Noma vs seoClarity
Two AI search visibility tools, compared on what each one tracks, what it costs, and which problem it is actually built to solve.
- seoClarity is an enterprise SEO platform, and its published pricing says so plainly. Research & Content starts at $2,500 a month, Technical SEO at $3,200 and Enterprise at $4,500, all priced on domains and keywords tracked. That is a procurement decision, not a subscription.
- They do have a named AI search product. Clarity ArcAI tracks brand citations and mentions in AI search and monitors accuracy. Their pricing page does not state which tier includes it, what it costs separately, or which AI engines it covers.
- Noma names its five engines and starts on a trial. ChatGPT, Perplexity, Gemini, Claude and Grok, polled daily, with the source page behind each citation recorded, share of voice per prompt, unlimited seats, and 14 days with no card before you commit anything.
- The gap here is scope and scale, not quality. seoClarity is built for large organisations running complex SEO programmes across many domains. Noma does no SEO at all. If you are that organisation, these are complements. If you are not, seoClarity is not sized for you.
Why AI search visibility needs its own tool
seoClarity has spent nearly two decades building an enterprise SEO platform, and its pricing reflects exactly who that is for. Packages start at $2,500 a month and are priced on the number of domains and keywords tracked, which is the shape of a tool bought by organisations with dedicated SEO teams and multi-domain estates.
They have also built Clarity ArcAI, which tracks brand citations and mentions in AI search. That is a real product rather than a checkbox, and this page does not pretend otherwise. What their pricing page does not say is which package includes it, what it adds to the bill, or which engines it watches.
Everything said about seoClarity here comes from their published pricing page as checked on the date above, and where they publish nothing this page says so rather than guessing.
What to look for in an AI visibility tool
Four questions separate tools that change what a team does from tools that add a dashboard. They are worth asking of both products below, and of whatever you are using today.
Engine coverage and cadence
A tool that watches four engines cannot tell you about the fifth, and an infrequent reading cannot separate a real shift from noise. Ask which engines are covered and how often each is polled before anything else.
Mentions versus citations
Knowing you were mentioned is a score. Knowing which page the engine drew on is a task list. If a marketplace listing is cited instead of your own product page, that is a fixable problem you cannot see from mention counts alone.
Prompts, not keywords
Nobody types "best sunscreen oily skin india" into an assistant; they ask a question. A prompt set assembled from real customer questions gives a different — and more honest — visibility picture than one derived from a keyword export.
Recommendations you can action
Most tools in this category are good at telling you that you are absent. The useful ones tell you why, and rank the fixes by expected impact so a content team knows what to write first.
Noma vs seoClarity, feature by feature
| Capability | Noma | seoClarity |
|---|---|---|
| What it is | A tool built only for AI search visibility | An enterprise SEO platform with an AI search product |
| Entry price | 14-day free trial, no card; paid plans after | Research & Content from $2,500/month |
| Higher packages | Custom | Technical SEO from $3,200; Enterprise from $4,500/month |
| How it is priced | By plan | By domains and keywords tracked |
| AI search product | The whole product | Clarity ArcAI — brand citations and mentions in AI search |
| Which tier includes the AI product | Every plan | Not published |
| Cost of the AI product | Included | Not published |
| AI engines named | Five — ChatGPT, Perplexity, Gemini, Claude, Grok | Not published |
| Polling cadence | Daily | Not published |
| Citation source tracking | Records which page each engine cited | Not published |
| Team seats | Unlimited on every plan | Unlimited on the Rankings package; not published elsewhere |
| Keyword research, technical audits, rank tracking at scale | Not offered, and not planned | The core product |
| Creator marketing | Included via Nia — free, 10M+ profiles | Not offered |
| Paid media analysis | Included via Pulse — Google and Meta Ads | Not offered |
Rows come from seoClarity’s public pricing and product pages as checked at publication. “Not published” means their documentation does not state a position, not that the answer is bad. “Not offered” means outside the product’s stated scope, and a row saying so is a note about what each one sets out to do rather than a criticism.
Where Noma fits
Noma runs your category prompts against ChatGPT, Perplexity, Gemini, Claude and Grok on a schedule and records whether your brand is named in the answer each one generates. Five engines, polled daily — the fifth being Grok, which most tools in this category do not cover.
Being mentioned is only half the reading. When an engine cites a page, Noma records which page: your own site, a marketplace listing, a review roundup, or a competitor’s blog. That is the difference between knowing you are invisible and knowing what to do about it. Alongside the mention it captures the wording used to describe you, because being named as a budget option is a different outcome to being named as the category leader.
Share of voice is measured per prompt rather than as one site-wide number, because visibility is never uniform across a category — most brands are strong on a handful of questions and absent on the rest. The prompt set is built from questions customers actually ask rather than from a keyword list, and the recommendations that come back are ranked by expected impact: the pages to write, the wording to fix, the structured data to add.
Noma also sits on one platform with Nia for creator marketing and Pulse for paid media, so AI visibility can be read next to the channels competing with it for budget. Whether that matters depends entirely on whether you have those problems too.
What Noma actually measures
The rest of the platform: Noma for AI search visibility, Nia for creator marketing and attribution, Pulse for Google and Meta Ads — or how the three apply in your category.
Where seoClarity fits
seoClarity is built for a job Noma does not attempt and could not do: enterprise SEO across large domain estates, with technical auditing, rank tracking at scale and a keyword corpus to match. Organisations running that kind of programme need that kind of platform, and the pricing is honest about who it is for. Clarity ArcAI being a named product rather than a feature bullet also suggests they are treating AI search as real work rather than a marketing response, which is more than several competitors on this list can say.
What it does not cover
- Which package includes Clarity ArcAI, and what it costs, are not published, so the price of AI search visibility specifically cannot be established before a sales process.
- The AI engines covered are not named, which is the first thing worth knowing about an AI visibility tool.
- Entry is $2,500 a month, so finding out whether AI search matters in your category is a procurement decision rather than a fortnight.
- Polling cadence is not published, so how quickly a change in the answers reaches the dashboard is unknown.
- Whether the source page behind a citation is recorded is not published, and that is what separates a score from a list of pages to fix.
Which one your team actually needs
Category presence, before it is gone
AI answers name two or three brands and stop. There is no tenth position to occupy and no long tail to fall back on — you are in the answer or you are not in the consideration set at all. The number worth reporting upward is share of voice across the questions customers actually ask, tracked over time, because it moves slowly and then all at once.
A discipline that diverges from ranking
AEO shares fundamentals with SEO — crawlability, structured data, credible sources — then parts company on what counts as success. A page can rank third for a keyword and never be named by an engine answering the same question. Measuring the two with one tool produces a confident answer to the wrong question.
What to write, in what order
Citation source data turns AEO from a theory into a queue. If engines are quoting a review roundup for your category, the work is getting into that roundup. If they are quoting a competitor’s comparison page, the work is writing a better one. Both are concrete; a visibility score is not.
The cost of finding out
For a brand that has not yet established whether AI search matters in its category, the first question is what it costs to find out. A trial that needs no card answers that in a fortnight. A monthly commitment answers it in a procurement cycle.
What a rollout looks like
AI visibility is not a switch. This is the sequence that gets a team from “we think we are missing from these answers” to a trend a content team can work against.
Phase 1 — Baseline
Week 1–2- Build the prompt set
Start from the questions customers ask in your category rather than from a keyword export. Twenty good prompts beat two hundred derived ones.
- Name the competitors you care about
Share of voice is only meaningful against a defined set. Pick the brands you actually lose to.
- Take the first reading
Establish where you appear, where you do not, and which sources engines cite instead of you. This is the number everything after is measured against.
Phase 2 — Fix the sources
Week 3–8- Answer the question in the first two sentences
Engines quote what is quotable. A page that opens with positioning and reaches the answer in paragraph six will not be cited.
- State facts that can be verified and attributed
Add the structured data that lets an engine attribute a claim to your brand rather than to whoever restated it.
- Get into the roundups engines already cite
If a third-party comparison is the source for your category, being absent from it is the whole problem. That is outreach work, not on-page work.
Phase 3 — Hold and widen
Ongoing- Read the trend weekly, not daily
Answers move as models and their sources update. Weekly is enough to tell a shift from noise in most categories.
- Widen the prompt set as the category moves
New questions appear. A prompt set fixed at launch slowly stops describing the category it was built for.
- Judge it against the rest of the budget
Nia for creator and Pulse for paid sit on the same platform, so AI visibility can be read next to the channels competing with it for spend.
The verdict
If you run enterprise SEO across a large estate, seoClarity is a serious platform and Noma is not a substitute for any of it. The question is narrower: what should you use for AI search visibility. On that, seoClarity has a real product whose price, tier, engine list and cadence are all unpublished, and Noma has one that names five engines, polls daily, records the source page and starts on a fortnight with no card. For an organisation already deep in seoClarity, adding ArcAI is the path of least resistance. For everyone else, $2,500 a month is a lot to spend before you know whether the category needs watching.
Choose Noma if
- You want the engine list, cadence and price stated before you commit
- AI search visibility is the problem, not enterprise SEO across many domains
- $2,500 a month is not the right way to find out if the category matters
- You need the page behind each citation, not only a mention count
- AI visibility should sit beside creator and paid performance in one place
Choose seoClarity if
- You run enterprise SEO across multiple domains and need it all in one platform
- Technical auditing and rank tracking at scale are core to your work
- You are already a seoClarity customer and adding ArcAI is the shortest path
Common questions
Does seoClarity track AI search visibility?
Yes, through Clarity ArcAI, which their site describes as tracking brand citations and mentions in AI search and monitoring accuracy. Their pricing page does not state which package includes it, what it costs on its own, or which AI engines it covers, so those are worth asking directly.
What does seoClarity cost?
Their published packages start at $2,500 a month for Research & Content, $3,200 for Technical SEO and $4,500 for Enterprise, with a Rankings package on custom pricing. All are priced on the number of domains and keywords tracked. ArcAI pricing is not published on that page.
What is the difference between Noma and seoClarity?
seoClarity is an enterprise SEO platform with an AI search product inside it. Noma does only AI search visibility: five named engines including Claude and Grok, polled daily, with the source page recorded for each citation, share of voice per prompt and unlimited seats, starting on a 14-day trial with no card. Noma does no keyword research, technical auditing or rank tracking.
Can Noma replace seoClarity?
Not for enterprise SEO. If you use seoClarity for rank tracking across a domain estate, technical audits and keyword research, Noma replaces none of that. The only overlap is AI search visibility, and there the two are genuinely comparable.
Which AI engines does Noma track?
ChatGPT, Perplexity, Google Gemini, Claude and Grok — five engines, polled daily, on every plan, with the source page recorded for each citation and share of voice measured per prompt against competitors you name.
Is Noma suitable for enterprise teams?
For AI search visibility, yes, and unlimited seats make it easier to roll out across content, SEO, brand and leadership than tools that charge per head. What it is not is a replacement for an enterprise SEO platform, and any enterprise evaluating it should treat it as a specialist tool alongside one rather than instead of one.
seoClarity is a trademark of its respective owner. Nurdd is not affiliated with, endorsed by or sponsored by seoClarity. Marks and product names are used only to identify the products being compared, and every claim about seoClarity was taken from their own public pages on the date shown above.
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