Adam Jellal
April 14, 2026
SEO and AI tools have natural synergy: SEO requires producing a lot of specific, structured text — title tags, meta descriptions, H2 structures, FAQs, schema markup, alt text — at scale, across dozens or hundreds of pages. These tasks are time-consuming but highly templatable, making them ideal candidates for AI assistance.
The limitation AI brings to SEO is equally clear: it doesn't have access to live search data. It can't tell you a keyword's actual search volume, competition level, or how Google is currently ranking content for that query. It also can't see your site's existing content to flag cannibalization risks.
This guide covers how AI fits into each stage of an on-page SEO workflow — what it does well, what requires a dedicated SEO tool or human judgment, and what prompts and tools get the best results at each stage.
What AI does well: generating keyword variation lists, identifying related topics, surfacing questions your audience is asking, building semantic keyword clusters.
What AI can't do: provide verified search volume, difficulty scores, or current ranking data. These require a dedicated SEO tool (Google Search Console, Ahrefs, Semrush, or similar).
The workflow:
Use Typely's AI Chat to generate an initial keyword inventory for a topic, then validate in your SEO tool:
"I'm creating content around the topic of [topic] for audience [description]. Generate: (1) 10-15 long-tail keyword phrases a person searching for information about this topic would use, (2) 8-10 question-format keywords (people also ask style), (3) 5-7 comparison keywords ('X vs Y' or 'best X for Y'), (4) 3-5 navigational keywords (branded + topic), and (5) the likely search intent (informational / commercial / navigational) for each."
Take the AI's keyword list into your SEO tool and check each one for: search volume (is there actual traffic?), keyword difficulty (can you realistically rank?), and current SERP landscape (who's ranking, and what type of content?).
The AI generates the brainstorm; the SEO tool validates which items are worth pursuing.
What AI does well: identifying which subtopics and questions should be covered in a comprehensive piece to match user intent, based on what you tell it about what competitors cover.
What AI can't do: automatically scan competitor pages or your site's existing content. You need to supply that information.
The workflow:
Review the top 3-5 ranking results for your target keyword. Note the main H2 sections and subtopics they cover. Then use Typely's AI Chat:
"I'm writing a comprehensive piece targeting the keyword [keyword]. Here's a summary of what the top-ranking articles currently cover: [brief description of their H2 structure and main topics]. What are: (1) the questions these articles don't fully answer, (2) subtopics that are likely being searched by my audience but aren't well-covered in current results, and (3) the differentiation opportunity — what could make a new piece genuinely more useful than existing results?"
Use the gap analysis to strengthen your content brief before writing begins.
What AI does well: generating logical, keyword-inclusive H2 structures that cover a topic comprehensively.
What requires human judgment: verifying that the structure serves the reader's actual journey through the topic, not just a list of subtopics.
The workflow:
Use Typely's AI Chat:
"Create a content outline for a [word count]-word article targeting the primary keyword [keyword] and secondary keywords [list]. The H2 structure should: (1) follow the logical journey a reader takes from understanding the problem to finding the solution, (2) naturally incorporate the primary keyword in the H1 and at least 2-3 H2s, (3) include secondary keywords in relevant H2s without forced placement, (4) include a FAQ section with 3-5 questions targeting question-format keywords. Also specify the approximate word count for each section."
Review the structure manually: does it flow logically for a reader? Are there headings that feel like keyword stuffing rather than genuine section titles? Adjust before writing.
What AI does well: naturally incorporating a keyword list into flowing text without awkward repetition.
What to watch for: AI occasionally over-uses keywords in a way that reads unnaturally (implicit keyword stuffing). Read any keyword-dense section aloud — if any sentence sounds like it was written to include the keyword rather than to communicate, rewrite it.
The workflow:
After drafting each section, use Typely's AI Chat to check natural keyword integration:
"Here is a draft section of an article targeting the keyword [primary keyword]. Review it and: (1) identify where the keyword and related phrases appear, (2) flag any uses that feel forced or unnatural, (3) suggest more natural alternatives where flagged, (4) note if the keyword density seems too high or too low for an ~[word count]-word section."
Edit based on the review, always prioritizing readability over keyword density.
Title tags and meta descriptions are where AI provides the highest direct SEO ROI: they're short, templatable, and AI produces 6-8 strong variations in seconds versus 15-20 minutes manually.
Title tag requirements:
Meta description requirements:
Use Typely's AI Chat:
"Write 6 title tag options for an article about [topic] targeting keyword [primary keyword]. Each under 60 characters. Mix: 2 question format, 2 benefit-led, 2 how-to format. Also write 4 meta description options under 155 characters each that include the keyword naturally and give a compelling reason to click."
Test your chosen title tag character count before publishing. Many CMS platforms show character counts in the metadata fields; if yours doesn't, use a simple character counter.
FAQ sections are one of the highest-value SEO elements for capturing "People Also Ask" snippets and long-tail question keywords. They're also one of the most time-consuming sections to write without AI.
The workflow:
Use Typely's AI Chat:
"Based on this article about [topic] targeting keyword [keyword], write a 5-question FAQ section. The questions should be: (1) phrased the way a person would actually search for this information (question format, natural language), (2) covering questions not fully answered in the main article body, (3) targeting long-tail question keywords your audience would use. Each answer should be 2-4 sentences — complete enough to stand alone, concise enough to potentially appear as a featured snippet."
Each FAQ answer should be self-contained: someone reading only that answer should get a complete response to the question. This is what qualifies for featured snippets.
Alt text serves both accessibility (screen readers) and SEO (search engine indexing). Writing meaningful alt text for 20+ images in a long-form article is genuinely tedious — AI handles it well.
The workflow:
Use Typely's AI Chat in batch:
"Write alt text for the following images in an article about [topic]: [describe each image briefly — subject, context, what it shows]. For each: (1) be specific and descriptive, (2) include the primary keyword or a variant where natural (not in every image), (3) keep each under 125 characters. Do not start with 'Image of' or 'Photo of.'"
Internal links are one of the most underused on-page SEO levers. AI helps identify where to add them and what anchor text to use.
The workflow:
Paste your draft into Typely's AI Chat:
"Here is a draft article about [topic]. I have existing content on these related topics on my site: [list 5-8 related article topics]. For each related topic, identify: (1) the most relevant passage in this article where an internal link to that topic would add value for the reader, and (2) 2-3 natural anchor text options for the link that include the target keyword or a close variant without sounding forced."
Check each suggested anchor text in context — it should read naturally and make sense to a reader who hasn't seen the linked article.
Monitor ranking changes. AI tools don't have access to your Google Search Console data, your ranking history, or current SERP changes. Ranking analysis requires dedicated SEO tools.
Evaluate backlink profiles. AI can't assess your domain authority, your backlink profile, or the competitive link landscape for a keyword. These are specialist SEO tool capabilities.
Guarantee rankings. AI can optimize content for search intent and proper keyword use, but rankings depend on hundreds of factors including domain authority, content quality, user engagement signals, and competitive landscape. No tool can guarantee specific rankings.
Replace keyword validation. AI suggestions for keywords must always be validated in a dedicated SEO tool before you build a content strategy around them.
All content optimization tools — from draft writing to metadata generation to grammar checking — are available free at usetypely.com.
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