SolCrys AEO Workspace Deep Analysis: one plan for the next four weeks

Our best product ideas come straight from customers. Ours have been telling us three things: they want evidence, not just insights. They want those insights to fit the way their team already works. And they want an easier way to implement them.

So that's what we built: evidence behind every finding, insights that land in the day to day, and the shortest path from finding to done.

Today we're launching Workspace Deep Analysis. Run one analysis a month across the prompts that matter most to you. Get back a short, ranked, dated plan that covers your month, with every action grounded in the latest AI-generated answers and citations, one click from Actions Hub.

From one prompt to the whole workspace

Deep Analysis started at the prompt level. Pick one question, and SolCrys reads every AI answer and every page those answers cite to explain why the engines say what they say about you.

Customers loved the why. Then they asked for the natural next step: across all of this, what should my team do first, and how do we get it done?

And there are several ways to think about which prompts to prioritize. Is this the most important prompt you're working on right now, the one you're writing content for, or pitching third-party editorials to cover? Is your goal to lift long-tail prompts, or to build on the ones where you already perform well? Or to improve one particular engine? All great questions to think through. But when you have 10 meetings a day, you probably don't have much time to think through them every week.

Workspace Deep Analysis is built for exactly that step. Not another report to interpret, but a plan to work through.

What one analysis gives you

Pick up to 10 prompts that ask about the same need, such as setup, pricing, or comparisons, across your AI engines. Start the analysis and have a coffee or tea; it reads the answers and the cited pages and usually finishes in 5 to 15 minutes.

The report opens on Diagnosis:

• A one-sentence verdict that sums up where you stand, before any detail.
• What's working. The sources that already help you, like the roundup article every engine cites or the page that names your brand. Keep them accurate and current.
• What holds you back. Each finding is typed as a content gap, competitor advantage, or owned content not cited, and comes with its evidence: the engine, the answer's own words, the prompt, and the page the answer cited.

No guessing why AI leaves you out. For every issue, you see which AI assistant said it, the question that was asked, the exact words of the answer, and the website it sent readers to instead of yours.

A dated four-week plan, one click from the work

The Actions tab is the part customers asked for most. It sums up the plan in one sentence, then lists Week 1: the tasks most likely to make a difference. Weeks 2–3 hold the rest, grouped by where you publish: your own site, other sites' articles and listings, and social or video platforms.

Actions fit to your business domain, your AI visibility gaps, and your Corporate Context. Every card tells you where to publish, which answer gap it closes, the key points to cover, and its effort and impact. Select Add to Actions on the tasks you plan to do, and the work lands in Actions Hub with a brief attached, ready for an owner, a due date, and a path from Todo to Published.

Why four weeks? Week 1 starts the day the report finishes, and Weeks 2–3 cover the 14 days after. The final week leaves room for your changes to show up in AI answers before you measure again next month.

Measure visibility. Diagnose gaps. Execute the right actions. Verify what moved. Workspace Deep Analysis runs the whole loop on a monthly rhythm: run one analysis, work the plan for four weeks, then compare mentions and recommendation scores on the same prompts and run the next one. The results come from doing the work, not from running the analysis again.

Three examples

Say you run a well-established business in San Francisco and you want to expand to San Jose. When someone in San Jose asks an AI assistant who to call, the answers probably name the businesses already there, not you.

Pick up to 10 prompts your future customers would ask, like "best [your service] in San Jose" or "who should I call for [your service] in San Jose", and run one analysis. The report shows which AI assistants skip you, what they say instead, and the pages they trust: local roundups, review sites, a competitor's comparison page. The plan that comes back is your first month of expansion marketing. Week 1 might be a San Jose page on your own site; Weeks 2 and 3, the listings and roundups the answers already cite. Add the tasks to Actions Hub, assign owners, ship. Next month, run it again and see how often the answers name you for San Jose.

Or say you're writing the launch plan for a new feature. Run an analysis before launch on the prompts the feature should win: "best tools for [the job it does]", "[your category] with [the capability]", "[your product] vs [competitor]". The report shows what the answers say today and which pages they pull from, and the plan becomes the AEO section of your launch checklist: the pages to publish on launch day in Week 1, the comparison and editorial coverage to pitch in Weeks 2 and 3. A month later, run it again and see whether the answers mention the new feature when it matters.

It works for people, too. Say you want to track your CEO's visibility. Run an analysis on the prompts where executives get named, like "top voices in [your industry]" or "[topic] experts to follow". The report shows which AI assistants mention your CEO, what they say, and the interviews, podcasts, and articles they pull from, and the plan tells you which of those to pitch next.

Every action carries its evidence

Customers told us they only trust an action when the evidence convinces them it's worth doing. We built the whole report around that idea.

Every task in a Workspace Deep Analysis plan links back to the answer gaps it closes, and every gap shows the AI answers behind it, with the cited page. If a destination can't be confirmed, the card says so instead of pretending.

And the plan runs through quality checks before it reaches you. An action the data can't back gets dropped. Some months the report will say "no actions this time" and explain why. We'd rather hand you a shorter plan than a padded one.

Impact is an estimate tied to named engines and prompts, not a promise. You choose what goes to Actions Hub, your team approves what ships, and next month's measurement shows what changed. Humans stay in control of every step.

Available today, on every plan

Workspace Deep Analysis is live today on every SolCrys plan; each run uses one Deep Analysis from your monthly allowance. The user guide has more details.