It reads your service pages, manifesto, case studies, and team bios - so the bot's representation of the studio tracks the clarity of your published positioning. Agencies that have crisp service definitions get crisp bot answers; studios whose positioning is vague get bot answers that match. We recommend reviewing the bot's tone after a week of live conversations and tightening either the system prompt or the underlying positioning content from what surfaces.

If you've published price ranges, yes - the bot quotes them exactly. If you haven't, configure it to give project-size context anchored to past work ('similar marketing sites we've delivered have started at 50,000 EUR') and offer to book a call for an exact figure. Most studios prefer this hybrid: enough price signal to filter out fundamentally mismatched prospects, without committing to a public rate card that loses pricing power.

Conversations log to WordPress and can fire webhooks to HubSpot, Pipedrive, Notion, or Airtable on conversation end. Most agencies forward qualified leads with the full transcript attached, mapped to their pipeline stages. The transcript itself is often more useful than the structured fields - it captures the prospect's actual language and concerns, which informs how new-business approaches the discovery call.

Yes - branding, performance, engineering, and product arms of the agency can each have their own bot scoped to their service line. A prospect asking about a brand refresh gets the brand bot's tone and case studies; a prospect asking about a Webflow build gets the engineering bot. For studios with distinct sub-brands or positioning per service, multibot keeps the messaging coherent.

Yes - if cold-email recipients land on your site, the bot can recognise the campaign via UTM and tailor its greeting and qualifying questions. A prospect arriving from a 'fintech-marketing-leads-Q2' campaign gets a different opening question than a generic referral visitor, which lifts conversion meaningfully on outbound campaigns. Logging UTM context also gives the SDR team clearer attribution.

Yes - useful for international agencies or for serving prospects in their native language while case studies stay in English. A French CMO asking about fintech work in French gets answers in French with case-study summaries translated, then a discovery-call slot booked in their preferred language. For studios chasing European or LATAM business, this measurably broadens the qualified inbound pool.

Configure the system prompt to defer commitments - dates, exact deliverables, headcount allocation - to a discovery call rather than commit on the bot's behalf. A line like 'a senior strategist would normally lead a project of this shape - happy to confirm availability on the call' is honest without losing momentum. Audit logs weekly for any drift and tighten the prompt where the model tries to commit too eagerly.

Yes - by design. The qualification questions are scope-anchored: deliverables, timeline, team-size assumptions. A prospect describing what's actually a six-month engagement under a 'small marketing site' label gets gentle reframing in the chat itself. This saves your team the awkward scope-realignment conversation in week two of a misframed project, which is where most agency margin disappears.