In the past year, several tools have emerged to help brands understand how they appear in the new world of AI search. Two of the most talked about are Omnia and LLM Pulse. Both made in Spain.
Both share a common mission: bringing transparency to a search experience where results are no longer just “10 blue links” but AI-generated answers.
In this post, I want to make a realistic and objective comparison (product, plans/pricing, team) in a respectful way, because I believe healthy competition benefits everyone. Our goal is to build connections, not the opposite. Please note that we haven’t tested Omnia directly — this comparison is based on the information publicly available on their website.
Background on both companies
About Omnia
Omnia is a Spanish startup led by Daniel Espejo (Founder & CEO). The project first appeared publicly in early 2025, when Espejo mentioned it in the Spanish startup ecosystem newsletter Dealflow. By August–September 2025, the company started publishing articles on its own blog, with posts signed by “Daniel Espejo, Founder & CEO,” marking its official go-to-market phase with a live site, blog, and pricing.
On the funding side, Omnia has not disclosed detailed round information on its website. However, the Dealflow newsletter (July 2025, by Jaime Novoa) briefly noted that “we recently invested in Omnia,” though without amounts or terms. A Nordic 9 company profile also lists Omnia (Madrid, Spain) and indicates the presence of at least one investor, again without further public details. In short, there are signals of external investment, but no confirmed figures or lead investor have been published as of September 11, 2025.
About LLM Pulse
LLM Pulse is a 3-founder project led by Daniel Peris, Esteve Castells, and Adrián Rojas. The team publicly introduced the product with a “HELLO WORLD” post on July 28, 2025, noting they had actually gone live two weeks earlier—on Tuesday, July 15, 2025. The same post identifies all three founders and frames the product as an “LLM tracker” built to measure brand visibility inside AI-generated answers.
The LLM Pulse team brings many years of combined experience in SEO, SaaS, and AI-related product development.
On funding, the founders state they are bootstrapped—“no outside funding, just time and focus.” The launch article also mentions that a few companies were already using the product at that time, without naming clients or disclosing financials. As of the launch communication, there were no external rounds announced.
Today, LLM Pulse is used by clients across multiple industries—including fintech, marketplaces, SaaS companies, and marketing agencies—in different countries around the world.
Short overview
Omnia positions itself as an “AI engine search optimization” platform. It monitors mentions and citations across ChatGPT, Perplexity, and Google AI Overviews, tracks brands vs. competitors, and offers daily monitoring. Features like sentiment analysis, data export, and topic discovery are marked as “coming soon.”
LLM Pulse is an AI search visibility tracker. It captures full LLM answers (including mentions and citations), provides competitive benchmarking and Share of Voice, includes prompt suggestions, and currently tracks ChatGPT, Perplexity, Google AI Mode, and Google AI Overviews (more models coming soon). It also offers Brand Sentiment Analysis and data export, already available.
Both tools work for any country and language.
Common ground
- Both tools allow brands to track mentions and citations (websites / URLs) across AI models.
- Both seek to bring clarity to a fast-changing search landscape.
- Both help marketing, comms and PR teams identify opportunities.
Omnia vs. LLM Pulse: plans, features & pricing
When comparing Omnia and LLM Pulse, one of the clearest ways to understand their differences is by looking at how each structures its plans and pricing. Both companies publish transparent tiers on their websites, outlining what’s included, the limits applied, and which features are already live versus still marked as “coming soon.” This provides a good basis for assessing which option best matches different needs and budgets.
Omnia
Plan | Main Inclusions | Notes |
---|---|---|
Growth – 79€/mo | Up to 25 prompts; unlimited countries/languages; brand + competitor tracking; citation monitoring; supports ChatGPT, Perplexity, Google AI Overviews; daily monitoring. | Transparent entry-level option; 14-day free trial; some features still “coming soon” (e.g. sentiment, data export). |
Pro – 279€/mo | Up to 100 prompts; everything in Growth plus Slack support; premium functions listed (some “coming soon”). | Higher capacity and closer support; significant price increase. |
Enterprise – from 499€/mo | 200+ prompts; dedicated account manager (24h SLA); tailored setup. | Geared toward larger organizations; price depends on scope. |

LLM Pulse
Plan | Main Inclusions | Notes |
---|---|---|
Starter – 49 €/mo (or 490 €/year ≈ 40.83 €/mo) | 1 project; 40 tracked prompts; 40 responses/week per model; weekly tracking; 5 competitors; 1 team member; covers ChatGPT, Perplexity, Google AI Mode, Google AI Overviews. | Lowest entry price; suitable for individuals or small teams. |
Growth – 99 €/mo (or 990 €/year ≈ 82.50 €/mo) | 2 projects; 100 tracked prompts; 100 responses/week per model; weekly tracking; 10 competitors; 2 team members. | Balanced option for growing teams. |
Scale – 299 €/mo (or 2,990 €/year ≈ 249.17 €/mo) | 5 projects; 300 tracked prompts; 300 responses/week per model; weekly tracking; 15 competitors; 5 team members. | Best fit for mid-size organizations. |

LLM Pulse also offers (much) larger plans with more projects, more prompts, more team members, on-demand models, and more.
Key takeaways
- Entry-level pricing: LLM Pulse starts lower (49€) than Omnia (79€), making it more accessible for smaller teams.
- Tracking cadence: Omnia emphasizes daily monitoring; LLM Pulse defaults to weekly tracking, with daily available if needed.
- Feature maturity: LLM Pulse already offers data export and Brand Sentiment analysis; Omnia lists sentiment analysis and data export as “coming soon.”
- Cost efficiency per prompt: LLM Pulse offers a more competitive cost per tracked prompt than Omnia, especially at scale.
Who benefits most from each?
Omnia — Good fit if you want straightforward, daily monitoring of brand mentions and citations/URLs across ChatGPT, Perplexity, and Google AI Overviews, plus simple competitive tracking. Their Growth / Pro tiers highlight “daily monitoring or more,” “monitor citations,” and a “discover topics” capability; sentiment and data export are listed as coming soon.
LLM Pulse — Suited to teams that need multi-model coverage including Google AI Mode, week-over-week tracking with clear response caps, and analysis features such as citations and Share of Voice; Brand Sentiment is now live. Default cadence is weekly (daily available on demand).
Where LLM Pulse currently has an edge
- Model coverage: Adds Google AI Mode on top of ChatGPT, Perplexity, and (now) Google AI Overviews; Omnia lists ChatGPT, Perplexity, and AI Overviews (no public claim about AI Mode).
- Sentiment: Brand Sentiment is live in LLM Pulse; Omnia lists sentiment as “coming soon.”
- Transparency on cadence / limits: LLM Pulse publishes weekly tracking and per-model weekly response caps on its pricing page/blog.
Where Omnia currently has an edge
- Default cadence: Omnia promotes “Reliable results. Daily monitoring or more,” which may appeal if you specifically want a daily baseline out of the box.
- Topic discovery: Omnia highlights “Discover the most searched AI topics related to your brand” in its Growth plan.
*Based on public info
Daily vs. weekly tracking: what really counts
When it comes to AI visibility, changes from one day to the next are usually small. This is especially true in Google AI Mode, which external analyses show to be more stable than AI Overviews.
In our experience, looking at the data on a weekly basis tends to give the clearest picture. It avoids the noise of minor daily fluctuations and provides the right balance for making strategic calls.
In practice, weekly insights are enough to guide messaging, content, and citation strategy. Daily tracking still has its place—for example, during specific campaigns or if you need to monitor unusual events—but for long-term brand visibility, it rarely changes the outcome.
Which tool is right for you?
LLM Pulse could be the better fit if…
- You need Google AI Mode coverage in addition to ChatGPT, Perplexity, and Google AI Overviews.
- You want extra layers of analysis like Share of Voice, competitor benchmarking, and citations tracking, all with clear weekly response caps.
- You plan to use Brand Sentiment, which is already available today.
- You prefer flexible tiers starting at a lower entry point (49€), with transparent monthly and annual pricing.
- You’re comfortable with weekly tracking as the default (daily is possible when needed).
- You value a competitive price per prompt, which allows you to capture a broader and more complete picture of your brand’s visibility in AI search.
Omnia might be the right choice if…
- You want daily monitoring by default across ChatGPT, Perplexity, and Google AI Overviews.
- You’re curious about topic discovery, already highlighted in their Growth plan.
- You prefer a tool that feels simple and straightforward for getting a first layer of visibility.
- You’re fine with some features (like sentiment analysis and data export) still being labeled as “coming soon.”
- You like having transparent pricing with clear monthly plans starting at 79€.
Final words
At the end of the day, the right choice depends on what matters most to you: your needs, your budget, the product roadmap you trust, and the overall robustness of each tool. Both Omnia and LLM Pulse are pushing the boundaries in a brand-new space, and that in itself is something worth celebrating.
As for us at LLM Pulse, we’re going full speed ahead — building, shipping, and listening closely to users. And one thing is always true: we’re genuine fans of anyone who takes the leap to build products and businesses. The more people innovating here, the better for everyone.