Answer engine optimization for developer tools

AEO (answer engine optimization), GEO (generative engine optimization), LLM SEO and AI search optimization are four names for one job: getting your product named, accurately, when someone asks an AI which tool to use.

For developer tools this matters early, because developers adopted AI assistants before anyone else. The question “what should I use for X” is increasingly asked in a chat window, and the answer usually names two or three products. There’s no page two.

How AEO differs from SEO

	SEO	AEO
Goal	Rank a page for a query	Be named in the generated answer
Unit of competition	Your page vs. other pages	Your product vs. other products, in a summary
What wins	Relevance, links, authority, UX	Consensus across many sources, clear extractable facts
Your own site’s role	Central	One source among many
Third-party mentions	Help via links	Often decisive on their own
Measurement	Rank and clicks	Share of answers, position in answer, sentiment, citations

SEO still matters. Search-enabled answers retrieve pages from an index, so a page that doesn’t rank is rarely retrieved. But an AI answer summarizes several sources at once, so what other people say about you carries more weight than it does in a classic search result.

The AEO playbook for a developer tool

1. Define the prompts that matter

Write 30 to 100 questions your buyers ask, grouped by intent:

• Category: “best observability tool for startups”
• Alternatives: “cheaper alternative to Datadog”
• Comparison: “Grafana vs Datadog for a small team”
• Problem: “how to find slow queries in Postgres in production”
• Stack-specific: “tracing for a Go and gRPC backend”

Problem and stack-specific prompts are underrated. They’re where a smaller tool can be the best answer.

2. Baseline across engines

Run every prompt in ChatGPT, Perplexity, Gemini and Google AI Overviews, several times each, and record: are you named, in what position, how you’re described, and which URLs are cited. See how to track AI visibility.

3. Work the cited sources

The citations tell you what’s deciding the answer. For developer tools, the sources are mostly:

• Reddit threads. Frequently the most-cited source for “which tool” questions. Being in them with a genuinely useful comment is often the biggest single lever. See Reddit marketing for developer tools.
• Comparison articles and listicles, often on competitors’ blogs or dev publications. Get accurate information to the authors, and publish your own honest comparisons.
• Docs, GitHub and Stack Overflow. Engines quote documentation for how-to prompts. Clear docs that name the problem they solve get cited.
• Your own site, once it states what you do in plain sentences.

4. Make your site quotable

• One-sentence definition of the product near the top of the homepage.
• A page per buyer question: “X vs Y”, “X alternatives”, “X for [use case]”, with the answer in the first paragraph.
• Pricing, limits and integrations as text, not images.
• Structured data: Organization, SoftwareApplication, FAQPage.
• AI crawlers allowed in robots.txt and not blocked by your CDN’s bot settings.
• An llms.txt file listing your key pages. It’s a cheap, optional hint, not a ranking factor.

5. Re-test and iterate monthly

Answers drift as models update and new threads rank. Test the same prompt set on a schedule, watch the trend, and put effort into the prompts where you’re close (named sometimes, or named fourth) rather than the ones where you’re absent entirely.

What to expect

• Weeks: new threads and pages that rank start appearing as citations in search-enabled answers.
• Two to three months: measurable change in answer share across a prompt set, if the work is consistent.
• Model releases: training-data effects show up when new models ship. You can’t time these, but consistent presence across sources is what they pick up.

Choosing an AEO agency

AEO is a crowded label. Any agency worth hiring should:

• Show you the prompt set and the raw answers, not just a score.
• Explain which sources drive each answer and what they’ll do about them.
• Do real work on third-party presence, not only on-site tweaks.
• Refuse to guarantee placement. Nobody controls model outputs.

We do AEO specifically for developer tools, led by Reddit because that’s where engineers and the models both read. The monthly report quotes every AI answer in full, including the weeks you’re not in them. If you’d rather run it yourself, start with how to get cited by ChatGPT.