When direction keeps moving
Does this sound familiar?
You work in marketing inside a complex enterprise technology company. You are responsible for branding, communications, PR, events, campaigns, advertising, website updates, interviews, talking points, and thought leadership.
Working until 2am is common. Not because marketing lacks effort, but because direction keeps moving.
The positioning changes. The target market changes. The leadership story changes. The website, campaign narrative, sales deck, and spokesperson brief all have to follow.
Then the direction changes again.
This is direction debt: the cost of changing commercial direction without enough evidence that the next direction is better.
The cost of changing direction
Every change leaves work behind. Messaging is abandoned before it has time to settle. Campaigns stop before the organisation learns from them. Sales teams are briefed again. Content loses the chance to build authority. The market receives yet another version of the company.
Marketing becomes the organisation's shock absorber. Leadership changes direction, marketing absorbs the impact, and the team is blamed when buyers remain confused.
Marketing is not failing to execute the strategy.
It is being forced to repeatedly liquidate the previous one.
Change itself is not the problem
Change itself is not the problem. Markets move. Buyer priorities shift. Regulations create pressure. Competitors reshape categories. Strategies sometimes fail.
The problem is changing direction without enough evidence.
A new leader prefers different language. A competitor launches something. A board conversation creates urgency. One sales anecdote suddenly becomes the market truth. A campaign does not perform quickly enough.
The organisation moves.
But movement is not necessarily strategy.
Most data arrives after the decision
Marketing teams already have plenty of data: traffic, engagement, event attendance, downloads, leads, pipeline, and conversions.
This information is useful, but much of it explains what happened after the direction was chosen.
What is often missing is the evidence that should shape the decision before the work begins.
Buyer questions rising in one country should affect market priority. A competitor owning the language of a category should affect positioning. Buyers associating the company with a legacy product should affect the message.
A group of accounts facing the same regulatory or operational pressure should affect targeting. CIOs and CISOs framing the same purchase differently should affect the campaign. Weak or irrelevant sources shaping how the company is understood should affect the authority strategy.
Useful intelligence does not simply report.
It redirects.
AI should improve direction, not only production
Using AI is no longer complicated.
AI discovery optimisation is.
An answer engine has limited time and a limited token budget to retrieve, rank, and compress information before answering a question someone asked moments earlier, somewhere in the world.
Yes, the AI deciding whether to mention you is working against the clock. It will not care that your team spent three weeks perfecting the homepage.
It has to decide which sources to trust, which passages matter, which companies belong in the comparison, and what answer is useful enough to present.
And just like you, it has a budget.
A token budget.
That is why technical discoverability matters too. Itika Singhal has written separately on why page speed matters for AI discovery, because slow or hard-to-parse pages can reduce the chance that AI systems retrieve, cite, and use your content.why page speed matters for AI discovery
Most of your content will not make the cut.
Your company is competing for more than visibility. It is competing to be understood correctly, retrieved quickly, supported by credible evidence, and selected within a constrained answer.
The findings can change the work
That means understanding how buyers frame the category, which competitors enter the conversation, which sources shape the response, where market pressure is increasing, which accounts are moving towards action, and which buyer roles are connected to the problem.
It also exposes the gap between how a company describes itself and how the market understands it.
This is not a task for an intern running a few prompts on ChatGPT and changing a headline in WordPress. It is not a website refresh or another content exercise handed to the digital team.
The findings can change which market matters, what the message should be, which buyers to prioritise, which accounts deserve attention, and where the next investment should go.
The real advantage of AI is not faster production.
It is better direction.
When effort keeps meeting resistance
Direction debt often appears as commercial friction.
The campaign gets attention but does not convert. Event invitations go unanswered. Discovery calls become harder to secure. Sales conversations stall before they begin.
The instinct is to change the strategy again.
But perhaps the strategy is not the only thing working against you.
Is the ChatGPT you are so comfortable using quietly working against you the moment your prospect opens it on their phone?