A domain engines trust in your category does not list you.
g2.com retrieved 312 times, no Ledgerly entryProduct · Act
One ranked to-do list for your AI visibility.
Action Center turns every finding from Prefer into a scored task: what to fix, why it matters, who does it, and whether it worked. The list is sorted by impact, so the top item is always the next best thing to do.
The scorecard
Four numbers keep the list honest.
What is open, what it is worth, what shipped, and how much of it actually worked.
Everything accepted and not yet closed, across all owners.
11 open of 14 in the queueVisibility the open queue is expected to win if it all ships.
Down from 14.2% eight weeks agoActions closed and re-checked in the last 30 days.
6 by the agentClosed actions where the prompts actually moved.
7 of 9 last monthLive demo data: Ledgerly workspace, 14 actions in the queue, 11 of them still open.
Signals in · Module 01
Eight nightly checks write the list for you.
You never add a task by hand. Eight watchers run against your market every night, and when one finds a problem it writes the action, scores it and adds it to the queue.
Eight checks, run nightly. Between them they wrote every action in the queue.
A page an engine wants to quote has no structured data to quote from.
/pricing has no FAQPage or Product schemaAn AI bot is blocked, 404ing or never reaching a money page.
GPTBot disallowed from /pricing and /product/*Your brand is ambiguous or inconsistent across the knowledge graph.
No Wikidata entity, NAP differs on 3 directoriesA rival starts winning a prompt, or publishes the page that takes it.
Ramp cited on 6 comparison prompts you are absent fromA tracked prompt has no page on your site good enough to cite.
No coverage for “spend controls for finance teams”A page engines used to cite has gone stale and is losing ground.
5 money pages with no last-updated signalA structural best practice your site has not adopted yet.
No llms.txt at the site rootEvery action names the check that created it, so you can always see why it is on the list.
The queue · Module 02
Every action, ranked by expected impact.
One list, not a board you have to maintain. Each row shows the fix, the reason behind it, who owns it and how much effort it takes.
Ledgerly workspace, 14 actions, sorted by impact.
Publish a fair Ledgerly vs Ramp comparison hub
Get listed in the G2 Expense Management category
Allow GPTBot and PerplexityBot in robots.txt
Add FAQPage and Product schema to /pricing
Create a Wikidata entity for Ledgerly
Seed an authentic r/accounting thread on AP automation
Pitch the Nerdwallet alternatives roundup for inclusion
Publish an llms.txt at the site root
Add Organization and sameAs schema sitewide
2/4Fix NAP consistency across three directories
1/3Add last-updated dates and sitemap lastmod
3/3Unblock ClaudeBot on the blog subdomain
✓ +3 prompts cited · 9 daysAdd HowTo schema to the expense reports guide
✓ +2 prompts · SoV +0.6 · 11 daysGet listed on Capterra Expense Management
✓ +1 prompt · 24 daysFilter by stage, owner or category. The default view is simply what to do next.
The score · Module 03
See exactly how each action is scored.
No black-box priority number. Every score is three inputs divided by effort, all four visible on the action. If you disagree with an estimate, change it and the ranking updates.
Publish a fair Ledgerly vs Ramp comparison hub
Medium is the baseline. Low effort multiplies up to 1.15, high effort down to 0.82. A cheap 70 beats an expensive 80.
Who does it · Module 04
The AI agent ships 45% of the list.
An honest split of the 11 open actions. The agent handles technical and schema work end to end. It prepares drafts and submissions for you to approve. Outreach and community work stay with your team.
Agent ships it
5Schema, robots.txt, llms.txt, metadata, sitemap and freshness work. Written, tested and deployed without you.
Agent-assisted
3The agent does the preparation and hands you something to approve. Drafts, entity submissions, directory metadata.
Your team
3Relationships and judgement. Review-site listings, PR pitches, community participation. The agent finds and briefs, a person acts.
You can reassign any action. The default owner is the honest one, not the flattering one.
Inside an action · Module 05
Every action shows the evidence behind it.
No one-line tickets. Open any action to see why it exists, which prompts it affects, the steps to finish it, and how the result will be checked.
Off-page · Source gap · Medium effort · Your team
g2.com is retrieved 312 times and cited 188 times across your category. A category presence puts you inside the retrieval set engines already pull from, before you write a single page.
Closed loop · Module 06
Actions close only when the result is measured.
Marking a task done proves nothing. Prefer re-runs the prompts each action was meant to move and records what happened. Wins and misses both stay on the record.
Every action that closes takes its expected impact off the board. The line falling is the queue actually working.
New findings push the line up. Closed actions pull it down. It has fallen for six straight weeks.
The four most recent, wins and misses alike.
A miss is not deleted. It re-scores the check that suggested it, so the list gets more accurate over time.
Works with the tracker you already use
Actions sync both ways, with the evidence and expected outcome attached. The measured result flows back when the prompts are re-checked.
Where the work comes from
Every Prefer finding lands in one queue.
Answer Engine Insights, Competition, Agent Analytics and Content Gap all route into Action Center. It is the only screen you need to open on a Monday.
Fix the sentiment driver on setup complexity
Cited as a negative on 4 prompts, traced to one G2 review theme
Publish the Ledgerly vs Ramp comparison hub
Ramp wins 6 comparison prompts you are absent from
Allow GPTBot and PerplexityBot in robots.txt
12 money pages are invisible to the engines that read them
- 01Detect
- 02Score
- 03Ship
- 04Verify
“We used to end every review with a list of things someone should probably do. Now the list arrives already ranked, and six of the fourteen are done before we meet.”
Questions
Asked plainly.
What is Action Center?
Prefer's work queue for AI visibility. Every finding from across the platform becomes a scored action with its evidence attached, an owner, the steps to close it, and an automatic re-check after it ships.
How are actions prioritised?
Each action scores on reach, winnability and confidence, divided by effort. The inputs are visible on every action and you can override any of them. A cheap 70 outranks an expensive 80.
What can the agent do on its own?
Structural work: robots.txt, llms.txt, schema, metadata, sitemap and freshness fixes. Roughly 45% of a typical queue. Drafts and directory submissions are prepared for your approval, and outreach stays with your team.
Where do the actions come from?
Eight watchers running nightly: competitor moves, content gaps, crawler signals, source gaps, schema audits, entity scans, freshness checks and AEO best practice. Every action names the watcher that produced it.
How do you know an action worked?
It stays tied to the prompts it was meant to move. Those prompts re-run after the change ships, and the action only closes when the result is recorded, win or miss.
Can I use my own project tracker?
Yes. Actions sync to Jira, Linear and Asana with the evidence and expected outcome attached, and the result flows back when the prompts are re-checked.
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