Managed service

We build and grow your AI Share of Voice.

We own the technical setup, expert-written content, and monthly Share of Voice reporting across the revenue-linked queries that matter to pipeline.

Built for B2B teams that want one accountable partner owning execution against a defined query set.

Every audit starts with your target queries, competitors, and realistic Share of Voice path.

Typical GEO retainer vs Inflect

Typical GEO retainer

Inflect managed program

Core promise
'Improved AI visibility'
A scoped Share of Voice target on revenue-linked query clusters
Execution
X articles per month
Technical setup, expert-written content, and active competitor displacement
Tracking model
Vanity metrics and snapshots
Monthly Share of Voice reporting across your defined query set
Query-level proof
No proof of exact search presence
See where you rank vs competitors by chosen queries
LLM referral coverage
Limited or missing
Track ChatGPT, Perplexity, and Claude referrals
Managed SOV Program

A managed program for one revenue-linked query cluster

For B2B teams that want one accountable partner owning technical setup, content execution, and monthly Share of Voice reporting.

$12,000/month

$72,000 total over a six-month engagement.

Designed for teams that want measurable progress, not ad hoc deliverables.

One revenue-linked query cluster with 3 to 5 priority searches

Four expert-written articles each month

A working Share of Voice target set during the audit and tracked monthly

Monthly review of technical progress, content output, and competitive shifts

We use the audit to confirm query scope, fit, and realistic operating targets before execution starts.

What we own inside the engagement

  • Full technical foundation in month one
  • Expert-written content with no AI filler
  • Monthly Share of Voice reporting on a defined query set
  • Competitor displacement strategy tied to target clusters
  • Dedicated account lead from kickoff onward
  • A six-month operating cadence built for measurable progress

Reporting scope

Primary Share of Voice reporting is ChatGPT-first because that is where the volume and referral signal are strongest for most teams.

Perplexity is included by default, and we expand Claude or other engines when they matter to the buying journey we are targeting.

We scope heavy technical debt during the audit. If there is meaningful cleanup beyond the standard foundation, we price that work explicitly before execution starts.

Who this is for

  • B2B teams with clear revenue-linked queries
  • Teams that want execution, not one-off strategy decks
  • Operators ready for a scoped six-month cadence

What the audit covers

  • Target query set and competitor set
  • Technical readiness and content opportunity
  • A realistic operating target and reporting model

Not a fit if

  • You want advisory only with no execution ownership
  • You do not have enough owned assets to support the program
  • You want guaranteed outcomes without scoped execution

What gets set up before the content engine starts compounding

Month one builds the technical foundation that makes the reporting and content program durable.

llms.txt configuration
Prioritize citation-ready pages and encode brand/product context for retrieval systems.
Schema markup
Implement Organization, Product, FAQ, HowTo, and SoftwareApplication schema on key pages.
Entity resolution
Remove ambiguity so model responses attribute claims to your brand correctly.
Internal linking
Structure authority flow across product, use case, and supporting content pages.
Canonical tags
Consolidate duplicate URL variants into one authoritative source per content asset.

If you want one accountable partner owning technical setup, content execution, and monthly proof of movement, start with the audit.

We use the audit to confirm your query set, competitors, technical readiness, and the operating path before the engagement starts.