SEO & GEO growth · Use case

Publishing is the start. This keeps the page winning.

OpenHelm monitors how your live pages perform in search and in AI answers, diagnoses the ones that slip, and ships data-driven refreshes on a schedule, updated facts, new sections, better internal links, with your sign-off on every change. The third stage of the loop that starts with research.

Always-on, measured against a real baseline
Position watch
AI-answer check
Refresh proposals
Ship updates
Watch our published pages and refresh the ones starting to slip.

now

Tracked rankings + AI citations across 60 pages
Flagged 7 pages decaying, 3 newly winnable· this week
Drafted refreshes with the changes diffed
Updates queued for your approval
Where shall we steer?
Always-on

Already in production with

Camio logoSmoothie Wars logoSummited logoAcademic Edge Tuition logoKicks Therapy logoCamio logoSmoothie Wars logoSummited logoAcademic Edge Tuition logoKicks Therapy logo

What it does

The work that keeps rankings, after everyone else stops.

It watches what actually happened

Real position, impression and click data from Search Console, tracked per page over time, so decay and momentum are measured, not guessed.

It tracks the AI answers too

We re-check whether ChatGPT, Perplexity, Google AI Overviews and Claude still cite you for your target questions, and flag when a competitor takes the citation.

It diagnoses why a page slipped

Stale facts, a new competitor, intent drift, thin coverage, a lost featured snippet, each flagged page comes with a reason and a recommended fix, not just a red arrow.

It proposes the refresh as a diff

Updated stats, a new section to answer an emerging question, tighter internal links, retuned structured data, drafted and shown as a change you can review.

It ships back into your stack

Approved refreshes go out the same way new content does, a PR to your repo, or an update to the WordPress or Shopify post, with the revision history intact.

It reports in plain numbers

A regular digest of what moved: pages refreshed, positions gained, citations won or lost, and what is queued next, so the programme is accountable, not a black box.

How it works

Baseline, monitor, refresh, measure, repeat.

  1. 1

    Baseline every live page

    We snapshot current rankings, clicks and AI-answer citations for each published page so future change is measured against a real starting point.

  2. 2

    Monitor on a schedule

    On a cadence you set, the agent re-checks performance, surfaces pages that are decaying or newly winnable, and explains why.

  3. 3

    Propose data-driven refreshes

    For each flagged page it drafts the specific update, new facts, sections, links or schema, and presents it as a reviewable diff with the rationale.

  4. 4

    Approve, ship, measure

    You sign off, it publishes through your stack, and the next cycle measures the impact, closing the loop and prioritising what to do next.

Where it fits

The difference between publishing and compounding.

Publish and forgetRank tracker toolOpenHelm
Spots decayNoShows the dropShows it and diagnoses why
AI-answer trackingNoRareTracks citations across AI engines
Fixes the pageYou, eventuallyYou, manuallyDrafts the refresh as a diff
Ships the fixManualManualPR / WordPress / Shopify update
AccountabilityNoneA dashboardPlain digest of what moved and why

What clients say

OpenHelm basically gave us an entire marketing department overnight. This is what it feels like to punch above your weight!
Dr Thom Van Every

Dr Thom Van Every

Founder · Smoothie Wars

Common questions about continuous improvement

Twenty minutes

Bring your published pages. We'll show you what's slipping.

Give us read access to your Search Console and we'll surface the pages quietly losing ground, where AI answers stopped citing you, and the specific refreshes that would win them back, then show you how each ships with your sign-off.