one record or in bulk, with a review step. Spott’s enrichment is only on the Pro plan, finds emails and phone numbers through a waterfall of data providers, and bills credits on top of the seat.

How do Kepler and Spott differ on phones and jobs?

• Phones. Kepler connects Ringover, RingCentral, Twilio, JustCall and Telnyx. It imports call history and recordings, transcribes the calls an admin chooses to share, logs calls to the right record, and sends one-off SMS after checking consent. Spott integrates VoIP providers with click-to-call and call transcription.
• Jobs. Kepler publishes jobs to a branded careers site on your own domain, marked up for Google for Jobs, and parses, de-duplicates, screens and scores applicants as they arrive. Spott distributes jobs through Broadbean and idibu and hosts branded career pages under its own domain.

What does Kepler do differently?

Kepler’s differences cluster around trusting what is in the database.

• Updates you approve. Kepler turns emails, calls and WhatsApp messages into proposed updates, each with its source attached, for a person to accept or reject. Spott’s scheduled profile refresh documents no review step.
• History and undo. Kepler keeps history for every field, records the source of each AI-suggested change, and supports undo. When two consultants edit the same record, Kepler stops the older save from overwriting the newer one.
• LinkedIn. Kepler can search LinkedIn, shows whether a person is already in your database and what has changed since you last spoke, and adds them if they are not.
• Your own careers site. Kepler’s job board runs on your domain, with six layout themes, so your roles build search authority for your brand.

How much does each one cost?

Kepler is USD 99 per user per month billed annually, or USD 129 monthly. Every feature is on that single plan, with unlimited records, free migration and a monthly AI allowance with more on request. AI Chat is included on every plan, monthly and annual, with no add-on or upgrade needed.

Spott Pro is the like-for-like plan: USD 199 per user per month billed annually, or USD 249 monthly. Automations, multi-channel sequences, the marketing suite and data enrichment are only on Pro.

Spott’s Core plan is USD 139 annual or USD 169 monthly, without those four features. Read on spott.io/pricing, 13 Sep 2026.

• AI token spend for matching, notes and drafting is included in every Spott plan.
• Enrichment credits for contact data are paid on top of the Spott seat.
• Spott runs migration, typically in four weeks, and publishes no migration fee.

Which agencies is Kepler built for?

Kepler is built for agencies that want a simple CRM with the AI included. The main asset is a database of CVs, notes, emails and call transcripts, and Kepler’s AI Chat answers a real question across all of it, then acts after a person approves.

Kepler fits teams that want to see why a candidate scored what they did, and teams that want profile updates proposed for approval, not written straight to the record. It fits agencies that want one price with campaigns, the client portal, consent records and AI Chat in it, and the migration done for them.

Can you migrate from Spott to Kepler?

Yes. Kepler does the migration for you on every plan. You send an export from Spott, plus any loose CVs, spreadsheets and inbox archives that never reached the CRM.

Kepler handles extraction, mapping, de-duplication and validation, and rebuilds custom fields as real fields. You review fifty of your own records before the full load, and activity, stages and history come across. Kepler exports the whole workspace at any time, with no exit fee.