OpenAI has made its Decisions API generally available, doubling the limit to 400 questions per request. The October 22 release also adds prompt caching, native JSON input and inference residency in the US and EU.

The API uses GPT-6 Luna to classify text and images, route customer requests or select an agent’s next action from bounded answers.

Applications choose the form of the answer

The developer guide distinguishes three answer types. A predicate estimates whether a condition is true, such as whether a product photo shows damage.

A choice selects a category, such as billing or shipping. Scores apply ordered levels, as in the guide’s package-damage example, which ranges from none to major.

Independent questions share one input. Questions that depend on earlier answers require separate requests, so a 400-question call evaluates shared evidence rather than running a sequence of dependent tasks.

Repeated context can qualify for caching

Prompt caching reuses an unchanged portion of the shared input, such as a reference document. The reusable prefix must contain at least 1,024 tokens; question text does not count toward that threshold.

The guide shows putting a reference image in shared input and each comparison image inside its question. That arrangement can reuse the reference while evaluating different candidates.

OpenAI lists uncached input at $0.10 per million tokens and cached input at $0.01 per million. Cache writes have separate charges, and regional processing premiums can apply; output tokens are not charged.

Source: OpenAI

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Source:: searchenginewatch.com

Canva Craft, the company’s first image-generation model, is available globally in Dream Lab and through its public API. Canva announced the model on October 22.

Developed by Canva Research, Craft creates images at up to 2K resolution, supports more than 30 aspect ratios and can generate text in 55 languages. Users can also specify a custom aspect ratio.

Canva says the model first plans an image’s composition, including text, object placement and relative size. A separate rendering stage produces the picture from that plan.

The company reports that Craft debuted fourth among image models on DesignArena, which ranks models through community comparisons.

Magic Layers handles the editable elements

Craft’s planning structure supports Canva’s existing Magic Layers tool, which converts flat pictures into designs with individually editable text and objects.

Canva’s Magic Layers explanation describes how it identifies components in a flat image and reconstructs them in the editor. It can recognize text and rebuild it as editable text boxes, alongside separate objects and backgrounds.

This gives a designer a way to change a heading’s wording or font while working with the surrounding layout. A flat JPEG or PNG normally stores that heading as pixels, with no separate text box to select.

The company’s Magic Layers teaching resource covers updating text, colors and elements after conversion.

Canva lists Craft’s MCP connection for AI assistants as coming soon. Faster Craft-fast and Craft-ultrafast variants are also planned, without a release date in the announcement.

Source: Canva

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Source:: searchenginewatch.com

Ahrefs says Google is returning altered search results to suspected search-data collectors, with 5% to 20% of results affected depending on the provider.

In an October 22 update, the company said it is filtering out abnormal results, requesting replacements and cleaning up previously collected data.

Ahrefs calls the behavior “poisoning” and says it has increased over recent weeks. The announcement gives no sample size, provider names or detection methodology, so the percentage has to be read as the company’s reported experience.

Ahrefs does not say how much affected data reached customer reports before its filters caught it.

The statement follows earlier reports from Semrush and other rank trackers about misleading Google results reaching automated collectors. Ahrefs says it will communicate further developments through dashboard notifications.

Corrected results can change keyword estimates too

A search engine results page, or SERP, supplies more than a list of positions. Ahrefs‘ documentation explains that refreshing one can also change Keyword Difficulty and Traffic Potential estimates.

That creates a reporting complication during the cleanup: a change in those estimates could reflect replacement data. Keep the collection date alongside exported figures when comparing reports produced before and after a correction.

Ahrefs provides an Update control in Keywords Explorer for fetching a fresh SERP. Its announcement gives no completion date for the historical cleanup or a list of affected keywords.

Compare suspicious drops with search traffic

Start with the stored results behind a reported ranking change. In Site Explorer, open the keyword’s SERP table and use the date picker to compare earlier snapshots. The available history depends on the account’s plan.

Then compare the same query, country, device and period in Google Search Console’s Performance report. Clicks and impressions help establish whether the apparent ranking loss coincided with a change in search traffic or visibility.

Search Console’s position metric averages the topmost result from a site across impressions. It will therefore differ from a tracker’s single observation, even when both datasets are working normally.

Ahrefs also documents routine differences caused by collection timing, location and personalization. Give support the affected query, URL, country and timestamp so it can investigate the specific result.

Source: Ahrefs

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Source:: searchenginewatch.com

Google appears to be testing a new look for sitelinks in ads within AI Mode. The sitelinks now show with an arrow next to them. I hadn’t seen arrow in sitelinks in ads before, so this is new to me.

Previously, sitelinks in these ads showed as plain links without an arrow. I haven’t seen this design before.

Here is a screenshot:

Have you seen arrows on sitelinks in AI Mode ads?

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Source:: searchenginewatch.com

Google is testing a new design for the Knowledge Panel in the SERP, with some minor changes compared to the current layout.

This was first spotted by Ben Fisher, who posted about it on LinkedIn.

He wrote: “This KP design has been flipping for three days now. A signal that one pane design may become permanent.”

Here is the screenshot he shared of the new design.

Here is the screenshot he shared of the old design.

Since Fisher says the design has been flipping back and forth for three days, Google may be getting close to settling on one version. It looks like the new design could roll out more widely soon. I think it might also help businesses get more clicks and calls, though that is only my guess.

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Source:: searchenginewatch.com