marketingminer.com

Free SEO tools can handle a surprising amount of real work: checking backlinks, auditing on-page elements, tracking keyword positions, and generating reports. For a small site or a beginner, they cover most day-to-day tasks. The catch is not capability but capacity — free tools usually limit how much data you can pull, how often you can pull it, and how precisely you can filter it. Understanding those limits lets you decide what to do for free and when paying becomes the sensible next step.

Mapping Common SEO Tasks to Free Tool Coverage

Most SEO work falls into a handful of recurring jobs. Here is how free tools typically perform on each.

The pattern is consistent: free tools answer "what is roughly true right now" well, and "what exactly changed over time" poorly.

The Practical Limits You Will Hit

Free tools are not crippled versions of paid ones by accident. The limits exist because crawling, storing, and serving link and ranking data is expensive. Expect these constraints:

• Usage caps. A fixed number of queries per day, or a character/word limit on content tools. Once you hit the cap, you wait.
• Sampled data. Backlink checkers often show a subset of links rather than the complete profile. Two tools can report very different totals for the same site, and both can be "correct" within their own index.
• Delayed or cached results. Ranking positions and link counts may be days or weeks old. Nothing free is truly real-time at scale.
• Fewer export and filtering options. You may see results on screen but not be able to download them, sort by multiple columns, or filter out low-quality links.
• No saved history. Without stored snapshots, you cannot see whether a metric improved or declined over the past month.

None of this makes free tools useless. It means you should treat their output as a directional signal, not a precise measurement.

How to Read Backlink Counts and Authority Scores

Two numbers cause the most confusion: backlink count and domain authority-style scores.

Backlink counts vary by index. If one tool says 400 links and another says 1,200, the difference is usually coverage, not error. Use a single tool consistently so your own trend line is comparable, and treat the absolute number as approximate.

Authority scores (often labeled DA, DR, or similar) are third-party estimates, not metrics search engines publish. They compress many signals into one number. That makes them convenient for quick comparison and dangerous as a sole decision criterion. A high score does not guarantee rankings, and a low score does not mean a page cannot rank for a specific query.

A safer habit: look at three things together — referring domains (more meaningful than raw link count), the relevance of linking sites to your topic, and whether your own score is trending up or down over time.

A Simple Free-Tool Workflow for a Small Site

This loop works for a blog, a local business site, or a small store. It assumes you have no budget and limited time.

1. Audit. Run your key pages through an on-page checker. Record the title, meta description, H1, word count, and any missing alt text in a simple spreadsheet.
2. Fix. Correct the obvious issues first: duplicate or missing titles, thin content, broken internal links, slow-loading images. These are the highest-return fixes and cost nothing.
3. Track. Pick 10–20 keywords that matter. Check their positions weekly with a free tracker or manually, and log the date and position.
4. Compare. Once a month, check referring domains and your authority-style score. Note the direction, not the exact figure.
5. Repeat. Re-audit pages that lost positions or gained traffic. Update content rather than adding new pages endlessly.

Keep one spreadsheet with three tabs: pages, keywords, and links. Consistency matters more than tool choice.

When a Task Has Outgrown Free Tools

Consider paying when one of these becomes true:

• You need to track more keywords than the free cap allows, or you need daily updates.
• You must export full backlink lists for outreach or disavow work.
• You are auditing a site with hundreds or thousands of pages and need a complete crawl.
• You need historical data to prove whether a change worked.
• Multiple people need to work in the same tool with shared access.

Until then, free tools plus a disciplined spreadsheet will carry a small site a long way.

Common Pitfalls to Avoid

• Trusting one metric. No single score decides rankings. Combine authority, relevance, and traffic data.
• Expecting real-time rankings. Free trackers lag. Judge trends over weeks, not hours.
• Comparing across tools. Different indexes produce different numbers. Pick one and stay with it.
• Chasing link counts. Ten relevant links from real sites beat a thousand low-quality ones.
• Skipping the fix. Auditing without acting is just collecting data. The value is in the changes you make.

Free SEO tools are genuinely useful for auditing, tracking, and learning. Their limits are about scale and precision, not usefulness. Start with the workflow above, watch your trend lines, and upgrade only when a specific task clearly demands more than the free tier provides.

Marketing Miner's keyword research feature takes a keyword you enter and immediately returns a set of related words, each with its own data — including how many people search for it each month and how that volume develops over time. The stated purpose is to help you find out what shoppers search for and what the trends are, so you can base content and business decisions on real search numbers rather than guesses. It sits inside a broader tool aimed at e-shop and business owners, marketers, SEO specialists and agencies who want to understand what people search for, what works for competitors, and how visible they are in both search and AI.

What you get from a single keyword

The workflow described on the site is deliberately simple: enter a keyword, and instantly see all related words and their data. For each of those related terms, the feature surfaces:

• Monthly search volume — how many people search for that word each month.
• Trend over time — how that search volume develops, so you can tell whether interest is rising, flat, or declining.

That combination is what turns a plain list of suggestions into something you can act on. A high-volume term that is shrinking is a different opportunity from a modest term that is climbing.

Why the trend data matters

Search volume alone tells you the size of a term today. The development data tells you its direction. The site frames the whole feature around finding "what shoppers search for and what the trends are," which suggests the trend signal is meant to be used alongside raw volume — for example, to spot seasonal shifts or emerging demand before it peaks.

How it fits into the wider tool

Keyword research is one of over 40 features in Marketing Miner. The same platform also covers:

The MCP connection is worth noting if you already work inside an AI assistant: once connected, your assistant can draw on Marketing Miner's search data, so keyword decisions can be made where you're already writing and planning. According to the site, it works in ChatGPT, Claude and Claude Code, is included in all paid plans, and requires no technical skills.

What it is useful for

Based on the described outputs, keyword research here supports:

• Content planning — choosing which related terms to build pages or sections around.
• Trend spotting — catching terms whose search volume is changing.
• Competitive context — understanding the search landscape that feeds into the separate AI visibility and competitor comparison features.

Practical starting point

If you want to see the output before committing, the site offers a free trial and a demo. Pricing details are published on its pricing page, so check there for current plan terms rather than assuming any feature tier — the MCP connection, for instance, is stated as included in paid plans specifically.

Marketing Miner measures AI visibility by tracking how AI assistants such as ChatGPT, Gemini, Perplexity, AI Overviews and AI Mode mention you and your competitors, then exposing the underlying data — the fan-out queries those assistants run in the background, the websites they draw on, and the full answers they produce. It is built for e-shop and business owners, marketers, SEO specialists and agencies who want to know how visible they are in AI and search, and what to change. The AI visibility features sit alongside more than 40 SEO features in the same tool, and the MCP connection that feeds this data into ChatGPT or Claude is included in all paid plans.

What Marketing Miner actually measures

The AI visibility module answers a specific question: when an AI assistant responds to a prompt in your category, where do you appear — and where do your competitors appear instead?

The data it returns falls into three groups:

• Fan-out queries — the background searches ChatGPT and Gemini run when composing an answer. These are the queries you would never see from a normal keyword tool, because the user never typed them.
• Source websites — the pages the assistant actually drew on when writing its answer. This shows which domains are being cited in your place.
• Full answers — the complete response text, not just a mention count, so you can judge tone, framing and accuracy.

On top of the raw data, the tool tracks share of mentions and compares it against competitors, and shows how that share changes over time. That time dimension matters: a single snapshot tells you where you stand, but the trend tells you whether your content work is moving anything.

Platform coverage is ChatGPT, Gemini, Perplexity, AI Overviews and AI Mode. ChatGPT ads and their monitoring are also covered.

How the measurement turns into improvement

Measurement alone does not raise visibility. The workflow only becomes useful when the data points at a concrete edit.

A practical loop looks like this:

1. Pick a prompt or topic where you expect to be recommended.
2. Read the fan-out queries the assistant generated. These reveal the sub-questions the model treats as relevant — often more specific than your target keyword.
3. Check the cited sources. If competitors are cited and you are not, those pages show the format and depth the model is rewarding.
4. Compare your mention share over time after publishing changes, rather than judging a single run.
5. Rewrite or add content that answers the fan-out queries directly and is structured so it can be extracted as a source.

For example, if you sell running shoes and ChatGPT recommends three competitor guides but never your sizing page, the fan-out queries might show the model is searching for "wide toe box running shoes" and "running shoe sizing vs brand". Those are the gaps to fill — not the head term you were originally optimising for.

Feeding AI visibility data into your AI assistant

The MCP (Model Context Protocol) connection is the part that changes how you work day to day. Without it, when you draft content in ChatGPT or Claude, the model has no access to your real search data. With it, your assistant can pull in:

• Search data (what people actually search for)
• Data from Google Search Console
• The AI visibility data described above

The stated benefit is that content, optimisation and decisions get built on real numbers instead of the model's guesses. It works in ChatGPT, Claude and Claude Code, requires no technical skills, and comes with a step-by-step guide. According to the site, it is included in all paid plans — so this is a paid-tier capability, not a free one.

Who this fits, and what to check first

Marketing Miner suits teams that already publish content and want to know whether AI assistants are picking it up. The site notes it is used by thousands of users, from the largest brands to sole traders, and that the company has been building the tool since 2015 with a team of ten people.

Before committing, verify two things on the pricing page: which plan tier you need for the AI visibility features you want, and whether the MCP connection (listed as included in all paid plans) covers your specific assistant. If your main goal is traditional rank tracking, the broader 40-plus feature set is the relevant part; if your goal is specifically AI answer visibility, the fan-out queries and cited-source data are the features to evaluate.

Marketing Miner's AI assistant connection (MCP) links your ChatGPT or Claude assistant to real search data inside Marketing Miner, so content and business decisions are built on actual numbers instead of guesses. According to Marketing Miner, the connection works in ChatGPT, Claude and Claude Code, is included in all paid plans, requires no technical skills, and comes with a step-by-step guide. If you only need to look up keywords manually in the Marketing Miner interface, you don't need MCP; it matters when you want your AI assistant to pull search data directly while you work.

What problem MCP solves

When you draft website content or make decisions in ChatGPT or Claude, the assistant usually lacks the data that should inform those choices. Marketing Miner describes the missing pieces as:

• What words people actually search for
• Where competitors are visible and you are not
• Which keywords bring you the most visits

MCP closes that gap by giving the assistant access to Marketing Miner's search data and Google Search Console data, so the output is grounded in real figures rather than assumptions.

What data the assistant can reach

Marketing Miner lists two data sources for the connection:

This is the same data the platform uses for its AI visibility and keyword research features, so the assistant is working from the tool's live dataset rather than a static export.

Where it works

• ChatGPT
• Claude
• Claude Code

Marketing Miner states the connection is included in all paid plans. The pricing page is available at marketingminer.com/en/pricing if you need to confirm which plan you're on before setting it up.

Who it's for

The connection is aimed at the same audience as the rest of the tool: e-shop and business owners, marketers, SEO specialists and agencies. It's most useful if you already work inside an AI assistant for content drafting or planning and want that work informed by search data without switching tools constantly.

How to get started

Marketing Miner says no technical skills are required and provides a step-by-step guide. The practical sequence is:

1. Make sure you're on a paid Marketing Miner plan.
2. Open the AI assistant connection (MCP) section in Marketing Miner and follow the setup guide.
3. Connect your ChatGPT or Claude account as instructed.
4. Test the connection by asking your assistant a question that requires search data, such as which keywords drive the most visits for a given topic.
5. Verify the answer against the same data in the Marketing Miner interface.

The expected result is that your assistant can answer questions about search terms, competitor visibility and top-performing keywords using Marketing Miner's data, and can factor Google Search Console figures into its suggestions.

Common snags to watch for

• Plan access: the feature is tied to paid plans, so a free or trial account may not include it. Check your plan before troubleshooting the connection itself.
• Data scope: the assistant sees Marketing Miner's search data and your Google Search Console data. If Search Console isn't connected to your Marketing Miner account, that portion won't be available.
• Verification: treat assistant answers as a starting point and confirm important figures in the Marketing Miner interface, since the value of MCP is precisely that the underlying data is checkable.

If your goal is simply to research keywords or check AI visibility, the standard Marketing Miner features cover that. MCP is the option to choose when you want those same numbers available inside ChatGPT or Claude while you write and plan.

Marketing Miner's plan and pricing information is published on its official pricing page at https://www.marketingminer.com/en/pricing. That is the only place where current plan tiers and prices are listed, and it is the page to check before deciding whether to buy. The site also offers a free trial and a product demo, so you can evaluate the tool before committing to a paid plan.

What the official pricing page covers

The pricing page is where Marketing Miner lists its plan structure. Based on the site's own materials, the key facts you can confirm there are:

• Plan tiers and prices – the page is the source of truth for what each plan costs and what it includes.
• Paid-plan features – the AI assistant connection (MCP) is stated to be included in all paid plans, so any paid tier should give you access to it.
• Trial and demo entry points – the homepage offers "Try for free" and "Watch demo" options, which let you test the product before paying.

Because prices and plan contents change, treat any number you see outside the official page as potentially outdated.

How to check pricing and pick a plan

1. Open the pricing page. Go to https://www.marketingminer.com/en/pricing directly rather than relying on third-party summaries.
2. Compare the tiers on the same dimensions. Look at price, number of features or credits, seats/users, and whether the MCP connection is included (it should be on every paid plan).
3. Match the tier to your workload. The site positions the tool for e-shop and business owners, marketers, SEO specialists, and agencies. A solo trader and an agency will not need the same limits, so check the usage caps rather than just the headline price.
4. Start with the free trial or demo. Use "Try for free" to test the features you care about — keyword research, AI visibility tracking, or the MCP connection — before upgrading.
5. Confirm billing terms on the page. Payment methods, billing periods, and refund rules are only reliable if stated on the official pricing page; do not assume them from elsewhere.

What you get on a paid plan

The features most relevant to a buying decision, per the site's own description:

The MCP feature is explicitly described as included in all paid plans and as requiring no technical skills, with a step-by-step guide provided.

Common sticking points

• Assuming a free tier exists. The site promotes a free trial, but the MCP connection is tied to paid plans. Do not read "try for free" as "free forever."
• Relying on cached or third-party prices. Only the official pricing page reflects current pricing.
• Ignoring usage limits. Two plans at different prices may differ mainly in volume, not features — check the limits against your actual monthly needs.
• Overlooking the demo. If you are unsure which features matter for your workflow, the demo shows the interface before you pay.

Bottom line

Go to https://www.marketingminer.com/en/pricing for current plans and prices, use the free trial or demo to test the features you need, and confirm that MCP access — included in all paid plans — is part of whichever tier you choose.