Your SEO agent finds the page fixes that can move search demand.
A practical AI SEO tool for lean teams. The agent audits your pages on a schedule against real Search Console data, mines keyword demand, and writes typed recommendations with prompts your team can review and apply.
Pages start ranking. The rest of your week stays yours.
Two weeks after the agent's first audit, the pages it touched start picking up clicks. The ones it left alone keep doing what they were doing. That is the bar we hold every recommendation to. Instead of comparing your stack to another AI SEO tool, you compare your Search Console chart from before to after.
The audit runs on a schedule. You review the useful fixes.
Most SEO work fails because nobody has time to turn data into changes. The agent audits your pages on a schedule in the background, prioritizes the recommendations worth shipping, and gives you a clear reason, proposed change, and implementation prompt. Use the dashboard to review, apply, dismiss, and track the work.
Review the right recommendations in one workflow.
The audit already ran on its schedule, so recommendations are ready when you are. Review them in the dashboard. Each one includes the reason, proposed change, and coding-agent prompt, so your team can apply the change deliberately and review the diff.
Use the dashboard to keep SEO fixes visible.
Keyword research that finds the few worth ranking for.
Before the agent recommends a single page change, it does the keyword research a lean team rarely has time to finish. It seeds from your product context, mines the keywords your competitors already rank for, and pulls live demand: volume, difficulty, cost per click, and search intent. Then it scores every keyword by real opportunity and assigns a priority, so you target the handful that matter and ignore the thousands you cannot win.
Mined from competitors
The agent seeds from your product, then mines the keywords your competitors already rank for. Every candidate arrives with live volume, difficulty, and commercial intent from real search data, so this is an AI SEO tool grounded in demand rather than a brainstorm.
Scored by opportunity
Each keyword gets an opportunity score that weighs demand against how winnable it is for a site your size, your current ranking gap, and intent. The agent drops broad platform terms and suspicious vanity volumes, so the list stays short and honest.
Mapped to a page
Survivors are bound to a page as a primary or supporting keyword, or flagged as a gap that becomes a new_page recommendation. Your research never sits in a spreadsheet you forget to open.
Specific page-level changes with the prompts your coding agent applies.
Every recommendation is typed, attached to a specific URL, and ships with a copy-pasteable coding-agent prompt. Three real examples, in the same shape the agent writes them.
Win the click before the page loads.
Title and meta description rewrites are the cheapest SEO win in the catalog. The agent reads your live Search Console click-through rate, compares against competitors ranking for the same query, and rewrites the title so a buying-intent searcher actually clicks yours. Each rewrite ships with a before-and-after character count, because most title tags fail by being one phrase too long.
Make sure search intent and your H1 match.
An H1 that does not contain the primary keyword in the first few words is the most common silent ranking drag. The agent diagnoses the intent of the query, the intent of your current H1, and rewrites only when the two are misaligned. It will not rewrite an H1 that is already doing its job, even if you ask.
Cover the topic Google expects without rewriting your voice.
When your page covers half the topic, the recommendation is not "write more". It is a specific outline of which sections to add, which to merge, and which to remove. The agent leaves your voice alone and only proposes the structural changes that move the ranking. Use the dashboard recommendation as the source of truth while your team applies and reviews the update.
One recommendation, exactly as the agent writes it.
Here is a single recommendation for a fictional invoicing SaaS, rendered in the same shape you would see in your dashboard. A typed change, the URL it targets, the real signal behind it, the proposed edit, and the coding-agent prompt your own agent runs to ship it.
See what the agent finds on your page.
Every recommendation cites a real signal.
We do not recommend a page change without something grounding it. The agent reads three independent signals before writing a single line. If a signal is missing for a page, the agent says so and skips, instead of guessing.
What's already winning
Your Search Console clicks, impressions, click-through rates, and average positions, refreshed daily. The agent uses what you are already ranking for as the baseline for every measurement, so it never recommends a change that walks back a working page.
What could win next
The opportunities from your keyword research, the terms with real demand you do not yet rank for. The agent only proposes a new target once a keyword has cleared the opportunity bar, so nothing speculative reaches your queue.
What's broken right now
Our own crawler reads your sitemap, parses canonical tags, follows redirect chains, and flags noindex responses. Technical issues come up as a separate recommendation type so they do not get buried under content rewrites.
Your sitemap stays submitted to Google. You never open the dashboard.
Connect Google Search Console once and the agent takes over a chore busy teams forget. Every week it reads the sitemaps your robots.txt already points to, and when one is new or has changed, it submits it to Search Console for you. Ship a new page from a recommendation and Google gets told to crawl it without you logging in anywhere. It tells Google where your pages are; it never forces them into the index, because that call is Google's.
Discovered from robots.txt
The agent reads the sitemaps your robots.txt already lists. Nothing to paste, no path to configure, no submit step to remember.
Submitted weekly, automatically
When a sitemap is new or has changed, it goes to Search Console on the weekly run, so the pages you just shipped get found faster.
Read-only status you can trust
See last-read, pending, and healthy states per sitemap at a glance. There is no submit button by design, because there is nothing left for you to do.
SEO automation in four steps. The agent runs three of them on its own.
The agent audits on a schedule. You do nothing.
On a recurring schedule, the agent crawls your pages, pulls your Search Console data, and runs the keyword research, then audits every page against all three. No command to remember; the work happens in the background while you build.
Typed recommendations land in your queue.
Each recommendation has a type, a target URL, a reason citing a real signal, and a proposed change. Nothing vague, nothing speculative. If the agent has nothing high-confidence to suggest for a page, it skips it.
You pull it in, your coding agent ships it.
Review the recommendation in VibeCom, hand the included prompt to your coding agent, review the diff, and ship. VibeCom never touches your code directly; your own agent makes every change, the same way every other change you make does.
We re-check Search Console 28 days later, automatically.
This is the step most SEO tools skip. Twenty-eight days after a recommendation is applied, the agent reads your Search Console clicks, impressions, and average position for the affected page. It compares against the baseline. If the change moved the needle, the recommendation stays applied. If it did not, the agent writes a follow-up with a different angle. You never have to check the same page twice yourself.
Every kind of work the agent will do for you.
Make your existing pages rank better
The four optimize types, title, meta description, H1, and content, cover the pages you already published. Each is the cheapest possible change with the highest ranking impact. The agent prefers these over creating new pages, because a page that already exists already has authority signals.
Get a new page when one doesn't exist
When a high-intent keyword has no matching page, the agent writes a new_page recommendation with a full implementation brief: the target URL, the search intent to satisfy, the outline to cover, and a coding-agent prompt that builds the page in your repo. This is how programmatic SEO should work for a lean team. Every new page traces back to a real keyword gap, and you ship it through your own codebase the same way you ship a feature.
Keep one keyword on one page, on purpose
The agent runs a strict keyword-to-page map: one primary keyword owns one canonical page, and related secondary keywords support that same page instead of spawning competitors for it. The map is enforced in the database, so the system cannot recommend two of your pages to fight over the same primary term. When it finds two pages already competing, it writes a rebind recommendation and moves the keyword to the page that should rank. This is the fix for silent keyword cannibalization, a common reason product sites underperform.
Fix the technical issues the crawler finds
Broken canonicals, accidental noindex headers, redirect chains the crawler had to bounce through. The technical recommendation type surfaces these as their own kind of work so they do not get lost under content rewrites. The agent tells you what is wrong and which file to edit, but it does not auto-apply technical changes. These are the ones you want to land deliberately.
"Useful SEO work without the spreadsheet tax."
Why we built an AI SEO tool that ships fixes, not reports.
Most SEO tools were built for agencies. Five seats, a content calendar, and a dashboard somebody opens every morning. That is not the reality for a lean team trying to grow a product. You ship features, support customers, write content when you can, and keep meaning to look at Search Console. The SEO tab loses.
Real SEO automation is not generating more keyword spreadsheets. It is shipping the page change and watching whether it moved the needle. The agent should do its homework on a schedule against your real signal data, then deliver recommendations as specific work your team can approve and apply. This is what an AI marketing agent should do: turn context and signals into useful marketing work, not another report to babysit.
The 28-day re-evaluation is not a feature we are proud of shipping. It is the standard. An agent that recommends and forgets is a research tool. We wanted something more honest. So every applied recommendation gets graded against your Search Console data four weeks later, and if it did not work, we say so and write a different one. That is the loop. That is the whole point.
SEO is one slice of a larger AI marketing agent platform.
The same system that audits your pages can also draft social posts, monitor competitors, and help publish approved content to connected channels. SEO recommendations stay connected to the rest of your marketing work, so search improvements do not live in a separate tool your team forgets to open.
SEO for lean teams that need useful work, not reports.
The SEO agent is built for teams that need organic growth but do not have spare SEO headcount. It needs context on your product, your pages, and your business, then turns that context into recommendations you can review and ship deliberately. Generic SEO dashboards were never designed to do that work for you.
It runs on real product pages every week, and every rule it follows traces back to a real mistake on a real page. If you are trying to grow without a full marketing team, the workflow gives you the next useful SEO action instead of another dashboard to interpret.
Common questions before you start
Yes, with an important difference. Most AI SEO tools hand you data and leave the next step unclear. VibeCom audits on a schedule and turns findings into typed recommendations with copy-paste coding-agent prompts, so your team can review the change in the dashboard.
Yes. Most of the rules the agent follows came from auditing SaaS landing pages and feature pages. It understands the difference between a marketing page, a docs page, and a blog post, and writes recommendations appropriate to each surface.
The agent will still audit your pages and write recommendations using the page-content and crawler signals. The recommendations that depend on real ranking data, like the 28-day re-evaluation, will be paused until you connect Search Console.
No. Once Search Console is connected, a weekly job reads the sitemaps your robots.txt points to and submits any that are new or changed, so the pages you ship get found faster. The dashboard shows a read-only status for each sitemap; there is no submit button because there is nothing for you to do. It tells Google where your pages are but never forces them into the index.
No. The agent never edits your code directly. It writes a recommendation and a coding-agent prompt. You review the diff before anything ships. Technical-issue recommendations are flagged separately so you can apply them deliberately.
Solo means picking battles. No single tool covers SEO, content planning, and AEO well because they operate on different signal layers — SEO is structured (keywords → pages → rankings) while AEO depends on how communities and AI engines discuss your product. For SEO and content, an agent that audits on a schedule and delivers page-level recommendations in the dashboard saves the research-and-decide cycle that eats most of a solo marketer's time. For AEO, the highest-leverage solo move is structured data: FAQPage and HowTo schema on existing content is the cheapest win that helps both traditional rankings and AI citations. Beyond tools, a community presence in the threads where your buyers already ask questions compounds over time in ways no tool can replace.
The SEO agent is available on Pro and Growth plans. The Free plan can inspect existing keyword data but does not run the audit workflow. Pro plans include capped SEO keyword research; Growth plans unlock unlimited SEO workflows.
Start the loop you actually maintain.
Start from the dashboard. Audits run on a schedule; you review the recommendations and ship the fixes that matter.