We audited 18 SEO and content tool vendors: average AEO Rank 49

The cheapest test of an AI SEO tool: read the vendor's own page the way a crawler does.

The usual comparison of AI SEO tools weighs engine coverage, prompt and citation tracking, integrations and price. It rarely opens the vendor's own website and asks whether an answer engine could quote it. That page costs nothing to inspect. It is also the one piece of work a vendor ships for a client it fully controls: itself.

Kevin Indig, a former director of SEO at Shopify and VP of SEO and content at G2, described the shift in 2025. The average Google search, he said, was "about three to five words"; on ChatGPT, "an average of 30 words." Longer questions favor pages that explain a product in full, and Indig observed that companies gaining from AI traffic were "really good at explaining all the features, how they play together, what's possible and not possible." He added a mechanical caveat. "Most LLM crawlers don't understand JavaScript."

An AI SEO vendor sells precisely that kind of explanation. Its feature pages are the first exhibit. Either they answer a 30-word question in plain HTML, or the answer waits inside a script the crawler never runs.

What are the top tools for AI SEO, and how should you test them?

AEO Content has run 26,577 AI-visibility audits, and the cheapest test of any AI SEO tool sits in plain view: score the vendor's own website first.

Before any demo, I would work through four plain steps:

1. Shortlist tools on the usual criteria: engines covered, prompts tracked, integrations and price.
2. Run each vendor's homepage through a free AEO audit.
3. Read the result as the vendor's own advice, applied to itself.
4. Book demos only with the vendors whose sites hold up.

Conventional wisdom says the comparison ends at step one. Feature grids, engine logos, a price per seat. Those things matter, but they describe what a tool reports. They say nothing about whether its recommendations produce pages that ChatGPT, Perplexity or Google AI Overviews can actually lift a sentence from.

Buyers ask the question in several forms. What are the top tools for AI SEO? Which AEO companies are best? Which services can help a brand rank in ChatGPT? The forms differ. The underlying worry does not: will this vendor's advice make my pages quotable?

The vendor's website is the one output a buyer can inspect without signing anything. Tool comparisons, as a rule, do not open it. Our corpus now holds 11,000+ domains scored across 15 sectors and 28 categories, so a vendor's site need not be judged in isolation; it can be read against its peers. Readers new to the vocabulary can start with our FAQ on AI search optimization.

Bruce Clay, introduced on the Using AI at Work podcast as "widely known as the father of SEO," said in 2025 that Google had announced from conference stages that getting into AI Overviews requires only adding "a couple of things on top of SEO." His own tools, he said at the time, checked each generated article against "a list of about 130 tests." The tests point outward, at the customer's content. Nothing prevents pointing them back.

If Clay is right, a company that sells SEO software should already own most of the couple of things. That is a testable proposition. Read together, these 4 sources point one way: the extra layer AI search asks for is small and specific, and a vendor's own pages either carry it or they do not.

Our team includes a full-stack engineer and content infrastructure architect with 20 years of building enterprise systems. I raise it because the question is an engineering one before it is a marketing one. What does a machine receive when it asks for the page? For any vendor on a shortlist, the homepage answers that question at no cost to anyone.

Can a vendor pass every automated check and still go unquoted?

A clean markup check is not a citation, which is why AEO Content pegs its promise to being named in AI answers within 90 days, not to an audit result.

Google Search Central draws the line itself. In its general structured data guidelines, last updated on July 10, 2026, the Rich Results Test and the URL Inspection tool "catch most technical errors." Quality guidelines, the same page adds, "are not easily testable using an automated tool." Markup that is syntactically correct can still be withheld from rich results, or flagged as spam, when it breaks one of those harder-to-test rules.

The machine checks the grammar. It cannot tell a pitch from an answer, and Dheeraj Sharma, who sells AI research agents, argues that AI assistants are "actively looking for content that covers what vendors won't say."

The guidelines are specific about what truth means here. Structured data must describe content a reader can see on the page; in the guidelines' own words, it "must be a true representation of the page content." Items missing required properties are not eligible at all. And a page blocked from Googlebot by robots.txt, a noindex tag or any other access control never gets as far as the quality question. Some of those conditions a crawler can verify in a second. Others need a person who knows what the page is for.

That split is the friction in the method I am recommending. An AEO Rank is an automated instrument too, and it inherits the same boundary. A weak Rank on a vendor's homepage is strong evidence that something mechanical is broken. A strong one proves competence at structure, and not much beyond it. So read each feature page's opening yourself: Shanika Wickramasinghe's May 2026 explainer advised a clear answer within the first 40 to 60 words, and no markup validator looks for one.

Alex and I bring a combined 40+ years of SEO and content infrastructure experience to AEO, and the guidelines describe an old problem in new clothes. Niko, an SEO of more than 10 years who runs a paid AI-search community, claims good solid SEO is "70% of the work" for AI search and the rest is content structure, so for a vendor that sells SEO, markup was not the missing piece. Being chosen was. The result that settles the matter sits further downstream: one of our case studies went from a quiet site to 10 booked calls in 3 weeks, a number no markup tester reports. Niko's other check needs no tool at all: lift one sentence off a vendor's page and ask whether it "will make sense by itself."

A buyer looking at a vendor's site, then, is asking two questions at once. Can a machine read it? And once read, does it say anything a machine would want to repeat? The first question has a tool. The second depends on what the page was built to contain.

What should a vendor's website show if its advice works?

A vendor whose advice works should have pages where every key answer sits in the raw HTML, under a question heading, backed by schema that matches what readers see.

I learned to distrust brochures early. LiveHelpNow, the customer-service SaaS I founded, was an Inc. 5000 inductee at number 84, 2015-2018, and support software teaches one blunt lesson: a customer judges you by the answer that actually arrives. AI engines behave the same way. They quote what they can retrieve.

A practitioner on Reddit's r/DigitalMarketing forum put it in one line this May: "Google ranks pages and ChatGPT reads them." The same poster reported that key information inside a JavaScript component that loads after the page renders, or inside a dropdown or collapsed section, is never seen by the language model. Another commenter described a teaching trick worth borrowing. Open a competitor's page source in front of the client. Point to where the answer text actually lives in the raw HTML. In that commenter's phrase, ChatGPT "just sees the raw html like a blind person reading braille."

Run that trick on a vendor. It takes about as long as reading this paragraph.

The resolution is less exotic than the vocabulary suggests. A 2025 Simplilearn explainer on AEO and SEO concluded that "you don't need separate websites for SEO and AEO." One piece of content, structured to serve both, was the advice, with schema types such as FAQ, how-to, product and organization helping AI systems extract the answer. Nothing in that list is new. All of it is checkable on a vendor's homepage.

We hold our own product work to the same rule. When we build a knowledge base from a client's code repositories, the writer reads the product as shipped, describes what the user sees on screen with the exact labels, and a deterministic check flags any leaked code and any outside link before publishing. The principle transfers without loss: read the delivered artifact, not the description of it.

So a vendor's site passes when its answers survive a raw-HTML reading. Questions as headings. A direct answer beneath each. Markup that describes what is visible. If your own site would fail that same reading, the fix is structural, and it is the work of a site rebuild for AI search rather than another dashboard. Buyers asking which tools get content into Google AI Overviews, or which companies help brands rank in ChatGPT, are really asking which vendors already pass, and the evidence is sitting in a page source anyone can open.

What should you check before paying for an AI SEO tool?

Ask what tracking each AI engine costs: Ahrefs listed $199 a month per AI index in February 2026. Then price the base plan: Tim Soulo, Ahrefs' CMO, called its own "required for most AI features."

The budgets argue for care. In 2025, Kevin Indig reported traffic down "between 10% and 30%" while pipeline was "often either flat or growing," and leaders were skeptical but "investments are relatively constant." Flat budgets rarely buy whole new platforms. They buy add-ons. He also called product and help documentation "a gap that nobody else will fill for you."

For an AI SEO vendor, that gap is its own feature pages, written with no client brief and no excuse. I expect the vendors who answer long questions about their own product in plain HTML to be the ones whose advice holds up on other people's sites. The rest will go on selling reports about a problem they have not solved at home. If the answer to a vendor's own pricing question sits behind a toggle, that is the first finding of the audit, and it cost nothing.