Bots, autonomous AI, copy-and-paste content and delegated accounts make it unclear who actually created, reviewed or published a post. A verified account alone does not answer that question.
Social-content provenance
Verify more than the account. See the provenance of every post.
The four-colour provenance signal for HAI Content shows whether content was personally created, personally dictated and only refined by AI, personally approved, or published by an authorised team.
PAL IDHAI Sessionsocialmediaspal.com
Social-content provenance4.2
4defined measurement dimensions
posts with HAI Content status by colour1
active provenance filters per month2
server-confirmed publications3
1PAL ID
23Evidence
The problem today
Bots, autonomous AI, copy-and-paste content and delegated accounts make it unclear who actually created, reviewed or published a post. A verified account alone does not answer that question.
Shows how every social-media post was created and whether it was published personally or by an authorised team.
Account badges confirm the channel, not the creation and approval process behind each individual post. What is missing is a server-verifiable, filterable provenance label attached directly to the content.
Solution
A simple approach with system-wide value.
Shows how every social-media post was created and whether it was published personally or by an authorised team.
PAL ID authenticates the responsible person; HAI Session and HAI Action accompany the publication process.
When content is sent, SocialMediaPAL transmits a server-verifiable HAI Content status to the platform and adds a coloured provenance label to the post.
Red means personally created, blue means personally dictated and only refined by AI, green means personally reviewed and approved, and orange means published by an authorised team.
People and platforms can filter by the four provenance classes and, when desired, display only personally created or personally accountable content.
Benefits
One system. Three clear winners.
The four-colour provenance signal for HAI Content shows whether content was personally created, personally dictated and only refined by AI, personally approved, or published by an authorised team.
For people
Recognise provenance and accountability at a glance and filter the feed by the desired provenance classes.
For companies & institutions
Stronger brand safety, traceable approval chains, clear team roles and fewer disputes about who created or published content.
For professionals
Authors, press teams, politicians, brands and creators can clearly distinguish personal authorship, AI assistance, personal approval and team publication.
The four-colour provenance signal for HAI Content shows whether content was personally created, personally dictated and only refined by AI, personally approved, or published by an authorised team.
Visible on the content
The provenance signal for HAI Content.
Shows how every social-media post was created and whether it was published personally or by an authorised team.
Personally created
The account owner personally wrote, spoke or produced the content.
Personally dictated · AI refined
The idea and dictation came from the account owner; AI was used only for language refinement, correction or translation.
Personally approved
The account owner personally reviewed and expressly approved the finished content; the original draft may have come from another person or AI.
Authorised team
A clearly authorised team member published the content on behalf of the account; it is not a personal publication by the account owner.
Measurable from day one
The right metrics make progress and impact visible.
Recognise provenance and accountability at a glance and filter the feed by the desired provenance classes.
Potential
Transparent model. Counted once.
R03 is shared with creator, streaming and influencer offerings and is added only once. The provenance signal is SocialMediaPAL's central visible benefit and creates integration potential for platforms, brands, media and public communications.
Creator, social and streaming enablement
440 m USDUSD 44bn US creator advertising spend × 1%
Who pays: Social platforms, brands, agencies and publishers through API and enterprise agreements.
Model note: Market potential is not a revenue forecast. It is a modelled upper bound based on the stated assumptions; actual revenue depends on product maturity, contracts, regulation and market penetration.
Sources and evidence
The key assumptions remain traceable.
The evidence base is maintained centrally. Product claims require separate validation in pilots and contracts.
IAB Creator Economy Ad Spend & Strategy Report
This source supports the evidence base for the stated problem and market context. Open source ↗
C2PA Technical Specification 2.4
This source supports the evidence base for the stated problem and market context. Open source ↗
FTC – Social-media scams 2025
This source supports the evidence base for the stated problem and market context. Open source ↗
In brief
The first questions a new partner will ask.
Stronger brand safety, traceable approval chains, clear team roles and fewer disputes about who created or published content.
What makes this solution different?
Shows how every social-media post was created and whether it was published personally or by an authorised team. PAL ID authenticates the responsible person; HAI Session and HAI Action accompany the publication process.
Who benefits most?
Recognise provenance and accountability at a glance and filter the feed by the desired provenance classes. Stronger brand safety, traceable approval chains, clear team roles and fewer disputes about who created or published content.
Who carries the cost?
Social platforms, brands, agencies and publishers through API and enterprise agreements.
How should the potential be read?
R03 is shared with creator, streaming and influencer offerings and is added only once. The provenance signal is SocialMediaPAL's central visible benefit and creates integration potential for platforms, brands, media and public communications. Market potential is not a revenue forecast. It is a modelled upper bound based on the stated assumptions; actual revenue depends on product maturity, contracts, regulation and market penetration.
Let us define the right pilot.
Capital, technology, hardware partnerships and market access can be built in parallel around a clearly bounded first application.