Skip to content

Built for Google Search, AI Overviews, ChatGPT, Perplexity, Gemini, Copilot.

Model comparisons

The answer names a model. The site names three.

A reply picks a version. The site still markets three names.
The citation lands on the benchmark that named one checkpoint.

(4.9/5 Rating Stars)

Cited in AI companies

reddit.com is the most cited domain in AI companies.

Source for this chart: Top cited domains. This data is accumulated from multiple sources and internal training data, which helps us get the client cited.

Cited domains by engine for AI companies
Domain
1939——0
01,143——0
0596——0
10——0
10——0
10——0
10——0
10——0
10——0
10——0
10——0

A dash means this snapshot has no count for that engine. A zero means the domain was not cited in the measured sample.

Snapshot 8 Oct 2026 · United States · top eight domains

What the reply must pick

A model, a job, and a release.

We would build comparison pages, a public name map, docs pinned to a release, and integration pages for stacks people already ask about.

Illustration

Question

best model for contract review under a token budget

The job, the constraint, and the checkpoint. A leaderboard image is not the page a reply can quote.

  1. Model for contract review under a token budgetOpening a model can liftCited
  2. A public name mapAI companiesCited
  3. AI coding assistant versus the one already in the IDETool comparisonRead
  4. which release still supports the old function-call formatReleaseRead
  5. connect this model to a private retrieval stackIntegrationRead

Answer

The job, the budget, and the checkpoint this page means. Company and product sit beside that name.

  • Model for contract review under a token budget
  • A public name map

One noun, one job, one release. A chat product can repeat that passage without guessing which thing you sell.

SEO, AEO, GEO, AIO

Four checks on the model name.

Comparison and release URLs are what should rank. The name map is what lets a reply select one noun.

  • 01 — SEO

    One model, one page

    Comparison queries resolve to the version the benchmark actually tested.

    How search is built
  • 02 — AEO

    The name that matches

    Product, model, and checkpoint are written so a quote cannot mix three brands.

    How answers cite a page
  • 03 — GEO

    Model prompts

    Copilot and ChatGPT are asked which model fits the job, and which version they name.

    GEO consultant
  • 04 — AIO

    Overview of the model

    An overview that cites a benchmark is recorded apart from the chat reply.

    AIO consultant

Buyers cannot tell which thing to ask for.

An AI company ships under a company, a product, a model family, and a checkpoint. Chat replies treat those as one noun until a page lines them up. When it does not, the reply recommends a release you retired, a research codename, or a wrapper that calls your API and takes the mention.

The queries that move a conversation are comparisons. Contract review under a token budget. A coding assistant set beside the one already in the IDE. Which release still accepts the previous function-call format. Docs and integration pages help only when they name the release the sample was written for and the stack the buyer already runs. A homepage that says “frontier” gives the reply nothing to select.

What we line up first

One public name, then the comparisons.

The first audit is where replies already disagree with the site: the nouns, the releases, and the URLs that should own a comparison.

  • 01

    A public name map

    Company, product, model family, and the checkpoint you want named, on one URL. Retired codenames point forward to that name.

  • 02

    Comparisons that pick a job

    Each page names the other model and the work. It states the constraint, tokens or latency or residency, and the buyer who should choose the other model.

  • 03

    Docs pinned to a release

    Samples say which release they target. A changed function-call format gets its own note, so an older tutorial cannot look like the method to ship.

  • 04

    Integrations people already ask for

    Private retrieval, the IDE, the help desk, the warehouse. One stack per URL, with the product name written the same way as on the name map.

Illustration
  • A public name mapbest model for contract review under a token budget
  • Comparisons that pick a jobAI coding assistant versus the one already in the IDE
  • Docs pinned to a releasewhich release still supports the old function-call format

The page

Model for contract review under a token budget

AI companies

Links

The first audit is where replies already disagree with the site: the nouns, the releases, and the URLs that should own a comparison.

The pass is an illustration for AI companies. A referring page sends a link to the URL that should own the query.

The practice

How this engagement runs.

  1. 01

    Write the name map

    Company, product, model, checkpoint. Old names point forward.

  2. 02

    Pick the comparisons

    Jobs people already ask, including the tool already in the IDE. Not every benchmark cell.

  3. 03

    Pin the release

    Docs and integration pages state the release they were written for. Logo rows stay directories.

  4. 04

    Read the reply

    Rankings on those URLs, citations, share of answer on the prompt list, and signups tied to the URL. Nothing public until the client clears it.

We will not publish a leaderboard that calls a checkpoint the best model on the market, or leave three product names unlabeled and hope a reply reconciles them.

What we watch. We would measure rankings on the comparison and release URLs, citations that name this company, share of answer against the other names in that reply, and pipeline as demo or API signups analytics can tie to the non-brand URL. A named result is published when that client clears the figure. Until a figure is cleared, the log is the record: ranked, cited, named, or absent. A client figure is added here only after that client clears it.

Related practice

AI company questions

Next

Audit the page a reply should name.

Book a visibility audit on the comparison or the name map. Scoring one URL free shows whether that noun can be fetched.