GOSH AI Investor Overview

AI doesn't search.
It chooses.

Most brands have no idea whether it is choosing them. GOSH AI is the company measuring who AI recommends, why, and what moves it.

$125KARR, fully recurring
78categories measured
8AI surfaces
$750Kraising
ChatGPTClaudeGeminiPerplexityGrokMicrosoft CopilotGoogle AI ModeGoogle AI Overviews
ARDI
ARDITHE INTELLIGENCE
P L A T F O R M
The data everyone is citing

The numbers are not subtle.

25%
Gartner
Projected drop in search volume by 2026 as buyers move to AI assistants.
$750B
McKinsey
Generative AI's projected economic impact by 2028.
80%
Bain & Company
Of consumers now use AI-generated summaries somewhere in the buying journey.
94%
Forrester
Of B2B buyers now use AI during the research process.

Sources: Gartner press release (Feb 2024), McKinsey & Company (Oct 2025), Bain & Company (Feb 2025), Forrester (Feb 2026).

The problem

You cannot fix
what you cannot see.

Every brand measures search rank, ad spend and social reach. Not one of them can answer the question that now decides the sale.

01
Does AI recommend us?Not whether we are mentioned. Whether we are the answer.
02
To whom, and where?Recommendation changes by buyer stage, by category and by geography.
03
Against which competitors?The competitive set the model actually returns, not the one marketing assumes.
04
And what would change it?A number nobody can act on is a report, not intelligence.
Why nothing else solves it

Counting mentions is not
measuring recommendation.

AI visibility tools
Did our name appear?

A mention count with no model of who was asking, where they were, or who else was in the answer. It stops at a dashboard, so the client is handed a number and no way to move it. Easy to build, and therefore easy to replicate.

GOSH AI
Were we recommended, and what moves it?

Recommendation measured by buyer stage, category and geography, against the competitive set the model actually returns. Then the activation tools act on it, and the next sweep measures whether it worked.

One is a metric. The other is a system that changes the outcome.

Why the measurement holds up

Built as an instrument,
not a wrapper.

Three decisions in the engine that a competitor cannot shortcut.

The engine holds zero category knowledge.

No product, brand, ingredient or category vocabulary in production code, and it never branches on category name. Adding a category requires no code change. That is why one instrument already measures 78 categories from plastics to skincare to chiropractic.

Adjudicated across model families.

The same evidence is judged by frontier models from different providers rather than trusted from a single model. No one vendor's behaviour defines the measurement, and no single model's blind spot becomes the client's.

Every claim traces to a literal span.

No inference and no paraphrase. Each recorded mention points at an exact substring in a stored model response. Writes are all or nothing, and unknown state fails closed.

Every run is reproducible.

An audit freezes its prompt manifest and replays it in order with the identifiers preserved. That is what makes one month comparable to the next, and a score that cannot be compared over time is not a measurement.
Governance

The system can
refuse to ship.

No enterprise builds a budget on a figure it cannot audit. ARDI Sentinel is the release assurance layer sitting between a finished measurement and a client, and it is why this sells upmarket rather than staying a small business tool.

01
Metric lineageEvery published number traces through its extraction chain back to the model response it came from.
02
Drift and stale sourceMeasurement that moved for reasons that are not the brand, and source data past its freshness, get flagged instead of published.
03
Every check carries a verdictMatch, mismatch, stale source or unclear. Nothing is left implied, and anything unresolved is named as unresolved.
04
Blocked to shipA deliverable carrying open mismatches cannot reach a client. It sits in the approval queue until a person decides, and the decision is recorded.

Anyone can publish a score. We can prove ours, or refuse to send it.

The flywheel

The loop is the moat.

Measurement tells the client exactly where they are absent. The tools act on it. What they publish becomes the signal the next sweep reads.

01 Measure
ARDI reads the surface
Fifty prompts on the parent brand, fifteen decision prompts per location, twice a month across eight AI surfaces.
02 Activate
The tools execute
Campaigns deploy to Google and Meta. Content is made and published. Citations are pursued. Reviews are worked.
03 Publish
Signal enters the world
What the tools put out becomes public evidence the models can retrieve, cite and learn from.
04 Re-measure
The reading changes
The next sweep scores the result, which dictates the following cycle. Intelligence compounds instead of resetting.

A competitor with a better dashboard has no activation. A competitor with better content tools has no intelligence.

Closing the loop requires both halves plus the measurement spine that connects them. That is a different order of problem from building another dashboard, and it is the reason the advantage compounds every cycle instead of being copied in a quarter.
The platform

The activation half
is built and running.

Seven tools, one shared authorization spine, each live with its own protected backend. These do not recommend an action. They perform it.

ARDI Intent Marketing

Intelligent Advertising. Turns the measurement into precision campaigns and deploys them live to Google and Meta.

Live
ARDI Content Engine

Reads the gaps ARDI found and produces the copy and imagery that fill them, then logs what was published.

Live
ARDI Design Studio

One consistent brand identity across everything published, because visual consistency is itself a recognition signal.

Live
Citation Presence

Finds the sources AI actually cites where the brand is absent, then drafts the outreach that fixes it.

Live
Review Intelligence

Syncs Google Business Profile, correlates review themes to measured outcomes, and works the response surface.

Live
Client Portal

One portal, two experiences by account shape. Monthly score, trend, what changed, and the work in progress.

Live

Status verified 2026-09-20 by direct probe of each production endpoint.

Operating leverage

Delivery becomes software,
not headcount.

The Agency Orchestrator is the layer that removes the operator from the middle. One interface, and behind it the whole lifecycle runs unattended.

01
Unattended deliveryCategory generation, collection, extraction, index generation, publishing and provisioning run without a human driving the tools.
02
Fail closed by designNo stage advances because a call returned success. It advances only on verified completion evidence, and unknown state stops the job.
03
Agencies as a channelMulti tenant, role scoped and agency branded. One agency is not one customer. It is a distribution point carrying a client book it already owns.
04
The operating testEvery decision is judged against running as a solopreneur with a thousand clients. Humans only where judgement is genuinely required.
Traction

Twelve months.
One founder. $6K a month.

$125K
ARR, one hundred percent recurring and one hundred percent platform revenue.
$19K
Average annual contract value across six to seven paying clients.
100%
Of the legacy services book converted onto the platform. Clients pay for the product, not for time.
78
Categories measurable today, spanning local, regional and national demand models.

In active conversation

ProspectShapeScaleStatus
The Joint ChiropracticMulti location franchise950+ clinics, 43 statesProposal issued
BODYBAR PilatesMulti location franchise100 studios, 70 in developmentIn discussion
SweetLeafConsumer packaged goodsNational brandUnder evaluation

Nothing above is signed. Listed as pipeline, not revenue.

Market

Horizontal by construction,
not by ambition.

Because the engine holds no category knowledge, the reachable market is not a vertical. It is every category where a brand can be recommended. Seventy eight are measurable today, and adding one takes no engineering.

45
Metro bound categories where demand stops at the city line. Local services.
6
Regional categories where demand decays with freight. Manufacturing and distribution.
25
Unbound categories where nothing stops demand. Software, CPG and national brands.
2
Independent dimensions that shape every deal: how many units, and how far demand reaches.

The wedge: we do not ask for new budget

The hardest part of selling a franchise network is not the pitch. It is getting hundreds of owners to approve spend that is not in the plan. So we stopped asking. The Joint's clinics already spend $500 a month each on SEO.

The Joint Chiropractic, per clinicTodayProposed
Existing SEO line$500$300
ARDI$0$200
Total clinic spend$500$500

Revenue neutral to the franchisee, and every franchise system in all 78 categories has a line like that one. This is a repeatable way in, not a concession to win a single logo.

What the two live conversations are worth

BrandUnitsRateAnnual valueVersus current ARR
The Joint Chiropractic950+ clinics, 43 states$200 per clinic$2.28M18x
BODYBAR Pilates100 open, 70 in development$595 per location$714K5.7x
Combined$2.99M per year24x

Two conversations, both live, together worth roughly twenty four times the entire current book. That is the shape of the business.

It is also the risk. Three names in a pipeline is not a business. Either one of these walking would set the year back, and we are not willing to run a company that can be knocked over by a single phone call. The raise buys the sales capacity to build a pipeline deep enough that no one logo ever matters this much again.

Proposed structures at the rates shown. Neither is signed, and both are presented as pipeline rather than revenue.

Business model

Two layers.
One flywheel.

The corporate engagement and the per location engagement are cross beneficial, never substitutes. Corporate raises the floor across the network. Location density strengthens the brand signal that lifts corporate authority.

TierWho it is forPriceTerm
ARDI IntelligenceBrands with an in-house team to executeFrom $1,500 per monthSix months
ARDI AuthorityCorporate, multi location and multi productFrom $3,000 per monthSix months
ARDI StudioSingle locations getting started$395 per locationThree months
ARDI Studio+Locations running the full toolset$795 per locationThree months
ARDI Studio ProLocations that want it handled end to end$1,295 per locationThree months

All terms renew automatically. Current average contract value is roughly $19K per year.

Where this expands

One engine.
Three revenue streams.

Two further streams are in development on the same spine. Infrastructure for both is deployed and verified. Neither has been exercised end to end, and neither is presented here as operating.

ARDI Agency opens a channel.

Agencies run ARDI for their own client books under their own brand. Distribution stops scaling with sales headcount. Foundation accepted and live, with local geography and product publication still gated.

ARDI Product Index opens CPG.

Measurement moves from whether AI knows the brand to whether AI recommends the individual product and whether it can be bought. Extractor deployed, database contract installed, one category collected. Not yet run end to end.

Brand level measurement serves multi location businesses. Product level measurement serves consumer packaged goods. Same spine, two markets, and for a CPG client they are sequential halves of one engagement rather than alternatives.

Team

A builder who has also
run the business.

Eric Torres
Founder

Built the entire ARDI platform in twelve months and remains sole architect of the measurement methodology. Ran a marketing company for fourteen years before this.

Ben Melland
Assurance and methodology

Owns platform validation and the governance layer that makes every published metric traceable.

Dragostina Marinova
Head of Brand Experience

Owns the brand system and publication design across every client deliverable, and runs outbound.

Most founders raising in this category can build the instrument or sell it. The go to market risk here is carried by someone who has run a marketing business for fourteen years. The company is one hundred percent founder owned with no equity issued and a clean cap table.

The ask
$750K
24 months of runway

The full 24 month plan costs $853,000. Current recurring revenue funds roughly $250,000 of it, so the raise covers the balance with real buffer rather than landing exactly on zero.

Net burn of roughly $26K per month, against revenue the plan deliberately assumes does not grow for two years.

Sales and go to marketOne account executive, one SDR, plus conferences. $420,000
49%
Product and engineeringTripled from current spend. Finishes Agency and the Product Index. $144,000
17%
Founder and existing teamA modest founder salary and the current team. $216,000
25%
Operations, infrastructure and legalModel costs, platform, and the cost of the round. $73,000
9%

Figures on this page are modelled from current operating costs and live published pricing. Market statistics are drawn from published third party research and each is traceable to its source on request.

CHOSEN > FOUND

Being found got you onto a list. Being chosen gets you the customer.

GOSH AI is an AI Recommendation and Discovery Intelligence company.