CLM-001
Attackers who use AI tools work faster than before.
Number: [claim to be sourced: how much faster] · Status: to be sourced
ACADEMY · THE FUTURE OF MARKETING
Every letter of FOUND and DRONICS can be told like a keynote storyline. Each slide has two lines: the Past, and the Present to future. Marketers will work differently with agents, and Foundronics is building for that. Cybersecurity is the worked example. The framework fits any B2B company.
This page is free. There is no sign-in and no form. Every number and every claim here has a source, or is marked as to be sourced.
A story spine is the few claims and the point of view a company decides first. Every asset serves it.
The format is borrowed from the way a vendor keynote tells each story. None of that deck’s claims or numbers is used here.
TEN SHIFTS
These are the opinions and observations of the people named, and one research paper. They are not evidence about any company. Where a source is a third party’s summary, we say so.
| Shift | Past | Present to future |
|---|---|---|
| S1. From SEO to GEO | Rank a page for a keyword and count the visits. | Be the answer in an AI assistant: named, cited and described correctly. GEO means generative engine optimisation. |
| S2. From talking about ourselves to amplifying neutral voices | Publish our own claims, our own awards and our own adjectives. | Share and make easy to find what neutral parties truly say: reviewers, analysts, customers and practitioners, with their permission. Never bought, never written by us. |
| S3. From campaigns to always-on | Run a campaign, stop, plan the next one. | Show up every week in small, steady ways, test small, and keep what builds up over time. |
| S4. From a content calendar to a story spine | Fill a calendar with topics and formats. | Decide a few claims and a point of view first, then make every asset serve that spine. Each chapter has a Past line and a Present-to-future line. |
| S5. From gated assets to open assets | Put the best asset behind a form. | Publish open assets that answer a buyer’s question, so buyers and assistants can read, check and cite them. |
| S6. From attribution software alone to self-reported answers and simple signals | Trust attribution software to say what worked. | Ask buyers how they heard of you, hold win-analysis calls, and run simple market surveys of awareness, beside the software. These need no incrementality test. |
| S7. From vanity metrics to share of answer | Report traffic, impressions and rankings. | Report share of answer: how often, and how accurately, an assistant names you for the questions buyers ask. |
| S8. From one-way outbound to community and partner-led | Send messages to a list and buy reach. | Build places and partnerships where buyers learn from their peers and are introduced by people they trust. |
| S9. From feature lists to the customer’s real alternatives | List features and adjectives. | Say the value against what the customer would do if you did not exist, including doing nothing, and show proof the customer understands. |
| S10. From publish once to distribute where the audience already is | Publish a piece and wait for visitors. | Plan the distribution with the piece, in the places the audience already pays attention, even where no click returns. |
ALL TWELVE LETTERS
Five FOUND letters, then seven DRONICS motions. What the agent does and what a person decides is on each learning path.
| Letter | Past | Present to future |
|---|---|---|
| F: Findable · FOUND | Marketers wrote pages for search engines and watched rankings and traffic. | Buyers now ask an AI assistant and read one answer. The job becomes to be named in that answer, and described correctly: GEO alongside SEO. |
| O: Opinions · FOUND | Marketers collected a few reviews and quotes and put the best ones on the website. | Buyers and AI assistants read what users say on neutral platforms and in communities. The job becomes to know what is said there, reply truthfully, and fix what is true. |
| U: Underdog Moves · FOUND | A small company copied the larger players’ content and tried to match their spend. | A source that adds something new, such as original data, a benchmark or a free tool, gives an assistant something worth citing. A smaller company can make that move without a large budget. |
| N: Nods · FOUND | Marketers pitched analysts and journalists, and paid for awards and listings. | Assistants and buyers lean on sources they trust: analyst notes, marketplace listings, credible press. The job becomes to be described accurately there, earned and not bought, and to amplify what these neutral parties actually said. |
| D: Distinctions · FOUND | Marketers claimed to be different in adjectives: leading, trusted, best. | Buyers and assistants look for proof that can be checked: attestations, benchmarks, patents. The job becomes to publish only what is verified, with the source beside it. |
| D: Digital demand · DRONICS | Marketers bought keywords and ran campaigns in bursts, with a form behind every offer. | Search, paid and email stay, but they serve buyers who are already looking, with plain answers and relevant timing instead of volume. The work runs always-on, in small tests. |
| R: Referrals and resellers · DRONICS | Marketers sent partners a deck and a logo pack and hoped for referrals. | Partners are one of the strongest routes to trust. The job becomes a pitch a partner can repeat, a reason worth their effort, and a joint value proposition both sides can state. |
| O: Owned content · DRONICS | Marketers filled a content calendar by volume and gated the best assets behind forms. | A story spine of a few claims decides what is published. Assets are open, answer the buyer’s question first, carry their sources, and are spread where the audience already is. |
| N: Networks and alliances · DRONICS | Marketers listed the company in a marketplace once and counted the logos. | Ecosystems are where buyers ask their peers and where assistants look. The job becomes to be easy to find and easy to recommend there, with listings that are current and accurate. |
| I: Influence · DRONICS | Marketers paid for reach and sent the same pitch to every analyst and creator. | Buyers trust a few people who explain things. The job becomes to help them explain you accurately, before a shortlist exists, and to share what they say, with their permission. |
| C: Community · DRONICS | Marketers ran an event or a newsletter in bursts and judged it by sign-ups. | Community becomes a long-term place where practitioners learn from one another and stay. It is led by people, and judged by who returns and what members say. |
| S: Sales enablement · DRONICS | Marketing handed sales a deck, and each seller edited it alone. | Sellers, partners and integrators need a few assets for the first three calls, all tied to the same story spine. Claims are the same everywhere because they come from one register. |
WORKED EXAMPLE · HYPOTHETICAL
This is an illustration of the method. The company is invented: Example Cyber Co, a hypothetical security software company that helps customers govern AI agents inside their business. It is not the work, the claims or the numbers of any real company. Every number is a placeholder marked “claim to be sourced”. Nothing here is a fact until a person adds a source and approves it.
Before any asset is made, every claim and number goes in a register with these columns:
Attackers who use AI tools work faster than before.
Number: [claim to be sourced: how much faster] · Status: to be sourced
Companies already run AI agents that act inside business systems.
Number: [claim to be sourced: how many companies] · Status: to be sourced
Agents often use access that was meant for people.
Number: [claim to be sourced: how often] · Status: to be sourced
Malicious software packages are a route into companies.
Number: [claim to be sourced: share of cases] · Status: to be sourced
Analysts spend time joining alerts from separate tools.
Number: [claim to be sourced: hours or alerts per day] · Status: to be sourced
The company’s own product does what its page says.
Number: [claim to be sourced: from the company’s own evidence] · Status: to be sourced
An asset that uses a claim marked “to be sourced” does not go out.
An answer-first page for each of ten questions a security buyer asks an AI assistant, and a record of which companies the assistants name today.
A list of the review sites and practitioner communities where security buyers talk, and a plain reply guide. No review is asked for in return for a gift.
A brief for an original survey of security practitioners about AI agents. It is an idea to be commissioned; no result exists.
A one-page note for analysts on how the company describes itself, with a request to check how they describe it. Marketplace listings checked for accuracy.
A proof page that lists each distinctive claim, its source and its status. A certification is listed only if the company holds it.
Five answer-first landing pages for questions buyers search, and one small email test to people who asked a question.
A one-page partner pitch of three sentences, and a joint value proposition for resellers.
The story spine as an open six-part guide, each chapter with its Past line and its Present-to-future line, and its sources linked.
Marketplace listing text and a co-marketing brief for one ecosystem partner.
A separate note for each of three analysts or creators the audience follows. Anything they say is shared only with their permission.
An agenda for a small monthly practitioners’ meetup on how to govern AI agents, with two members speaking.
A battlecard against the status quo (doing nothing, or a spreadsheet) and a talk track for the first three calls, all drawn from the claim register.
See also the Academy, the twelve letters and how Foundronics uses its own agents.
The FOUND Score shows whether AI assistants name you today. Free, no login.