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AI agents

AI agents are analytical helpers that go over your data on a schedule and drop cards on the board. Each agent owns a kind of observation: one watches competitors, another sentiment, a third sources. Every agent can be turned on or off independently.

How agents work

Once a day agents reprocess your company's data: queries, answers, mentions, sentiment, link sources, ads. Each agent looks for its pattern and, if found, creates a card in the Idea column with the observation and a recommendation.

You don't have to dig through charts every day. Open the board and see what the agents put up overnight.

Agent list with toggles and short descriptions for each.

Available agents

Fifteen agents run on the platform today. They split into four groups by the kind of observation:

Spotting gaps and opportunities

  • Content gaps. Queries where you have almost no visibility while competitors do. Drops in an article or guide idea on the topic.
  • White space. Topics where AI services don't yet have a confident answer. A chance to be first and anchor as the source.
  • Cross-query leverage. One piece that can cover several similar queries at once. A way to lift a whole direction with a single publication.
  • Category weakness. A whole query category where you trail noticeably. Recommends a series of materials rather than one.

Tracking competitors

  • Competitor wins. Specific queries where competitors beat you in mentions. Highlights which of their materials are working.
  • Competitor surge. A sharp jump in mentions for a particular competitor. Catches active campaigns so you can respond.
  • Branded vs generic. Compares how you're mentioned in branded queries vs generic ones. Flags where overall awareness is weak.

Reputation and sentiment

  • Negative sentiment. Queries where AI services answer negatively about you. Time to dig into the source.
  • Reputation risk. Negative wording appearing in AI answers. Suggests preparing a clarifying or rebuttal piece.
  • Citation decay. Sources that used to cite you often have slowed down. A signal to revisit and refresh the material.
  • Low visibility. Sharp drop in overall Brand Mention Rate. The card gathers possible reasons.
  • BMR regression. Slow decline of mentions over a longer period. Surfaces gradual trends that are easy to miss.
  • Near miss. Queries where you were almost mentioned but didn't land a direct citation. A small piece often closes the gap.

Sources and AI services

  • Source outreach. Outlets AI cites often on your topics that don't yet cover you. Candidates for partnership or placement.
  • Provider gap. A specific AI service where you appear noticeably less than in others. A signal to invest there separately.
A card created by an agent with the Analytics tab prefilled.

What can be configured

Each account has shared Factory settings that influence which cards agents create:

  • Competitors. Companies agents compare you against. Same competitors as in the main analytics.
  • Tone. Desired tone of voice for the materials: expert, friendly, neutral. Shapes wording in briefs and generated text.
  • Content. Preferred formats and length. You can turn off formats you don't use.
  • Geography. Regions agents look at. Important when you operate across countries or have sharply different markets by city.
  • Images. Templates and parameters for generating article cover images.

Turning agents on and off

Every agent has a toggle in Factory settings. A disabled agent doesn't create cards or consume compute. Useful when a kind of observation isn't a priority right now.

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