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Omnius review

CONDITIONAL for AI Search Optimization

Worth a conversation about AI Search Optimization once the caveats below are settled.

A B2B SaaS and fintech SEO agency with a named GEO practice, a real named-client roster, and a published, unusually candid account of why AI visibility tracking is unreliable - undercut by unpriced bespoke-only engagements and AI-visibility percentages sold without the method behind them.

Pricing: several published tiers Reported — not published by the agency
Third-party directory rates for the firm contradict each other: Clutch lists a $5,000+ minimum project size and $25-$49/hr, while DesignRush lists $100/hr and 'Inquire' for minimum budget. source ↗

Score 3.2/5Confidence: lowLast evaluated 2026-08-27Website

How it scored

Every dimension is scored against this discipline’s published rubric. Open one to see the claim it was scored on, what the rubric measures there and how much it weighs, and where the evidence came from.

How we scored this

We read the agency’s public record first-hand — its site, pricing, case studies and independent reviews — and score what is checkable: what is published, not how it is phrased. There is no keyword counting or sentiment scoring. The label is a judgment on those facts, which is why each dimension shows the fact that decided it, the band it was judged against, and the sources — so you can check the call, and tell us if you think it is wrong. The full method, and who pays, is on how we vet.

Method specificity and technical substanceAdequate

Adequate — 3 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 25% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Strong 9 · Adequate 6 · Weak 1. The typical agency here scores Strong, and 9 of them score higher than this one.

What this dimension measures: What the firm actually does, described concretely enough to evaluate: content restructuring for extractability, entity and knowledge-graph work, schema, source and citation-footprint building, presence on the corpora assistants actually draw from, llms.txt and crawler access. Be sceptical of anything indistinguishable from ordinary SEO sold at a premium under a new name: if the described method is only 'good content and schema', say so plainly in the verdict rather than crediting the label.

Scores high — Named, specific techniques tied to how retrieval works score 4-5.

Scores low — 'We optimise for AI' with no described mechanism scores 1-2.

What we found — The /geo-agency page lists roughly 22 named techniques, and a few of them are genuinely retrieval-specific rather than SEO relabelled: llms.txt file creation, AI crawler access (the /ai-search-audit page commits to a 'fully indexable site for GPTBot'), and deliberate presence on the third-party corpora assistants actually draw from (Reddit, Quora, G2, Gartner Peer Insights, LinkedIn). That is more than 'we optimise for AI'. But the depth stops there. Their own explainer at /blog/best-geo-strategies reduces GEO to six items - avoid heavy JavaScript, write direct-answer content, use Bing Webmaster Tools, add FAQ/HowTo schema, earn citations on niche sites, keep content fresh - and never reaches retrieval mechanics, chunking, embeddings or entity resolution. Schema markup, standard practice since 2011, is presented there as a GEO technique. The firm itself frames the offer as 'SEO + GEO, Not SEO vs. GEO', and on the evidence that framing is accurate: the majority of the described method is ordinary SEO under a newer label, with a genuine but narrow AI-specific layer on top. 'Citation engineering' - embedding 'citation triggers' so an assistant treats content as authoritative - is asserted on the sales page and nowhere explained. That is between the two bands, which is why it scored Adequate.

On the record — “The firm's published GEO technique list is largely conventional SEO: avoid heavy JavaScript, write direct-answer content, use Bing Webmaster Tools, add FAQ/HowTo schema, earn citations on niche sites, keep content fresh. Retrieval mechanics, chunking, embeddings and entity resolution are not discussed.” omnius.so ↗

On the record — “Omnius ranks itself first in its own published list of the best AI search optimization agencies, above six named competitors, with no disclosure on the page that the publisher is the ranked party.” omnius.so ↗

Evidence: vendor stated — the agency’s own claim, recorded as theirs rather than ours.

Measurement honestyStrong

Strong — 4 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 20% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Excellent 1 · Strong 5 · Adequate 9 · Weak 1. The typical agency here scores Adequate, and 1 of them score higher than this one.

What this dimension measures: How the firm proposes to prove anything, in a setting where outputs are non-deterministic and vary by user, session and region. Look for a described tracking approach with its limits acknowledged: prompt sets, sampling frequency, variance handling, and how a citation is attributed.

Scores high — A stated method that names non-determinism as a limit scores 4-5.

Scores low — Vague 'we track your AI visibility' scores 2-3. A firm presenting single-prompt screenshots as measurement scores 1-2 — one answer on one day is an anecdote, and treating it as a metric is the characteristic error of this category.

What we found — Unusual for this category: they publish the caveats in plain sight. /blog/how-ai-llm-tracking-and-monitoring-tools-work states that 'AI models give different answers to the same question', lists the variance sources ('slight changes in phrasing, previous conversation context, user location or session, random model sampling'), names the prompt-set coverage gap ('Tools track a fixed set of prompts - maybe dozens or hundreds. Real users ask countless variations'), reports observing tools that showed brands 'ranked #1' while manual testing returned completely different answers, and concludes 'Treat synthetic metrics as directional signals for macro trends, not precise KPIs.' That is the honest description the rubric asks for. It is scored Strong rather than Excellent because the sales surfaces do not follow their own advice: /case-studies presents '+164.44% AI search traffic in 6 months' and a self-case of '47% Average AI visibility' as precise figures, with no prompt set, no model list and no attribution method attached - exactly the synthetic-metric-as-KPI move the blog post warns against. That is the high band above, which is why it scored Strong.

On the record — “Omnius publishes an explicit statement of AI-visibility measurement limits: that models give different answers to the same question, that variance comes from phrasing, conversation context, user location or session and random model sampling, that fixed prompt sets of dozens or hundreds miss most real queries, and that synthetic metrics should be treated as directional signals rather than precise KPIs.” omnius.so ↗

On the record — “Omnius ranks itself first in its own published list of the best AI search optimization agencies, above six named competitors, with no disclosure on the page that the publisher is the ranked party.” omnius.so ↗

attribution — working out which marketing touch actually caused a sale. Good practice names its model and its blind spots; bad practice quotes each ad platform’s self-graded numbers, which overlap and overclaim.

Evidence: verified — checked against a named source you can open; the links under Sources below are where to check it yourself.

Claim disciplineAdequate

Adequate — 3 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 20% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Strong 5 · Adequate 7 · Weak 4. The typical agency here scores Adequate, and 5 of them score higher than this one.

What this dimension measures: Weighted unusually high because this category's defining risk is overclaim, not opacity. No vendor controls what an assistant says. Also flag results claims presented without the prompt set or timeframe that produced them, and any implication that the firm has privileged access to a model's ranking.

Scores high — A firm that states plainly what it cannot guarantee scores 4-5.

Scores low — Guaranteed rankings, guaranteed citations, guaranteed 'first result in ChatGPT', or claimed partnerships with model providers score 1-2 and must be named in red_flags.

What we found — Read the homepage, /geo-agency, /seo and /ai-search-audit: no guaranteed rankings, no guaranteed citations, no money-back performance promise, and no claimed partnership or privileged access with OpenAI, Anthropic, Google or Perplexity. /geo-agency uses probability language - 'maximizing the probability of ranking high on AI engines' - which is the correct register. Against that, two things pull the score down. First, the AI-specific results figures carry timeframes but not the prompt set or attribution method behind them, and the homepage runs a cumulative '188M+ registered users' attributed to their work since founding, a number no buyer can decompose. Second, the firm publishes 'best agency' listicles on its own domain - /blog/best-ai-optimization-agencies ranks Omnius first out of seven, above Avenue Z, Digital Elevator, MarketMuse, iPullRank, XQL Group and Perrill - with no disclosure on the page that the publisher is the ranked party. That is marketing shaped as an independent comparison. That is between the two bands, which is why it scored Adequate.

On the record — “No guaranteed ranking, guaranteed citation, or claimed model-provider partnership appears on the homepage, /geo-agency, /seo or /ai-search-audit. The GEO page uses probability language: 'maximizing the probability of ranking high on AI engines'.” omnius.so ↗

On the record — “Omnius ranks itself first in its own published list of the best AI search optimization agencies, above six named competitors, with no disclosure on the page that the publisher is the ranked party.” omnius.so ↗

attribution — working out which marketing touch actually caused a sale. Good practice names its model and its blind spots; bad practice quotes each ad platform’s self-graded numbers, which overlap and overclaim.

Evidence: verified — checked against a named source you can open; the links under Sources below are where to check it yourself.

Evidence of work and named clientsStrong

Strong — 4 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 15% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Strong 9 · Adequate 7. The typical agency here scores Strong, and none scores higher than this one.

What this dimension measures: Attributable client work. Be lenient on volume and strict on attribution: this category is young enough that a short roster is expected, but a long roster of unnamed logos is not evidence. Where a firm's OWN brand is demonstrably visible in AI answers, note it as a real if partial signal — it is at least a claim about themselves they cannot make privately.

Scores low — Named clients with described engagements score 4-5; anonymised or absent scores 2-3.

What we found — A real, attributable roster rather than a logo wall. /case-studies carries named clients with results and timeframes - ANNA Money (+60% weekly signups, +164.44% AI search traffic, 6 months), TextCortex (2.73M organic clicks, 13 months), Myos (+227.9% signups, 6 months), AuthoredUp (+110% organic growth, 6 months), HotelSync, Global App Testing - and each has its own project page. Testimonials are attributed to named individuals with titles, e.g. Ivana Todorovic, Co-founder and CEO of AuthoredUp, quoted on /projects/authoredup. The firm also makes a checkable claim about itself (+138% AI clicks, 47% average AI visibility), which the rubric treats as a partial signal since it is a claim it cannot make privately. Capped at Strong for two reasons: every corroborating page I could find sits on omnius.so, and the AI-search-specific portion of the roster is thinner than the roster overall - AuthoredUp's engagement is web build and CRO, and the clearest GEO evidence is ANNA Money appearing in AI Overviews for company-formation queries plus Omnius's own self-case.

On the record — “Named clients with described engagements and timeframes are published individually, including ANNA Money, TextCortex, Myos, AuthoredUp, HotelSync and Global App Testing, with testimonials attributed to named individuals and titles (e.g. Ivana Todorovic, Co-founder and CEO, AuthoredUp).” omnius.so ↗

On the record — “Omnius ranks itself first in its own published list of the best AI search optimization agencies, above six named competitors, with no disclosure on the page that the publisher is the ranked party.” omnius.so ↗

attribution — working out which marketing touch actually caused a sale. Good practice names its model and its blind spots; bad practice quotes each ad platform’s self-graded numbers, which overlap and overclaim.

CRO — conversion-rate optimization: raising the share of visitors who buy or sign up through structured testing, not redesign by taste.

Evidence: vendor stated — the agency’s own claim, recorded as theirs rather than ours.

Scope and pricing transparencyWeak

Weak — 2 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 10% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Excellent 3 · Strong 4 · Adequate 3 · Weak 6. The typical agency here scores Adequate, and 10 of them score higher than this one.

What this dimension measures: Note contract length: long lock-ins are hard to justify in a category this young, where nobody can evidence a twelve-month outcome yet, and a firm offering short or month-to-month terms should be credited for it.

Scores low — Published prices, ranges or defined packages score 4-5; ranges on request score 2-3; bespoke-only scores 1-2.

What we found — Nothing priced anywhere on their own site. Homepage, /geo-agency, /seo, /ai-search-audit and /contact-us all route to a form or 'Book a Call' with no figure, no package tier and no stated contract length or minimum term. The only published numbers are on third-party directories and they disagree with each other: the Clutch profile (clutch.co/profile/omnius-0) lists a $5,000+ minimum project size and a $25-$49 hourly rate, while DesignRush lists $100/hr and 'Inquire' for minimum budget. Two directory rates differing fourfold is not a published price. The nearest thing to a commitment on their own site is timeline rather than cost - /ai-search-audit says most clients see outcomes in 'two to three months', with 'more significant results' at 6-12 months - and /seo builds strategy around '12-month KPIs', which implies an annual planning horizon in a category where nobody can yet evidence a twelve-month outcome.

On the record — “Third-party directory rates for the firm contradict each other: Clutch lists a $5,000+ minimum project size and $25-$49/hr, while DesignRush lists $100/hr and 'Inquire' for minimum budget.” clutch.co ↗

On the record — “No pricing, package tier, minimum engagement or contract length is published anywhere on the agency's own site; all routes end at a contact form or 'Book a Call'.” omnius.so ↗

Evidence: partly checkable — corroborated in part against the sources below; the remainder rests on the agency’s own account.

Stronger here: Cubitrek scores Excellent on the same dimension.

Durability and adaptationAdequate

Adequate — 3 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 5% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Strong 7 · Adequate 9. The typical agency here scores Adequate, and 7 of them score higher than this one.

What this dimension measures: Whether the firm acknowledges that the surfaces move, and describes how it adapts: monitoring for model and interface changes, revisiting method, published research or original testing.

Scores high — Evidence of ongoing testing and updated method scores 4-5.

Scores low — A static playbook presented as settled practice scores 2, since nothing in this category has been stable long enough to be settled.

What we found — They do publish continuously and recently - dated GEO articles through August 2026, a GEO Industry Report, and a tracking-tools piece that reflects how current AI visibility tools actually behave, including a first-hand observation of tools misreporting rank against manual checks. They also operate a proprietary tracking product, Atomic AGI, described on /projects/anna-money and /ai-search-audit as monitoring AI search visibility, which implies continuous observation of the surfaces. What is missing is original testing with a disclosed method: the GEO Industry Report is a synthesis of third-party statistics (TechCrunch, MarTech.org, Ahrefs correlation figures) with no sample size, model list, prompt design or test dates of their own. Active publishing is not the same as published research, so this is credited as ongoing attention rather than evidenced adaptation. That is between the two bands, which is why it scored Adequate.

On the record — “The GEO Industry Report is a synthesis of third-party statistics (TechCrunch, MarTech.org, Ahrefs) rather than original testing; no sample size, model list, prompt design or test dates are disclosed.” omnius.so ↗

On the record — “Omnius ranks itself first in its own published list of the best AI search optimization agencies, above six named competitors, with no disclosure on the page that the publisher is the ranked party.” omnius.so ↗

Evidence: vendor stated — the agency’s own claim, recorded as theirs rather than ours.

References and review baseWeak

Weak — 2 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 5% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Excellent 2 · Strong 6 · Adequate 6 · Weak 2. The typical agency here scores Strong, and 14 of them score higher than this one.

What this dimension measures: Independent, verified reviews. Low weight and low expectations: most firms here are under two years old, so an absent review base is a fact about the category's age rather than a finding about the vendor.

Scores low — A substantial verified base scores 4-5; a handful scores 2-3; none located scores 2.

What we found — No independent review base could be read first-hand. Their Clutch profile at clutch.co/profile/omnius-0 is genuinely theirs - London and Belgrade, founded 2020, 10-49 staff, omnius.so - and shows 0.0 with zero verified reviews. Two other Clutch profiles named Omnius belong to unrelated companies (clutch.co/profile/omnius is a 2003 software development firm in Xalapa, Mexico), so anyone citing 'Omnius on Clutch' should check which one. A G2 seller page for the name exists but returned HTTP 403 and could not be read, so no rating or review count from it is cited here. DesignRush displays no rating. This is a low-weight dimension and a firm founded in 2020 selling a service line that barely existed two years ago is expected to be thin here - it is a fact about the category's age more than a finding about the vendor.

On the record — “The firm's genuine Clutch profile shows 0.0 out of 5 with zero verified reviews (London and Belgrade, founded 2020, 10-49 employees, omnius.so).” clutch.co ↗

On the record — “Real 404 control: https://www.omnius.so/this-page-cannot-possibly-exist-9f3k2 returned HTTP 404 Not Found, and every page read returned content matching its URL.” omnius.so ↗

Evidence: inferred — our reading of indirect evidence, not a documented fact.

Stronger here: Intero Digital scores Excellent on the same dimension.

Verdict

Omnius is a services agency, not a tracking product, and GEO/AEO is a named practice line rather than a bullet on a services menu: there is a dedicated /geo-agency page, an /ai-search-audit offer with staged deliverables, and a proprietary monitoring tool called Atomic AGI. The site is legible, the 404 control returned a real 404, and every page read matched its URL. What a buyer gets, though, is mostly conventional B2B SEO with a genuine but narrow AI-specific layer on top - and the firm says so itself, framing the offer as 'SEO + GEO, Not SEO vs.

GEO'. The AI-specific parts that hold up under reading are crawler access for GPTBot, llms.txt, and deliberate placement on the third-party sources assistants draw from (G2, Gartner Peer Insights, Reddit, Quora). The rest of the published method - schema, FAQ and HowTo structure, content freshness, citation authority, Bing - is ordinary SEO practice, and their own GEO explainer presents schema markup as a GEO technique when it has been standard since 2011.

Anyone paying a premium specifically for the label should know that most of what is described they would get from a competent SEO retainer.

The most creditable thing on the site is a blog post about how AI visibility tools work. It states plainly that models return different answers to the same question, lists the variance sources, explains that fixed prompt sets of dozens or hundreds cannot cover what real users ask, reports observing tools that showed a brand ranked first while manual testing returned something else entirely, and tells readers to treat synthetic metrics as directional signals rather than precise KPIs. That is a more honest account of measurement in this category than most firms selling in it will put in writing.

The problem is that the sales pages do not obey it. The case-study index advertises '+164.44% AI search traffic in six months' for ANNA Money and '47% average AI visibility' for Omnius itself - precise-looking figures with no prompt set, no model list and no attribution method - which is the exact error the blog post warns against. The honesty exists; it just has not reached the pages a prospect actually reads before signing.

On claims, the firm is comparatively disciplined. Across the homepage, the GEO page, the SEO page and the audit page there is no guaranteed ranking, no guaranteed citation, no 'first result in ChatGPT' promise, and no claimed partnership or privileged access with any model provider - the GEO page instead talks about maximising the probability of ranking, which is the right register. Two things still sit badly.

The homepage runs a cumulative '188M+ registered users' figure attributed to their work since founding, which no buyer can decompose or check. And Omnius publishes 'best agency' listicles on its own domain in which it ranks itself first - seven agencies on the AI-search-optimization list, Omnius at number one, no disclosure anywhere on the page that the publisher is also the winner. Presented as a comparison, it is advertising.

The client evidence is real and better than the category average: named companies with individual project pages, results with timeframes, and testimonials attributed to named people with titles, including AuthoredUp's co-founder and CEO. The caveats are that all of it lives on omnius.so - no independent confirmation of any engagement was locatable - and that the AI-search portion of the roster is thinner than the roster as a whole, since several flagship cases are traditional SEO, web build or CRO work. Commercially, the site is opaque: no price, no package, no contract length, no minimum term, only a form.

The two directory listings that carry numbers contradict each other by a factor of four. On references, their real Clutch profile shows zero verified reviews and the G2 seller page could not be read, so no rating is cited here; for a firm founded in 2020 selling a service line barely two years old, that is unremarkable. What a buyer still cannot establish: what an engagement costs, how long they are locked in, which models and how many prompts the AI-visibility percentages were measured across, and whether any third party has said anything about the work.

What you can do next

Koolav can make the introduction and handle the back-and-forth, or you can go straight to the agency.

Visit their website

This agency has not published a paid trial. What a paid trial is.

What we verified

Each claim below was checked against a named source, last on 2026-08-27. Follow any of them and check for yourself — that is the point of publishing them.

No independent reviews found

No independent review base could be read first-hand. The firm's genuine Clutch profile (clutch.co/profile/omnius-0 - London and Belgrade, founded 2020, 10-49 staff, omnius.so) shows zero verified reviews. A G2 seller page under the name exists but returned HTTP 403 and could not be read, so no rating or count from it is cited. DesignRush's profile shows no rating. Note that two other Clutch profiles named Omnius belong to unrelated firms - clutch.co/profile/omnius is a software development company in Xalapa, Mexico, founded 2003. All testimonials located were published on the agency's own domain.

Not finding one is not a mark against the agency and does not move the score. It does mean there is no third-party record to set against ours — so this verdict rests on the rubric and the sources above, and nothing else.

Red flags

What we could not verify

Sources

Others we evaluated in AI Search Optimization

Same rubric, same evaluator, same date range — so these are directly comparable to the verdict above.

See all 17 AI Search Optimization agencies we evaluated →

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