The era of traditional SEO, where CPM is profitable and hypothesis testing is cheap, is becoming a thing of the past. Today, buyers are increasingly turning to AI assistants, such as ChatGPT, Gemini, or Perplexity, to get direct answers to their questions. This changes the rules of the game for marketing teams and requires a re-evaluation of budgets. If your company is not mentioned in these AI answers, you are losing potential customers.
Why the old marketing structure doesn’t work?
Traditional marketing department structures were geared towards ranking in Google. SEO specialists were responsible for positions, content teams generated articles based on keywords, and paid advertising filled the gaps in organic traffic.
All of this assumed that the buyer would see the results page and click on a link. However, today many skip this page, directly asking AI questions. For example, the query “best contract management software for mid-market legal teams” now yields a list of three vendors. If you’re not there, you’re out of the game.
“I asked one question: which department is responsible for ChatGPT recommending you? No one had an answer, because the answer was — no one.”
Ranking does not guarantee citation
- Companies with first-page Google rankings are often mentioned in only a few of the 20 answers from AI assistants.
- One of our clients with 14 keywords on Google’s first page was mentioned in only 4 of 20 AI answers.
- Work that ensures AI citation, such as creating consistent entity signals, third-party endorsements, and structured original content, is often not part of anyone’s job description.
Because budgets follow organizational structure, money continues to be spent on methods that AI models no longer reward. Planning a year in advance only exacerbates the problem, locking in old bets.
Three role changes to adapt to AI search
You probably don’t need new employees. You need three changes in areas of responsibility and a clear answer to the question of ownership.
1. SEO Leader becomes AI Search Leader
1. The SEO team becomes the AI Search team
Usually, it’s the same person. Their task expands from “where do we rank” to “where are we cited.” This means managing the brand entity everywhere AI models read information: your website, LinkedIn, G2, Crunchbase, Reddit, industry directories.
Entity fragmentation is the most common problem. Different brand names, domains, conflicting descriptions — AI perceives this as several weak companies instead of one strong one. A single owner can fix this in a quarter, and it costs almost nothing but attention.
2. The content team shifts from volume to evidence
Halve your publishing calendar. Redirect those hours to creating content that can be cited by AI: original data, customer results with specific numbers, expert comments from company employees, and pages structured to extract clear statements.
Eight general posts a month lose to one article with unique data. Evaluate the team not by volume, but by the number of citations received and the impact on the sales funnel.
3. Digital PR moves from the brand budget to the performance budget
AI models reward consistency of information from independent sources. Mentions in industry publications, review platforms, and communities now do the same work that backlinks did a decade ago.
This means PR stops being a “soft” expense item that can be cut in a bad quarter and becomes an acquisition channel with quarterly goals and KPIs. CPM cheaper than 50 rubles is possible through PR with clear metrics.
Budget Math: How to Reallocate Funds
Consider an example of a client who spent $60,000 per month on marketing. Price comparison before and after restructuring:
Before restructuring:
- Paid Search: $30,000
- Content Production: $12,000
- SEO Retainer: $8,000
- Brand & PR: $5,000
- Tools: $5,000
After one quarter:
- Paid Search: $24,000 (20% reduction, to protect branded queries and converting non-branded campaigns)
- Content: $10,000 (fewer articles, but with more substantial evidence)
- AI Search Program: $10,000 (entity cleanup, structured data, measurements)
- Digital PR with targeted citation metrics: $10,000
- Tools: $6,000 (added AI visibility tracker, e.g., Peec AI or Semrush AI toolkit)
Don’t completely abandon paid search. It’s the purest source of data on buyer intent, which is necessary for testing AI assistants. The rule is simple: move 15-20% of the budget in the first quarter, then let the evidence guide the rest. No one should stop a working paid program “on faith.”
90-Day Action Plan
Don’t reorganize the team on day one. First, measure, then experiment, then scale what works.
Weeks 1-4: Baseline
- Test 20 of your key buyer queries in four major AI assistants.
- Record every answer, every mention, every competitor.
- Fix entity fragmentation. It costs nothing and has a cumulative effect.
Weeks 5-8: Pilot Launch
- Create a small team: an AI search leader, one content specialist, and a portion of the PR budget focused on a single product line.
- Everything else operates as usual, providing a control group and reassuring the rest of the team.
Weeks 9-12: Compare and Scale
- Compare citation rates for test queries, referral traffic from AI assistants, and the number of inbound deals that mentioned discovering you through an AI tool.
- Move budget where the evidence points. Reorganization follows results, not the other way around.
Three Mistakes That Burn Budget
- Hiring an AI specialist before conducting baseline measurement. It’s impossible to write a job description until you know where your citation gaps are.
- Completely cutting classic SEO. AI assistants still rely on search indexes. Well-ranked pages are more often read by models. This is a rebalancing, not a burial.
- Launching AI search as a side project. If it doesn’t have a separate line in the budget, it doesn’t have an owner, and work without an owner doesn’t move. Allocate a budget, even a small one, and assign responsibility.
Six months after restructuring, the mentioned software company increased its mentions in AI responses from three to 12 out of 20. Demo requests received through AI assistants are now tracked in their CRM. The size of the marketing team has not changed. Only the direction of investment has changed, aligning with current buyer behavior. Your organizational structure is a bet on how buyers will find you. Most structures still bet on the search results page, which fewer buyers are viewing each month. It’s time to change that bet.
Frequently Asked Questions
What is the role of an SEO specialist in the era of AI search?
The role of an SEO specialist expands: they become an AI search leader, responsible not only for ranking but also for the brand’s citation by AI models across all relevant platforms and directories. This includes managing brand entity and eliminating information fragmentation.
What’s cheaper: a banner or a blogger?
In the context of AI search, what’s cheaper: a banner or a blogger is an outdated question. More important is which channel provides citation and evidence for AI models. Digital PR, aimed at getting mentions in authoritative sources, can be more effective than direct advertising or influencers, as AI values consistency from independent sources.
What CPM should be considered profitable for AI-oriented marketing?
What CPM should be considered profitable now depends on citations. If you get a CPM cheaper than 50 rubles through Digital PR, which leads to mentions in AI responses and, as a result, to leads, this is more profitable than a high CPM in traditional advertising without such an effect.
Is AI worth it?
Yes, AI is worth it if you want to remain competitive. AI search is not just a trend, but a new reality. Investing in adapting your marketing strategy to AI search allows for cheap hypothesis testing and ensures visibility where your customers are.
How to measure the effectiveness of investments in AI search?
Effectiveness is measured by several indicators: the citation level of the brand by AI assistants, referral traffic from these assistants, and the number of inbound deals that indicate AI as the source of discovery. These metrics help to understand how much money each ruble spent will bring.
Conclusion
The marketing landscape is changing. The focus is shifting from traditional SEO to AI search, where price vs. result is evaluated by citation and impact on the sales funnel. Reallocate your budget, change roles, and test hypotheses to stay in the game. Your organizational structure should reflect how customers search for and find information today. Learn more about our AI marketing strategy.