Quick verdict
| Choose | Best when you need |
| AiDisco | A commercially focused AI visibility system that maps the full buyer Prompt Universe and converts narrative, answer-share and competitor gaps into prioritised action. |
| Omnius | An AI-native SEO and GEO agency specialising in SaaS, fintech and AI, with proprietary tracking technology and combined traditional and AI-search execution. |
| Compare both | You operate in B2B technology and need to decide between AiDisco’s buyer-answer framework and Omnius’s sector-specialist SEO-plus-GEO model. |
What is AiDisco?
AiDisco is a specialist AI SEO and discoverability agency focused on whether brands are understood, cited, selected and recommended. Its system is: Map the Prompt Universe → Interpret AI narratives → Measure Share of Answer → Find White Space → Act.
It separates general visibility from high-intent buyer visibility and prioritises action by commercial relevance. Its stated fit includes SaaS, agencies, outsourcing, employer-of-record providers and professional services.
What is Omnius?
Omnius is a B2B SEO and AI-search optimisation agency working exclusively with SaaS, fintech and AI companies. Its AI SEO service combines research, prompt testing, LLM benchmarking, content, source-based backlinking, technical AEO and ongoing monitoring.
Omnius also built AtomicAGI, its in-house analytics technology. Its methodology uses structured prompt sets, repeated runs, entity extraction, citation tracking, sentiment analysis and AI-referred traffic and conversion data.
AiDisco vs Omnius at a glance
| Area | AiDisco | Omnius |
| Primary positioning | AI visibility and discoverability specialist | AI-native B2B SEO and GEO agency |
| Core industries | Broader applicability, including SaaS, agencies, outsourcing, EOR and professional services | Exclusively SaaS, fintech and AI companies |
| Prompt method | Full buyer Prompt Universe across discovery to selection | Structured prompt sets grouped by category, use case, comparison, alternatives, pricing and integrations |
| Narrative analysis | AI Narrative Intelligence covering category, attributes, claims and competitor framing | Sentiment accuracy, contextual framing and misclassification monitoring |
| Visibility metric | Share of Answer under a defined relevant answer set | AI visibility, mention rate and share of voice within prompt clusters |
| Buyer-intent metric | Separate Share of Buyer Answer for comparison, shortlist and selection prompts | Funnel stages and high-probability queries are tracked; a separately named buyer-answer metric is not clearly defined publicly |
| Opportunity analysis | Defines Prompt, Buyer and Narrative White Space | Citation opportunities, competitor gaps and weak platform coverage; an equivalent three-part White Space framework is not publicly defined |
| Technology | Method-led agency service; proprietary platform details are not publicly documented | AtomicAGI, an in-house AI-search analytics platform |
| Content | Prompt-led, answer-first and citation-ready content | Product, feature, use-case, blog and programmatic content built for SEO and LLM citation |
| Technical work | Schema, entity consistency, crawlability, structure and internal linking | Strong technical SEO and AEO, including rendering, JavaScript, schema, architecture and crawler access |
| Authority work | Platform listings, third-party validation, citations and source influence | Source-based backlinking and authority building across Reddit, Quora, G2, Gartner Peer Insights and LinkedIn |
| Public proof | Directional AI-search case study with downstream commercial outcomes | Larger library of quantified SaaS, fintech, AI, SEO and GEO case studies |
| Pricing | Public AI SEO pricing guide; AI-first tier shown at $10,000–$15,000+ monthly | Custom pricing; no verified public minimum found |
| Best fit | Organisations prioritising buyer-answer coverage and commercial White Space | SaaS, fintech and AI companies wanting integrated SEO and GEO |
How their methodologies differ
AiDisco starts with the complete Prompt Universe
AiDisco defines the Prompt Universe as the complete set of commercially relevant questions customers ask across a category. It includes discovery, problem, evaluation, comparison, risk, price and final-choice questions.
The purpose is to avoid selection bias. A small, hand-picked prompt list may show that a brand appears while missing the questions that actually determine consideration and purchase.
Prompts are separated by buyer stage, use case, decision criterion and commercial value. Branded, non-branded and direct comparison prompts are treated differently because they answer different questions about recognition, discovery and competitive framing.
Omnius combines structured prompt research with SEO and GEO
Omnius also has a detailed prompt methodology. Its public measurement guidance recommends defined query sets, multiple runs per engine and separate prompt clusters for categories, use cases, comparisons, alternatives, pricing and integrations.
Its audit maps high-probability queries to funnel stages and uses those findings to guide content production, technical work and citation opportunities. Omnius therefore should not be described as using only a basic selected-prompt approach.
The distinction is narrower: AiDisco productises the complete buyer-question market as the governing commercial scoreboard. Omnius uses structured prompt sets inside a wider SEO-plus-GEO growth system.
AI Narrative Intelligence and brand framing
Visibility is not only whether a brand appears. A company can be mentioned but placed in the wrong category, associated with outdated information or framed as weaker than a competitor.
AiDisco’s AI Narrative Intelligence analyses how AI systems describe, categorise, compare and make claims about a brand. It examines recurring attributes, strengths, weaknesses, factual accuracy, competitor framing, source influence and narrative movement before recommending action.
Omnius publicly documents a comparable capability through sentiment accuracy and contextual framing. Its process breaks answers into brand statements, checks polarity and subjectivity, flags outdated information and records incorrect categories, positioning or industry classifications.
Both agencies therefore address narrative quality. AiDisco presents it as a dedicated strategic layer connected to buyer-answer share and White Space. Omnius integrates it into its AI visibility analytics and content workflow.
Share of Answer and Share of Buyer Answer
AiDisco defines Share of Answer as the percentage of a defined relevant answer set in which the brand appears, with mentions, citations and recommendations reported under a clear rule.
It then separates Share of Buyer Answer: presence within the high-intent prompts buyers use to compare, shortlist and choose providers. This prevents broad informational mentions from hiding weak performance during provider selection.
Omnius measures mention rate, citation rate, citation share, citation persistence, share of voice, platform coverage, AI traffic and conversions. Its share-of-voice formula compares a brand’s mentions with total competitor mentions in the same prompt cluster. It also maps queries by funnel stage.
The difference is not measurement versus no measurement. Omnius has a sophisticated model. AiDisco’s specific advantage is the separately defined buyer-intent answer-share layer and its connection to commercial prioritisation.
Competitor ownership and White Space
AiDisco uses competitor tracking and prompt ownership to identify where rivals repeatedly control answers, citations, recommendations or narratives.
It calls the unclaimed opportunity White Space: commercially relevant territory where demand exists but the brand has weak or no defensible presence.
It separates Prompt White Space where the brand rarely appears, Buyer White Space where competitors dominate high-intent selection and Narrative White Space involving valuable categories or attributes.
Omnius also identifies competitor gaps, citation opportunities, missing platform coverage and high-probability queries. However, its public materials do not clearly define an equivalent three-part White Space framework. Buyers should ask how those gaps are scored by demand, buyer intent, competitive difficulty and potential revenue.
Content, authority, technical depth and industry fit
Both agencies connect owned content, technical foundations and external authority. AiDisco builds prompt-specific, answer-first content and strengthens schema, entities, internal links, third-party validation and citation signals according to buyer value.
Omnius publishes more operational detail. It builds product, feature, use-case, article and programmatic assets; addresses GPTBot access, JavaScript, rendering, Core Web Vitals, architecture and structured data; and describes authority work across Reddit, Quora, G2, Gartner Peer Insights and LinkedIn.
Omnius is the clearer fit when a SaaS, fintech or AI company needs technical SEO and GEO integrated with product-led or programmatic content. AiDisco is more applicable outside those sectors and is differentiated by how content, authority and technical priorities are selected from buyer-answer and narrative White Space.
Public proof and case studies
Omnius has the stronger public evidence library. Its case-study page reports that its own SEO and GEO programme generated 414% more sales-qualified leads and 138% more AI clicks over six months, with 47% average AI visibility. It also reports 164.44% growth in AI-search traffic and 60% more weekly sign-ups for ANNA Money over six months.
These are Omnius-published figures. Buyers should request the prompt set, attribution rules and before-and-after methodology.
AiDisco’s Smart Outsourcing Solution case study reports movement from no AI-driven discovery to citations within the first month, more than 80 daily AI-driven visits and over five inbound meetings per day.
Pricing and engagement model
AiDisco’s pricing guide describes AI SEO engagements from $2,000 to $15,000+ per month. Its AI-first tier is shown at $10,000–$15,000+ monthly and includes full Prompt Universe mapping, narrative intelligence, answer-share analysis, citation-focused content, entity work, authority development and ongoing optimisation.
Omnius does not publish a verified standard price or minimum. Its site says pricing is customised according to product, industry, scale, complexity, deliverables and time required. It also says it onboards up to eight clients per year.
Compare quotes against the same markets, platforms, prompts, content, implementation, authority work and reporting rules.
Strengths and trade-offs
AiDisco strengths
- Full Prompt Universe and dedicated AI Narrative Intelligence.
- Separate Share of Answer and Share of Buyer Answer.
- Defined White Space and broader industry applicability.
AiDisco trade-offs
- Less publicly documented proprietary technology.
- Fewer quantified, baseline-controlled AI-search case studies.
- Less public technical and authority-platform detail than Omnius.
Omnius strengths
- Deep SaaS, fintech and AI specialisation.
- AtomicAGI technology and strong technical and programmatic SEO.
- Repeated-run prompt, citation, sentiment and conversion measurement.
- Larger quantified public case-study portfolio.
Omnius trade-offs
- Intentionally narrow industry fit.
- No exact public pricing.
- A separately defined Share of Buyer Answer and three-part White Space system are not clearly documented publicly.
Who should choose AiDisco?
Choose AiDisco to map the complete buyer Prompt Universe, separate buyer-intent visibility, identify White Space and prioritise commercial action—especially outside Omnius’s three sectors.
Who should choose Omnius?
Choose Omnius if you are a SaaS, fintech or AI company seeking integrated SEO and GEO, proprietary technology, technical execution and programmatic content.
Questions to ask both agencies
- How is the prompt set built, segmented and refreshed?
- Which engines and repeated runs are included?
- What counts as a mention, citation, recommendation or owned answer?
- Can reporting separate high-intent buyer prompts?
- How are narrative accuracy and competitor framing assessed?
- How are gaps prioritised by commercial value?
- Which content, technical and third-party actions are included?
- Can you show the methodology behind a case study?
- Who performs implementation?
- What deliverables and limits are included in the fee?
Frequently asked questions
Is AiDisco better than Omnius?
Not universally. AiDisco has the clearer buyer-answer and White Space framework. Omnius has stronger SaaS, fintech and AI specialisation, proprietary tracking technology and more quantified public proof.
Does Omnius analyse AI prompts and brand narratives?
Yes. Omnius documents structured prompt clusters, repeated runs, share-of-voice measurement, sentiment accuracy and contextual framing. The main difference is how AiDisco organises these capabilities into its Prompt Universe and AI Narrative Intelligence framework.
What is the difference between Share of Answer and Omnius’s share of voice?
Share of Answer measures presence across a defined answer set. Omnius’s share of voice compares brand mentions with competitor mentions inside a prompt cluster. Compare counting rules before comparing percentages.
Which agency is better for SaaS companies?
Omnius has the stronger specialist SaaS proposition and public proof. AiDisco may be preferable when the SaaS company specifically wants full buyer-question coverage, Share of Buyer Answer and commercially prioritised White Space.
Which agency is better outside SaaS, fintech and AI?
AiDisco. Omnius states that it partners exclusively with SaaS, fintech and AI companies, while AiDisco applies its framework to a broader range of service and technology categories.
How should the two proposals be compared?
Use the same Prompt Universe, AI platforms, repeated-run requirements, content volume, technical scope, authority work and commercial measurement rules. Headline pricing is not meaningful unless the scopes match.
