01
Review platforms
Complete, current profiles where your category gets compared. When a prompt asks who's best, these are the pages the engines quote first.
AEO / GEO
Be the answer the machines give.
Your buyer asks ChatGPT for the shortlist before they open a single vendor site. If the model doesn't know what you do, you don't make the list - and there's no page two to rank on.
Week two you get the baseline: every prompt, every engine, where you stand today.
prompt mapbest outbound tools for seed-stage b2b saas
ComparisonAlternativesVendor pickHow-to
Tracked prompts
best outbound tools for seed-stage b2b saasVendor pick
alternatives to hiring an sdrAlternatives
clay vs apollo for founder-led salesComparison
how do i build a gtm motion with no teamHow-to
re-run weekly across every engine
The work
Four workstreams, running at once.
Answer engine visibility isn't a content project. It's measurement, machine-readability, published evidence, and a crawler log - and skipping any one of them stalls the other three.
We map the prompts your buyers actually type, then run them against every engine on a schedule. You see who gets named in your category, at what rank, where the models have your story wrong - and which sources each engine trusted to build the answer, so we know whether you're losing on content, authority, or recognition.
Share of answer
ChatGPT#2
Perplexity#1
Gemini#4
Claude-
Ranked against everyone else the model named
Share of answer
ChatGPT#2
Perplexity#1
Gemini#4
Claude-
Ranked against everyone else the model named
What the weekly report answers
What you are choosing between
Four workstreams. Everyone sells one.
A tracker tells you which engines name you and which sources they trusted, and it is genuinely good at that. Then it hands you a login. An SEO agency ships the schema and publishes the pages, and has no notion of what an engine answered.
Blesso
Measured, fixed, published
An SEO agency
Rankings on ten blue links
An AI-visibility tracker
Measurement, then a login
Your content team
Writing, no machine layer
Measure
The prompts your buyers type
Runs the job. Mapped, then run on a schedule
Part of it. Keywords, which are not questions
Runs the job. Their core product
Not covered.
Every engine, not one
Runs the job. Swept weekly, all of them
Not covered.
Runs the job. This is what they are for
Not covered.
Which sources the model trusted
Runs the job. Content, authority or recognition
Part of it. Backlinks, a different question
Runs the job. Cited sources, listed
Not covered.
Fix what the models can read
Schema and structured data
Runs the job. Shipped, not recommended
Runs the job. Technical SEO does this well
Not covered.
Not covered.
llms.txt and crawler permissions
Runs the job. Written, and the bots checked in
Part of it. robots.txt yes, llms.txt rarely
Not covered. Flags it, cannot fix it
Not covered.
Third-party listings corrected
Runs the job. Docs, directories, profiles
Part of it. Citations, for local rankings
Not covered.
Part of it. If somebody owns it
Earn the citation
Answer-first pages
Runs the job. Direct answer, evidence underneath
Part of it. Written to rank, not to be quoted
Not covered.
Part of it. Can, once somebody explains why
Published under your brand
Runs the job. Your domain, your voice
Runs the job. Same deliverable
Not covered.
Runs the job. Already their job
Off-site sources earned
Runs the job. Real answers under your name
Not covered. Bought links are the usual route
Not covered.
Part of it. Rarely has the mandate
Prove it landed
Crawler logs read
Runs the job. Which bots took which pages
Runs the job. Log-file analysis is standard
Not covered.
Not covered.
Movement traced per prompt
Runs the job. Back to the page and fix that caused it
Not covered.
Part of it. Shows the move, not the cause
Not covered.
Does the jobPart of itNot what it's for
The split runs the same way every time: somebody measures, somebody publishes, and the work that connects the two is the work nobody sells. That gap is the next section.
Coverage
Six vendors. Eight places to get named.
Search sent buyers ten blue links and let them choose. An answer engine names three vendors and moves on. Being cited by one and invisible in the rest is the same as being invisible - so we sweep all of them, not the one that flatters the report.
See your baselinere-swept weekly
Your brand
ChatGPT
Google
Perplexity
Claude
Copilot
Grok
Eight surfaces, six vendors: ChatGPT, Perplexity, Claude, Copilot and Grok - plus Google three times over, because AI Overviews, AI Mode and Gemini can each name a different shortlist.
The report
You don't get a slide. You get the console.
Every prompt, every engine, every citation - in the same operator console that runs your outbound and your content. No screenshots pasted into a deck once a month.
operator console - answer engine visibility
The gap
A score tells you you're invisible. It doesn't fix it.
There are good tools now for measuring AI visibility. They hand you a number, a prompt list, and a login - and they assume a content team on the other side to act on it. That assumption is the whole problem: the work isn't knowing you're missing from the answer, it's writing the thing that gets you into it, week after week. Measurement is where we start, not what we sell.
- where a dashboard stops1
Measure
Prompts mapped, engines swept, gaps ranked
- the part that needs an operator2
Fix
Schema, llms.txt, structure, crawler access
- 3
Publish
Answer pages written and shipped under your brand
- 4
Re-measure
Same prompts, next week, against what changed
And it runs off one queue as your organic search work, because it's the same page. A page a model will quote - direct answer up top, evidence underneath, structured so a machine can lift it - is a page that ranks. Written once, working in both places.
See the inbound motionThe line we hold
Some agencies buy the mention. We earn it.
There's a whole industry seeding Reddit threads and comment farms to get named by a model. It works until the training set gets cleaned - and then it takes your brand out with it.
What we refuse
What we do instead
What we refuse
Seeded comments on forums and community threads
What we do instead
Real answers in those same threads, with your name and affiliation on them
What we refuse
Sockpuppet accounts arguing for your product
What we do instead
Real customer evidence the models can verify
What we refuse
Bought links and paid listicle placements
What we do instead
Directory and listing entries corrected to the truth
What we refuse
Prompt-stuffing pages written for machines to skim
What we do instead
Pages a buyer would want to read, structured so a model can quote them
What we refuse
Vanity dashboards nobody can act on
What we do instead
A weekly report tied to the pages and fixes it triggered
If a model names you, it's because the source was worth citing.
The sources
Models trust what others say about you. So we earn that too.
An unknown company describing itself is rarely the source an engine cites. Answers get composed from places the models already trust - and we build your presence there the same way we build your pages: real, verifiable, under your own name.
02
Directories & associations
Industry directories and association listings, kept accurate and consistent with your site - so every source tells the same story about who you are.
03
Editorial coverage
Mentions and references in the publications the engines already cite - pitched with real stories and real data, never bought.
04
Founder authority
Your founder writing and answering under their own name, with consistent profiles the models can connect back to the company.
05
Citable research
Original benchmarks and data other publishers want to reference. The fastest way to become a source is to publish something worth citing.
06
Community answers
The threads where buyers compare vendors feed the models' memory. We answer there honestly - it's slower, which is exactly why the astroturfers fake it.
Owned pages make you clear. Outside sources make you credible.
How it runs
Measure first. Then earn the answer.
Workstream
wk 1wk 4wk 7wk 10wk 12
Prompt map
What buyers ask the engines
Visibility baseline
Where you stand on every engine
Site readability fixes
Schema, llms.txt, clean structure
Answer-ready pages
Comparisons, definitions, FAQs
Source accuracy sweep
Docs, listings, and profiles models read
Engine sweeps
Re-run prompts, log every citation
Crawler watch
Who read you, and what they took
Source authority
Reviews, directories, citable research
Weeks 1–12 shown. Ongoing workstreams continue for the life of the engagement.
The questions buyers actually ask
This is a young channel with a lot of noise around it. Here's where we draw the lines - including the parts nobody can promise.
There's no deterministic attribution here, and nobody can hand you a clean click path from an AI answer to a signup. What we can do is triangulate - share of answer as the leading indicator, referral headers from Perplexity and ChatGPT browsing sessions, a self-reported "how did you hear about us" on your forms, and pipeline as the lagging measure. If someone promises you exact AEO attribution, they're selling you a number they made up. The weekly report puts all three tiers side by side so you can see which one moved.
Your product earned distribution. Let's ship it.
Book a 30-minute call. You'll leave with a straight read on your ICP, your channels, and what 90 days of Blesso would do to your pipeline - whether or not we work together.
Reply within one business day · No deck, no pitch, just the math