ACADEMY · THE FUTURE OF MARKETING

How marketing changes when buyers ask AI, and marketers work with agents.

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.

Past, then present to future

How the two lines work

A story spine is the few claims and the point of view a company decides first. Every asset serves it.

  1. Write the Past line: what marketers, or buyers, assumed until now.
  2. Write the Present-to-future line: what has changed, with a source.
  3. Say what the agent does: it checks, drafts, maps and records.
  4. Name the decision that stays with a person: the marketer or the CMO.

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

What changes across all twelve letters

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.

The ten shifts, Past and Present to future
ShiftPastPresent to future
S1. From SEO to GEORank 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 voicesPublish 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-onRun 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 spineFill 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 assetsPut 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 signalsTrust 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 answerReport 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-ledSend 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 alternativesList 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 isPublish 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.
Why we think so, and the sources for each shift
  • S1. From SEO to GEO. A 2024 research paper names GEO and tests methods on its own benchmark. It reports that adding citations, quotations and statistics raised visibility by up to 40 per cent in its tests, and that stuffing keywords gave little or no gain. That is one benchmark and a small set of engines, not a promise for any company. HubSpot’s recap of a talk by Aja Frost says to put the exact answer in the first sentence; that is a third party’s summary. L16 (from a third party’s summary; check before quoting) · L3 · Aggarwal and others, “GEO: Generative Engine Optimization”, KDD 2024 (arXiv)
  • S2. From talking about ourselves to amplifying neutral voices. Kipp Bodnar’s published memo says brand mentions will matter more than backlinks and that individual voices do better than brand channels. Elena Verna writes that growth is now a trust problem. Frost’s recap says to earn mentions on sources AI tools already cite. These are opinions of the named people. Our own rule is firmer: we never create, buy or manufacture reviews, testimonials, analyst opinions or awards. L15 · L13 · L16 (from a third party’s summary; check before quoting)
  • S3. From campaigns to always-on. Dave Gerhardt writes about doing short-term and long-term work together and testing a channel small before investing (P2), and about being consistent and patient (P8, a third party’s summary). Jay Acunzo says marketing is about who stays, not only who arrives. “Always-on” is our label; none of them is quoted as using it. P2 · P8 (from a third party’s summary; check before quoting) · L8
  • S4. From a content calendar to a story spine. Emily Kramer says to define the few narratives you want the market to echo back, so you avoid random acts of marketing. Kipp Bodnar writes that if the strategy cannot be said in one sentence, the company is not ready to spend on it. “Story spine” is our term. The Past and Present-to-future format is borrowed from how a vendor keynote tells each story; it was read from an extract supplied by the owner, and none of that deck’s claims or numbers is used. L5 · L15
  • S5. From gated assets to open assets. Latané Conant described an experiment of “no forms, no spam, no cold calls” and its reasons in her own talk. Dave Gerhardt says to give value before asking. That assistants can cite only what they can read is our inference, not a finding of those sources. Whether to keep any form is the CMO’s decision. L10 · P7
  • S6. From attribution software alone to self-reported answers and simple signals. Chris Walker names these three methods in a LinkedIn post, and says attribution is for knowing which levers to pull, not for proving a channel. Dave Gerhardt makes the same point about channels that build up over time. This does not say that testing has no place for firms that can run it. L11 · P9 · P10 (from a third party’s summary; check before quoting)
  • S7. From vanity metrics to share of answer. Rand Fishkin calls traffic a poor goal in a zero-click world and says to measure leads and conversion. Frost’s recap lists AI visibility, share of voice and citations as things to measure (a third party’s summary). The GEO paper defines visibility measures for generative answers. Share of Answer is a Foundronics measure; see the FOUND Standard for what it can and cannot say. L3 · L16 (from a third party’s summary; check before quoting) · Aggarwal and others, “GEO: Generative Engine Optimization”, KDD 2024 (arXiv)
  • S8. From one-way outbound to community and partner-led. Kathleen Booth treats community as a long-term brand strategy with dedicated people. Elena Verna lists staffed community and matching creator partnerships among what builds trust. Partnership Leaders describe partner marketing as using each other’s strengths and audiences (a third party’s summary). Conant argues for relevance over volume. These are opinions and observations, not studies. L17 (from a third party’s summary; check before quoting) · L13 · PM1 (from a third party’s summary; check before quoting) · L10
  • S9. From feature lists to the customer’s real alternatives. April Dunford starts positioning from the customer’s competitive alternatives and says to include the status quo. Only the free part of her second post was read. L1 · L2
  • S10. From publish once to distribute where the audience already is. Ross Simmonds argues that distribution is a discipline and often matters more than the content itself (only the free chapters were read). Rand Fishkin says to be where the audience already is, even when no click comes back. L12 · L3

ALL TWELVE LETTERS

Each letter: what marketers did, and what changes

Five FOUND letters, then seven DRONICS motions. What the agent does and what a person decides is on each learning path.

Past, and present to future, for each letter
LetterPastPresent to future
F: Findable · FOUNDMarketers 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 · FOUNDMarketers 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 · FOUNDA 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 · FOUNDMarketers 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 · FOUNDMarketers 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 · DRONICSMarketers 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 · DRONICSMarketers 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 · DRONICSMarketers 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 · DRONICSMarketers 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 · DRONICSMarketers 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 · DRONICSMarketers 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 · DRONICSMarketing 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

A cybersecurity story spine

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.

1. The story spine

  1. The speed problem. Past: Security teams planned around attackers who worked at human pace. Present to future: AI tools help attackers work faster and at greater scale, so a defence has to act sooner than one person can. Claims to be sourced: CLM-001. Carried by FOUND-F, FOUND-U, DRONICS-D.
  2. Agents are new actors. Past: Software did what a person told it, when a person told it. Present to future: AI agents now take actions inside business systems, so a company needs to know which agents exist and what each may do. Claims to be sourced: CLM-002. Carried by FOUND-F, FOUND-D, DRONICS-O.
  3. Who is the agent?. Past: Access was given to people and reviewed now and then. Present to future: An agent needs its own identity, narrow access that ends when the task ends, and a named person who is accountable for it. Claims to be sourced: CLM-003. Carried by FOUND-O, DRONICS-N, DRONICS-I.
  4. What we let in. Past: Developers chose software packages by hand. Present to future: Agents may choose and install software too, so trust in a package has to be checked when it arrives, not after it runs. Claims to be sourced: CLM-004. Carried by FOUND-U, FOUND-N, DRONICS-R.
  5. The security team’s day. Past: Analysts joined alerts from many tools by hand. Present to future: Agents prepare the investigation and show their working. The analyst decides the response. Claims to be sourced: CLM-005. Carried by DRONICS-C, DRONICS-S.
  6. What a buyer can do on Monday. Past: Buyers read a vendor’s claims and discounted most of them. Present to future: A buyer can check each claim against its source, ask peers and partners, and start with one small, reversible step. Claims to be sourced: CLM-006. Carried by FOUND-D, DRONICS-D, DRONICS-S.
The claim register template and the content pack

2. The claim register (template)

Before any asset is made, every claim and number goes in a register with these columns:

  • ID
  • Claim, in plain words
  • Kind: fact, opinion or our claim
  • Number, if any
  • Source URL
  • First-hand or secondhand
  • Status: to be sourced, verified or retired
  • Date checked
  • Used in (letters and assets)
  • Approved by

CLM-001

Attackers who use AI tools work faster than before.

Number: [claim to be sourced: how much faster] · Status: to be sourced

CLM-002

Companies already run AI agents that act inside business systems.

Number: [claim to be sourced: how many companies] · Status: to be sourced

CLM-003

Agents often use access that was meant for people.

Number: [claim to be sourced: how often] · Status: to be sourced

CLM-004

Malicious software packages are a route into companies.

Number: [claim to be sourced: share of cases] · Status: to be sourced

CLM-005

Analysts spend time joining alerts from separate tools.

Number: [claim to be sourced: hours or alerts per day] · Status: to be sourced

CLM-006

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.

3. The content pack, mapped to the letters

FOUND-F

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.

FOUND-O

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.

FOUND-U

A brief for an original survey of security practitioners about AI agents. It is an idea to be commissioned; no result exists.

FOUND-N

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.

FOUND-D

A proof page that lists each distinctive claim, its source and its status. A certification is listed only if the company holds it.

DRONICS-D

Five answer-first landing pages for questions buyers search, and one small email test to people who asked a question.

DRONICS-R

A one-page partner pitch of three sentences, and a joint value proposition for resellers.

DRONICS-O

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.

DRONICS-N

Marketplace listing text and a co-marketing brief for one ecosystem partner.

DRONICS-I

A separate note for each of three analysts or creators the audience follows. Anything they say is shared only with their permission.

DRONICS-C

An agenda for a small monthly practitioners’ meetup on how to govern AI agents, with two members speaking.

DRONICS-S

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.

What is real, and what is not

  • This page, the past and future block on each letter and the hypothetical example are published today. Live
  • No result for any client is claimed. No customer, quote or adoption figure is given. We cannot control what an AI assistant says; we measure it and report.
  • Agents prepare. A person decides. Nothing goes outside the company without approval.

See also the Academy, the twelve letters and how Foundronics uses its own agents.

See where your company stands before the shift.

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