Competitive Intelligence That Acts On Itself
"What does Beekeeper say about AI?" "Where are we losing in search?" "What changed at Workvivo this week?" "What should we be writing about?" — Mango IQ Agent answers all of it, grounded in the canonical Ci* data layer (competitor profiles, threat scores, keyword rankings, change events, intel notes). 8 risky writes turn intelligence into action items, digests, and battle-card updates — all confirmation-gated. MangoApps's own GTM intelligence, dogfooded.
Why Competitive Intel Stays A Slide Deck Nobody Reads
Mango IQ Agent attacks all four — daily-refreshed battle cards, keyword + content gaps surfaced in chat, change events flagged the moment they're detected, and digests / action items written to the canonical CiActionItem table with audit-traceable provenance.
Battle Cards Are Written Quarterly And Stale By Week Six
The Q1 Beekeeper card had three killer questions. By March, Beekeeper has shipped an AI relaunch, two pricing tiers, and a new integration — and the card still talks about read receipts. Sales stops trusting the card; CI stops getting feedback; the loop dies.
"What Should We Write About?" Is A Marketing Workshop Question
Content gaps live in a SEO tool, competitor pages live in a crawl tool, keyword volume lives in a third. Marketing assembles the answer by hand in a six-hour workshop once a quarter — and the answer ages the moment it's published.
Competitive Moves Get Spotted After The Damage Is Done
Beekeeper repositioned the homepage to "AI for Frontline" three weeks ago. Three SDRs lost deals to that messaging before the CI team noticed. The signal was on Beekeeper's homepage the whole time; nobody had a system that surfaced it.
Briefings And Digests Get Generated In A Doc, Then Disappear
The weekly competitive briefing was a Notion page. Nobody read it. The monthly digest was an email. It got archived. Without action items attached to a canonical record, the intelligence never converts into anything anyone does.
Win/Loss Themes Get Captured In Tickets, Not In The Battle Card
Three deals in a row mentioned the same competitor objection in their loss notes. The CI team would have updated the battle card if they'd seen the pattern — but the notes live in CRM, the battle card lives in the wiki, and nobody is running the join. The next rep walks into the same objection unprepared because the loop never closed.
SEO And Content Gaps Get Discovered After The Quarterly Audit
A competitor publishes a comparison page targeting your top three branded keywords. Your rankings drop over six weeks. The marketing team finds out at the quarterly SEO review, by which point the competitor has 4 weeks of compounding traffic from your prospects. A daily-refreshed gap list would have caught it the day the page went live.
Mango IQ Agent At A Glance
Mango IQ AI
Competitor profiles, keyword gaps, change events, briefings, intel capture.
Inside Mango IQ Agent — The Actual Capabilities
Every block below maps to a real tool the agent calls against the canonical Ci* data layer — CiCompetitor, CiCompetitorProfile, CiPage / CiPageAnalysis, CiKeywordRanking, CiChangeEvent, CiActionItem, CiContentGap, CiMarketTheme. 27 reads cover semantic search, threat scoring, SEO comparison, briefings. 8 writes — add intel note, acknowledge change events, generate digests / action items / drafts, publish drafts — all confirmation-gated.
Competitor Profiles, Threat Scores, And Battle Cards That Stay Fresh
The agent returns the full competitor profile — positioning, differentiators, strengths, weaknesses, battle card, and the vs-MangoApps analysis (they-cover-we-don't, win themes). Same chat, the threat assessment — threat score, key battlegrounds, predicted next moves — grounded in the latest crawl + intel data, not last quarter's deck.
- Competitor profile via get_competitor_profile — positioning, battle card, win themes, killer questions, next-moves prediction.
- Threat assessment via get_threat_assessment — threat score, components, key battlegrounds.
- List + compare via list_competitors + compare_competitors — filterable by category, stance (displace / co_exist / monitor / ignore).
- Semantic search via search_competitor_pages — embedding-based search across crawled competitor content.
Keyword Gaps, Content Gaps, And Share-Of-Search
The killer question — "what should we be writing about?" — answered in chat. The agent finds high-volume keywords where 2+ competitors rank in the top 20 but our domain doesn't rank at all, surfaces content gaps where competitors cover topics we don't, and reports share-of-search for any topic across the competitive set.
- Keyword gaps via find_keyword_gaps — high-volume terms where 2+ competitors rank, we don't, ordered by search volume.
- Content gaps via search_content_gaps — topics competitors cover, filterable by priority / type / keyword.
- Share-of-search via get_share_of_search — which competitor captures the most search traffic for any topic.
- SEO snapshot + top keywords via get_competitor_seo_snapshot + get_competitor_top_keywords — domain-level traffic, trend, ranked keywords.
Change Events — Spot Competitive Moves The Day They Happen
Every new page, positioning shift, content change, or gap escalation across the competitive set lands in the CiChangeEvent feed — ranked by significance and strategy relevance. The agent surfaces the unreviewed ones, generates a strategic response playbook on demand, and records the acknowledgement back to the canonical record.
- Recent change events via get_recent_change_events — by competitor, significance, or event type.
- Full detail + playbook via get_change_event_details + generate_change_event_playbook (RISKY · gated).
- Acknowledge via acknowledge_change_event — moves the event out of unreviewed (RISKY · gated).
- SEO ingestion order respected — the agent reads only after link_rankings_to_pages! has populated ci_page_id; no stale joins.
Briefings, Digests, And Action Items — Intel Turned Into Doing
The agent generates focused briefings on a topic or competitor (audience-aware: executive / sales / product / marketing), queues weekly or monthly digests, generates action items from current intelligence, and lets reps add human intel notes that flow into the next analysis cycle. Every write writes back to the canonical action-item / digest / intel-note tables.
- Generate briefing via generate_briefing — focused brief for executive, sales, product, or marketing audience.
- Add intel note via add_intel_note — capture sales-call intel, win/loss, corrections, market intel (RISKY · gated).
- Generate / publish action items via generate_action_items + generate_action_item_draft + publish_action_item_draft (all RISKY · gated).
- Generate digests via generate_digest — weekly / monthly / ad-hoc, with strategy relevance baked in (RISKY · gated).
Outcomes GTM Teams Can Measure
The agent's job is to make competitive intelligence operational — not a slide deck, an action queue. Measure against your pre-agent baseline before drawing conclusions.
- Time-to-detection on competitive moves — days from a competitor change event being crawled to it being acknowledged + acted on.
- Battle-card freshness — share of competitors whose profile was refreshed in the last 14 days vs the quarterly cadence baseline.
- Win-rate against named competitor — does CI-grounded outbound + briefings move the win rate on specific competitors?
- Content gap coverage — share of high-priority CiContentGap rows that converted into published pages or campaigns.
- SDR briefing usage — share of reps pulling competitor briefings in the week before a discovery call.
8 Risky Writes, Every One Confirmation-Gated · Canonical-Source Pattern
Mango IQ Agent has 8 risky writes — adding an intel note, acknowledging a change event, generating a playbook, queuing a digest, generating action items, updating an action-item status, generating an action-item draft, publishing a draft. Every one requires explicit user confirmation. All tools are thin wrappers around the canonical Ci* services — never a parallel data layer.
- 8 risky write tools — add_intel_note, acknowledge_change_event, generate_change_event_playbook, generate_digest, generate_action_items, update_action_item_status, generate_action_item_draft, publish_action_item_draft — all confirmation-gated.
- Canonical-source pattern — every tool wraps the same CompetitiveIntelligence services and Ci* models the app uses; no duplicated data layer.
- ActionItemGenerator dedup respected — every action-item write goes through find_or_initialize_by(business_id, source_type, source_id) with active dedup; no doubled action items.
- Permission-aware — Mango IQ is super-admin scoped (it's MangoApps's own GTM intelligence); the agent enforces the same scope.
- Audit trail on every action — read or write, every tool call logs the requesting user, the tool, and the parameters, attached to the Ci* record.
WHAT TEAMS TRY INSTEAD
The four alternatives — and why none of them turn intel into action your reps actually take
Most product marketers and competitive-intel leaders reach for one of these four. None of them stick because none of them tie change events to a dedup'd action-item queue your sales floor will actually work.
ChatGPT or Claude deep research on a competitor
General-purpose AI doing one-shot research
- Runs on a continuous change-detection cadence — not a one-shot research session
- Acknowledges, dedups, and generates playbooks for change events — not just a transcript
- Pushes action items directly into the GTM action queue with the canonical source attached
Crayon AI, Klue AI, Aomni
Vendor-trapped AI inside a competitive-intel platform
- Single tenant boundary with your own GTM data — not a third-party crawler with shared corpus
- Action items dedup'd against the existing GTM action queue — no separate battlecard portal nobody opens
- Open canonical-source pattern (Ci* models) — extend with new signals without waiting on a vendor roadmap
A custom intel build with a scraper + RAG
Engineering's "competitive-intel platform" project
- Already shipped — no scraper to maintain, no robots.txt churn, no eval pipeline to keep current
- Plays cleanly with the GTM Agent's action queue — one set of action items, not two parallel queues
- Confirmation-gated writes and audit trail mean intel work isn't a black box engineering owns
The manual fallback — "the PMM emails a competitor digest"
A monthly intel email and a Slack channel
- Generates the digest automatically — and converts it into action items the GTM team picks up
- Catches change events the day they happen, not in next month's roundup
- Standardizes the playbook so every competitor change has a documented response motion
PLATFORM LEVERAGE
Mango IQ Agent inherits everything the platform already runs
A standalone CI platform has to plumb each of these. The agent gets them for free because the platform already does.
Canonical Ci* models
Wraps the same CompetitiveIntelligence services the app uses — no parallel rules, no drift between the agent and the intel of record.
ActionItemGenerator dedup
Every action-item write goes through find_or_initialize_by source_type + source_id — no doubled tickets, no duplicate playbook generation.
GTM Agent handoff
Action items land in the same queue the GTM Agent works — intel → outreach without copy-paste, without a second portal.
Confirmation-gated writes
Every write tool (note, ack, playbook, digest, action item, draft) requires explicit confirmation — no autonomous publishing of competitor commentary.
Audit trail & retention
Every read and write lands in AiApiLog tied to the Ci* record — the intel team can defend every claim end-to-end.
RubyLLM-grounded model tiering
Nano / small / medium / standard / very-large tier selection routes routine acks to cheap models and reserves the big ones for playbook generation — automatically, per call.
INDUSTRY FIT
Industries where embedded competitive intel moves the most weight
Mango IQ Agent matters most where the competitive ground shifts weekly and the sales floor needs the response by tomorrow morning.
B2B SaaS
Tracks pricing-page edits, positioning shifts, and feature launches across 30+ competitors and converts each into a reps-can-use playbook in hours.
B2B Services & Agencies
Surfaces practice-area positioning shifts so business development isn't sandbagged by a competitor's new vertical case study.
Subscription Commerce
Watches plan changes, free-tier moves, and trial mechanics — the competitive levers that move conversion week to week.
Financial Services
Tags every intel claim and every action item with source URL, captured-at timestamp, and version so compliance can defend the briefing.
Manufacturing & Industrial Tech
Tracks distributor / channel-partner shifts a CI vendor's SaaS-leaning crawler usually misses entirely.
EdTech & Public Sector
Runs entirely inside FedRAMP-eligible deployment options with full audit logging — no intel data leaving the tenant boundary.
WHY MANGOAPPS WINS
An embedded intel agent beats a chatbot, a CI-platform add-on, or a custom build on every axis
The argument PMM, RevOps, CRO, and finance all share — and the one a horizontal AI or single-vendor CI tool structurally cannot answer.
Cheaper than the alternatives
No Crayon or Klue seat, no per-seat ChatGPT deep-research add-on, no six-month custom scraper, no extra PMM headcount to run the intel program.
More secure
Every read and write logs to AiApiLog with the same retention as the rest of the platform. Your GTM signal stays inside the tenant boundary.
Easier to deploy
Already deployed if Mango IQ is enabled. Turn the agent on, point it at the canonical Ci* tracking list, and it's running the same day.
Easier to use
Lives in chat and inside the IQ surface — no separate battlecard portal, no SharePoint folder, no CI email forwarded once a month.
Easier to manage
Per-business confirmation gates, write-tool toggles, and audit retention sit in the same admin console as every other app's settings.
Easier to extend
Shares the agentic tool framework with every other MangoApps agent. New signal sources and new playbook formats ship as tools, not rewrites.
AI is actually better
A horizontal or CI-platform AI can summarize a competitor page. Only Mango IQ Agent can also dedup it into a GTM action item the reps actually work — under one audit log.
At our head office within HR, marketing, and finance, we use ChatGPT quite a bit, and MangoApps AI Helper is a useful tool for us. As I go around to the stores, I’ve been showing them how the AI Intranet Helper can find things and answer plain language questions about our resources, and they’re quite excited about that.
Alison van Zijl
Head of Human Resources
Full House
Customer Success
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Frequently Asked Questions About Mango IQ Agent
35 tools across the competitive intelligence surface — profile competitors, get threat assessments, compare competitors, semantic-search competitor pages, find content + keyword gaps, get market themes, get the feature matrix, list + ack change events, generate briefings (audience-aware), generate / update / publish action items (gated), generate digests (gated), add intel notes (gated), and a full SEO sub-surface — top keywords, share-of-search, traffic trend, position comparison.
Mango IQ is MangoApps's own competitive intelligence system — currently in dogfooding mode. The agent operates on MangoApps's GTM data (competitors we track, our own SEO, our own content gaps). The roadmap (Prospecting Agent + Product Advisor fold-in) keeps the same canonical Ci* sources and extends them outbound + inbound.
No. The 8 risky tools (add_intel_note, acknowledge_change_event, generate_change_event_playbook, generate_digest, generate_action_items, update_action_item_status, generate_action_item_draft, publish_action_item_draft) all require explicit user confirmation before the agent runs them. The other 27 tools are read-only.
The Ci* data layer is refreshed continuously — page crawls, SEO snapshots, weekly keyword ranking ingestion, change-event detection on every crawl, threat-score recomputation on profile refresh. The agent reads whatever the canonical layer has — typically same-day for page crawls, weekly for SEO snapshots.
Time-to-detection on competitive moves, battle-card freshness, win-rate against named competitors, content gap coverage, and SDR briefing usage. Compare against your pre-agent baseline.
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