EchoRanked
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Set an AI-visibility goal. The operator plans the work.

Measurement tells you where you stand. A campaign is where you're going: a share-of-voice target over the prompts that matter. Each cycle, the operator proposes the actions to get there — and drafts them — while you keep the final say.

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7 days free · 2 full scans across 3 AI engines · 10 tracked prompts

How we measure it
  • AI visibility
  • Prompt tracking
  • Content Agent
  • Readiness
  • Campaigns
  • Analytics

How campaigns work

A planner that works your goal, on your leash.

Goal-driven optimization with the same honesty as the rest of EchoRanked — and a hard line at ship time.

Set a goal, not a dashboard

Pick the prompts that matter and a share-of-voice target with a date. That's a campaign — a destination the whole loop steers toward.

The operator plans each cycle

After every scan, the operator measures your progress and proposes the next actions to close the gap — content to draft, readiness fixes to open — ranked by expected impact.

Progress you can trust

A goal only counts as met when the whole confidence band clears your target — not when a single lucky run happens to touch it. Honest error bars, applied to your goal.

It learns what worked

Movement in your share is attributed back to the actions you actually shipped last cycle, so the plan gets smarter instead of guessing in the dark.

Steer

Set a goal. The operator drafts the plan. You approve.

Pick the questions you want to win and how often you want AI to recommend you. After each scan the operator checks your progress, works out which of your last fixes actually helped, and proposes what to do next — with the gain it expects from each move. Nothing runs until you approve it.

“best crm for startups” + 4 prompts

campaign goal · reach 60% share of voice

On track
now 41% ± 9target 60%

Operator’s plan · proposed for cycle 4

  • ContentDraft the “best crm for startups” buyer’s guide

    you’re in 0 of 4 answers here; rival.com is in all 4

    +6

    exp. share

    ApproveDismiss
  • OptimizeRewrite /pricing answer-first so it’s quotable

    the page ranks but AI Overviews never quote it

    +3

    exp. share

    ApproveDismiss
  • Fix PRPublish llms.txt and add Product JSON-LD

    two readiness checks are failing

    +2

    exp. share

    ApproveDismiss

the operator proposes · you approve · nothing runs on its own

Last cycle · what moved

▲ 7share · band ±2

measured across the same prompts, same engines

  • llms.txt fix merged+4
  • content: CRM migration guide+3
  • outreach draftawaiting you

movement credited to the actions you actually shipped

  • You set the target

    How often you want to be recommended, on the questions you pick.

  • Proposes, never runs

    Every move waits for your approval.

  • Expected gain, upfront

    What each move should be worth, before you commit.

  • Credit where it’s due

    Movement traced back to what you actually shipped.

Why it’s different

A dashboard shows you the gap. A campaign closes it.

Most tools hand you charts and wish you luck. A campaign turns a share-of-voice goal into a plan the operator works every cycle — and drafts — while you keep the final say.

  • The unit of work

    A visibility dashboard: Charts you have to interpret
    EchoRanked campaigns: A goal, with a target and a date

  • Next step

    A visibility dashboard: You decide what to do
    EchoRanked campaigns: The operator proposes ranked actions

  • The work

    A visibility dashboard: You draft all of it
    EchoRanked campaigns: It drafts the content for you

  • Goal met when

    A visibility dashboard: A line happens to touch the target
    EchoRanked campaigns: The whole band clears the target

  • Learning

    A visibility dashboard: Static month-over-month reports
    EchoRanked campaigns: Movement attributed to what you shipped

Questions

Questions, answered straight.

Is this fully autonomous, hands-off AI marketing?

No — and we're deliberate about that. The operator plans and drafts the work; you approve and ship it. Even on its most autonomous setting it only queues drafts and proposals — it never publishes content or merges code on its own.

What exactly is a campaign?

A share-of-voice goal over a set of prompts you choose, with a target and a date. The operator then works that goal every cycle, and your boosted sampling is spent on those goal prompts first for a tighter read.

How does it know whether it's working?

Each cycle it recomputes goal progress — requiring the whole Wilson band to clear the target — and attributes any change in your share to the actions shipped in the prior cycle, with a guard against reading noise as signal.

What are the autonomy levels?

Three: suggest (it proposes, you do everything), approve-each (it drafts and queues, you approve every action), and autonomous (it queues the work automatically). All three stop at drafts and proposals — publishing and merging always stay with you.

Explore more

Related features

Content AgentDraft answer-first content that AI engines cite.LLM ReadinessGrade your site the way a language model reads it.AI Visibility TrackingSee where AI answers cite you — and where they don't.

Get started

Give your AI visibility a target.

Start a free trial to see where you stand, then set a campaign goal and let the operator plan the path.

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every number ships with its confidence band and measurement surface