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AI visibility for agencies

Turn AI visibility into client work you can prove.

Measure the buyer questions that shape each client’s shortlist, trace the evidence behind every answer, and turn the gaps into recurring GEO deliverables.

  • Eight answer engines
  • Up to 15 brands
  • No site install
Client portfolio
Example workspace
Active brands06
Tracked prompts184
Open actions27
Share of voicePortfolio movement
Last 30 days
Client workspaceStatusMovement
HR HR softwareReport ready+8.4%
AC Accounting SaaS4 gaps open+3.1%
CM Commerce platformBaseline runningNew

One prompt definition across eight answer engines

ChatGPTClaudeGeminiPerplexityGoogle AIOCopilotGrokKimi

A repeatable service line

From first scan to monthly client work.

Start with evidence the client can inspect. Keep the same prompt set attached to every action and every report.

Baseline

Show the client where they stand

Run the buyer prompts that matter, preserve every answer, and identify which competitors and sources shape the shortlist.

Deliver

Turn gaps into scoped work

Separate content, technical, positioning, and authority gaps so the next recommendation maps to a real agency deliverable.

Prove

Report the answer movement

Rerun the same prompts and show changes in brand presence, position, citations, and share of voice without rebuilding the report by hand.

Client-ready evidence

The score is the summary. The answer is the work.

Open every result into the prompt, exact response, competitor position, cited sources, and next action. Your strategist can explain the finding, your writer can act on it, and your client can verify what changed.

Explore visibility tracking
Captured answer
What are the best customer support platforms for a growing SaaS team?

The shortlist changes by team size and workflow. Your client is recommended when shared inbox, onboarding speed, and reporting depth are the priority.

Brand named
Yes
Shortlist
2nd of 4
Citations
3 sources
Next action
Strengthen comparison evidence

Built for a portfolio

Keep every client separate. Keep the method consistent.

Use the same evidence model across client brands without flattening them into one generic benchmark. Each workspace keeps its own category, competitors, prompts, cadence, and action queue.

Discuss a portfolio rollout

Portfolio view

Keep client brands, prompts, competitors, and evidence separate.

Eight engines

Compare the same buyer question across the default answer engines.

Client-ready evidence

Open the exact answer, brand position, competitors, and cited pages behind every score.

Action queue

Give the client a ranked next move tied to a prompt and a source gap.

Social monitoring

Track relevant LinkedIn, Reddit, and X conversations alongside answer-engine movement.

Team access

Scale includes up to 50 members, workspaces, API access, SSO, and agency reporting.

One-client pilot

Prove the workflow before you pitch the portfolio.

Start with one client brand, one category, and the questions buyers ask before they visit a vendor site. Build the baseline, review the first gaps, and take a concrete report into the next client conversation.

Run the pilot

Questions

Before you add AI visibility to the retainer.

Can I manage multiple client brands?

Yes. Scale includes 500 tracked prompts, up to 15 brands, 50 members, workspaces, API access, SSO, agency reporting, and priority support. You can validate the workflow on one client before moving a portfolio.

What can I put in a client report?

Each result includes the exact captured answer, brand presence, recommendation position, competitors, sentiment, and cited sources. Trend views show how those signals change when the same prompt runs again.

Does Sonarvue replace our SEO reporting stack?

No. Rankings, links, and traffic still belong in your SEO stack. Sonarvue adds answer-level evidence: what the engine said, which brand it recommended, and which sources shaped that response.

How should an agency start?

Start with one client, one category, and 10 to 25 buyer prompts. Build the baseline, review the first gaps with the client, and expand only when the data creates useful recurring work.