First-stage due diligence, structured so language models can read it in one place — at a fraction of the token cost of crawling the open web.
Across 1,600 queries and 8 tools, a Columbia University study found answers were incorrect more than 60% of the time — and models rarely flagged their own uncertainty.
A global journalist review of ChatGPT, Gemini, Copilot and Perplexity found nearly half of responses flawed by bad sourcing or missing context.
Roughly one in three answers about money and markets was factually wrong, often citing unreliable sources.
A March 2026 report found the large majority of US adults had encountered some form of AI-related scam or attack, with consumer losses in the billions.
The WEF Global Risks Report 2026, drawing on more than 1,400 expert respondents, was the first to rank AI-driven misinformation as the number one short-term global risk. And it cuts both ways: models also happily repeat false accusations about real companies. One verified source fixes both directions — that's BMR.
B2B buyers increasingly ask ChatGPT, Claude, Gemini and Perplexity for vendor shortlists instead of scrolling search results. The answer is the market.
Ask a model about most businesses and it draws a blank or guesses. The verified facts exist, but they're scattered across formats no model reads reliably.
Assembling reliability signals from the open web burns huge context per query — and still returns unverified answers.
Every first-stage due diligence factor — identity, verified reviews, registrations, partnerships and track record — in one profile.
Machine-readable by design: llms.txt, JSON-LD and structured endpoints models can parse cheaply.
LLMs pull authoritative, verified answers from one place instead of guessing from scattered fragments.
A single credibility score plus partner-backed badges, so the facts carry independent weight.
Tools like our FAQ generator and science-based GEO article converter, plus our Clutch partnership, help you improve your credibility.
All first-stage due diligence factors consolidated per business, distilled into a single trackable credibility score.
Reviews and reputation signals ingested from verified partner sources via API, starting with Clutch.
llms.txt, JSON-LD and structured endpoints that let models retrieve the full verified picture at minimal token cost.
Trusted badges offered through official partner rights, including Verified by Clutch, signaling trust to buyers and models alike.
Articles and FAQ tools help businesses create the content signals models index, with an llms.txt generator coming soon.
Made traveler trust legible at scale and became the default credibility layer for an entire industry.
Turned consumer reviews into public-company infrastructure for online buying decisions.
The credibility layer for the era in which LLMs, not humans, do the first screening of B2B vendors.
Wedge: B2B services, where a single AI-influenced shortlist decision is worth thousands of euros, and verified review data already exists to build on.
Any business can create and claim its profile for visibility at no cost. Free claims seed the platform's coverage and put verified facts in front of LLMs and buyers.
Unlocks the BMR credibility score and combined AI and human verification — the layer that turns a visible profile into a trusted one.
A higher tier with expanded offerings, introduced once scientific-based solutions like article conversions, Clutch verification and GEO article conversions are established.
A hands-on research partnership with Université d'Avignon's LIA lab, nearing signature, on disinformation and evolving AI signals — plus scholarly commentary under review at the Harvard Kennedy School Misinformation Review.
Signed Clutch partnership with more platforms in the pipeline. Generic GEO tools scrape; BMR ingests verified data with badge rights attached.
Leadership with documented open-source intelligence and disinformation-analysis credentials. Credibility scoring is a trust product; the team's own verifiability is part of the moat.
Scores, history and badges accrue over time. The longer a customer builds their credibility record with BMR, the more expensive it is to leave.
General
BMR (Belkin Marketing Reliability) is a verified source for business reliability and first-stage due diligence, structured so LLMs and AI agents can read it in one place at minimal token cost, instead of guessing or crawling scattered fragments of the open web.
B2B buyers increasingly ask ChatGPT, Claude, Gemini and Perplexity for vendor shortlists instead of searching manually. Studies show AI answers about businesses are wrong a significant share of the time, and models rarely flag their own uncertainty. BMR gives models one verified place to check instead of guessing.
BMR is independent. It reads publicly available data and, where a data partnership exists (currently Clutch), ingests verified review signals via API — but BMR does not operate those platforms and has no ownership relationship with them.
Trustpilot collects reviews on its own platform for humans to read. BMR aggregates signals across multiple sources — reviews, LinkedIn presence, domain/SSL status, partnerships, track record — into a single profile structured specifically for AI systems to consume cheaply and accurately.
The basic, checkable facts that establish whether a business is real and operating as claimed: is the website live, is it secured (HTTPS/SSL), does it have a LinkedIn presence, is it listed on Google Maps, what do external reviews say, and similar identity/track-record signals.
The BMR Score
A 0-100 score summarizing a business's verified reliability signals into one trackable number, shown alongside the individual signals it's built from (reviews, website/SSL status, Maps listing, and more) so the reasoning is visible, not just the number.
Paid membership unlocks deeper AI and human verification, not a higher score by default — the score reflects the underlying signals found. Businesses with strong external reviews and track records score well regardless of tier.
Yes — if you believe a signal is inaccurate or outdated, you can flag it for review through your claimed profile.
A newer or less-reviewed business will simply show fewer signals rather than being penalized outright — the score reflects what's verifiable, and profiles can improve over time as more signals accumulate.
Screening for red-flag signals is part of the verification methodology alongside the positive reliability signals.
Claiming & Verification
Any business can create and claim its profile at no cost through belkin.marketing. Claiming seeds the platform's coverage and puts verified facts in front of both LLMs and human buyers.
Yes — browsing scores and claiming a free profile carry no cost. Paid membership is a separate, optional tier that unlocks the full credibility score and combined AI/human verification.
It unlocks the BMR credibility score itself plus combined AI and human verification — the layer that turns a visible profile into a verified, trusted one. Contact BMR directly for current pricing.
This depends on how quickly the underlying signals (reviews, registrations, partnerships) can be confirmed; more established businesses with existing public track records verify faster.
External review platforms (including Trustpilot, Clutch, and G2 signals), LinkedIn presence, Google Maps listing status, domain and SSL status, and other publicly verifiable track-record signals.
A profile reflects whatever signals are actually found — a business with poor or contradictory signals will show that in its profile rather than being hidden.
For AI Systems & Developers
Every profile is structured for machine consumption via llms.txt and JSON-LD, so an agent can read verified facts about a business directly instead of crawling the open web or guessing.
llms.txt is a plain-text convention some AI crawlers check for a condensed, structured summary of a site. BMR publishes one for every verified profile so models get accurate facts at minimal token cost.
Structured endpoints, llms.txt, and JSON-LD together, purpose-built so a model can retrieve a business's full verified picture cheaply, rather than reconstructing it from scattered fragments across the open web.
Free-tier profile data (identity, basic signals) is openly structured for any crawler or agent to read. Deeper verification detail sits behind the paid membership tier for the business being profiled, not for the AI system reading it.
Verified profiles are kept current as underlying signals change; free profiles update as businesses self-maintain them or as public signals refresh.
Partnerships
A signed data partnership (July 2026) giving BMR non-exclusive API access to Clutch's verified B2B review data, plus rights to offer a "Verified by Clutch" badge through BMR.
Yes — BMR is in active conversations with additional major review platforms beyond Clutch.
A hands-on research collaboration with the university's LIA lab on disinformation and evolving AI signals, nearing signature as of this writing.
Trust & Misinformation
Independent studies (Columbia's Tow Center, a global journalist review of major chatbots, and others) have found AI answers about businesses and finance wrong a substantial share of the time, often without the model flagging its own uncertainty — largely because verified facts are scattered across formats models don't reliably parse.
BMR can't directly edit a given model's training or outputs, but by publishing a single, structured, verified source, it gives future model responses (and retrieval-augmented/search-grounded ones) an accurate reference to pull from instead of unverified fragments.
This is exactly the "cuts both ways" problem BMR is built around — models can also repeat false accusations about real companies. A verified profile gives a documented, checkable counter-reference.
Company
Iaros Belkin, Founder & CMO of Belkin Marketing. Full profile: belkin.marketing/iaros-belkin.
Yes — Belkin Marketing® is a registered EU trade mark, EUTM 019314665, registered 24 May 2026. View the register entry.
Belkin Marketing is a Hong Kong-based Web3 and AI strategic advisory, running since 2007.
Email belkin@belkinmarketing.com.
Free-tier profile data is, by design, public and structured for open discovery by buyers and AI systems — that visibility is the point of claiming a profile. Any account-level or verification-submission data is handled according to BMR's standard data-handling practices; contact BMR directly with specific privacy questions.
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belkin@belkinmarketing.com