Skip to main content

Oleno for SEO Specialist

A keyword isn't a reason to write the page.

The query has volume. The search results are full of versions of the same article. Use the buyer problems, product details and evidence in Oleno to decide whether your company has something useful to add. Bring your search data into the planning work in your AI tool.

How it works in your tools

Company strategy in Oleno

The positioning, product details, buyer knowledge and evidence your team maintains.

Permissioned MCP retrieval

Work in your AI tools

Ask your compatible AI tool to retrieve the company information it needs, then use it to plan, create and review the assignment.

Team review

Example workflow: your connected AI tool requests the relevant information. Your team checks the work it creates.

Good volume. What would we actually say?

A topic can fit the keyword plan without helping a buyer understand a decision. You need to know who is searching, what they're trying to solve and whether your product experience gives you a credible angle. Search evidence helps establish the opportunity. Current company knowledge helps you decide what the page should contribute.

Work through a real assignment

What this looks like for SEO specialist

Bring the brief, research and source material for your project. These workflows show which company records to request, what to ask your connected AI tool to make and where to review the result. The tool needs the supported connections and permissions for the job.

01Example workflow

Qualify an opportunity from Search Console

When a Search Console export shows queries worth investigating and you need to choose where to spend editorial time.

Bring your own inputs

Provide the real query/page export and current search-result observations. Oleno does not ingest Search Console data automatically.

How MCP access works
Ask Oleno for the relevant context

Retrieve the category position, buyer needs, feature mechanics and problems your product can credibly address.

Connection details
marketingaudiencespersonasproductsproduct_featuresuse_cases

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 Oleno's current positioning, buyers, use cases and product truth. I attached our Search Console export. Sort these query clusters by buyer relevance, available product evidence and content gaps rather than search volume alone. For the top five, explain the intended reader, a specific angle and what we still need to research. Don't estimate rankings from Oleno.

What you make

A prioritized opportunity list with an intended reader, a defensible page angle and the evidence still needed.

What you review

Check search intent against current results and use your SEO data to decide which opportunities to pursue.

02Example workflow

Brief a buyer-focused comparison page

When a comparison query points to a real buying decision and you can help explain the tradeoffs.

Bring your own inputs

Bring current official competitor documentation and a representative sample of the search results.

How MCP access works
Ask Oleno for the relevant context

Use buyer evaluation criteria, known alternatives, verified product differences and approved proof to shape the page.

Connection details
competitorsbuyer_enablementproduct_featuresmarketingstories

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
Use Oleno MCP to read our competitor, product, buyer-objection and positioning records. Combine them with the official competitor material I attached. Draft a comparison-page brief that helps a buyer decide: who each option fits, decision criteria, supported differences and what evidence we still need. Do not invent weaknesses or write a disguised product pitch.

What you make

A comparison brief that explains who each option fits and what a buyer should investigate before choosing.

What you review

Verify every vendor-specific claim against a dated source before publication.

03Example workflow

Choose which published page to refresh

When a page loses traffic or product details change and you need to decide whether a refresh is worth doing.

Bring your own inputs

Bring page-level performance exports and the current article from your analytics, SEO and publishing tools.

How MCP access works
Ask Oleno for the relevant context

Retrieve the current positioning, product mechanics, evidence and buyer question the page needs to answer.

Connection details
marketingproduct_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 toolClaude or ChatGPT
Read current Oleno product and buyer context before evaluating this published article and the page-level Search Console data I attached. Distinguish search-performance hypotheses from factual drift. Identify exactly which claims or sections need refreshing, what new evidence to gather and what could be left alone.

What you make

A focused refresh brief separating outdated facts from search-performance hypotheses, with specific edits and research needs.

What you review

Use the search data to prioritize the work. Verify factual changes and approve the edits before updating the page in its publishing tool.

The decisions stay with your team

You decide which opportunities to pursue and how to measure them. SEO and analytics tools supply the search evidence. Oleno contributes buyer knowledge, product facts and research your team adds; it does not promise rankings, traffic or AI citations.

The keyword looks good. What’s the article going to say?

Choose the angle with buyer questions, product knowledge and evidence alongside the search data.