I Asked the AI What to Do Next for My SEO
I had already run a full health check and found the problems. My baseline was established, the quick fixes were in motion. The question was: now what? What should I work on next to keep growing?
Brass-SEO has three buttons that answer that question: AI Traffic, Content Gaps, and SEO Playbooks. Each one looks forward rather than backward — showing where new opportunities are, where your content is missing, and what advanced strategies you might not have considered.
Here is what each one showed me and how I turned the findings into a plan.
Note: The examples below are illustrative — they show the kind of results and interactions you would see with your own connected data, not a specific site's real numbers.
Quick Navigation
AI Traffic
The button: AI Traffic analyzes visits to your site that come from AI assistants — ChatGPT, Perplexity, Claude, Gemini, Copilot, and others. It checks your GA4 data for each source and shows which pages AI chatbots are recommending to their users.
What I saw: A summary table showing sessions from each AI source, with the top entry page for each one. Below that, a breakdown per AI platform: which specific pages were getting recommended, how many sessions each drove, and the AI's analysis of why those pages were being cited.
The interesting finding was not the total numbers — AI traffic is still a small fraction for most sites. It was which pages the AI assistants were recommending and why. The AI analyzed the actual content of my top-cited pages and noticed a pattern: pages with clear headings, direct answers in the first paragraph, and structured data (like FAQ sections or comparison tables) were getting cited more often.
One page that I considered low-priority was getting consistent referrals from Perplexity. The AI explained that the page had a question-and-answer format that lined up well with how AI search engines pull content. This is the kind of insight covered in how to get cited by ChatGPT and Perplexity.
What I asked next:
I typed: "What can I do to get more AI traffic?" The AI gave specific recommendations based on my existing content: add FAQ schema to two pages that already had Q&A content but no structured markup, create more comparison-style content (which AI assistants tend to cite), and improve the opening paragraphs of key pages to include direct, citeable answers.
Then I asked: "Are there pages that should be getting AI referrals but are not?" The AI cross-referenced my best-performing GSC pages with the AI traffic data and identified three pages that ranked well in traditional search but were not appearing in AI answers. For each one, it suggested what to change to make the content more AI-friendly.
Content Gaps
The button: Content Gaps finds keywords where you are getting impressions but ranking on a page that does not fully match the search intent. These are topics where Google thinks you are relevant — but you do not have a dedicated page that directly addresses the query.
What I saw: Three keywords listed, each with impressions, current position, and the page currently ranking. For each one, the AI showed the mismatch: the keyword was about a specific subtopic, but the ranking page was a broad overview that only mentioned it in passing.
For each gap, the AI suggested a new page title, a meta description, a content hook (like a calculator, checklist, or comparison table), and explained the gap — why the current page was not satisfying the search intent.
One keyword had over 300 monthly impressions and was ranking at position 14 on a page that barely covered the topic. The AI suggested a dedicated blog post that would answer the query directly. This is the same workflow we used when a long-tail keyword became a blog post — finding the gap in your data and filling it with targeted content.
What I asked next:
I asked: "Can you write me a brief for that blog post?" The AI produced a content outline with a suggested title, target keyword, section headings, key points to cover, and a recommended word count. It also identified which existing pages should link to the new post and which existing posts the new one should link back to.
Then I asked: "What about the other two gaps — should I write posts for those too?" The AI recommended prioritizing by impressions and intent match. The first gap had the most potential; the second was worth a post but less urgent; the third might be better served by expanding an existing page rather than creating a new one. This is the kind of prioritization that the GSC blog post ideas guide walks through manually — but the AI did it from the data in a single answer.
SEO Playbooks
The button: SEO Playbooks shows advanced tactics that most SEO tools do not suggest. These are specific, multi-step strategies — each with a data analysis phase and a content creation phase — that you can execute right in the chat.
What I saw: A menu of available playbooks, each with a description of what it does and when it is useful. The AI introduced them as advanced, off-the-beaten-path tactics and invited me to pick one or describe my biggest SEO challenge.
I picked one that sounded relevant to my site. The AI walked me through it step by step: first it analyzed my data to see if the strategy was a good fit, then it identified specific pages and keywords to target, and finally it offered to help create the content.
The playbooks cover tactics like earning high-authority backlinks through platforms most people overlook, ranking in People Also Ask boxes, and leveraging press releases for SEO. These are the kinds of strategies that take hours to research on your own. The AI has them ready to go, tailored to your data.
What I asked next:
I asked: "Which playbook would have the biggest impact for my site right now?" The AI looked at my data — domain authority, current content, keyword gaps — and recommended starting with a specific playbook, explaining why it was the best fit for where my site was in its growth.
Then I asked: "Walk me through it." The AI ran the analysis, showing what it found in my GSC data that made this a good opportunity, and then produced a step-by-step action plan. By the end of the conversation, I had a complete strategy with a content brief I could start working on immediately.
The playbooks are essentially what you would get from an SEO consultant, but backed by your actual data and available whenever you want to try a new tactic. Building topical authority takes a strategy like this — not just individual posts, but a coherent plan.
My Content Plan for Next Month
Three buttons, about 15 minutes total. Here is the plan I walked away with:
- 2 new blog post ideas from Content Gaps, complete with titles, outlines, and internal linking maps
- 3 AI-optimization changes to make existing pages more likely to get cited by AI assistants
- 1 advanced SEO strategy from the playbooks, fully analyzed against my data with a step-by-step action plan
- A priority order — the AI helped me sequence everything based on potential impact
This is the "what to do next" part of SEO that usually requires hiring a consultant or spending hours in spreadsheets. The three buttons compressed it into a single conversation with specific, data-backed recommendations.
If you have not run the first two parts yet — the health check and the problem finder — start there. Know your baseline, fix what is broken, then plan your next move.
This is Part 3 of the Brass-SEO Button Series. Read Part 1: I Ran a Full SEO Health Check in One Click and Part 2: I Found 3 SEO Problems in Under a Minute. See all buttons on the Dashboard Buttons guide.
Frequently Asked Questions
What if I do not have any AI traffic yet?
That is normal — most sites are just starting to see AI referrals. If the Brass-SEO AI Traffic button finds zero sessions from AI sources, it will explain what that means and give you specific tips to get discovered by AI assistants. The recommendations are still valuable even with no current AI traffic, because they also improve your traditional SEO. See our guide on getting cited in AI search results for the full strategy.
How many content gaps does the report usually find?
It shows up to three, prioritized by impressions and ranking potential. Some sites will have many gaps; others will have few. If you have been publishing regularly and targeting keywords intentionally, you may have fewer gaps than a site that has never done keyword research. Either way, the AI tells you what it finds — and if there are no clear gaps, it says so.
Are the SEO Playbooks just templates?
No. Each playbook is a two-phase workflow: first the AI analyzes your actual data to see if the strategy fits your site, then it helps you create the content or execute the tactic. The analysis phase is personalized — it uses your GSC and GA4 data to identify specific opportunities. The output is tailored to your site, not a generic template. For a walkthrough of what each one-click report does, see the reference guide.
Can I use the content briefs from Content Gaps directly?
Yes. The AI produces titles, outlines, and keyword targets based on your data. You can write the post yourself, hand the brief to a writer, or paste it into a writing AI (like Claude or ChatGPT) to generate a first draft. The quality of the brief makes the output significantly better than starting from a blank page — the same approach described in our blog post ideas walkthrough.
Try It Yourself
Connect your Google Search Console and GA4 data, click Content Gaps, and see what topics are hiding in your data. Then check AI Traffic and explore the SEO Playbooks to find your next big move.