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If you're new to Ahrefs and want to run your first SEO audit, the fastest path is: open Site Explorer, enter your target URL, review the Overview for a health snapshot, then dig into Organic Keywords, Top Pages, and Site Audit to find specific problems. From there, build a short prioritized to-do list instead of trying to fix everything at once.

This tutorial walks through that workflow using a realistic starting scenario, explains what the numbers mean, and shows how to turn findings into actions.

Before You Start: Pick a Narrow Scope

A common beginner mistake is auditing an entire large website on day one. The reports become overwhelming, and you can't tell which issues matter.

Instead, choose one of these starting points:

• A single important page (your homepage or a key product/service page)
• A small site (under ~50 pages, e.g., a personal blog or small business site)
• One section of a bigger site (e.g., /blog/)

For this tutorial, assume you're auditing a small business site with about 30 pages. The same steps scale up later.

You'll need an Ahrefs account to follow along. Ahrefs offers paid plans, and pricing and feature limits change over time, so check the current Pricing page for what's included in each tier before committing.

Step 1: Enter Your Target in Site Explorer

Site Explorer is Ahrefs' core tool for analyzing any website or URL.

1. Open Site Explorer from the top navigation.
2. In the search box, paste your domain (e.g., example.com).
3. Choose the Exact URL or Domain mode depending on scope. For a full-site view, use Domain or Prefix; for a single page, use Exact URL.
4. Press Enter.

You'll land on the Overview report. Don't try to absorb everything — focus on four numbers first.

Reading the Overview Snapshot

Important caveat: Ahrefs' traffic and keyword numbers are estimates based on its own data. They won't match Google Search Console or your analytics exactly. Treat them as directional, not absolute.

Step 2: See What You Already Rank For

Go to Organic Keywords in the left sidebar. This shows queries where your site appears in search results.

Sort by Traffic (descending) to see which pages bring the most estimated visitors. Then look for:

• Keywords ranking in positions 4–15 — these are often the easiest wins. A small content or on-page improvement can push them onto page one.
• Keywords with high volume but low position — potential opportunities if the topic is relevant.
• Irrelevant keywords — if you rank for something off-topic, it may signal thin or mismatched content.

Write down 5–10 of the position 4–15 keywords. These become your first optimization targets.

Step 3: Find Your Best and Weakest Pages

Open Top Pages. This ranks your URLs by estimated organic traffic.

Look for two things:

1. Your top performers — understand what topics and formats work. Can you create more content like this?
2. Pages with traffic but poor rankings — these may need on-page fixes (title, headings, internal links).

If a page gets zero traffic and targets a topic you care about, it's a candidate for a rewrite or consolidation.

Step 4: Run a Technical Site Audit

Now move to Site Audit. This crawls your site and flags technical and on-page issues.

1. Click Site Audit → New project.
2. Enter your domain and set crawl settings (default is usually fine for a small site).
3. Start the crawl and wait for it to finish.

Once complete, you'll see a Health Score and a list of issues grouped by category.

Which Issues to Fix First

Not all issues are equal. Prioritize in this order:

Ignore low-impact warnings (like minor meta description length) until the big items are handled.

Step 5: Turn Findings Into a To-Do List

You now have raw data. Convert it into a short, actionable list. Example:

1. Fix 3 broken links found in Site Audit.
2. Rewrite title tags on 5 pages with duplicate titles.
3. Improve 4 pages ranking in positions 6–12 by adding missing subtopics and internal links.
4. Remove or update 2 thin pages with no traffic.

Keep the list to 5–10 items max for your first audit. Finishing a short list beats starting a long one.

Common Beginner Mistakes

• Chasing every red flag. Site Audit flags many minor issues. Fix what affects rankings and users first.
• Trusting estimates as exact numbers. Ahrefs data is modeled, not measured from your analytics.
• Auditing a huge site too early. Start small to learn the interface.
• Ignoring search intent. A page can be technically perfect but still fail if it doesn't match what searchers want.
• Forgetting to re-crawl. After fixes, run Site Audit again to confirm improvements.

Where to Go Next

Once your first audit is done:

• Compare with competitors using Site Explorer's Competing Domains and Content Gap reports.
• Track keyword rankings over time with Rank Tracker.
• Explore backlink opportunities in the Backlinks and Link Intersect reports.
• Set up recurring Site Audit crawls so new issues surface automatically.

Your first audit isn't about perfection — it's about building a repeatable habit: enter a target, read the key reports, pick the highest-impact fixes, and act. Do that once a month and your site's health compounds.

Q is designed so that your workspace data is not stored or learned by the app, and chats are not used to train OpenAI's AI model, according to the site. When you mention @Q, it reads the content of that thread to understand the conversation; the FAQ says it does not read content outside the relevant thread. These are the conditions to check before using it at work: the no-training and no-storage claims come from the vendor's own description, and thread reading is limited to the conversation where Q is mentioned.

What Q says about data handling

The homepage states three things that matter for a workplace privacy review:

• No storage or learning by Q: "Q won't store or learn your data."
• No training of OpenAI's model: Unlike the browser version, "You can chat as usual without being trained by OpenAI's AI model."
• Thread-scoped reading: When Q is mentioned, it reads the thread to understand the conversation naturally. The FAQ says it does not read content outside that thread.

These are vendor statements, not independently verified audits. Treat them as the starting point for your own review rather than a guarantee.

What Q actually reads

Understanding the reading scope is the practical part of the privacy question.

The on-demand reading is the feature that distinguishes Q from browser ChatGPT: it can read URLs and files you attach, including some that require authentication, such as Google Workspace apps. That means the data you deliberately hand over is broader than the thread itself — so decide what you attach with the same care you would use for any external tool.

Why the thread-reading behavior matters

Thread reading is what makes Q useful in shared channels: it can follow the back-and-forth and answer in context instead of asking you to restate everything. The trade-off is that anything already posted in that thread becomes part of what Q processes when you invoke it.

A concrete example: a team thread contains a draft pricing table and a customer's name. If someone mentions @Q in that thread to ask for a summary, Q reads the thread — including those details — to answer. The FAQ's limit is that it stops at the thread boundary; it does not pull in other channels or unrelated conversations.

Practical implication: before mentioning @Q, scan the thread for anything that should not go into a third-party AI tool. If sensitive material is already there, start a fresh thread or DM instead.

How to verify before rolling it out

1. Read the vendor's own pages. The homepage and its FAQ are the source for the no-storage and no-training statements; confirm they still match what you were told.
2. Check your Slack app approval. The site describes Q as an officially approved Slack app powered by OpenAI. Your workspace admin controls whether it can be installed and in which channels.
3. Run a small pilot. Install Q, use it in one low-risk channel for the 14-day free trial (no credit card required, per the site), and observe what it reads and how answers reference thread content.
4. Set expectations with the team. Because thread content is read when Q is mentioned, tell people which channels are appropriate for @Q and which are not.

Limits of these claims

The site does not publish a detailed data-retention policy, a security certification, or an independent audit on the pages reviewed here. "Won't store or learn your data" is the vendor's wording; how long data persists in transit or in logs is not specified. For regulated data — health, legal, financial — get written confirmation from the vendor or your admin before use, and check whether your organization's Slack and AI policies permit it at all.

If your main concern is whether Q trains on your conversations, the site's answer is no. If your concern is what Q sees when invoked, the answer is: the thread you mention it in, plus any URL or file you attach.

Q can read both URLs and files that you attach to your message in Slack. Supported URLs include general web pages, arXiv papers, YouTube, Google Slides, Google Docs, Google Sheets, and Notion; supported files include audio, video, PDF, image, Excel, PPT, Word, text, CSV, and code. Some URLs — notably Google Workspace apps — require your authentication before Q can access them. You attach the URL or file alongside your input, and Q then summarizes, evaluates, brainstorms, or answers questions about it.

Supported URLs

Attach any of the following links with your message, and Q will read the content on demand:

The Google Workspace types (Docs, Slides, Sheets) are the ones that need you to authenticate, because the content sits behind your account. If Q can't read a Google link, check that you've completed the authentication step in settings first.

Supported Files

Attach a file directly to your Slack message and Q will read it:

• Audio
• Video
• PDF
• Image
• Excel
• PPT
• Word
• Text
• CSV
• Code

This is the practical difference from the browser version of ChatGPT: Q reads these inputs on demand from inside Slack, so you don't have to copy content out of a document or paste a transcript before asking.

How to Use These Inputs

1. Add Q to your workspace and invite it to a channel or open a direct message.
2. Attach the URL or file to your message — for example, paste a Google Doc link or upload a PDF.
3. Mention @Q with your request in a channel (in DMs you can skip the @Q). State what you want done: summarize, evaluate, brainstorm, self-review, or answer questions.
4. Read the response in the thread, then follow up in the same thread if you need refinement.

For example, a team member could attach a Google Sheet of quarterly figures and ask Q to summarize the trends, or drop in a YouTube link and ask for the key points — all without leaving the conversation.

Practical Notes

• Authentication matters. Public pages generally work as-is; Google Workspace links depend on your account access. Set this up before relying on those URL types in a workflow.
• Team-wide consistency. If your team repeatedly reads the same kinds of inputs, put the rules and templates in Custom Instructions so everyone gets consistent output without re-explaining the task each time.
• Data handling. Q is described as not storing or learning your data, and it reads thread content when mentioned so it can follow the conversation — it does not read content outside that context.
• Trial and plans. Q offers a 14-day free trial with no credit card required; continuing after the trial requires a paid plan. Check the pricing page for current plan details.

Q, ChatGPT for Slack, is worth adopting over browser ChatGPT if your team already works in Slack and you want shared, searchable AI conversations under one workspace billing. It keeps GPT inside the channels where work happens, lets teammates chat with the same assistant, and applies team-wide custom instructions automatically. The trade-off is that Q is a Slack app, so it only works where Slack is available, and continued use after the trial requires a paid plan.

The core difference: shared workspace vs. individual browser

Browser ChatGPT is a personal tool: each person logs in, prompts alone, and keeps their own history. Q runs inside your Slack workspace, so the conversation is visible to the people in that channel or DM. According to the site, you interact with Q by mentioning @Q in any channel, or without @Q in direct messages.

That changes what the tool is good for. Instead of one person summarizing a document and pasting the result elsewhere, the summary, the follow-up questions, and the team's reactions all sit in one thread.

Advantages listed on the site

The site's "Advantages" section compares Q directly with the browser version:

The billing point matters for teams: one purchase covers the workspace, so you avoid collecting receipts from each person.

On-demand reading of URLs and files

This is the feature most likely to change your workflow. Unlike browser ChatGPT, Q reads URLs and files you attach to your input, on demand. The site lists these supported URLs:

• General URLs
• arXiv papers
• YouTube
• Google Slides, Google Docs, Google Sheets
• Notion

Some URLs require your authentication, such as Google Workspace apps.

Supported files include audio, video, PDF, image, Excel, PPT, Word, text, CSV, and code.

The site names summarizing, evaluating, brainstorming, self-reviewing, and Q&A as intended uses. A concrete example: paste a Google Doc link with a request to review it, and Q reads the document and responds in the thread, where teammates can add their own questions.

Team-wide custom instructions

Custom instructions let you itemize team-specific rules, guidelines, and templates once. After that, anyone in the workspace who posts an input gets the benefit without repeating the setup. The site suggests this for emails, translations, tweet and blog content, copywriting, reporting, and coding or testing based on internal information.

This is the clearest structural advantage over browser ChatGPT, where each person configures their own instructions and results vary by user.

Data handling: what the site says

The site states that Q won't store or learn your data, and that you can chat without being trained by OpenAI's model. It also says Q reads the content of a thread when it is mentioned, to understand the conversation, but does not read content outside that context. Treat these as vendor claims and confirm them against your organization's data policy before rolling Q out to sensitive channels.

How to get started

1. Add Q to your Slack workspace using the "Add to Slack" button on the site.
2. Invite Q to a channel or open a direct message.
3. Start chatting by mentioning @Q.
4. Evaluate during the 14-day free trial, which the site says requires no credit card.
5. Upgrade to a paid plan if you want to keep using Q after the trial.

The site links to a pricing page for plan details; check it for current terms rather than assuming a price.

When browser ChatGPT is still the better fit

Choose the browser version if your work is individual and confidential by default, if you need GPT outside Slack, or if you don't want conversations visible to channel members. Q's advantages depend on the shared-workspace model, so a solo user gains little from it. For teams already living in Slack and wanting consistent, reusable prompts, Q removes real friction.

Add Q to your Slack workspace, invite it to a channel or DM, and mention @Q to start chatting. The trial lasts 14 days, requires no credit card, and runs on GPT-5.6; continuing after that requires a paid plan. Q is an officially approved Slack app powered by OpenAI, so the whole setup happens inside Slack rather than a separate browser tab.

Before you start

• You need permission to install apps in the Slack workspace (or an admin who can approve the install).
• Decide where Q should live first: a shared channel for team use, or a DM for private drafting.
• Note the trial terms: 14 days, no credit card, GPT-5.6 during the trial. Pricing details are on the site's pricing page; the page does not state amounts, so check that page before the trial ends.

Step-by-step setup

1. Add Q to your workspace

Use the Add to Slack button on the Q site and approve the install for your workspace. Expected result: Q appears as an app in your Slack workspace.

2. Invite Q to a channel or open a DM

• In a channel: invite the Q app to that channel, the same way you'd add any Slack app.
• In DMs: message Q directly. Per the site, you can interact with Q without @Q in DMs.

Expected result: Q is present where you want to work and can see the conversation it's brought into.

3. Start chatting

In a channel, mention @Q followed by your request. In a DM, just type your message.

Expected result: Q replies in the thread, and you can keep the conversation going there.

4. Attach URLs or files to your prompt

Q reads URLs and files on demand when you include them with your input. Supported URLs include general web pages, arXiv papers, YouTube, Google Slides, Google Docs, Google Sheets, and Notion. Supported files include audio, video, PDF, image, Excel, PPT, Word, text, CSV, and code.

Some URLs require your authentication — for example, Google Workspace apps. The site points to a settings page for handling that; expect to authorize access before Q can read those documents.

5. Set Custom Instructions for your team

Put team-specific rules, guidelines, and templates into Custom Instructions once. After that, anyone in the workspace gets those defaults just by posting their input — useful for emails, translations, tweet/blog drafts, copywriting, reporting, and coding or testing against internal information.

6. Verify it works

A quick check: ask Q to summarize a public URL, then ask it to summarize a Google Doc you own. If the first works and the second fails, the authentication step for Google Workspace URLs is the likely gap.

What to expect from Q's behavior

• Thread awareness: when Q is mentioned, it reads the thread content to understand the conversation. The site's FAQ states it does not read content outside that context.
• Data handling: the site says Q won't store or learn your data, and that unlike the browser version you can chat without your input being used to train OpenAI's model.
• Shared, persistent use: chat history is unlimited with advanced search, and the whole team can use GPT alongside each other — which also makes usage visible and billable as one workspace expense rather than individual subscriptions.

Common snags

Deciding whether to continue after the trial

Continue with a paid plan if your team wants a shared, always-available GPT inside Slack with URL/file reading and centralized billing. If you only need occasional personal use, the browser version of ChatGPT may be enough — the trade-offs Q emphasizes are team visibility, no repeated logins, no peak-hour limits, and one consolidated expense. Check the pricing page for current plan terms before the 14 days run out.