There’s a category of strategic work that small and medium businesses have always known they needed but rarely been able to justify the cost of doing properly: competitive intelligence, SEO strategy, systematic content production. These were agency deliverables — important, well-understood, professionally valuable — but priced for companies with budgets that most SMBs and startups don’t have.
The price of that work hasn’t disappeared. But the economics have changed significantly in the last two years, and the gap between what was accessible and what wasn’t has narrowed considerably. Here’s what’s changed and what it means in practice.
The old economics of strategic research
A thorough competitive analysis from a strategy agency has historically cost between €5,000 and €15,000. An SEO strategy — keyword research, technical audit, content roadmap — similarly. A content engine setup, with brand voice, content calendar, and initial batch of content, was comparable.
For a business with a €50,000 annual marketing budget, spending €10,000 on a competitive analysis was a significant decision. For a business with a €10,000 annual marketing budget, it was simply out of reach. The alternative was doing it yourself — which required expertise most small teams don’t have, and time most small teams can’t spare.
The result was a consistent information and strategy gap between large businesses and small ones. Big companies could afford thorough market intelligence. Small companies operated with less, made decisions with fewer data points, and competed at a disadvantage that had nothing to do with the quality of their product or the clarity of their vision.
What AI has changed
AI tools have changed the cost structure of producing these deliverables — not the value of them, and not the expertise required to interpret them well, but the time required to produce them at a professional standard.
Research that took a team of analysts a week can now be done by a single expert in a day. Synthesis that required a senior strategist’s extended attention can be structurally assisted by AI tools. Content production that required a writing team can now be produced in a concentrated day of AI-assisted work.
The result is a new price tier. The same quality of competitive analysis that cost €8,000 from an agency now costs €1,500 from a well-designed AI-powered service. The SEO strategy that cost €6,000 now costs €1,500. The content engine that was out of reach is now a one-day, fixed-price engagement.
This isn’t because the work is lower quality. It’s because the economics of producing high-quality work have changed. The expertise is the same. The methodology is the same. The time — and therefore the cost — is fundamentally different.
What this means for specific business situations
Founders preparing for a funding round
A competitive analysis for an investor pitch was previously either a DIY effort (risky, if you’re presenting to sophisticated investors who can spot thin research) or an agency engagement at a price point that hurt the runway. Now it’s a €1,500 investment that can be delivered in a day — fast enough to prepare properly for a meeting that was scheduled two weeks ago, affordable enough not to feel like a significant decision.
Marketing managers without a dedicated SEO function
SEO strategy was traditionally either handled by an agency retainer (expensive, often slow) or not handled at all (the most common outcome for SMBs). The middle option — a thorough, professional SEO strategy that a marketing manager can implement themselves — now exists. Keyword research, content gap analysis, technical audit, and a 12-month content roadmap for €1,500, delivered the next day.
Startups launching into competitive markets
A market entry competitive analysis used to be optional because the cost was high and the benefit was uncertain. Now the cost is low enough that it’s a straightforward value calculation: the intelligence you get from a thorough competitive landscape analysis is worth considerably more than the cost of getting it, in almost any market entry scenario.
Small businesses building a content presence
The content engine — brand voice, content calendar, initial batch of content — was previously either handled by a retained content agency (ongoing cost) or produced in-house by whoever had time (inconsistent quality and cadence). The one-day content engine build is a new category: professional quality, fixed cost, no ongoing commitment.
What’s still expensive — and why
Not everything has changed. Some categories of strategic work remain expensive because the cost is in human time that AI tools can’t compress.
Primary research — running customer interviews, managing focus groups, conducting user testing — requires human facilitation and the time to recruit participants, run sessions, and synthesise qualitative findings. AI tools don’t accelerate this meaningfully.
Long-term strategic advisory — the kind of ongoing relationship where an advisor is genuinely embedded in your business over years — is still expensive because it requires sustained, personalised attention that doesn’t have a fixed scope.
And highly bespoke projects — situations that are genuinely unusual and require a strategic framework built from scratch rather than a well-designed existing methodology applied to a new context — still benefit from the kind of extended, exploratory engagement that can’t be compressed into a day.
The category that’s changed is the bounded, well-defined strategic deliverable: the competitive landscape, the SEO strategy, the content system. For these, the affordability gap has closed.
Frequently asked questions
Is cheaper strategy actually as good as expensive strategy?
For the specific outputs that AI-powered services deliver — competitive analysis, SEO strategy, content production — the quality is comparable to what agencies produce at much higher cost. The value of the more expensive option is in situations that require primary research, long-term advisory, or highly bespoke strategic thinking. For bounded, research-based deliverables, the price difference reflects the cost structure, not the quality of the output.
How do I know which strategic investments to prioritise?
Start with the decision you’re trying to make. If you’re entering a new market, competitive intelligence is the priority. If you’re trying to grow organic traffic, SEO strategy is the starting point. If content consistency is the bottleneck, a content engine build makes sense. The lower price point doesn’t mean you should commission all three at once — it means each one is now a straightforward cost-benefit calculation rather than a budget-stretching decision.
Can an SMB realistically implement what an AI-powered strategy delivers?
Yes — and this is part of why the model works for SMBs specifically. AI-powered strategy deliverables are designed to be actionable: they include specific next steps, prioritised action lists, and ready-to-use outputs rather than executive summaries designed for board presentations. The implementation gap — the difference between what a strategy says to do and what a team can actually execute — is a real consideration, but it’s addressed by the specificity and practicality of the output, not by the size or cost of the engagement.
Will this price tier last, or will it go back up?
The price difference between AI-powered services and traditional agencies is structural, not temporary. It reflects different cost structures, not a promotional phase. As AI tools improve, the quality ceiling of AI-powered services rises, and the cost advantage is likely to persist or increase. The businesses that build the methodology and expertise now will maintain an advantage as the tools develop further.
inaday.ai exists to close the gap — delivering competitive analyses, SEO strategies, and content engines at a price point that makes professional quality accessible to SMBs and startups. See what’s included →