All other tools (21)
peec-ai.archive_brands medium conf mediumaudit
Takes brands out of active tracking, so competitor coverage quietly stops accruing while historical data is retained.
peec-ai.archive_prompts medium conf mediumaudit
Stops a prompt from being run against AI engines, creating gaps in the visibility time series without any deletion signal.
peec-ai.assign_domain_classification medium conf mediumaudit
Relabels a citation source domain, which changes how retrieval and citation credit is bucketed in every domain-level report.
peec-ai.assign_url_classification low conf mediumallow
Relabels a single source URL, adjusting where its citations are counted in page-level reporting.
peec-ai.create_attribute_cluster low conf mediumallow
Defines a new attribute grouping used to score how AI engines describe the brand against competitors.
peec-ai.create_brands low conf mediumallow
Adds brands to a project's tracked set, widening competitive monitoring scope and the data volume the project collects.
peec-ai.create_domain_classification low conf mediumallow
Adds a custom bucket for grouping citation source domains in reporting.
peec-ai.create_facts low conf mediumallow
Adds fact-check records that AI answers are scored against, expanding the accuracy checks reported on the brand.
peec-ai.create_prompts medium conf mediumaudit
Adds prompts that are executed against paid AI engines on a recurring schedule, increasing both monitored surface and consumption against plan limits.
peec-ai.delete_facts medium conf mediumaudit
Removes fact-checking records, dropping the accuracy claims Peec measures AI answers against until someone recreates them.
peec-ai.finalize_prompt_suggestions medium conf mediumaudit
Promotes machine-generated suggestions into live tracked prompts or discards them, committing recurring AI engine spend without human review of the wording.
peec-ai.generate_prompt_suggestions medium conf mediumaudit
Kicks off a model-driven generation run that proposes the prompts steering what the monitoring system asks AI engines, consuming generation quota.
peec-ai.generate_topics medium conf mediumaudit
Runs model-driven topic generation that reshapes how prompts and reporting are grouped for the entire project.
peec-ai.get_agent_visits low conf mediumallow
Returns aggregate crawler visit counts derived from web server access logs, revealing which AI bots are reading the site and how often.
peec-ai.get_url_content medium conf mediumaudit
Loads scraped third-party page content straight into the agent's context, an untrusted-input path that can carry instructions the agent then acts on.
peec-ai.list_chats medium conf mediumaudit
Bulk-reads the raw AI engine answers collected over a date range, exposing the full competitive-intelligence corpus a project has accumulated.
peec-ai.update_brands low conf mediumallow
Changes brand naming and matching properties, which shifts how mentions are attributed in subsequent visibility reports.
peec-ai.update_domain_classification medium conf mediumaudit
Redefines an existing domain bucket, retroactively shifting how source attribution appears in historical citation reporting.
peec-ai.update_facts low conf mediumallow
Edits the claim a fact-check is evaluated against, changing which AI answers count as accurate in later reporting.
peec-ai.update_project_profile medium conf mediumaudit
Rewrites the brand profile that drives perception analysis and prompt generation across the whole project, altering downstream analytics for every user.
peec-ai.update_prompts medium conf mediumaudit
Rewrites the wording or scope of a tracked prompt mid-series, making before-and-after visibility numbers no longer comparable.