# Digital marketing trends 2026: what held up and what is still coming

> The 7 digital marketing trends of 2026 reviewed in July: what held up, what was hype, and the checklist for the second half. No reheated predictions.

**Author:** Murilo Souza · **Category:** Strategy · **Published:** 2026-07-12
**Canonical:** https://kokoagency.ca/blog/digital-marketing-trends-2026

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**The digital marketing trends that held up in 2026, as of this July checkpoint, are four: AI search (GEO), AI agents running paid media, social search, and the race for first-party data with server-side tracking.** The other three every January report promised — generative AI dominating creative, CRMs reinvented by AI, and retail media — are at very different stages of "dominating": one became a problem of excess, one is advancing quietly, and one is still a party for large advertisers.

This post lands in July on purpose. Every January the market dumps the same avalanche of trend posts (much of it written by AI, which has its own irony), and nobody comes back to check the score. We decided to check at mid-year, while there is still time to correct course for the second half.

The backdrop holds up: Canada put **$18.2 billion into digital advertising in 2024**, up 16.6% over 2023, according to the [IAB Canada Internet Advertising Revenue Survey](https://iabcanada.com/research/internet-ad-revenue-reports/), with search and social together taking roughly three quarters of that. Money and attention exist. The 2026 fight is about where that attention happens, and it is drifting away from the places your dashboard measures well.

## Digital marketing trends 2026, in one sentence

**In 2026 brand discovery fragmented across Google, generative AI (ChatGPT, AI Overviews) and social search (TikTok, Instagram, Reddit), while operations gained AI agents; whoever won the first half was whoever fixed their own data and citable content instead of stacking up tools.**

Direct answer given. Now the reckoning, trend by trend.

![Timeline from January to July 2026 with the half-year milestones in digital marketing: January prediction-post season, March with AI Overviews consolidating and 69% of Google searches ending with no click, April 29 with Meta launching Ads AI Connectors in open beta with 29 tools over MCP, May with Meta CPM up 23.8% across two years, and July with this article's mid-year checkpoint](/images/blog/tendencias-2026-timeline.svg)

## The July scoreboard: promised vs. delivered

| Trend | What January promised | Status in July 2026 | Verdict |
|---|---|---|---|
| **AI search and GEO** | "AI Overviews will change SEO" | 69% of searches with no click; GEO became a discipline | Confirmed |
| **AI agents in media** | "AI will run your campaigns" | Meta shipped Ads AI Connectors (Apr 29); method still rare | Half confirmed |
| **Social search** | "Gen Z searches on TikTok" | Behaviour consolidated, and not only in Gen Z | Confirmed |
| **Generative AI in creative** | "Ad production almost free" | Cost fell, feeds flooded with generic work | Confirmed, with a side effect |
| **First-party data and server-side** | "The cookie dies (again)" | Stopped being a trend, became a prerequisite | Confirmed quietly |
| **AI CRM** | "Traditional CRM falls this year" | Adoption grows in pilots, not mass replacement | In progress |
| **Retail media** | "The 3rd big digital channel" | Growing, concentrated among large advertisers | Hype for SMBs, real for enterprise |

![Hype versus real adoption matrix placing the 7 digital marketing trends of 2026: GEO and social search in the high-hype, high-adoption quadrant; AI agents in paid media with very high hype and still-medium adoption; generative AI in creative with high adoption and a generic-content side effect; first-party data with low hype and high adoption; AI CRM growing through pilots; and retail media with high hype and adoption concentrated among large advertisers](/images/blog/tendencias-2026-matriz-hype.svg)

## 1. AI search and GEO: confirmed, faster than expected

**What January promised:** that Google's AI Overviews and ChatGPT would become a front door for brand discovery, and that optimizing to be cited by AI would be SEO's new discipline.

**What happened by July:** confirmed comfortably. Roughly **69% of Google searches end without a click** on any site, and the overlap between the top organic results and the sources AI cites fell to **under 20%**. We published the full guide in [GEO: how to get your brand cited by ChatGPT and Google AI](/blog/generative-engine-optimization/), and the practical companion in [how to appear in ChatGPT](/blog/how-to-appear-in-chatgpt/). A prospect opening a sales call with "ChatGPT recommended you" stopped being an anecdote.

**What to do in the second half:** pick two or three pillar pages and rewrite them in citable format: direct answer in the first 200 words, a specific sourced number, H2s mirroring the user's question. And measure citations monthly, even by hand, asking ChatGPT and Gemini what they say about your category.

## 2. AI agents in paid media: the tool arrived, the method did not

**What they promised:** AI running campaigns end to end, media buyers obsolete by December.

**What happened:** the tool half came true on **April 29, when Meta launched Ads AI Connectors in open beta**: an official [MCP](https://modelcontextprotocol.io/) server, 29 tools, running a Meta Ads account from inside Claude or ChatGPT with no code. The "buyer obsolete" half did not. Meta's CPM rose **23.8% in two years** (from US$8.79 to US$10.88 in Q1) and **45% of small advertisers still waste at least 25% of their budget** on campaigns that do not convert. A new tool in the hands of someone with no method only accelerates the waste.

**What to do:** test agents, yes, but in a sandbox: budget cap, restricted scope and a human approving every campaign change.

## 3. Social search: searching outside Google became an adult habit

**What they promised:** that Gen Z would look up restaurants on TikTok instead of Google.

**What happened:** it happened, and it stopped being a Gen Z thing. Recommendation search (where to eat, what to buy, who to hire) moved heavily to TikTok, Instagram and Reddit, a shift Google itself acknowledges in [Think with Google](https://www.thinkwithgoogle.com/) material. The detail almost nobody executes: these platforms have internal SEO. Captions, hashtags, on-screen text and comment replies index in search, and very few brands optimize for it.

**What to do:** treat the top 10 search terms in your category as a social content brief, with the keyword spoken and written in the video. And monitor Reddit to know what is already being said about your brand.

![Diagram of brand discovery fragmenting in 2026 into three front doors: traditional Google search with 69% of searches ending with no click and answered by classic SEO, AI search in ChatGPT, AI Overviews and Gemini with under 20% overlap with the organic top and answered by GEO and citable content, and social search on TikTok, Instagram and Reddit with high-intent recommendation and answered by in-platform SEO: caption, on-screen text and comments](/images/blog/tendencias-2026-busca-fragmentada.svg)

## 4. Generative AI in creative: the sea of slop arrived as promised

**What they promised:** creative production cost falling toward zero, AI-generated video at industrial scale.

**What happened:** the cost did fall, and the collective result was predictable: feeds full of generic work that all looks the same, which the market nicknamed slop. When everyone can generate 50 ad variations in an afternoon, everyone's 50 variations look alike. In the accounts we run, creative with a real face, local context and an opinion has sustained performance above fully generated work (trench report, not market statistic).

**What to do:** use AI where it pays (variation, format adaptation, editing) and concentrate human effort on what it does not have: real customer stories, behind the scenes, a person's face and voice, all bylined. An identifiable author became a trust signal, including for the generative engines deciding who to cite.

## 5. First-party data and server-side: nobody finds it sexy, everybody needs it

**What they promised:** the end of the third-party cookie. They have promised this since 2020; the cookie has died more times than a soap opera villain.

**What happened:** Chrome backed off again, and signal loss continued anyway: iOS restrictions, ad blockers, denied consent. Anyone relying on a browser pixel alone measures less and less of what happens. Server-side tracking (Meta CAPI, GA4 server-side) left the trend list and joined the prerequisite list for a serious operation. What travels inside those integrations is JSON: we wrote a [JSON guide for marketers](/blog/what-is-json-in-marketing/) precisely so you can debug conversions without depending on a developer.

**What to do:** audit event coverage (how much of what happens on the site actually reaches Meta and GA4), implement CAPI if you have not, and build first-party capture: newsletter, gated content, community.

## 6. AI CRM: advancing in pilots, not in revolution

**What they promised:** traditional CRMs replaced by AI by year end.

**What happened:** no mass replacement. Pilot adoption, yes, and with results. The gains we documented in [how AI is replacing traditional CRMs](/blog/ai-replacing-traditional-crms/) still hold: dynamic lead scoring, automatic activity logging (a rep spends on average **5.5 hours a week** feeding a CRM by hand) and **40 to 60% higher lead conversion** in operations that implemented it properly. What holds adoption back is process: an AI CRM on top of a messy funnel will organize the mess, just faster.

**What to do:** pick one funnel (only one), run a 90-day pilot with a goal defined before you start, and compare against the old process. If it worked, expand in Q4.

## 7. Retail media: real in aggregate, distant for SMBs

**What they promised:** retail media as the third big digital channel, behind only Meta and Google.

**What happened:** the channel is growing (Amazon Ads, Walmart Connect, grocery chains building their own networks), with double-digit annual projections. What the January posts forgot: operating it well still requires a large catalogue, margin to survive the auction and a dedicated team. Enterprise advertisers are harvesting. Service SMBs, the largest slice of the real market, have no relevant inventory there yet. The Canadian digital pie keeps growing ($18.2 billion in 2024, up 16.6%), and retail media is the new slice fighting for space inside it.

**What to do:** if you sell product on a marketplace, test in Q3 with a learning budget so you arrive calibrated for Black Friday. If you are services or B2B, ignore the noise without guilt and put the budget where your customer actually decides.

![Bar chart of digital advertising investment in Canada per the IAB Canada Internet Advertising Revenue Survey: about $15.9 billion in 2023 and $18.2 billion in 2024, highlighting the 16.6% rise and noting that retail media is the growing slice inside that pie](/images/blog/tendencias-2026-investimento-br.svg)

## The second-half checklist, by company size

If the coming half fit on a task list, this would be it.

**Small SMB (revenue up to $2M CAD/year):**
- **Basic measurement standing:** GA4 configured and Meta CAPI live, before any new budget
- **One pillar page in GEO format:** direct answer at the top, citable data, question structure
- **Social search content:** videos answering the 10 most common searches in your category
- **Distrust "100% AI managed" packages:** the amateur now has MCP, and the auction charges dearly for automated mistakes

**Mid-size SMB ($2M to $15M CAD/year):**
- **Full server-side tracking,** with an event coverage audit
- **An AI agent pilot in media** in a sandbox, with a budget cap and human approval
- **Bylined content with a real face:** one format a week, without outsourcing the voice to AI
- **An AI CRM pilot** on one funnel, with the goal agreed beforehand

**Mid-size and large companies:**
- **A first-party data strategy:** a CDP or lean warehouse, with audience activation
- **A retail media test** with a learning budget before Black Friday
- **AI governance:** who approves what the agent may do, with an audit trail
- **AI citation measurement** (share of model) running alongside brand tracking

![Second-half 2026 checklist split into three columns by company size: small SMBs with basic GA4 and CAPI measurement, one pillar page in GEO format, social search videos and a warning about "100% AI managed" packages; mid-size SMBs with full server-side tracking, an AI agent pilot in a sandbox with human approval, bylined content with a real face and an AI CRM pilot on one funnel; mid-size and large companies with a first-party data strategy, a retail media test before Black Friday, AI governance and AI citation measurement alongside brand tracking](/images/blog/tendencias-2026-checklist-semestre.svg)

## How Koko works on this

We are a boutique agency, the right size not to push trends as products. Second-half work with our clients is the checklist above in practice: tracking audits, content AI can cite, an agent pilot with supervision, and media with a method. No promised revolutions, with the score open every month.

If you want to review your own priorities for the half with people who do this daily, you can [talk to us](/#contact).

## FAQ

**What are the main digital marketing trends in 2026?**
AI search and GEO, AI agents in paid media, social search (TikTok, Instagram and Reddit as search engines), generative AI in creative, first-party data with server-side tracking, AI CRM and retail media. As of July 2026 the first four held up in practice. Retail media is growing but stays concentrated among large advertisers.

**Does GEO replace SEO in 2026?**
No. SEO is still necessary because AI engines feed on the same indexed content, and GEO stacks on top: ranking well no longer guarantees a citation (the overlap between Google's top and the sources AI cites is under 20%). Content has to work for a person, an indexing crawler and a generative engine at once.

**Is it worth letting an AI agent manage my paid media?**
Running alone, no. Meta's Ads AI Connectors (April 2026) are good for reporting, workflow and assisted management, but they do not replace method: with Meta's CPM 23.8% more expensive in two years, an automated mistake gets costly fast. Use agents with a budget cap and human approval for every campaign change.

**What is social search and why does it matter in 2026?**
It is the habit of searching directly inside a social network (TikTok, Instagram, Reddit) instead of Google, mainly for product and service recommendations. It matters because those searches carry high purchase intent and almost no brand optimizes for them: captions, on-screen text and comments index in each platform's internal search.

**Does retail media make sense for SMBs in 2026?**
Only if you sell physical product on a marketplace (Amazon, Walmart, retail apps). In that case a test with a learning budget in Q3 is worthwhile, with an eye on Black Friday. For service SMBs or B2B, the channel does not yet offer relevant inventory; better to invest in search, social and your own list.

**On a limited budget, what should I prioritize in the second half of 2026?**
In this order: working measurement (GA4 and CAPI), one pillar page optimized for GEO, and social search content answering your category's searches. All three cost more discipline than money, and they are the base that makes every dollar of media spend go further.

## Conclusion

A good share of the "trends post" genre is an anxiety industry: convincing you everything changed so it can sell you this season's solution. The July checkpoint shows something else. The trends that held up in 2026 reward homework: first-party data collected properly, content with an author and an opinion, method before automation.

The new tool (agent, MCP, video generator) amplifies what already exists in the operation. If method exists, it amplifies method. If mess exists, you already know what it amplifies.

The second half starts Monday. The checklist is right above.

## Read next

- [GEO: how to get your brand cited by ChatGPT and Google AI in 2026](/blog/generative-engine-optimization/) · the full guide to trend #1
- [How to get your company to show up in ChatGPT and AI search](/blog/how-to-appear-in-chatgpt/) · the practical playbook
- [How AI is replacing traditional CRMs](/blog/ai-replacing-traditional-crms/) · trend #6 in depth
- [What JSON is and why marketing needs to read it](/blog/what-is-json-in-marketing/) · the technical base of server-side tracking

## Sources and references

1. [IAB Canada · Internet Advertising Revenue Reports](https://iabcanada.com/research/internet-ad-revenue-reports/)
2. [Think with Google · search and consumption behaviour](https://www.thinkwithgoogle.com/)
3. [Model Context Protocol · official documentation](https://modelcontextprotocol.io/)
4. [Google Search Central](https://developers.google.com/search)

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*This is Koko's checkpoint on 2026 so far. If you want to review your second-half strategy without buying hype, [talk to us](/#contact).*