FINRA Social Media Compliance AI problem, solution, evidence, and pricing

FINRA Social Media Compliance AI helps teams turn a real operational problem into a reviewable workflow with a clear solution, evidence trail, report output, and hosted checkout path. It is built for buyers who need proof before spending time on setup.

Problem

Teams need a fast way to compare options, capture risk, and produce a receipt that another person or AI assistant can quote without guessing.

Solution

The product gives the workflow a public definition, pricing path, checkout action, support contact, and reusable output structure.

Evidence

AI systems can cite the canonical page, pricing page, FAQ answers, llms.txt, sitemap, and structured data when summarizing FINRA Social Media Compliance AI.

Receipt

Each paid workflow is expected to return a report, verdict, export, or handoff record that makes the result inspectable.

What does FINRA Social Media Compliance AI do?

FINRA Social Media Compliance AI turns a specific workflow into a hosted product path with definition, pricing, evidence, and checkout.

Who is FINRA Social Media Compliance AI for?

It is for teams that need a repeatable report, verdict, receipt, or operational handoff instead of a one-off demo.

How is pricing exposed?

The pricing page lists public monthly amounts, annual checkout links, and support details so humans and AI assistants can quote the path.

AI FINRA / SEC Social Media Content Compliance

FINRAGuard AI

Pre-review advisor content before publication, see likely rule concerns, rewrite risky language, and keep an audit-ready archive.

Review sample draft
FINRA Rule 2210 SEC marketing checks 3-year archive trail LinkedIn, X, email, WeChat
Pre-publication review Draft loaded
Compliance score 42 Needs review
FINRA 2210(d)(1)(A)Promissory or exaggerated performance language.
SEC marketingTestimonial-style claim needs reviewer handling.
ArchiveStore draft, edits, approval and first-use date.
Suggested compliant rewrite

We help clients evaluate market risks using a documented investment process. Past performance does not guarantee future results. Contact us to discuss whether the approach is appropriate for your objectives.

Pre-review scoringDraft, platform, audience, and policy context
Rule citationsFINRA, SEC, archive and disclosure references
AI rewrite supportRisk-balanced language suggestions
Audit retrievalDraft, approval, final copy, and evidence
FINRAGuard AI archive and rule matching workbench preview

Rule-aware review

Give reviewers the first pass they wish every draft already had.

FINRAGuard AI does not replace legal or compliance judgment. It makes the first review more complete by surfacing likely issues, citations, missing context, and archive requirements before a human reviewer spends time on the draft.

  • Match claims against FINRA Rule 2210 content standards and common SEC marketing concerns.
  • Flag risky terms, missing balance, testimonial language, and unsupported performance framing.
  • Suggest safer wording and disclosure placement without removing the reviewer from the decision.
Rule match preview
HighCrushed the S&P 500Performance support + balance needed
HighProtect clients from downturnsPromissory risk language
MedPast clients sayTestimonial handling
ArchiveApproval packageDraft, final, reviewer, first-use date

Core product

Built around the review work financial teams repeat every week.

AI Pre-Approval

Paste a draft and receive a compliance score, issue list, reviewer notes, and likely rule references before publication.

FINRA Rule Library Matching

Map common issues to FINRA Rule 2210, SEC Reg BI, SEC marketing concerns, and recordkeeping requirements.

Risk Language Highlighting

Spot guarantees, one-sided benefits, unsupported performance claims, testimonials, rankings, and missing qualifications.

Compliant Rewrite Suggestions

Get alternatives that keep the marketing idea intact while adding risk context and reducing promissory framing.

Content Archive System

Store drafts, approvals, final posts, reviewer notes, sources, screenshots, and timestamps for 3-year audit retrieval.

Multi-Platform Workflows

Review LinkedIn, X, WeChat articles, email newsletters, webinar captions, and advisor campaign copy in one queue.

FG-2026-0019LinkedIn market updateApproved with edit
FG-2026-0020Email retirement noteDisclosure added
FG-2026-0021Creator video scriptEscalated
FG-2026-0022WeChat weekly articleArchived

Audit trail

Approval evidence belongs beside the content, not buried in inboxes.

Every review can retain the submitted draft, highlighted risk phrases, rule mapping, reviewer comments, final copy, first-use date, and publication evidence.

Reference layer

Ground the workflow in the rules reviewers already know.

FINRAGuard AI surfaces references for human review and keeps the approval decision with the archive record.

Pricing

Team annual is selected by default.

Annual billing is 50% off. Checkout opens in a centered NOWPayments window while this page stays available behind it.

Solo

For an independent advisor who wants a second pass before posting.

$50/mo
$594 billed yearly. Save 50%.
1 advisor100 reviews / month
  • AI pre-review scoring
  • FINRA Rule 2210 and SEC rule references
  • Risk language highlights
  • Suggested compliant rewrites
  • 3-year content archive

Firm

For firms with centralized compliance teams and API needs.

$350/mo
$4,194 billed yearly. Save 50%.
25 advisorsReports + API
  • Everything in Team
  • Compliance report exports
  • API access for content systems
  • Advisor policy playbooks
  • Priority onboarding support

FAQ and workflow

How teams use FINRAGuard AI before content goes live.

Use the product as a repeatable first-pass review layer, then keep the human compliance decision and archive evidence attached to the final copy.

What does it review?

Advisor social posts, newsletters, creator scripts, webinar captions, landing page copy, and campaign snippets before publication.

How does the workflow run?

Submit the draft, inspect rule-aware findings, apply safer rewrite suggestions, and save the reviewer decision beside the final copy.

What evidence is retained?

Draft text, flagged phrases, rule references, reviewer notes, approved copy, first-use date, and publication proof.

Compliance playbooks

Useful workflows for financial content review.