AI assistants at the moment are a discovery channel. Individuals who used to sort a question into Google now have the choice to ask ChatGPT, Claude, Gemini, Perplexity, or Copilot as an alternative. And the reply they get again names a couple of manufacturers, cites a couple of sources, and strikes on.
If you happen to’re one of many named manufacturers, you win. If you happen to’re not, you by no means knew the dialog occurred.
Optimizing for that’s known as AEO (or if you happen to favor, GEO.) That is now a part of search engine optimisation and/or the advertising workforce’s duty.
The unlucky downside is that it’s relentless. The solutions shift weekly if not every day. The solutions differ by mannequin, by nation, by phrasing. In reality, the identical immediate generates totally different manufacturers in several lists on a regular basis.
AI assistants are extremely inconsistent in relation to recommending manufacturers or merchandise. Suggestions change each time you ask the identical query.
A competitor you’ve by no means heard of might begin getting cited and also you solely discover out a month later. Or someplace in a Reddit thread that an LLM retains quoting, your pricing is mistaken.
None of this journeys an alarm. However you want somebody checking, on a schedule, usually. It doesn’t need to be you. It simply must ping you when one thing’s value your consideration.
That is the a part of AEO you possibly can hand to Letaido.
Listed below are among the greatest use circumstances you may get began with.
What’s Letaido?
Letaido is a advertising agent from Ahrefs—an AI assistant with direct entry to the complete Ahrefs dataset that may perform advertising duties autonomously, fairly than simply reply questions.
Letaido contains:
- Unrestricted entry to Ahrefs endpoints. Each endpoint we use to construct Ahrefs is offered, together with many you can’t attain by way of API or MCP.
- Critical tech stack beneath. Postgres for state, Flask for UIs, an OpenRouter proxy with 300+ fashions, net fetch with full-page parsing, PDFs, OCR, scheduled jobs.
- Native connectors to advertising instruments. Slack, HubSpot, GitHub, Notion, Linear, Mailchimp, Resend, SendGrid, Stripe, Gong, WordPress, Airtable, Apify, and even Semrush.
- Professional talent library. The Ahrefs workforce has contributed pre-built advertising expertise and functions that encode how we truly work.
If you do key phrase analysis, your purpose is to seek out what individuals typed into Google’s search field.
AEO is the same-same-but-different job: you’re attempting to determine which prompts and questions individuals now put to an assistant, and which of them are value profitable.
Sadly, you possibly can’t measure immediate quantity instantly. However you possibly can estimate it.
Right here’s how:
Give Letaido a couple of seed matters and it makes use of Model Radar to floor the true prompts and questions individuals ask in your area of interest, then pulls the search demand behind each as a proxy for the way typically it’s requested.
Since uncooked search quantity overstates immediate demand (as a result of fewer individuals use every AI assistant than Google), Letaido scales every immediate’s demand by the assistant’s consumer base relative to Google Search.
For instance, if ChatGPT has roughly 30% of Google’s customers, a immediate’s Google quantity is weighted by ~0.3 to mirror its actual AI demand.
What comes again is a prioritized map of prompts, ranked by the search demand behind each (a tough proxy) and the way business the intent is.
You find yourself with a shortlist of the prompts that really matter in your house, as an alternative of guessing.
Starter immediate
Construct me an AEO prompt-discovery software. Enter: a couple of seed matters. (1) Use Ahrefs Model Radar to floor the true questions individuals ask on this area of interest and pull their search demand; (2) cross-check quantity and intent in opposition to Key phrases Explorer; (3) rating every immediate by search demand (as a proxy for immediate demand) × business intent; (4) cluster the prompts into themes. Output a ranked immediate map in a desk I can export, with quantity, intent, and theme per immediate.
Everybody desires to know “are we displaying up in ChatGPT?”
However the factor is: it’s totally different for each platform. Even if you happen to’re displaying up on ChatGPT, it doesn’t imply you’re doing the identical for AI Overviews, AI Mode, and extra.
Right here’s how one can see your actual share of voice.
Ask Letaido to measure your actual share of voice throughout the assistants that matter to you (e.g., ChatGPT, Google AI Overviews, AI Mode, Gemini, and so forth.). It runs your precedence prompts by Model Radar, counts how typically every reply mentions or recommends you versus your named rivals, and breaks it down immediate by immediate so you possibly can see precisely which of them you win and which you lose.
The output is a scoreboard: your share of voice per platform, the prompts the place you’re absent, and the rivals consuming your share.
Starter immediate:
Starter immediate
Construct me an AI share-of-voice tracker. For my listing of precedence prompts and named rivals, use Ahrefs Model Radar to measure my share of voice throughout ChatGPT, Perplexity, Gemini, Copilot, Grok, and Google AI Overviews/AI Mode. Break it down per platform and per immediate: the place I’m talked about, the place I’m beneficial, the place I’m absent, and which competitor wins as an alternative. Log the weekly totals so I can monitor the development, and solely ever present my share relative to my named rivals.
When an assistant recommends a competitor as an alternative of you, it’s as a result of it trusted particular sources. These sources aren’t a thriller. They’re listed, proper there within the citations.
Ask Letaido to reverse engineer them.
For the prompts you care about, it makes use of Model Radar to tug the precise domains and pages AI cites when it solutions — the evaluate websites, the listicles, the docs, the discussion board threads — and ranks them by how typically they’re cited and the way a lot authority they carry.
Now you will have a goal listing: earn your method into these particular sources (a point out, an inventory, a correction, a visitor piece) and you modify what AI says subsequent time.
That is the place plenty of AEO work truly occurs, as a result of most model mentions that form AI solutions come from different web sites, not yours.
Starter immediate
Construct me a citation-source finder. For my precedence prompts, use Ahrefs Model Radar to tug the precise domains and pages AI platforms cite when recommending my rivals. Rank them by quotation frequency and authority, mark which of them already point out me vs. don’t, and label every with the play to earn in (get listed, get reviewed, request a correction, pitch a contribution). Output a prioritized outreach listing.
Assistants don’t simply determine whether or not to say you. Additionally they determine how one can body you. And that framing shifts continuously throughout platforms and prompts. You desire a standing learn on whether or not AI talks about your model positively, neutrally, or negatively, and the place the detrimental framing is concentrated.
Right here’s how one can get Letaido to deal with it.
Get Letaido to tug the complete textual content of each AI reply about you from Model Radar, rating the sentiment, and monitor the totals over time. The output is a scoreboard: your share of constructive versus detrimental framing per platform, the prompts the place the framing is worst, and the development because it strikes week to week.
That is the standing audit that tells you whether or not you will have a notion downside and the place.
Then comply with Despina’s information on auditing model mentions to be taught what to do subsequent.
Starter immediate
Construct me a negative-sentiment tracer. Use Ahrefs Model Radar to tug the complete reply textual content, immediate, and cited sources for each AI point out of my model throughout platforms. Run sentiment evaluation on every reply, preserve the detrimental ones, and for every: quote the road, identify the triggering immediate, and establish the cited supply most probably accountable. Log them to Airtable sorted by severity, and re-run weekly so I can watch points clear as I repair the sources.
Assistants hallucinate confidently. They’ll declare you will have a function you killed two years in the past, quote a value that was by no means actual, or attribute a competitor’s integration to you…. in fluent, authoritative prose
Left alone, that turns into what 1000’s of consumers consider.
Give Letaido your floor reality: your docs, your pricing web page, your function listing, and so forth. Then get it to fact-check the AI assistants by pulling each AI reply about you from Model Radar, verify every factual declare in opposition to your supply of reality, and flag the fabrications.
For each, it traces the cited supply that possible seeded it, so whether or not to repair a web page, request a correction, or feed a greater sign.
The result’s an inventory of issues AI is mistaken about you, every with the receipt.
Starter immediate
Construct me an AI hallucination catcher. Inputs: my source-of-truth docs (pricing, function listing, product pages) and my model. Use Ahrefs Model Radar to tug each AI reply about me throughout platforms, extract every factual declare, and verify it in opposition to my docs. Flag each declare that’s false or outdated, quote it, present the contradicting floor reality, and hint the cited supply that most probably induced it. Output a repair listing grouped by supply so I can right the worst offenders first.
Each AEO program ultimately has to justify itself to somebody who doesn’t care about citations, solely outcomes. That report is tedious to assemble by hand and straightforward to place off, so it by no means will get made.
Get Letaido to jot down it.
On a schedule, it stitches collectively your AI share of voice and quotation developments from Model Radar, your search efficiency from Search Console, and your AI assistant referral visitors from Internet Analytics into one client-ready month-to-month narrative.
KPI tiles, month-over-month motion, the prompts you gained and misplaced, and a brief written abstract a non-specialist can comply with.
Starter immediate
Construct me a month-to-month AI-visibility report. On the first, pull my AI share of voice and quotation developments from Ahrefs Model Radar (ChatGPT, Perplexity, Gemini, Copilot, Google AI Overviews/AI Mode), my Search Console efficiency, and my AI-assistant referral visitors from Ahrefs Internet Analytics. Compose KPI tiles, month-over-month deltas, prompts gained/misplaced, and a plain-English abstract into one shareable report, and publish a hyperlink to my #advertising Slack channel.
Ultimate ideas
AEO isn’t a venture you end. The solutions transfer each week, and the protection is having one thing watching while you’re not.
That’s the true unlock right here: Get Letaido to run all of those on a schedule and ping you when a competitor begins profitable a immediate, when your pricing reveals up mistaken, and when sentiment slips.
If you happen to’re an Ahrefs buyer, you possibly can attempt Letaido at no cost for one month.
Paste a starter immediate right into a contemporary workspace and also you’ll have the primary model working as we speak. Then refine and customise it to your required workflow. You’ll have your private AEO instruments in no time.
