Generative engine optimization (GEO) tools show how AI assistants such as ChatGPT, Claude, Gemini and Perplexity answer the questions your customers ask: whether your brand is named, which sources get cited, and how often people ask AI about a topic in the first place. The useful ones hand you the raw answers and citations, not only a score. The SEO MCP’s 8 AI Visibility tools return those answers and sources inside your AI chat, next to SERP, keyword and page audit tools on one credit balance, starting with 1,000 free credits once you verify your email.
Last updated: November 2026
My bet on where GEO tools are heading
Here’s my bet, and it’s only a bet. The GEO tools worth paying for won’t be the ones with the most impressive visibility chart. They’ll be the ones that sit right next to your ordinary SEO data.
The reason is simple. Every GEO finding ends in an ordinary SEO task. A competitor gets cited instead of you, so you look at the cited page. An assistant describes your service wrong, so you check what your own pages say. A topic gets asked about a lot, so you write the page that answers it. If your GEO tool can’t take you from “we’re missing” to “here’s the page to fix” in the same place, you’ll be copying data between tools forever.
So before comparing vendors, it helps to know what the work actually is.
The three jobs a GEO tool can do
Demand. How often do people ask AI tools about this topic? Without it, you can spend weeks chasing a question nobody asks.
Presence. When someone asks, does the answer name you? Which sources does it cite? Who’s named instead?
Cause. What do the cited pages contain that yours doesn’t, and what does Google show for the same query?
Presence gets most of the attention. The first and third jobs are where the decisions get made.
What The SEO MCP returns for each job
The AI Visibility category on our tools page has 8 tools. At Growth Engine rates:
| Tool | What it returns | Credits |
|---|---|---|
ai_keyword_data_search_volume |
AI search volume for keywords (ChatGPT, Gemini, Perplexity), with a 12-month trend | 29 per 100 keywords |
llm_responses_chatgpt |
ChatGPT’s answer to a prompt | 18 |
llm_responses_claude |
Claude’s answer to a prompt | 18 |
llm_responses_gemini |
Gemini’s answer to a prompt | 17 |
llm_responses_perplexity |
Perplexity’s answer, with cited sources | 12 |
llm_scraper_chatgpt |
ChatGPT search results for a keyword, with cited sources and brand mentions | 6 |
llm_mentions_search |
Keyword or domain mentions across LLM answers (access on request) | 288 per 100 results |
llm_mentions_aggregated |
Aggregated LLM mention metrics (access on request) | 158 |
The first one covers demand. The middle five cover presence. The last two are on request only, so plan around the first six.
For cause, you reach outside the category. The on_page_content_parsing tool (44 credits) breaks down a cited page’s structure so you can compare it with yours, and our AI SEO audit tool post walks through a full page check. Google organic results (serp_google_organic, 8 credits for the first 10 results) include AI Overviews when Google has one cached for the query. That means a missing Overview in a check doesn’t prove searchers never see one, so treat it as “not seen this time”.
You don’t call any of this by name. You’d type something like: “For ‘bookkeeping for bakeries’, check AI search volume, ask ChatGPT, Claude, Gemini and Perplexity who they recommend, list every cited source, then parse the top cited page and tell me what it covers that my page doesn’t.”
Six questions to ask any GEO tool before you pay
Whatever you’re evaluating, ours included:
- Which assistants does it actually query? “AI visibility” can mean one assistant or several. Ask for the list.
- Can you see the raw answers? A single visibility number is easy to put on a slide and hard to act on. If a tool sells a score, ask which prompts, how many runs and which assistants it’s built from.
- Does it repeat runs? The same prompt can name different brands on different runs, so one sample per prompt is a coin flip dressed up as data.
- Does it show cited sources? Sources are the part you can act on, because they’re pages you can study, earn a place on or answer better.
- Does it measure demand? A tool that only tells you whether you’re named can’t tell you whether the question matters.
- Who runs the checks, and when? Some trackers run on a schedule. With The SEO MCP, every check is a live call that runs when you ask, and you keep the record.
That last point is the honest trade-off with our setup. There’s no scheduler and no results dashboard. Results land in your chat, so seeing change over time means saving each round and asking your assistant what moved. Our LLM visibility tracking guide covers how to run that routine. If you want something that runs unattended, look at dedicated trackers and check how each one runs its checks. Local Falcon, for one, lists AI visibility tracking alongside its local rank grids.
What a first round costs
A starter round for ten customer questions, at Growth Engine rates:
- Demand check for up to 100 candidate keywords: 29 credits
- Ten questions across all four assistants, one run each: 650 credits (65 per question)
- Google organic results for the same ten keywords: 80 credits
- Parsing the three most-cited pages: 132 credits
That’s 891 credits at Growth Engine rates. Local Dominator, the $99 plan, uses fewer credits per call than those figures, and its 50,000 monthly credits cover dozens of rounds like this one. Paid plans are monthly subscriptions, and credits reset monthly without rolling over.
If budget is your main question, our affordable SEO tools for small business post prices a full local month. And the same rule about numbers applies outside GEO: our AI keyword research tool post shows how to check that a figure came from a lookup, not a guess.
One limit no GEO tool gets around: none can tell you exactly why a model chose one brand over another. You can see what it said and what it cited. The reasons stay inside the model.
Frequently asked questions
What are generative engine optimization tools?
They’re tools that show how AI assistants answer the questions your customers ask: whether your brand is named, which sources are cited, and how often people ask AI about a topic. The SEO MCP’s AI Visibility tools return answers from ChatGPT, Claude, Gemini and Perplexity, ChatGPT search results with cited sources, and AI search volume, inside your AI chat.
How is generative engine optimization different from SEO?
SEO aims at rankings in search results. GEO aims at the answers AI assistants write. They overlap more than the names suggest: a cited source is still a web page, and improving it is mostly ordinary SEO work. That’s why it helps to check AI answers in the same place as your SERP, keyword and page data.
Does The SEO MCP track AI visibility automatically?
No. Every check is a live call that runs when you ask and returns the answer at that moment. Nothing in the catalog runs on a schedule. To see change over time, save each round of results and ask your assistant to compare them with the last one. Two tools that count mentions across many LLM answers are available on request.
Which AI assistants can The SEO MCP check?
Its tools return answers to a prompt from ChatGPT, Claude, Gemini and Perplexity, and Perplexity’s answer includes its cited sources. A separate tool returns ChatGPT search results for a keyword with cited sources and brand mentions. Another estimates how often people ask ChatGPT, Gemini and Perplexity about a keyword, with a 12-month trend.