agented.now

Managed competitive intelligence · access by request

See what your market says in LinkedIn ads. Then out-position it.

A research service for marketing and sales teams. Tell us the market you’re fighting for — get back market maps, competitor battlecards, page strategy, and ready-to-send outreach, built from LinkedIn’s official ad data. No tools to learn, no dashboards to maintain.

Official Ad Library data·No scraping, no private metrics·Every claim links to its source

You ask in plain language. The service returns finished work — ResearchStrategyPipeline.

The problem

Competitive research is slow, scattered, and easy to argue with.

By the time the deck is done, the market has moved — and nobody can say where half the claims came from.

Hours lost in the ad library

Scrolling competitor ads one by one, screenshotting into slides — with no way to see the patterns across hundreds of records.

Opinions without evidence

Positioning debates settled by the loudest voice in the room, because nobody can point to what buyers are actually being shown.

Research that never ships

Summaries and decks that explain the market but never turn into pages, campaigns, or outreach your team can act on.

The service

Ask for an outcome. Get finished work.

There’s no tool to operate and nothing to configure. You bring the question about your market; the service returns assets your team can use the same day — every claim linked to its source.

01 You ask

The market, the competitor, or the decision on your desk — in plain language, the way you’d brief a colleague.

02 Evidence is gathered

Official LinkedIn ad records and public competitor pages. Nothing scraped, nothing guessed, nothing private.

03 The market is read

Claims, offers, and formats get clustered so you can see what’s saturated, what’s crowded, and where the opening is.

04 You receive the work

Battlecards, page briefs, campaign concepts, prospect lists — finished, source-linked, and ready to hand to your team.

A real audit, replayed

Real company. Real records. Watch an audit happen.

In June 2026 the service audited the public LinkedIn ads of Gong, the revenue-intelligence platform — using only official Ad Library records. Step through what it found.

advertiser: Gong · payer shown: Gong.io Inc. · scope: worldwide · niche: revenue intelligence

Gong · sponsored updaterecord 1435381953
Gong · sponsored updaterecord 1435352453
Gong · sponsored updaterecord 1435263053
Gong · sponsored updaterecord 1435263063
Gong · sponsored updaterecord 1435332703
Gong · sponsored updaterecord 1435213193

8 visible ads found in the revenue & sales scan · 6 official records reviewed in detail

Replayed from an actual research run (June 14, 2026) built only from official LinkedIn Ad Library records — advertiser: Gong; payer shown: Gong.io Inc. Impression ranges are LinkedIn’s official directional ranges, and strategic reads are labeled as interpretation. Gong is not a client; this is what the service produces from public data alone.

The deliverable

The report your team works from.

The audit becomes this: a working brief your team uses to sharpen positioning, brief the web team on new pages, and launch the next LinkedIn campaigns. This is the actual Gong brief — browse it.

LinkedIn Revenue Signal Brief — Gong June 14, 2026 · 6 official records · evidence-linked

Gong runs a strong, repeated AI-agent campaign — but one promise is doing the work of four different buyers.

What the evidence shows
  • The same promise — “Your team sells. AI agents do the rest.” — repeats across the reviewed records, all pointing to one demo CTA.
  • Reviewed records show official impression ranges of 1,000–5,000 — enough delivery to justify optimizing the message, not rebuilding it.
  • LinkedIn exposes language, location (incl. Israel), audience, company & job facets on reviewed records — enough to discuss audience fit in the open.
The opportunity

Keep the promise — split the proof. Give CROs, RevOps, frontline managers, and AEs each their own proof path and next step, instead of one demo CTA for everyone.

Decide first: which revenue role should the AI-agent message convert first? Everything in this brief — pages, offers, and tests — sequences from that answer.
prospect fit 100/100 8 visible ads 6 records reviewed confidence: high
What the service can do

Eleven capabilities. One promise: evidence → decision → asset.

Every capability starts from real market evidence and ends in something your team can use. Pick one to see what it delivers.

Research

Research Intake

Turns a vague request — “look into our competitors” — into a structured research plan without twenty back-and-forth questions. The service captures your market, competitors, countries, and the decision at stake, then proceeds with clearly labeled assumptions.

  • Your market & category, captured
  • Proposed research angles
  • Assumptions, clearly labeled
  • A plan with next questions to answer
Use cases

Built for the moments that decide quarters.

Entering a new market

You’re launching into a category where incumbents already spend. The service maps who says what, where the message is saturated, and which angle is still open — then sequences your entry step by step.

market map · entry blueprint · launch sequence

Losing deals to one competitor

Sales keeps hearing the same name in every deal. The service builds a battlecard from that competitor’s actual ads and pages: their claims, their weak points, and the counter-story your team should tell.

battlecard · talk tracks · counter-positioning

Planning next quarter’s campaigns

Instead of brainstorming in a vacuum, start from what buyers already see. The service finds the underused angles in your category and drafts original concepts, posts, and page briefs around them.

campaign concepts · post & ad pack · page briefs

Filling the sales pipeline

The service finds companies whose ad activity signals a need your team can solve, and packages each one for outreach — the evidence, the likely pain, and the first message to send.

prospect cards · first messages · follow-up plan

Behind the scenes

Simple on the surface. Coordinated underneath.

The service feels like asking a sharp colleague. Behind the scenes, our internal MCP-app — the engine we built for this service — coordinates every step the answer depends on, so you get outcomes without touching the machinery.

What you see

who should sales contact this week?

prospect cards ×12 first messages drafted follow-up sequence

A question in plain language. Finished, source-linked work back.

What happens underneath
  • queries LinkedIn’s official Ad Library records
  • pulls targeting categories and market statistics
  • reads the competitors’ public pages
  • saves the evidence with every source URL
  • assembles the deliverable — facts separated from interpretation

The internal MCP-app coordinates each step — and keeps the service flexible as your questions change.

Why you can trust it

Honest by design.

Intelligence you can defend in front of your board. Strict evidence rules apply to everything the service produces — recommendations stand on official data, not guesswork dressed up as insight.

Official sources only

LinkedIn’s documented Ad Library data and public web pages. No scraping, no gray-area data.

Facts vs. interpretation

Official records are evidence. Strategic reads are labeled as interpretation — never mixed together.

Directional, not inflated

Impression ranges are treated as directional signals, never presented as exact performance data.

Source trails everywhere

Searches, filters, date ranges, advertisers, and URLs are recorded with every deliverable.

What you walk away with

Assets your team can use the same day.

Every engagement ends in finished work, not summaries — each piece source-linked and ready to hand to marketing, sales, or your web team.

Market mapsClusters, saturation, whitespace
Competitor battlecardsClaims, weaknesses, counter-plays
Landing-page briefsPage maps, hero copy, wireframes
SEO/AEO page mapsComparison, use-case, answer pages
Post & ad packsOriginal hooks, copy, carousels
Prospect pipelinesNamed accounts, links, messages
Strategy dashboardsVisual command centers
Executive reportsFindings, test plans, roadmaps
Access by request

This one isn’t self-serve. On purpose.

LinkedIn Ad Intelligence runs as a managed service, and we onboard every client personally. Tell us what you want to research, and we’ll review your request and reply with next steps if it’s a fit.

  1. Tell us about your marketThe category you compete in, the competitors you care about, and the decision you’re trying to make.
  2. We review every requestPersonally — no automated approvals. Expect a reply within a few days.
  3. We set up your serviceIf it’s a fit, we tailor the service to your market and run the first research together with you.

We keep the client group small so every engagement gets real attention and the service stays fast.

Map your market

A few details so we can review your request properly.

Request received.

We review every request personally and will reply with next steps if it’s a fit — usually within a few days.

Questions

Fast answers.

Where does the data come from?

LinkedIn’s official Ad Library data and public web pages. The service doesn’t scrape LinkedIn and only uses information the official records expose.

Do I need to install or learn anything?

No. We set the service up around your market and run the first research together with you. After that, you ask questions in plain language and receive finished deliverables — the technical work happens behind the scenes.

What powers the service?

An internal MCP-app we built and operate — the engine that queries LinkedIn’s official Ad Library, keeps source trails, organizes the evidence, and assembles your deliverables. You never have to touch it; it’s what keeps the service fast, reliable, and flexible as your questions change.

Why is access by request?

It’s a powerful competitive-research service, and we onboard every client personally. A small client group keeps the service fast and the guidance real.

Does it show ad performance?

No private metrics. Official impression ranges are directional signals, and the service labels every strategic read as interpretation — not fact.

Will it copy competitor ads?

Never. Creative output is original. Market evidence informs the strategy; competitor text is analyzed, not reused.

How fast will I hear back?

Requests are reviewed personally, usually within a few days. If it’s a fit, the reply includes next steps and setup details.

Ready to see your market clearly?

Tell us the market you’re fighting for. We’ll review your request personally, set the service up around it, and run the first research together with you.