GetXEO vs Semrush AI Toolkit

The Semrush AI Toolkit is the easiest AI visibility product to start using, because most search teams are already paying Semrush for something else. It tracks prompts daily, reports sentiment, and its site audit checks whether AI bots can reach your pages. Two things are worth knowing before assuming it is already covered. The entry plan carries no AI features at all, and the capabilities that would complete the chain are sold as separate toolkits.

Arjun Shenoy

Co-Founder and CPO at GetXEO

Evaluates AI visibility tooling as part of the product role, and has run this category comparison across ten platforms.

31 August 2026 · 11 min read · 2,484 words · 10 cited sources

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The bottom two rows are strong and the page says so early. Semrush publishes a prompt database in the hundreds of millions, and it audits whether AI bots can reach your pages from inside the same product that reports the number. The disagreement is in the middle three rows, and in what a buyer actually has to purchase to get them.

Semrush describes the toolkit as tracking how a brand and its competitors appear in generative AI search results, analyzing prompts, mentions and citations. It reports through a visibility overview, a brand performance view, competitor research, prompt tracking, and an AI cited media view naming which outlets models quote most. That last one is an offsite surface, and GetXEO publishes no equivalent.

Cadence is published and varies by report. Prompt tracking updates daily, brand performance weekly, and the visibility overview monthly. What a plan actually buys is the custom prompt allowance. That runs fifty on the first plan carrying AI features, one hundred on the next and two hundred on the top self serve plan.

Sentiment is a real surface rather than a checkbox. Semrush analyzes how models describe a brand and returns a prioritized action list. That list covers channel opportunities, messaging gaps and product positioning. Behind it sits a database Semrush puts at more than three hundred and seventeen million AI prompts.

Delivery is handled by a product that predates all of this. The site audit checks accessibility for every major AI bot crawler and reports what to fix so content can be cited.

GetXEO reads the brand first. It crawls the domain, classifies every URL, and builds a profile every downstream writer reads. It then derives the question universe and curates twenty five queries per pillar, each mapped back to the keyword or question it came from.

Those queries produce one composite score. The dashboard carries AEO, GEO and SEO sub scores, model citation rates and the change since the last scan. AEO polls answer engines, GEO covers AI summarized search and weights paragraph position, and SEO tracks the classic result page alongside AI Overviews.

Output is a mesh rather than a list. Blogs are produced as one connected set, the visualizer maps that mesh beside keyword clusters and competitor networks, and the calendar sequences refreshes, technical fixes and new posts across twelve weeks. Every block is written to survive being lifted away from its page.

The audit is written for retrieval. The GEO audit checks entity declarations, Organization schema, semantic HTML and knowledge graph signals. Three audits roll into one score with a page by page heat map, and the fixes arrive as a list a developer can work through.

The common assumption here is that a team already paying Semrush already has the AI product. Often it does not. The plan comparison is explicit about it.

The entry SEO plan lists no AI visibility features at all. There is no custom prompt tracking, no visibility overview, no share of voice and no sentiment analysis. That plan runs one hundred and thirty nine dollars a month, or about one hundred and seventeen billed annually. The AI layer starts on the next plan up at one hundred and ninety nine, and scales with price from there. It can also be bought on its own for ninety nine dollars a month. That is the cheapest route in, at twenty five prompts and with no trial. Semrush adds that each further domain in the brand performance report needs its own subscription at the same price. So that route suits one brand rather than a portfolio.

The second assumption is that one subscription covers the work. Reporting and the site audit do arrive together. Grading a draft and writing one do not: the Content Toolkit carries both the AI Search Optimizer and the article generator, at sixty dollars a month with five boosted articles included.

None of that makes the product worse. It makes the comparison a question about what you are assembling and who assembles it, which is the honest shape of this decision.

• Measurement scale and geography. More than three hundred and seventeen million AI prompts and forty two geographic prompt databases, across sixty eight thousand location and language pairs. That covers markets GetXEO does not sell into at all
• It audits the crawl path from inside the reporting product. The site audit checks accessibility for every major AI bot crawler and says what to fix. Plain site audit comes with every paid plan and the AI checks arrive with the toolkit, so the crawl path and the visibility number sit in one subscription
• Sentiment with something to do about it. A prioritized action list covering channel opportunities, messaging gaps and product positioning, rather than a number describing how models talk about the brand and stopping there
• It arrives where the team already works. Visibility, brand performance, competitor research and prompt tracking sit beside the rank tracking a search team already runs. The AI number lands next to the ranking number, in one place

Content generation exists in the suite too, in a separate toolkit, which is more than several products in this comparison publish anywhere.

• The whole chain in one place. Question set, mesh design, extraction craft, technical audit and measurement together, including the pages themselves rather than a second purchase for the writing
• One composite across three layers. AEO, GEO and SEO roll into a single figure with model citation rates and the change since the last scan, rather than an AI tab beside a ranking tab
• Questions without a prompt budget. A hundred and fifty tracked questions per workspace derived from modeling how a buyer researches, against an allowance that starts at twenty five and reaches two hundred at the top self serve plan
• Output that connects. Fifty blogs a month produced as one designed set on a sequenced calendar, so authority accumulates across the group instead of being won again at every URL

Three limits are worth knowing before committing. GetXEO lists at one thousand dollars a month, shown at five hundred behind a fifty percent discount, it publishes no backlink or keyword research depth of the kind a suite carries, and it publishes no reporting connector or API.

Not measurement, and not crawlability. Semrush is ahead on both and we have said so twice. The edge is the middle of the chain.

The questions. A custom prompt allowance is a budget, and twenty five to two hundred is a tight one for a brand with a wide category. GetXEO derives the question universe by modeling how a buyer behaves while researching, which is meant to surface the situations people describe to an engine rather than the phrases they type. That is a design judgment on our side, and we label it as one. What is measured is the scale of the shift: most B2B buyers now use AI somewhere in the buying process and more than half use it to compare vendors.

The structure. Semrush does plan which pages to create: its prompt research is keyword research for AI, with topic level volume, difficulty and intent. What it does not publish is how that set should be sequenced. A mesh compounds because the relationship is written into the drafts, and a topic list does not supply that.

The craft, and who assembles it. Semrush can generate content, in another toolkit, on another line of the invoice. Research on citation factors finds that pages carrying figures, quotes and citations get named noticeably more often, though the same work ranks off site brand signals ahead of on page craft. Craft is one lever rather than the lever, and the question here is whether one system applies it to every block or a person moves findings between three tools by hand.

What a crawlability check does not answer. Each AI operator crawls under its own user agent and OpenAI documents that a robots change is picked up in about a day, so access is a fast fix once seen. Whether the page then declares its entities, carries Organization markup and renders without a script is a different question, and it is the one the GEO audit is written for.

GetXEO fits a marketing team that needs the pages built rather than the gap named, and that would rather buy one system than assemble three. It lists at one thousand dollars a month, currently shown at five hundred with a fifty percent discount. Semrush fits a team already paying above its entry plan, one reporting across many markets, or one whose real question is how models describe the brand rather than whether they mention it. Check which plan you are on before assuming the AI features are there.

All were published or last updated within the past twelve months. A competitor page appears only as a record of that vendor’s own published terms.

1. Machine Relations, AI search citation factors research
2. Machine Relations, how B2B buyers research vendors with AI
3. OpenAI, the crawler and user agent documentation
4. Cloudflare, the AI crawler bot reference naming each operator, category and user agent
5. Semrush, the published AI SEO Toolkit overview and FAQ, read 28 August 2026
6. Semrush, the published AI visibility solution page and FAQ, read 28 August 2026
7. Semrush, the published AI visibility feature list, read 28 August 2026
8. Semrush, the published pricing page and plan comparison, read 28 August 2026
9. Semrush, the published AI sentiment analysis page, read 28 August 2026
10. Semrush, the published Content Toolkit page, read 28 August 2026

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