The agents work.
You watch and approve.
Audit your digital presence once to see what is broken. Subscribe and agents fix it every month — GBP, citations, schema, content, reviews — with your approval on every action before it executes.
Audit. Fix. Measure. Repeat.
The Digital Presence Audit runs once to establish your baseline and produce the fix list. A subscription runs all four steps every month — agents doing the fixing, you approving each action, scores updated after every cycle.
Score every signal.
11 axes. 40+ directories. AI-search visibility across ChatGPT, Claude, and Gemini. Two scores — Controlled (what we can fix) and Earned (what the world sees). Every signal flagged, sourced, and verified.
Agents propose. You approve.
Every fix is ranked by score impact and proposed to you before anything executes. Approve in the portal, reject with one click, or set rules and let it run. Nothing ships without your explicit sign-off.
Both scores update.
After approved fixes execute, the relevant signals re-run. Controlled and Earned scores update with attribution — every point is traced to the specific fix that caused it. Misses are flagged for rollback.
Compounds every month.
Each cycle builds on the last. Twelve months in, your DPS data is a longitudinal record no competitor can replicate. The interpretation stays with NCL because the history is NCL's.
Five agents. One mission.
Each agent owns a specific part of your digital presence. They run on the same monthly cycle, propose actions through the same approval queue, and log every move to the same timestamped record.
Keeps your Google Business Profile accurate.
Scans your Business Profile every month against your live site data. Finds stale hours, missing categories, outdated service areas, and photos that need rotation. Proposes every edit before it ships — you approve, it executes.
Finds and fixes mismatches across 40+ directories.
Checks your name, address, and phone number against Yelp, Angi, Thumbtack, Yellow Pages, and 36 more. Every mismatch is a trust signal leak. The agent logs the conflict, proposes the correction, and executes on approval.
Fixes the technical layer AI assistants read first.
Checks schema markup, crawl access for AI bots, robots.txt policy, and LCP. These are the signals that determine whether ChatGPT, Perplexity, and Google cite you or a competitor. Each proposed fix is diff-shown before you approve.
Publishes the content customers and AI assistants look for.
Drafts Google Posts, FAQ schema blocks, and service-page updates tailored to your vertical and geography. Nothing goes live until you read it and approve it. You can edit any draft before it ships.
Responds to reviews and tracks reply rate.
Monitors your review inbox and drafts responses in your voice. Your response rate is a ranked DPS signal — the industry median is 67%, and most service businesses are well below it. Each reply is shown to you first. You can approve, edit, or reject.
Watch the agents work.
The portal is not a monitoring dashboard. It is the governance layer. Every agent action appears in your approval queue before it executes — proposed, with full context, waiting for your yes or no.
Below the queue is the activity log: every action that has run this cycle, every score it moved, every timestamp. If you log in at day 15 of your first month and want to know what has happened, it is all there.
Ranked by impact. Shown before done.
Every cycle produces a ranked fix list — highest DPS impact per hour of agent work goes first. You see the ranked list before anything executes. Approve in order, reorder it yourself, or reject individual fixes without losing the others.
Each fix carries an estimated score gain, an effort estimate, and a second-model validation status. The second model is different from the one that proposed the fix — it challenges the finding independently before it reaches your queue.
One score. Two numbers. Both go up.
The DPS comes in two parts that are never blended: Controlled (what we fix directly — GBP, citations, schema, content) and Earned (what the market returns — reviews, rankings, AI mentions).
Controlled moves because agents move it. Earned moves because customers respond to what you improve. We report both honestly — no inflated number, no blended average that hides a weak half.
How we know what to fix.
Fix rules built from real business data — not generic SEO advice.
Every fix the agents propose is drawn from a playbook calibrated for your vertical and geography. Each rule carries an expected DPS lift range, a confidence interval, and a typical time-to-effect — built from actual audit outcomes, not theoretical benchmarks. An HVAC contractor in Tampa Bay gets different rules than a law firm in Boston.
Every proposed fix is challenged by a second AI before you see it.
The agent that identifies a fix is not the model that validates it. A second model reviews the finding independently — checking the reasoning, the data source, and the expected impact. Only fixes that survive both passes reach your approval queue. This is how confident-but-wrong recommendations stay out of your portal.
40+ directories, three AI search models, live crawl — not cached data.
Every audit pulls fresh signals from GBP, Yelp, Angi, Thumbtack, and 36+ more directories. AI search visibility is tested live across ChatGPT, Claude, and Gemini with three query variants per model. Stale or unverifiable signals are flagged and excluded from your scores rather than averaged in.
Conflicting data sources become flagged fixes, not averaged noise.
When two sources disagree — a Yelp phone number differs from your GBP phone number — the system does not pick one. It flags the conflict, excludes the signal from your score, and puts the resolution at the top of the fix queue. Resolving the conflict is itself a scored action.
What governance means here.
The portal is not a monitoring tool. It is the governance layer itself. Every action that would modify your listings or site must pass through your explicit approval before it executes. This is not an optional setting. It is the architecture.
Nothing ships without your sign-off.
Every proposed change appears in your portal with full context: what changes, why it was ranked first, and the expected score impact. Approve it, reject it, or defer it. If you reject, it is logged with your decision and never re-queued unless the underlying data changes.
Every proposed change is validated by a second AI before you see it.
The agent that identifies a fix is not the same model that validates it. A second model challenges the finding independently. Only changes that survive both passes reach your approval queue. This is how we catch confident-but-wrong recommendations before they become your problem.
If a change doesn't move its target metric, it's reversed.
Every approved change is tracked against the specific metric it was meant to improve. After the next audit cycle, if the delta is flat or negative, the system queues a rollback for your approval and logs the miss with the before/after data. You see exactly what happened.
A complete, immutable record of every action.
Every action is logged with full provenance — what was proposed, who authorized it, when it executed, and what the measured result was. You can export the full log at any time. If something improves, the proof is in the record.
How NoCode Labs uses your Google data
When you connect Google Analytics, Search Console, or your Business Profile, we read the signals that shape your Digital Presence Score — traffic, rankings, listing completeness, review counts. We use this data only to compute your score, generate audit findings, and show you how those numbers change over time. We do not modify your accounts, share your data with third parties, or use it to train AI models. You can disconnect any Google integration at any time from your portal settings. Google Business Profile OAuth is live for Oct 4 beta buyers; GA and Search Console are rolling out to all subscribers this quarter.
One audit. Then decide.
$500, one-time. Both scores and a ranked fix list, yours whether you subscribe or not.