When buyers ask AI “best [your category],” your brand should be in the answer.
AI search can turn broad buyer prompts into related sub-questions. Lectern records provider-level observations for your selected prompts and identifies missing coverage; Presscart then helps publish answer-ready stories on 1,700+ vetted publishers.
Scan delivered by Lectern, our AI visibility agent. Free. No credit card.
Trusted by 2,700+ brands and agencies
What is Answer Engine Optimization (AEO)?
Answer Engine Optimization (AEO) is the practice of making brand information clear, accessible, and verifiable for people and AI assistants such as ChatGPT, Perplexity, Google AI Overviews, and Gemini. Work can include structured on-site content, relevant third-party sources, and monitoring how a brand is described.
AEO builds on SEO rather than replacing it. Fast pages, clear structure, original information, and relevant external sources still matter. Presscart creates clearly structured third-party stories; Lectern records prompt-level observations, cited sources, and competitor presence. No placement can guarantee indexing, ranking, mention, or citation.
For the full definition and how the practice works, read What is answer engine optimization (AEO)? and AEO vs SEO.
Reference points: Google's AI features guidance and OpenAI's crawler documentation .
Placements in the publications AI assistants already cite
Visibility and cited sources, query by query
Track a defined prompt panel, where competitors appear, which sources are cited, and how AI describes you when it does mention you. Every report should name the successful prompt-provider observations and any missing coverage.
Answer-ready placements
1,700+ publishers — including local newsrooms and vertical publishers that can provide independent source context. Every article ships with clear headings, named facts, and visible brand details. Indexing, rankings, and AI citations remain independent platform decisions.
A compounding asset, not a one-off hit
Each placement creates a reusable third-party source that can support reader research and brand context after the campaign ends. Indexing, rankings, and AI citations remain independent platform decisions.
How AEO works with Presscart + Lectern
Scan visibility and source gaps
Lectern runs a defined set of target prompts across the providers configured for the scan. The baseline records successful provider-level observations, brand and competitor mentions, cited sources, and missing cells so absence is not mistaken for a failed mention.
Publish answer-ready stories
Pick from 1,700+ publishers with transparent line-item pricing. You can supply your own article or add writing from our Editorial Studio, which writes clearly structured articles and discloses paid editorial. Live URL on every placement, or refund of the placement fee.
Compare follow-up observations
Lectern re-runs the same tracked panel at agreed intervals. Reports compare observed mentions, cited sources, and brand descriptions under the same methodology; results may change, stay flat, or vary between runs.
See where AI puts your brand today.
The free Lectern scan runs a defined set of target prompts across the providers configured for the report. You'll see which successful observations mention you or competitors, which sources they cite, how your brand is described, and which prompt-provider cells were not measured.
Where placements are published
Each placement is a paid article on a named outlet you choose.
Frequently asked questions about AEO
The what, why, and how of Presscart.
Isn't AEO just SEO with a new name?
AEO is SEO plus three things: answer-ready content (clean blocks AI can extract), source management (cleaning up how you're described in third-party places already cited by AI), and compliant digital PR (independent sources where you can't win on your own domain). Google's AI feature guidance points back to standard Search fundamentals rather than a special AEO markup layer. The fundamentals still matter; the surfaces are different.
What's the difference between a visibility gap and a narrative gap?
A visibility gap means the brand is absent from a successfully observed answer. A narrative gap means it appears but is described inaccurately or weakly — for example, 'enterprise-only' despite a lower-priced plan, or as the wrong product category. Missing provider data is a measurement gap, not a visibility gap. Reports separate all three.
How does query fan-out actually work?
Google documents that AI Overviews and AI Mode may use query fan-out, issuing multiple related searches across subtopics and data sources. So 'best CRM for startups' can branch into angles like free tiers, migration support, solo-founder workflows, and product comparisons. We map those branches per prompt, identify which the brand can plausibly win, and target those.
Can you guarantee I'll show up in ChatGPT?
No, and you should be skeptical of anyone who does. AI retrieval is non-deterministic, varies by user context, and changes as models update. What we can commit to: tracking citation share, cited pages, grounding-query coverage, AI-referral sessions (via utm_source=chatgpt.com and Bing's AI Performance dashboard), and conversions — and reporting trajectory monthly.
Why a 3-month minimum?
Because that's how the systems work. Google's docs note that recrawling and reprocessing structured-data or content changes can take days and sometimes longer. Bing says reflected changes can take seconds to a week. OpenAI takes about 24 hours to respond to robots.txt updates. Once content is published, citations build over weeks as models re-retrieve. A multi-month engagement is operational reality, not a sales gimmick.
Are your PR placements compliant with Google and the FTC?
These are paid placements. Each publisher sets its own labelling, and the listing shows it where the publisher states one. Link type is shown on each listing and varies by outlet. We don't use irrelevant white-label pages dropped on authority domains purely to borrow ranking signals; Google's site-reputation-abuse policy is designed to address that pattern.
Will you edit my Wikipedia page or pay for fake reviews?
No. Wikipedia notability requires significant coverage in independent reliable sources, and conflict-of-interest rules discourage paid editing. The right path is to earn coverage first, then request factual corrections transparently where allowed. Compensated reviews on community platforms like Reddit also fall under FTC disclosure rules. We work the durable way: real coverage, real evidence, real corrections.
How do you actually measure progress?
Every report starts with intended versus successful prompt-provider observations so missing data is visible. It then records mentions, cited pages, brand descriptions, and relevant prompt-family coverage. Search Console and Bing AI Performance data are used where available; GA4 tracks known AI referrals, engaged sessions, and conversions. Visibility, traffic, and business outcomes are reported as separate layers rather than collapsed into one score.
What's actually delivered each month?
Discovery (ICPs, buyer-journey prompt mapping, source-control matrix) up front. Then per month: 8 answer-ready articles on your site (typically 2/week), source-update sprints across the third-party surfaces already being cited (business profiles, retailer/marketplace listings, app-store/software-directory pages), a community-source plan where relevant (Reddit, forums, niche communities — done compliantly), and a monthly citation report. Strategic PR runs as a priced add-on against the highest-value fan-out branches.
Who is this not for?
Three groups: (1) Teams under ~$5K/mo that can't fund both content and source/PR work simultaneously — the program won't have enough surface area to move metrics. (2) Companies that need a guaranteed mention in under 30 days — that's a different motion. (3) Large teams that want to debate every change. The program works best when one operator can approve work and stay out of the way.
What about the Search Console impression-data caveat?
Worth knowing: Search Console reporting can change when Google changes how AI features appear and are counted in Search. Reports should annotate known data anomalies and avoid over-interpreting impressions or CTR without click, conversion, and downstream engagement context.
Make your brand easier to cite.
Start with a Lectern baseline that states its prompt and provider coverage. Then publish answer-ready stories and compare complete observations over time.