Lectern works in your Slack. Every week it reads what ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews (Claude on Lead) tell your buyers. It prepares the fixes. You have final say.
Free · No card · Your report in a few minutes
Sometimes. ChatGPT named Presscart in 3 of 27 answers last week. Across all five assistants it was 12 of 125. That is not a rise yet: the week before was 8 of 128, inside the margin.
Who named Presscart
A pull request with the missing answer. Checked against the live file and your brand facts.
Slack for the conversation, GitHub for the change, Search Console and Analytics for the evidence.
Every change is read again at 7, 14 and 30 days. Every figure comes with its margin.
Not enough to judge yet: the difference is inside the margin.
A tracker hands you a score. Lectern hands you the work, for your yes.
You still have to work out why, write the fix and ship it.
Real change, filed 13 Oct for presscart.com. AI cited g2.com, presspilot.io and badenbower.com instead.
A number with no margin, no reason and no next step.
Presscart was named in 12 of 125 AI answers this week.
10%, ±5 points. The panel gained Gemini and Perplexity on 28 Sep, so there is no like-for-like comparison yet. Seven decisions are waiting; the first is ready to approve.
The real Monday brief for presscart.com, 19 Oct 2026.
A label. Which sentences, which sources, and what to do about them is left to you.
Real reputation reading for presscart.com, week of 19 Oct 2026.
A list of articles that leave you out. Finding the authors and writing to them is on you.
Real card in Presscart’s inbox, filed 25 Sep 2026.
Lectern joins like a new teammate and posts in the channel you choose.
Search Console for evidence, your site’s repository so fixes arrive as pull requests.
See what each assistant answers for free, then let Lectern take the weekly job.
Lectern asks before anything goes live. If something changed since it looked, it stops and tells you.
Lectern’s first customer is Presscart. These are its real numbers, with the caveats Lectern itself attaches.
The panel gained Gemini and Perplexity on 28 September, so the weeks before and after did not measure the same thing. This week’s 10% carries ±5 points.
changes shipped to presscart.com since 31 August, each one a pull request a person merged.
answers about Presscart’s reputation named the brand in the week of 19 October. None called it a scam.
“We’ll never over promise, we’ll never guarantee that you’ll get a return.”
FAQ
AEO is the practice of making sure your brand is the one AI recommends when someone asks for help. When people ask ChatGPT, Gemini, or Perplexity questions like "What's the best CRM for startups?", they get specific recommendations, not a list of blue links. AEO is about being that recommendation. Read the full guide to AEO.
Most AEO platforms show you where you stand and leave the work to you. Lectern does the work: it prepares page fixes as pull requests, drafts articles from interviews with your team, and pitches the authors AI keeps citing. You approve each change before it ships.
On Monday it re-checks your buyer questions across ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews (Claude on Lead) and posts a short review in Slack with the one to three fixes worth doing. Once you approve, it prepares them: a pull request for a page change, an article drafted from an interview with your team, or a pitch to the author of an article AI keeps citing. On Friday it posts what shipped, what is waiting on you and the credits used.
It researches, measures and prepares drafts on its own. Anything that changes your site, sends an email or spends money waits for an explicit yes from someone on your team, in the Slack thread or in the web inbox. Approving one change never approves the next.
No. Everything also works in the web app, where the inbox holds every approval. Slack is where Lectern is most useful, because you can answer it in one line without opening another tool.
Lean marketing teams and founders who know AI assistants now shape how buyers build a shortlist, but have no one whose job is to act on it. If you can spare ten minutes a week for approvals, Lectern does the rest of the job.
Type one question your buyers ask into the box at the end of this page. You will see how each AI answers it, which brands it recommends and which sources it cites. For the full method, read the AI visibility audit every company should run.
Yes. Each client gets its own site with its own approvals, and Lectern prepares the work so your team reviews rather than produces. Talk to us about Enterprise if you run many brands.
In the first week: fixes proposed with evidence, and the first ones prepared for your approval. Changes in what AI recommends take longer and vary by question, so Lectern re-measures every change at 7, 14 and 30 days and reports what moved and what did not, instead of promising a number up front.
Start free with $50 in credits and no card: Hobby gives a new team 5,000 credits its first month, then 500 a month. Lectern Lead is $990 a month per brand, with a weekly brief, a Friday debrief, a prepared site fix and outreach pitches, a daily check, and 60,000 credits included, plus a monthly usage limit. At the limit Lectern starts no new work; a run already going finishes, so the month can end slightly over it. Enterprise is custom: talk to us. See the pricing page for what each plan includes.
A question we hear on sales calls
Check one buyer question. See what each assistant answers, who it names and what it cites.
