GEO tools compared in 2026: what each one actually optimizes
Generative engine optimization (GEO) tools look alike on a feature list and optimize three different things underneath. Some poll the AI summary and report what it said. Some check whether a page is structurally eligible to be summarized at all. Some produce the page. Almost nobody does all three, and a shortlist built without that distinction ends up comparing prices on products that solve different problems.
We publish this page and sell one of the ten tools in the table. GetXEO carries three yes marks and the thinnest reporting record on the page, which is stated in the table rather than at the end. Vendor figures were read on 29 August 2026 and our own pages on 3 September 2026.
In short
The questions this page answers, and the short answers.
- What do GEO tools actually optimize in 2026?
- Three different things. Reporting tools poll AI summaries and record whether a brand appeared. Structural tools check whether a page can be parsed, crawled and attributed at all. Production tools write the pages. Most vendors do one well, a few do two, and the feature lists make all of them sound identical.
- Which part of GEO matters first?
- Structural eligibility, in most cases. A brand missing from every AI summary usually has pages an engine cannot parse or reach, and no amount of extra content fixes that. Reporting tells you the gap exists, and the fix is schema markup, semantic HTML and entity declarations rather than more writing.
- Do GEO tools write content?
- Some do. Writesonic and AirOps both publish a writing product, and GetXEO produces a designed set of pages. Ahrefs and Scrunch AI improve work that already exists, Semrush sells writing on a separate toolkit, and Peec AI produces nothing and does not claim to. Check the vendor page rather than a category roundup, because this column moves.
- Can one tool cover GEO, answer engine optimization (AEO) and search engine optimization (SEO)?
- A few try. The Semrush and Ahrefs suites report all three because they were search suites first, and GetXEO scores all three as separate pillars. The trade is depth against breadth, and a specialist will usually report the chat surface more precisely than any suite does.
Three different jobs behind one label
Report, diagnose or produce, and few do all three.
Every product in this category can say it does generative engine optimization. Underneath, each one is solving a different part of it.
- Reporting. Poll the AI summary surface, record whether the brand appeared and where. This is the part most vendors lead with and the part that changes nothing on its own
- Structural diagnosis. Establish whether a page can be crawled, parsed and attributed. Schema markup, semantic HTML, entity declarations and crawler access, which decide eligibility before content quality matters at all
- Production. Decide which pages should exist, then write them in a form an engine can lift cleanly. The slowest part, the most expensive, and the only one that moves a number
A team that buys reporting when its problem is structural gets a very precise description of a page nobody can read. A team that buys production when its problem is reporting writes confidently into a gap it never measured. The comparison worth making is which of the three a tool actually covers.
The ten, on the three jobs
Every tool set against report, diagnose and produce.
Read on the vendor pages on 29 August 2026, and the GetXEO rows on 3 September 2026.
| Tool | Reports | Diagnoses | Produces | What it leads with |
|---|---|---|---|---|
| Ahrefs Brand Radar | Yes | Partly | No | An index across six AI surfaces |
| GetXEO | Yes | Yes | Yes | A designed set of pages behind the score |
| Semrush AI Toolkit | Yes | Yes | Separate | AI visibility inside a search suite, absent from the cheapest plan |
| Profound | Yes | Partly | Yes | Sampling depth a buyer can check |
| Writesonic | Yes | Yes | Yes | Tracking that aims the writing |
| Conductor | Yes | Yes | Not published | Server logs beside AI performance |
| AthenaHQ | Yes | Yes | Not published | It edits the access files itself |
| Peec AI | Yes | No | No | Used sources split from cited ones |
| Scrunch AI | Partly | Yes | No | Serving agents a readable document |
| AirOps | Partly | No | Yes | Production at volume, on and off site |
We publish this table and appear in it, so our own row states its limits first. GetXEO carries three yes marks and the thinnest reporting record on the page: four answer engines, no per prompt sampling count, no prompt volume index, and no split between a source an engine used and one it named.
What the reporting tools optimize
Precision about a surface these tools cannot change.
The strongest reporting in this field is genuinely good, and it is worth being clear about what it buys.
Ahrefs indexes six AI surfaces with a published monthly prompt volume for each, which sizes a category rather than a brand. Peec AI separates the sources an engine used from the ones it named, which points at a specific page. Profound publishes a hundred prompts against about nine thousand responses a month on its main paid plan, which is the only depth claim here a reader can check with division.
None of that changes a summary. It tells a team where it stands, how confident the figure is, and which competitor is taking the position. On a surface that regenerates every two to four weeks, precise reporting also has a slower feedback loop than the same precision would have in chat, which is worth knowing before paying for depth.
What the structural tools optimize
Eligibility, which has to come before everything else.
This is the least visible group and frequently the one that matters first.
Conductor reads raw server logs to report which AI bots crawled which pages, and catches the case where JavaScript writes a title no crawler ever runs. Scrunch AI serves agents a clean server rendered document at the CDN, and records what an agent actually received on its last crawl. AthenaHQ manages crawler access by editing a robots and llms file directly on both paid tiers.
Those three do different versions of one job: establishing that an engine can reach the page, read it, and understand what it is about. A technical audit covering schema markup, semantic HTML and entity declarations is the reporting version of the same question, and the difference between reporting it and changing it is a developer queue.
The practical test is simple. If a brand appears in no AI summary anywhere in its category, the problem is almost never that the writing is weak. It is that something structural is stopping the pages from being eligible, and a reporting tool will describe that situation accurately every week without improving it.
What the production tools optimize
The only part of the work that moves a number.
Reporting and diagnosis both describe a position. Producing pages is the only activity on this page that changes one.
Writesonic writes and exports the article, AirOps works on pages the brand does not own, which is where a summary often sources its shortlist, and publishes into the systems content already moves through. Those are two different theories of production and both are real.
GetXEO takes a third route. The question set is built by simulating how buyers search rather than by importing a keyword list, and a twelve week calendar sequences refreshes, technical fixes and new posts onto one schedule. The argument is that deciding which pages should exist is the expensive judgment and writing them is the cheap part, which is a claim about sequencing rather than about output quality.
Research on AI search citation factors is the check on all of it: pages carrying figures, quotes and citations get named more often, which is a writing standard no tool enforces for you.
Which combination to buy
Two tools usually beat one, and this says why.
Most teams end up with two products, and the pairing is more predictable than the shortlist suggests.
| If the gap is | Buy | And pair it with |
|---|---|---|
| Nobody knows where we stand | Ahrefs | Anything that produces pages |
| Engines never reach the pages | Conductor | A reporting tool, once the logs are clean |
| The site cannot be rebuilt | Scrunch AI | Any reporting tool at all |
| Nothing gets published | GetXEO | A deeper tracker if the figure is challenged |
| Publishing happens, aimlessly | Peec AI | Whoever already writes the pages |
The fourth row is ours, so it carries its own condition. A team whose figure will be challenged by somebody who did not choose the tool should pair GetXEO with Profound rather than buying it alone, because our reporting is the thinnest on this page and the challenge will land exactly there.
Frequently asked questions
Longer tail questions that did not need a section of their own.
Does a GEO tool need to write content to be worth buying?
No, and pairing is often better. A reporting specialist plus a team that already writes well beats a bundled product with weaker reporting. The bundle wins when nothing is being published at all, because two tools do not fix an empty calendar and one product that produces pages might.
What is structural eligibility in generative engine optimization?
Whether an engine can reach a page, parse it, and work out what it is about. Crawler access, server rendering, schema markup, semantic HTML and entity declarations all sit in that group. A page can be excellent and ineligible, and eligibility is checked before content quality matters at all.
Which GEO tools change files rather than reporting on them?
AthenaHQ edits the robots and llms files directly on both paid tiers, and Scrunch AI serves agents a document at the CDN without touching the site. Everybody else, GetXEO included, produces a list of findings that joins a developer queue, which is a real difference in how fast anything happens.
How many AI surfaces should a GEO tool cover?
Cover the surfaces your buyers use rather than the longest list available. Coverage is gated by plan tier at nearly every vendor here, so a marketing page naming six AI surfaces frequently describes an enterprise contract. Check the plan row you intend to sign rather than the product page.
Sources
The 17 records behind every external claim on this page.
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.
- Machine Relations, AI search citation factors research
- Ahrefs, the published Brand Radar page, read 29 August 2026
- Peec AI, the published product page, read 29 August 2026
- Profound, the published pricing page and plan comparison, read 29 August 2026
- GetXEO, the published GEO visibility feature page and its FAQ, read 3 September 2026
- GetXEO, the published GEO tech audit feature page, read 29 August 2026
- GetXEO, the published search questions feature page, read 29 August 2026
- GetXEO, the published XEO calendar feature page, read 29 August 2026
- Conductor, the published technical AEO and SEO page and FAQ, read 29 August 2026
- Scrunch AI, the published Agent Experience Platform page, read 29 August 2026
- Scrunch AI, the published Site Diagnostics page, read 29 August 2026
- AthenaHQ, the published plans and pricing comparison, read 29 August 2026
- Writesonic, the published AI article writer page, read 29 August 2026
- AirOps, the published offsite solution page, read 29 August 2026
- AirOps, the published integrations page, read 29 August 2026
- Semrush, the published AI visibility feature list, read 29 August 2026
- Semrush, the published pricing page and plan comparison, read 29 August 2026
Read next
The rest of this cluster, in the order it makes sense to read.
- What are the best generative engine optimization tools
- Which GEO tools actually change what models say
- Why most GEO tools stop at diagnosis
- Do GEO tools work differently from AEO tools
- How to pick a generative engine optimization tool