6 Ways to Automate AEO With Letaido

AI assistants are now a discovery channel. People who used to type a query into Google now have the option to ask ChatGPT, Claude, Gemini, Perplexity, or Copilot instead. And the answer they get back names a few brands, cites a few sources, and moves on.

If you’re one of the named brands, you win. If you’re not, you never knew the conversation happened.

Optimizing for that is called AEO (or if you prefer, GEO.) This is now part of SEO and/or the marketing team’s responsibility.

The unfortunate problem is that it’s relentless. The answers shift weekly if not daily. The answers vary by model, by country, by phrasing. In fact, the same prompt generates different brands in different lists all the time.

A competitor you’ve never heard of could start getting cited and you only find out a month later. Or somewhere in a Reddit thread that an LLM keeps quoting, your pricing is wrong.

None of this trips an alarm. But you need someone checking, on a schedule, regularly. It doesn’t have to be you. It just needs to ping you when something’s worth your attention.

This is the part of AEO you can hand to Letaido.

Here are some of the best use cases you can get started with.

What is Letaido?

Letaido is a marketing agent from Ahrefs—an AI assistant with direct access to the full Ahrefs dataset that can carry out marketing tasks autonomously, rather than just answer questions.

Letaido includes:

• Unrestricted access to Ahrefs endpoints. Every endpoint we use to build Ahrefs is available, including many you cannot reach via API or MCP.
• Serious tech stack underneath. Postgres for state, Flask for UIs, an OpenRouter proxy with 300+ models, web fetch with full-page parsing, PDFs, OCR, scheduled jobs.
• Native connectors to marketing tools. Slack, HubSpot, GitHub, Notion, Linear, Mailchimp, Resend, SendGrid, Stripe, Gong, WordPress, Airtable, Apify, and even Semrush.
• Expert skill library. The Ahrefs team has contributed pre-built marketing skills and applications that encode how we actually work.

1. Discover the prompts worth winning 

When you do keyword research, your goal is to find what people typed into Google’s search box.

AEO is the same-same-but-different job: you’re trying to figure out which prompts and questions people now put to an assistant, and which ones are worth winning.

Unfortunately, you can’t measure prompt volume directly. But you can estimate it.

Here’s how:

Give Letaido a few seed topics and it uses Brand Radar to surface the real prompts and questions people ask in your niche, then pulls the search demand behind each one as a proxy for how often it’s asked.

Since raw search volume overstates prompt demand (because fewer people use each AI assistant than Google), Letaido scales each prompt’s demand by the assistant’s user base relative to Google Search.

For example, if ChatGPT has roughly 30% of Google’s users, a prompt’s Google volume is weighted by ~0.3 to reflect its real AI demand.

What comes back is a prioritized map of prompts, ranked by the search demand behind each one (a rough proxy) and how commercial the intent is.

You end up with a shortlist of the prompts that actually matter in your space, instead of guessing.

2. Measure your share of voice across every major AI platform 

Everyone wants to know “are we showing up in ChatGPT?”

But the thing is: it’s different for every platform. Even if you’re showing up on ChatGPT, it doesn’t mean you’re doing the same for AI Overviews, AI Mode, and more.

Here’s how to see your real share of voice.

Ask Letaido to measure your real share of voice across the assistants that matter to you (e.g., ChatGPT, Google AI Overviews, AI Mode, Gemini, etc.). It runs your priority prompts through Brand Radar, counts how often each answer mentions or recommends you versus your named competitors, and breaks it down prompt by prompt so you can see exactly which ones you win and which you lose.

The output is a scoreboard: your share of voice per platform, the prompts where you’re absent, and the competitors eating your share.

Starter prompt:

3. Find the sources that cite your competitors instead of you 

When an assistant recommends a competitor instead of you, it’s because it trusted specific sources. Those sources aren’t a mystery. They’re listed, right there in the citations.

Ask Letaido to reverse engineer them.

For the prompts you care about, it uses Brand Radar to pull the exact domains and pages AI cites when it answers — the review sites, the listicles, the docs, the forum threads — and ranks them by how often they’re cited and how much authority they carry.

Now you have a target list: earn your way into those specific sources (a mention, a listing, a correction, a guest piece) and you change what AI says next time.

This is where a lot of AEO work actually happens, because most brand mentions that shape AI answers come from other websites, not yours.

4. Build a sentiment tracker for your brand 

Assistants don’t just decide whether to mention you. They also decide how to frame you. And that framing shifts constantly across platforms and prompts. You want a standing read on whether AI talks about your brand positively, neutrally, or negatively, and where the negative framing is concentrated.

Here’s how you can get Letaido to handle it.

Get Letaido to pull the full text of every AI answer about you from Brand Radar, score the sentiment, and track the totals over time. The output is a scoreboard: your share of positive versus negative framing per platform, the prompts where the framing is worst, and the trend as it moves week to week.

This is the standing audit that tells you whether you have a perception problem and where.

Then follow Despina’s guide on auditing brand mentions to learn what to do next.

5. Catch AI making things up about your brand 

Assistants hallucinate confidently. They’ll claim you have a feature you killed two years ago, quote a price that was never real, or attribute a competitor’s integration to you…. in fluent, authoritative prose

Left alone, that becomes what thousands of buyers believe.

Give Letaido your ground truth: your docs, your pricing page, your feature list, etc. Then get it to fact-check the AI assistants by pulling every AI answer about you from Brand Radar, check each factual claim against your source of truth, and flag the fabrications.

For each one, it traces the cited source that likely seeded it, so you know whether to fix a page, request a correction, or feed a better signal.

The result is a list of things AI is wrong about you, each with the receipt.

6. Build an AI visibility report your boss will read 

Every AEO program eventually has to justify itself to someone who doesn’t care about citations, only outcomes. That report is tedious to assemble by hand and easy to put off, so it never gets made.

Get Letaido to write it.

On a schedule, it stitches together your AI share of voice and citation trends from Brand Radar, your search performance from Search Console, and your AI assistant referral traffic from Web Analytics into one client-ready monthly narrative.

KPI tiles, month-over-month movement, the prompts you gained and lost, and a short written summary a non-specialist can follow.

Final thoughts

AEO isn’t a project you finish. The answers move every week, and the defense is having something watching when you’re not.

That’s the real unlock here: Get Letaido to run all of these on a schedule and ping you when a competitor starts winning a prompt, when your pricing shows up wrong, and when sentiment slips.

If you’re an Ahrefs customer, you can try Letaido for free for one month.

Paste a starter prompt into a fresh workspace and you’ll have the first version running today. Then refine and customise it to your desired workflow. You’ll have your personal AEO tools in no time.