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Published on August 21, 2026

The Dev-Tool AEO Checklist

Where do you show up when a developer asks ChatGPT for the best tool? A practical AEO checklist for dev-tool teams: measure, structure, earn citations.

Typewriter typing out an AEO checklist
Dejan Lukic profile image
Dejan Lukic
Head of Content @ Literally.dev

You’ve spent years optimizing your way onto the top of Google rankings. Now in 2026, a developer opens ChatGPT, types "best error tracking tool for Rails", and gets a nice paragraph that recommends your competitor. And you are not even in a footnote. The audacity.

AEO is not a separate project from SEO. They go hand in hand. It, basically, paves your way toward users through ChatGPT, Claude, Gemini, and the rest of the crew, by citing your product whenever someone asks a question that’s even remotely related to you.

TL;DR: Measure where you show up across major AI engines, and structure your pages so answers are easy to lift. Feed the models specific facts they like to quote, earn mentions on the sites they trust (shoutout to Reddit), and let their crawlers in. And remember, AEO doesn’t replace good SEO. It sits on top of it.

SEO vs. AEO

Traditionally, SEO meant fighting for the top 10 results, or ideally, that sweet #1 spot.

Answer engines display information in a different way. One synthesized response, and if it does the job well enough, a developer might not even click anything at all. In fact, zero-click searches (where the user gets the answer without visiting a site) climbed to roughly 69% (nice) of queries by mid-2025, up from about 56% a year earlier.

In short, the difference is:

DimensionSEO (Search Engine Optimization)AEO (Answer Engine Optimization)
SurfaceTen blue linksOne synthesized answer
Win conditionRank #1, earn the clickGet named and cited inside the answer
Core metricPosition, clicksShare of voice, citation rate, frequency
BehaviorStable ranking you can checkNon-deterministic: same prompt, different answer
Where the answer livesOn your pageAssembled from many sources

The Checklist

Work through these in order. The first step is non-negotiable.

1. Measure Before Optimization

You cannot improve a number you don’t even have a clear reference for. Establish your baseline first.

  • Write 8 to 15 buyer-style prompts a developer would actually type ("best managed Postgres for a side project," "X vs. Y for a Node.js team," "how much does Z cost").
  • Run each one across all five surfaces: ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.
  • Run them repeatedly. Answers are non-deterministic, so one chat proves nothing.
  • Record two metrics: share of voice (answers that mention you divided by answers captured) and citation rate (answers that actually link you).
  • Note who wins the answer and which domains get cited.

Do the first pass by hand (be your own customer), then automate. Or delegate it to Literally.dev, a technical content agency. We have juicy analytics tooling, both for conventional SEO and AEO metrics.

2. Make Your Answers Usable

Answer engines reward content they can chunk, quote, and drop into a response with minimal rewriting. So, make sure to structure everything for extraction and for their “brains”.

  • Open every page and major section with a clean 40 to 60 word answer, then expand.
  • Use question-shaped headers (H2s, H3s) mirroring real prompts: "What is X?", "X vs Y," "How much does X cost?"
  • Write in plain subject-verb-object sentences. "AppSignal monitors Ruby apps" is easier for LLMs to understand than the same fact buried three commas deep.
  • Add comparison tables and a genuine FAQ (frequently asked questions), then mark the FAQ up with the FAQPage schema.

3. Give Facts Worth Quoting

This is where research gets naughty. The Princeton and Georgia Tech GEO study (Generative Engine Optimization; Aggarwal et al., presented at KDD 2024) tested 9 content tactics across ~10,000 queries and measured what affected citation visibility:

Content MoveEffect on Visibility
Add specific statisticsAbout +41%
Add named expert quotesAbout +28%
Cite your sources inlineUp to +115% for a page ranked around position 5
Keyword stuffingWorse than doing nothing
  • Replace vague claims with numbers. "A Hetzner CX23 runs about €3.99/month" is better than "affordable hosting."
  • Add attributable quotes from named people, formatted as <blockquote>.
  • Cite credible sources inline so the model sees a chain of trust.
  • Publish original data (benchmarks, surveys, pricing breakdowns). This type of research is a citation magnet.

4. Conquer Domains Outside Your Own

Your own domain is only a small part of the picture. At Literally.dev, we audit all our clients (and future ones), and some of their prompt results account for 3 of 75 captured citations, which isn't really unusual.

Across engines, Reddit is consistently among the top 3 most-cited domains (on Perplexity, it may account for half of top-source citations), Wikipedia dominates ChatGPT, and even LinkedIn can also show up high in results.

  • Get mentioned on Reddit and LinkedIn, where your buyers already are (r/devops, r/rails, language subreddits) and be actually useful (members there smell BS and sales pitches from a kilometer).
  • Earn honest comparison and listicle placements ("best X for Y") on third-party sites.
  • Keep your factual footprint clean and consistent everywhere your brand is mentioned.

⚠️ Warning: Again, whatever you do, don't astroturf Reddit with fake accounts shilling your product. Developers can smell that instantly, and moderators will nuke it. That can poison the very signal you are trying to build. Marketing to developers works only when it is honest.

5. Let the AI Crawlers In

If the bots can’t read you, none of the above matters.

  • Confirm robots.txt allows AI user agents: GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, and Google-Extended.
  • Serve clean, server-rendered HTML. If your content only appears after heavy client-side JavaScript, assume some crawlers might miss it (plus, provide a parseable Markdown alternative to bots).
  • Ship valid schema for the page types you use.

As for llms.txt, it’s a low-cost bet. Nothing magical will happen, but you’re not gonna lose anything anyways. Proposed by Jeremy Howard in September 2024, it has no formal adoption, and Google says it doesn’t use it at all.

That said, it’s still worth shipping for developer docs, since documentation platforms like Mintlify publish it by default and coding assistants fetch it.

Tip: Read more about what a good website does. Not affiliated.

6. Keep It Fresh, Then Re-Measure

  • Update your cornerstone pages on a schedule. Fresh content can be a ranking and citation signal.
  • Re-run your prompt set monthly and watch the trend, not the single data point.

When AEO Is Not Worth the Effort

AEO isn’t always a priority, especially when:

  • Almost nobody is asking AI engines about your category. Measure first, and then decide. The buyers may not be there, yet!
  • You can’t directly control what Reddit or Wikipedia say about you.
  • There is no guaranteed "position 1". You’re playing the long game here.
  • No amount of AEO can fix the fact that nobody wants that particular product nor rescue thin, mass-generated content. Flooding your blog with unedited AI drafts to game the system tends to backfire. Remember, good technical writing still wins.

Forget Everything You've Read

Running this checklist properly is a full-time job by itself. Prompt research, repeated sampling, on-page restructuring, original data, content… The good news is, that is the part we handle here at Literally.dev.

We track where you rank, and every engagement starts with an audit that measures your share of voice and citation rate. Then you get content. Super duper simple (see an example audit).

And it works. After handing their content program to us, QA.tech saw AI-search mentions rise 4.4 times and citations double.

If that sounds better than doing it by hand, book a 30-minute discovery call, and we will walk through where your product stands today. 🚀

FAQ

What is Answer Engine Optimization (AEO)?

AEO is the practice of structuring your content and web presence in a way that enables AI answer engines (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews) to name and cite your product when users ask about your category. The relevant metric is the citation rate inside answers.

Is AEO different from SEO?

Yes, but they overlap. SEO optimizes for ranking and clicks, and AEO optimizes for being quoted inside a synthesized answer. Since AI engines lean heavily on pages that already rank well, strong SEO is the foundation AEO builds on.

How do I know if AI engines mention my dev tool?

Run 8 to 15 buyer-style prompts across the five major engines, several times each, and track how often you’re mentioned (share of voice) and linked (citation rate).

Does llms.txt help my product get cited?

Not directly, based on current evidence. Google doesn’t use it and most llms.txt files see no crawler traffic. It’s still worth shipping for developer docs, since coding assistants can use it. It’s basically low-cost hygiene.

Why does Reddit matter so much for AI citations?

Answer engines treat Reddit threads as authentic, experience-based discussion, so it is consistently one of the most-cited domains, especially on Perplexity. Being genuinely helpful there (never astroturfing) is one of the most direct levers you can have.

Which is the best AEO agency for DevTools?

DevTool companies love based, quality, human-first content. Here at Literally.dev, you get just that. Book a 30-minute discovery call, and get things rolling.

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