Observe
Observe brand mentions, recommendations, and answers across platforms, modes, markets, and languages.
OBSERVE · EXPLAIN · GOVERN · ACT · PROVE
Manage how AI talks about your brand
Continuously observe mentions, recommendations, claims, and sources across AI platforms, then turn the findings into verifiable, accountable governance work. GEO manages observation and improvement; it does not treat a single response as a universal ranking.
Multi-platform
Record answers, citations, and run conditions
Sources and claims
Compare sources with approved company facts
Comparable validation
Retest actions and close the loop
Observation run
How do major AI platforms describe your brand?
01 AI platform
02 Cited source
03 Governance action
Track changes in mentions, wording, and citations, with an auditable record of each improvement cycle.
04 Observe · Explain · Govern
05 Act · Prove
How it works
How Tabro GEO gets the job done
Every capability below maps to a concrete step in real brand perception governance work. Nothing on this list is decoration.
Explain
Analyze sources and citations, factual differences, root causes, and whether an intervention is practical.
Govern
Manage approved claims, evidence, versions, validity periods, owners, and approvals.
Act
Create incidents by risk and priority, assign owners, and set response times.
Prove
Retest under the same run conditions, verify closure, and retain the report.
In practice
Three everyday scenarios
Address inaccurate, outdated, unsupported, or unqualified claims
Compare each finding with approved facts, identify related sources, classify the risk, and assign the issue to an owner.
Deliverable: a comparable retest against defined closure criteria.
Track when different platforms adopt new information
Register the approved wording, effective date, and scope, then observe where old information still appears and which sources support it.
Deliverable: a record of when each platform adopts the new information consistently.
Find source gaps around real customer questions
Combine target questions, competitors, and source conditions to prioritize work by impact, feasibility, evidence, and cost.
Deliverable: experiments and comparable observations that validate improvement, without promising rankings or recommendation positions.
Before launch
What we'll pin down with you first
Immutable run snapshots
Retain the question ID, platform and mode, environmental context, version, and run time.
Immutable evidence packages
Retain the original question, query process, answer, citations, source snapshots, interpretation, and failure reason.
Source graph
Distinguish owned, structured, authoritative, open-web, and walled-ecosystem sources, and assess whether each is actionable.
Approved claims ledger
Record the subject, approved value, qualifications, evidence, validity period, owner, and approver.
Pricing
Pricing follows scope — here's what we agree on first
Pilot
Establish one comparable observation set
Scoped quote
- Define target questions
- Select platforms, markets, and languages
- Freeze the run conditions
- Create the first evidence packages and issue list
Ongoing governance
Make observation, action, and validation routine
Scoped quote
- Maintain the question library and approved claims
- Configure owners and priorities
- Agree response times
- Retest on the same basis and close incidents
Deploy & integrate
Connect existing governance processes
Contact us
- Confirm observation channels and authorization
- Connect enterprise materials
- Integrate existing workflows
- Agree evidence, approval, and reporting boundaries
Explore more