Your Buyers Ask AI About You

Before They Ask You About You

Up to 89% of B2B buyers consult generative AI before speaking to a vendor.


If models drift off-message, your revenue drifts with them.

AINSC-26 is the emerging narrative-governance standard

for the 2026 procurement landscape.


Memetic Labs is the first vendor operating at AINSC-26 L1–L3 implementation maturity

(L4 maturity in progress).

AINSC-26: The 2026 Standard for LLM Narrative Safety

AINSC-26 is a neutral working standard maintained independently at AINarrativeSafety.org.


It defines how organizations measure narrative exposure, detect drift, and align outputs across GPT, Claude, Gemini, and emerging models.

Memetic Labs contributed to early drafts of the specification and is the first vendor to publicly operationalize AINSC-26 across real-world brands, agencies, and crisis teams at L1-L3 maturity

LLM drift is not random. It forms in predictable layers.

If AI Misrepresents You, Revenue Disappears Quietly

When buyers use AI to evaluate your firm, they’re seeing a weighted composite of:

  • Outdated press

  • Reddit/YouTube commentary

  • Competitor messaging

  • Review spam

  • Cached search surfaces

  • Historical narrative representation

LLMs harden this noise into “facts”

This is surface contamination → propagation distortion → output exposure.

If 80–95% of your next buyers consult AI systems before you speak to them, then

80–95% of your pipeline is already mediated by what those systems believe about you.

Without measurement, your narrative and revenue drift silently.

External surfaces are the contamination layer. This is the root of all narrative distortion.

Your AINSC-26 Exposure Audit

(48 Hours)

The AINSC-26 Exposure Audit is the required first step before any remediation or ongoing drift operations.

It gives you board-grade visibility into how top models describe your firm today, where that story has drifted, and how much revenue is at risk if nothing changes.

  • map your current LLM narrative across GPT, Claude, Gemini, and peers

  • identify drift deltas and contamination sources that are driving misalignment

  • quantify narrative exposure and decision risk using an AINSC-26 aligned assessment rubric

  • assign your AINSC-26 readiness level (L0–L4)

  • receive a concise board-ready report and next steps

  • qualify for invite-only remediation and operations support

This is your on-ramp into narrative governance.

For Crisis & Strategic Comms Firms

  • Use the AINSC-26 audit as a pre-engagement diagnostic

  • Strengthen RFP responses with governance-grade AI risk data

  • Give clients model-level corrections they cannot generate in-house

  • Attach a neutral standard to your recommendations instead of opinion

  • Turn AI misalignment into a concrete diagnostic, not a vague concern.

For In-House Teams

  • Attach AINSC-26 findings to board decks and quarterly risk reports

  • Validate whether recent campaigns corrected LLM inaccuracies

  • Align Legal, PR, Product, IR, and Comms on a single narrative baseline

  • Quantify how much pipeline exposure AI drift is creating

  • Decide when to escalate into ongoing remediation and operations

AINSC-26 Readiness Ladder for Governance Maturity (L0–L4)

Most organizations operate at Level 0, unknown exposure.

By 2026, AINSC expects institutions to reach at least Level 2.

Partners, clients, and boards will increasingly require Level 3 as a minimum standard.

Visibility tools and GEO dashboards do not constitute AINSC-26 Level 2 readiness and may only partially contribute to Level 1 baseline inputs

AINSC-26 provides the maturity model your board will expect.

Quiet by Design

Our work rarely appears in public portfolios. AINSC-26 Exposure Audits run under strict confidentiality and are designed for:

  • board-level reviews and special committees

  • crisis response and reputation defense task forces

  • high-risk strategic comms teams with sensitive clients

  • firms that cannot afford AI-driven narrative deviations

If we do our job correctly, your narrative stays stable, your board sleeps better, and there is nothing public to point at.

After Your Audit:

We help you correct the public surfaces that drive drift.

The AINSC-26 Audit reveals where the models have drifted.

Our operations tier corrects targeted surfaces to keep them aligned.

Most tools show you charts. We show how AI drift is costing you real revenue, then we change the underlying surfaces the models learn from.

For a subset of high-risk clients, we turn AINSC-26 findings into an operations program that:

  • Seals contaminated surfaces across press, search, and social

  • Steers model outputs back toward an approved narrative baseline

  • Tracks drift deltas over time so that misalignment does not return

  • Alerts your team to high-risk drift events for rapid response.

Access to this tier is invite-only and begins with a completed AINSC-26 Exposure Audit.

How it works in 60 seconds

  • Step 1: Intake (60 sec)

    Short conflict screen and intake form to confirm fit and vertical.

  • Step 2: AINSC-26 Executive Snapshot (Optional)

    An indicative surface scan that flags drift signals early. Free for qualified organizations, valid for 5 days.

  • Step 3: AINSC-26 Exposure Audit (48 Hours)

    We probe top models, measure drift deltas, and deliver a concise board-ready report.

  • Step 4: Active Operations (Invite Only)*

    For high-risk cases, we maintain your narrative baseline over time and neutralize new drift.

If we do our job correctly, your narrative stays stable, your board sleeps better, and there is nothing public to point at.

FAQ's

What does Memetic Labs do?

Memetic Labs implements the AINSC-26 narrative safety standard. We measure how major LLMs describe your firm, quantify drift exposure, and correct misalignments across press, search, and social surfaces.

What is LLM drift?

LLM drift is when AI systems quietly shift away from your intended narrative because of outdated press, competitor content, review spam, or social commentary. The models keep learning, even when your brand is not in the room.

How do you measure drift?

We probe leading models with a structured battery of questions and compare outputs for inconsistencies, omissions, and contamination patterns across public surfaces. Findings are summarized as an AINSC-26 aligned exposure assessment with supporting evidence.

What do I receive in 48 hours?

You receive an AINSC-26 Exposure Audit that includes your readiness level, a drift delta summary, key contamination sources, and concrete options for remediation. Many clients attach this report directly to board updates or RFP responses.

Refund and Operations rules

Refunds, if any, are discretionary and intended to preserve delivery integrity in the rare event an assessment materially fails to deliver the scoped analysis.

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