35 of 47 Google Results for AI Support Are Vendor-Written

Type best Zendesk alternatives into Google. The first result is Kayako, which sells a Zendesk alternative and ranks itself first. The third is RedmineUP, which sells a Zendesk alternative and ranks itself first. The sixth is Worktual, which sells a Zendesk alternative and ranks itself first.

None of that is a scandal on its own. Any company is entitled to publish a list and to be proud of its own product. The problem is what the page is missing, which is anybody without something in the race.

So we counted. Six searches a buyer in this category would genuinely run, every page-one result written down, each one classified by who owns the domain it sits on. Of 47 results, 35 were published by a company that sells customer support software. Ten were independent. Two we could not trace to a publisher and left as unclear.

How this was counted

Six queries, run in Chrome on 5 August 2026, each one as google.com/search?q=<query>&pws=0. The pws=0 parameter turns off personalised results. The browser was signed in to a Google account, which that parameter reduces but does not fully eliminate, and the results were US English. An automated search tool was tried first and returned a materially different page, so it was abandoned. For a page whose whole claim is go and check this yourself, only what a browser actually shows is defensible.

A result counts as vendor-authored if the domain belongs to a company selling customer support, help desk or AI support software. Media, forums, code repositories and individuals count as independent. Two domains could not be traced to a publisher, so they are marked unclear rather than pushed into whichever column would have suited the argument.

Two of the six runs recorded the rank of every result. The other four recorded the results without their positions, so those rows are listed unranked. Numbering them in the order they were written down would have looked tidier and would have been invented.

One run, one day, one location, one person. Google varies by geography, by session and by hour, and none of these positions should be read as fixed. What is being claimed is narrower than that: six unrelated head queries, checked twice five weeks apart, both times returned page-one results written overwhelmingly by the companies being evaluated.

Drop the open-source query, for the reason in the note above it, and the ratio gets stricter rather than looser: 31 of 37 across the other five.

What 'per-resolution vs per-seat pricing' returns

This is a pricing question with a real answer that depends on your ticket volume, and getting it wrong is expensive in both directions. Nine results came back. Eight were companies selling support software.

Two of the nine were the same company. Fin, formerly Intercom, charges per resolution, and holds two of the nine explanations of what per-resolution pricing is.

Nothing on those pages is factually wrong. They are answering a question whose answer determines whether their own pricing model looks like the sensible one, and they are answering it twice on the same results page.

One trap for anyone re-running this: usefini.com (Fini AI) and fin.ai (Fin, formerly Intercom) are different companies with near-identical names, and both rank for this query.

What 'best Zendesk alternatives' returns

Six web results. Five sell a Zendesk alternative, and four of those five put their own product at number one on their own list.

The single independent result is The CX Lead, a trade publication. A video result from Desk365 opens by naming Desk365 the best overall Zendesk alternative.

Salesforce's entry does something stranger than self-ranking, and it gets its own section below.

What 'open source help desk' returns

One word in this query decides everything. Someone searching it has usually already decided they want to host the thing themselves, read the code, or avoid a per-seat bill entirely.

Three of the products recommended on page one are paid SaaS. Tidio, Featurebase and IrisAgent are all closed, hosted products, and all three appear inside articles about open-source help desks.

The top result is FreeScout's own blog, ranking FreeScout first, in an article dated 28 November 2022 and titled 5 Best Open Source Helpdesk Systems 2026. Undated content is a problem across this category. Content dated three years forward is a different problem.

The genuine open-source options are all there: Zammad, osTicket, UVdesk, Frappe, the Frappe repository itself and a thread on r/selfhosted. A reader who knows the category will find them. A reader who does not will find Tidio first.

What 'a good ticket deflection rate' returns

Eight results, seven of them from companies selling deflection. They do not agree with each other, and the disagreement is not small.

Giva says 20 to 30 per cent for most organisations. Voiceflow says 70 to 90 per cent containment is achievable within months. A buyer who reads the whole page comes away knowing that a good deflection rate is somewhere between a fifth and nine tenths of their tickets, which is not knowledge.

The spread is not evidence that anyone is lying. Deflection depends on what your tickets are actually about, how well documented your product is, and whether an abandoned chat counts as deflected. It is evidence that the number means very little without those three attached, and not one of the eight pages attaches all three.

What 'how to set up AI customer service' returns

Six of the seven web results sell something you would use to do it: HubSpot, AWS, IBM, ChatBot.com, Zapier and Zendesk. Zapier's guide recommends building the bot with Zapier Chatbots. The video results are Botpress, Klaviyo and CloudTalk.

This is the query where the conflict does the most damage, because a setup guide's entire job is to tell you what to do first. Every one of those six answers that with a product, and it is theirs. The only independent result on the page is one person's Medium post.

What 'Freshdesk vs Zendesk' returns

The top two organic results are Freshworks, who own Freshdesk, and Zendesk. In that order, one directly beneath the other.

PCMag and a Reddit thread are the two independent results, sitting at positions six and four. Hiver, at five, competes with both companies and has its own reasons for how it frames the comparison.

What did not reproduce

The first run of these queries was 29 to 31 July 2026, for unrelated pages, and it recorded conclusions without keeping the result lists. That made it uncheckable, which is why it was run again before anything was published.

Two came out weaker and one came out narrower. July recorded three results from one vendor on the pricing query, and the re-run found two. July recorded eight of eight self-ranking vendors on the Zendesk query, and the re-run found four of five. Those July numbers are retired and should not be quoted.

The reason they drifted is that the first run wrote down what it concluded instead of what it saw. That is the same failure this post is about, committed by this site, one week earlier. The fix is not to be more careful. It is to keep the lists — and to derive the totals from them, which is how the chart above is built.

Salesforce recommends a company it is buying

Salesforce's best Zendesk alternatives article lists Intercom at number four and its own Agentforce at number five.

Salesforce signed a definitive agreement to acquire Intercom, since renamed Fin, on 15 June 2026, for around $3.6bn. The deal has not closed. So the article is recommending, in the register of neutral advice, a company the publisher is in the middle of buying — and placing its own product below it.

There are innocent explanations. The article may predate the agreement, or be maintained by a team with no involvement in it. That is rather the point: a reader has no way to tell, because nothing on the page mentions any of it.

Google's AI Overview cites one of the two competitors

For Freshdesk vs Zendesk, the AI Overview above the results draws on Freshworks' own comparison page, which is listed in its panel of cited sites and visible in the screenshot above.

This matters more than the ranking underneath it. A reader who scrolls can see that position one is freshworks.com and weigh it accordingly. The overview keeps the conclusion and drops the letterhead, and it is the part of the page most people read.

What this shows, and what it does not

It does not show the vendor pages are wrong. Zendesk's guide to setting up AI support is a competent guide. Several of these companies employ better writers than most trade publications, and their pages are frequently more useful than the independent alternative would have been.

What it shows is that on six questions a buyer would actually type, there was almost nobody in the room without something to sell. No second opinion exists to check the first against. That is a structural fact about the category, and it does not require anyone to have behaved badly to be true.

The figure that moved most between the two runs moved against the argument, and it is in the table above with the others. A count that only reports the runs that agreed with it is not a count.

Run it yourself

Open google.com/search?q=best+Zendesk+alternatives&pws=0 and read down the page asking one question of each result: does the company publishing this sell something in the category? It takes about four minutes per query, and the six search URLs are listed under sources at the foot of this post.

If your list differs from ours, send it. Corrections get made and dated, and there is nothing here to protect — we take no money from any company named on this page.

Cite this

Free to cite and free to reuse. Suggested line: of 47 page-one Google results across six AI customer service buying queries, 35 were published by companies selling software in the category (AI Customer Service, 2026).

This site takes no money from vendors, and nobody can pay to appear on it or to rank higher within it. That is the only reason the count could be published at all.

WRITTEN BY AR · UPDATED 2026-08-05

I read the fine print. Vendor pricing pages, billing definitions, terms, funding filings and acquisition notices — then I do the arithmetic nobody publishes: what a platform actually costs at your volume, what its headline metric is really counting, and who owns it now. I do not run benchmarks, and no page here pretends otherwise.

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