Conversations & selling

One place to answer the people talking to you, sell the products in your posts, and write content that AI assistants will quote back to their users.

Who it's for

• Brands and creators who get a lot of DMs, comments and mentions and want to answer them faster.
• Online sellers who want to point shoppers to the right product straight from a post.
• Teams who want to show up when people ask AI assistants for recommendations.

What you can do

• See all your incoming DMs, comments and mentions from connected accounts in a single inbox instead of jumping between apps.
• Let AI write a ready-to-send reply in your brand's voice, so you just review and send.
• Catch risky or off-brand comments on your ads automatically, so nothing harmful slips through unnoticed.
• Tag the right products in a photo so followers can find what you're showing.
• Write FAQ, comparison and answer content built to be quoted by AI assistants.
• Check whether AI assistants are already naming your brand when people ask about your topic.

Getting started

Open your inbox

Go to the Inbox screen to see your incoming DMs, comments and mentions in one list. Connect an account first if the inbox is empty — see the Telegram page.

Draft a reply with AI

Pick a message and ask AI for a reply in your brand voice. Review it, then send. For Telegram the reply goes out directly; for other networks the draft is saved so you can send it yourself.

Tag products in a post

On the Shop screen, import your product list once, then let AI suggest which products to tag in an image.

Get cited by AI assistants

On the AEO screen, write content around a topic, then run a check to see if AI assistants mention your brand.

TIP

AI replies, product tagging and AEO use credits. See Credits for how the balance works.

For developers

All endpoints are workspace-scoped and require an authenticated session; metered AI actions debit the workspace ai_credits counter.

Unified Inbox

Inbound DMs, comments, and mentions from connected networks land in one queue, backed by the InboundMessage model (/inbox page). Each item carries network, kind (dm / comment / mention), thread_id, author_*, the raw text, and a status (open → drafted → replied / handled / hidden). Items are deduplicated per workspace + network by their source external_id.

Two ingest paths are shipped:

• Real Telegram sync — POST /engage/telegram/sync calls getUpdates on every connected Telegram bot for the user and ingests new message / channel_post updates. Private chats become dm, group/channel posts become comment.
• Generic ingest — POST /engage/ingest accepts a single inbound item from any source (network and text required).

POST /engage/:id/draft generates a concise, on-brand reply using the workspace Brand DNA voice and stores it on ai_draft. Where the network API supports sending, POST /engage/:id/reply posts the reply back — Telegram delivery is wired today (via the connected bot token + thread_id); for other networks the draft is saved and the item is marked replied for manual sending.

Method	Endpoint	Purpose	Cost
GET	/engage/inbox?status=	List inbound items (newest first, max 200)	—
POST	/engage/ingest	Ingest one inbound item (network, text required)	—
POST	/engage/telegram/sync	Pull new updates from connected Telegram bots	—
POST	/engage/:id/draft	AI brand-voiced reply draft	1 credit
POST	/engage/:id/reply	Send reply where API allows (Telegram today)	—
POST	/engage/:id/status	Set status (open/drafted/replied/handled/hidden)	—

Ad-Comment Guard

On ingest, every non-DM item (comments and mentions) is run through the fail-closed Brand-Safety service. If the safety check fails — or the check itself errors — the item is flagged: safety_flagged: true with a safety_score. Failing closed means a guard outage never silently lets an unsafe ad comment through; flagged items surface in the inbox for review and can be hidden.

Shoppable Composer

Import a product catalog, then let Qevron vision match products that appear in an image and suggest per-network-compliant tags (/shop page).

• POST /shop/import — import from inline CSV or JSON array text, or a feed URL (fetched safely, JSON or CSV). Rows upsert into the catalog by external_id (or title); the response returns imported / updated counts. Up to 5 000 rows per import.
• POST /shop/suggest-tags — describe the image with Qevron vision, match it against catalog titles, and return the products to tag, capped to the network's limit.

Network value	Tag limit
instagram_image	5
instagram_carousel	20
tiktok	10
facebook	30
(default)	5

suggest-tags requires imageUrl or imageFileId and a non-empty catalog; it costs 2 credits.

AEO Authoring + Citation Radar

Answer-Engine Optimization authors assets engineered to be cited by AI answer engines (/aeo page).

• POST /ai/aeo/generate — produce one of three asset kinds for a topic / targetQuery: comparison (markdown comparison table + verdict), faq (6–8 structured Q/A pairs), or answer (a fact-dense, quotable 120–180-word answer). Each asset ships with schema.org JSON-LD (FAQPage for FAQ, otherwise Article) and an llms.txt snippet. Output uses the Brand DNA voice. Costs 5 credits.
• POST /ai/aeo/citation-check — Citation Radar asks the model your query the way an answer engine would, then reports whether your brand was named and how prominently: prominence is high when the brand ranks in the top 3 of cited brands, low if cited lower, none if absent. The full brandsMentioned list and the model's answer are returned. Costs 2 credits.

Related

AI Overview

Credits

Telegram