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Oleno for Product Marketing

Give every product story the facts behind it.

A launch, battlecard, sales deck and product video each need a different explanation of the same product. Oleno keeps the feature mechanics, limitations, buyer problems, positioning and proof available for Claude, ChatGPT and your other AI workflows.

Request a Demo Explore the workflows

How it works in your tools

Oleno marketing governance

Your team's maintained positioning, product truth, buyer context and evidence.

Permissioned MCP retrieval

Claude, ChatGPT, Codex and compatible clients

Use the relevant records to plan, draft or review an assignment in your chosen tool.

You decide what to approve or ship

Illustrative workflow. Context is requested by an authorized client, not automatically injected into every conversation.

The feature shipped. Half the team still describes the old version.

Your docs know how a feature works. The campaign team knows the deadline. Sales has the objections, and the AI tool has a tagline from six months ago. Each person can draft quickly, but the useful product detail keeps getting lost between teams.

Practical examples, not theoretical integrations

What this looks like for product marketing

These are example requests you can use in a connected AI client. First retrieve the relevant current Oleno records, then bring in the real information for the assignment. The tools create the work; your team makes the decisions.

01Example workflow

Build a product launch messaging brief

After product confirms the feature scope, before agencies or channel owners start writing.

Bring your own inputs

Add release notes and launch constraints that are not yet reflected in approved governance; confirm them before public use.

How MCP access works
Ask Oleno for the relevant context

What the feature does, how it works, important limitations, relevant buyers, positioning and credible proof.

marketingproductsproduct_featurespersonasuse_casesstories

These are real Oleno read_governance sections. In your connected AI client, ask it to retrieve them before it starts writing.

Example request to your AI toolClaude or ChatGPT
Retrieve our approved product feature mechanics and limitations, target buyer problems and current positioning from Oleno. Using the confirmed launch notes I attached, draft a messaging brief with the buyer problem, new capability, why it matters, allowed claims, unanswered questions and separate angles for a web page, launch email and sales handoff.

What you make

One launch brief that downstream creators can use in their own tools.

What you review

Get product confirmation for new claims. The LLM should not fill missing feature details with plausible guesses.

02Example workflow

Create a competitive battlecard

When an AE keeps hearing the same alternative in evaluations or renewals.

Bring your own inputs

Supply recent competitor pages, pricing or call notes where appropriate; stored competitor notes may not describe today's offering.

How MCP access works
Ask Oleno for the relevant context

The alternatives buyers consider, product boundaries, objections, decision criteria and approved customer evidence.

competitorsproductsproduct_featuresbuyer_enablementstories

These are real Oleno read_governance sections. In your connected AI client, ask it to retrieve them before it starts writing.

Example request to your AI toolChatGPT or Claude
Look up our current Oleno competitor and product records, then use the official competitor sources I attached. Create a concise battlecard for a seller: where each option fits, five discovery questions, supported differentiation, common objections and claims we must not make. Cite the source behind every competitor-specific statement.

What you make

A practical comparison brief and conversation guide rather than a list of invented weaknesses.

What you review

Have the PMM or competitive owner confirm differentiators and date-sensitive claims.

03Example workflow

Brief a product video

Before asking a designer or video tool to create a feature walkthrough.

Bring your own inputs

Provide the actual product screens, demo environment and brand assets separately.

How MCP access works
Ask Oleno for the relevant context

Correct functionality, setup, user problems, limits and visual or voice guidelines.

productsproduct_featuresuse_casespersonasbrand

These are real Oleno read_governance sections. In your connected AI client, ask it to retrieve them before it starts writing.

Example request to your AI toolClaude, ChatGPT or an external video agent
Retrieve the current Oleno details for this feature and the target buyer. Write a 60-second product video brief with the user's starting problem, the screens or actions we must actually show, narration, and a list of things we must not imply the feature can do. Flag any missing footage or unverified steps.

What you make

A storyboard and script for the external video tool, with the required scenes and product facts spelled out.

What you review

Review it against the running product and the footage. Oleno supplies context; the video is created in an external tool.

Keep judgment where it belongs

Product marketing owns the positioning and approves factual product claims. AI tools can use those records to draft materials, not decide what the product promises.

Related use cases

Product marketing articles

Explain features, launches and use cases with current mechanics, limitations and buyer problems.

See the example

Sales narratives and decks

Use approved positioning, buyer criteria and evidence to brief a deck made in your presentation tool.

See the example

Product video briefs

Brief an external video agent or agency with approved mechanics, use cases, limits and brand guidance.

See the example

See how Oleno fits your product marketing workflow.

Bring the tools and a real assignment your team already uses. We'll show you which company records Oleno can make available and what the next step would look like.

Request a Demo