BrandAxis: Revenue, team and how it was built
BrandAxis (AI search visibility tracking (GEO), South Africa): Reported US$10K a month, June 2026. Evidence grade D: reported, not verified. Team: 2 co-founders, Felix Norton (CEO) and Freddie O'Donnell (CTO); Starter Story's header listed 3 employees in June 2026, while the company's careers page says two founders. Launched 4 May 2026; still running.Added 25 October 2026
- Outcome
- Reported US$10K a month, June 2026
- Evidence
- D reported, not verified
- Launch
- 4 May 2026
- Status
- Still running
- Team
- 2 co-founders, Felix Norton (CEO) and Freddie O'Donnell (CTO); Starter Story's header listed 3 employees in June 2026, while the company's careers page says two founders
- Outside funding
- None; the founders said the launch was fully bootstrapped
- Group
- SEO and AI search
- Main channel
- Affiliates and partners
What is not verified
The figure of US$10,000 in revenue a month rests on one source: a header field on the Starter Story interview with Felix Norton and Freddie O'Donnell, dated 4 June 2026, one month after launch and while the product was still in invite-only early access. No sentence in the founders' answers states the figure, and Starter Story says that such figures are not independently verified. The US$50,000 in the title is a target for the end of 2026. The 3 employees in the same header do not match the careers page, which says the company is two founders. A reader could look for a payment-processor profile (for example on TrustMRR), a later interview in which a founder states revenue with a date, or a company filing. The headline number is grade D: one claim or one estimate, with no second source. Aiolum shows it because the story is useful, and marks it so that it is not mistaken for a verified figure.
BrandAxis is a tool for generative engine optimization (GEO), the work of making a brand appear in the answers of AI assistants, in the way that search engine optimization (SEO) makes a page appear in Google's list of links. Some marketers call the same work answer engine optimization (AEO). The customer enters prompts, the questions that a person types into an AI assistant, for example "best family-friendly electric SUVs in 2026". The software runs each prompt every day on three AI models that the customer chooses, stores the answer, and computes a visibility score, the share of answers that name the brand, together with the brand's rank in the answer, the sentiment of the words used about it, and the citations, the web pages that the model names as its sources. The AI models are not only the subject of the product: according to the company's documentation, every number comes from answers that the models generate when BrandAxis queries them, six of them by scraping (reading the page automatically) the consumer interfaces and Claude through Anthropic's paid API. The plans are sold as quotas of prompts and models, so the customer pays for a number of AI answers each day.
The company names two co-founders in Cape Town: Felix Norton, who also runs the digital marketing agency Woww, and Freddie O'Donnell, who built the software. According to the founders, the build took about a month, cost about US$5,000 for tools, equipment and company setup, and used "a couple of Mac minis turned into agents and Gemini". The about page dates the first version, the MVP (minimum viable product), to 4 May 2026, and early access ended on 9 July 2026. A Starter Story interview dated 4 June 2026 shows a header with "$10K revenue/mo", "2 Founders" and "3 Employees"; no sentence in the founders' own answers states the current revenue. The title of the interview says "$50K Per Month", but in the text the founders say only that they "expect to hit revenue targets between $50 000 - $100 000 MRR by the end of 2026". MRR, as the founders put it, means monthly recurring revenue, the subscription money that comes in each month.
The revenue figure rests on one header field on one page, grade D, and Starter Story writes next to such figures that they "are from research, estimations, and/or self-reported by the business and have not been independently verified". The founder said that the first customers were his agency's existing clients, and the company's partner page says that every client of that agency gets a BrandAxis workspace as part of the engagement, so an unknown share of the revenue may come through one related company. The rest of this page comes from the company's own pages, live and archived, and a launch press release. The page also shows four earlier companies that sold brands a measure of how they appeared on platforms that they did not own.
How much revenue does BrandAxis make?
Each row shows the evidence grade and the source numbers from the list at the end of this page. The grades are explained in How Aiolum verifies.
| Fact | Value | Grade | How we know | Sources |
|---|---|---|---|---|
| Revenue per month, June 2026 | US$10,000 (Starter Story header) | D | Header field of the Starter Story interview dated 4 June 2026: "$10K revenue/mo" and "$10,000 revenue/mo". No sentence in the founders' answers states current revenue. Starter Story's note next to the figure: "Revenue figures are from research, estimations, and/or self-reported by the business and have not been independently verified by Starter Story." The page is not marked "Estimated from public sources". | [1] |
| Run rate from that figure | US$120,000 a year | calc | Calculated: US$10,000 times 12. The same page shows "currently makes an average of $120K/year", which is the same header figure times 12, not a second source. | [1] |
| Revenue target for the end of 2026 | US$50,000 to US$100,000 MRR | D | A target, not a result: "expect to hit revenue targets between $50 000 - $100 000 MRR by the end of 2026". The interview title "$50K Per Month" refers to this target. | [1] |
| Time from launch to the figure | 1 month (31 days) | calc | Calculated: MVP launch on 4 May 2026 (about page) to the interview date, 4 June 2026. | [1, 2] |
| Subscriptions needed for US$10,000 a month at October 2026 prices | about 29 to 526 | calc | Calculated: US$10,000 divided by the Advanced price of US$349 and by the Lite price of US$19. At the Pro price of US$169 it is about 59. Add-ons and pay-as-you-go trackers would change the count. | [1, 4] |
| Team | 2 co-founders; the Starter Story header lists 3 employees | C | About page: "Two founders. Built in Cape Town." Careers page, October 2026: "BrandAxis is two founders in Cape Town", no open roles. The 3 employees appear only in the Starter Story header (June 2026). Either way the team is 5 people or fewer. | [2, 11, 1] |
| Build cost and time | about US$5,000 and about one month | C | Founders in the interview: "about $5000 spent in Tools/ Tech Equipment / R&D expenses / company setup fees". Built by the CTO alone with Mac minis as agents and Gemini. | [1, 2] |
| Outside funding | none | C | Founders: "Our initial launch was fully bootstrapped". No source names an investor. | [1] |
| First customers | the founder's existing agency clients and contacts | C | Founder in the interview. Then business networks and LinkedIn, partner agencies and an affiliate program for content creators. | [1] |
| Link to the founder's agency | every client of Woww gets a BrandAxis workspace | C | BrandAxis partner page for Woww: "Every Woww client gets a BrandAxis workspace as part of their engagement". The page lists Woww's services from US$2,000 a month. How much of BrandAxis's revenue comes through Woww is not public. | [10] |
| Size of the founder's agency | "650+ scaling businesses" served in 10 years | C | About page. In the interview the founder also calls Woww a "$1.5M MRR+ digital marketing agency". That is a separate business, not BrandAxis revenue. | [2, 1] |
| AI models queried | 6 consumer interfaces scraped daily, plus Claude through its API | C | Documentation: "UI models are measured by scraping the real AI search interfaces". The home page says queries go through "a network of real residential proxies". Claude was added on 12 October 2026. | [5, 3, 8] |
| Brands counted on the home page | 88,284 in June 2026; 288,717 in October 2026 | C | Home page counters, archived 11 June 2026 and live in October 2026. These count every brand detected in answers, including competitors, not paying customers. | [15, 3, 6] |
| Price range | free, then US$19 to US$349 a month, or pay per tracker | C | Pricing page, October 2026. The archived home page of 11 June 2026 already said "From $19". | [4, 15] |
| Company | BrandAxis Inc. | C | Site footer. The about page says "Founded 2025"; the Starter Story header says "started August 2025". | [3, 2, 1] |
How to read this table: a grade D value comes from one header field on a Starter Story page that no one else has checked. Grade C values are the founders' answers in that interview and the company's own pages, live or in the Wayback Machine. A "calc" value was computed on this page from the rows above it.
| Plan | Per month, billed yearly (US$) | Per month, billed monthly (US$) | Limit |
|---|---|---|---|
| Free | 0 | 5 prompts, ChatGPT only, 1 workspace, 1 seat | |
| Lite | 19 | 20 prompts, 3 models, 1 workspace, 2 seats; shown as reduced from US$29 | |
| Starter | 69 | 50 prompts, 3 models, 2 workspaces, 5 seats, API and MCP access; shown as reduced from US$99 | |
| Pro | 169 | 150 prompts, 3 models, 5 workspaces, 17 seats; shown as reduced from US$249 | |
| Advanced | 349 | 350 prompts, 3 models, 10 workspaces, 37 seats, dedicated customer success manager; shown as reduced from US$499 | |
| Pay as you go | from 1.51 | US$1 base fee plus trackers from US$0.51; one tracker is one prompt on one model for a month | |
| Enterprise | custom | unlimited prompts, workspaces and seats, all models, private deployments |
The pricing page shows each monthly price next to a higher price that is struck through (US$29, US$99, US$249 and US$499), and offers no yearly billing, so the yearly column is empty. Every paid plan includes any 3 of 6 "UI models" (ChatGPT, Google AI Overviews, Perplexity, Gemini, Microsoft Copilot, Google AI Mode) with a daily refresh. Each extra model costs US$7, US$25, US$59 or US$115 a month by plan. Claude, measured through its API, costs US$2 per prompt a month: US$40 on Lite, US$100 on Starter, US$300 on Pro and US$700 on Advanced. Cancelled plans are refunded for the unused days through Stripe, and the first charge is refunded in full within 30 days if the product does not work for the customer.
When did BrandAxis launch, and how did it grow?
From a client who said "ChatGPT recommended you" to a public product with seven AI models in about two years, and from the first version to a reported revenue figure in one month. Each entry carries its grade.
- 2024COn a kickoff call, a client of the founder's agency says "Oh, ChatGPT recommended you." The founder then spends 18 months testing GEO methods on clients and his own websites, by his account. [1, 2]
- August 2025CStart of the business, according to the Starter Story header. At a dinner, the co-founder says he could build the tracker "in like a month"; the about page does not date that dinner. [1, 2]
- 3 May 2026CThe company blog publishes its GEO playbook, written by the CEO. It tells readers to answer on Reddit with "genuine answers from a real account". [13]
- 4 May 2026CThe MVP launches in early access, by invitation. [2, 1]
- 15 May 2026CThe documentation site goes live with more than 20 articles. [16]
- 4 June 2026DStarter Story publishes the founders' interview. Its header lists US$10,000 in revenue a month, 2 founders and 3 employees; the founders give a target of US$50,000 to US$100,000 MRR by the end of 2026. [1]
- 5 June 2026CA press release announces the public platform with free and paid plans. [14]
- 11 June 2026CThe archived home page shows "From $19" and "Tracking 88,284 brands across 3 core models". [15]
- 9 July 2026CEarly access ends: anyone can sign up, with a free tier of 5 prompts and paid plans from US$19 a month. [7]
- 24 September 2026CPay-as-you-go trackers for agencies: one prompt on one model for a month, from US$0.51. [9]
- 12 October 2026CClaude tracking is added as a paid add-on, measured through Claude's API instead of a scraped interface. [8]
- October 2026CThe careers page says the company is two founders with no open roles; the home page counts 288,717 brands across all major AI models. [11, 3]
Why did BrandAxis work?
Four causes, in the order they mattered. Each one is a reusable lesson.
Distribution
The founder already ran a digital marketing agency that, according to the about page, had worked for more than 650 businesses. He said the first customers were those agency clients and contacts, and the partner page says that every agency client gets a BrandAxis workspace. That gave a new product paying users in its first month, before the public sign-up opened.
Price below the first trackers
The founders said they started after a LinkedIn post complained about the price of Ahrefs' Brand Radar, and the pricing page claims prices about 30% below competitors such as Peec and Promptwatch. The lowest paid plan is listed at US$19 a month, and an agency can pay per tracker instead of per plan.
Agencies as resellers
Agencies bring many brands. The product has proposal workspaces that track a prospect for three days without using the plan's quota, a directory of partner agencies, and per-tracker billing with one line per client on one invoice.
Each price is a quota of AI answers
A plan is a number of prompts, run every day on a number of models. Extra models and Claude cost more because each one adds answers to collect; the pricing page says the price of an add-on "tracks the compute the extra model actually consumes".
How it was built
These details come from the founders' interview and the company's own pages. They are grade C, except the page-source details, which anyone can see. [2, 5, 6, 4, 1]
- The CTO built the platform alone, including the scraper, "With a couple of Mac minis turned into agents and Gemini under his command", according to the about page.
- Six models are read by scraping their consumer interfaces in a browser, through residential proxies in the chosen country; Claude is queried through its API.
- Each answer is parsed for every tracked brand: mention, rank, sentiment and cited sources, refreshed daily on all plans.
- Customers can read their data through a read-only REST API and an MCP server for Claude, ChatGPT and Cursor, from the Starter plan up.
- Payments and refunds run through Stripe. The marketing site is built with the Astro framework and measured with Google Tag Manager, as its page source shows; demos are booked through Calendly.
- The founders said the launch cost about US$5,000 in total and that the first version took about a month.
Tools named in the sources
Each one opens its page in the Tools tab, with every story that uses it.
Who tried this before BrandAxis, and why did they fail?
Four companies in the Loot Drop database sold brands a measure of how they appeared, or what people said about them, on platforms that they did not own. The values below are from that database and are not independently verified.
Klout
The promiseA score from 1 to 100 that measured how influential a person or a brand was on social networks.
Why it diedFacebook, Twitter and Instagram built their own analytics, rivals gave more detail, and changes to API access limited the data that Klout could collect.
Isentium
The promiseSentiment analysis of social media and news, turned into signals for traders and insurers.
Why it diedSocial media data was noisy and carried compliance risks, broader analytics competitors arrived, and a few large clients made up most of the business.
Salorix
The promiseMachine learning that ranked social media conversations, so brands could see the themes and influencers in their market.
Why it diedIts investors withdrew their support at the same time as leaner competitors with newer AI methods arrived.
SumAll
The promiseOne dashboard that collected a small business's data from its social media and marketing platforms.
Why it diedIt could not set itself apart from larger analytics products and free tools such as Google Data Studio, and customers left over price.
The failed startups come from Loot Drop, a free database of dead startups, retold here in our own words. Loot Drop describes its entries as AI-assisted summaries of public sources, so these cards carry no evidence grade.
What changed
All four measured a brand's presence on platforms owned by someone else, and three of them lost to larger analytics products or to the platforms' own tools. BrandAxis has the same risk: OpenAI, Google, Microsoft and Perplexity decide what their assistants answer, and the documentation shows that six of the seven models are read by scraping consumer interfaces, not through an official reporting service. Large SEO suites such as Ahrefs and Semrush sell AI visibility reports too, and the company's own blog has comparison articles about at least seven competing tools.
Two things differ. First, the AI providers do not sell this measurement themselves yet, so there is no native analytics product to replace it, as there was for Klout. Second, BrandAxis has no investors and, according to the founders, cost about US$5,000 to launch, so it does not need the scale that the funded predecessors needed. Its weakness is closer to Isentium's: the founder said the first customers came from his own agency, so the business may depend on a few related clients until outside customers are counted.
Can one person copy BrandAxis now?
The method, yes. The market, crowded.
Many AI visibility trackers launched in 2025 and 2026, and the company's sitemap lists articles about alternatives to at least seven of them. The part that a reader can copy is the distribution: the founder already had agency clients who needed the measurement, and he said they became the first customers. Without such a group of buyers, a new tracker competes on price alone.
Where it is still open: Measurement where AI now decides what people see and no official report exists: AI shopping answers, AI answers in maps and local search, and assistants inside apps.
- 1Build the measurement that your own service clients already ask for, and give it to them first.
- 2Run each prompt on the real interfaces that buyers use, and store every answer and citation as evidence.
- 3Sell quotas of prompts and models, and charge more for models that cost more to query.
- 4Give agencies multi-client billing and short trial workspaces for their pitches.
- 5Connect a payment-processor profile before you publish a revenue figure, so that a reader can check it.
What could go wrong for BrandAxis?
The risks are the mirror image of the causes above.
What is not verified
The figure of US$10,000 in revenue a month rests on one source: a header field on the Starter Story interview with Felix Norton and Freddie O'Donnell, dated 4 June 2026, one month after launch and while the product was still in invite-only early access. No sentence in the founders' answers states the figure, and Starter Story says that such figures are not independently verified. The US$50,000 in the title is a target for the end of 2026. The 3 employees in the same header do not match the careers page, which says the company is two founders. A reader could look for a payment-processor profile (for example on TrustMRR), a later interview in which a founder states revenue with a date, or a company filing.
Revenue through the founder's agency
The founder said the first customers were his existing agency clients, and the partner page says every Woww client gets a BrandAxis workspace "as part of their engagement". If Woww pays for those workspaces, part of the revenue moves between two companies owned by the same founder. No source says how large that share is. No source shows BrandAxis selling agency services itself: its pricing page sells only software plans.
Reddit in the recommendations
The home page says the data tells customers "which thread to join", the features page shows a planned recommendation "Answer Reddit thread: r/marketing 'best GEO tools?'", and the founders said their own tool showed them "Reddir threads to post on" to get AI models to cite them. The company blog asks for "genuine answers from a real account". The product does not sell or post comments; how a customer carries out such a task is the customer's responsibility.
Scraped interfaces and residential proxies
Six of the seven models are read by scraping their consumer interfaces through "a network of real residential proxies". If OpenAI, Google, Microsoft or Perplexity block automated access, the cost and the reliability of the data change. Only Claude is measured through an official API, and the pricing page says that costs "far more per answer".
Counters are not customers
The home page counts 288,717 brands tracked. The documentation says brand data "falls out of the same AI runs", so the counter includes every competitor named in any answer. No source gives a number of paying customers.
A very young product in a crowded market
The product launched on 4 May 2026 and opened to everyone on 9 July 2026. The company's own pricing FAQ and blog compare it with Peec, Promptwatch, Profound, Otterly, Semrush, Ahrefs and others, and the struck-through list prices are shown on every plan.
Sources
The grade next to each source is the best grade that the source can support. "Read in full" means that the text of the page was downloaded and the numbers were checked in it.
- D Starter Story, 4 June 2026: I Help Brands Rank In ChatGPT (AEO, $50K Per Month), interview with Felix Norton and Freddie O'Donnel (spelled so on the page)Read in full, including the header fields and the note on revenue figures. Only source for the US$10,000 a month, the 3 employees, the target, the build cost and the first customers.
- C BrandAxis about page, read 25 October 2026Read in full. Source for the founders, their roles, the origin story, the MVP launch date and the build method.
- C BrandAxis home page, read 25 October 2026Read in full, including the menus and the FAQ. Source for the features, the residential proxies, the brand counter and the purpose check.
- C BrandAxis pricing page, read 25 October 2026Read in full, including the page source for the struck-through prices. Source for the pricing table, the add-ons, the refund rules and Stripe.
- C BrandAxis documentation: Which AI models we trackRead in full. Source for the UI models that are scraped and the API model.
- C BrandAxis documentation: How brand data is collected (updated 15 May 2026)Read in full. Source for what each answer records and for what the brand counter counts.
- C BrandAxis changelog, 9 July 2026: BrandAxis is out of early accessRead in full. Source for the end of early access and the free tier.
- C BrandAxis changelog, 12 October 2026: Track ClaudeRead in full. Source for the Claude add-on and its price.
- C BrandAxis changelog, 24 September 2026: Pay-as-you-go AI visibility trackersRead in full. Source for the per-tracker pricing for agencies.
- C BrandAxis agency directory: WowwRead in full. Source for the link between the founder's agency and BrandAxis and for the agency's starting price.
- C BrandAxis careers page, read 25 October 2026Read in full. Source for the team of two founders and the absence of open roles.
- C BrandAxis features page, read 25 October 2026Read in full. Source for the planned recommendations, including the Reddit example.
- C BrandAxis blog, 3 May 2026: The complete GEO playbook, by Felix NortonRead the sections on cited sources and Reddit. Source for the company's advice on Reddit answers.
- C TechIntelPro, 5 June 2026: BrandAxis Launches AI Search Analytics Platform for Brands (press release text, no author named)Read in full. A launch announcement in the company's words; it gives no revenue figure.
- C BrandAxis home page, Wayback Machine copy of 11 June 2026Read in full. Source for the June 2026 starting price and the brand counter one week after the revenue figure.
- C BrandAxis changelog, 15 May 2026: Documentation site launchedRead in full. Source for the date of the documentation launch.
- C BrandAxis sitemap, read 25 October 2026Read the list of pages. Source for the changelog dates and the articles about competing tools.
- C Loot Drop database export, 1,749 failed startupsLocal export. AI-written summaries, not independently verified. Source for the failed predecessors.