Search Marketing has forgotten how to measure success.
Search marketing has more data than almost any other marketing discipline. We can measure rankings, impressions, clicks, cost per click, search volume, conversions, quality scores and assisted revenue, yet despite having access to all this information, search marketing has developed a remarkably narrow view of success.
SEO teams report on organic rankings and traffic. Paid media teams report on clicks, conversion rates and cost per acquisition. More recently, GEO specialists have started measuring whether brands appear within AI-generated answers. Each team optimises its own version of search visibility, usually through separate strategies, budgets and reporting models.
The buyer does not experience any of these divisions. They see a collection of possible answers to a question and, increasingly, may receive an answer without visiting a website at all. Search has changed. The way we organise and measure it has not.
Combined Search became fragmented search
The original principle behind Combined Search was sensible. SEO and paid media should work together because they respond to the same underlying demand. Organic visibility can create sustainable coverage, while paid search can provide immediate presence, support ranking gaps and test which search terms create commercial value.
In practice, the disciplines have usually remained separate. SEO teams are rewarded for rankings and organic traffic, while paid teams are rewarded for leads and advertising efficiency. This encourages both teams to defend their own channel rather than determine the most commercially effective way to own the search journey.
The result is duplication in some areas and complete absence in others. A business may pay repeatedly for traffic on terms where it already has strong organic visibility, while commercially important searches remain unsupported because neither team considers them part of its channel target.
AI-generated search has added another layer of fragmentation. GEO is frequently positioned as a new service sitting beside SEO and paid media, creating another strategy, report and set of metrics. This repeats the organisational problem rather than solving it. Combined Search was not replaced by GEO. It was expanded by it.
Buyers do not search in channels
A buyer researching a complex B2B purchase may begin with a broad question, refine it into a recognised problem, explore possible approaches, compare providers and eventually search for a specific brand. During that journey, they may encounter a paid advertisement, organic result, industry publication, AI Overview, ChatGPT recommendation, comparison website or remarketing campaign.
They do not care which internal team created each interaction. They care whether they can find a credible answer.
The traditional results page is no longer the complete search environment. Google describes AI Overviews as a way to help people understand complex questions quickly before exploring supporting links. Pew Research found that 18% of the Google searches in its March 2025 study produced an AI summary and that users were less likely to click a conventional result when one appeared. Bain has also reported click-through reductions of up to 30% in some B2B categories, including B2B software.
This does not mean search has become less important. It means traffic has become a less complete measure of influence. A buyer may discover, evaluate and shortlist a supplier without producing the sequence of website visits traditional reporting expects. If the brand appears within the answer, shapes the recommendation or enters the consideration set, search marketing has created value even when no click occurs.
The commercial question search teams should answer
The most useful question in modern search marketing is not whether SEO or paid media produced the conversion. It is: How much of our buyers’ search journey do we own?
Answering that requires a broader view of search visibility. We need to understand whether the brand is discoverable when buyers first recognise a problem, explore possible approaches, compare solutions and search for a provider. That visibility may be created through an organic ranking, paid placement, AI citation, third-party recommendation or branded search.
The four measures of modern search
Share of Search
Share of Search measures the proportion of branded searches within a competitive category. Rather than showing whether a company ranks for an individual keyword, it indicates how frequently buyers actively look for that brand compared with competitors.
Les Binet’s work with the IPA demonstrated its potential as a leading indicator of market share, although the relationship varies by category. For B2B organisations, movement in Share of Search can show whether brand-building activity is increasing future demand before it appears in the CRM.
Organic search visibility
SEO visibility should establish whether the organisation appears for the problems, questions, categories and solutions relevant to its buyers. Rankings remain useful, but they need to be interpreted commercially. Ranking first for a high-volume informational term may create less value than ranking fourth for a lower-volume search used by buyers evaluating a specific requirement.
Organic reporting should connect visibility with buyer intent and commercial outcomes, identifying where strong coverage reduces the need for paid investment and where ranking gaps require support.
Paid search coverage
Paid media gives organisations control over where they appear, what proposition is presented and which destination buyers reach. It can create immediate visibility, test new markets and reveal which terms produce commercially valuable engagement before an organic strategy has matured.
Paid search should not become a permanent tax on visibility. Where organic performance is already strong and paid activity adds little incremental value, the budget may be more useful elsewhere.
The purpose of paid search within a Combined Search strategy is not simply to generate the cheapest lead. It is to fill the most commercially important visibility gaps.
AI and GEO visibility
AI visibility measures whether a brand is present, cited and accurately represented within AI-generated answers. This includes Google AI Overviews, conversational search engines and large language models used during B2B research.
Organisations need to understand whether AI systems recognise them as credible, associate them with the right subjects and include them in recommendations. Websites increasingly act as source material for AI systems as well as destinations for buyers.
A Unified Search Visibility model
| Search layer | What it tells us | Commercial question |
| Share of Search | Whether active interest in the brand is growing | Are more buyers looking for us? |
| Organic visibility | Where the brand has sustainable authority | Which valuable searches do we already own? |
| Paid coverage | Where investment provides incremental visibility | Which commercial gaps should we pay to fill? |
| AI and GEO visibility | Whether the brand appears within generated answers | Are AI systems recommending or citing us? |
The purpose is not to create an arbitrary score that hides the detail. It is to give SEO, paid media, content and brand teams one commercial map of the search journey.
What Combined Search looks like in practice
Consider a technology provider selling Microsoft Dynamics consultancy. Its paid team may bid on high-intent terms such as “Microsoft Dynamics partner”, while SEO creates content around implementation, migration and integration. Separately, content may publish broader transformation articles and GEO may test whether the company appears in AI recommendations.
A Combined Search strategy considers these activities together. If the business ranks strongly for “Microsoft Dynamics implementation partner”, paid media should test whether running both listings creates meaningful incremental value. If organic visibility is weak for migration searches but paid terms produce strong opportunities, the SEO roadmap should respond. If AI platforms recommend competitors when buyers ask for implementation partners, the content and authority strategy should investigate why. If Share of Search remains static despite strong non-branded visibility, the organisation may be capturing demand without building future preference.
Each channel provides information that should change the decisions made by the others.
Search marketing needs one commercial owner
Combined Search is not primarily a reporting challenge. It is an organisational one. As long as SEO and paid media are rewarded for protecting their own performance, they will optimise different versions of the same demand. Adding GEO as another independent function will make that fragmentation worse.
Someone needs to own the complete commercial search journey. That does not mean removing specialist expertise, but SEO, paid media, content and GEO should operate from one view of buyer demand, one set of commercial priorities and one understanding of where investment creates the greatest incremental value.
The goal is not to prove which channel generated the click. It is to ensure the brand is visible, credible and preferred at the moments that shape a buying decision.
Search marketing has not lost its value. It has outgrown the way we measure and organise it. Combined Search was never just SEO and PPC working more closely together. It was the recognition that buyers experience one search journey, regardless of how agencies divide their services.
AI has made that journey broader, less predictable and less dependent on website traffic. The response should not be another isolated discipline. It should be a more complete commercial strategy built around Total Search Visibility.