3P Smart - GEO Target Source List

Engagement parameters

1. The distillation

On the TOFU/MOFU/BOFU tags

you were right. I re-screened all 50 prompts by hand. Six prompts tagged BOFU are pure how-to with no vendor intent ("How can I improve payment error management…", "How can treasurers optimize cross-border payment workflows…"). Five prompts tagged MOFU are unambiguous vendor-selection ("What tools are available for payment reconciliation…", "What features should I look for in an automated payout platform…", "What are key factors to evaluate when comparing bulk payment solutions…"). Net: 21 genuinely commercial, of which 12 are hard vendor-seeking.

2. The three findings that decide the strategy

2.1 smartbulkpayments.com is not in the index for any of this

ownDomainPageCount = 0 across all three lineages - 254 queries (Jul), 147 queries (Jul), 71 queries (Jun). Not cited, not even surfaced in a search call. That is 3,479 source occurrences without a single one of yours.

2.2 OpenAI does not read the listicle ecosystem - at all

Of the 35 most-cited pages in the Jul-30 BOFU set, OpenAI cited zero. Of the 27 cross-provider consensus pages, OpenAI appears in zero.

OpenAI's entire cited footprint in this set is 17 pages, all regulatory: FinCEN, OFAC/Treasury, PCI SSC, BIS.

The June control shows why. OpenAI's actual search strings for "What factors should businesses consider when choosing between different payment service providers for mass payouts?" were:

PCI Security Standards Council PCI DSS v4.0 overview service providers obligations
OFAC sanctions screening requirements payments processors payouts obligations
PSD2 payment institution license vs electronic money institution payouts EU guidance
agent of payee exemption money transmitter state law overview 50 state marketplace
Adyen MarketPay payouts documentation
Wise supported payout currencies and routes list

And for contractor payment tools:

site:remote.com contractors · site:stripe.com/connect · site:rippling.com · site:wise.com · site:help.bill.com · site:payoneer.com

OpenAI also fans out far harder - 15–39 sources per query vs 9–10 for Anthropic/Grok - and cites almost none of it.

2.3 Reddit and LinkedIn are a Grok/Perplexity channel, not an OpenAI/Anthropic/Gemini one

Across 254 BOFU queries:

13 of the 23 cited social pages are Grok-only. On the June control it is 7 cited social pages out of 1,036.

Review sites are worse: 3 pages total across G2, Capterra, TrustRadius, Gartner, GetApp, Trustpilot, Product Hunt combined. Trade press is worse still: 5 pages total across PYMNTS, Finextra, The Paypers, Forbes, TechCrunch, CoinDesk, Cointelegraph, American Banker, FinTech Futures, CFO.

3. The target source lists

S1 - Answer-Owners (19 pages) · fe32bb78

Cited by ≥3 providers, ≥2 times, on the hardest 147 vendor-selection queries. This is the map of who currently is the answer. Every one of these names competitors and none names you.

Finix's listicle alone appears on 19 distinct queries across 5 prompts - the single highest-leverage page in the entire dataset.

S2 - Winnable Placements (32 pages, 17 domains) · 30a3898d

Neutral, adjacent or agency publishers that rank but do not compete with you on mass payouts. This is your outreach list.

Tier A - crypto-payout-relevant, high citation share, single-page domains (easiest wins):

• thenextweb.com - "Why global businesses are moving to crypto mass payouts" - 4 citations, all 4 providers, 100% citation share
• paymentsjournal.com - "Why Crypto Will Be the New Standard for Global Payouts" - 3 citations, Anthropic + Gemini + Perplexity, 100% share
• bcbgroup.com - "Crypto payment gateway: how to choose the best solution" - 3 citations, 100% share
• ifxpayments.com - "Bulk payment solution: How to choose the right one" - 3 citations, 100% share
• y.uno - "How to choose a payout provider" - 3 citations, Gemini, 100% share

Tier B - reconciliation & AP listicles that accept vendor submissions:

• optimus.tech - 8 pages incl. "Top 5 payment reconciliation platforms 2026", "Best AI Reconciliation Tools 2026"
• lunos.ai - "11 Best Automated Payment Reconciliation Software for 2026" - 100% share
• zoneandco.com - "Top AP automation software solutions", "Tipalti competitors"
• scnsoft.com - "Payment Automation: Use Cases, ROI, and Costs" - 100% share
• digipay.guru, sdk.finance, mtfxgroup.com, moneynetint.com, fire.com, qolo.io, unit21.ai
• gartner.com Peer Insights - 3 market pages (b2b-payments-software, financial-reconciliation, AP applications)

S3 - Competitor-owned answer real estate (37 pages) · d78ed000

tipalti, trolley, routable, usedots, connectpay, payquicker, thunes, highradius, moderntreasury, finix, netsuite, dwolla, checkout, pega, rillion, airwallex, payoro. Do not run outreach at these. They are the content you have to displace, and they are the template for what you publish yourself. Note the shape: every one is a /learning-center/, /resources/learn/, or /blog/ explainer - not a product page.

S4 - OpenAI's lane (18 pages) · fc4742e8

FinCEN (7), PCI SSC (7), OFAC/Treasury (3), BIS (1). 17 of 18 carry ?utm_source=openai. These are unwinnable as placements - you cannot get on fincen.gov. Their value is as a content spec: they tell you exactly which regulatory anchors OpenAI wants a payout provider's answer grounded in.

S5 - Social/UGC reality check (23 pages) · 16d357ef

Kept as the evidence file for the "no Reddit campaign" decision. Note the two Reddit threads that were cited are the interesting ones - r/Freelancers "Anyone switched off Stripe or Tipalti for payouts?" and r/smallbusiness "Best crypto payment gateway for a small business". Both Grok-only.

4. Recommended strategy

Do not run a Reddit campaign. Do not run a LinkedIn campaign.

For your three priority providers combined they produced 1 citation across 254 BOFU queries. A Reddit programme buys you Grok and some Perplexity. If Grok matters later, revisit; today it is a rounding error against your stated priorities.

Do not run a fintech PR campaign either.

PYMNTS, Finextra, The Paypers, CoinDesk, Cointelegraph, American Banker combined = 5 surfaced pages, and they are not the pages that get cited. Trade press is read by humans, not by these models, for these questions.

Split the strategy by provider. They are not the same problem.

OpenAI - the three moves

1. Fix entity resolution first. Your site audit scores this 2/10 - five competing identities (3P Smart LTD / Smart Bulk Payments / BulkPayments / Trade Venezuela USDT / legacy Pilsenga), no About page, Organization.name disagreeing with WebSite.name, and Pilsenga terms still live. OpenAI cannot put you in the candidate set if it cannot resolve who you are. This is the single highest-ROI action in the whole programme and it is cleanup, not engineering.
2. Build the pages OpenAI's verification queries would hit. It searched Wise supported payout currencies and routes list and Adyen MarketPay payouts documentation. You need the smartbulkpayments.com equivalents: a supported-currencies-and-corridors page, a public API/payout docs page, a settlement-and-timing page, a fees page with Offer/PriceSpecification schema. Factual, tabular, crawlable, no marketing prose.
3. Ground your compliance pages in S4's exact anchors - FinCEN MSB registration, OFAC screening obligations, PCI DSS v4.0 service-provider scope, PSD2 PI vs EMI. Cite them explicitly. That is the vocabulary OpenAI is retrieving. Handle the EEA/UK reverse-solicitation framing carefully here - describe the regulatory landscape, do not market into it.

Anthropic + Gemini - the two plays

4. Targeted listicle outreach - ~15 emails, not "every listicle out there". Go at S2 Tier A + Tier B only. The Tier A pages are single-article domains with 100% citation share: when the model surfaces them, it cites them every time. Getting added to thenextweb.com's crypto-mass-payouts piece or bcbgroup.com's gateway-selection guide is worth more than 50 generic directory listings. Blanket outreach to S3 (Tipalti, Trolley, Routable, Dots) is wasted effort - they sell against you.
5. Out-publish, don't just get listed. The pages that win are explainer/learning-centre content, not product pages. You have one asset none of them have: per-recipient blockchain transaction hashes as proof of payment. Nothing in the 129-page corpus covers hash-level payout traceability, and "How can I ensure traceability for each payment in a mass payout operation?" is already a live prompt where a competitor (Radom) picked up a citation. Publish the definitive piece on payout traceability, exception handling and reconciliation for crypto mass payouts. It is uncontested ground.

Sequencing

Metrics: SixWings AI visibility runs 81487eda (30 Jul 2026, 5 providers) and 81aee90b (26 Jun 2026, 5 providers). "Citation" = source cited in the answer; "search appearance" = source retrieved but not necessarily cited.