Ten AI tools we actually use for marketing in 2026

In short: Ten AI tools that actually get opened in a working week, from a small firm that does AI deployment for a living and runs its own marketing with the same stack. Two of them cost nothing, three more have free tiers a small firm can genuinely run on, and prices were checked on the vendors' own pages in September 2026. The one that has produced the most measurable pipeline is not a marketing tool at all, it is the thing that answers the phone.

Key takeaways

• Adoption is over as a story. Jasper's 2026 State of AI in Marketing, a survey of 1,400 marketers, puts AI use inside marketing organizations at 91%, up from 63% the year before, while the share who can prove a return sits at 41%. Almost everyone has the tools. Fewer than half can show what came back.
• The genuinely new category this year is AI visibility tracking: whether ChatGPT, Perplexity and Google's AI answers name you. Entry plans cluster around $99 a month for roughly 25 tracked prompts, and you can run a rough version of the same check yourself for nothing.
• A large part of the stack costs nothing: Search Console, PageSpeed, headless Chrome, the free tiers of a scraper and a scheduler, and an incognito window for checking whether the assistants mention you.
• Generated type is still bad. Every cover card, share image and proposal PDF here is drawn in HTML and screenshotted, and the image models are used for photography only.
• The tool with the clearest number attached to it is the voice agent. In one Toronto operation's CRM export, 34 of 130 new leads over two weeks came in through it, ahead of the next two listing portals combined.

How this list was picked

Before writing it we pulled 40 public LinkedIn posts on this exact topic through a scraper, sorted by reactions and comments. It cost about four cents and took nine seconds. The pattern was blunt. The two posts that pulled the most comments were both short personal lists in the shape of "the tools I keep opening", one from an operator naming eight tools and what each one is for, one from a community founder who polled his members and published the fifteen names that came up most. A 25-tool roundup organized by category, posted four days before we ran the scrape, had zero reactions.

So this is that shape, because the other shape is a directory, and directories are what the model gives you when you ask it for a list. Nothing below is affiliate linked. Three of the ten are things we sell work around, and where that is true it is marked in the entry.

One more framing note. This is written for an owner or a marketing lead at a firm of five to fifty people, not for an enterprise stack. The test throughout is not what the tool can do in a demo. It is what came off a person's plate this month.

1. One general model, one seat

Claude, ChatGPT and Gemini all sit at about $20 a month for the consumer tier, and the honest answer is that the second one you buy adds much less than the first. We run Claude, including for the code in client builds. Which one you pick matters less than what you stop using it for.

It is good at the blank page, at reading a long document you were never going to read twice, and at pattern work across a year of your own content. It is bad at anything where being confidently wrong costs you, which in marketing means numbers, client names, dates, and claims about your own results. Everything in this post that is a number was checked against a source outside the model.

The mistake we see most often is treating the chat window as production. Pasting things in by hand does not scale, it just moves the work. When the same prompt is being run more than a few times a week, that is the signal to wire it up, which is items nine and ten.

2. Perplexity or Exa, for research that carries its sources

Both answer a question and show you what they read. That single property is why they beat a raw chat window for anything you intend to publish: you can click the source and find out that the statistic everyone repeats came from a vendor's own blog post.

Perplexity has a free tier and a $20 Pro tier. Exa is the developer-shaped version, priced by search, and it is what we call from scripts when a keyword search will not find the thing. The research for this piece went through Exa, then every vendor price was confirmed on the vendor's own pricing page on September 10, 2026.

3. Google Search Console, still free, still the one that decides what to write

Nothing here has changed anyone's content plan more. Search Console tells you the queries you already appear for, the ones where you sit at position eleven, and the pages that are indexed rather than merely published. That is the entire brief for the next month of writing, given away for nothing.

The reason it beats a keyword tool for a small firm is that it is about you rather than about the market. A $139 a month research subscription tells you what is being searched. Search Console tells you what you can win this quarter. When we found that a city page had been indexed only three days before we started worrying about it, that was Search Console, and the answer was to wait rather than to build anything.

Pair it with the PageSpeed Insights API, also free, which is the engine behind our own free SEO check.

4. An AI visibility tracker, the one genuinely new category

This is what changed in the last eighteen months. A buyer asks an assistant which firms do X in Toronto, and the answer either contains you or it does not, and none of your rank tracking sees it. The tools that watch this are real now, and they are priced close together at the entry end. Semrush's AI Visibility toolkit lists at $99 a month for one domain and 25 tracked prompts across ChatGPT, Google AI, Gemini and Perplexity. Surfer's Standard plan is €99 a month and also tracks 25 prompts. Otterly starts at $29 a month for 15 prompts and runs to $189 for 100. Profound and its enterprise peers start where a small firm stops reading.

Notice the number that repeats: about 25 prompts. That is a list you could write on one sheet of paper. So before subscribing, do it by hand. Open an incognito window, ask the ten questions a customer would actually type, and write down whether you appear and who does instead. We ran exactly that test on ourselves in August 2026 and it produced an eight-point fix list, including a Google Business Profile category that was wrong and had been wrong for months. It cost an hour.

Buy the tracker when you need the trend line rather than the snapshot, when someone other than you has to read the report, or when you are being paid to move the number for a client. That last one is us: this is the work behind our SEO and AI search page, so discount accordingly.

5. Apify, for finding out what actually performs

Marketing teams guess about engagement more than they measure it. A scraper ends that argument in about a minute. Free tier, $29 a month for the Starter plan, and per-run costs in fractions of a cent.

We use it two ways. Before drafting anything for LinkedIn we pull the company page and check what has really posted and how it did, because the content log drifts and the platform does not. The last time we pulled ours it turned up seven posts logged as ready to schedule that had already gone out, one of them five days earlier, and it also settled that our followers had grown from 46 to 215 in three weeks with flat per-post numbers, which meant the growth came from invitations and the website rather than from the posts. That is not a flattering finding. It is the kind you only get from data you did not author.

The second way is the one at the top of this post: read the room before writing into it.

6. Gemini's image model, for photography only

Google's image model, the one everyone calls nano banana, is what we use for brand photography, holiday cards and carousel grounds. Two working notes that cost us time to learn. It ignores negative prompts, so describing what you do not want in frame puts it in frame, and you have to describe the picture you do want instead. And it is very good at faces and rooms and paper, and reliably bad at anything with text in it.

Which leads to the next one.

7. Headless Chrome and an HTML template, for anything with type on it

This is the least fashionable tool on the list and the one that survives every review. Every blog cover, share card, carousel slide and client proposal PDF here is a page of HTML rendered by Chrome at a fixed size and saved as an image. Fonts, colours and spacing come from the same tokens as the website, so the card cannot drift from the brand, and a new cover costs a small edit rather than forty prompts.

Generated type still comes out subtly wrong: kerning that no typographer would allow, a letterform that is not quite the letter. On a card with your company name on it, that is the whole point of the card. Chrome is free, the template is fifty lines, and the output is exact. Canva is the paid version of this idea for teams without a developer, and it is a fair buy at $15 a month.

8. Buffer, for scheduling and for the numbers afterwards

Free tier, $5 a month per channel on Essentials. It queues LinkedIn, X and Instagram, and more usefully it hands back real impressions and reactions without a scrape.

Two things to know before you build anything on top of it. Its API has no upload endpoint, so an image has to live at a public URL before Buffer will attach it, which in our case means a small public assets repository the scheduler pushes to first. And its timezone handling follows the account, not your desk, which is how a post lands at 4am if you are working across Toronto and Cairo. Both are ten-minute problems once you know them and an afternoon if you do not.

9. Make.com, n8n, or forty lines of Python

The wiring layer, and where most of the actual value in "AI marketing" hides. Make is fine for a low-stakes workflow inside one team. n8n self-hosted is the answer when the data cannot leave the country. A small custom service is right when the model is doing real reasoning rather than passing a field from one box to another, and it usually turns out cheaper than the subscription it replaces. The decision rule we use, with the costs, is in Make.com vs n8n vs custom Claude.

The marketing job this does is unglamorous: a lead arrives from a website form, a listing portal inbox, a personal Gmail thread and a phone, and one parser writes all four into the CRM as one record with the source attached. Until that exists, every attribution report you produce is a story. The full design is in automating lead intake.

10. A voice agent, which nobody lists as a marketing tool

Here is the number that reorganized how we think about this. In a Toronto property management and brokerage operation we work with, the CRM export for the two weeks of July 8 to 22, 2026 showed 130 new leads. 34 of them, 26%, came through the inbound voice agent. That put it second among all sources, ahead of the next two listing portals combined. In the same period, of 277 calls, none were missed and 74 arrived outside business hours.

Those are share-of-source figures, not a lift claim, and we have no pre-agent baseline to compare them against. We say that every time, including here. But the shape is hard to argue with: the best-performing thing in that marketing stack was the one that picked up on a Saturday morning, while the argument in the room was about ad creative. Voice production numbers like these are property management and brokerage only, and we do not claim them for trades or law firms. The build is described on AI voice agents.

What is not on this list, and why

The AI writing suites. Jasper, Copy.ai, Writesonic and the rest sit on top of the same rented models you already pay $20 for, and their real product is brand voice enforcement across a team of writers. If you have six writers, that is worth money. If you have one and a half, you are buying a wrapper.

AI ad creative generators. Genuinely useful if you are running enough paid social to burn through creative weekly. We are not, and neither is most of the audience for this post, so we have nothing honest to say about them.

Avatar video. Synthesia and HeyGen do what they promise. We have not found a use for a synthetic presenter in a business where trust is the entire sale.

All-in-one marketing suites. HubSpot Breeze and its peers put the interesting AI on a tier that lists in the high hundreds a month. That is a reasonable buy when the AI needs to read and write the same customer record as sales. It is a terrible first purchase, because you end up paying for an AI layer on a CRM you have not filled in yet.

There is also a category worth naming without naming vendors: the $2,000 a month tool that is a prompt, a database, and a dashboard. Not all of them, but more than the market admits. The test that catches it is to ask what happens if the model behind it improves next month. If the answer is "the product gets better for free", you are paying for a wrapper, and you should at least know that going in.

The test that decides whether a tool stays

One question, once a month, per tool: what did this take off a person's plate since the last time I asked?

If the answer is a name and a task, it stays. If the answer is a feature list, cancel it and see who complains. Nobody ever complains. This is the same reason we refuse to publish a return percentage for our own work, which is an argument we have made at length: the honest unit is hours off a specific person's week, and it is the one an owner can verify without taking our word for anything.

The paid half of the stack above comes to one model seat, one scraper plan, a few dollars per social channel, and usage on an image model. Almost all of it was bought after something specific broke, rather than before. That order matters more than the list does.

Frequently asked questions

What are the best AI tools for digital marketing in 2026?

For a small team, the working set is one general model such as Claude or ChatGPT at around $20 a month, a research tool that shows its sources such as Perplexity or Exa, Google Search Console for free, an AI visibility tracker such as Semrush's AI Visibility toolkit or Otterly, an image model for photography, a design path for anything with type on it, a social scheduler such as Buffer, and an automation layer such as Make.com or n8n. Larger teams add a brand-voice writing platform and an ad creative tool. The category list is stable now; what changes each year is which vendor is best inside it.

Which AI marketing tools are actually free?

Google Search Console, PageSpeed Insights, the free tiers of Perplexity, Buffer and Apify, headless Chrome for rendering images and PDFs, and an incognito window for checking whether AI assistants mention you. That covers research, measurement, publishing and design well enough to run a small firm's marketing, which is roughly how ours runs.

Do I need an AI visibility or GEO tool?

Only when you need a trend line or a report someone else reads. Entry plans run about $99 a month for 25 tracked prompts at Semrush and Surfer, and from $29 at Otterly. Before buying one, ask your ten real buyer questions in ChatGPT, Perplexity and Google's AI answers by hand and write down what comes back. If you cannot say today whether you appear at all, an hour of manual checking is the better first spend. What to do about the answer is on our SEO and AI search page.

Is AI content bad for SEO?

Publishing generated text unedited is bad for SEO, mostly because it says nothing only you could have said. Google's guidance targets content produced primarily to manipulate rankings rather than the tool used to write it. The practical rule we use: a piece has to contain at least one fact that came from inside the business, a number, a client sentence, a specific failure. If it does not, no amount of optimization saves it, and every competitor's model can generate the same paragraph.

How much should a small business spend on AI marketing tools?

Less than most vendors imply, and later. Start with one model seat at about $20 a month and Search Console at nothing, add a tool only when a specific job breaks, and cancel anything that cannot answer the monthly question above. Spending goes wrong in the other direction from what people expect: not too little, but too early, on a suite bought before there was a process to put in it. That failure pattern is why most AI pilots die after the demo.

Which of these do you sell?

Three overlap with our work: AI search visibility, the automation layer, and voice agents. The other seven we simply pay for. We have no affiliate relationship with any vendor named here, and the prices were taken from public pricing pages on September 10, 2026, which in this category means they are already slightly out of date.