Ways to Use the Cognizo MCP

Everything below is a prompt you type into your assistant. Swap in your own brand name and adjust the dates. You don't need to phrase things exactly this way, since the assistant works out which tools to call on its own.

💡 Keep in mind, this article assumes you're already connected. If you're not, start with our article on setting up the MCP.

Pick the one report someone on your team assembles manually every week or month. That's automation will create immediate efficiency for your team and get all of your data in one report easily.

Four workflows are built into the connector as single tools, so they come back fast and formatted the same way every time.

Weekly visibility pulse

"Give me this week's visibility pulse for [brand]."

Visibility, share of voice, and sentiment for one brand in a single pass.

Competitor radar

"Pull my competitor radar for [brand] and rank them by visibility."

Your tracked competitors, ready to sort.

Citation gap report

"Run a citation gap report for [brand]."

The domains being cited across your space.

Prompt coverage audit

"Run a prompt coverage audit for [brand]."

Every tracked prompt with its visibility attached.

Keep in mind, these four are starting points rather than finished answers. Keep asking questions in the same thread. The assistant holds the context, so "now group those by topic" or "which of those moved most since last month" works without you re-explaining anything.

The Monday morning read

"Give me a weekly read on [brand]: visibility, share of voice, and sentiment, with the week-over-week movement called out. Keep it to five bullets I can post in Slack."

Or even better, if your Slack is connected to your AI client, simply give the instructions to post the summary to the right Slack channel.

Board and QBR prep

"Pull visibility, share of voice, and sentiment for [brand] as a monthly time series for the last two quarters, broken out by topic. Then write a short narrative on what changed and why."

You get the figures and the story that goes with them, ready to drop into the deck.

Answering "what changed?"

When a metric moves, the follow-up question is always the same one.

"Visibility dropped for [brand] this month. Which topic drove it, which prompts inside that topic moved, and which citations stopped appearing?"

Topic-level metrics come back with period-over-period differences already attached, so the assistant can walk the trail from the metric, to the topic, to the prompts, to the citations that went missing.

⚠️ Caution! If the numbers don't match what you see in the dashboard, it's almost always a date-range mismatch. Give explicit start and end dates in your prompt, then compare again.
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A standing competitor briefing

"Rank my tracked competitors for [brand] by visibility and share of voice this month. Flag anyone who gained more than five points."

Battlecards your sales team will actually use

"Which prompts does [competitor] win where [brand] doesn't appear at all? Turn that into a one-page objection-handling sheet."

The underlying data is prompt-level, so the claims come out specific rather than vague. Pair it with HubSpot or Drive and the finished battlecard lands where your sales team already looks.

Competitor content teardowns

"Show me which [competitor] pages AI engines cite most in my space, filtered to comparison pages and listicles."

Citation data separates what you own, what you earned, what competitors own, and what competitors earned. That split is what makes a teardown worth reading.

An editorial calendar built from real gaps

"List every tracked prompt for [brand] where visibility is zero, grouped by topic, sorted by prompt volume."

A prioritized backlog instead of a brainstorm.

From gap to brief to draft in one thread

"Show me content recommendations for [brand] with the highest prompt coverage. Pick the top one, generate the brief, then generate the article."

Recommendations arrive tagged by type: create something new, refresh something you own, chase third-party coverage, or post socially. Your brand guidelines live in the workspace, so the draft comes back sounding like you.

⚠️ Caution! Brief and article generation draw down your plan's article credits. Use a client that asks for confirmation before it runs a tool, so nobody burns credits by accident.

Deciding what to refresh instead of what to write

"Which of my existing pages are underperforming in AI answers? Show me refresh recommendations for [brand]."

For most teams, refreshing pays back faster than net-new production, and the connector will tell you which pages qualify.

Tracking a launch from day one

"Create a topic called [launch name] for [brand] and add these prompts to it: [your list]."

Then come back in two weeks:

"How is the [launch name] topic trending compared to the rest of the brand?"

Once you've generated an article in Content Studio, ask your assistant to read it and write the schema markup to go with it.

"Pull my most recent Content Studio article and generate JSON-LD schema markup for it. Use Article schema and include headline, description, datePublished, and author."

The MCP hands over the article. Your assistant writes the markup. Cognizo does not store schema, so copy the output into your CMS the way you would any other structured data block.

💡 Keep in mind, ask for the schema type you actually want. Article or BlogPosting for editorial pieces, FAQPage for a question-and-answer section, HowTo for a step-by-step. Our article on how to optimize content for AI search covers which types are worth the effort.

⚠️ Caution! Read the markup before you publish it. Dates, author names, and the canonical URL are the fields most likely to come back as placeholders, since your assistant has no way of knowing where the article is going to live. Run it through a structured data validator once you've filled those in.

A target list for outreach

"Run a citation gap report for [brand] and give me the domains citing my competitors but not me, ranked by how often they're cited."

That's a pitch list for your PR team, backed by evidence rather than instinct.

Knowing which kinds of sources matter in your category

"Break down citations for [brand] by domain type. What share is editorial, review, documentation, and community?"

Some categories run on editorial coverage. Others run almost entirely on community discussion. Budget can follow whatever the answer turns out to be.

Sentiment monitoring with an early warning

"Show me sentiment for [brand] as a weekly time series for the last quarter, split by topic. Flag any topic trending negative."

Watching this regularly means you hear about a negative shift while it's still small, and you can see which topic it started in.

Regional differences you'd otherwise miss

"Compare visibility and sentiment for [brand] across [region A] and [region B]."

Every core metric can be scoped by region. Teams moving into a new market use this to check whether the brand story travels or needs local work first.

"List all brands in my organization, pull visibility and share of voice for each one this month, and give me a single comparison table."

Client reporting stops being a copy-and-paste exercise. Connect Drive or Slack alongside it and the finished rollup lands where your team already works.

Any of the above can run on a recurring basis instead of when someone remembers. A weekly competitive digest every Monday morning. A monthly citation gap refresh. A quarterly content audit.

How you set that up depends on your client, since scheduling is a feature of the assistant rather than of Cognizo. Check your assistant's documentation for recurring or saved tasks.

The connector is strongest sitting next to the tools your team already lives in:

You don't need all of them to get value. Automate the single report your team rebuilds most often by hand, then let the rest follow.