Generative Engine Optimization Tools
These are the generative engine optimization tools worth using. What each one can tell you, what it cannot, and the one thing everybody sells that two studies say does nothing.
What a GEO tool can actually tell you
There are only two numbers worth tracking, and most tools blur them together. Whether the model names your brand in the answer, and whether it cites your domain in the sources.
They are different lists and they move for different reasons. A tool that reports one blended visibility score is hiding the finding.
So the test for any tool is one question. Can it show you mentions and citations separately?
Tools that track mentions and citations
Ahrefs Brand Radar tracks how often a brand shows up in AI answers, and separately which domains get cited. It ties back to the rest of Ahrefs, which matters because your organic rank is a leading indicator of citations.
The DataForSEO AI Optimization API runs your prompts against the models and returns the answers and mention data as structured records. It is an API, not a dashboard, so if you do not want to write code it is not your tool.
The models themselves are free and better than people expect. Open ChatGPT, Claude, Perplexity and Gemini from a logged-out session, ask the five questions your buyers ask, and write down what you see.
Google Search Console will not show you AI answers. It shows you the rank that drives the citations, which is the input.
How to use these together
The tools above measure. The workflow below turns measurements into a plan.
Not every prompt triggers a search. Stable factual questions get answered from training data and are unreachable via SEO, so classify prompts by whether they trigger retrieval before allocating any effort.
- Start from a topic, not a keyword list. LLM prompts are longer and conversational, and a head-term list does not cover how people talk to a model.
- Define personas. Persona plus topic generates the questions a real person in that role would ask.
- Enrich with follow-ups. People Also Ask data models question proximity, which predicts where a conversation branches next.
- Run prompts and harvest the hidden searches. When a prompt triggers retrieval the model issues conventional web searches behind the scenes, exposed as webSearchQueries in Gemini's groundingMetadata and as web_search_call output in the OpenAI Responses API.
- Gap-analyse. Which fan-out queries do you have content for, which do you rank for, and which have zero coverage anywhere? The third bucket is the action list, and some gaps are filled faster through a placement on someone else's site.
The tool everybody sells that does not work
An llms.txt file is pitched as the AI-era robots.txt. Two independent studies went looking for the effect.
SE Ranking sampled around 300,000 domains and found that having the file did not make a domain more likely to be cited. ALLMO came at it from the citation side, with 94,614 cited URLs across 11,867 AI answers from five models, and found one citation pointing at an llms.txt page.
Two unrelated datasets, two methods, same answer. If a tool's main promise is generating this file for you, that is the whole product.
What no tool does for you
Every tool on this page measures. None of them move the number.
Recommendation is driven by what the rest of the web says about your brand. That is coverage, links and a first-page rank, and no dashboard produces those.
That is the honest limit. Buy a tool to see the problem, not to fix it.
Where this page's claims come from
- Lily Ray, on citation and recommendation being decoupled
- Lily Ray, BuzzStream podcast with Vince Nero, 18 June 2026
- Edward Sturm, on LLMs sourcing from search engines
- SE Ranking, LLMs.txt: Why Brands Rely On It and Why It Doesn't Work, Yulia Deda, 7 Nov 2025
- ALLMO, LLMs.txt for AI Search Report 2026, 23 Jan 2026
- Mark Williams-Cook, ChatGPT Is Secretly Googling Things, May 2026
Shane Hellmrich
I designed the methodology and I review every client's strategy myself. Twelve years in YMYL search, twenty-five years around health, and a habit of reading the FDA list before writing a headline.
Questions I get asked first
What is the cheapest way to start?
Ask the models yourself and keep a spreadsheet. It costs nothing and it is the same two numbers a paid tool reports.
Do I need a GEO tool if I already have Ahrefs or Semrush?
Probably not yet. Check what your existing subscription already covers before adding another bill.
Are AI visibility scores comparable between tools?
No. Every vendor blends the inputs differently, so track one tool over time instead of comparing two at a point in time.
Should I add an llms.txt file anyway?
You can, because it is a few minutes of work and it does no harm. Just do not count it as a strategy, and do not pay anyone for it.
Should I track branded and non-branded mentions separately?
Yes. If a model names you because the user typed your brand, that is not the same as naming you from a category question, and unsegmented tracking overcounts.
See what search could be sending you.
Five checks a week, three business days, one honest recommendation. No card, no pitch deck.
Nothing on this site is medical advice. Rankings and leads are not guaranteed. The work is.