What are Trust Flow and Citation Flow?
Trust Flow (TF) and Citation Flow (CF) are backlink metrics created by the link-intelligence company Majestic, each measured on a logarithmic scale from 0 to 100. Together they describe both the quality and the quantity of the links pointing at a domain — and reading them side by side tells you things a single authority score can hide.
Most authority metrics compress everything into one number. Ahrefs Domain Rating (DR), for example, blends the quantity and quality of a backlink profile into a single 0–100 figure. Majestic took a deliberately different route: it publishes one metric for how many links a site has earned and a second for how trustworthy those links are. That separation is the whole point. A domain can score well on one and poorly on the other, and the gap between the two is often the most revealing thing you'll learn about it.
Because the scale is logarithmic, the effort required to climb it grows steeply. Moving a domain from TF 10 to TF 20 is far easier than moving it from TF 40 to TF 50 — each additional point represents disproportionately more trusted linking than the last. This is the same reason a jump from DR 70 to DR 75 is enormous compared with a jump from DR 20 to DR 25.
Citation Flow (CF): The Quantity Signal
Citation Flow predicts how influential a URL might be based purely on the quantity of links pointing to it, and how well-linked those linking pages are in turn. Think of it as a popularity-by-volume score: the more links flowing into a domain — and the more links the pages doing the linking have themselves — the higher the Citation Flow climbs.
The critical thing to understand is that Citation Flow makes no judgement about quality whatsoever. A domain can build a high CF from thousands of automated comments, low-value directories, scraped-content sites, or a spun-out network of junk pages. On its own, a high Citation Flow tells you only that a domain is heavily linked — not that any of those links are worth having. This is exactly why CF should never be read in isolation, and why a seller quoting a big Citation Flow number without the matching Trust Flow is telling you almost nothing useful.
Trust Flow (TF): The Quality Signal
Trust Flow measures the quality and trustworthiness of a domain's backlinks. Majestic calculates it by starting from a manually reviewed seed set of trusted, authoritative websites — think established institutions and widely-respected publishers — and then measuring how closely a given domain is linked to that trusted neighbourhood through its referring domains.
Trust is modelled as something that "flows" outward from those seed sites and weakens with every link hop. A domain that earns a link directly from a trusted source inherits a lot of that trust; a domain three or four hops removed inherits very little. Because the seed set is curated and trust decays with distance, a high Trust Flow is genuinely difficult to fake. Editorial links from reputable, on-topic sites raise it; links from link farms, expired-domain networks, and spun-content blogs barely move it at all. That resistance to manipulation is what makes Trust Flow one of the more reliable single indicators of a healthy link profile.
It also helps explain why buying a handful of real authority links does more for a domain's standing than accumulating hundreds of weak ones: trust concentrates in proximity to genuinely trusted sources, not in raw link counts.
The TF/CF Ratio: The Number That Actually Matters
Neither figure means much alone — the relationship between them is where the insight lives. Divide Trust Flow by Citation Flow and you get a ratio that reveals whether a domain's link volume is backed by real trust or is mostly noise.
| TF/CF Ratio | What It Suggests | Verdict |
|---|---|---|
| 0.8 – 1.0+ | Trust closely matches (or exceeds) citation volume | Excellent — strong, natural profile |
| 0.5 – 0.8 | Healthy balance of quality and quantity | Good — safe for most uses |
| 0.3 – 0.5 | Many links, but limited trust behind them | Caution — investigate the sources |
| Below 0.3 | High citation volume with very little trust | Red flag — likely spam or manipulation |
Two worked examples show why the ratio beats either raw number. Domain A reports TF 25 and CF 30, a ratio of 0.83 — the trust nearly matches the volume, which is the fingerprint of a profile built on genuine, editorially-earned links. Domain B reports TF 6 and CF 45, a ratio of just 0.13; the CF looks impressive in a listing, but the near-absence of trust tells you the links are overwhelmingly low quality. If those two domains were priced the same, Domain A is the obvious buy despite its lower headline Citation Flow — and Domain B is precisely the kind of inflated profile that catches out buyers who screen on a single number.
A useful sanity check: a domain with a strong ratio but modest absolute numbers (say TF 15 / CF 18) is usually safer than one with a weak ratio and big numbers (TF 10 / CF 60). Small and trustworthy beats large and hollow almost every time.
Topical Trust Flow: Trust With Context
Majestic also breaks Trust Flow down by subject area, a feature called Topical Trust Flow. Instead of one overall score, it shows the categories — for example "Health", "Finance", or "Computers/Internet" — in which a domain earns its trust, inferred from the topics of the sites linking to it.
This matters enormously for niche relevance. A domain with Topical Trust Flow concentrated in your niche is far more valuable than one with the same overall TF scattered across unrelated categories, because relevant trust is what actually helps you rank for relevant queries. It's also a fast red-flag detector: if you're evaluating what looks like a fitness domain but its Topical Trust Flow is dominated by gambling, adult, or pharmaceutical categories, that mismatch is strong evidence the domain was used for spam or has an incoherent, manufactured link profile. Real sites accumulate trust in the topics they actually cover.
Trust Flow vs Ahrefs Domain Rating
Trust Flow, Citation Flow, and Domain Rating all try to describe backlink authority, but they come from different companies crawling the web independently, with different indexes and philosophies. A few practical consequences follow from that, and understanding them stops you drawing the wrong conclusion when two tools disagree.
First, the raw numbers rarely line up, and that's normal — Majestic and Ahrefs simply see different slices of the web, so a domain might be DR 35 in one and TF 22 in the other without any contradiction. Second, they answer different questions: DR gives you a single blended verdict, while Majestic hands you the quality-versus-quantity split to interpret yourself. The strongest approach is to use them together rather than picking a favourite. A domain that looks solid on DR and carries a healthy TF/CF ratio is a genuinely safe bet; one that scores well on only a single metric deserves a much harder look. For a deeper treatment of how competing authority scores relate, see our guide on Domain Authority vs Domain Rating.
How to Use TF/CF When Buying Domains
When you evaluate an aged or expired domain, treat Trust Flow and Citation Flow as an early filter and a cross-check rather than a final verdict. Start with the ratio: a TF/CF of 0.5 or higher is a reasonable pass mark, and anything well below it means you should open the backlink report and see where the citations are actually coming from before going further. Prioritise Trust Flow over raw Citation Flow throughout — a domain with TF 20 and moderate CF will almost always serve you better than one with tiny TF and enormous CF, because you're buying trust, not link count.
From there, confirm that the Topical Trust Flow lands in your niche, since relevant trust is worth far more than generic trust for ranking in your topic. Then cross-reference the picture against other signals — a low ratio frequently travels alongside a high domain spam score and a backlink profile full of junk, so inflated CF with weak TF is often the first thread you pull on a manipulated domain. Finally, never rely on Majestic alone: verify your read across at least one other tool, because each index has blind spots. Our comparison of domain metrics tools explains what each one actually measures and where they diverge.